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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 2024; 86:216-226. [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] [MESH Headings] [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 of 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 functions 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 = -0.30, p = .025), endothelium-dependent coronary flow reserve ( r partial = -0.26, p = .062), MBF response ( r partial = -0.30, p = .028), and hyperemic MBF ( r partial = -0.34, 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
- From the Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine (von Känel, Princip, Holzgang, Zuccarella-Hackl, Pazhenkottil), Cardiac Imaging, Department of Nuclear Medicine (Rossi, Giannopoulos, Buechel, Pazhenkottil), and Department of Cardiology (Pazhenkottil), 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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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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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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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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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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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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Giannopoulos AA, Tan TC. Three-dimensional models for coronary artery fistulas: to print, or not to print-that is the question. Eur Heart J Case Rep 2024; 8:ytae069. [PMID: 38374986 PMCID: PMC10875926 DOI: 10.1093/ehjcr/ytae069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Affiliation(s)
- Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Raemistrasse 100, CH-8091, Switzerland
| | - Timothy C Tan
- Department of Cardiology, Blacktown Hospital, University of Western Sydney, Blacktown Road, Blacktown, NSW 2148, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Kensington, NSW 2052, Australia
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Weichsel L, Giesen A, André F, Renker M, Baumann S, Breitbart P, Beer M, Maurovitch-Horvat P, Szilveszter B, Vattay B, Buss SJ, Marwan M, Giannopoulos AA, Kelle S, Frey N, Korosoglou G. Comparison of Two Contemporary Quantitative Atherosclerotic Plaque Assessment Tools for Coronary Computed Tomography Angiography: Single-Center Analysis and Multi-Center Patient Cohort Validation. Diagnostics (Basel) 2024; 14:154. [PMID: 38248031 PMCID: PMC10814854 DOI: 10.3390/diagnostics14020154] [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: 12/10/2023] [Revised: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA) provides non-invasive quantitative assessments of plaque burden and composition. The quantitative assessment of plaque components requires the use of analysis software that provides reproducible semi-automated plaque detection and analysis. However, commercially available plaque analysis software can vary widely in the degree of automation, resulting in differences in terms of reproducibility and time spent. AIM To compare the reproducibility and time spent of two CCTA analysis software tools using different algorithms for the quantitative assessment of coronary plaque volumes and composition in two independent patient cohorts. METHODS The study population included 100 patients from two different cohorts: 50 patients from a single-center (Siemens Healthineers, SOMATOM Force (DSCT)) and another 50 patients from a multi-center study (5 different > 64 slice CT scanner types). Quantitative measurements of total calcified and non-calcified plaque volume of the right coronary artery (RCA), left anterior descending (LAD), and left circumflex coronary artery (LCX) were performed on a total of 300 coronaries by two independent readers, using two different CCTA analysis software tools (Tool #1: Siemens Healthineers, syngo.via Frontier CT Coronary Plaque Analysis and Tool #2: Siemens Healthineers, successor CT Coronary Plaque Analysis prototype). In addition, the total time spent for the analysis was recorded with both programs. RESULTS The patients in cohorts 1 and 2 were 62.8 ± 10.2 and 70.9 ± 11.7 years old, respectively, 10 (20.0%) and 35 (70.0%) were female and 34 (68.0%) and 20 (40.0%), respectively, had hyperlipidemia. In Cohort #1, the inter- and intra-observer variabilities for the assessment of plaque volumes per patient for Tool #1 versus Tool #2 were 22.8%, 22.0%, and 26.0% versus 2.3%, 3.9%, and 2.5% and 19.7%, 21.4%, and 22.1% versus 0.2%, 0.1%, and 0.3%, respectively, for total, noncalcified, and calcified lesions (p < 0.001 for all between Tools #1 and 2 both for inter- and intra-observer). The inter- and intra-observer variabilities using Tool #2 remained low at 2.9%, 2.7%, and 3.0% and 3.8%, 3.7%, and 4.0%, respectively, for total, non-calcified, and calcified lesions in Cohort #2. For each dataset, the median processing time was higher for Tool #1 versus Tool #2 (459.5 s IQR = 348.0-627.0 versus 208.5 s; IQR = 198.0-216.0) (p < 0.001). CONCLUSION The plaque analysis Tool #2 (CT-guided PCI) encompassing a higher degree of automated support required less manual editing, was more time-efficient, and showed a higher intra- and inter-observer reproducibility for the quantitative assessment of plaque volumes both in a representative single-center and in a multi-center validation cohort.
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Affiliation(s)
- Loris Weichsel
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, 69469 Weinheim, Germany; (L.W.); (A.G.)
- Cardiac Imaging Center Weinheim, Hector Foundations, 69469 Weinheim, Germany
| | - Alexander Giesen
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, 69469 Weinheim, Germany; (L.W.); (A.G.)
- Cardiac Imaging Center Weinheim, Hector Foundations, 69469 Weinheim, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, 69120 Heidelberg, Germany; (F.A.); (N.F.)
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, 69120 Heidelberg, Germany
| | - Matthias Renker
- Department of Cardiology, Campus Kerckhoff, Justus Liebig University Giessen, 61231 Bad Nauheim, Germany;
- DZHK (German Centre for Cardiovascular Research), Partner Site Rhein Main, 61231 Bad Nauheim, Germany
| | - Stefan Baumann
- Department of Cardiology, District Hospital Bergstraße, 64646 Heppenheim, Germany;
- First Department of Medicine-Cardiology, University Medical Center Mannheim, 68167 Mannheim, Germany
| | - Philipp Breitbart
- Department of Cardiology and Angiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79189 Bad Krozingen, Germany;
| | - Meinrad Beer
- Department for Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany;
| | - Pal Maurovitch-Horvat
- Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (P.M.-H.); (B.S.); (B.V.)
| | - Bálint Szilveszter
- Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (P.M.-H.); (B.S.); (B.V.)
| | - Borbála Vattay
- Heart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary; (P.M.-H.); (B.S.); (B.V.)
| | | | - Mohamed Marwan
- Department of Cardiology, University of Erlangen, 91054 Erlangen, Germany;
| | - Andreas A. Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, 8091 Zurich, Switzerland;
| | - Sebastian Kelle
- Deutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Charité-University Medicine Berlin, 10117 Berlin, Germany;
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University of Heidelberg, 69120 Heidelberg, Germany; (F.A.); (N.F.)
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, 69120 Heidelberg, Germany
| | - Grigorios Korosoglou
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, 69469 Weinheim, Germany; (L.W.); (A.G.)
- Cardiac Imaging Center Weinheim, Hector Foundations, 69469 Weinheim, Germany
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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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11
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Giesen A, Mouselimis D, Weichsel L, Giannopoulos AA, Schmermund A, Nunninger M, Schuetz M, André F, Frey N, Korosoglou G. Pericoronary adipose tissue attenuation is associated with non-calcified plaque burden in patients with chronic coronary syndromes. J Cardiovasc Comput Tomogr 2023; 17:384-392. [PMID: 37659885 DOI: 10.1016/j.jcct.2023.08.008] [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: 04/30/2023] [Revised: 07/28/2023] [Accepted: 08/18/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Pericoronary adipose tissue attenuation (PCAT) is a marker of inflammation of the pericoronary fat tissue, which can be assessed by coronary computed tomography angiography (CCTA). Its prognostic value was reported in previous studies. Nevertheless, the relationship between PCAT, plaque burden and coronary artery disease (CAD) severity, are not well defined. AIM We sought to evaluate the relationship between PCAT, CAD severity based on the CAD-RADS 2.0 score and plaque burden in patients with chronic coronary syndrome (CCS). METHODS Consecutive patients with a clinical indication for CCTA due to suspected or known CCS were included in our study. PCAT was measured in the proximal 4 cm of each of the right coronary artery (RCA), left anterior descending artery (LAD), and the left circumflex artery (LCX). The CAD-RADS 2.0 score was assessed in all patients and total, calcified, and non-calcified plaque burden was quantitatively measured. RESULTS 868 patients (median age of 67.0 (IQR = 58.0-75.0)yrs., 400 (46.1%) female) underwent CCTA between September 2020 and August 2022 due to CCS. Weak correlations were found between PCAT and the total plaque burden, as well as with the Agatston score, whereas no correlations were found between PCAT and CAD-RADS 2.0 score. Associations were also observed between the PCAT of the LAD, RCA and LCX with non-calcified plaque burden (Odds ratios of 1.22 (95%CI = 1.15-1.29), 1.11 (95%CI = 1.07-1.17) and 1.14 (95%CI = 1.08-1.14), respectively, p < 0.001 for all) which were independent of age, the Agatston score, and the CAD-RADS 2.0 score). In addition, higher PCAT were noticed with increasing number of plaques, exhibiting high-risk features per patient (p < 0.05 by ANOVA for all). CONCLUSION PCAT exhibits significant associations with non-calcified plaque burden and plaques with high-risk features in patients undergoing CCTA for CCS. Thus, PCAT may identify high-risk patients who could benefit from more aggressive preventive therapy, which merits further investigation in future studies.
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Affiliation(s)
- Alexander Giesen
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, Weinheim, Germany; Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany
| | - Dimitrios Mouselimis
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, Weinheim, Germany; Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany
| | - Loris Weichsel
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, Weinheim, Germany; Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Zurich, Switzerland
| | - Axel Schmermund
- CCB Hospital, Department of Cardiology and Vascular Medicine, Frankfurt, Germany
| | - Max Nunninger
- Radiology Practice, GRN Hospital Weinheim, Weinheim, Germany
| | - Moritz Schuetz
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, Weinheim, Germany; Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany
| | - Florian André
- University Hospital Heidelberg, Cardiology, Angiology & Pneumology, Heidelberg, Germany
| | - Norbert Frey
- University Hospital Heidelberg, Cardiology, Angiology & Pneumology, Heidelberg, Germany
| | - Grigorios Korosoglou
- GRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, Weinheim, Germany; Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany.
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12
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Mézquita AJV, Biavati F, Falk V, Alkadhi H, Hajhosseiny R, Maurovich-Horvat P, Manka R, Kozerke S, Stuber M, Derlin T, Channon KM, Išgum I, Coenen A, Foellmer B, Dey D, Volleberg RHJA, Meinel FG, Dweck MR, Piek JJ, van de Hoef T, Landmesser U, Guagliumi G, Giannopoulos AA, Botnar RM, Khamis R, Williams MC, Newby DE, Dewey M. Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group. Nat Rev Cardiol 2023; 20:696-714. [PMID: 37277608 DOI: 10.1038/s41569-023-00880-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2023] [Indexed: 06/07/2023]
Abstract
The detection and characterization of coronary artery stenosis and atherosclerosis using imaging tools are key for clinical decision-making in patients with known or suspected coronary artery disease. In this regard, imaging-based quantification can be improved by choosing the most appropriate imaging modality for diagnosis, treatment and procedural planning. In this Consensus Statement, we provide clinical consensus recommendations on the optimal use of different imaging techniques in various patient populations and describe the advances in imaging technology. Clinical consensus recommendations on the appropriateness of each imaging technique for direct coronary artery visualization were derived through a three-step, real-time Delphi process that took place before, during and after the Second International Quantitative Cardiovascular Imaging Meeting in September 2022. According to the Delphi survey answers, CT is the method of choice to rule out obstructive stenosis in patients with an intermediate pre-test probability of coronary artery disease and enables quantitative assessment of coronary plaque with respect to dimensions, composition, location and related risk of future cardiovascular events, whereas MRI facilitates the visualization of coronary plaque and can be used in experienced centres as a radiation-free, second-line option for non-invasive coronary angiography. PET has the greatest potential for quantifying inflammation in coronary plaque but SPECT currently has a limited role in clinical coronary artery stenosis and atherosclerosis imaging. Invasive coronary angiography is the reference standard for stenosis assessment but cannot characterize coronary plaques. Finally, intravascular ultrasonography and optical coherence tomography are the most important invasive imaging modalities for the identification of plaques at high risk of rupture. The recommendations made in this Consensus Statement will help clinicians to choose the most appropriate imaging modality on the basis of the specific clinical scenario, individual patient characteristics and the availability of each imaging modality.
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Affiliation(s)
| | - Federico Biavati
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Volkmar Falk
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany
- Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Pál Maurovich-Horvat
- Department of Radiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary
| | - Robert Manka
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, ETH Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Stuber
- Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Thorsten Derlin
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Keith M Channon
- Radcliffe Department of Medicine, University of Oxford and Oxford University Hospitals, Oxford, UK
| | - Ivana Išgum
- Department of Biomedical Engineering and Physics, Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Adriaan Coenen
- Department of Radiology, Erasmus University, Rotterdam, Netherlands
| | - Bernhard Foellmer
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Damini Dey
- Departments of Biomedical Sciences and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Rick H J A Volleberg
- Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Felix G Meinel
- Department of Radiology, University Medical Centre Rostock, Rostock, Germany
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jan J Piek
- Department of Clinical and Experimental Cardiology and Cardiovascular Sciences, Amsterdam UMC, Heart Center, University of Amsterdam, Amsterdam, Netherlands
| | - Tim van de Hoef
- Department of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ulf Landmesser
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany
- Department of Cardiology, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Giulio Guagliumi
- Division of Cardiology, IRCCS Galeazzi Sant'Ambrogio Hospital, Milan, Italy
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Ramzi Khamis
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany.
- Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany.
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13
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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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14
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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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15
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Stark AW, Giannopoulos AA, Pugachev A, Shiri I, Haeberlin A, Räber L, Obrist D, Gräni C. Application of Patient-Specific Computational Fluid Dynamics in Anomalous Aortic Origin of Coronary Artery: A Systematic Review. J Cardiovasc Dev Dis 2023; 10:384. [PMID: 37754814 PMCID: PMC10532130 DOI: 10.3390/jcdd10090384] [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] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/28/2023] Open
Abstract
Anomalous aortic origin of a coronary artery (AAOCA) is a rare congenital heart condition with fixed and dynamic stenotic elements, potentially causing ischemia. Invasive coronary angiography under stress is the established method for assessing hemodynamics in AAOCA, yet it is costly, technically intricate, and uncomfortable. Computational fluid dynamics (CFD) simulations offer a noninvasive alternative for patient-specific hemodynamic analysis in AAOCA. This systematic review examines the role of CFD simulations in AAOCA, encompassing patient-specific modeling, noninvasive imaging-based boundary conditions, and flow characteristics. Screening articles using AAOCA and CFD-related terms prior to February 2023 yielded 19 publications, covering 370 patients. Over the past four years, 12 (63%) publications (259 patients) employed dedicated CFD models, whereas 7 (37%) publications (111 patients) used general-purpose CFD models. Dedicated CFD models were validated for fixed stenosis but lacked dynamic component representation. General-purpose CFD models exhibited variability and limitations, with fluid-solid interaction models showing promise. Interest in CFD modeling of AAOCA has surged recently, mainly utilizing dedicated models. However, these models inadequately replicate hemodynamics, necessitating novel CFD approaches to accurately simulate pathophysiological changes in AAOCA under stress conditions.
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Affiliation(s)
- Anselm W. Stark
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland; (A.W.S.); (I.S.); (A.H.); (L.R.)
| | - Andreas A. Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, 8091 Zurich, Switzerland;
| | | | - Isaac Shiri
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland; (A.W.S.); (I.S.); (A.H.); (L.R.)
| | - Andreas Haeberlin
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland; (A.W.S.); (I.S.); (A.H.); (L.R.)
| | - Lorenz Räber
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland; (A.W.S.); (I.S.); (A.H.); (L.R.)
| | - Dominik Obrist
- ARTORG Center for Biomedical Engineering Research, Faculty of Medicine, University of Bern, 3008 Bern, Switzerland;
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland; (A.W.S.); (I.S.); (A.H.); (L.R.)
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16
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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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17
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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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18
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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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19
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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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20
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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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21
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Bigler MR, Stark AW, Giannopoulos AA, Huber AT, Siepe M, Kadner A, Räber L, Gräni C. Coronary CT FFR vs Invasive Adenosine and Dobutamine FFR in a Right Anomalous Coronary Artery. JACC Case Rep 2022; 4:929-933. [PMID: 35935159 PMCID: PMC9350890 DOI: 10.1016/j.jaccas.2022.06.009] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/27/2022] [Accepted: 06/06/2022] [Indexed: 11/29/2022]
Abstract
We present the management of an anomalous coronary artery originating from the opposite sinus of Valsalva with comprehensive diagnostic workup including noninvasive coronary computed tomography (CT) derived fractional flow reserve (FFR) and invasive dobutamine-volume challenge-FFR/intravascular ultrasound. After surgical operation, treatment success was quantified by anatomical and functional analysis in postoperative CT. (Level of Difficulty: Advanced.)
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Affiliation(s)
- Marius R. Bigler
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anselm W. Stark
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas A. Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Cardiology Department, University Hospital Zurich, Zurich, Switzerland
| | - Adrian T. Huber
- Department of Radiology, Inselspital, University Hospital, University of Bern, Bern, Switzerland
| | - Matthias Siepe
- Department of Cardiovascular Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Alexander Kadner
- Department of Cardiovascular Surgery, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Lorenz Räber
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Address for correspondence: Dr. Christoph Gräni, Department of Cardiology, University Hospital Bern, Freiburgstrasse 18, 3010 Bern, Switzerland.
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22
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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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23
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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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24
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Benetos G, Giannopoulos AA. Myocardial perfusion imaging in cardiac sarcoidosis: A "sine qua non" for prognosis assessment? J Nucl Cardiol 2021; 28:1757-1759. [PMID: 31792915 DOI: 10.1007/s12350-019-01964-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Accepted: 11/11/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Georgios Benetos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
- Cardiology Department, University Hospital Zurich, Zurich, Switzerland.
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25
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Markendorf S, Benz DC, Messerli M, Grossmann M, Giannopoulos AA, Patriki D, Fuchs TA, Gräni C, Pazhenkottil AP, Buechel RR, Kaufmann PA, Gaemperli O. Value of 12-lead electrocardiogram to predict myocardial scar on FDG PET in heart failure patients. J Nucl Cardiol 2021; 28:1364-1373. [PMID: 31399902 DOI: 10.1007/s12350-019-01841-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 02/19/2019] [Accepted: 07/17/2019] [Indexed: 12/28/2022]
Abstract
PURPOSE A surface 12-lead electrocardiogram (ECG) is widely available, fast, inexpensive, and safe. However, its value to predict a true myocardial scar in patients with ischemic cardiomyopathy (ICM) has not been studied extensively yet. This study was conducted to assess whether Q waves on resting surface 12-lead ECG are predictive of non-viable myocardium in patients with ICM. METHODS We analyzed resting ECGs of 149 patients with ICM undergoing cardiac positron emission tomography (PET) with 13N-ammonia (NH3) and 18F-fluorodeoxyglucose (FDG) at our institution. Pathological Q waves and QS complexes were assigned to one of three coronary artery territories and compared to the PET findings. Myocardial scar was defined as 2 or more contiguous myocardial segments with an average (matched) reduction of NH3 and FDG uptake <50% of the maximum value. RESULTS Pathological Q waves had a sensitivity and specificity of 70% and 40%, respectively, and a PPV and NPV of 37% and 73%, respectively, to detect myocardial scar on FDG PET. For QS complexes, sensitivity and specificity were 46% and 59%, respectively, and PPV and NPV were 36% and 68%, respectively. Sensitivity was lower, but specificity was significantly higher in both the LCX and RCA compared to the LAD territory (p<0.001), particularly for QS complexes. CONCLUSION Pathological Q waves on resting 12-lead ECG have poor or at best moderate sensitivity and specificity to detect myocardial scar on FDG PET. These findings support the use of more advanced imaging techniques to assess myocardial viability in ICM.
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Affiliation(s)
- Susanne Markendorf
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland.
| | - Dominik C Benz
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Michael Messerli
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Marvin Grossmann
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Dimitri Patriki
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Tobias A Fuchs
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
| | - Oliver Gaemperli
- Cardiac Imaging, Nuclear Medicine Department, University Hospital Zurich, Zurich, Switzerland
- HeartClinic Hirslanden, Witellikerstrasse 40, 8032, Zurich, Switzerland
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26
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von Felten E, Benz DC, Benetos G, Baehler J, Patriki D, Rampidis GP, Giannopoulos AA, Bakula A, Gräni C, Pazhenkottil AP, Gebhard C, Fuchs TA, Kaufmann PA, Buechel RR. Prognostic value of regional myocardial flow reserve derived from 13N-ammonia positron emission tomography in patients with suspected coronary artery disease. Eur J Nucl Med Mol Imaging 2021; 49:311-320. [PMID: 34191100 PMCID: PMC8712296 DOI: 10.1007/s00259-021-05459-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 12/30/2020] [Accepted: 06/09/2021] [Indexed: 11/30/2022]
Abstract
Purpose To assess the prognostic value of regional quantitative myocardial flow measures as assessed by 13N-ammonia positron emission tomography (PET) myocardial perfusion imaging (MPI) in patients with suspected coronary artery disease (CAD). Methods We retrospectively included 150 consecutive patients with suspected CAD who underwent clinically indicated 13 N-ammonia PET-MPI and who did not undergo revascularization within 90 days of PET-MPI. The presence or absence of a decreased global myocardial flow reserve (i.e., MFR < 2) as well as decreased regional MFR (i.e., ≥ 2 adjacent segments with MFR < 2) was recorded, and patients were classified as having preserved global and regional MFR (MFR group 1), preserved global but decreased regional MFR (MFR group 2), or decreased global and regional MFR (MFR group 3). We obtained follow-up regarding major adverse cardiac events (MACE, i.e., a combined endpoint including all-cause death, non-fatal myocardial infarction, and late revascularization) and all-cause death. Results Over a median follow-up of 50 months (IQR 38–103), 30 events occurred in 29 patients. Kaplan–Meier analysis showed significantly reduced event-free and overall survival in MFR groups 2 and 3 compared to MFR group 1 (log-rank: p = 0.015 and p = 0.013). In a multivariable Cox regression analysis, decreased regional MFR was an independent predictor for MACE (adjusted HR 3.44, 95% CI 1.17–10.11, p = 0.024) and all-cause death (adjusted HR 4.72, 95% CI 1.07–20.7, p = 0.04). Conclusions A decreased regional MFR as assessed by 13 N-ammonia PET-MPI confers prognostic value by identifying patients at increased risk for future adverse cardiac outcomes and all-cause death. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05459-0.
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Affiliation(s)
- Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Georgios Benetos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Jessica Baehler
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Georgios P Rampidis
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Adam Bakula
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistr. 100, CH-8091, Zurich, Switzerland.
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27
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Giannopoulos AA, Pazhenkottil AP. Innervation imaging to guide ventricular arrhythmia ablation. J Nucl Cardiol 2021; 28:184-186. [PMID: 30719658 DOI: 10.1007/s12350-019-01632-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: 01/24/2019] [Accepted: 01/24/2019] [Indexed: 10/27/2022]
Affiliation(s)
- Andreas A Giannopoulos
- Cardiac Imaging, Department of Cardiology and Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Cardiac Imaging, Department of Cardiology and Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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28
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Benz DC, Ferro P, Safa N, Messerli M, von Felten E, Huang W, Patriki D, Giannopoulos AA, Fuchs TA, Gräni C, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Role of quantitative myocardial blood flow and 13N-ammonia washout for viability assessment in ischemic cardiomyopathy. J Nucl Cardiol 2021; 28:263-273. [PMID: 30895563 DOI: 10.1007/s12350-019-01684-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 12/14/2018] [Accepted: 03/01/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE Positron emission tomography (PET) integrating assessment of perfusion with 13N-ammonia (NH3) and viability with 18F-fluorodeoxyglucose (FDG) has high accuracy to identify viable, hibernating myocardium. We tested whether quantification of myocardial blood flow (MBF) and washout (k2) can predict myocardial viability using FDG as standard of reference. METHODS In 180 consecutive patients with ischemic cardiomyopathy, myocardium was categorized on a segment-level into normal, ischemic, hibernating, and scar. From dynamic images, stress MBF, rest MBF, and k2 were derived and myocardial flow reserve (MFR) and volume of distribution (VD) were calculated. RESULTS Across myocardial tissues, all parameters differed significantly. The area under the curve (AUC) was 0.564 (95% CI 0.527-0.601), 0.635 (0.599-0.671), 0.553 (0.516-0.591), 0.520 (0.482-0.559), and 0.560 (0.522-0.597) for stress MBF, rest MBF, MFR, k2, and VD. The generalized linear mixed model correctly classified 81% of scar as viable, hibernating myocardium. If the threshold of rest MBF to predict viability was set to 0.45 mL·min-1·g-1, sensitivity and specificity were 96% and 12%, respectively. CONCLUSION Quantitative NH3 PET parameters have low to moderate diagnostic performance to predict viability in ischemic cardiomyopathy. However, if rest MBF falls below 0.45 mL·min-1·g-1, viability testing by FDG-PET may be safely deferred.
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Affiliation(s)
- Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Paola Ferro
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Nico Safa
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- 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
| | - Wenjie Huang
- 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
| | - Andreas A Giannopoulos
- 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
| | - 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
| | - Aju P Pazhenkottil
- 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.
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29
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Kumar A, Giannopoulos AA, Chatzizisis YS. The stenotic vulnerable plaque: Identifying the substrate of acute coronary syndromes. Atherosclerosis 2021; 320:95-97. [PMID: 33568265 DOI: 10.1016/j.atherosclerosis.2021.01.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 01/26/2021] [Accepted: 01/28/2021] [Indexed: 11/24/2022]
Affiliation(s)
- Arnav Kumar
- Andreas Gruentzig Cardiovascular Center, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, And Cardiology Department, University Hospital Zurich, Switzerland
| | - Yiannis S Chatzizisis
- Cardiovascular Biology and Biomechanics Laboratory, Cardiovascular Division, University of Nebraska Medical Center, Omaha, NE, USA
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30
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Benetos G, Benz DC, Rampidis GP, Giannopoulos AA, von Felten E, Bakula A, Sustar A, Fuchs TA, Pazhenkottil AP, Gebhard C, Kaufmann PA, Gräni C, Buechel RR. Coronary artery lumen volume index as a marker of flow-limiting atherosclerosis-validation against 13N-ammonia positron emission tomography. Eur Radiol 2021; 31:5116-5126. [PMID: 33454800 PMCID: PMC8213544 DOI: 10.1007/s00330-020-07586-y] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/02/2020] [Accepted: 12/01/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Coronary artery volume indexed to left myocardial mass (CAVi), derived from coronary computed tomography angiography (CCTA), has been proposed as an indicator of diffuse atherosclerosis. We investigated the association of CAVi with quantitative flow parameters and its ability to predict ischemia as derived from 13N-ammonia positron emission tomography myocardial perfusion imaging (PET-MPI). METHODS Sixty patients who underwent hybrid CCTA/PET-MPI due to suspected CAD were retrospectively included. CAVi was defined as total coronary artery lumen volume over myocardial mass, both derived from CCTA. From PET-MPI, quantitative stress and rest myocardial blood flow (MBF) and myocardial flow reserve (MFR) were obtained and correlated with CAVi, and semi-quantitative perfusion images were analyzed for the presence of ischemia. Harrell's c-statistic and net reclassification improvement (NRI) analysis were performed to evaluate the incremental value of CAVi over the CCTA model (i.e., stenosis > 50% and > 70%). RESULTS CAVi correlated moderately with stress MBF and MFR (R = 0.50, p < 0.001, and R = 0.39, p = 0.002). Mean stress MBF and MFR were lower in patients with low (i.e., ≤ 20.2 mm3/g, n = 24) versus high (i.e., > 20.2 mm3/g, n = 36) CAVi (p < 0.001 for both comparisons). CAVi was independently associated with abnormal stress MBF (OR 0.90, 95% CI 0.82-0.998, p = 0.045). CAVi increased the predictive ability of the CCTA model for abnormal stress MBF and ischemia (c-statistic 0.763 versus 0.596, pdiff < 0.05 and 0.770 versus 0.645, pdiff < 0.05, NRI 0.84, p = 0.001 and 0.96, p < 0.001, respectively). CONCLUSIONS CAVi exhibits incremental value to predict both abnormal stress MBF and ischemia over CCTA alone. KEY POINTS • Coronary artery volume indexed to left myocardial mass (CAVi), derived from coronary computed tomography angiography (CCTA), is correlated with myocardial blood flow indices derived from 13N-ammonia positron emission tomography myocardial perfusion imaging. • CAVi is independently associated with abnormal stress myocardial blood flow. • CAVi provides incremental diagnostic value over CCTA for both abnormal stress MBF and ischemia.
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Affiliation(s)
- Georgios Benetos
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Georgios P Rampidis
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Adam Bakula
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Aleksandra Sustar
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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Patriki D, von Felten E, Bakula A, Giannopoulos AA, Kamani CH, Schwyzer M, Messerli M, Benz DC, Gebhard C, Gräni C, Pazhenkottil AP, Kaufmann PA, Fuchs TA, Buechel RR. Splenic switch-off as a predictor for coronary adenosine response: validation against 13N-ammonia during co-injection myocardial perfusion imaging on a hybrid PET/CMR scanner. J Cardiovasc Magn Reson 2021; 23:3. [PMID: 33407586 PMCID: PMC7789581 DOI: 10.1186/s12968-020-00696-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 04/06/2020] [Accepted: 12/09/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Inadequate coronary adenosine response is a potential cause for false negative ischemia testing. Recently, the splenic switch-off (SSO) sign has been identified as a promising tool to ascertain the efficacy of adenosine during vasodilator stress cardiovascular magnetic resonance imaging (CMR). We assessed the value of SSO to predict adenosine response, defined as an increase in myocardial blood flow (MBF) during quantitative stress myocardial perfusion 13 N-ammonia positron emission tomography (PET). METHODS We prospectively enrolled 64 patients who underwent simultaneous CMR and PET myocardial perfusion imaging on a hybrid PET/CMR scanner with co-injection of gadolinium based contrast agent (GBCA) and 13N-ammonia during rest and adenosine-induced stress. A myocardial flow reserve (MFR) of > 1.5 or ischemia as assessed by PET were defined as markers for adequate coronary adenosine response. The presence or absence of SSO was visually assessed. The stress-to-rest intensity ratio (SIR) was calculated as the ratio of stress over rest peak signal intensity for splenic tissue. Additionally, the spleen-to-myocardium ratio, defined as the relative change of spleen to myocardial signal, was calculated for stress (SMRstress) and rest. RESULTS Sixty-one (95%) patients were coronary adenosine responders, but SSO was absent in 18 (28%) patients. SIR and SMRstress were significantly lower in patients with SSO (SIR: 0.56 ± 0.13 vs. 0.93 ± 0.23; p < 0.001 and SMRstress: 1.09 ± 0.47 vs. 1.68 ± 0.62; p < 0.001). Mean hyperemic and rest MBF were 2.12 ± 0.68 ml/min/g and 0.78 ± 0.26 ml/min/g, respectively. MFR was significantly higher in patients with vs. patients without presence of SSO (3.07 ± 1.03 vs. 2.48 ± 0.96; p = 0.038), but there was only a weak inverse correlation between SMRstress and MFR (R = -0.378; p = 0.02) as well as between SIR and MFR (R = -0.356; p = 0.004). CONCLUSIONS The presence of SSO implies adequate coronary adenosine-induced MBF response. Its absence, however, is not a reliable indicator for failed adenosine-induced coronary vasodilatation.
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Affiliation(s)
- Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Adam Bakula
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Christel H Kamani
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Moritz Schwyzer
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich and University Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
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Benz DC, Kaufmann PA, von Felten E, Benetos G, Rampidis G, Messerli M, Giannopoulos AA, Fuchs TA, Gräni C, Gebhard C, Pazhenkottil AP, Flammer AJ, Kaufmann PA, Buechel RR. Prognostic Value of Quantitative Metrics From Positron Emission Tomography in Ischemic Heart Failure. JACC Cardiovasc Imaging 2020; 14:454-464. [PMID: 32771569 DOI: 10.1016/j.jcmg.2020.05.033] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [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: 03/06/2020] [Revised: 05/11/2020] [Accepted: 05/12/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVES The aim of this study was to investigate the prognostic and clinical value of quantitative positron emission tomographic (PET) metrics in patients with ischemic heart failure. BACKGROUND Although myocardial flow reserve (MFR) is a strong predictor of cardiac risk in patients without heart failure, it is unknown whether quantitative PET metrics improve risk stratification in patients with ischemic heart failure. METHODS The study included 254 patients referred for stress and rest myocardial perfusion imaging and viability testing using PET. Major adverse cardiac event(s) (MACE) consisted of death, resuscitated sudden cardiac death, heart transplantation, acute coronary syndrome, hospitalization for heart failure, and late revascularization. RESULTS MACE occurred in 170 patients (67%) during a median follow-up of 3.3 years. In a multivariate Cox proportional hazards model including multiple quantitative PET metrics, only MFR predicted MACE significantly (p = 0.013). Beyond age, symptom severity, diabetes mellitus, previous myocardial infarction or revascularization, 3-vessel disease, renal insufficiency, ejection fraction, as well as presence and burden of ischemia, scar, and hibernating myocardium, MFR was strongly associated with MACE (adjusted hazard ratio per increase in MFR by 1: 0.63; 95% confidence interval: 0.45 to 0.91). Incorporation of MFR into a risk assessment model incrementally improved the prediction of MACE (likelihood ratio chi-square test [16] = 48.61 vs. chi-square test [15] = 39.20; p = 0.002). CONCLUSIONS In this retrospective analysis of a single-center cohort, quantitative PET metrics of myocardial blood flow all improved risk stratification in patients with ischemic heart failure. However, in a hypothesis-generating analysis, MFR appears modestly superior to the other metrics as a prognostic index.
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Affiliation(s)
- Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland; Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Philippe A Kaufmann
- 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
| | - Georgios Benetos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Georgios Rampidis
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland
| | - Michael Messerli
- 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; Department of Cardiology, 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
| | - Christoph Gräni
- 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, University Hospital Zurich, Zurich, Switzerland
| | - Andreas J Flammer
- Department of Cardiology, University Hospital Zurich, Zurich, 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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Benz DC, Giannopoulos AA. Fractional flow reserve as the standard of reference: All that glistens is not gold. J Nucl Cardiol 2020; 27:1314-1316. [PMID: 31175624 DOI: 10.1007/s12350-019-01771-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Accepted: 05/20/2019] [Indexed: 11/25/2022]
Affiliation(s)
- Dominik C Benz
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
- Cardiology Department, University Hospital Zurich, Zurich, Switzerland.
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Steffen DA, Giannopoulos AA, Grossmann M, Messerli M, Schwyzer M, Gräni C, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR. "Apical thinning": Relations between myocardial wall thickness and apical left ventricular tracer uptake as assessed with positron emission tomography myocardial perfusion imaging. J Nucl Cardiol 2020; 27:452-460. [PMID: 30109592 DOI: 10.1007/s12350-018-1397-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 03/16/2018] [Accepted: 07/27/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND A reduction in left ventricular apical tracer uptake (apical thinning) is frequently observed in myocardial perfusion imaging (MPI), yet its cause remains a matter of debate, particularly in perfusion emission tomography (PET). This analysis sought to determine whether apical thinning in PET-MPI is attributable to true anatomical thinning of the left ventricular apical myocardium. METHODS AND RESULTS We retrospectively analyzed 57 patients without any history or signs of apical myocardial infarction who underwent rest PET-MPI with 13N-ammonia and contrast-enhanced cardiac computed tomography (CT). Semi-quantitative normalized percent apical 13N-ammonia uptake at rest, myocardial blood flow (MBF), and k2 wash-out rate constants were compared to apical myocardial wall thickness measurements derived from CT and base-to-apex gradients were calculated. Apical thinning was found in 93% of patients and in 74% when analysis of normalized apical tracer uptake was confined to end-systole. No significant correlation was found between apical myocardial thickness and apical tracer uptake (r = - 0.080, P = .553), MBF (r = - 0.211, P = .115), or k2 wash-out rate (r = - 0.023, P = .872), nor between apical myocardial thickness and any gradients. A statistically significant but small difference in apical myocardial thickness was observed in patients with moderately to severely reduced apical tracer uptake vs patients with normal to mildly reduced uptake (4.3 ± 0.7 mm vs 4.7 ± 0.7 mm; P = .043). CONCLUSIONS Apical thinning is a highly prevalent finding during 13N-ammonia PET-MPI that is not solely attributable to true anatomical apical wall thickness or the partial volume effect. Other factors that yet need to be identified seem to have a more prominent impact.
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Affiliation(s)
- Dominik A Steffen
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Marvin Grossmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Moritz Schwyzer
- 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
| | - Cathérine Gebhard
- 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
| | - 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.
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Benz D, Kaufmann PA, von Felten E, Benetos G, Rampidis G, Messerli M, Giannopoulos AA, Fuchs TA, Gräni C, Gebhard C, Pazhenkottil A, Flammer A, Kaufmann PA, Buechel RR. MYOCARDIAL FLOW RESERVE FROM POSITRON EMISSION TOMOGRAPHY PREDICTS TREATMENT RESPONSE IN PATIENT WITH ISCHEMIC HEART FAILURE. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)34291-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Gebhard C, Messerli M, Lohmann C, Treyer V, Bengs S, Benz DC, Giannopoulos AA, Kudura K, von Felten E, Schwyzer M, Gaemperli O, Gräni C, Pazhenkottil AP, Buechel RR, Kaufmann PA. Sex and age differences in the association of heart rate responses to adenosine and myocardial ischemia in patients undergoing myocardial perfusion imaging. J Nucl Cardiol 2020; 27:159-170. [PMID: 29687292 DOI: 10.1007/s12350-018-1276-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 01/10/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND In light of growing cardiovascular mortality rates observed in young women, sexual dimorphism in cardiac autonomic nervous control is gaining increasing attention. Heart rate responses to adenosine mirror autonomic activity and may carry important prognostic information. METHODS AND RESULTS Hemodynamic changes during adenosine stress were retrospectively analysed in a propensity-matched cohort of 1932 consecutive patients undergoing myocardial perfusion single-photon-emission computed tomography (MPI-SPECT). Heart rate (HR) and systolic blood pressure (SBP) increased during adenosine infusion (P < 0.001). The increase in SBP and HR (heart rate reserve, HRR), was significantly more pronounced in women compared with men (P < 0.05). Patients ≤ 55 years had a higher HRR compared with patients > 55 years (46.8% vs 37.5%, P = 0.015). Women ≤ 55 years with a reversible perfusion defect on MPI-SPECT exhibited the highest HRR (89.2%), while age-matched men showed a blunted HR response to adenosine (26.4%, P = 0.01). Accordingly, age and an interaction term of female sex and increased HRR were identified as significant predictors of myocardial ischemia in a multiple regression analysis (OR 1.4, 95% CI 1.02-1.9, P = 0.038). CONCLUSION HRR during adenosine infusion is influenced by age and sex. Our data suggest a stronger, sympathetic-driven, hemodynamic response to adenosine in younger women with myocardial ischemia.
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Affiliation(s)
- Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland.
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Christine Lohmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Ken Kudura
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Moritz Schwyzer
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Oliver Gaemperli
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, Zurich, 8091, Switzerland
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Grossmann M, Giannopoulos AA, Bechtiger FA, Messerli M, Schwyzer M, Benz DC, Kudura K, Gebhard C, Gräni C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Ultra-low-dose computed tomography for attenuation correction of cadmium-zinc-telluride single photon emission computed tomography myocardial perfusion imaging. J Nucl Cardiol 2020; 27:228-237. [PMID: 29923103 DOI: 10.1007/s12350-018-1303-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 03/06/2018] [Accepted: 04/30/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND The applicability of ultra-low-dose computed tomography (CT) for attenuation correction (AC) of single-photon-emission computed tomography myocardial perfusion imaging (SPECT-MPI) remains elusive. METHODS AND RESULTS One-hundred patients underwent one-day 99mTc-tetrofosmin stress-rest MPI and non-contrast enhanced cardiac CT with 120, 80, and 70 kilovolt peak (kVp) tube voltage and tube current of 200 milliamperes for creation of AC maps. Normalized percent myocardial uptake from SPECT-MPI using 80 kVp scans for AC showed excellent correlation vs AC from 120 kVp scans for stress [intraclass correlation (ICC) = 0.988, 95% CI = 0.986-0.989, P < .001] and rest (ICC = 0.985, 95% CI = 0.983-0.987, P < .001) with narrow Bland-Altman limits of agreement (BA-LA) (- 5.3% to 4.5% and - 5.4% to 4.4%, respectively) and minimal bias (- 0.4% and - 0.5%, respectively). Correlation of AC SPECT-MPI based on 70 vs 120 kVp scans was excellent for stress (ICC = 0.988, 95% CI = 0.986-0.989, P < .001) and rest (ICC = 0.986, 95% CI = 0.984-0.987, P < .001) with narrow BA-LA (- 5.3% to 4.4% and - 5.2% to 4.5%, respectively) and small bias (- 0.4% and - 0.3%, respectively). Mean effective radiation dose for the 120, 80 and 70 kVp scans were 0.58 ± 0.07, 0.19 ± 0.02, and 0.12 ± 0.01 mSv, respectively. CONCLUSIONS Attenuation maps for MPI obtained from ultra-low radiation dose CT scans are interchangeable with attenuation maps from standard-dose CT while offering a substantial reduction in radiation dose exposure.
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Affiliation(s)
- Marvin Grossmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Fabiola A Bechtiger
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Moritz Schwyzer
- 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
| | - Ken Kudura
- 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
| | - Christoph Gräni
- 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
| | - 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.
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Giannopoulos AA, Gaemperli O. The power of myocardial blood flow reserve in personalizing management of patients with stable coronary artery disease. Is it time to move on from percentage of ischaemia? Eur Heart J 2020; 41:769-771. [PMID: 31327015 DOI: 10.1093/eurheartj/ehz465] [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: 11/14/2022] Open
Affiliation(s)
- Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Switzerland.,Cardiology Department, University Hospital Zurich, Switzerland
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Patriki D, Giannopoulos AA. Cardiovascular risk prediction models with myocardial perfusion imaging in chronic kidney disease: ACCESSing digits or focusing on the patient? J Nucl Cardiol 2020; 27:51-52. [PMID: 30014349 DOI: 10.1007/s12350-018-1367-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 07/05/2018] [Indexed: 11/24/2022]
Affiliation(s)
- Dimitri Patriki
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
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40
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Benetos G, Buechel RR, Gonçalves M, Benz DC, von Felten E, Rampidis GP, Clerc OF, Messerli M, Giannopoulos AA, Gebhard C, Fuchs TA, Pazhenkottil AP, Kaufmann PA, Gräni C. Coronary artery volume index: a novel CCTA-derived predictor for cardiovascular events. Int J Cardiovasc Imaging 2020; 36:713-722. [PMID: 31894527 DOI: 10.1007/s10554-019-01750-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 10/08/2019] [Accepted: 12/13/2019] [Indexed: 10/25/2022]
Abstract
Coronary computed tomography angiography (CCTA) provides critical prognostic information on plaque burden and stenosis severity of coronary arteries. We aimed to investigate the long-term prognostic value of coronary artery volume per myocardial mass as a potential new imaging parameter. Consecutive patients with suspected coronary artery disease (CAD) were included. Coronary artery volume index (CAVi) was defined as volume over myocardial mass. Additionally, obstructive CAD (≥ 70% stenosis) and segment severity score (SSS: sum of all segments scored according to lesion severity with 0 = no lesion, 1 = narrowing < 50%, 2 = stenosis 50-69% and 3 = stenosis ≥ 70%) were evaluated. Major adverse cardiovascular events (MACE) were defined as cardiac death, non-fatal myocardial infarction or revascularization. The association of CAVi with MACE was evaluated using Cox regression hazards ratios (HR) and Kaplan Meier curves. In a total of 325 patients, 36 (11.1%) patients experienced MACE during the mean follow-up of 5.4 ± 1.7 years. Patients with low-CAVi (< 27.9 mm3/g) experienced more MACE than patients with high-CAVI (17.2% versus 4.5%, p < 0.001, Kaplan Meier curve p = 0.001). SSS, obstructive CAD and low-CAVi were all significant predictors of MACE in univariable analysis (HR 1.14, 95% CI 1.09-1.19, p < 0.001; HR 5.51, 95% CI 2.86-10.60, p < 0.001; and HR 3.79, 95% CI 1.66-8.65, p = 0.002, respectively). CAVi maintained significant association with MACE when adjusted to SSS (CAVi HR 2.43, 95% CI 1.02-5.75, p = 0.04) or obstructive CAD (CAVi HR 2.4, 95% CI 1.002-5.75, p = 0.049). CAVi could further risk stratify patients without obstructive CAD when stratifying patients according to obstructive CAD (Kaplan-Meier curve p = 0.049). CAVi is a novel CCTA-derived imaging parameter, yielding independent prognostic value over stenosis and plaque burden.
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Affiliation(s)
- Georgios Benetos
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Marisa Gonçalves
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Georgios P Rampidis
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Olivier F Clerc
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Cathérine Gebhard
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, University Hospital and University Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. .,Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
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41
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Benz DC, Giannopoulos AA. Do we really need to look at volumetric measurements with 99mTc single photon emission computed tomography (SPECT) myocardial perfusion imaging? J Nucl Cardiol 2019; 26:1717-1719. [PMID: 29589207 DOI: 10.1007/s12350-018-1263-2] [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: 03/19/2018] [Accepted: 03/19/2018] [Indexed: 10/17/2022]
Affiliation(s)
- Dominik C Benz
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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42
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Benz DC, von Dahlen AP, Huang W, Messerli M, von Felten E, Benetos G, Giannopoulos AA, Fuchs TA, Gräni C, Gebhard C, Pazhenkottil AP, Gaemperli O, Kaufmann PA, Buechel RR. No differences in rest myocardial blood flow in stunned and hibernating myocardium: insights into the pathophysiology of ischemic cardiomyopathy. Eur J Nucl Med Mol Imaging 2019; 46:2322-2328. [DOI: 10.1007/s00259-019-04440-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 07/11/2019] [Indexed: 11/27/2022]
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von Felten E, Giannopoulos AA. Myocardial Creep: we can now look it in the eye without framewise PET-CT registration for myocardial blood flow quantification. J Nucl Cardiol 2019; 26:747-748. [PMID: 30919270 DOI: 10.1007/s12350-019-01695-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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 03/13/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Elia von Felten
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
- Cardiology Department, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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44
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Gräni C, Vontobel J, Benz DC, Bacanovic S, Giannopoulos AA, Messerli M, Grossmann M, Gebhard C, Pazhenkottil AP, Gaemperli O, Kaufmann PA, Buechel RR. Ultra-low-dose coronary artery calcium scoring using novel scoring thresholds for low tube voltage protocols-a pilot study. Eur Heart J Cardiovasc Imaging 2019; 19:1362-1371. [PMID: 29432592 DOI: 10.1093/ehjci/jey019] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [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: 11/15/2017] [Accepted: 01/18/2018] [Indexed: 11/13/2022] Open
Abstract
Aims To determine if tube-adapted thresholds for coronary artery calcium (CAC) scoring by computed tomography at 80 kilovolt-peak (kVp) tube voltage and 70-kVp yield comparable results to the standard 120-kVp protocol. Methods and results We prospectively included 103 patients who underwent standard scanning with 120-kVp tube voltage and additional scans with 80 kVp and 70 kVp. Mean body mass index (BMI) was 27.9 ± 5.1 kg/m2. For the lowered tube voltages, we applied novel kVp-adapted thresholds for calculation of CAC scores and compared them with standard 120-kVp scans using intraclass correlation and Bland-Altman (BA) analysis. Furthermore, risk-class (CAC score 0/1-10/11-100/101-400/>400) changes were assessed. Median CAC score from 120-kVp scans was 212 (interquartile range 25-901). Thirteen (12.6%) patients had zero CAC. Using the novel kVp-adapted thresholds, CAC scores derived from 80-kVp scans showed excellent correlation (r = 0.994, P < 0.001) with standard 120-kVp scans with BA limits of agreement of -235 (-39.5%) to 172 (28.9%). Similarly, for 70-kVp scans, correlation was excellent (r = 0.972, P < 0.001) but with broader limits of agreement of -476 (-85.0%) to 270 (48.2%). Only 2 (2.8%) reclassifications were observed for the 80-kVp scans in patients with a BMI <30 kg/m2 (n = 71), and 2 (6.1%) for the 70-kVp scans in patients with a BMI <25 kg/m2 (n = 33). Mean effective radiation dose was 0.60 ± 0.07 millisieverts (mSv), 0.19 ± 0.02 mSv, and 0.12 ± 0.01 mSv for the 120-kVp, 80-kVp, and 70-kVp scans, respectively. Conclusion The present study suggests that CAC scoring with reduced peak tube voltage is accurate if kVp-adapted thresholds for calculation of CAC scores are applied while offering a substantial further radiation dose reduction.
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Affiliation(s)
- Christoph Gräni
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Jan Vontobel
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Dominik C Benz
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Sara Bacanovic
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Michael Messerli
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Marvin Grossmann
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Cathérine Gebhard
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Oliver Gaemperli
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Philipp A Kaufmann
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Ronny R Buechel
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
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45
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Affiliation(s)
- Georgios P Rampidis
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
| | - Georgios Benetos
- 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
| | - Andreas A Giannopoulos
- 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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46
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Haider A, Possner M, Messerli M, Bengs S, Osto E, Maredziak M, Portmann A, Fiechter M, Giannopoulos AA, Treyer V, Gaisl T, von Felten E, Patriki D, Benz DC, Fuchs TA, Gräni C, Pazhenkottil AP, Buechel RR, Kaufmann PA, Gebhard C. Quantification of intrathoracic fat adds prognostic value in women undergoing myocardial perfusion imaging. Int J Cardiol 2019; 292:258-264. [PMID: 31178224 DOI: 10.1016/j.ijcard.2019.04.092] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [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: 02/13/2019] [Revised: 04/16/2019] [Accepted: 04/29/2019] [Indexed: 01/12/2023]
Abstract
AIM Amongst patients with coronary artery disease (CAD), women experience relatively worse outcomes as compared to men. Evidence to date has failed to explore unique female imaging targets as major determinants of cardiovascular risk. We sought to assess the prognostic value of epicardial (EFV) and intrathoracic fat volume (IFV) quantification in women and men with suspected and known CAD. METHODS AND RESULTS Intrathoracic fat volume and EFV were calculated from non-contrast CT and analyzed in a propensity-matched cohort of 190 patients (95 women, mean age 62.5 ± 11.3 years) undergoing myocardial perfusion imaging (MPI) and coronary computed tomography angiography (CCTA) for evaluation of CAD. IFV and EFV were significantly lower in women as compared to men (198.2 ± 78.4 vs 293.2 ± 114.7 cm3 and 105.6 ± 48.9 vs 135.8 ± 60.9 cm3, p < 0.001) and showed a strong association with coronary artery calcium score (CACS) and obstructive CAD in women (p < 0.05), but not in men. Fat volumes were not related to abnormal MPI in either population (p = NS). During a median follow-up of 2.8 years, high IFV was associated with reduced event free survival (log rank = 0.019 vs low IFV) in women, but not in men. Accordingly, a multivariate Cox regression model adjusted for cardiovascular risk factors, CACS, CCTA, and MPI findings selected IFV as a significant predictor of major adverse cardiovascular events (MACE) in women (HR 1.32, 95%CI 1.18-1.55, p = 0.001). CONCLUSION Quantification of IFV provides incremental prognostic value for MACE in women, beyond that provided by traditional risk factors and imaging findings.
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Affiliation(s)
- Ahmed Haider
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Switzerland
| | - Mathias Possner
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Switzerland
| | - Elena Osto
- Center for Molecular Cardiology, University of Zurich, Switzerland; Laboratory of Translational Nutrition Biology, ETH, Zurich, Switzerland; University Heart Center, Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Monika Maredziak
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Switzerland
| | - Michael Fiechter
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Switzerland
| | | | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Thomas Gaisl
- Division of Pulmonology, University Hospital Zurich, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland; Center for Molecular Cardiology, University of Zurich, Switzerland.
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47
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Abstract
Acute coronary events, the dreaded manifestation of coronary atherosclerosis, remain one of the main contributors to mortality and disability in the developed world. The majority of those events are associated with atherosclerotic plaques-related thrombus formation following an acute disruption, that being rupture or erosion, of an event-prone lesion. These historically termed vulnerable plaques have been the target of numerous benchtop and clinical research endeavors, yet to date without solid results that would allow for early identification and potential treatment. Technological leaps in cardiovascular imaging have provided novel insights into the formation and role of the event-prone plaques. From intracoronary optical coherence tomography that has enhanced our understanding of the pathophysiological mechanisms of plaque disruption, over coronary computed tomography angiography that enables non-invasive serial plaque imaging, and positron emission tomography poised to be rapidly implemented into clinical practice to the budding field of plaque imaging with cardiac magnetic resonance, we summarize the invasive and non-invasive imaging modalities currently available in our armamentarium. Finally, the current status and potential future imaging directions are critically appraised.
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Affiliation(s)
- Andreas A Giannopoulos
- 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
| | - Christoph Gräni
- 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.
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48
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Hong CJ, Giannopoulos AA, Hong BY, Witterick IJ, Irish JC, Lee J, Vescan A, Mitsouras D, Dang W, Campisi P, de Almeida JR, Monteiro E. Clinical applications of three‐dimensional printing in otolaryngology–head and neck surgery: A systematic review. Laryngoscope 2019; 129:2045-2052. [DOI: 10.1002/lary.27831] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/07/2019] [Indexed: 12/27/2022]
Affiliation(s)
- Chris J. Hong
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
| | - Andreas A. Giannopoulos
- Cardiac Imaging Computed Tomography/Positron Emission Tomography/Magnetic Resonance Imaging, Department of Nuclear MedicineUniversity Hospital Zurich Zurich Switzerland
| | - Brian Y. Hong
- Division of Plastic and Reconstructive Surgery, Department of SurgeryUniversity of Toronto Toronto Ontario Canada
| | - Ian J. Witterick
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
| | - Jonathan C. Irish
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
| | - John Lee
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
| | - Allan Vescan
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
| | - Dimitrios Mitsouras
- Faculty of MedicineUniversity of Ottawa Ottawa Ontario Canada
- Applied Imaging Science Lab, Department of RadiologyBrigham and Women's Hospital, Harvard Medical School Boston Massachusetts U.S.A
| | - Wilfred Dang
- Department of Diagnostic RadiologyUniversity of Ottawa Ottawa Ontario Canada
| | - Paolo Campisi
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
| | - John R. de Almeida
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
| | - Eric Monteiro
- Department of Otolaryngology–Head and Neck SurgeryUniversity of Toronto Toronto Ontario Canada
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49
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Pazhenkottil AP, Tanner FC, Buechel RR, Giannopoulos AA, Kaufmann PA, Zuber M. Cardiac hybrid imaging combining 3D-strain echocardiography with coronary computed tomography angiography. Eur Heart J 2019; 40:395-396. [PMID: 30380027 DOI: 10.1093/eurheartj/ehy700] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland.,Department of Cardiology, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Felix C Tanner
- Department of Cardiology, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland.,Department of Cardiology, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
| | - Michel Zuber
- Department of Cardiology, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland
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50
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Messerli M, Maredziak M, Bengs S, Haider A, Giannopoulos AA, Schwyzer M, Benz DC, von Felten E, Kudura K, Treyer V, Fiechter M, Gräni C, Fuchs TA, Pazhenkottil AP, Buechel RR, Kaufmann PA, Gebhard C. Association between beta-adrenoceptor antagonist-induced sympathicolysis and severity of coronary artery disease as assessed by coronary computed tomography angiography (CCTA). Int J Cardiovasc Imaging 2019; 35:927-936. [PMID: 30623350 DOI: 10.1007/s10554-018-01523-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 09/26/2018] [Accepted: 12/24/2018] [Indexed: 12/13/2022]
Abstract
Enhanced sympathetic nervous system activity is associated with increased mortality in many cardiac conditions including heart failure and coronary artery disease (CAD). To ensure adequate image quality of coronary CT angiography (CCTA), pre-scan β-adrenergic blockers (BB) are routinely administered. It is currently unknown whether sensitivity to sympathicolytic compounds is associated with severity of CAD. A total of 2633 consecutive patients (1733 [65.8%] men and 900 [34.2%] women, mean age 56.7 ± 11.5 years) undergoing CCTA for exclusion of significant CAD at our department between 06/2013 and 12/2016 were evaluated. Acute heart rate (HR) responses to BB administration were recorded in all patients. Coronary plaque burden as indicated by segment severity score (SSS), segment involvement score (SIS), and significant CAD (i.e. > 50% luminal narrowing) was higher in weak responders to BB as compared to strong responders to BB (p = 0.001 for SSS and SIS, and p = 0.021 for significant CAD). Accordingly, in a multiple linear regression model adjusted for known risk factors of CAD such as smoking, hypertension, diabetes and dyslipidaemia, as well as age, sex, body mass index (BMI), glomerular filtration rate, and HR during CCTA scan, a strong response to BB was selected as a significant independent negative predictor of coronary plaque burden (beta coefficient - 0.08, p = 0.001). We demonstrate that individuals with a weak acute response to BB administration encounter an increased risk of severe CAD. Taking into account sensitivity to sympatho-inhibition may add complementary information in patients undergoing CCTA for evaluation of CAD.
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Affiliation(s)
- Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Monika Maredziak
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | - Ahmed Haider
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
| | | | - Moritz Schwyzer
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Ken Kudura
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Michael Fiechter
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland.
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, Zurich, Switzerland.
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