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Gotuzzo I, Slart RHJA, Gimelli A, Ashri N, Anagnostopoulos C, Bucerius J, Buechel RR, Gaemperli O, Gheysens O, Glaudemans AWJM, Habib G, Hyafil F, Lubberink M, Saraste A, Podlesnikar T, Dweck MR, Erba PA. Nuclear medicine practice for the assessment of cardiac sarcoidosis and amyloidosis. A survey endorsed by the EANM and EACVI. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06727-5. [PMID: 38679624 DOI: 10.1007/s00259-024-06727-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Affiliation(s)
- Irene Gotuzzo
- Department of Medicine and Surgery, Nuclear Medicine Unit, University of Milan Bicocca, ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | - Riemer H J A Slart
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, Groningen, 9700 RB, the Netherlands
- Biomedical Photonic Imaging Group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Alessia Gimelli
- Department of Imaging, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Nabila Ashri
- European Association of Nuclear Medicine (EANM), Vienna, Austria
| | | | - Jan Bucerius
- Department of Nuclear Medicine, Georg-August University Göttingen, Universitätsmedizin Göttingen, Göttingen, Germany
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | | | - Olivier Gheysens
- Department of Nuclear Medicine, Institut Roi Albert II, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, 1200, Belgium
| | - Andor W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, Groningen, 9700 RB, the Netherlands
| | - Gilbert Habib
- Department of Cardiology, APHM, La Timone Hospital, Marseille, France
| | - Fabian Hyafil
- Department of Nuclear Medicine, DMU IMAGINA, Georges-Pompidou European Hospital, Assistance Publique - Hôpitaux de Paris, Paris, F75015, France
| | - Mark Lubberink
- Medical Imaging Centre, Uppsala University Hospital, Uppsala, Sweden
| | - Antti Saraste
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Tomaz Podlesnikar
- Department of Cardiac Surgery, University Medical Centre Maribor, Maribor, Slovenia
- Department of Cardiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh Heart Centre, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, UK
| | - Paola A Erba
- Department of Medicine and Surgery, Nuclear Medicine Unit, University of Milan Bicocca, ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy.
- Medical Imaging Center, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, PO Box 30.001, Groningen, 9700 RB, the Netherlands.
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Hasse B, Ledergerber B, Van Hemelrijck M, Frank M, Huellner MW, Muehlematter UJ, Buechel RR, Husmann L. FDG uptake patterns in PET/CT caused by inflammation and/or infection after graft surgery for thoracic aortic dissection. J Nucl Cardiol 2024:101865. [PMID: 38679286 DOI: 10.1016/j.nuclcard.2024.101865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/02/2024] [Accepted: 04/11/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND To identify FDG uptake patterns in PET/CT caused by infection, inflammation, surgical material and/or graft coating. METHODS AND RESULTS Of 610 consecutive patients with thoracic aortic graft surgery, 60 patients with 187 PET/CT were retrospectively included. We quantified FDG uptake in all grafts, using maximum standardized uptake value (SUVmax) alone and in relation to liver background (SUVratio), and determined the uptake pattern. Mixed linear regression models with random slope and intercept were applied for the analysis of SUVratio over time and generalized estimating equations to analyze the associations with anastomosis uptake. FDG uptake was frequently focal (90%), higher in infected than in non-infected grafts (mean SUVratio 2.19; 95% CI 2.05-2.32 versus 1.63; 1.46-1.79, p<0.001), and decreasing slowly over time (SUVratio per year since surgery -0.048; 95% CI -0.15- 0.051, p=0.34), without a difference in slope between infected and non-infected grafts (p=0.52). There was no evidence of an interaction between SUVratio and use of BioGlue® surgical adhesive (intercept p=0.73, slope p=0.71), or graft coating (gelatin and collagen, all p>0.7). FDG uptake at the anastomosis was more frequent in non-infected than in infected grafts (66% versus 21%, odds ratio (OR) 11.34; 95% CI 3.61-35.66, p<0.001). This effect was attenuated by the use of BioGlue® (OR 5.05; 95% CI 0.45-56.9, p=0.19). CONCLUSIONS FDG uptake in PET/CT after thoracic aortic graft surgery is higher in infected than in non-infected grafts. In non-infected grafts, focal uptake is also frequent, mostly anastomosis-associated, not associated with graft coating, and possibly affected by use of BioGlue®.
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Affiliation(s)
- Barbara Hasse
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich / University of Zurich, Zurich, Switzerland
| | - Bruno Ledergerber
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich / University of Zurich, Zurich, Switzerland
| | - Mathias Van Hemelrijck
- Clinic for Cardiac Surgery, University Hospital Zurich / University of Zurich, Zurich, Switzerland
| | - Michelle Frank
- Department of Cardiology, University Hospital Zurich / University of Zurich, Zurich, Switzerland
| | - Martin W Huellner
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Zurich, Switzerland
| | - Urs J Muehlematter
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Zurich, Switzerland
| | - Lars Husmann
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Zurich, Switzerland.
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von Känel R, Princip M, Holzgang SA, Giannopoulos AA, Kaufmann PA, Buechel RR, Zuccarella-Hackl C, Pazhenkottil AP. Cross-sectional study on the impact of adverse childhood experiences on coronary flow reserve in male physicians with and without occupational burnout. J Psychosom Res 2024; 181:111672. [PMID: 38636300 DOI: 10.1016/j.jpsychores.2024.111672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 04/13/2024] [Accepted: 04/13/2024] [Indexed: 04/20/2024]
Abstract
OBJECTIVE Physicians face documented challenges to their mental and physical well-being, particularly in the forms of occupational burnout and cardiovascular disease. This study examined the previously under-researched intersection of early life stressors, prolonged occupational stress, and cardiovascular health in physicians. METHODS Participants were 60 practicing male physicians, 30 with clinical burnout, defined by the Maslach Burnout Inventory, and 30 non-burnout controls. They completed the Adverse Childhood Experiences (ACE) Questionnaire asking about abuse, neglect and household dysfunctions before the age of 18, and the Perceived Stress Scale to rate thoughts and feelings about stress in the past month. Endothelium-independent (adenosine challenge) coronary flow reserve (CFR) and endothelium-dependent CFR (cold pressor test) were assessed by positron emission tomography-computed tomography. The segment stenosis score was determined by coronary computed tomography angiography. RESULTS Twenty-six (43%) participants reported at least one ACE and five (8%) reported ≥4 ACEs. A higher ACEs sum score was associated with lower endothelium-independent CFR (r partial (rp) = -0.347, p = .01) and endothelium-dependent CFR (rp = -0.278, p = .04), adjusting for age, body mass index, perceived stress and segment stenosis score. In exploratory analyses, participants with ≥4 ACEs had lower endothelium-independent CFR (rp = -0.419, p = .001) and endothelium-dependent CFR (rp = -0.278, p = .04), than those with <4 ACEs. Endothelium-dependent CFR was higher in physicians with burnout than in controls (rp = 0.277, p = .04). No significant interaction emerged between burnout and ACEs for CFR. CONCLUSION The findings suggest an independent association between ACEs and CFR in male physicians and emphasize the nuanced relationship between early life stressors, professional stress, and cardiovascular health.
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Affiliation(s)
- Roland von Känel
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Mary Princip
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Sarah A Holzgang
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Claudia Zuccarella-Hackl
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Cardiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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4
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Mikail N, Sager DF, Gebert P, Haider A, Todorov A, Bengs S, Sablonier N, Glarner I, Vinzens A, Sang Bastian N, Epprecht G, Sütsch C, Delcò A, Fiechter M, Portmann A, Treyer V, Wegener S, Gräni C, Pazhenkottil A, Gebhard CE, Regitz-Zagrosek V, Tanner FC, Kaufmann PA, Buechel RR, Rossi A, Gebhard C. Imaging of the brain-heart axis: prognostic value in a European setting. Eur Heart J 2024:ehae162. [PMID: 38596850 DOI: 10.1093/eurheartj/ehae162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 01/28/2024] [Accepted: 03/04/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND AND AIMS Increasing data suggest that stress-related neural activity (SNA) is associated with subsequent major adverse cardiovascular events (MACE) and may represent a therapeutic target. Current evidence is exclusively based on populations from the U.S. and Asia where limited information about cardiovascular disease risk was available. This study sought to investigate whether SNA imaging has clinical value in a well-characterized cohort of cardiovascular patients in Europe. METHODS In this single-centre study, a total of 963 patients (mean age 58.4 ± 16.1 years, 40.7% female) with known cardiovascular status, ranging from 'at-risk' to manifest disease, and without active cancer underwent 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography between 1 January 2005 and 31 August 2019. Stress-related neural activity was assessed with validated methods and relations between SNA and MACE (non-fatal stroke, non-fatal myocardial infarction, coronary revascularization, and cardiovascular death) or all-cause mortality by time-to-event analysis. RESULTS Over a maximum follow-up of 17 years, 118 individuals (12.3%) experienced MACE, and 270 (28.0%) died. In univariate analyses, SNA significantly correlated with an increased risk of MACE (sub-distribution hazard ratio 1.52, 95% CI 1.05-2.19; P = .026) or death (hazard ratio 2.49, 95% CI 1.96-3.17; P < .001). In multivariable analyses, the association between SNA imaging and MACE was lost when details of the cardiovascular status were added to the models. Conversely, the relationship between SNA imaging and all-cause mortality persisted after multivariable adjustments. CONCLUSIONS In a European patient cohort where cardiovascular status is known, SNA imaging is a robust and independent predictor of all-cause mortality, but its prognostic value for MACE is less evident. Further studies should define specific patient populations that might profit from SNA imaging.
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Affiliation(s)
- Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Dominik F Sager
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Pimrapat Gebert
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
- Institute of Biometry and Clinical Epidemiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ahmed Haider
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA
| | - Atanas Todorov
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Noemi Sablonier
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Isabelle Glarner
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Adriana Vinzens
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Nastaran Sang Bastian
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Gioia Epprecht
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Claudia Sütsch
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Alessia Delcò
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Michael Fiechter
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
- Swiss Paraplegic Center, Nottwil, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Susanne Wegener
- Department of Neurology and Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 20, 3010, Bern, Switzerland
| | - Aju Pazhenkottil
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Caroline E Gebhard
- Intensive Care Unit, Department of Acute Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Vera Regitz-Zagrosek
- University of Zurich, Zurich, Switzerland
- Institute of Gender in Medicine (GiM), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Felix C Tanner
- Department of Cardiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952, Schlieren, Switzerland
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 20, 3010, Bern, Switzerland
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Garefa C, Sager DF, Heiniger PS, Markendorf S, Albertini T, Jurisic S, Gajic M, Gebhard C, Benz DC, Pazhenkottil AP, Giannopoulos AA, Kaufmann PA, Slomka PJ, Buechel RR. Duration of adenosine-induced myocardial hyperemia - Insights from quantitative 13N-ammonia positron emission tomography myocardial perfusion imaging. Eur Heart J Cardiovasc Imaging 2024:jeae096. [PMID: 38584491 DOI: 10.1093/ehjci/jeae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/25/2024] [Accepted: 04/03/2024] [Indexed: 04/09/2024] Open
Abstract
AIMS To assess the impact of adenosine on quantitative myocardial blood flow (MBF) in a rapid stress-rest protocol compared to a rest-stress protocol using 13N-ammonia positron emission tomography (PET) myocardial perfusion imaging (MPI) and to gain insights into the time dependency of such effects. METHODS AND RESULTS Quantitative MBF at rest (rMBF), during adenosine-induced stress (sMBF) and myocardial flow reserve (MFR) were obtained from 331 retrospectively identified patients who underwent 13N-ammonia PET-MPI for suspected chronic coronary syndrome and who all exhibited no perfusion defects. Of these, 146 (44.1%) underwent a rapid stress-rest protocol with a time interval (Δtstress-rest) of 20 ± 4 minutes between adenosine infusion offset and rest-imaging, as per clinical routine. The remaining 185 (55.9%) patients underwent a rest-stress protocol and served as the reference. Groups did not differ regarding demographics, risk factors, medication, left ventricular function, and calcium scores. rMBF was significantly higher in the stress-rest vs. the rest-stress group (0.80 [IQR 0.66-1.00] vs. 0.70 [0.58-0.83] ml·min-1·g-1, p < 0.001) and, as sMBF was identical between groups (2.52 [2.20-2.96] vs. 2.50 [1.96-3.11], p = 0.347), MFR was significantly lower in the stress-rest group (3.07 [2.43-3.88] vs. 3.50 [2.63-4.10], p < 0.001). There was a weak correlation between Δtstress-rest and rMBF (r = -0.259, p = 0.002) and between Δtstress-rest and MFR (r = 0.163, p = 0.049), and the proportion of patients with abnormally high rMBF was significantly decreasing with increasing Δtstress-rest. CONCLUSIONS Intravenously applied adenosine induces a long-lasting hyperemic effect on the myocardium. Consequently, rapid stress-rest protocols could lead to an overestimation of rMBF and an underestimation of MFR.
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Affiliation(s)
- Chrysoula Garefa
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Dominik F Sager
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Pascal S Heiniger
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Susanne Markendorf
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Tobia Albertini
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Stjepan Jurisic
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Marko Gajic
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Piotr J Slomka
- Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Sciences, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
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Giannopoulos AA, Bolt B, Benz DC, Messerli M, Von Felten E, Patriki D, Gebhard C, Pazhenkottil AP, Gräni C, Kaufmann PA, Buechel RR, Gaemperli O. Non-Invasive Assessment of Endothelial Shear Stress in Myocardial Bridges Using Coronary Computed Tomography Angiography. Angiology 2024; 75:367-374. [PMID: 36786297 PMCID: PMC10870693 DOI: 10.1177/00033197231156637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Myocardial bridging (MB) is a segment of coronary arteries with an intramural course, typically spared from atherosclerosis, while the adjacent proximal segment is reported to be atherosclerosis-prone, a phenomenon contributed to local endothelial shear stress (ESS). We aimed to describe the ESS milieu in coronaries with MBs combining coronary computed tomography angiography with computational fluid dynamics and to investigate the association of atherosclerosis presence proximal to MBs with hemorheological characteristics. Patients (n = 36) were identified and 36 arteries with MBs (11 deep and 25 superficial) were analyzed. ESS did not fluctuate 5 mm proximally to MBs vs 5 mm within MBs (0.94 vs 1.06 Pa, p = .56). There was no difference when comparing ESS in the proximal versus mid versus distal MB segments (1.48 vs 1.37 vs 1.9 Pa, p = ns). In arteries with plaques (n = 12), no significant ESS variances were observed around the MB entrance, when analyzing all arteries (p = .81) and irrespective of morphological features of the bridged segment (deep MBs; p = .65, superficial MBs; p = .84). MBs are characterized by homogeneous, atheroprotective ESS, possibly explaining the absence of atherosclerosis within bridged segments. The interplay between ESS and atherosclerosis is potentially not different in arteries with MB compared with arteries without bridges.
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Affiliation(s)
- Andreas A. Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Basil Bolt
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Dominik C. Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Elia Von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Aju P. Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
- Department of Cardiology, Inselspital Bern, Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital Bern, Bern, Switzerland
| | - Philipp A. Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Ronny R. Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
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7
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Schaab JA, Candreva A, Rossi A, Markendorf S, Sager D, Messerli M, Pazhenkottil AP, Benz DC, Kaufmann PA, Buechel RR, Stähli BE, Giannopoulos AA. A simple coronary CT angiography-based jeopardy score for the identification of extensive coronary artery disease: Validation against invasive coronary angiography. Diagn Interv Imaging 2024; 105:151-158. [PMID: 38007373 DOI: 10.1016/j.diii.2023.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/03/2023] [Accepted: 11/08/2023] [Indexed: 11/27/2023]
Abstract
PURPOSE The invasive British Cardiovascular Intervention Society Jeopardy Score (iBCIS-JS) is a simple angiographic scoring system, enabling quantification of the extent of jeopardized myocardium related to clinically significant coronary artery disease (CAD). The purpose of this study was to develop and validate the coronary CT angiography-based BCIS-JS (CT-BCIS-JS) against the iBCIS-JS in patients with suspected or stable CAD. MATERIALS AND METHODS Patients who underwent coronary CT angiography followed by invasive coronary angiography, within 90 days were retrospectively included. CT-BCIS-JS and iBCIS-JS were calculated, with a score ≥ 6 indicating extensive CAD. Correlation between the CT-BCIS-JS and iBCIS-JS was searched for using Spearman's coefficient, and agreement with weighted Kappa (κ) analyses. RESULTS A total of 122 patients were included. There were 102 men and 20 women with a median age of 62 years (Q1, Q3: 54, 68; age range: 19-83 years). No differences in median CT-BCIS-JS (4; Q1, Q3: 0, 8) and median iBCIS-JS (4; Q1, Q3: 0, 8) were found (P = 0.18). Extensive CAD was identified in 53 (43.4%) and 52 (42.6%) patients using CT-BCIS-JS and iBCIS-JS, respectively (P = 0.88). CT-based and iBCIS-JS showed excellent correlation (r = 0.98; P < 0.001) and almost perfect agreement (κ = 0.93; 95% confidence interval: 0.90-0.97). Agreement for identification of an iBCIS-JS ≥ 6 was almost perfect (κ = 0.94; 95 % confidence interval: 0.87-0.99). CONCLUSION The CT-BCIS-JS represents a feasible, and accurate method for quantification of CAD, with capabilities not different from those of iBCIS-JS. It enables simple, non-invasive identification of patients with anatomically extensive CAD.
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Affiliation(s)
- Jan A Schaab
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Alessandro Candreva
- Department of Cardiology, University Heart Center, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Susanne Markendorf
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Dominik Sager
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland; Department of Cardiology, University Heart Center, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland; Department of Cardiology, University Heart Center, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Barbara E Stähli
- Department of Cardiology, University Heart Center, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, CH-8091 Zurich, Switzerland.
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8
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Sager DF, Manz N, Manser S, Laubscher L, Stark AW, Schütze J, Heiniger PS, Markendorf S, Kaufmann PA, Gräni C, Buechel RR. Reproducibility of Left Ventricular Function Derived From Cardiac Magnetic Resonance and Gated 13N-Ammonia Positron Emission Tomography Myocardial Perfusion Imaging: A Head-to-Head Comparison Using Hybrid Positron Emission Tomography/Magnetic Resonance. Acad Radiol 2024; 31:1248-1255. [PMID: 37940426 DOI: 10.1016/j.acra.2023.10.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/04/2023] [Accepted: 10/13/2023] [Indexed: 11/10/2023]
Abstract
RATIONALE AND OBJECTIVES Cardiac magnetic resonance (CMR) and gated 13N-ammonia positron emission tomography myocardial perfusion imaging (PET-MPI) offer accurate and highly comparable global left ventricular ejection fraction (LVEF) measurements. In addition to accuracy, however, reproducibility is crucial to avoid variations in LVEF assessment potentially negatively impacting treatment decisions. We performed a head-to-head comparison of the reproducibility of LVEF measurements derived from simultaneously acquired CMR and PET-MPI using different state-of-the-art commercially available software. MATERIALS AND METHODS 93 patients undergoing hybrid PET/MR were retrospectively included. LVEF was derived from CMR and PET-MPI at two separate core labs, using two state-of-the-art software packages for CMR (cvi42 and Medis Suite MR) and PET (QPET and CardIQ Physio). Intra- and inter-reader agreement was assessed using correlation and Bland-Altman (BA) analyses. RESULTS While intra- and inter-reader reproducibility of LVEF was high among both modalities and all software packages (r ≥ 0.87 and ICC≥0.91, all significant at p < 0.0001), LVEF derived from PET-MPI and analyzed with QPET outperformed all other analyses (intra-reader reproducibility: r = 0.99, ICC=0.99; inter-reader reproducibility: r = 0.98, ICC=1.00; Pearson correlations significantly higher than all others at p ≤ 0.0001). BA analyses showed smaller biases for LVEF derived from PET-MPI (-0.1% and +0.9% for intra-reader, -0.4% and -0.8% for inter-reader agreement) than those derived from CMR (+0.7% and +2.8% for intra-reader, -0.9% and -2.2% for inter-reader agreement) with similar results for BA limits of agreement. CONCLUSION Gated 13N-ammonia PET-MPI provides equivalent reproducibility of LVEF compared to CMR. It may offer a valid alternative to CMR for patients requiring LV functional assessment.
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Affiliation(s)
- Dominik F Sager
- Department of Nuclear Medicine, Cardiac Imaging , University Hospital of Zurich, Ramistrasse 100, CH-8091 Zurich, Switzerland (D.F.S., P.S.H., S.M., P.A.K., R.R.B.)
| | - Nico Manz
- Faculty of Medicine, University of Bern, Murtenstrasse 11, CH-3008 Bern, Switzerland (N.M., S.M.)
| | - Sarah Manser
- Faculty of Medicine, University of Bern, Murtenstrasse 11, CH-3008 Bern, Switzerland (N.M., S.M.)
| | - Lily Laubscher
- Department of Health Science and Technology, ETH Zurich, Ramistrasse 101, CH-8092 Zurich, Switzerland (L.L.)
| | - Anselm W Stark
- Department of Cardiology, University Hospital of Bern, Freiburgstrasse 15, CH-3010 Bern, Switzerland (A.W.S., J.S., C.G
| | - Jonathan Schütze
- Department of Cardiology, University Hospital of Bern, Freiburgstrasse 15, CH-3010 Bern, Switzerland (A.W.S., J.S., C.G
| | - Pascal S Heiniger
- Department of Nuclear Medicine, Cardiac Imaging , University Hospital of Zurich, Ramistrasse 100, CH-8091 Zurich, Switzerland (D.F.S., P.S.H., S.M., P.A.K., R.R.B.)
| | - Susanne Markendorf
- Department of Nuclear Medicine, Cardiac Imaging , University Hospital of Zurich, Ramistrasse 100, CH-8091 Zurich, Switzerland (D.F.S., P.S.H., S.M., P.A.K., R.R.B.)
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging , University Hospital of Zurich, Ramistrasse 100, CH-8091 Zurich, Switzerland (D.F.S., P.S.H., S.M., P.A.K., R.R.B.)
| | - Christoph Gräni
- Department of Cardiology, University Hospital of Bern, Freiburgstrasse 15, CH-3010 Bern, Switzerland (A.W.S., J.S., C.G
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging , University Hospital of Zurich, Ramistrasse 100, CH-8091 Zurich, Switzerland (D.F.S., P.S.H., S.M., P.A.K., R.R.B.).
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9
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Mohamed M, Bosserdt M, Wieske V, Dubourg B, Alkadhi H, Garcia MJ, Leschka S, Zimmermann E, Shabestari AA, Nørgaard BL, Meijs MFL, Øvrehus KA, Diederichsen ACP, Knuuti J, Halvorsen BA, Mendoza-Rodriguez V, Wan YL, Bettencourt N, Martuscelli E, Buechel RR, Mickley H, Sun K, Muraglia S, Kaufmann PA, Herzog BA, Tardif JC, Schütz GM, Laule M, Newby DE, Achenbach S, Budoff M, Haase R, Biavati F, Mézquita AV, Schlattmann P, Dewey M. Combination of computed tomography angiography with coronary artery calcium score for improved diagnosis of coronary artery disease: a collaborative meta-analysis of stable chest pain patients referred for invasive coronary angiography. Eur Radiol 2024; 34:2426-2436. [PMID: 37831139 PMCID: PMC10957619 DOI: 10.1007/s00330-023-10223-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/29/2023] [Accepted: 07/30/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVES Coronary computed tomography angiography (CCTA) has higher diagnostic accuracy than coronary artery calcium (CAC) score for detecting obstructive coronary artery disease (CAD) in patients with stable chest pain, while the added diagnostic value of combining CCTA with CAC is unknown. We investigated whether combining coronary CCTA with CAC score can improve the diagnosis of obstructive CAD compared with CCTA alone. METHODS A total of 2315 patients (858 women, 37%) aged 61.1 ± 10.2 from 29 original studies were included to build two CAD prediction models based on either CCTA alone or CCTA combined with the CAC score. CAD was defined as at least 50% coronary diameter stenosis on invasive coronary angiography. Models were built by using generalized linear mixed-effects models with a random intercept set for the original study. The two CAD prediction models were compared by the likelihood ratio test, while their diagnostic performance was compared using the area under the receiver-operating-characteristic curve (AUC). Net benefit (benefit of true positive versus harm of false positive) was assessed by decision curve analysis. RESULTS CAD prevalence was 43.5% (1007/2315). Combining CCTA with CAC improved CAD diagnosis compared with CCTA alone (AUC: 87% [95% CI: 86 to 89%] vs. 80% [95% CI: 78 to 82%]; p < 0.001), likelihood ratio test 236.3, df: 1, p < 0.001, showing a higher net benefit across almost all threshold probabilities. CONCLUSION Adding the CAC score to CCTA findings in patients with stable chest pain improves the diagnostic performance in detecting CAD and the net benefit compared with CCTA alone. CLINICAL RELEVANCE STATEMENT CAC scoring CT performed before coronary CTA and included in the diagnostic model can improve obstructive CAD diagnosis, especially when CCTA is non-diagnostic. KEY POINTS • The combination of coronary artery calcium with coronary computed tomography angiography showed significantly higher AUC (87%, 95% confidence interval [CI]: 86 to 89%) for diagnosis of coronary artery disease compared to coronary computed tomography angiography alone (80%, 95% CI: 78 to 82%, p < 0.001). • Diagnostic improvement was mostly seen in patients with non-diagnostic C. • The improvement in diagnostic performance and the net benefit was consistent across age groups, chest pain types, and genders.
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Affiliation(s)
- Mahmoud Mohamed
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Maria Bosserdt
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Benjamin Dubourg
- Radiology Department, Clinique Saint Augustin, 112-114 avenue d'Arès, 33000, Bordeaux, France
| | - Hatem Alkadhi
- Diagnostic and Interventional, Radiology University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Mario J Garcia
- Department of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, New York City, NY, USA
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Abbas A Shabestari
- Department of Radiology, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus Universtity Hospital, Aarhus, Denmark
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | | | | | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | | | | | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, 333, Taoyuan City, Taiwan
| | - Nuno Bettencourt
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal
| | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Kai Sun
- Department of Radiology, Baotou Central Hospital, Inner Mongolia Province, Baotou, China
| | | | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | | | | | - Georg M Schütz
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Laule
- Department of Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Matthew Budoff
- Department of Cardiology, Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - Robert Haase
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Federico Biavati
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Berlin Institute of Health, 10117, Berlin, Germany.
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10
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Smit JM, Rocchiccioli S, Signore G, Michelucci E, Di Giorgi N, van Rosendael AR, El Mahdiui M, Neglia D, Knuuti J, Saraste A, Buechel RR, Teresinska A, Pizzi MN, Roque A, Poddighe R, Mertens BJ, Caselli C, Parodi O, Pelosi G, Scholte AJ. Plasma Lipidomics and Coronary Plaque Changes: A Substudy of the SMARTool Clinical Trial. Eur Heart J Cardiovasc Imaging 2024:jeae058. [PMID: 38445505 DOI: 10.1093/ehjci/jeae058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/09/2024] [Accepted: 01/25/2024] [Indexed: 03/07/2024] Open
Abstract
AIMS To date, no studies have investigated the association between lipid species and coronary plaque changes over time, quantitatively assessed by serial imaging. We aimed to prospectively determine the association between lipid species quantified by plasma lipidomic analysis, with coronary plaque changes according to composition assessed by quantitative serial analysis of coronary computed tomography angiography (CTA). METHODS AND RESULTS Patients with suspected coronary artery disease (CAD) undergoing baseline coronary CTA were prospectively enrolled by 7 EU Centers in the SMARTool study and submitted to clinical, molecular and coronary CTA re-evaluation at follow-up (interscan period 6.39 ± 1.17 years). From the 202 patients that were analysed in the SMARTool main clinical study, lipidomic analysis was performed in 154 patients before the baseline coronary CTA, and this group was included in the present study. Quantitative CTA analysis was performed by a separate core laboratory blinded from clinical data. In univariable analysis, no lipid species were significantly associated with annual total and calcified plaque changes. After adjusting for clinical variables at baseline and statin use, 3 lipid species were significantly associated with non-calcified plaque progression. In detail, cholesteryl ester (CE)(20:3), sphingomyelin (SM)(40:3) and SM(41:1) were found positively related to non-calcified plaque progression (Bonferroni adjusted P-value = 0.005, 0.016 and 0.004, respectively). CONCLUSION The current study showed an independent relationship between specific lipid species determined by plasma lipidomic analysis, and non-calcified coronary plaque progression assessed by serial, quantitative coronary CTA analysis.
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Affiliation(s)
- Jeff M Smit
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Silvia Rocchiccioli
- Institute of Clinical Physiology CNR, Pisa, Viale Giuseppe Moruzzi 1 56124, Italy
| | - Giovanni Signore
- Department of Biology, Biochemistry Unit, University of Pisa, 56126, Pisa, Italy
| | - Elena Michelucci
- Institute of Clinical Physiology CNR, Pisa, Viale Giuseppe Moruzzi 1 56124, Italy
| | - Nicoletta Di Giorgi
- Institute of Clinical Physiology CNR, Pisa, Viale Giuseppe Moruzzi 1 56124, Italy
| | | | - Mohammed El Mahdiui
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Danilo Neglia
- Fondazione Toscana Gabriele Monasterio, Pisa, Viale Giuseppe Moruzzi 1 56124, Italy
| | - Juhani Knuuti
- Heart Center and PET Centre, Turku University Hospital and University of Turku, 20520, Turku, Finland
| | - Antti Saraste
- Heart Center and PET Centre, Turku University Hospital and University of Turku, 20520, Turku, Finland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University of Zurich, Switzerland
| | - Anna Teresinska
- Department of Nuclear Medicine, National Institute of Cardiology, Warsaw, Poland
| | - Maria N Pizzi
- Department of Cardiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Albert Roque
- Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | | | - Bart J Mertens
- Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Chiara Caselli
- Institute of Clinical Physiology CNR, Pisa, Viale Giuseppe Moruzzi 1 56124, Italy
| | - Oberdan Parodi
- Cardiovascular Department, Fondazione Toscana G. Monasterio, Via G. Moruzzi 1, Pisa, Italy
| | - Gualtiero Pelosi
- Institute of Clinical Physiology CNR, Pisa, Viale Giuseppe Moruzzi 1 56124, Italy
| | - Arthur J Scholte
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
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11
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Kovacs B, Giannopoulos AA, Bogun F, Pazhenkottil AP, Bonetti NR, Manka R, Medeiros-Domingo A, Gruner C, Schmidt D, Flammer AJ, Ruschitzka F, Duru F, Kaufmann PA, Buechel RR, Saguner AM. Sustained Ventricular Tachyarrhythmias are Associated With Increased 18F-Fluorodeoxyglucose Uptake Mimicking Cardiac Sarcoidosis. Circ Cardiovasc Imaging 2024; 17:e016316. [PMID: 38456290 DOI: 10.1161/circimaging.123.016316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Affiliation(s)
- Boldizsar Kovacs
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor (B.K., F.B.)
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland (A.A.G., A.P.P., P.A.K., R.R.B.)
| | - Frank Bogun
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor (B.K., F.B.)
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland (A.A.G., A.P.P., P.A.K., R.R.B.)
| | - Nicole R Bonetti
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
| | - Robert Manka
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Institute of Diagnostic and Interventional Radiology (R.M.), University Hospital Zurich, Switzerland
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland (R.M.)
| | - Argelia Medeiros-Domingo
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
- Swiss DNAlysis, Dübendorf, Switzerland (A.M.-D.)
| | - Christiane Gruner
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
| | - Dörthe Schmidt
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
| | - Andreas J Flammer
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
| | - Frank Ruschitzka
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
- Center for Integrative Human Physiology (F.R., F.D.), University Zurich, Switzerland
| | - Firat Duru
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
- Center for Translational and Experimental Cardiology (CTEC) (B.K., N.R.B., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Zurich, Switzerland
- Center for Integrative Human Physiology (F.R., F.D.), University Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland (A.A.G., A.P.P., P.A.K., R.R.B.)
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland (A.A.G., A.P.P., P.A.K., R.R.B.)
| | - Ardan M Saguner
- Department of Cardiology, University Heart Center (B.K., N.R.B., R.M., C.G., D.S., A.J.F., F.R., F.D., A.M.S.), University Hospital Zurich, Switzerland
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12
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von Känel R, Princip M, Holzgang SA, Garefa C, Rossi A, Benz DC, Giannopoulos AA, Kaufmann PA, Buechel RR, Zuccarella-Hackl C, Pazhenkottil AP. Correction: Coronary microvascular function in male physicians with burnout and job stress: an observational study. BMC Med 2024; 22:71. [PMID: 38365651 PMCID: PMC10873929 DOI: 10.1186/s12916-024-03290-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/18/2024] Open
Affiliation(s)
- Roland von Känel
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland.
| | - Mary Princip
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
| | - Sarah A Holzgang
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
| | - Chrysoula Garefa
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexia Rossi
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Dominik C Benz
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Claudia Zuccarella-Hackl
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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13
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Besson FL, Treglia G, Bucerius J, Anagnostopoulos C, Buechel RR, Dweck MR, Erba PA, Gaemperli O, Gimelli A, Gheysens O, Glaudemans AWJM, Habib G, Hyafil F, Lubberink M, Rischpler C, Saraste A, Slart RHJA. A systematic review for the evidence of recommendations and guidelines in hybrid nuclear cardiovascular imaging. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06597-x. [PMID: 38221570 DOI: 10.1007/s00259-024-06597-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 01/01/2024] [Indexed: 01/16/2024]
Abstract
OBJECTIVES This study aimed to evaluate the level of evidence of expert recommendations and guidelines for clinical indications and procedurals in hybrid nuclear cardiovascular imaging. METHODS From inception to August 2023, a PubMed literature analysis of the latest version of guidelines for clinical hybrid cardiovascular imaging techniques including SPECT(/CT), PET(/CT), and PET(/MRI) was performed in two categories: (1) for clinical indications for all-in primary diagnosis; subgroup in prognosis and therapy evaluation; and for (2) imaging procedurals. We surveyed to what degree these followed a standard methodology to collect the data and provide levels of evidence, and for which topic systematic review evidence was executed. RESULTS A total of 76 guidelines, published between 2013 and 2023, were included. The evidence of guidelines was based on systematic reviews in 7.9% of cases, non-systematic reviews in 47.4% of cases, a mix of systematic and non-systematic reviews in 19.7%, and 25% of guidelines did not report any evidence. Search strategy was reported in 36.8% of cases. Strengths of recommendation were clearly reported in 25% of guidelines. The notion of external review was explicitly reported in 23.7% of cases. Finally, the support of a methodologist was reported in 11.8% of the included guidelines. CONCLUSION The use of evidence procedures for developing for evidence-based cardiovascular hybrid imaging recommendations and guidelines is currently suboptimal, highlighting the need for more standardized methodological procedures.
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Affiliation(s)
- Florent L Besson
- Department of Nuclear Medicine-Molecular Imaging, DMU SMART IMAGING, Hôpitaux Universitaires Paris-Saclay, AP-HP, CHU Bicêtre, Le Kremlin Bicetre, France
- School of Medicine, Université Paris-Saclay, Le Kremlin-Bicetre, France
- Commissariat À L'énergie Atomique Et Aux Énergies Alternatives (CEA), Centre National de La Recherche Scientifique (CNRS), Inserm, BioMaps, Université Paris-Saclay, Le Kremlin-Bicetre, France
| | - Giorgio Treglia
- Division of Nuclear Medicine, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6501, Bellinzona, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6900, Lugano, Switzerland
| | - Jan Bucerius
- Department of Nuclear Medicine, Georg-August University Göttingen, Universitätsmedizin Göttingen, Gottingen, Germany
| | | | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh Heart Centre, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, UK
| | - Paula A Erba
- Department of Medicine and Surgery, University of Milan Bicocca, and Nuclear Medicine Unit ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | | | | | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200, Brussels, Belgium
| | - Andor W J M Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gilbert Habib
- Department of Cardiology, APHM, La Timone Hospital, Marseille, France
| | - Fabian Hyafil
- Department of Nuclear Medicine, DMU IMAGINA, Georges-Pompidou European Hospital, Assistance Publique - Hôpitaux de Paris, F75015, Paris, France
| | - Mark Lubberink
- Medical Imaging Centre, Uppsala University Hospital, Uppsala, Sweden
| | | | - Antti Saraste
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Riemer H J A Slart
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
- Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, Enschede, the Netherlands.
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14
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van Rosendael AR, Crabtree T, Bax JJ, Nakanishi R, Mushtaq S, Pontone G, Andreini D, Buechel RR, Gräni C, Feuchtner G, Patel TR, Choi AD, Al-Mallah M, Nabi F, Karlsberg RP, Rochitte CE, Alasnag M, Hamdan A, Cademartiri F, Marques H, Kalra D, German DM, Gupta H, Hadamitzky M, Deaño RC, Khalique O, Knaapen P, Hoffmann U, Earls J, Min JK, Danad I. Rationale and design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) study. J Cardiovasc Comput Tomogr 2024; 18:11-17. [PMID: 37951725 PMCID: PMC10923095 DOI: 10.1016/j.jcct.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/28/2023] [Accepted: 10/08/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND In the last 15 years, large registries and several randomized clinical trials have demonstrated the diagnostic and prognostic value of coronary computed tomography angiography (CCTA). Advances in CT scanner technology and developments of analytic tools now enable accurate quantification of coronary artery disease (CAD), including total coronary plaque volume and low attenuation plaque volume. The primary aim of CONFIRM2, (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) is to perform comprehensive quantification of CCTA findings, including coronary, non-coronary cardiac, non-cardiac vascular, non-cardiac findings, and relate them to clinical variables and cardiovascular clinical outcomes. DESIGN CONFIRM2 is a multicenter, international observational cohort study designed to evaluate multidimensional associations between quantitative phenotype of cardiovascular disease and future adverse clinical outcomes in subjects undergoing clinically indicated CCTA. The targeted population is heterogenous and includes patients undergoing CCTA for atherosclerotic evaluation, valvular heart disease, congenital heart disease or pre-procedural evaluation. Automated software will be utilized for quantification of coronary plaque, stenosis, vascular morphology and cardiac structures for rapid and reproducible tissue characterization. Up to 30,000 patients will be included from up to 50 international multi-continental clinical CCTA sites and followed for 3-4 years. SUMMARY CONFIRM2 is one of the largest CCTA studies to establish the clinical value of a multiparametric approach to quantify the phenotype of cardiovascular disease by CCTA using automated imaging solutions.
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Affiliation(s)
| | | | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rine Nakanishi
- Department of Cardiovascular Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Gianluca Pontone
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Daniele Andreini
- Division of University Cardiology, IRCCS Galeazzi Sant'Ambrogio, Department of Biomedical and Clinical Sciences, University of Milan, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University of Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Gudrun Feuchtner
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Toral R Patel
- Cardiology at Stroobants Heart and Vascular Institute and UVA Cardiology, Lynchburg, VA, United States of America
| | - Andrew D Choi
- Cardiology and Radiology, George Washington University, Washington, DC, United States of America
| | - Mouaz Al-Mallah
- Department of Cardiology, Houston Methodist, Houston, TX, United States of America
| | - Faisal Nabi
- Department of Cardiology, Houston Methodist, Houston, TX, United States of America
| | - Ronald P Karlsberg
- Cardiovascular Research Foundation of Southern California, Cedars Sinai Heart Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Carlos E Rochitte
- Heart Institute, InCor, University of São Paulo Medical School, São Paulo, Brazil
| | - Mirvat Alasnag
- Cardiac Center, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia
| | - Ashraf Hamdan
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
| | - Filippo Cademartiri
- Department of Imaging, Fondazione Monasterio/CNR, Pisa, Italy & SYNLAB IRCCS SDN, Naples, Italy
| | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa and Católica Medical School, Portugal
| | - Dinesh Kalra
- Division of Cardiology, Department of Medicine, University of Louisville School of Medicine, Louisville, KY, United States of America
| | - David M German
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States of America
| | - Himanshu Gupta
- Cardiac Imaging, Heart and Vascular Institute, Valley Health System, Ridgewood, NJ, United States of America
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Roderick C Deaño
- Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Omar Khalique
- Division of Cardiovascular Imaging, St. Francis Hospital & Heart Center, Roslyn, NY, United States of America
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Center, Location VUMC, Amsterdam, The Netherlands
| | - Udo Hoffmann
- Cleerly, Inc, Denver, CO, United States of America
| | - James Earls
- Cleerly, Inc, Denver, CO, United States of America
| | - James K Min
- Cleerly, Inc, Denver, CO, United States of America
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam University Medical Center, Location VUMC, Amsterdam, The Netherlands; Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
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15
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Gebhard CE, Sütsch C, Gebert P, Gysi B, Bengs S, Todorov A, Deforth M, Buehler PK, Meisel A, Schuepbach RA, Zinkernagel AS, Brugger SD, Acevedo C, Patriki D, Wiggli B, Beer JH, Friedl A, Twerenbold R, Kuster GM, Pargger H, Tschudin-Sutter S, Schefold JC, Spinetti T, Henze C, Pasqualini M, Sager DF, Mayrhofer L, Grieder M, Tontsch J, Franzeck FC, Wendel Garcia PD, Hofmaenner DA, Scheier T, Bartussek J, Haider A, Grämer M, Mikail N, Rossi A, Zellweger N, Opić P, Portmann A, von Känel R, Pazhenkottil AP, Messerli M, Buechel RR, Kaufmann PA, Treyer V, Siegemund M, Held U, Regitz-Zagrosek V, Gebhard C. Impact of sex and gender on post-COVID-19 syndrome, Switzerland, 2020. Euro Surveill 2024; 29:2300200. [PMID: 38214079 PMCID: PMC10785203 DOI: 10.2807/1560-7917.es.2024.29.2.2300200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 10/04/2023] [Indexed: 01/13/2024] Open
Abstract
BackgroundWomen are overrepresented among individuals with post-acute sequelae of SARS-CoV-2 infection (PASC). Biological (sex) as well as sociocultural (gender) differences between women and men might account for this imbalance, yet their impact on PASC is unknown.AimWe assessed the impact of sex and gender on PASC in a Swiss population.MethodOur multicentre prospective cohort study included 2,856 (46% women, mean age 44.2 ± 16.8 years) outpatients and hospitalised patients with PCR-confirmed SARS-CoV-2 infection.ResultsAmong those who remained outpatients during their first infection, women reported persisting symptoms more often than men (40.5% vs 25.5% of men; p < 0.001). This sex difference was absent in hospitalised patients. In a crude analysis, both female biological sex (RR = 1.59; 95% CI: 1.41-1.79; p < 0.001) and a score summarising gendered sociocultural variables (RR = 1.05; 95% CI: 1.03-1.07; p < 0.001) were significantly associated with PASC. Following multivariable adjustment, biological female sex (RR = 0.96; 95% CI: 0.74-1.25; p = 0.763) was outperformed by feminine gender-related factors such as a higher stress level (RR = 1.04; 95% CI: 1.01-1.06; p = 0.003), lower education (RR = 1.16; 95% CI: 1.03-1.30; p = 0.011), being female and living alone (RR = 1.91; 95% CI: 1.29-2.83; p = 0.001) or being male and earning the highest income in the household (RR = 0.76; 95% CI: 0.60-0.97; p = 0.030).ConclusionSpecific sociocultural parameters that differ in prevalence between women and men, or imply a unique risk for women, are predictors of PASC and may explain, at least in part, the higher incidence of PASC in women. Once patients are hospitalised during acute infection, sex differences in PASC are no longer evident.
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Affiliation(s)
- Caroline E Gebhard
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
- These authors contributed equally
| | - Claudia Sütsch
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- These authors contributed equally
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Pimrapat Gebert
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Bianca Gysi
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Atanas Todorov
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Manja Deforth
- Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Philipp K Buehler
- Institute of Intensive Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexander Meisel
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Reto A Schuepbach
- Institute of Intensive Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Annelies S Zinkernagel
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Silvio D Brugger
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Claudio Acevedo
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Benedikt Wiggli
- Department of Internal Medicine, Cantonal Hospital of Baden, Baden, Switzerland
| | - Jürg H Beer
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
- Department of Internal Medicine, Cantonal Hospital of Baden, Baden, Switzerland
| | - Andrée Friedl
- Department of Internal Medicine, Cantonal Hospital of Baden, Baden, Switzerland
| | - Raphael Twerenbold
- Department of Cardiology, University Hospital Basel, Basel, Switzerland
- Department of Cardiology and University Center of Cardiovascular Science, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Gabriela M Kuster
- Department of Cardiology, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Hans Pargger
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sarah Tschudin-Sutter
- Division of Infectious Diseases and Hospital Epidemiology, University of Basel, Basel, Switzerland
| | - Joerg C Schefold
- Department of Intensive Care Medicine, Inselspital Bern University Hospital, University of Bern, Bern, Switzerland
| | - Thibaud Spinetti
- Department of Intensive Care Medicine, Inselspital Bern University Hospital, University of Bern, Bern, Switzerland
| | - Chiara Henze
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Mina Pasqualini
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Dominik F Sager
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Lilian Mayrhofer
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Mirjam Grieder
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Janna Tontsch
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Fabian C Franzeck
- Department of Informatics, University Hospital Basel, Basel, Switzerland
| | - Pedro D Wendel Garcia
- Institute of Intensive Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Daniel A Hofmaenner
- Institute of Intensive Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Scheier
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jan Bartussek
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Institute of Intensive Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ahmed Haider
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, and Department of Radiology, Harvard Medical School, Boston, Massachusetts, United States
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Muriel Grämer
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Núria Zellweger
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Petra Opić
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Roland von Känel
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Martin Siegemund
- Intensive Care Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ulrike Held
- Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Vera Regitz-Zagrosek
- Institute of Gender in Medicine (GiM), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
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16
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von Känel R, Princip M, Holzgang SA, Garefa C, Rossi A, Benz DC, Giannopoulos AA, Kaufmann PA, Buechel RR, Zuccarella-Hackl C, Pazhenkottil AP. Coronary microvascular function in male physicians with burnout and job stress: an observational study. BMC Med 2023; 21:477. [PMID: 38041159 PMCID: PMC10693019 DOI: 10.1186/s12916-023-03192-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/22/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND As a professional group, physicians are at increased risk of burnout and job stress, both of which are associated with an increased risk of coronary heart disease that is at least as high as that of other professionals. This study aimed to examine the association of burnout and job stress with coronary microvascular function, a predictor of major adverse cardiovascular events. METHODS Thirty male physicians with clinical burnout and 30 controls without burnout were included. Burnout was assessed with the Maslach Burnout Inventory and job stress with the effort-reward imbalance and overcommitment questionnaire. All participants underwent myocardial perfusion positron emission tomography to quantify endothelium-dependent (cold pressor test) and endothelium-independent (adenosine challenge) coronary microvascular function. Burnout and job stress were regressed on coronary flow reserve (primary outcome) and two additional measures of coronary microvascular function in the same model while adjusting for age and body mass index. RESULTS Burnout and job stress were significantly and independently associated with endothelium-dependent microvascular function. Burnout was positively associated with coronary flow reserve, myocardial blood flow response, and hyperemic myocardial blood flow (r partial = 0.28 to 0.35; p-value = 0.008 to 0.035). Effort-reward ratio (r partial = - 0.32 to - 0.38; p-value = 0.004 to 0.015) and overcommitment (r partial = - 0.30 to - 0.37; p-value = 0.005 to 0.022) showed inverse associations with these measures. CONCLUSIONS In male physicians, burnout and high job stress showed opposite associations with coronary microvascular endothelial function. Longitudinal studies are needed to show potential clinical implications and temporal relationships between work-related variables and coronary microvascular function. Future studies should include burnout and job stress for a more nuanced understanding of their potential role in cardiovascular health.
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Affiliation(s)
- Roland von Känel
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland.
| | - Mary Princip
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
| | - Sarah A Holzgang
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
| | - Chrysoula Garefa
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexia Rossi
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Dominik C Benz
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Claudia Zuccarella-Hackl
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Culmannstrasse 8, CH-8091, Zurich, Switzerland
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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17
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Frischknecht L, Schaab J, Schmauch E, Yalamanoglu A, Arnold DD, Schwaiger J, Gruner C, Buechel RR, Franzen DP, Kolios AG, Nilsson J. Assessment of treatment response in cardiac sarcoidosis based on myocardial 18F-FDG uptake. Front Immunol 2023; 14:1286684. [PMID: 38077350 PMCID: PMC10704456 DOI: 10.3389/fimmu.2023.1286684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023] Open
Abstract
Objective Immunosuppressive therapy for cardiac sarcoidosis (CS) still largely consists of corticosteroid monotherapy. However, high relapse rates after tapering and insufficient efficacy are significant problems. The objective of this study was to investigate the efficacy and safety of non-biological and biological disease-modifying anti-rheumatic drugs (nb/bDMARDs) considering control of myocardial inflammation assessed by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) of the heart. Methods We conducted a retrospective analysis of treatment response to nb/bDMARDs of all CS patients seen in the sarcoidosis center of the University Hospital Zurich between January 2016 and December 2020. Results We identified 50 patients with CS. Forty-five patients with at least one follow-up PET/CT scan were followed up for a mean of 20.5 ± 12.8 months. Most of the patients were treated with prednisone and concomitant nb/bDMARDs. At the first follow-up PET/CT scan after approximately 6.7 ± 3 months, only adalimumab showed a significant reduction in cardiac metabolic activity. Furthermore, comparing all serial follow-up PET/CT scans (143), tumor necrosis factor inhibitor (TNFi)-based therapies showed statistically significant better suppression of myocardial 18F-FDG uptake compared to other treatment regimens. On the last follow-up, most adalimumab-treated patients were inactive (n = 15, 48%) or remitting (n = 11, 35%), and only five patients (16%) were progressive. TNFi was safe even in patients with severely reduced left ventricular ejection fraction (LVEF), and a significant improvement in LVEF under TNFi treatment was observed. Conclusion TNFi shows better control of myocardial inflammation compared to nbDMARDs and corticosteroid monotherapies in patients with CS. TNFi was efficient and safe even in patients with severely reduced LVEF.
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Affiliation(s)
- Lukas Frischknecht
- Department of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Jan Schaab
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Eloi Schmauch
- Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Artturi Ilmari (A.I) Virtanen Institute, University of Eastern Finland, Kuopio, Finland
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Ayla Yalamanoglu
- Department of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Dennis D. Arnold
- Department of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland
| | - Judith Schwaiger
- Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Christiane Gruner
- Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Ronny R. Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Daniel P. Franzen
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland
| | - Antonios G.A. Kolios
- Department of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland
- Department of Dermatology, University Hospital Zurich, Zurich, Switzerland
| | - Jakob Nilsson
- Department of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland
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18
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von Känel R, Princip M, Holzgang SA, Rossi A, Giannopoulos AA, Buechel RR, Zuccarella-Hackl C, Pazhenkottil AP. Association between global sleep quality and coronary microvascular function in male physicians with occupational burnout. Psychosom Med 2023:00006842-990000000-00175. [PMID: 37982536 DOI: 10.1097/psy.0000000000001269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
OBJECTIVE Occupational burnout has been associated with an increased risk of coronary heart disease, although the mechanisms involved are elusive. We investigated whether poor global sleep quality is associated with impaired coronary microvascular function in male physicians, a professional group at increased risk for burnout. METHODS Study participants were 30 male physicians with clinical burnout and 30 controls without burnout defined by the Maslach Burnout Inventory. Global sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI). Endothelium-dependent (cold pressor test) and endothelium-independent (adenosine challenge) coronary microvascular function were quantified with myocardial perfusion positron emission tomography. In multivariable analyses, the interaction between burnout and the PSQI global score was regressed on measures of coronary microvascular function, adjusting for age, body mass index, physical activity, alcohol consumption, and main effects of burnout and PSQI score. RESULTS The prevalence of poor sleepers (PSQI score > 5) was 40% in the burnout group and 10% in the control group. Adjusting for covariates, burnout-by-global PSQI score interactions were observed for myocardial blood flow (MBF) at rest (r partial = -.30, p = .025), endothelium-dependent coronary flow reserve (r partial = -.26, p = .062), MBF response (r partial = -.30, p = .028), and hyperemic MBF (r partial = -.34, p = -.012). The global PSQI score was inversely associated with these MBF measures in the burnout group relative to the control group. No significant interactions emerged for endothelium-independent MBF. CONCLUSIONS In male physicians with occupational burnout, poor global sleep quality was associated with reduced endothelium-dependent coronary microvascular function, suggesting a mechanism by which burnout may affect cardiovascular health.
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Affiliation(s)
- Roland von Känel
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Mary Princip
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Sarah A Holzgang
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexia Rossi
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Claudia Zuccarella-Hackl
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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19
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Lindner O, Hacker M, Burchert W, Buechel RR. SPECT and PET myocardial perfusion imaging in Austria, Germany, and Switzerland results of the first joint survey of 2021. Eur J Nucl Med Mol Imaging 2023; 50:3602-3608. [PMID: 37452873 PMCID: PMC10547620 DOI: 10.1007/s00259-023-06336-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE This paper presents the results of the first joint survey on the use of SPECT and PET myocardial perfusion imaging (MPI) and cardiac amyloidosis imaging in Austria, Germany, and Switzerland of the year 2021. METHODS A questionnaire was sent in 2022 to centres practicing nuclear medicine. RESULTS Data from 14 Austrian (10,710 SPECT), 218 German (133,047 SPECT), and 16 Swiss centres (11,601 MPI (6,879 SPECT, 4722 PET)) were analysed. In Austria and Germany, the PET MPI numbers were close to zero and not considered. Official MPS numbers from 2015 to 2021 from Austria and Germany revealed a decline in Austria by about 40% in the pandemic years 2020 to 2021, but an increase in Germany by 9%. Ambulatory care cardiologists represented the major referral group (56-71%). Mostly, stress tests were performed pharmacologically (58-92%). Contrary to Germany, a 1-day protocol was predominant (58-97%) in Austria and Switzerland. The leading camera systems were SPECT-CT in Austria and Switzerland (57-79%) and multi-head systems in Germany (58%). Switzerland had the highest proportion of SPECT MPI with attenuation correction (84%), followed by Austria (43%), and Germany (33%). Electrocardiogram-gated SPECT MPI showed an overall high penetration of 87-99%. Scoring was most frequently applied in Germany (72%), followed by Austria (64%), and Switzerland (60%). Related to the population, the number of cardiac amyloidosis imaging was highest in Austria, followed by Switzerland and Germany. CONCLUSIONS This first joint survey of 2021 shows considerable differences among the countries. The Swiss situation is outstanding due to the wide use of PET MPI. In terms of camera equipment, Switzerland is also leading, followed by Austria and Germany. Despite the differences in procedural issues, the results reveal an overall high standard of MPI imaging.
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Affiliation(s)
- O Lindner
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Georgstr. 11, Bad Oeynhausen, Germany.
| | - M Hacker
- Klinische Abteilung für Nuklearmedizin, Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Vienna, Austria
| | - W Burchert
- Institut für Radiologie, Nuklearmedizin und Molekulare Bildgebung, Herz- und Diabeteszentrum NRW, Georgstr. 11, Bad Oeynhausen, Germany
| | - R R Buechel
- Klinik für Nuklearmedizin, Universitätsspital Zürich, Zurich, Switzerland
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20
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Buechel RR, Ciancone D, Bakula A, von Felten E, Schmidt GA, Patriki D, Gräni C, Wahl A, Manka R, Heidecker B, Benz DC, Giannopoulos AA, Pazhenkottil AP, Kaufmann PA. Long-term impact of myocardial inflammation on quantitative myocardial perfusion-a descriptive PET/MR myocarditis study. Eur J Nucl Med Mol Imaging 2023; 50:3609-3618. [PMID: 37391545 PMCID: PMC10547808 DOI: 10.1007/s00259-023-06314-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/17/2023] [Indexed: 07/02/2023]
Abstract
PURPOSE Whether myocardial inflammation causes long-term sequelae potentially affecting myocardial blood flow (MBF) is unknown. We aimed to assess the effect of myocardial inflammation on quantitative MBF parameters, as assessed by 13N-ammonia positron emission tomography myocardial perfusion imaging (PET-MPI) late after myocarditis. METHODS Fifty patients with a history of myocarditis underwent cardiac magnetic resonance (CMR) imaging at diagnosis and PET/MR imaging at follow-up at least 6 months later. Segmental MBF, myocardial flow reserve (MFR), and 13N-ammonia washout were obtained from PET, and segments with reduced 13N-ammonia retention, resembling scar, were recorded. Based on CMR, segments were classified as remote (n = 469), healed (inflammation at baseline but no late gadolinium enhancement [LGE] at follow-up, n = 118), and scarred (LGE at follow-up, n = 72). Additionally, apparently healed segments but with scar at PET were classified as PET discordant (n = 18). RESULTS Compared to remote segments, healed segments showed higher stress MBF (2.71 mL*min-1*g-1 [IQR 2.18-3.08] vs. 2.20 mL*min-1*g-1 [1.75-2.68], p < 0.0001), MFR (3.78 [2.83-4.79] vs. 3.36 [2.60-4.03], p < 0.0001), and washout (rest 0.24/min [0.18-0.31] and stress 0.53/min [0.40-0.67] vs. 0.22/min [0.16-0.27] and 0.46/min [0.32-0.63], p = 0.010 and p = 0.021, respectively). While PET discordant segments did not differ from healed segments regarding MBF and MFR, washout was higher by ~ 30% (p < 0.014). Finally, 10 (20%) patients were diagnosed by PET-MPI as presenting with a myocardial scar but without a corresponding LGE. CONCLUSION In patients with a history of myocarditis, quantitative measurements of myocardial perfusion as obtained from PET-MPI remain altered in areas initially affected by inflammation. CMR = cardiac magnetic resonance; PET = positron emission tomography; LGE = late gadolinium enhancement.
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Affiliation(s)
- Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland.
| | - Domenico Ciancone
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Adam Bakula
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Gian-Andrea Schmidt
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Wahl
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Robert Manka
- Department of Cardiology, University and University Hospital of Zurich, Zurich, Switzerland
- Diagnostic and Interventional Radiology, University and University Hospital Zurich, Zurich, Switzerland
| | - Bettina Heidecker
- Department of Cardiology, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu Berlin, Berlin, Germany
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, NUK A 12, 8091, Zurich, Switzerland
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21
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Giannopoulos AA, Keller L, Sepulcri D, Boehm R, Garefa C, Venugopal P, Mitra J, Ghose S, Deak P, Pack JD, Davis CL, Stähli BE, Stehli J, Pazhenkottil AP, Kaufmann PA, Buechel RR. High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard. AJR Am J Roentgenol 2023; 221:460-470. [PMID: 37132550 DOI: 10.2214/ajr.23.29156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND. Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer with long turnaround times for results. OBJECTIVE. The purpose of this study was to evaluate the diagnostic performance of FFR-CT computed on-site with a high-speed deep learning-based algorithm with invasive hemodynamic indexes as the reference standard. METHODS. This retrospective study included 59 patients (46 men, 13 women; mean age, 66.5 ± 10.2 years) who underwent coronary CTA (including calcium scoring) followed within 90 days by invasive angiography with invasive fractional flow reserve (FFR) and/or instantaneous wave-free ratio measurements from December 2014 to October 2021. Coronary artery lesions were considered to have hemodynamically significant stenosis in the presence of invasive FFR of 0.80 or less and/or instantaneous wave-free ratio of 0.89 or less. A single cardiologist evaluated the CTA images using an on-site deep learning-based semiautomated algorithm entailing a 3D computational flow dynamics model to determine FFR-CT for coronary artery lesions detected with invasive angiography. Time for FFR-CT analysis was recorded. FFR-CT analysis was repeated by the same cardiologist in 26 randomly selected examinations and by a different cardiologist in 45 randomly selected examinations. Diagnostic performance and agreement were assessed. RESULTS. A total of 74 lesions were identified with invasive angiography. FFR-CT and invasive FFR had strong correlation (r = 0.81) and, in Bland-Altman analysis, bias of 0.01 and 95% limits of agreement of -0.13 to 0.15. FFR-CT had AUC for hemodynamically significant stenosis of 0.975. At a cutoff of 0.80 or less, FFR-CT had 95.9% accuracy, 93.5% sensitivity, and 97.7% specificity. In 39 lesions with severe calcifications (≥ 400 Agatston units), FFR-CT had AUC of 0.991 and at a cutoff of 0.80, 94.7% sensitivity, 95.0% specificity, and 94.9% accuracy. Mean analysis time per patient was 7 minutes 54 seconds. Intraobserver agreement (intraclass correlation coefficient, 0.85; bias, -0.01; 95% limits of agreement, -0.12 and 0.10) and interobserver agreement (intraclass correlation coefficient, 0.94; bias, -0.01; 95% limits of agreement, -0.08 and 0.07) were good to excellent. CONCLUSION. A high-speed on-site deep learning-based FFR-CT algorithm had excellent diagnostic performance for hemodynamically significant stenosis with high reproducibility. CLINICAL IMPACT. The algorithm should facilitate implementation of FFR-CT technology into routine clinical practice.
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Affiliation(s)
- Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
| | - Lukas Keller
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
| | - Daniel Sepulcri
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
| | - Reto Boehm
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
| | - Chrysoula Garefa
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
| | | | | | | | | | | | | | - Barbara E Stähli
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Julia Stehli
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich 8091, Switzerland
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22
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Masuda S, Serruys PW, Mushtaq S, Tanaka K, Mandry D, Buechel RR, Digne F, Schneider U, Pompilio G, La Meir M, Doenst T, Teichgraber U, Morel MA, Kotoku N, Ninomiya K, Kageyama S, O'Leary N, Collet C, Garg S, de Mey J, Andreini D, Onuma Y. The ability of computed tomography angiography to predict 5-year mortality in the SYNTAX III REVOLUTION trial. J Cardiovasc Comput Tomogr 2023; 17:318-325. [PMID: 37684158 DOI: 10.1016/j.jcct.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/10/2023] [Accepted: 08/13/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND The feasibility of using coronary computed tomography angiography (CCTA) for long-term prediction of vital prognosis post-revascularization remains unknown. OBJECTIVES To compare the prognostic value of the SYNTAX score II 2020 (SS-2020) derived from invasive coronary angiography (ICA) or CCTA in patients with three-vessel disease and/or left main coronary artery disease undergoing percutaneous or surgical revascularization. METHODS In the SYNTAX III REVOLUTION trial, the probability of death at five years was retrospectively assessed by calculating the SS-2020 using ICA and CCTA. High- and low-risk patients for mortality were categorized according to the median percentages of predicted mortality based on both modalities. The discriminative abilities of the SS-2020 were assessed using Harrell's C statistic. RESULTS The vital status at five years of the 215 patients revascularized percutaneously (64 patients, 29.8%) or surgically (151 patients, 70.2%) was established through national registries. In patients undergoing revascularization, the SS-2020 was possibly helpful in discriminating vital prognosis at 5 years, with similar results seen with ICA and CCTA (C-index with ICA = 0.75, intercept = -0.19, slope = 0.92 and C-index with CCTA = 0.75, intercept = -0.22, slope = 0.99). In high- and low-risk patients, Kaplan-Meier estimates showed significant, and almost identical relative differences in observed mortality, irrespective of imaging modality (ICA: 93.8% vs 78.7%, log-lank P < 0.001; CCTA: 93.7% vs 78.5%, log-lank P < 0.001). CONCLUSIONS The predictive ability of the SS-2020 for five-year all-cause mortality derived from ICA and CCTA was comparable, and could helpfully discriminate vital prognosis in high- and low-risk patients.
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Affiliation(s)
| | | | - Saima Mushtaq
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRRCS, Milan, Italy
| | - Kaoru Tanaka
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Damien Mandry
- Department of Radiology, CHRU Nancy and University of Lorraine, Nancy, France
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Franck Digne
- Hemodynamic Department, Centre Cardiologique du Nord, Saint Denis, France
| | - Ulrich Schneider
- Department of Cardiothoracic Surgery, Friedrich-Schiller-University Jena, University Hospital Jena, Jena, Germany
| | - Giulio Pompilio
- Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino, IRRCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Mark La Meir
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Torsten Doenst
- Department of Cardiothoracic Surgery, Friedrich-Schiller-University Jena, University Hospital Jena, Jena, Germany
| | - Ulf Teichgraber
- Department of Radiology, Friedrich-Schiller-University Jena, University Hospital Jena, Jena, Germany
| | | | - Nozomi Kotoku
- Department of Cardiology, University of Galway, Galway, Ireland
| | - Kai Ninomiya
- Department of Cardiology, University of Galway, Galway, Ireland
| | | | - Neil O'Leary
- Interventional Medicine and Innovation, University of Galway, Galway, Ireland
| | - Carlos Collet
- Onze Lieve Vrouwziekenhuis, Cardiovascular Center Aalst, Aalst, Belgium
| | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, United Kingdom; Department of Medical Education, University of Central Lancashire, Preston, United Kingdom
| | - Johan de Mey
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant'Ambrogio, Milan, Italy; Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Yoshinobu Onuma
- Department of Cardiology, University of Galway, Galway, Ireland
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23
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Mikail N, Chequer R, Imperiale A, Meisel A, Bengs S, Portmann A, Gimelli A, Buechel RR, Gebhard C, Rossi A. Tales from the future-nuclear cardio-oncology, from prediction to diagnosis and monitoring. Eur Heart J Cardiovasc Imaging 2023; 24:1129-1145. [PMID: 37467476 PMCID: PMC10501471 DOI: 10.1093/ehjci/jead168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/07/2023] [Indexed: 07/21/2023] Open
Abstract
Cancer and cardiovascular diseases (CVD) often share common risk factors, and patients with CVD who develop cancer are at high risk of experiencing major adverse cardiovascular events. Additionally, cancer treatment can induce short- and long-term adverse cardiovascular events. Given the improvement in oncological patients' prognosis, the burden in this vulnerable population is slowly shifting towards increased cardiovascular mortality. Consequently, the field of cardio-oncology is steadily expanding, prompting the need for new markers to stratify and monitor the cardiovascular risk in oncological patients before, during, and after the completion of treatment. Advanced non-invasive cardiac imaging has raised great interest in the early detection of CVD and cardiotoxicity in oncological patients. Nuclear medicine has long been a pivotal exam to robustly assess and monitor the cardiac function of patients undergoing potentially cardiotoxic chemotherapies. In addition, recent radiotracers have shown great interest in the early detection of cancer-treatment-related cardiotoxicity. In this review, we summarize the current and emerging nuclear cardiology tools that can help identify cardiotoxicity and assess the cardiovascular risk in patients undergoing cancer treatments and discuss the specific role of nuclear cardiology alongside other non-invasive imaging techniques.
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Affiliation(s)
- Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Renata Chequer
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018 Paris, France
| | - Alessio Imperiale
- Nuclear Medicine, Institut de Cancérologie de Strasbourg Europe (ICANS), University Hospitals of Strasbourg, 67093 Strasbourg, France
- Molecular Imaging-DRHIM, IPHC, UMR 7178, CNRS/Unistra, 67093 Strasbourg, France
| | - Alexander Meisel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Kantonsspital Glarus, Burgstrasse 99, 8750 Glarus, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Alessia Gimelli
- Imaging Department, Fondazione CNR/Regione Toscana Gabriele Monasterio, Via G. Moruzzi 1, 56124 Pisa, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Cathérine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
- Department of Cardiology, University Hospital Inselspital Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
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24
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Prakken NHJ, Besson FL, Borra RJH, Büther F, Buechel RR, Catana C, Chiti A, Dierckx RAJO, Dweck MR, Erba PA, Glaudemans AWJM, Gormsen LC, Hristova I, Koole M, Kwee TC, Mottaghy FM, Polycarpou I, Prokop M, Stegger L, Tsoumpas C, Slart RHJA. PET/MRI in practice: a clinical centre survey endorsed by the European Association of Nuclear Medicine (EANM) and the EANM Forschungs GmbH (EARL). Eur J Nucl Med Mol Imaging 2023; 50:2927-2934. [PMID: 37378857 DOI: 10.1007/s00259-023-06308-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Affiliation(s)
- Niek H J Prakken
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Florent L Besson
- Commissariat À L'énergie Atomique Et Aux Énergies Alternatives (CEA), Centre National de La Recherche Scientifique (CNRS), InsermBioMaps, Orsay, France
- Department of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Le Kremlin-Bicêtre, France
- School of Medicine, Université Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Ronald J H Borra
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Florian Büther
- Department of Nuclear Medicine, University Hospital Münster, Munster, Germany
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and , Harvard Medical School, Boston, MA, USA
| | - Arturo Chiti
- Department of Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Rudi A J O Dierckx
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh Heart Centre, University of Edinburgh, Chancellors Building, Little France Crescent, Edinburgh, UK
| | - Paola A Erba
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Medicine and Surgery, University of Milan Bicocca, and Nuclear Medicine Unit ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | - Andor W J M Glaudemans
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Lars C Gormsen
- Department of Nuclear Medicine & PET Centre, Aarhus University Hospital, Aarhus N, Denmark
| | - Ivalina Hristova
- European Association of Nuclear Medicine Research Ltd. (EARL), Vienna, Austria
| | - Michel Koole
- Department of Imaging and Pathology, Nuclear Medicine and Molecular Imaging, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Thomas C Kwee
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Felix M Mottaghy
- Department of Nuclear Medicine, University Hospital Aachen, RWTH Aachen University, Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, MUMC+), Maastricht, The Netherlands
| | - Irene Polycarpou
- Department of Health Sciences, European University Cyprus, Nicosia, Cyprus
| | - Mathias Prokop
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Lars Stegger
- Department of Nuclear Medicine, University Hospital Münster, Munster, Germany
| | - Charalampos Tsoumpas
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Riemer H J A Slart
- Medical Imaging Centre, Departments of Nuclear Medicine and Molecular Imaging, Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
- Biomedical Photonic Imaging Group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands.
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Degtiarova G, Garefa C, Boehm R, Ciancone D, Sepulcri D, Gebhard C, Giannopoulos AA, Pazhenkottil AP, Kaufmann PA, Buechel RR. Radiomics for the detection of diffusely impaired myocardial perfusion: A proof-of-concept study using 13N-ammonia positron emission tomography. J Nucl Cardiol 2023; 30:1474-1483. [PMID: 36600174 PMCID: PMC10371953 DOI: 10.1007/s12350-022-03179-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 11/28/2022] [Indexed: 01/06/2023]
Abstract
AIM The current proof-of-concept study investigates the value of radiomic features from normal 13N-ammonia positron emission tomography (PET) myocardial retention images to identify patients with reduced global myocardial flow reserve (MFR). METHODS Data from 100 patients with normal retention 13N-ammonia PET scans were divided into two groups, according to global MFR (i.e., < 2 and ≥ 2), as derived from quantitative PET analysis. We extracted radiomic features from retention images at each of five different gray-level (GL) discretization (8, 16, 32, 64, and 128 bins). Outcome independent and dependent feature selection and subsequent univariate and multivariate analyses was performed to identify image features predicting reduced global MFR. RESULTS A total of 475 radiomic features were extracted per patient. Outcome independent and dependent feature selection resulted in a remainder of 35 features. Discretization at 16 bins (GL16) yielded the highest number of significant predictors of reduced MFR and was chosen for the final analysis. GLRLM_GLNU was the most robust parameter and at a cut-off of 948 yielded an accuracy, sensitivity, specificity, negative and positive predictive value of 67%, 74%, 58%, 64%, and 69%, respectively, to detect diffusely impaired myocardial perfusion. CONCLUSION A single radiomic feature (GLRLM_GLNU) extracted from visually normal 13N-ammonia PET retention images independently predicts reduced global MFR with moderate accuracy. This concept could potentially be applied to other myocardial perfusion imaging modalities based purely on relative distribution patterns to allow for better detection of diffuse disease.
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Affiliation(s)
- Ganna Degtiarova
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Chrysoula Garefa
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Reto Boehm
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Domenico Ciancone
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Daniel Sepulcri
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Andreas A. Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Aju P. Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Philipp A. Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Ronny R. Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
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26
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Greutmann M, Tobler D, Engel R, Heg D, Mueller C, Frenk A, Gabriel H, Rutz T, Buechel RR, Willhelm M, Trachsel L, Freese M, Ruperti-Repilado FJ, Valsangiacomo Buechel E, Beitzke D, Haaf P, Wustmann K, Schwitz F, Possner M, Schwitter J, Bouchardy J, Schwerzmann M. Effect of phosphodiesterase-5 inhibition on SystEmic Right VEntricular size and function. A multicentre, double-blind, randomized, placebo-controlled trial: SERVE. Eur J Heart Fail 2023; 25:1105-1114. [PMID: 37264734 DOI: 10.1002/ejhf.2924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 04/11/2023] [Accepted: 05/24/2023] [Indexed: 06/03/2023] Open
Abstract
AIMS In adults with congenital heart disease and systemic right ventricles, progressive right ventricular systolic dysfunction is common and is associated with adverse outcomes. Our aim was to assess the impact of the phosphodiesterase-5-inhibitor tadalafil on right ventricular systolic function. METHODS AND RESULTS This was a double-blind, randomized, placebo-controlled, multicentre superiority trial (NCT03049540) involving 100 adults with systemic right ventricles (33 women, mean age: 40.7 ± 10.7 years), comparing tadalafil 20 mg once daily versus placebo (1:1 ratio). The primary endpoint was the change in right ventricular end-systolic volume after 3 years of therapy. Secondary endpoints were changes in right ventricular ejection fraction, exercise capacity and N-terminal pro-B-type natriuretic peptide concentration. Primary endpoint assessment by intention to treat analysis at 3 years of follow-up was possible in 83 patients (42 patients in the tadalafil group and 41 patients in the placebo group). No significant changes over time in right ventricular end-systolic volumes were observed in the tadalafil and the placebo group, and no significant differences between treatment groups (3.4 ml, 95% confidence interval -4.3 to 11.0, p = 0.39). No significant changes over time were observed for the pre-specified secondary endpoints for the entire study population, without differences between the tadalafil and the placebo group. CONCLUSIONS In this trial in adults with systemic right ventricles, right ventricular systolic function, exercise capacity and neuro-hormonal activation remained stable over a 3-year follow-up period. No significant treatment effect of tadalafil was observed. Further research is needed to find effective treatment for improvement of ventricular function in adults with systemic right ventricles.
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Affiliation(s)
- Matthias Greutmann
- University Heart Center, Department of cardiology, University of Zurich, Zürich, Switzerland
| | - Daniel Tobler
- Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Reto Engel
- Department of Cardiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Dik Heg
- CTU Bern, University of Bern, Bern, Switzerland
| | - Christian Mueller
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - André Frenk
- Department of Cardiology, Center for Congenital Heart Disease, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Harald Gabriel
- Department of Cardiology, Vienna General Hospital, Medical University of Vienna, Vienna, Austria
| | - Tobias Rutz
- Service of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Cardiac MR Center of the University Hospital Lausanne and CMR Corelab (swissCVIcorelab, CHUV), Lausanne, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Matthias Willhelm
- University Clinic of Cardiology, Preventive Cardiology and Sports Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Lukas Trachsel
- University Clinic of Cardiology, Preventive Cardiology and Sports Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Michael Freese
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Basel, Switzerland
| | | | | | - Dietrich Beitzke
- Department of Biomedical Imaging and Image-Guided Therapy, Vienna General Hospital, Medical University of Vienna, Vienna, Austria
| | - Philip Haaf
- Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Kerstin Wustmann
- Cardiac MR Center of the University Hospital Lausanne and CMR Corelab (swissCVIcorelab, CHUV), Lausanne, Switzerland
| | - Fabienne Schwitz
- Department of Cardiology, Center for Congenital Heart Disease, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Mathias Possner
- University Heart Center, Department of cardiology, University of Zurich, Zürich, Switzerland
| | - Juerg Schwitter
- Service of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Cardiac MR Center of the University Hospital Lausanne and CMR Corelab (swissCVIcorelab, CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, Lausanne University (UniL), Lausanne, Switzerland
| | - Judith Bouchardy
- Service of Cardiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Division of Cardiology, Hôpitaux Universitaires de Genève (HUG), Genève, Switzerland
| | - Markus Schwerzmann
- Department of Cardiology, Center for Congenital Heart Disease, Bern University Hospital, University of Bern, Bern, Switzerland
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada
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27
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Giannopoulos AA, Buechel RR, Kaufmann PA. Coronary microvascular disease in hypertrophic and infiltrative cardiomyopathies. J Nucl Cardiol 2023; 30:800-810. [PMID: 35915323 PMCID: PMC10125945 DOI: 10.1007/s12350-022-03040-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/20/2022] [Indexed: 11/30/2022]
Abstract
Pathologic hypertrophy of the cardiac muscle is a commonly encountered phenotype in clinical practice, associated with a variety of structural and non-structural diseases. Coronary microvascular disease is considered to play an important role in the natural history of this pathological phenotype. Non-invasive imaging modalities, most prominently positron emission tomography and cardiac magnetic resonance, have provided insights into the pathophysiological mechanisms of the interplay between hypertrophy and the coronary microvasculature. This article summarizes the current knowledge on coronary microvascular dysfunction in the most frequently encountered forms of pathologic hypertrophy.
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Affiliation(s)
- Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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28
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Etter D, Warnock G, Koszarski F, Niemann T, Mikail N, Bengs S, Buechel RR, Kaufmann P, Gebhard C, Rossi A. Towards universal comparability of pericoronary adipose tissue attenuation: a coronary computed tomography angiography phantom study. Eur Radiol 2023; 33:2324-2330. [PMID: 36472700 PMCID: PMC10017558 DOI: 10.1007/s00330-022-09274-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 10/03/2022] [Accepted: 10/24/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Different computed tomography (CT) scanners, variations in acquisition protocols, and technical parameters employed for image reconstruction may introduce bias in the analysis of pericoronary adipose tissue (PCAT) attenuation derived from coronary computed tomography angiography (CCTA). Therefore, the aim of this study was to establish the effect of tube voltage, measured as kilovoltage peak (kVp), and iterative reconstruction on PCAT mean attenuation (PCATMA). METHODS Twelve healthy ex vivo porcine hearts were injected with iodine-enriched agar-agar to allow for ex vivo CCTA imaging on a 256-slice CT and a dual-source CT system. Images were acquired at tube voltages of 80, 100, 120, and 140 kVp and reconstructed by using both filtered back projection and iterative reconstruction algorithms. PCATMA was measured semi-automatically on CCTA images in the proximal segment of coronary arteries. RESULTS The tube voltage showed a significant effect on PCATMA measurements on both the 256-slice CT scanner (p < 0.001) and the dual-source CT system (p = 0.013), resulting in higher attenuation values with increasing tube voltage. Similarly, the use of iterative reconstructions was associated with a significant increase of PCATMA (256-slice CT: p < 0.001 and dual-source CT: p = 0.014). Averaged conversion factors to correct PCATMA measurements for tube voltage other than 120 kVp were 1.267, 1.080 and 0.947 for 80, 100, and 140 kVp, respectively. CONCLUSION PCATMA values are significantly affected by acquisition and reconstruction parameters. The same tube voltage and reconstruction type are recommended when PCAT attenuation is used in multicenter and longitudinal studies. KEY POINTS • The tube voltage used for CCTA acquisition affects pericoronary adipose tissue attenuation, resulting in higher attenuation values of fat with increasing tube voltage. • Conversion factors for pericoronary adipose tissue attenuation values could be used to adjust for differences in attenuation between scans performed at different tube voltages. • In longitudinal CCTA studies employing pericoronary adipose tissue attenuation as imaging endpoint, it is recommended to maintain tube voltage and image reconstruction type constant across serial scans.
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Affiliation(s)
- Dominik Etter
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Geoff Warnock
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Frederic Koszarski
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Tilo Niemann
- Department of Radiology, Kantonsspital Baden, 5400, Baden, Switzerland
| | - Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Philipp Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Cathérine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland.
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29
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Maurer A, Sustar A, Giannopoulos AA, Grünig H, Bakula A, Patriki D, von Felten E, Messerli M, Pazhenkottil AP, Gebhard C, Kaufmann PA, Buechel RR, Fuchs TA. Left ventricular function and volumes from gated [ 13N]-ammonia positron emission tomography myocardial perfusion imaging: A prospective head-to-head comparison against CMR using a hybrid PET/MR device. J Nucl Cardiol 2023; 30:616-625. [PMID: 35819716 DOI: 10.1007/s12350-022-03029-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/22/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Positron emission tomography (PET) myocardial perfusion imaging (MPI) can be used to evaluate left ventricular (LV) volumes and function. We performed a head-to-head comparison of LV function and volumes obtained simultaneously using [13N]-ammonia-PET and cardiac magnetic resonance (CMR), with the latter serving as the reference standard. METHODS AND RESULTS In this prospective study, 51 patients underwent [13N]-ammonia-PET MPI and CMR using a hybrid PET/MR device. Left ventricular end-systolic volumes (LVESV), end-diastolic volumes (LVEDV), stroke volumes (LVSV), ejection fractions (LVEF), and segmental wall motion were analyzed for both methods and were compared using correlational and Bland-Altman (BA) analysis; segmental wall motion was compared using ANOVA. The agreement between [13N]-ammonia-PET and CMR for LVEF was good, with minimal bias (- .6%) and narrow BA limits of agreement (- 7.9% to 6.8%), but [13N]-ammonia-PET systematically underestimated LV volumes, with high bias in LVESV (- 11.2 ml), LVEDV (- 28.9 ml), and LVSV (- 17.5 ml). Mean segmental wall motion in [13N]-ammonia-PET differed significantly among the corresponding normokinetic (6.6 ± 2 mm), hypokinetic (5.1 ± 2 mm), and akinetic (3.3 ± 2 mm) segments in CMR (P < .01). CONCLUSION LVEF and LV wall motion can be accurately assessed using [13N]-ammonia-PET MPI, although LV volumes are significantly underestimated compared to CMR.
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Affiliation(s)
- Alexander Maurer
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Aleksandra Sustar
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Hannes Grünig
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Adam Bakula
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.
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30
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Sartoretti T, Gennari AG, Sartoretti E, Skawran S, Maurer A, Buechel RR, Messerli M. Fully automated deep learning powered calcium scoring in patients undergoing myocardial perfusion imaging. J Nucl Cardiol 2023; 30:313-320. [PMID: 35301677 PMCID: PMC9984313 DOI: 10.1007/s12350-022-02940-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/12/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND To assess the accuracy of fully automated deep learning (DL) based coronary artery calcium scoring (CACS) from non-contrast computed tomography (CT) as acquired for attenuation correction (AC) of cardiac single-photon-emission computed tomography myocardial perfusion imaging (SPECT-MPI). METHODS AND RESULTS Patients were enrolled in this study as part of a larger prospective study (NCT03637231). In this study, 56 Patients who underwent cardiac SPECT-MPI due to suspected coronary artery disease (CAD) were prospectively enrolled. All patients underwent non-contrast CT for AC of SPECT-MPI twice. CACS was manually assessed (serving as standard of reference) on both CT datasets (n = 112) and by a cloud-based DL tool. The agreement in CAC scores and CAC score risk categories was quantified. For the 112 scans included in the analysis, interscore agreement between the CAC scores of the standard of reference and the DL tool was 0.986. The agreement in risk categories was 0.977 with a reclassification rate of 3.6%. Heart rate, image noise, body mass index (BMI), and scan did not significantly impact (p=0.09 - p=0.76) absolute percentage difference in CAC scores. CONCLUSION A DL tool enables a fully automated and accurate estimation of CAC scores in patients undergoing non-contrast CT for AC of SPECT-MPI.
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Affiliation(s)
- Thomas Sartoretti
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
- Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands
| | - Antonio G Gennari
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Elisabeth Sartoretti
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Stephan Skawran
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Alexander Maurer
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
- University of Zurich, Zurich, Switzerland.
- Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands.
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31
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Bengs S, Warnock GI, Portmann A, Mikail N, Rossi A, Ahmed H, Etter D, Treyer V, Gisler L, Pfister SK, Jie CVML, Meisel A, Keller C, Liang SH, Schibli R, Mu L, Buechel RR, Kaufmann PA, Ametamey SM, Gebhard C, Haider A. Rest/stress myocardial perfusion imaging by positron emission tomography with 18F-Flurpiridaz: A feasibility study in mice. J Nucl Cardiol 2023; 30:62-73. [PMID: 35484467 PMCID: PMC9984310 DOI: 10.1007/s12350-022-02968-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 03/15/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Myocardial perfusion imaging by positron emission tomography (PET-MPI) is the current gold standard for quantification of myocardial blood flow. 18F-flurpiridaz was recently introduced as a valid alternative to currently used PET-MPI probes. Nonetheless, optimum scan duration and time interval for image analysis are currently unknown. Further, it is unclear whether rest/stress PET-MPI with 18F-flurpiridaz is feasible in mice. METHODS Rest/stress PET-MPI was performed with 18F-flurpiridaz (0.6-3.0 MBq) in 27 mice aged 7-8 months. Regadenoson (0.1 µg/g) was used for induction of vasodilator stress. Kinetic modeling was performed using a metabolite-corrected arterial input function. Image-derived myocardial 18F-flurpiridaz uptake was assessed for different time intervals by placing a volume of interest in the left ventricular myocardium. RESULTS Tracer kinetics were best described by a two-tissue compartment model. K1 ranged from 6.7 to 20.0 mL·cm-3·min-1, while myocardial volumes of distribution (VT) were between 34.6 and 83.6 mL·cm-3. Of note, myocardial 18F-flurpiridaz uptake (%ID/g) was significantly correlated with K1 at rest and following pharmacological vasodilation for all time intervals assessed. However, while Spearman's coefficients (rs) ranged between 0.478 and 0.681, R2 values were generally low. In contrast, an excellent correlation of myocardial 18F-flurpiridaz uptake with VT was obtained, particularly when employing the averaged myocardial uptake from 20 to 40 min post tracer injection (R2 ≥ 0.98). Notably, K1 and VT were similarly sensitive to pharmacological vasodilation induction. Further, mean stress-to-rest ratios of K1, VT, and %ID/g 18F-flurpiridaz were virtually identical, suggesting that %ID/g 18F-flurpiridaz can be used to estimate coronary flow reserve (CFR) in mice. CONCLUSION Our findings suggest that a simplified assessment of relative myocardial perfusion and CFR, based on image-derived tracer uptake, is feasible with 18F-flurpiridaz in mice, enabling high-throughput mechanistic CFR studies in rodents.
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Affiliation(s)
- Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Geoffrey I Warnock
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Hazem Ahmed
- Institute of Pharmaceutical Sciences, ETH Zurich, 8093, Zurich, Switzerland
| | - Dominik Etter
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Livio Gisler
- Institute of Pharmaceutical Sciences, ETH Zurich, 8093, Zurich, Switzerland
| | - Stefanie K Pfister
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA, 02114, USA
| | - Caitlin V M L Jie
- Institute of Pharmaceutical Sciences, ETH Zurich, 8093, Zurich, Switzerland
| | - Alexander Meisel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Claudia Keller
- Institute of Pharmaceutical Sciences, ETH Zurich, 8093, Zurich, Switzerland
| | - Steven H Liang
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA, 02114, USA
| | - Roger Schibli
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Institute of Pharmaceutical Sciences, ETH Zurich, 8093, Zurich, Switzerland
| | - Linjing Mu
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Institute of Pharmaceutical Sciences, ETH Zurich, 8093, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Simon M Ametamey
- Institute of Pharmaceutical Sciences, ETH Zurich, 8093, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Ahmed Haider
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland.
- Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital & Department of Radiology, Harvard Medical School, Boston, MA, 02114, USA.
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Schoepf IC, Thorball CW, Kovari H, Ledergerber B, Buechel RR, Calmy A, Weber R, Kaufmann PA, Nkoulou R, Schwenke JM, Braun DL, Fellay J, Tarr PE. Polygenic Risk Scores for Prediction of Subclinical Coronary Artery Disease in Persons With Human Immunodeficiency Virus (HIV): The Swiss HIV Cohort Study. Clin Infect Dis 2023; 76:48-56. [PMID: 36097729 DOI: 10.1093/cid/ciac758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/16/2022] [Accepted: 09/08/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND In people with human immunodeficiency virus (HIV) (PWH), individual polygenic risk scores (PRSs) are associated with coronary artery disease (CAD) events. Whether PRSs are associated with subclinical CAD is unknown. METHODS In Swiss HIV Cohort Study participants of European descent, we defined subclinical CAD as presence of soft, mixed, or high-risk plaque (SMHRP) on coronary computed tomography (CT) angiography, or as participants in the top tertile of the study population's coronary artery calcium (CAC) score, using noncontrast CT. We obtained univariable and multivariable odds ratios (ORs) for subclinical CAD endpoints based on nongenetic risk factors, and validated genome-wide PRSs built from single nucleotide polymorphisms associated with CAD, carotid intima-media thickness (IMT), or longevity in the general population. RESULTS We included 345 genotyped participants (median age, 53 years; 89% male; 96% suppressed HIV RNA); 172 and 127 participants had SMHRP and CAC, respectively. CAD-associated PRS and IMT-associated PRS were associated with SMHRP and CAC (all P < .01), but longevity PRS was not. Participants with unfavorable CAD-PRS (top quintile) had an adjusted SMHRP OR = 2.58 (95% confidence interval [CI], 1.18-5.67), and a CAC OR = 3.95 (95% CI, 1.45-10.77) vs. bottom quintile. Unfavorable nongenetic risk (top vs. bottom quintile) was associated with adjusted SMHRP OR = 24.01 (95% CI, 9.75-59.11), and a CAC-OR = 65.07 (95% CI, 18.48-229.15). Area under the receiver operating characteristic curve increased when we added CAD-PRS to nongenetic risk factors (SMHRP: 0.75 and 0.78, respectively; CAC: 0.80 and 0.83, respectively). CONCLUSIONS In Swiss PWH, subclinical CAD is independently associated with an individual CAD-associated PRS. Combining nongenetic and genetic cardiovascular risk factors provided the most powerful subclinical CAD prediction.
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Affiliation(s)
- Isabella C Schoepf
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.,Hepatology, Department for Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland.,University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Christian W Thorball
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Helen Kovari
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Bruno Ledergerber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexandra Calmy
- Division of Infectious Disease, Geneva University Hospital, Geneva, Switzerland
| | - Rainer Weber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - René Nkoulou
- Division of Cardiology, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Johannes M Schwenke
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jacques Fellay
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Philip E Tarr
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
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Degtiarova G, Mikulicic F, Vontobel J, Garefa C, Keller LS, Boehm R, Ciancone D, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Post-hoc motion correction for coronary computed tomography angiography without additional radiation dose - Improved image quality and interpretability for “free”. Imaging 2022. [DOI: 10.1556/1647.2022.00060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
AbstractObjectiveTo evaluate the impact of a motion-correction (MC) algorithm, applicable post-hoc and not dependent on extended padding, on the image quality and interpretability of coronary computed tomography angiography (CCTA).MethodsNinety consecutive patients undergoing CCTA on a latest-generation 256-slice CT device were prospectively included. CCTA was performed with prospective electrocardiogram-triggering and the shortest possible acquisition window (without padding) at 75% of the R-R-interval. All datasets were reconstructed without and with MC of the coronaries. The latter exploits the minimal padding inherent in cardiac CT scans with this device due to data acquisition also during the short time interval needed for the tube to reach target currents and voltage (“free” multiphase). Two blinded readers independently assessed image quality on a 4-point Likert scale for all segments.ResultsA total of 1,030 coronary segments were evaluated. Application of MC both with automatic and manual coronary centerline tracking resulted in a significant improvement in image quality as compared to the standard reconstruction without MC (mean Likert score 3.67 [3.50;3.81] vs 3.58 [3.40;3.73], P = 0.005, and 3.7 [3.55;3.82] vs 3.58 [3.40;3.73], P < 0.001, respectively). Furthermore, MC significantly reduced the proportion of non-evaluable segments and patients with at least one non-evaluable coronary segment from 2% to as low as 0.3%, and from 14% to as low as 3%. Reduction of motion artifacts was predominantly observed in the right coronary artery.ConclusionsA post-hoc device-specific MC algorithm improves image quality and interpretability of prospectively electrocardiogram-triggered CCTA and reduces the proportion of non-evaluable scans without any additional radiation dose exposure.
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Affiliation(s)
- Ganna Degtiarova
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Fran Mikulicic
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Jan Vontobel
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Chrysoula Garefa
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Lukas S. Keller
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Reto Boehm
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Domenico Ciancone
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Aju P. Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Philipp A. Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Ronny R. Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
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Gennari AG, Grünig H, Benz DC, Skawran S, Maurer A, Abukwaik AMA, Rossi A, Gebhard C, Buechel RR, Messerli M. Low-dose CT from myocardial perfusion SPECT/CT allows the detection of anemia in preoperative patients. J Nucl Cardiol 2022; 29:3236-3247. [PMID: 35175556 PMCID: PMC9834113 DOI: 10.1007/s12350-021-02899-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 12/14/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND To assess whether low-dose CT for attenuation correction of myocardial perfusion single-photon emission computed tomography (SPECT) allows for identification of anemic patients and grading anemia severity. METHODS AND RESULTS Patients who underwent a preoperative blood-test and low-dose CT scan, as a part of a cardiac SPECT exam, between 01 January 2015 and 31 December 2017 were enrolled in this retrospective study. Hemoglobin (Hb) levels and hematocrit were derived from clinical records. CT images were visually assessed (qualitative analysis) for the detection of inter-ventricular septum sign (IVSS) and aortic rim sign (ARS) and quantitative analysis were performed. The diagnostic accuracy for detecting anemia was compared using Hb values as the standard of reference. A total of 229 patients were included (110 with anemia; 57 mild; 46 moderate; 7 severe). The AUC of IVSS and ARS were 0.830 and 0.669, respectively (p<0.0001). The quantitative analysis outperformed ARS and IVSS; (AUC of 0.893, p=0.29). The optimal anemia cut-off using Youden index was 4.5 HU. CONCLUSION Quantitative analysis derived from low-dose CT images, as a part of cardiac SPECT exams, have a diagnostic accuracy similar to that of hematocrit for the detection of anemia and may allow discriminating different anemia severities.
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Affiliation(s)
- Antonio G Gennari
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Hannes Grünig
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Stephan Skawran
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Alexander Maurer
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Ahmad M A Abukwaik
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich/University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
- University of Zurich, Zurich, Switzerland.
- Maastricht UMC+, Heart and Vascular Center, Maastricht, The Netherlands.
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Sartoretti E, Gennari AG, Maurer A, Sartoretti T, Skawran S, Schwyzer M, Rossi A, Giannopoulos AA, Buechel RR, Gebhard C, Huellner MW, Messerli M. Opportunistic deep learning powered calcium scoring in oncologic patients with very high coronary artery calcium (≥ 1000) undergoing 18F-FDG PET/CT. Sci Rep 2022; 12:19191. [PMID: 36357446 PMCID: PMC9649723 DOI: 10.1038/s41598-022-20005-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 09/07/2022] [Indexed: 11/11/2022] Open
Abstract
Our aim was to identify and quantify high coronary artery calcium (CAC) with deep learning (DL)-powered CAC scoring (CACS) in oncological patients with known very high CAC (≥ 1000) undergoing 18F-FDG-PET/CT for re-/staging. 100 patients were enrolled: 50 patients with Agatston scores ≥ 1000 (high CACS group), 50 patients with Agatston scores < 1000 (negative control group). All patients underwent oncological 18F-FDG-PET/CT and cardiac SPECT myocardial perfusion imaging (MPI) by 99mTc-tetrofosmin within 6 months. CACS was manually performed on dedicated non-contrast ECG-gated CT scans obtained from SPECT-MPI (reference standard). Additionally, CACS was performed fully automatically with a user-independent DL-CACS tool on non-contrast, free-breathing, non-gated CT scans from 18F-FDG-PET/CT examinations. Image quality and noise of CT scans was assessed. Agatston scores obtained by manual CACS and DL tool were compared. The high CACS group had Agatston scores of 2200 ± 1620 (reference standard) and 1300 ± 1011 (DL tool, average underestimation of 38.6 ± 26%) with an intraclass correlation of 0.714 (95% CI 0.546, 0.827). Sufficient image quality significantly improved the DL tool's capability of correctly assigning Agatston scores ≥ 1000 (p = 0.01). In the control group, the DL tool correctly assigned Agatston scores < 1000 in all cases. In conclusion, DL-based CACS performed on non-contrast free-breathing, non-gated CT scans from 18F-FDG-PET/CT examinations of patients with known very high (≥ 1000) CAC underestimates CAC load, but correctly assigns an Agatston scores ≥ 1000 in over 70% of cases, provided sufficient CT image quality. Subgroup analyses of the control group showed that the DL tool does not generate false-positives.
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Affiliation(s)
- Elisabeth Sartoretti
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Antonio G. Gennari
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Alexander Maurer
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Thomas Sartoretti
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Stephan Skawran
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Moritz Schwyzer
- grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland ,grid.412004.30000 0004 0478 9977Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland ,grid.5801.c0000 0001 2156 2780Health Sciences and Technology, Institute of Food, Nutrition and Health, ETH Zurich, Zurich, Switzerland
| | - Alexia Rossi
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Andreas A. Giannopoulos
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Ronny R. Buechel
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
| | - Martin W. Huellner
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
| | - Michael Messerli
- grid.412004.30000 0004 0478 9977Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland ,grid.7400.30000 0004 1937 0650University of Zurich, Zurich, Switzerland
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Caselli C, Ragusa R, Di Giorgi N, Lorenzoni V, Buechel RR, Teresinska A, Pizzi MN, Roque A, Poddighe R, Knuuti J, Parodi O, Pelosi G, Scholte A, Rocchiccioli S, Neglia D. Association of serum MMP9 with adverse features of plaque progression in patients with chronic coronary syndrome (CCS). Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Previous studies have demonstrated that MMP-9 may be a predictor of atherosclerotic plaque instability and future adverse cardiovascular events, but longitudinal data on the association between MMP9 and coronary disease progression are lacking.
Purpose
This study is aimed at investigating whether MMP9 is associated with atherosclerotic plaque progression.
Methods
MMP9 serum levels were measured in stable patients with chronic coronary syndrome (CCS) undergoing coronary computed tomography angiography at baseline and after a period of 6.5±1.1 years of follow up to assess progression of Total, Fibrous, Fibro-fatty, Necrotic Core, and Dense Calcium plaque volume (PV). The relationship of serum MMP9 with plaque progression was assessed using linear regression analysis, adjusting for clinical variables including, age, sex, risk factors, medical therapy, LDL-C, TG/HDL-C ratio, hs-CRP, and the presence of obstructive CAD (>50% coronary stenosis in at least one major coronary vessels).
Results
A total of 157 patients (58±8 years of age; 66% males) were included in the analysis, with median MMP9 values of 135±186 mg/dL (mean ± SD). Annual changes of Total, Fibrous-Fatty and Necrotic Core PV were significantly different across MMP9 tertiles (Figure 1). Multivariable linear regression analysis demonstrated a positive association between serum levels of MMP9 and annual change of Total and Necrotic Core PV (Figure 1).
Conclusion
Among patients with CCS, MMP9 serum levels were an independent predictor of progression of coronary plaque burden and, in particular, of adverse plaque features, such as Necrotic Core PV. This association was robust and independent from baseline traditional cardiovascular risk factors and medications, supporting for MMP9 a role as a novel marker of residual coronary risk.
Funding Acknowledgement
Type of funding sources: Public grant(s) – EU funding. Main funding source(s): Horizon 2020 - Project “Simulation Modeling of coronary ARTery disease: a tool for clinical decision support–SMARTool”
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Affiliation(s)
- C Caselli
- Institute of Clinical Physiology (IFC) , Pisa , Italy
| | - R Ragusa
- Institute of Clinical Physiology (IFC) , Pisa , Italy
| | - N Di Giorgi
- Institute of Clinical Physiology (IFC) , Pisa , Italy
| | - V Lorenzoni
- Sant'Anna School of Advanced Studies , Pisa , Italy
| | - R R Buechel
- University Hospital Zurich , Zurich , Switzerland
| | | | - M N Pizzi
- University Hospital Vall d'Hebron , Barcelona , Spain
| | - A Roque
- University Hospital Vall d'Hebron , Barcelona , Spain
| | - R Poddighe
- USL Toscana Northwest , Viareggio , Italy
| | - J Knuuti
- University of Turku , Turku , Finland
| | - O Parodi
- Fondazione Toscana Gabriele Monasterio , Pisa , Italy
| | - G Pelosi
- Institute of Clinical Physiology (IFC) , Pisa , Italy
| | - A Scholte
- Leiden University Medical Center , Leiden , The Netherlands
| | | | - D Neglia
- Fondazione Toscana Gabriele Monasterio , Pisa , Italy
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Bechtiger FA, Grossmann M, Bakula A, Patriki D, von Felten E, Fuchs TA, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Risk stratification using coronary artery calcium scoring based on low tube voltage computed tomography. Int J Cardiovasc Imaging 2022; 38:2227-2234. [PMID: 37726457 PMCID: PMC10509109 DOI: 10.1007/s10554-022-02615-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/05/2022] [Indexed: 11/05/2022]
Abstract
To determine if coronary artery calcium (CAC) scoring using computed tomography at 80 kilovolt-peak (kVp) and 70-kVp and tube voltage-adapted scoring-thresholds allow for accurate risk stratification as compared to the standard 120-kVp protocol. We prospectively included 170 patients who underwent standard CAC scanning at 120-kVp and 200 milliamperes and additional scans with 80-kVp and 70-kVp tube voltage with adapted tube current to normalize image noise across scans. Novel kVp-adapted thresholds were applied to calculate CAC scores from the low-kVp scans and were compared to those from standard 120-kVp scans by assessing risk reclassification rates and agreement using Kendall's rank correlation coefficients (Τb) for risk categories bounded by 0, 1, 100, and 400. Interreader reclassification rates for the 120-kVp scans were assessed. Agreement for risk classification obtained from 80-kVp and 70-kVp scans as compared to 120-kVp was good (Τb = 0.967 and 0.915, respectively; both p < 0.001) with reclassification rates of 7.1% and 17.2%, respectively, mostly towards a lower risk category. By comparison, the interreader reclassification rate was 4.1% (Τb = 0.980, p < 0.001). Reclassification rates were dependent on body mass index (BMI) with 7.1% and 13.6% reclassifications for the 80-kVp and 70-kVp scans, respectively, in patients with a BMI < 30 kg/m2 (n = 140), and 2.9% and 7.4%, respectively, in patients with a BMI < 25 kg/m2 (n = 68). Mean effective radiation dose from the 120-kVp, the 80-kVp, and 70-kVp scans was 0.54 ± 0.03, 0.42 ± 0.02, and 0.26 ± 0.02 millisieverts. CAC scoring with reduced tube voltage allows for accurate risk stratification if kVp-adapted thresholds for calculation of CAC scores are applied.ClinicalTrials.gov NCT03637231.
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Affiliation(s)
- Fabiola A Bechtiger
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Marvin Grossmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Adam Bakula
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University Zurich, Zurich, Switzerland.
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Caselli C, Di Giorgi N, Ragusa R, Lorenzoni V, Smit J, El Mahdiui M, Buechel RR, Teresinska A, Pizzi MN, Roque A, Poddighe R, Knuuti J, Schütte M, Parodi O, Pelosi G, Scholte A, Rocchiccioli S, Neglia D. Association of MMP9 with adverse features of plaque progression and residual inflammatory risk in patients with chronic coronary syndrome (CCS). Vascul Pharmacol 2022; 146:107098. [PMID: 36100166 DOI: 10.1016/j.vph.2022.107098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/18/2022] [Accepted: 08/26/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND AIMS MMP-9 is a predictor of atherosclerotic plaque instability and adverse cardiovascular events, but longitudinal data on the association between MMP9 and coronary disease progression are lacking. This study is aimed at investigating whether MMP9 is associated with atherosclerotic plaque progression and the related molecular basis in stable patients with chronic coronary syndrome (CCS). METHODS MMP9 serum levels were measured in 157 CCS patients (58 ± 8 years of age; 66% male) undergoing coronary computed tomography angiography at baseline and after a follow up period of 6.5 ± 1.1 years to assess progression of Total, Fibrous, Fibro-fatty, Necrotic Core, and Dense Calcium plaque volumes (PV). Gene expression analysis was evaluated in whole blood using a transcriptomic approach by RNA-seq. RESULTS At multivariate analysis, serum MMP9 was associated with annual change of Total and Necrotic Core PV (Coefficient 3.205, SE 1.321, P = 0.017; 1.449, SE 0.690, P = 0.038, respectively), while MMP9 gene expression with Necrotic Core PV (Coefficient 70.559, SE 32.629, P = 0.034), independently from traditional cardiovascular risk factors, medications, and presence of obstructive CAD. After transcriptomic analysis, MMP9 expression was linked to expression of genes involved in the innate immunity. CONCLUSIONS Among CCS patients, MMP9 is an independent predictive marker of progression of adverse coronary plaques, possibly reflecting the activity of inflammatory pathways conditioning adverse plaque phenotypes. Thus, blood MMP9 might be used for the identification of patients with residual risk even with optimal management of classical cardiovascular risk factors who may derive the greatest benefit from targeted anti-inflammatory drugs.
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Affiliation(s)
- Chiara Caselli
- Institute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy.
| | | | - Rosetta Ragusa
- Institute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy.
| | - Valentina Lorenzoni
- Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà, 33, Pisa, Italy.
| | - Jeff Smit
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, RC, Leiden, the Netherlands.
| | - Mohammed El Mahdiui
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, RC, Leiden, the Netherlands.
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital and University of Zurich, Switzerland.
| | | | - Maria N Pizzi
- Department of Cardiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Albert Roque
- Department of Cardiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | | | - Juhani Knuuti
- PET Center, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, Turku, Finland.
| | - Moritz Schütte
- Alacris Theranostics GmbH, Max-Planck-Straße 3, 12489 Berlin, Germany.
| | - Oberdan Parodi
- Fondazione Toscana G. Monasterio, Via G. Moruzzi 1, Pisa, Italy
| | - Gualtiero Pelosi
- Institute of Clinical Physiology CNR, Via G. Moruzzi 1, Pisa, Italy.
| | - Arthur Scholte
- Department of Cardiology, Heart Lung Center, Leiden University Medical Centre, Albinusdreef 2, RC, Leiden, the Netherlands.
| | | | - Danilo Neglia
- Fondazione Toscana G. Monasterio, Via G. Moruzzi 1, Pisa, Italy.
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Mikail N, Rossi A, Bengs S, Haider A, Stähli BE, Portmann A, Imperiale A, Treyer V, Meisel A, Pazhenkottil AP, Messerli M, Regitz-Zagrosek V, Kaufmann PA, Buechel RR, Gebhard C. Imaging of heart disease in women: review and case presentation. Eur J Nucl Med Mol Imaging 2022; 50:130-159. [PMID: 35974185 PMCID: PMC9668806 DOI: 10.1007/s00259-022-05914-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/12/2022] [Indexed: 11/04/2022]
Abstract
Cardiovascular diseases (CVD) remain the leading cause of mortality worldwide. Although major diagnostic and therapeutic advances have significantly improved the prognosis of patients with CVD in the past decades, these advances have less benefited women than age-matched men. Noninvasive cardiac imaging plays a key role in the diagnosis of CVD. Despite shared imaging features and strategies between both sexes, there are critical sex disparities that warrant careful consideration, related to the selection of the most suited imaging techniques, to technical limitations, and to specific diseases that are overrepresented in the female population. Taking these sex disparities into consideration holds promise to improve management and alleviate the burden of CVD in women. In this review, we summarize the specific features of cardiac imaging in four of the most common presentations of CVD in the female population including coronary artery disease, heart failure, pregnancy complications, and heart disease in oncology, thereby highlighting contemporary strengths and limitations. We further propose diagnostic algorithms tailored to women that might help in selecting the most appropriate imaging modality.
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Affiliation(s)
- Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Ahmed Haider
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland.,Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Barbara E Stähli
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Alessio Imperiale
- Nuclear Medicine and Molecular Imaging - Institut de Cancérologie de Strasbourg Europe (ICANS), University of Strasbourg, Strasbourg, France.,Molecular Imaging - DRHIM, IPHC, UMR 7178, CNRS/Unistra, Strasbourg, France
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Alexander Meisel
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Vera Regitz-Zagrosek
- Charité, Universitätsmedizin, Berlin, Berlin, Germany.,University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Cathérine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. .,Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland. .,Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
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40
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Morf C, Sartoretti T, Gennari AG, Maurer A, Skawran S, Giannopoulos AA, Sartoretti E, Schwyzer M, Curioni-Fontecedro A, Gebhard C, Buechel RR, Kaufmann PA, Huellner MW, Messerli M. Diagnostic Value of Fully Automated Artificial Intelligence Powered Coronary Artery Calcium Scoring from 18F-FDG PET/CT. Diagnostics (Basel) 2022; 12:diagnostics12081876. [PMID: 36010226 PMCID: PMC9406755 DOI: 10.3390/diagnostics12081876] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/24/2022] [Accepted: 07/27/2022] [Indexed: 11/30/2022] Open
Abstract
Objectives: The objective of this study was to assess the feasibility and accuracy of a fully automated artificial intelligence (AI) powered coronary artery calcium scoring (CACS) method on ungated CT in oncologic patients undergoing 18F-FDG PET/CT. Methods: A total of 100 oncologic patients examined between 2007 and 2015 were retrospectively included. All patients underwent 18F-FDG PET/CT and cardiac SPECT myocardial perfusion imaging (MPI) by 99mTc-tetrofosmin within 6 months. CACS was manually performed on non-contrast ECG-gated CT scans obtained from SPECT-MPI (i.e., reference standard). Additionally, CACS was performed using a cloud-based, user-independent tool (AI-CACS) on ungated CT scans from 18F-FDG-PET/CT examinations. Agatston scores from the manual CACS and AI-CACS were compared. Results: On a per-patient basis, the AI-CACS tool achieved a sensitivity and specificity of 85% and 90% for the detection of CAC. Interscore agreement of CACS between manual CACS and AI-CACS was 0.88 (95% CI: 0.827, 0.918). Interclass agreement of risk categories was 0.8 in weighted Kappa analysis, with a reclassification rate of 44% and an underestimation of one risk category by AI-CACS in 39% of cases. On a per-vessel basis, interscore agreement of CAC scores ranged from 0.716 for the circumflex artery to 0.863 for the left anterior descending artery. Conclusions: Fully automated AI-CACS as performed on non-contrast free-breathing, ungated CT scans from 18F-FDG-PET/CT examinations is feasible and provides an acceptable to good estimation of CAC burden. CAC load on ungated CT is, however, generally underestimated by AI-CACS, which should be taken into account when interpreting imaging findings.
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Affiliation(s)
- Claudia Morf
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Thomas Sartoretti
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Antonio G. Gennari
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Alexander Maurer
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Stephan Skawran
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Andreas A. Giannopoulos
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Elisabeth Sartoretti
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Moritz Schwyzer
- University of Zurich, 8006 Zurich, Switzerland
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland;
| | - Alessandra Curioni-Fontecedro
- University of Zurich, 8006 Zurich, Switzerland
- Department of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland;
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8006 Zurich, Switzerland
| | - Ronny R. Buechel
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Philipp A. Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Martin W. Huellner
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland; (C.M.); (T.S.); (A.G.G.); (A.M.); (S.S.); (A.A.G.); (E.S.); (C.G.); (R.R.B.); (P.A.K.); (M.W.H.)
- University of Zurich, 8006 Zurich, Switzerland
- Correspondence:
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Rocchiccioli S, Di Giorgi N, Michelucci E, Signore G, Scholte AJHA, Knuuti J, Buechel RR, Teresinska A, Pizzi MN, Roque A, Poddighe R, Parodi O, Pelosi G, Neglia D, Caselli C. A common plasma lipidomics signature of cardiometabolic and coronary risk in statin users. Cardiovasc Res 2022. [DOI: 10.1093/cvr/cvac066.091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – EU funding. Main funding source(s): European Commission in the H2020 program: Project SMARTool, “Simulation
Modeling of coronary ARTery disease: a tool for clinical decision support—SMARTool”
Background and aims
The coexistence of elevated plasma triglycerides (TG) and low high-density lipoprotein cholesterol (HDL-C) may contribute to the residual cardiometabolic risk of coronary artery disease (CAD) independently of total cholesterol and low-density lipoprotein cholesterol (LDL-C) absolute plasma levels [1]. Aim of this study is to assess whether a high TG/HDL-C ratio is characterized by a specific lipidomics signature in statin users and its relationship with the coronary risk score defined by coronary computed tomography angiography (CTA).
Methods
TG/HDL-C ratio was calculated in 132 patients (68.8±7.7 years, 85 males) with suspected or known CAD referred to coronary CTA and receiving statins treatment in the last 6.3 ± 1.4 years before enrolment. Patients were grouped according to TG/HDL-C ratio quartiles: IQ (≤1.694), IIQ (1.695-2.399), IIIQ (2.400-3.281), and IVQ (>3.282). Coronary CTA exams were analysed according to the modified 17-segment American Heart Association classification [2] and interpretable segments were visually assessed for degree of stenosis and plaque composition. A comprehensive coronary risk score (CTA score) [3], previously validated as predictor of adverse outcome, was calculated in each patient. Except for subjects with normal arteries (CTA score = 0), all patients were classified into 3 groups of CTA score severity: low (score < 5), intermediate (score 5-20) and high (score > 20) risk [4]. Patient-specific plasma targeted lipidomics was performed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). This approach allowed to quantify 69 circulating lipids encompassing six lipid classes (triacylglycerol [TG], phosphatidylcholine [PC], phosphatidylethanolamine [PE], ceramide [Cer], sphingomyelin [SM], cholesterol ester [CE]). Differential analysis was performed using TG/HDL-C and CTA score annotation.
Results
18 altered lipid species in the group with higher TG/HDL-C ratio were also altered in the group with higher CTA risk score. This common set of lipids is composed of CE(16:0), CE(18:0), PC(38:2), 8 SM [SM(34:2), SM(38:2), SM(41:2), SM(41:1), SM(42:4), SM(42:3), SM(42:1), SM(43:3)], TG(52:1) and 6 PE [PE(34:0), PE(34:1), PE(34:2), PE(36:1), PE(36:2), PE(36:3)], and represents the lipidomics signature associating elevated plasma TG/HDL-C ratio with high CTA risk score in statin users.
Conclusion
In patients with stable CAD under statin treatment, a specific pattern of altered lipids, characterized by reduced plasma levels of cholesterol esters and sphingomyelins and increased levels of triacylglicerols and phosphatidylethanolamines, is associated with high TG/HDL-C ratio and high CTA score. This specific lipidomic signature identifies patients with higher residual cardiometabolic and coronary risk, not tackled by current lipid lowering therapy, unveiling possible new molecular targets of treatment.
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Affiliation(s)
| | - N Di Giorgi
- Institute of Clinical Physiology of CNR , Pisa , Italy
| | - E Michelucci
- Institute of Clinical Physiology of CNR , Pisa , Italy
| | - G Signore
- University of Pisa, Department of Biology, Biochemistry Unit , Pisa , Italy
| | - AJHA Scholte
- Leiden University Medical Center, Department of Cardiology , Leiden , Netherlands (The)
| | - J Knuuti
- Turku PET Centre , Turku , Finland
| | - RR Buechel
- University Hospital Zurich, Department of Nuclear Medicine, Cardiac Imaging , Zurich , Switzerland
| | - A Teresinska
- National Institute of Cardiology , Warsaw , Poland
| | - MN Pizzi
- University Hospital Vall d'Hebron, Department of Cardiology , Barcelona , Spain
| | - A Roque
- University Hospital Vall d'Hebron, Department of Radiology , Barcelona , Spain
| | - R Poddighe
- USL Toscana Northwest, Cardiologia , Viareggio , Italy
| | - O Parodi
- Fondazione Toscana Gabriele Monasterio , Pisa , Italy
| | - G Pelosi
- Institute of Clinical Physiology of CNR , Pisa , Italy
| | - D Neglia
- Fondazione Toscana Gabriele Monasterio , Pisa , Italy
| | - C Caselli
- Institute of Clinical Physiology of CNR , Pisa , Italy
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42
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Bakula A, Patriki D, von Felten E, Benetos G, Sustar A, Benz DC, Wiedemann-Buser M, Treyer V, Pazhenkottil AP, Gräni C, Gebhard C, Kaufmann PA, Buechel RR, Fuchs TA. Splenic switch-off as a novel marker for adenosine response in nitrogen-13 ammonia PET myocardial perfusion imaging: Cross-validation against CMR using a hybrid PET/MR device. J Nucl Cardiol 2022; 29:1205-1214. [PMID: 33354759 PMCID: PMC9163112 DOI: 10.1007/s12350-020-02448-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 11/09/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND No methodology is available to distinguish truly reduced myocardial flow reserve (MFR) in positron emission tomography myocardial perfusion imaging (PET MPI) from seemingly impaired MFR due to inadequate adenosine response. The adenosine-induced splenic switch-off (SSO) sign has been proposed as a potential marker for adequate adenosine response in cardiac magnetic resonance (CMR). We assessed the feasibility of detecting SSO in nitrogen-13 ammonia PET MPI using SSO in CMR as the standard of reference. METHODS AND RESULTS Fifty patients underwent simultaneous CMR and PET MPI on a hybrid PET/MR device with co-injection of a gadolinium-based contrast agent and nitrogen-13 ammonia during rest and adenosine-induced stress. In CMR, SSO was assessed visually (positive vs negative SSO) and quantitatively by calculating the ratio of the peak signal intensity of the spleen during stress over rest (SIR). In PET MPI, the splenic signal activity ratio (SAR) was calculated as the maximal standard uptake value of the spleen during stress over rest. The median SIR was significantly lower in patients with positive versus negative SSO in CMR (0.57 [IQR 0.49 to 0.62] vs 0.89 [IQR 0.76 to 0.98]; P < .001). Similarly, median SAR in PET MPI was significantly lower in patients with positive versus negative SSO (0.40 [IQR 0.32 to 0.45] vs 0.80 [IQR 0.47 to 0.98]; P < .001). CONCLUSION Similarly to CMR, SSO can be detected in nitrogen-13 ammonia PET MPI. This might help distinguish adenosine non-responders from patients with truly impaired MFR due to microvascular dysfunction or multivessel coronary artery disease.
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Affiliation(s)
- Adam Bakula
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Georgios Benetos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Aleksandra Sustar
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Muriel Wiedemann-Buser
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Valerie Treyer
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
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Wieske V, Walther M, Dubourg B, Alkadhi H, Nørgaard BL, Meijs MFL, Diederichsen ACP, Wan YL, Mickley H, Nikolaou K, Shabestari AA, Halvorsen BA, Martuscelli E, Sun K, Herzog BA, Marcus RP, Leschka S, Garcia MJ, Ovrehus KA, Knuuti J, Mendoza-Rodriguez V, Bettencourt N, Muraglia S, Buechel RR, Kaufmann PA, Zimmermann E, Tardif JC, Budoff MJ, Schlattmann P, Dewey M. Correction to: Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium. Eur Radiol 2022; 32:8052-8053. [PMID: 35467114 DOI: 10.1007/s00330-022-08760-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Mario Walther
- Department of Fundamental Sciences, Jena University of Applied Sciences, Jena, Germany
| | - Benjamin Dubourg
- Cardiac Imaging Unit, Department of Radiology, Rouen University Hospital, Rouen, France
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | | | - Yung-Liang Wan
- Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Chang Gung Memorial Hospital at Linkou, Taoyaun City, Taiwan
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | - Abbas A Shabestari
- Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Kai Sun
- Department of Radiology, Baotou Central Hospital, Baotou, Inner Mongolia Province, China
| | | | - Roy P Marcus
- Cantonal Hospital of Lucerne, Lucerne, Switzerland
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Mario J Garcia
- Department of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, New York, NY, USA
| | | | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | | | - Nuno Bettencourt
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal
| | | | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | | | | | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
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Kamani CH, Huang W, Lutz J, Giannopoulos AA, Patriki D, von Felten E, Schwyzer M, Gebhard C, Benz DC, Fuchs TA, Gräni C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Impact of Adaptive Statistical Iterative Reconstruction-V on Coronary Artery Calcium Scores Obtained From Low-Tube-Voltage Computed Tomography - A Patient Study. Acad Radiol 2022; 29 Suppl 4:S11-S16. [PMID: 33187851 DOI: 10.1016/j.acra.2020.10.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 10/16/2020] [Accepted: 10/24/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To evaluate the impact of adaptive statistical iterative reconstruction-V (ASIR-V) on the accuracy of ultra-low-dose coronary artery calcium (CAC) scoring. MATERIALS AND METHOD One-hundred-and-three patients who underwent computed tomography (CT) for CAC scoring were prospectively included. All underwent standard scanning with 120-kilovolt-peak (kVp) and with 80- and 70-kVp tube voltage. ASiR-V was applied to the 80- and 70-kVp scans at different levels. The 120-kVp scans reconstructed with filtered back projection served as the standard of reference. Recently published novel kVp-adapted thresholds were used for calculation of CAC scores from 80- and 70-kVp scans and the resulting CAC scores were compared against the standard of reference. Patients were stratified into six CAC score risk categories: 0, 1-10, 11-100, 101-400, 401-1000, and >1000. RESULTS Increasing levels of ASIR-V led to an increasing underestimation of CAC scores with bias ranging from -128 to -118 and from -205 to -198 for the 80- and 70-kVp scans, respectively, when compared with the standard of reference. Reconstruction with 20% and 40% ASIR-V for the 80- and 70-kVp scans, respectively, yielded noise levels comparable to the standard of reference. Nevertheless, a change in risk-class was observed in 29 (28.6%) and 46 (44.7%) patients, exclusively to a lower risk-class, when CAC scores were derived from these reconstructions. CONCLUSION ASIR-V leads to noise reduction in CT scans acquired with low tube-voltages. However, ASIR-V introduces substantial inaccuracies and marked underestimation of ultra-low-dose CAC scoring as compared with standard-dose CAC scoring despite normalization of noise.
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Affiliation(s)
- Christel H Kamani
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Wenjie Huang
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Joel Lutz
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | | | - Dimitri Patriki
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Elia von Felten
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Moritz Schwyzer
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Catherine Gebhard
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Dominik C Benz
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Tobias A Fuchs
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Christoph Gräni
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | | | | | - Ronny R Buechel
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND.
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Wieske V, Walther M, Dubourg B, Alkadhi H, Nørgaard BL, Meijs MFL, Diederichsen ACP, Wan YL, Mickley H, Nikolaou K, Shabestari AA, Halvorsen BA, Martuscelli E, Sun K, Herzog BA, Marcus RP, Leschka S, Garcia MJ, Ovrehus KA, Knuuti J, Mendoza-Rodriguez V, Bettencourt N, Muraglia S, Buechel RR, Kaufmann PA, Zimmermann E, Tardif JC, Budoff MJ, Schlattmann P, Dewey M. Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium. Eur Radiol 2022; 32:5233-5245. [PMID: 35267094 PMCID: PMC9279219 DOI: 10.1007/s00330-022-08619-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/05/2022] [Accepted: 01/28/2022] [Indexed: 11/29/2022]
Abstract
Objectives There is conflicting evidence about the comparative diagnostic accuracy of the Agatston score versus computed tomography angiography (CTA) in patients with suspected obstructive coronary artery disease (CAD). Purpose To determine whether CTA is superior to the Agatston score in the diagnosis of CAD. Methods In total 2452 patients with stable chest pain and a clinical indication for invasive coronary angiography (ICA) for suspected CAD were included by the Collaborative Meta-analysis of Cardiac CT (COME-CCT) Consortium. An Agatston score of > 400 was considered positive, and obstructive CAD defined as at least 50% coronary diameter stenosis on ICA was used as the reference standard. Results Obstructive CAD was diagnosed in 44.9% of patients (1100/2452). The median Agatston score was 74. Diagnostic accuracy of CTA for the detection of obstructive CAD (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) was significantly higher than that of the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). Among patients with an Agatston score of zero, 17% (101/600) had obstructive CAD. Diagnostic accuracy of CTA was not significantly different in patients with low to intermediate (1 to < 100, 100–400) versus moderate to high Agatston scores (401–1000, > 1000). Conclusions Results in our international cohort show CTA to have significantly higher diagnostic accuracy than the Agatston score in patients with stable chest pain, suspected CAD, and a clinical indication for ICA. Diagnostic performance of CTA is not affected by a higher Agatston score while an Agatston score of zero does not reliably exclude obstructive CAD. Key Points • CTA showed significantly higher diagnostic accuracy (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) for diagnosis of coronary artery disease when compared to the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). • Diagnostic performance of CTA was not affected by increased amount of calcium and was not significantly different in patients with low to intermediate (1 to <100, 100–400) versus moderate to high Agatston scores (401–1000, > 1000). • Seventeen percent of patients with an Agatston score of zero showed obstructive coronary artery disease by invasive angiography showing absence of coronary artery calcium cannot reliably exclude coronary artery disease. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-022-08619-4.
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Affiliation(s)
- Viktoria Wieske
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Mario Walther
- Department of Fundamental Sciences, Jena University of Applied Sciences, Jena, Germany
| | - Benjamin Dubourg
- Cardiac Imaging Unit, Department of Radiology, Rouen University Hospital, Rouen, France
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | | | - Yung-Liang Wan
- Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Chang Gung Memorial Hospital at Linkou, Taoyaun City, Taiwan
| | - Hans Mickley
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany
| | - Abbas A Shabestari
- Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Kai Sun
- Department of Radiology, Baotou Central Hospital, Baotou, Inner Mongolia Province, China
| | | | - Roy P Marcus
- Cantonal Hospital of Lucerne, Lucerne, Switzerland
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Mario J Garcia
- Department of Cardiology, Montefiore, University Hospital for the Albert Einstein College of Medicine, New York, NY, USA
| | | | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | | | - Nuno Bettencourt
- Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia, Vila Nova de Gaia, Portugal
| | | | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Elke Zimmermann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | | | | | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
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Rampidis GP, Kampaktsis PΝ, Kouskouras K, Samaras A, Benetos G, Giannopoulos AΑ, Karamitsos T, Kallifatidis A, Samaras A, Vogiatzis I, Hadjimiltiades S, Ziakas A, Buechel RR, Gebhard C, Smilowitz NR, Toutouzas K, Tsioufis K, Prassopoulos P, Karvounis H, Reynolds H, Giannakoulas G. Role of cardiac CT in the diagnostic evaluation and risk stratification of patients with myocardial infarction and non-obstructive coronary arteries (MINOCA): rationale and design of the MINOCA-GR study. BMJ Open 2022; 12:e054698. [PMID: 35110321 PMCID: PMC8811605 DOI: 10.1136/bmjopen-2021-054698] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
INTRODUCTION Myocardial infarction with non-obstructive coronary arteries (MINOCA) occurs in 5%-15% of all patients with acute myocardial infarction. Cardiac MR (CMR) and optical coherence tomography have been used to identify the underlying pathophysiological mechanism in MINOCA. The role of cardiac CT angiography (CCTA) in patients with MINOCA, however, has not been well studied so far. CCTA can be used to assess atherosclerotic plaque volume, vulnerable plaque characteristics as well as pericoronary fat tissue attenuation, which has not been yet studied in MINOCA. METHODS AND ANALYSIS MINOCA-GR is a prospective, multicentre, observational cohort study based on a national registry that will use CCTA in combination with CMR and invasive coronary angiography (ICA) to evaluate the extent and characteristics of coronary atherosclerosis and its correlation with pericoronary fat attenuation in patients with MINOCA. A total of 60 consecutive adult patients across 4 participating study sites are expected to be enrolled. Following ICA and CMR, patients will undergo CCTA during index hospitalisation. The primary endpoints are quantification of extent and severity of coronary atherosclerosis, description of high-risk plaque features and attenuation profiling of pericoronary fat tissue around all three major epicardial coronary arteries in relation to CMR. Follow-up CCTA for the evaluation of changes in pericoronary fat attenuation will also be performed. MINOCA-GR aims to be the first study to explore the role of CCTA in combination with CMR and ICA in the underlying pathophysiological mechanisms and assisting in diagnostic evaluation and prognosis of patients with MINOCA. ETHICS AND DISSEMINATION The study protocol has been approved by the institutional review board/independent ethics committee at each site prior to study commencement. All patients will provide written informed consent. Results will be disseminated at national meetings and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT4186676.
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Affiliation(s)
- Georgios P Rampidis
- First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
- Cardiac Imaging Unit, Diagnostic Center "PANAGIA", Veroia, Greece
| | | | - Konstantinos Kouskouras
- Department of Radiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | - Athanasios Samaras
- First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | - Georgios Benetos
- First Department of Cardiology, Hippokration Hospital, Athens, Greece
| | - Andreas Α Giannopoulos
- Department of Nuclear Medicine - Cardiac Imaging Unit, University Hospital Zurich, Zurich, Switzerland
| | - Theodoros Karamitsos
- First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | | | - Antonios Samaras
- Department of Cardiology, General Hospital of Veroia, Veroia, Greece
| | - Ioannis Vogiatzis
- Department of Cardiology, General Hospital of Veroia, Veroia, Greece
| | - Stavros Hadjimiltiades
- First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | - Antonios Ziakas
- First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | - Ronny R Buechel
- Department of Nuclear Medicine - Cardiac Imaging Unit, University Hospital Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine - Cardiac Imaging Unit, University Hospital Zurich, Zurich, Switzerland
| | | | | | | | - Panagiotis Prassopoulos
- Department of Radiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | - Haralambos Karvounis
- First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
| | - Harmony Reynolds
- Sarah Ross Soter Center for Women's Cardiovascular Research, Leon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - George Giannakoulas
- First Department of Cardiology, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece
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von Felten E, Benz DC, Benetos G, Giannopoulos AA, Messerli M, Gräni C, Fuchs TA, Gebhard C, Buechel RR, Kaufmann PA, Pazhenkottil AP. Transluminal attenuation gradient derived from coronary CT angiography to predict ischemia in SPECT myocardial perfusion imaging: Effect of coronary cross-sectional area. J Nucl Cardiol 2022; 29:350-358. [PMID: 32613474 DOI: 10.1007/s12350-020-02242-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 06/08/2020] [Indexed: 01/16/2023]
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA)-based transluminal attenuation gradient (TAG) was suggested to determine the functional significance of a stenosis. However, evidence that TAG acquired by wide-volume scanners can assess the hemodynamic significance of stenosis assessed by single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is lacking. Moreover, coronary cross-sectional area may influence TAG. Hence, we aimed at assessing the diagnostic value of TAG to predict ischemia in SPECT-MPI and the correlation between TAG and the transluminal cross-sectional area gradient (TCG). METHODS Patients undergoing CCTA and SPECT-MPI for suspected coronary artery disease were included. TAG and TCG were calculated measuring the mean vessel attenuation and the cross-sectional area along major coronary vessels at 5-mm intervals. RESULTS A total of 255 coronary arteries of 87 patients were included. TAG and TCG did not discriminate between coronary arteries with or without ischemia as assessed by SPECT-MPI (p = .44 and p = .25, respectively). The area under the curve to predict ischemia was not increased by adding TAG (0.88, 95% CI 0.83-0.92) or TCG (0.87, 95% CI 0.81-0.90) to CCTA alone (0.85, 95% CI 0.80-0.89). There was a significant correlation between TAG and TCG (r = 0.43; p < .001). CONCLUSIONS CCTA-derived TAG and TCG do not offer any value in predicting ischemia assessed by SPECT-MPI. TAG is partly affected by differences in the coronary luminal area.
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Affiliation(s)
- Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Georgios Benetos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
- Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
- Department of Cardiology, University Hospital Zurich, Zurich, Switzerland.
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Benz DC, Buechel RR, Dorbala S. (18)F-sodium fluoride PET in multiple myeloma: Linking cancer to atherosclerosis? J Nucl Cardiol 2021; 28:3055-3057. [PMID: 33398792 DOI: 10.1007/s12350-020-02447-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 09/09/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
- Department of Cardiology, University Heart Centre, University Hospital Zurich, Zurich, Switzerland.
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Sharmila Dorbala
- Amyloidosis Program, Division of Cardiology, Department of Medicine, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Cardiovascular Division, Department of Radiology, CV Imaging Program, Brigham and Women's Hospital, Boston, MA, USA
- Division of Nuclear Medicine, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
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49
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Benz DC, Ersözlü S, Mojon FLA, Messerli M, Mitulla AK, Ciancone D, Kenkel D, Schaab JA, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography. Eur Radiol 2021; 32:2620-2628. [PMID: 34792635 PMCID: PMC8921160 DOI: 10.1007/s00330-021-08367-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/20/2021] [Accepted: 09/28/2021] [Indexed: 11/29/2022]
Abstract
Objectives Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image noise without degrading image quality or diagnostic accuracy in coronary CT angiography (CCTA). The present study aimed at exploiting the capabilities of DLIR to reduce radiation dose and assess its impact on stenosis severity, plaque composition analysis, and plaque volume quantification. Methods This prospective study includes 50 patients who underwent two sequential CCTA scans at normal-dose (ND) and lower-dose (LD). ND scans were reconstructed with Adaptive Statistical Iterative Reconstruction-Veo (ASiR-V) 100%, and LD scans with DLIR. Image noise (in Hounsfield units, HU) and quantitative plaque volumes (in mm3) were assessed quantitatively. Stenosis severity was visually categorized into no stenosis (0%), stenosis (< 20%, 20–50%, 51–70%, 71–90%, 91–99%), and occlusion (100%). Plaque composition was classified as calcified, non-calcified, or mixed. Results Reduction of radiation dose from ND scans with ASiR-V 100% to LD scans with DLIR at the highest level (DLIR-H; 1.4 mSv vs. 0.8 mSv, p < 0.001) had no impact on image noise (28 vs. 27 HU, p = 0.598). Reliability of stenosis severity and plaque composition was excellent between ND scans with ASiR-V 100% and LD scans with DLIR-H (intraclass correlation coefficients of 0.995 and 0.974, respectively). Comparison of plaque volumes using Bland–Altman analysis revealed a mean difference of − 0.8 mm3 (± 2.5 mm3) and limits of agreement between − 5.8 and + 4.1 mm3. Conclusion DLIR enables a reduction in radiation dose from CCTA by 43% without significant impact on image noise, stenosis severity, plaque composition, and quantitative plaque volume. Key Points •Deep-learning image reconstruction (DLIR) enables radiation dose reduction by over 40% for coronary computed tomography angiography (CCTA). •Image noise remains unchanged between a normal-dose CCTA reconstructed by ASiR-V and a lower-dose CCTA reconstructed by DLIR. •There is no impact on the assessment of stenosis severity, plaque composition, and quantitative plaque volume between the two scans. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-021-08367-x.
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Affiliation(s)
- Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Sara Ersözlü
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - François L A Mojon
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Anna K Mitulla
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Domenico Ciancone
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - David Kenkel
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Jan A Schaab
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, CH-8091, Zurich, Switzerland.
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Gimelli A, Pugliese NR, Buechel RR, Bertasi M, Coceani M, Marzullo P. Changes in left ventricle myocardial volume during stress test using cadmium-zinc-telluride cardiac imaging: Implications in coronary artery disease. J Nucl Cardiol 2021; 28:1623-1633. [PMID: 31650497 DOI: 10.1007/s12350-019-01930-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 09/28/2019] [Accepted: 09/30/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Cadmium-zinc-telluride (CZT) SPECT allows the estimation of left ventricle myocardial volume (LVMV). We tested the clinical relevance of rest-stress LVMV changes (Δ LVMV) in detecting coronary artery disease (CAD, coronary stenosis > 70%), using CZT-SPECT. METHODS We prospectively enrolled 512 consecutive patients with known or suspected CAD (mean age: 70.3 ± 9.2 years, 72% male) for stress-rest myocardial perfusion imaging (MPI, single-day stress-rest protocol). We quantified summed stress scores (SSS), summed rest scores, and summed difference scores, together with LVMV and ejection fraction (EF) after stress and at rest. All patients underwent coronary angiography within 30 days. RESULTS Two hundred seventy-two patients had CAD at coronary angiography. ΔLVMV ≤ 5 mL, corresponding to 6% of change from rest LVMV, was the best predictor of CAD (AUC = 0.831, 79% sensitivity, 82% specificity), irrespective of the stress protocol (dipyridamole or exercise stress) and independently of MPI-SSS, LV EF, and clinical history (P = 0.004). Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were significant for the addition of ΔLVMV ≤ 5 mL (IDI = 6.1%, P < 0.0001; NRI = 29.7%, P = 0.02) to MPI-SSS, whereas the other parameters were not. CONCLUSIONS The evaluation of ΔLVMV using CZT-SPECT can improve the diagnostic accuracy in predicting the presence of CAD when added to conventional MPI.
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Affiliation(s)
| | - Nicola Riccardo Pugliese
- Department of Clinical and Experimental Medicine, University of Pisa, Fondazione CNR/Regione Toscana "Gabriele Monasterio", via Moruzzi n.1, 56124, Pisa, Italy.
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | | | | | - Paolo Marzullo
- Fondazione Toscana G. Monasterio, Pisa, Italy
- CNR, Institute of Clinical Physiology, Pisa, Italy
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