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Ueda J, Kurata H, Ota M, Yabata I, Itagaki K, Sawaya R, Murata C, Banura N, Nishida H, Saito S. Conditions for late gadolinium enhancement MRI in myocardial infarction model rats that better reflect microscopic tissue staining. Sci Rep 2024; 14:18308. [PMID: 39112681 PMCID: PMC11306602 DOI: 10.1038/s41598-024-69540-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 08/06/2024] [Indexed: 08/10/2024] Open
Abstract
Late gadolinium enhancement (LGE) is a widely used magnetic resonance imaging method for assessing cardiac disease. However, the relationship between different LGE signal thresholds and microscopic tissue staining images is unclear. In this study, we performed cardiovascular MRI on myocardial infarction (MI) model rats and evaluated the relationship between LGE with different signal thresholding methods and tissue staining images. We prepared 16 rats that underwent MRI 14-18 days following a surgery to create an MI model. We captured cine and LGE images of the cardiac short-axis and longitudinal two- and four-chamber views. The mean ± 2SD, ± 3SD, and ± 5SD of the pixel values in the non-infarcted area were defined as the LGE area. We compared areas of Sirius red staining, determined by the color tone, with their respective LGE areas at end-diastole and end-systole. We observed that the LGE area calculated as the mean ± 2SD of the non-infarcted area at end-diastole demonstrated a significant positive correlation with the area of Sirius red staining (Pearson's correlation coefficient in both: 0.81 [p < 0.01]). Therefore, the LGE area calculated as the mean ± 2SD of the non-infarcted area at end-diastole best reflected the MI area in tissue staining.
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Affiliation(s)
- Junpei Ueda
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Department of Radiological Sciences, Faculty of Health Sciences, Morinomiya University of Medical Sciences, Osaka, 559-8611, Japan
| | - Hayato Kurata
- ROHTO Pharmaceutical Co., Ltd, Kizugawa, Kyoto, 619-0216, Japan
| | - Miwa Ota
- ROHTO Pharmaceutical Co., Ltd, Kizugawa, Kyoto, 619-0216, Japan
| | - Isamu Yabata
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Division of Radiology, Department of Medical Technology, Osaka University Hospital, Osaka, 564-8565, Japan
| | - Koji Itagaki
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Division of Clinical Radiology Service, Kyoto University Hospital, Kyoto, 606-8507, Japan
| | - Reika Sawaya
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Division of Radiology, Department of Medical Technology, Osaka University Hospital, Osaka, 564-8565, Japan
| | - Chiharu Murata
- ROHTO Pharmaceutical Co., Ltd, Kizugawa, Kyoto, 619-0216, Japan
| | - Natsuo Banura
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan
- Department of Advanced Medical Technologies, National Cardiovascular and Cerebral Research Center, Suita, Osaka, 564-8565, Japan
| | | | - Shigeyoshi Saito
- Division of Health Sciences, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, 560-0871, Japan.
- Department of Advanced Medical Technologies, National Cardiovascular and Cerebral Research Center, Suita, Osaka, 564-8565, Japan.
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Toritani H, Yoshida K, Hosokawa T, Tanabe Y, Yamamoto Y, Nishiyama H, Kido T, Kawaguchi N, Matsuda M, Nakano S, Miyazaki S, Uetani T, Inaba S, Yamaguchi O, Kido T. The Feasibility of a Model-Based Iterative Reconstruction Technique Tuned for the Myocardium on Myocardial Computed Tomography Late Enhancement. J Comput Assist Tomogr 2024:00004728-990000000-00340. [PMID: 39095055 DOI: 10.1097/rct.0000000000001652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
OBJECTIVES This study evaluated the feasibility of a model-based iterative reconstruction technique (MBIR) tuned for the myocardium on myocardial computed tomography late enhancement (CT-LE). METHODS Twenty-eight patients who underwent myocardial CT-LE and late gadolinium enhancement (LGE) magnetic resonance imaging (MRI) within 1 year were retrospectively enrolled. Myocardial CT-LE was performed using a 320-row CT with low tube voltage (80 kVp). Myocardial CT-LE images were scanned 7 min after CT angiography (CTA) without additional contrast medium. All myocardial CT-LE images were reconstructed with hybrid iterative reconstruction (HIR), conventional MBIR (MBIR_cardiac), and new MBIR tuned for the myocardium (MBIR_myo). Qualitative (5-grade scale) scores and quantitative parameters (signal-to-noise ratio [SNR] and contrast-to-noise ratio [CNR]) were assessed as image quality. The sensitivity, specificity, and accuracy of myocardial CT-LE were evaluated at the segment level using an American Heart Association (AHA) 16-segment model, with LGE-MRI as a reference standard. These results were compared among the different CT image reconstructions. RESULTS In 28 patients with 448 segments, 160 segments were diagnosed with positive by LGE-MRI. In the qualitative assessment of myocardial CT-LE, the mean image quality scores were 2.9 ± 1.2 for HIR, 3.0 ± 1.1 for MBIR_cardiac, and 4.0 ± 1.0 for MBIR_myo. MBIR_myo showed a significantly higher score than HIR (P < 0.001) and MBIR_cardiac (P = 0.018). In the quantitative image quality assessment of myocardial CT-LE, the median image SNR was 10.3 (9.1-11.1) for HIR, 10.8 (9.8-12.1) for MBIR_cardiac, and 16.8 (15.7-18.4) for MBIR_myo. The median image CNR was 3.7 (3.0-4.6) for HIR, 3.8 (3.2-5.1) for MBIR_cardiac, and 6.4 (5.0-7.7) for MBIR_myo. MBIR_myo significantly improved the SNR and CNR of CT-LE compared to HIR and MBIR_cardiac (P < 0.001). The sensitivity, specificity, and accuracy for the detection of myocardial CT-LE were 70%, 92%, and 84% for HIR; 71%, 92%, and 85% for MBIR_cardiac; and 84%, 92%, and 89% for MBIR_myo, respectively. MBIR_myo showed significantly higher image quality, sensitivity, and accuracy than the others (P < 0.05). CONCLUSIONS MBIR tuned for myocardium improved image quality and diagnostic performance for myocardial CT-LE assessment.
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Affiliation(s)
| | - Kazuki Yoshida
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
| | - Takaaki Hosokawa
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
| | - Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
| | - Yuta Yamamoto
- Department of Radiology, Saiseikai Matsuyama Hospital, Matsuyama City, Ehime Prefecture
| | - Hikaru Nishiyama
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
| | - Tomoyuki Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
| | - Naoto Kawaguchi
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
| | - Megumi Matsuda
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
| | - Shota Nakano
- Canon Medical Systems Corporation, Otawara City, Tochigi Prefecture
| | - Shigehiro Miyazaki
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon City, Ehime Prefecture, Japan
| | - Teruyoshi Uetani
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon City, Ehime Prefecture, Japan
| | - Shinji Inaba
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon City, Ehime Prefecture, Japan
| | - Osamu Yamaguchi
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon City, Ehime Prefecture, Japan
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Toon City
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Beijnink CW, Raafs AG, Vos JL, Verdonschot JA, Sikking MA, Rodwell L, Heymans SR, Nijveldt R. Papillary Muscle Delayed Hyperenhancement: Prevalence and Clinical Implications in a Large Population With Dilated Cardiomyopathy. JACC. ADVANCES 2024; 3:101103. [PMID: 39105114 PMCID: PMC11298879 DOI: 10.1016/j.jacadv.2024.101103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/26/2024] [Accepted: 06/05/2024] [Indexed: 08/07/2024]
Abstract
Background Papillary muscle-delayed hyperenhancement (papHE) at cardiac magnetic resonance indicates fibrotic or infiltrative processes. Contrary to myocardial HE, the prevalence and prognostic implications of papHE in patients with nonischemic dilated cardiomyopathy are unclear. Objectives The purpose of this study was to determine the prevalence of papHE and describe its association with adverse clinical outcomes. Methods This prospective cohort study included 528 patients who underwent late gadolinium enhancement cardiac magnetic resonance. The primary outcomes were all-cause mortality, sudden cardiac death, life-threatening arrhythmia, and hospitalization for heart failure. Patients were allocated into 4 categories: the first without papHE and without myocardial HE, the second with papHE, the third with myocardial HE, and the fourth with papHE and myocardial HE. The hazards of the primary outcomes for each category were compared using multivariable Cox regression. Results papHE was present in 131 patients (25%). The median follow-up duration was 6.1 years (IQR: 3.7-9.7 years). Isolated papHE and isolated myocardial HE were not significantly associated with any of the prespecified outcomes. Patients who had both myocardial HE and papHE were at an increased risk of all-cause mortality (HR: 2.33, 95% CI: 1.26-4.30), sudden cardiac death (HR: 3.77, 95% CI: 1.59-8.94), life-threatening arrhythmia (HR: 3.94, 95% CI: 1.34-11.58), and hospitalization for heart failure (HR: 2.97, 95% CI: 1.30-6.80). Conclusions The combined presence of myocardial and papHE was independently associated with adverse outcomes. Future studies should investigate if the incorporation of papHE and myocardial HE may improve clinical decision-making strategies to select dilated cardiomyopathy patients who would benefit the most from ICD implantation.
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Affiliation(s)
- Casper W.H. Beijnink
- Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Anne G. Raafs
- Department of Cardiology, Cardiovascular Research Institute (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacqueline L. Vos
- Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Job A.J. Verdonschot
- Department of Cardiology, Cardiovascular Research Institute (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | - Maurits A. Sikking
- Department of Cardiology, Cardiovascular Research Institute (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | - Laura Rodwell
- Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Stephane R.B. Heymans
- Department of Cardiology, Cardiovascular Research Institute (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Cardiovascular Research, University of Leuven, Leuven, Belgium
| | - Robin Nijveldt
- Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
- Netherlands Heart Institute, Utrecht, the Netherlands
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Bernhard B, Ge Y, Antiochos P, Heydari B, Islam S, Sanchez Santiuste N, Steel KE, Bingham S, Mikolich JR, Arai AE, Bandettini WP, Patel AR, Shanbhag SM, Farzaneh-Far A, Heitner JF, Shenoy C, Leung SW, Gonzalez JA, Raman SV, Ferrari VA, Shah DJ, Schulz-Menger J, Stuber M, Simonetti OP, Kwong RY. Association of Adverse Clinical Outcomes With Peri-Infarct Ischemia Detected by Stress Cardiac Magnetic Imaging. J Am Coll Cardiol 2024; 84:417-429. [PMID: 39048273 DOI: 10.1016/j.jacc.2024.04.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/20/2024] [Accepted: 04/09/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND Early invasive revascularization guided by moderate to severe ischemia did not improve outcomes over medical therapy alone, underlying the need to identify high-risk patients for a more effective invasive referral. CMR could determine the myocardial extent and matching locations of ischemia and infarction. OBJECTIVES This study sought to investigate if CMR peri-infarct ischemia is associated with adverse events incremental to known risk markers. METHODS Consecutive patients were included in an expanded cohort of the multicenter SPINS (Stress CMR Perfusion Imaging in the United States) study. Peri-infarct ischemia was defined by the presence of any ischemic segment neighboring an infarcted segment by late gadolinium enhancement imaging. Primary outcome events included acute myocardial infarction and cardiovascular death, whereas secondary events included any primary events, hospitalization for unstable angina, heart failure hospitalization, and late coronary artery bypass surgery. RESULTS Among 3,915 patients (age: 61.0 ± 12.9 years; 54.7% male), ischemia, infarct, and peri-infarct ischemia were present in 752 (19.2%), 1,123 (28.8%), and 382 (9.8%) patients, respectively. At 5.3 years (Q1-Q3: 3.9-7.2 years) of median follow-up, primary and secondary events occurred in 406 (10.4%) and 745 (19.0%) patients, respectively. Peri-infarct ischemia was the strongest multivariable predictor for primary and secondary events (HRadjusted: 1.72 [95% CI: 1.23-2.41] and 1.71 [95% CI: 1.32-2.20], respectively; both P < 0.001), adjusted for clinical risk factors, left ventricular function, ischemia extent, and infarct size. The presence of peri-infarct ischemia portended to a >6-fold increased annualized primary event rate compared to those with no infarct and ischemia (6.5% vs 0.9%). CONCLUSIONS Peri-infarct ischemia is a novel and robust prognostic marker of adverse cardiovascular events.
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Affiliation(s)
- Benedikt Bernhard
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Yin Ge
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | | | - Bobak Heydari
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Sabeeh Islam
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Natalia Sanchez Santiuste
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Kevin E Steel
- St Joseph Medical Center, Bellingham, Washington, USA
| | | | - J Ronald Mikolich
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, Pennsylvania, USA
| | - Andrew E Arai
- Division of Intramural Research, Cardiology Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - W Patricia Bandettini
- Division of Intramural Research, Cardiology Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Amit R Patel
- Division of Cardiology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Sujata M Shanbhag
- Division of Intramural Research, Cardiology Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | | | - John F Heitner
- Cardiovascular Division, New York University Grossman School of Medicine, New York, New York, USA
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Steve W Leung
- Division of Cardiovascular Medicine, Gill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, USA
| | - Jorge A Gonzalez
- Division of Cardiology and Radiology, Scripps Clinic, La Jolla, California, USA
| | | | - Victor A Ferrari
- Hospital of the University of Pennsylvania and Penn Cardiovascular Institute, Philadelphia, Pennsylvania, USA
| | - Dipan J Shah
- Weill Cornell Medical College, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Jeanette Schulz-Menger
- Charité, Medical Faculty of the Humboldt University, Experimental and Clinical Research Center, Berlin, Germany; Helios Clinics, Cardiology, Berlin, Germany
| | - Matthias Stuber
- Department of Radiology, University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio University, Columbus, Ohio, USA
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA.
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Moon BF, Zhou IY, Ning Y, Chen YI, Le Fur M, Shuvaev S, Akam EA, Ma H, Solsona CM, Weigand‐Whittier J, Rotile N, Hariri LP, Drummond M, Boice AT, Zygmont SE, Sharma Y, Warburton RR, Martin GL, Blanton RM, Fanburg BL, Hill NS, Caravan P, Penumatsa KC. Simultaneous Positron Emission Tomography and Molecular Magnetic Resonance Imaging of Cardiopulmonary Fibrosis in a Mouse Model of Left Ventricular Dysfunction. J Am Heart Assoc 2024; 13:e034363. [PMID: 38979786 PMCID: PMC11292745 DOI: 10.1161/jaha.124.034363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 05/14/2024] [Indexed: 07/10/2024]
Abstract
BACKGROUND Aging-associated left ventricular dysfunction promotes cardiopulmonary fibrogenic remodeling, Group 2 pulmonary hypertension (PH), and right ventricular failure. At the time of diagnosis, cardiac function has declined, and cardiopulmonary fibrosis has often developed. Here, we sought to develop a molecular positron emission tomography (PET)-magnetic resonance imaging (MRI) protocol to detect both cardiopulmonary fibrosis and fibrotic disease activity in a left ventricular dysfunction model. METHODS AND RESULTS Left ventricular dysfunction was induced by transverse aortic constriction (TAC) in 6-month-old senescence-accelerated prone mice, a subset of mice that received sham surgery. Three weeks after surgery, mice underwent simultaneous PET-MRI at 4.7 T. Collagen-targeted PET and fibrogenesis magnetic resonance (MR) probes were intravenously administered. PET signal was computed as myocardium- or lung-to-muscle ratio. Percent signal intensity increase and Δ lung-to-muscle ratio were computed from the pre-/postinjection magnetic resonance images. Elevated allysine in the heart (P=0.02) and lungs (P=0.17) of TAC mice corresponded to an increase in myocardial magnetic resonance imaging percent signal intensity increase (P<0.0001) and Δlung-to-muscle ratio (P<0.0001). Hydroxyproline in the heart (P<0.0001) and lungs (P<0.01) were elevated in TAC mice, which corresponded to an increase in heart (myocardium-to-muscle ratio, P=0.02) and lung (lung-to-muscle ratio, P<0.001) PET measurements. Pressure-volume loop and echocardiography demonstrated adverse left ventricular remodeling, function, and increased right ventricular systolic pressure in TAC mice. CONCLUSIONS Administration of collagen-targeted PET and allysine-targeted MR probes led to elevated PET-magnetic resonance imaging signals in the myocardium and lungs of TAC mice. The study demonstrates the potential to detect fibrosis and fibrogenesis in cardiopulmonary disease through a dual molecular PET-magnetic resonance imaging protocol.
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Affiliation(s)
- Brianna F. Moon
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Iris Y. Zhou
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Yingying Ning
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Yin‐Ching I. Chen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Mariane Le Fur
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Sergey Shuvaev
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Eman A. Akam
- Department of Medicine, Division of Cardiology, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Hua Ma
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | | | - Jonah Weigand‐Whittier
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Nicholas Rotile
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Lida P. Hariri
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Matthew Drummond
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Avery T. Boice
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Samantha E. Zygmont
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Yamini Sharma
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Rod R. Warburton
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Gregory L. Martin
- Molecular Cardiology Research Institute, Tufts Medical CenterBostonMAUSA
| | - Robert M. Blanton
- Molecular Cardiology Research Institute, Tufts Medical CenterBostonMAUSA
| | - Barry L. Fanburg
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Nicholas S. Hill
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Peter Caravan
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
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Villegas-Martinez M, de Villedon de Naide V, Muthurangu V, Bustin A. The beating heart: artificial intelligence for cardiovascular application in the clinic. MAGMA (NEW YORK, N.Y.) 2024; 37:369-382. [PMID: 38907767 DOI: 10.1007/s10334-024-01180-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/25/2024] [Accepted: 06/13/2024] [Indexed: 06/24/2024]
Abstract
Artificial intelligence (AI) integration in cardiac magnetic resonance imaging presents new and exciting avenues for advancing patient care, automating post-processing tasks, and enhancing diagnostic precision and outcomes. The use of AI significantly streamlines the examination workflow through the reduction of acquisition and postprocessing durations, coupled with the automation of scan planning and acquisition parameters selection. This has led to a notable improvement in examination workflow efficiency, a reduction in operator variability, and an enhancement in overall image quality. Importantly, AI unlocks new possibilities to achieve spatial resolutions that were previously unattainable in patients. Furthermore, the potential for low-dose and contrast-agent-free imaging represents a stride toward safer and more patient-friendly diagnostic procedures. Beyond these benefits, AI facilitates precise risk stratification and prognosis evaluation by adeptly analysing extensive datasets. This comprehensive review article explores recent applications of AI in the realm of cardiac magnetic resonance imaging, offering insights into its transformative potential in the field.
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Affiliation(s)
- Manuel Villegas-Martinez
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604, Pessac, France
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Victor de Villedon de Naide
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604, Pessac, France
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Vivek Muthurangu
- Center for Cardiovascular Imaging, UCL Institute of Cardiovascular Science, University College London, London, WC1N 1EH, UK
| | - Aurélien Bustin
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Hôpital Xavier Arnozan, Université de Bordeaux-INSERM U1045, Avenue du Haut Lévêque, 33604, Pessac, France.
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France.
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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7
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Kim NY, Im DJ, Hong YJ, Choi BW, Kang SM, Youn JC, Lee HJ. Feasibility of the Threshold-Based Quantification of Myocardial Fibrosis on Cardiac CT as a Prognostic Marker in Nonischemic Dilated Cardiomyopathy. Korean J Radiol 2024; 25:540-549. [PMID: 38807335 PMCID: PMC11136943 DOI: 10.3348/kjr.2023.1271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/26/2024] [Accepted: 03/22/2024] [Indexed: 05/30/2024] Open
Abstract
OBJECTIVE This study investigated the feasibility and prognostic relevance of threshold-based quantification of myocardial delayed enhancement (MDE) on CT in patients with nonischemic dilated cardiomyopathy (NIDCM). MATERIALS AND METHODS Forty-three patients with NIDCM (59.3 ± 17.1 years; 21 male) were included in the study and underwent cardiac CT and MRI. MDE was quantified manually and with a threshold-based quantification method using cutoffs of 2, 3, and 4 standard deviations (SDs) on three sets of CT images (100 kVp, 120 kVp, and 70 keV). Interobserver agreement in MDE quantification was assessed using the intraclass correlation coefficient (ICC). Agreement between CT and MRI was evaluated using the Bland-Altman method and the concordance correlation coefficient (CCC). Patients were followed up for the subsequent occurrence of the primary composite outcome, including cardiac death, heart transplantation, heart failure hospitalization, or appropriate use of an implantable cardioverter-defibrillator. The Kaplan-Meier method was used to estimate event-free survival according to MDE levels. RESULTS Late gadolinium enhancement (LGE) was observed in 29 patients (67%, 29/43), and the mean LGE found with the 5-SD threshold was 4.1% ± 3.6%. The 4-SD threshold on 70-keV CT showed excellent interobserver agreement (ICC = 0.810) and the highest concordance with MRI (CCC = 0.803). This method also yielded the smallest bias with the narrowest range of 95% limits of agreement compared to MRI (bias, -0.119%; 95% limits of agreement, -4.216% to 3.978%). During a median follow-up of 1625 days (interquartile range, 712-1430 days), 10 patients (23%, 10/43) experienced the primary composite outcome. Event-free survival significantly differed between risk subgroups divided by the optimal MDE cutoff of 4.3% (log-rank P = 0.005). CONCLUSION The 4-SD threshold on 70-keV monochromatic CT yielded results comparable to those of MRI for quantifying MDE as a marker of myocardial fibrosis, which showed prognostic value in patients with NIDCM.
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Affiliation(s)
- Na Young Kim
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong Jin Im
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yoo Jin Hong
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byoung Wook Choi
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seok-Min Kang
- Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jong-Chan Youn
- Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
| | - Hye-Jeong Lee
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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8
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de Villedon de Naide V, Maes JD, Villegas-Martinez M, Ribal I, Maillot A, Ozenne V, Montier G, Boullé T, Sridi S, Gut P, Küstner T, Stuber M, Cochet H, Bustin A. Fully automated contrast selection of joint bright- and black-blood late gadolinium enhancement imaging for robust myocardial scar assessment. Magn Reson Imaging 2024; 109:256-263. [PMID: 38522623 PMCID: PMC11116338 DOI: 10.1016/j.mri.2024.03.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 03/14/2024] [Accepted: 03/21/2024] [Indexed: 03/26/2024]
Abstract
PURPOSE Joint bright- and black-blood MRI techniques provide improved scar localization and contrast. Black-blood contrast is obtained after the visual selection of an optimal inversion time (TI) which often results in uncertainties, inter- and intra-observer variability and increased workload. In this work, we propose an artificial intelligence-based algorithm to enable fully automated TI selection and simplify myocardial scar imaging. METHODS The proposed algorithm first localizes the left ventricle using a U-Net architecture. The localized left cavity centroid is extracted and a squared region of interest ("focus box") is created around the resulting pixel. The focus box is then propagated on each image and the sum of the pixel intensity inside is computed. The smallest sum corresponds to the image with the lowest intensity signal within the blood pool and healthy myocardium, which will provide an ideal scar-to-blood contrast. The image's corresponding TI is considered optimal. The U-Net was trained to segment the epicardium in 177 patients with binary cross-entropy loss. The algorithm was validated retrospectively in 152 patients, and the agreement between the algorithm and two magnetic resonance (MR) operators' prediction of TI values was calculated using the Fleiss' kappa coefficient. Thirty focus box sizes, ranging from 2.3mm2 to 20.3cm2, were tested. Processing times were measured. RESULTS The U-Net's Dice score was 93.0 ± 0.1%. The proposed algorithm extracted TI values in 2.7 ± 0.1 s per patient (vs. 16.0 ± 8.5 s for the operator). An agreement between the algorithm's prediction and the MR operators' prediction was found in 137/152 patients (κ= 0.89), for an optimal focus box of size 2.3cm2. CONCLUSION The proposed fully-automated algorithm has potential of reducing uncertainties, variability, and workload inherent to manual approaches with promise for future clinical implementation for joint bright- and black-blood MRI.
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Affiliation(s)
| | - Jean-David Maes
- CHU de Bordeaux, Department of Cardiovascular Imaging, INSERM, U 1045, F-33000 Bordeaux, France
| | | | - Indra Ribal
- Université de Bordeaux, INSERM, CRCTB, U 1045, IHU Liryc, F-33000 Bordeaux, France
| | - Aurélien Maillot
- Université de Bordeaux, INSERM, CRCTB, U 1045, IHU Liryc, F-33000 Bordeaux, France
| | - Valéry Ozenne
- Université de Bordeaux, INSERM, CRCTB, U 1045, IHU Liryc, F-33000 Bordeaux, France
| | - Géraldine Montier
- CHU de Bordeaux, Department of Cardiovascular Imaging, INSERM, U 1045, F-33000 Bordeaux, France
| | - Thibaut Boullé
- CHU de Bordeaux, Department of Cardiovascular Imaging, INSERM, U 1045, F-33000 Bordeaux, France
| | - Soumaya Sridi
- CHU de Bordeaux, Department of Cardiovascular Imaging, INSERM, U 1045, F-33000 Bordeaux, France
| | - Pauline Gut
- Université de Bordeaux, INSERM, CRCTB, U 1045, IHU Liryc, F-33000 Bordeaux, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Thomas Küstner
- Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, 72076 Tübingen, Germany
| | - Matthias Stuber
- Université de Bordeaux, INSERM, CRCTB, U 1045, IHU Liryc, F-33000 Bordeaux, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - Hubert Cochet
- Université de Bordeaux, INSERM, CRCTB, U 1045, IHU Liryc, F-33000 Bordeaux, France; CHU de Bordeaux, Department of Cardiovascular Imaging, INSERM, U 1045, F-33000 Bordeaux, France
| | - Aurélien Bustin
- Université de Bordeaux, INSERM, CRCTB, U 1045, IHU Liryc, F-33000 Bordeaux, France; CHU de Bordeaux, Department of Cardiovascular Imaging, INSERM, U 1045, F-33000 Bordeaux, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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9
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Karur GR, Aneja A, Stojanovska J, Hanneman K, Latchamsetty R, Kersting D, Rajiah PS. Imaging of Cardiac Fibrosis: An Update, From the AJR Special Series on Imaging of Fibrosis. AJR Am J Roentgenol 2024; 222:e2329870. [PMID: 37753860 DOI: 10.2214/ajr.23.29870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
Myocardial fibrosis (MF) is defined as excessive production and deposition of extra-cellular matrix proteins that result in pathologic myocardial remodeling. Three types of MF have been identified: replacement fibrosis from tissue necrosis, reactive fibrosis from myocardial stress, and infiltrative interstitial fibrosis from progressive deposition of nondegradable material such as amyloid. Although echocardiography, nuclear medicine, and CT play important roles in the assessment of MF, MRI is pivotal in the evaluation of MF, with the late gadolinium enhancement (LGE) technique used as a primary end point. The LGE technique focuses on the pattern and distribution of gadolinium accumulation in the myocardium and assists in the diagnosis and establishment of the cause of both ischemic and nonischemic cardiomyopathy. LGE MRI also aids prognostication and risk stratification. In addition, LGE MRI is used to guide the management of patients considered for ablation for arrhythmias. Parametric mapping techniques, including T1 mapping and extracellular volume measurement, allow detection and quantification of diffuse fibrosis, which may not be detected by LGE MRI. These techniques also allow monitoring of disease progression and therapy response. This review provides an update on the imaging of MF, including prognostication and risk stratification tools, electrophysiologic considerations, and disease monitoring.
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Affiliation(s)
- Gauri R Karur
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
- Joint Department of Medical Imaging, University Medical Imaging Toronto, Toronto General Hospital, Toronto, ON, Canada
| | - Ashish Aneja
- Department of Cardiology, MetroHealth System, Cleveland, OH
| | | | - Kate Hanneman
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
- Joint Department of Medical Imaging, University Medical Imaging Toronto, Toronto General Hospital, Toronto, ON, Canada
| | | | - David Kersting
- Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, Essen, Germany
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10
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Falzone PV, Vazquez-Calvo S, Roca-Luque I. Catheter Ablation of Ventricular Tachycardia in Ischemic Heart Disease: What Is Known and New Perspectives. Curr Heart Fail Rep 2024; 21:174-185. [PMID: 38536648 DOI: 10.1007/s11897-024-00656-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/04/2024] [Indexed: 05/14/2024]
Abstract
PURPOSE OF THE REVIEW This review aims to evaluate current evidence regarding ventricular tachycardia ablation in patients with ischemic heart disease and explore novel approaches currently developing to improve procedural and long-term outcomes. RECENT FINDINGS Recently published trials (PARTITA, PAUSE-SCD, and SURVIVE-VT) have demonstrated the prognostic benefit of prophylactic ventricular tachycardia ablation compared to current clinical practice. Advanced cardiac imaging provides a valuable pre-procedural evaluation of the arrhythmogenic substrate, identifying ablation targets non-invasively. Advanced cardiac mapping techniques allow to better characterize arrhythmogenic substrate during ablation procedure. Emerging technologies like pulsed field ablation and ultra-low temperature cryoablation show promise in ventricular tachycardia ablation. Advancements in mapping techniques, ablation technologies, and pre-procedural cardiac imaging offer promise for improving ventricular tachycardia ablation outcomes in ischemic heart disease.
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Affiliation(s)
- Pasquale Valerio Falzone
- Institut Clinic Cardiovascular, Hospital Clínic, Universitat de Barcelona, Carrer de Villaroel 170, 08036, Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Sara Vazquez-Calvo
- Institut Clinic Cardiovascular, Hospital Clínic, Universitat de Barcelona, Carrer de Villaroel 170, 08036, Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Ivo Roca-Luque
- Institut Clinic Cardiovascular, Hospital Clínic, Universitat de Barcelona, Carrer de Villaroel 170, 08036, Barcelona, Catalonia, Spain.
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
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11
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Ren K, Hou S, Johnson SE, Lomasney J, Haney CR, Lee J, Ge Z, Lee DC, Goldberger JJ, Arora R, Zhao M. In Vivo Mapping of Myocardial Injury Outside the Infarct Zone: Tissue at an Intermediate Pathological State. J Am Heart Assoc 2024; 13:e032577. [PMID: 38639350 PMCID: PMC11179872 DOI: 10.1161/jaha.123.032577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 03/21/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND The goal was to determine the feasibility of mapping the injured-but-not-infarcted myocardium using 99mTc-duramycin in the postischemic heart, with spatial information for its characterization as a pathophysiologically intermediate tissue, which is neither normal nor infarcted. METHODS AND RESULTS Coronary occlusion was conducted in Sprague Dawley rats with preconditioning and 30-minute ligation. In vivo single-photon emission computed tomography was acquired after 3 hours (n=6) using 99mTc-duramycin, a phosphatidylethanolamine-specific radiopharmaceutical. The 99mTc-duramycin+ areas were compared with infarct and area-at-risk (n=8). Cardiomyocytes and endothelial cells were isolated for gene expression profiling. Cardiac function was measured with echocardiography (n=6) at 4 weeks. In vivo imaging with 99mTc-duramycin identified the infarct (3.9±2.4% of the left ventricle and an extensive area 23.7±2.2% of the left ventricle) with diffuse signal outside the infarct, which is pathologically between normal and infarcted (apoptosis 1.8±1.6, 8.9±4.2, 13.6±3.8%; VCAM-1 [vascular cell adhesion molecule 1] 3.2±0.8, 9.8±4.1, 15.9±4.2/mm2; tyrosine hydroxylase 14.9±2.8, 8.6±4.4, 5.6±2.2/mm2), with heterogeneous changes including scattered micronecrosis, wavy myofibrils, hydropic change, and glycogen accumulation. The 99mTc-duramycin+ tissue is quantitatively smaller than the area-at-risk (26.7% versus 34.4% of the left ventricle, P=0.008). Compared with infarct, gene expression in the 99mTc-duramycin+-noninfarct tissue indicated a greater prosurvival ratio (BCL2/BAX [B-cell lymphoma 2/BCL2-associated X] 7.8 versus 5.7 [cardiomyocytes], 3.7 versus 3.2 [endothelial]), and an upregulation of ion channels in electrophysiology. There was decreased contractility at 4 weeks (regional fractional shortening -8.6%, P<0.05; circumferential strain -52.9%, P<0.05). CONCLUSIONS The injured-but-not-infarcted tissue, being an intermediate zone between normal and infarct, is mapped in vivo using phosphatidylethanolamine-based imaging. The intermediate zone contributes significantly to cardiac dysfunction.
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Affiliation(s)
- Kaixi Ren
- Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
- Present address:
Department of NeurologyTangdu Hospital, Air Force Medical UniversityXi’anShaanxiP.R. China
| | - Songwang Hou
- Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
| | - Steven E. Johnson
- Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
| | - Jon Lomasney
- Department of Pathology, Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | - Chad R. Haney
- Center for Advanced Molecular Imaging, Chemistry of Life ProcessesNorthwestern UniversityEvanstonILUSA
| | - Jungwha Lee
- Preventive Medicine, Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | - Zhi‐dong Ge
- Cardiovascular‐Thoracic Surgery and the Heart CenterStanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Departments of Pediatrics and Surgery, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
| | - Daniel C. Lee
- Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
| | - Jeffrey J. Goldberger
- Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
- Present address:
Cardiovascular Medicine Division, Department of MedicineUniversity of Miami Miller School of MedicineMiamiFLUSA
| | - Rishi Arora
- Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
| | - Ming Zhao
- Feinberg Cardiovascular and Renal Research Institute, Feinberg School of Medicine, Northwestern UniversityChicagoILUSA
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12
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Halaby RN, Bruce CG, Kolandaivelu A, Bhatia NK, Rogers T, Khan JM, Yildirim DK, Jaimes AE, O'Brien K, Babaliaros VC, Greenbaum AB, Lederman RJ. Ventricular Intramyocardial Navigation for Tachycardia Ablation Guided by Electrograms (VINTAGE): Deep Ablation in Inaccessible Targets. JACC Clin Electrophysiol 2024; 10:814-825. [PMID: 38811066 DOI: 10.1016/j.jacep.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND Deep intramural ventricular tachycardia substrate targets are difficult to access, map, and ablate from endocardial and epicardial surfaces, resulting in high recurrence rates. OBJECTIVES In this study, the authors introduce a novel approach called ventricular intramyocardial navigation for tachycardia ablation guided by electrograms (VINTAGE) to access and ablate anatomically challenging ventricular tachycardia from within the myocardium. METHODS Guidewire/microcatheter combinations were navigated deep throughout the extravascular myocardium, accessed directly from the right ventricle cavity, in Yorkshire swine (6 naive, 1 infarcted). Devices were steered to various intramyocardial targets including the left ventricle summit, guided by fluoroscopy, unipolar electrograms, and/or electroanatomic mapping. Radiofrequency ablations were performed to characterize ablation parameters and reproducibility. Intramyocardial saline irrigation began 1 minute before ablation and continued throughout. Lesions were analyzed on cardiac magnetic resonance and necropsy. RESULTS VINTAGE was feasible in all animals within naive and infarcted myocardium. Forty-three lesions were created, using various guidewires and power settings. Forty-one (95%) lesions were detected on cardiac magnetic resonance and 38 (88%) on necropsy; all undetected lesions resulted from intentionally subtherapeutic ablation energy (10 W). Larger-diameter guidewires yielded larger size lesions. Lesion volumes on necropsy were significantly larger at 20 W than 10 W (178 mm3 [Q1-Q3: 104-382 mm3] vs 49 mm3 [Q1-Q3: 35-93 mm3]; P = 0.02). Higher power (30 W) did not create larger lesions. Median impedance dropped with preablation irrigation by 12 Ω (Q1-Q3: 8-17 Ω), followed by a further 15-Ω (Q1-Q3: 11-19 Ω) drop during ablation. Intramyocardial navigation, ablation, and irrigation were not associated with any complications. CONCLUSIONS VINTAGE was safe and effective at creating intramural ablation lesions in targets traditionally considered inaccessible from the endocardium and epicardium, both naive and infarcted. Intramyocardial guidewire irrigation and ablation at 20 W creates reproducibly large intramural lesions.
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Affiliation(s)
- Rim N Halaby
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Christopher G Bruce
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA; Emory University Hospital, Atlanta, Georgia, USA
| | - Aravindan Kolandaivelu
- Division of Cardiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Toby Rogers
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA; MedStar Washington Hospital Center, Washington, DC, USA
| | - Jaffar M Khan
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA; St Francis Hospital, Roslyn, New York, USA
| | - D Korel Yildirim
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Andi E Jaimes
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Kendall O'Brien
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | | | - Robert J Lederman
- Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
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13
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Ha S, Jang Y, Lee BK, Hong Y, Kim BK, Park S, Yoo SK, Chang HJ. Simultaneous Viability Assessment and Invasive Coronary Angiography Using a Therapeutic CT System in Chronic Myocardial Infarction Patients. Yonsei Med J 2024; 65:257-264. [PMID: 38653564 PMCID: PMC11045343 DOI: 10.3349/ymj.2023.0208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 12/13/2023] [Accepted: 12/23/2023] [Indexed: 04/25/2024] Open
Abstract
PURPOSE In a preclinical study using a swine myocardial infarction (MI) model, a delayed enhancement (DE)-multi-detector computed tomography (MDCT) scan was performed using a hybrid system alongside diagnostic invasive coronary angiography (ICA) without the additional use of a contrast agent, and demonstrated an excellent correlation in the infarct area compared with histopathologic specimens. In the present investigation, we evaluated the feasibility and diagnostic accuracy of a myocardial viability assessment by DE-MDCT using a hybrid system comprising ICA and MDCT alongside diagnostic ICA without the additional use of a contrast agent. MATERIALS AND METHODS We prospectively enrolled 13 patients (median age: 67 years) with a previous MI (>6 months) scheduled to undergo ICA. All patients underwent cardiac magnetic resonance (CMR) imaging before diagnostic ICA. MDCT viability scans were performed concurrently with diagnostic ICA without the use of additional contrast. The total myocardial scar volume per patient and average transmurality per myocardial segment measured by DE-MDCT were compared with those from DE-CMR. RESULTS The DE volume measured by MDCT showed an excellent correlation with the volume measured by CMR (r=0.986, p<0.0001). The transmurality per segment by MDCT was well-correlated with CMR (r=0.900, p<0.0001); the diagnostic performance of MDCT in differentiating non-viable from viable myocardium using a 50% transmurality criterion was good with a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 87.5%, 99.5%, 87.5%, 99.5%, and 99.1%, respectively. CONCLUSION The feasibility of the DE-MDCT viability assessment acquired simultaneously with conventional ICA was proven in patients with chronic MI using DE-CMR as the reference standard.
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Affiliation(s)
- Seongmin Ha
- Graduate Program of Biomedical Engineering, Yonsei University College of Medicine, Seoul, Korea
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Korea
| | - Yeonggul Jang
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Korea
- Brain Korea 21 Project for Medical Science Yonsei University, Seoul, Korea
| | - Byoung Kwon Lee
- Department of Internal Medicine, Yonsei University Gangnam Severance Hospital, Seoul, Korea
| | - Youngtaek Hong
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Korea
- Ontact Health Co., Ltd., Seoul, Korea
| | - Byeong-Keuk Kim
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Seil Park
- Cardiovascular Product Evaluation Center, Yonsei University College of Medicine, Seoul, Korea
| | - Sun Kook Yoo
- Department of Medical Engineering, Yonsei University College of Medicine, Seoul, Korea.
| | - Hyuk-Jae Chang
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Korea
- Ontact Health Co., Ltd., Seoul, Korea
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.
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14
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Bustin A, Pineau X, Sridi S, van Heeswijk RB, Jaïs P, Stuber M, Cochet H. Assessment of myocardial injuries in ischaemic and non-ischaemic cardiomyopathies using magnetic resonance T1-rho mapping. Eur Heart J Cardiovasc Imaging 2024; 25:548-557. [PMID: 37987558 DOI: 10.1093/ehjci/jead319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 10/30/2023] [Accepted: 11/16/2023] [Indexed: 11/22/2023] Open
Abstract
AIMS To identify clinical correlates of myocardial T1ρ and to examine how myocardial T1ρ values change under various clinical scenarios. METHODS AND RESULTS A total of 66 patients (26% female, median age 57 years [Q1-Q3, 44-65 years]) with known structural heart disease and 44 controls (50% female, median age 47 years [28-57 years]) underwent cardiac magnetic resonance imaging at 1.5 T, including T1ρ mapping, T2 mapping, native T1 mapping, late gadolinium enhancement, and extracellular volume (ECV) imaging. In controls, T1ρ positively related with T2 (P = 0.038) and increased from basal to apical levels (P < 0.001). As compared with controls and remote myocardium, T1ρ significantly increased in all patients' sub-groups and all types of myocardial injuries: acute and chronic injuries, focal and diffuse tissue abnormalities, as well as ischaemic and non-ischaemic aetiologies (P < 0.05). T1ρ was independently associated with T2 in patients with acute injuries (P = 0.004) and with native T1 and ECV in patients with chronic injuries (P < 0.05). Myocardial T1ρ mapping demonstrated good intra- and inter-observer reproducibility (intraclass correlation coefficient = 0.86 and 0.83, respectively). CONCLUSION Myocardial T1ρ mapping appears to be reproducible and equally sensitive to acute and chronic myocardial injuries, whether of ischaemic or non-ischaemic origins. It may thus be a contrast-agent-free biomarker for gaining new and quantitative insight into myocardial structural disorders. These findings highlight the need for further studies through prospective and randomized trials.
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Affiliation(s)
- Aurélien Bustin
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Avenue du Haut Lévêque, 33604 Pessac, France
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Xavier Pineau
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France
| | - Soumaya Sridi
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France
| | - Ruud B van Heeswijk
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Pierre Jaïs
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Avenue du Haut Lévêque, 33604 Pessac, France
- Department of Cardiac Electrophysiology, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France
| | - Matthias Stuber
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Avenue du Haut Lévêque, 33604 Pessac, France
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Hubert Cochet
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Avenue du Haut Lévêque, 33604 Pessac, France
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604 Pessac, France
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15
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Jada L, Holtackers RJ, Martens B, Nies HMJM, Van De Heyning CM, Botnar RM, Wildberger JE, Ismail TF, Razavi R, Chiribiri A. Quantification of myocardial scar of different etiology using dark- and bright-blood late gadolinium enhancement cardiovascular magnetic resonance. Sci Rep 2024; 14:5395. [PMID: 38443457 PMCID: PMC10914833 DOI: 10.1038/s41598-024-52058-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 01/12/2024] [Indexed: 03/07/2024] Open
Abstract
Dark-blood late gadolinium enhancement (LGE) has been shown to improve the visualization and quantification of areas of ischemic scar compared to standard bright-blood LGE. Recently, the performance of various semi-automated quantification methods has been evaluated for the assessment of infarct size using both dark-blood LGE and conventional bright-blood LGE with histopathology as a reference standard. However, the impact of this sequence on different quantification strategies in vivo remains uncertain. In this study, various semi-automated scar quantification methods were evaluated for a range of different ischemic and non-ischemic pathologies encountered in clinical practice. A total of 62 patients referred for clinical cardiovascular magnetic resonance (CMR) were retrospectively included. All patients had a confirmed diagnosis of either ischemic heart disease (IHD; n = 21), dilated/non-ischemic cardiomyopathy (NICM; n = 21), or hypertrophic cardiomyopathy (HCM; n = 20) and underwent CMR on a 1.5 T scanner including both bright- and dark-blood LGE using a standard PSIR sequence. Both methods used identical sequence settings as per clinical protocol, apart from the inversion time parameter, which was set differently. All short-axis LGE images with scar were manually segmented for epicardial and endocardial borders. The extent of LGE was then measured visually by manual signal thresholding, and semi-automatically by signal thresholding using the standard deviation (SD) and the full width at half maximum (FWHM) methods. For all quantification methods in the IHD group, except the 6 SD method, dark-blood LGE detected significantly more enhancement compared to bright-blood LGE (p < 0.05 for all methods). For both bright-blood and dark-blood LGE, the 6 SD method correlated best with manual thresholding (16.9% vs. 17.1% and 20.1% vs. 20.4%, respectively). For the NICM group, no significant differences between LGE methods were found. For bright-blood LGE, the 5 SD method agreed best with manual thresholding (9.3% vs. 11.0%), while for dark-blood LGE the 4 SD method agreed best (12.6% vs. 11.5%). Similarly, for the HCM group no significant differences between LGE methods were found. For bright-blood LGE, the 6 SD method agreed best with manual thresholding (10.9% vs. 12.2%), while for dark-blood LGE the 5 SD method agreed best (13.2% vs. 11.5%). Semi-automated LGE quantification using dark-blood LGE images is feasible in both patients with ischemic and non-ischemic scar patterns. Given the advantage in detecting scar in patients with ischemic heart disease and no disadvantage in patients with non-ischemic scar, dark-blood LGE can be readily and widely adopted into clinical practice without compromising on quantification.
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Affiliation(s)
- Lamis Jada
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
| | - Robert J Holtackers
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hedwig M J M Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Caroline M Van De Heyning
- GENCOR, University of Antwerp, Antwerp, Belgium
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Rene M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Tevfik F Ismail
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Reza Razavi
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom
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Zhao M, Shen D, Fan L, Hong K, Feng L, Benefield BC, Allen BD, Lee DC, Kim D. Incorporation of view sharing and KWIC filtering into GRASP-Pro improves spatial resolution of single-shot, multi-TI, late gadolinium enhancement MRI. NMR IN BIOMEDICINE 2024; 37:e5059. [PMID: 37872862 PMCID: PMC10922561 DOI: 10.1002/nbm.5059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/14/2023] [Accepted: 09/19/2023] [Indexed: 10/25/2023]
Abstract
While single-shot late gadolinium enhancement (LGE) is useful for imaging patients with arrhythmia and/or dyspnea, it produces low spatial resolution. One approach to improve spatial resolution is to accelerate data acquisition using compressed sensing (CS). Our previous work described a single-shot, multi-inversion time (TI) LGE pulse sequence using radial k-space sampling and CS, but over-regularization resulted in significant image blurring that muted the benefits of data acceleration. The purpose of the present study was to improve the spatial resolution of the single-shot, multi-TI LGE pulse sequence by incorporating view sharing (VS) and k-space weighted contrast (KWIC) filtering into a GRASP-Pro reconstruction. In 24 patients (mean age = 61 ± 16 years; 9/15 females/males), we compared the performance of our improved multi-TI LGE and standard multi-TI LGE, where clinical standard LGE was used as a reference. Two clinical raters independently graded multi-TI images and clinical LGE images visually on a five-point Likert scale (1, nondiagnostic; 3, clinically acceptable; 5, best) for three categories: the conspicuity of myocardium or scar, artifact, and noise. The summed visual score (SVS) was defined as the sum of the three scores. Myocardial scar volume was quantified using the full-width at half-maximum method. The SVS was not significantly different between clinical breath-holding LGE (median 13.5, IQR 1.3) and multi-TI LGE (median 12.5, IQR 1.6) (P = 0.068). The myocardial scar volumes measured from clinical standard LGE and multi-TI LGE were strongly correlated (coefficient of determination, R2 = 0.99) and in good agreement (mean difference = 0.11%, lower limit of the agreement = -2.13%, upper limit of the agreement = 2.34%). The inter-rater agreement in myocardial scar volume quantification was strong (intraclass correlation coefficient = 0.79). The incorporation of VS and KWIC into GRASP-Pro improved spatial resolution. Our improved 25-fold accelerated, single-shot LGE sequence produces clinically acceptable image quality, multi-TI reconstruction, and accurate myocardial scar volume quantification.
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Affiliation(s)
- Mingyue Zhao
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Department of Biomedical Engineering, Northwestern University, Evanston, IL
| | | | - Lexiaozi Fan
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Kyungpyo Hong
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Li Feng
- Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, NY
| | - Brandon C. Benefield
- Division of Cardiology, Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Bradley D. Allen
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Daniel C. Lee
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Division of Cardiology, Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Daniel Kim
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
- Department of Biomedical Engineering, Northwestern University, Evanston, IL
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17
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Xie C, Zhang R, Mensink S, Gandharva R, Awni M, Lim H, Kachel SE, Cheung E, Crawley R, Churilov L, Bettencourt N, Chiribiri A, Scannell CM, Lim RP. Automated inversion time selection for late gadolinium-enhanced cardiac magnetic resonance imaging. Eur Radiol 2024:10.1007/s00330-024-10630-w. [PMID: 38337070 DOI: 10.1007/s00330-024-10630-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVES To develop and share a deep learning method that can accurately identify optimal inversion time (TI) from multi-vendor, multi-institutional and multi-field strength inversion scout (TI scout) sequences for late gadolinium enhancement cardiac MRI. MATERIALS AND METHODS Retrospective multicentre study conducted on 1136 1.5-T and 3-T cardiac MRI examinations from four centres and three scanner vendors. Deep learning models, comprising a convolutional neural network (CNN) that provides input to a long short-term memory (LSTM) network, were trained on TI scout pixel data from centres 1 to 3 to identify optimal TI, using ground truth annotations by two readers. Accuracy within 50 ms, mean absolute error (MAE), Lin's concordance coefficient (LCCC) and reduced major axis regression (RMAR) were used to select the best model from validation results, and applied to holdout test data. Robustness of the best-performing model was also tested on imaging data from centre 4. RESULTS The best model (SE-ResNet18-LSTM) produced accuracy of 96.1%, MAE 22.9 ms and LCCC 0.47 compared to ground truth on the holdout test set and accuracy of 97.3%, MAE 15.2 ms and LCCC 0.64 when tested on unseen external (centre 4) data. Differences in vendor performance were observed, with greatest accuracy for the most commonly represented vendor in the training data. CONCLUSION A deep learning model was developed that can identify optimal inversion time from TI scout images on multi-vendor data with high accuracy, including on previously unseen external data. We make this model available to the scientific community for further assessment or development. CLINICAL RELEVANCE STATEMENT A robust automated inversion time selection tool for late gadolinium-enhanced imaging allows for reproducible and efficient cross-vendor inversion time selection. KEY POINTS • A model comprising convolutional and recurrent neural networks was developed to extract optimal TI from TI scout images. • Model accuracy within 50 ms of ground truth on multi-vendor holdout and external data of 96.1% and 97.3% respectively was achieved. • This model could improve workflow efficiency and standardise optimal TI selection for consistent LGE imaging.
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Affiliation(s)
- Cheng Xie
- Melbourne Bioinnovation Student Initiative (MBSI), Parkville, VIC, Australia
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Rory Zhang
- Melbourne Bioinnovation Student Initiative (MBSI), Parkville, VIC, Australia
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Sebastian Mensink
- Melbourne Bioinnovation Student Initiative (MBSI), Parkville, VIC, Australia
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Rahul Gandharva
- Melbourne Bioinnovation Student Initiative (MBSI), Parkville, VIC, Australia
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Mustafa Awni
- Melbourne Bioinnovation Student Initiative (MBSI), Parkville, VIC, Australia
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Hester Lim
- Melbourne Bioinnovation Student Initiative (MBSI), Parkville, VIC, Australia
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Stefan E Kachel
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
- Melbourne Medical School, The University of Melbourne, Parkville, VIC, Australia
| | - Ernest Cheung
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | | | - Leonid Churilov
- Melbourne Medical School, The University of Melbourne, Parkville, VIC, Australia
| | | | | | - Cian M Scannell
- King's College London, Strand, London, UK
- Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Ruth P Lim
- Department of Radiology, Artificial Intelligence in Radiology Laboratory, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia.
- Melbourne Medical School, The University of Melbourne, Parkville, VIC, Australia.
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18
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Bekheet M, Sallah M, Alghamdi NS, Rusu-Both R, Elgarayhi A, Elmogy M. Cardiac Fibrosis Automated Diagnosis Based on FibrosisNet Network Using CMR Ischemic Cardiomyopathy. Diagnostics (Basel) 2024; 14:255. [PMID: 38337771 PMCID: PMC10855193 DOI: 10.3390/diagnostics14030255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Ischemic heart condition is one of the most prevalent causes of death that can be treated more effectively and lead to fewer fatalities if identified early. Heart muscle fibrosis affects the diastolic and systolic function of the heart and is linked to unfavorable cardiovascular outcomes. Cardiac magnetic resonance (CMR) scarring, a risk factor for ischemic heart disease, may be accurately identified by magnetic resonance imaging (MRI) to recognize fibrosis. In the past few decades, numerous methods based on MRI have been employed to identify and categorize cardiac fibrosis. Because they increase the therapeutic advantages and the likelihood that patients will survive, developing these approaches is essential and has significant medical benefits. A brand-new method that uses MRI has been suggested to help with diagnosing. Advances in deep learning (DL) networks contribute to the early and accurate diagnosis of heart muscle fibrosis. This study introduces a new deep network known as FibrosisNet, which detects and classifies fibrosis if it is present. It includes some of 17 various series layers to achieve the fibrosis detection target. The introduced classification system is trained and evaluated for the best performance results. In addition, deep transfer-learning models are applied to the different famous convolution neural networks to find fibrosis detection architectures. The FibrosisNet architecture achieves an accuracy of 96.05%, a sensitivity of 97.56%, and an F1-Score of 96.54%. The experimental results show that FibrosisNet has numerous benefits and produces higher results than current state-of-the-art methods and other advanced CNN approaches.
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Affiliation(s)
- Mohamed Bekheet
- Applied Mathematical Physics Research Group, Physics Department, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
- Radiography and Medical Imaging Department, Faculty of Applied Health Sciences Technology, Sphinx University, New Assiut 71515, Egypt
| | - Mohammed Sallah
- Department of Physics, College of Sciences, University of Bisha, P.O. Box 344, Bisha 61922, Saudi Arabia
| | - Norah S. Alghamdi
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Roxana Rusu-Both
- Automation Department, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania
| | - Ahmed Elgarayhi
- Applied Mathematical Physics Research Group, Physics Department, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
| | - Mohammed Elmogy
- Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt
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Kumar A, Connelly K, Vora K, Bainey KR, Howarth A, Leipsic J, Betteridge-LeBlanc S, Prato FS, Leong-Poi H, Main A, Atoui R, Saw J, Larose E, Graham MM, Ruel M, Dharmakumar R. The Canadian Cardiovascular Society Classification of Acute Atherothrombotic Myocardial Infarction Based on Stages of Tissue Injury Severity: An Expert Consensus Statement. Can J Cardiol 2024; 40:1-14. [PMID: 37906238 DOI: 10.1016/j.cjca.2023.09.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 09/09/2023] [Accepted: 09/10/2023] [Indexed: 11/02/2023] Open
Abstract
Myocardial infarction (MI) remains a leading cause of morbidity and mortality. In atherothrombotic MI (ST-elevation MI and type 1 non-ST-elevation MI), coronary artery occlusion leads to ischemia. Subsequent cardiomyocyte necrosis evolves over time as a wavefront within the territory at risk. The spectrum of ischemia and reperfusion injury is wide: it can be minimal in aborted MI or myocardial necrosis can be large and complicated by microvascular obstruction and reperfusion hemorrhage. Established risk scores and infarct classifications help with patient management but do not consider tissue injury characteristics. This document outlines the Canadian Cardiovascular Society classification of acute MI. It is an expert consensus formed on the basis of decades of data on atherothrombotic MI with reperfusion therapy. Four stages of progressively worsening myocardial tissue injury are identified: (1) aborted MI (no/minimal myocardial necrosis); (2) MI with significant cardiomyocyte necrosis, but without microvascular injury; (3) cardiomyocyte necrosis and microvascular dysfunction leading to microvascular obstruction (ie, "no-reflow"); and (4) cardiomyocyte and microvascular necrosis leading to reperfusion hemorrhage. Each stage reflects progression of tissue pathology of myocardial ischemia and reperfusion injury from the previous stage. Clinical studies have shown worse remodeling and increase in adverse clinical outcomes with progressive injury. Notably, microvascular injury is of particular importance, with the most severe form (hemorrhagic MI) leading to infarct expansion and risk of mechanical complications. This classification has the potential to stratify risk in MI patients and lay the groundwork for development of new, injury stage-specific and tissue pathology-based therapies for MI.
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Affiliation(s)
- Andreas Kumar
- Northern Ontario School of Medicine University, and Department of Cardiovascular Sciences, Health Sciences North, Sudbury, Ontario, Canada; Health Sciences North, Sudbury, Ontario, Canada.
| | - Kim Connelly
- Keenan Research Centre for Biomedical Science, Unity Health Toronto, St Michael's Hospital, University of Toronto, and Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Keyur Vora
- Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Kevin R Bainey
- University of Alberta, Faculty of Medicine and Dentistry, Mazankowski Alberta Heart Institute, Canadian VIGOUR Centre, Edmonton, Alberta, Canada
| | - Andrew Howarth
- Cardiac Sciences, Faculty of Medicine, University of Calgary, and Libin Cardiovascular Institute, Calgary, Alberta, Canada
| | - Jonathon Leipsic
- Departments of Radiology and Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Suzanne Betteridge-LeBlanc
- Health Sciences North, Sudbury, Ontario, Canada; Northern Ontario School of Medicine University, and Health Sciences North, Sudbury, Ontario, Canada
| | - Frank S Prato
- Lawson Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Howard Leong-Poi
- The Division of Cardiology, St Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Main
- Northern Ontario School of Medicine University, and Department of Cardiovascular Sciences, Health Sciences North, Sudbury, Ontario, Canada; Health Sciences North, Sudbury, Ontario, Canada
| | - Rony Atoui
- Northern Ontario School of Medicine University, and Department of Surgery, Health Sciences North, Sudbury, Ontario, Canada
| | - Jacqueline Saw
- Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Eric Larose
- Department of Medicine, University of Laval, Quebec City, Quebec, Canada
| | - Michelle M Graham
- Division of Cardiology, University of Alberta, Faculty of Medicine and Dentistry, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada
| | - Marc Ruel
- University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Rohan Dharmakumar
- Krannert Cardiovascular Research Center, Indiana University School of Medicine/IU Health Cardiovascular Institute, Indianapolis, Indiana, USA
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20
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Cho DH, Son JW, Kim YI, Lim J, Jeon HS, Ko SM, Cha YS. Clinical and Echocardiographic Predictors for the Presence of Late Gadolinium Enhancement on Cardiac Magnetic Resonance Imaging in Patients with Carbon Monoxide Poisoning. Diagnostics (Basel) 2023; 14:60. [PMID: 38201369 PMCID: PMC10795751 DOI: 10.3390/diagnostics14010060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/12/2023] [Accepted: 12/25/2023] [Indexed: 01/12/2024] Open
Abstract
Late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMRI) reflects the burden of myocardial damage in carbon monoxide (CO) poisoning. This study aimed to identify the clinical and echocardiographic parameters that can predict myocardial LGE on CMRI in CO poisoning. This prospective observational study included patients who presented with acute CO poisoning and elevated troponin I and underwent echocardiography and CMRI to identify myocardial damage at a tertiary university hospital between August 2017 and May 2019 and August 2020 and July 2022. Based on the CMRI findings, participants were categorized into LGE and non-LGE groups. The median age of the 155 patients was 51.0 years, and 98 (63.2%) were males. Median times from emergency department arrival to either CMRI or echocardiography were 3.0 days each. The LGE group included 99 (63.9%) patients with LGE positivity on CMRIs. Time from rescue to hyperbaric oxygen therapy >4 h (odds ratio (OR): 3.31, 95% confidence interval (CI): 1.28-8.56, p = 0.01); serum lactate levels >2 mmol/L (OR: 2.62, 95% CI: 1.20-5.73, p = 0.02); and left ventricular global longitudinal strain >-16% (OR: 2.95, 95% CI: 1.35-6.47, p = 0.007) were significant predictors of LGE positivity. The area under the curve of these predictors was 0.711. Our prediction model, which combines the clinical parameters with left ventricular global longitudinal strain, may be helpful in the early detection of LGE positivity.
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Affiliation(s)
- Dong-Hyuk Cho
- Department of Cardiology, Korea University College of Medicine, Seoul 26426, Republic of Korea;
| | - Jung-Woo Son
- Division of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea; (J.-W.S.); (Y.I.K.); (H.-S.J.)
| | - Young In Kim
- Division of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea; (J.-W.S.); (Y.I.K.); (H.-S.J.)
| | - Jihye Lim
- Department of Biostatistics and Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea;
| | - Ho-Sung Jeon
- Division of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea; (J.-W.S.); (Y.I.K.); (H.-S.J.)
| | - Sung Min Ko
- Department of Radiology, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea;
| | - Yong Sung Cha
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea
- Research Institute of Hyperbaric Medicine and Science, Yonsei University Wonju College of Medicine, Wonju 26493, Republic of Korea
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21
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Zhong Y, Long Q, Zeng M, Wu L, Guo L, Wang G. Feature-Tracking-Derived Strain Analysis for Identification of Subendocardium-Involved Late Gadolinium Enhancement in Load-Induced Left Ventricular Hypertrophy: A Multicenter Study of Cardiac Magnetic Resonance Data. J Clin Med 2023; 12:7543. [PMID: 38137612 PMCID: PMC10744239 DOI: 10.3390/jcm12247543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/14/2023] [Accepted: 11/29/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Subendocardium-involved late gadolinium enhancement (SILGE) is a significant predictor of poor prognosis in patients with load-induced left ventricular hypertrophy (LVH). OBJECTIVES This multicenter study aimed to investigate whether the diagnostic performance of cardiac magnetic resonance feature-tracking (CMR-FT)-derived strain analysis for detecting subtle subendocardial injury would be influenced by its load dependence in patients with load-induced LVH. METHODS A total of 149 patients with load-induced LVH were recruited from three centers and underwent enhanced CMR imaging. The patients were divided into two groups based on the presence or absence of SILGE on CMR (SILGE+ group: n = 56; SILGE- group: n = 93). Clinical and CMR parameters were evaluated in both groups. RESULTS The LV systolic pressure (LVSP) and LV end-diastolic pressure (LVEDP) in the SILGE+ group were higher than those in the SILGE- group (each with p < 0.05), and LVSP and LVEDP were correlated with the LV global longitudinal strain (GLS) (each with p < 0.05) in research center 1. The LV strain parameters were significantly lower in the SILGE+ group than those in the SILGE- group (each with p < 0.05). Logistic regression analysis identified GLS (OR 1.325; 95% CI 1.180 to 1.487, p < 0.001) as a predictive factor of SILGE in the patients with load-induced LVH. The receiver operating characteristic (ROC) curve analysis results indicated that the areas under the curve (AUC) of global radial strain (GRS), global circumferential strain (GCS), and GLS were 0.68, 0.69, and 0.76, respectively. De Long's test results implied that GLS had the best diagnostic performance for SILGE (p = 0.04). CONCLUSION Despite the load dependency of CMR-FT-derived strain analysis, the GLS exhibits reasonable accuracy in the identification of SILGE and can potentially serve as a feasible alternative for detecting subendocardial involvement in patients with load-induced LVH who are contraindicated for LGE.
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Affiliation(s)
- Ying Zhong
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, China;
| | - Qian Long
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China; (Q.L.); (M.Z.)
| | - Mu Zeng
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China; (Q.L.); (M.Z.)
- National Clinical Research Center for Metabolic Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Lianming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China
| | - Liang Guo
- Department of Cardiovascular Medicine, The First Hospital of China Medical University, Shenyang 110001, China
| | - Guan Wang
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, China;
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22
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Zimmerman D, Shwayder M, Souza A, Su JA, Votava-Smith J, Wagner-Lees S, Kaneta K, Cheng A, Szmuszkovicz J. Cardiovascular Follow-up of Patients Treated for MIS-C. Pediatrics 2023; 152:e2023063002. [PMID: 37964674 DOI: 10.1542/peds.2023-063002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/19/2023] [Indexed: 11/16/2023] Open
Abstract
OBJECTIVES To assess the prevalence of residual cardiovascular pathology by cardiac MRI (CMR), ambulatory rhythm monitoring, and cardiopulmonary exercise testing (CPET) in patients ∼6 months after multisystem inflammatory disease in children (MIS-C). METHODS Patients seen for MIS-C follow-up were referred for CMR, ambulatory rhythm monitoring, and CPET ∼6 months after illness. Patients were included if they had ≥1 follow-up study performed by the time of data collection. MIS-C was diagnosed on the basis of the Centers for Disease Control and Prevention criteria. Myocardial injury during acute illness was defined as serum Troponin-I level >0.05 ng/mL or diminished left ventricular systolic function on echocardiogram. RESULTS Sixty-nine of 153 patients seen for MIS-C follow-up had ≥1 follow-up cardiac study between October 2020-June 2022. Thirty-seven (54%) had evidence of myocardial injury during acute illness. Of these, 12 of 26 (46%) had ≥1 abnormality on CMR, 4 of 33 (12%) had abnormal ambulatory rhythm monitor results, and 18 of 22 (82%) had reduced functional capacity on CPET. Of the 37 patients without apparent myocardial injury, 11 of 21 (52%) had ≥1 abnormality on CMR, 1 of 24 (4%) had an abnormal ambulatory rhythm monitor result, and 11 of 15 (73%) had reduced functional capacity on CPET. The prevalence of abnormal findings was not statistically significantly different between groups. CONCLUSIONS The high prevalence of abnormal findings on follow-up cardiac studies and lack of significant difference between patients with and without apparent myocardial injury during hospitalization suggests that all patients treated for MIS-C warrant cardiology follow-up.
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Affiliation(s)
- Dayna Zimmerman
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
| | - Mark Shwayder
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Andrew Souza
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jennifer A Su
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jodie Votava-Smith
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Sharon Wagner-Lees
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
| | - Kelli Kaneta
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
| | - Andrew Cheng
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jacqueline Szmuszkovicz
- Division of Cardiology
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
- Keck School of Medicine, University of Southern California, Los Angeles, California
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23
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Fink T, Sciacca V, Neven K, Didenko M, Sommer P, Sohns C. Pulsed field ablation for atrial fibrillation - Lessons from magnetic resonance imaging. Pacing Clin Electrophysiol 2023; 46:1586-1594. [PMID: 37943015 DOI: 10.1111/pace.14864] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/19/2023] [Accepted: 10/21/2023] [Indexed: 11/10/2023]
Abstract
Pulsed field ablation (PFA) is a promising technology for the treatment of atrial fibrillation (AF). Due to its unique tissue selectivity, PFA potentially bears superior characteristics as compared to established thermal energy sources in AF ablation procedures. Cardiovascular magnetic resonance imaging (CMR) using late gadolinium enhancement (LGE) is an established tool in the analysis of myocardial fibrosis representing atrial cardiomyopathy as well as ablation-induced atrial scar formation following catheter ablation with thermal energy. Mechanisms of atrial lesion formation differ between thermal ablation and electroporation and its impact on results of CMR imaging are not fully understood until now. In this review article, the potential of CMR imaging for PFA lesion assessment and available data are discussed. Further, additional needs to adopt imaging approaches to the cellular mechanisms of electroporation are considered.
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Affiliation(s)
- Thomas Fink
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Bad Oeynhausen, Germany
| | - Vanessa Sciacca
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Bad Oeynhausen, Germany
| | - Kars Neven
- Department of Electrophysiology, Alfried Krupp Hospital, Essen, Germany
- Dept. of Medicine, Witten/Herdecke University, Witten, Germany
| | - Maxim Didenko
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Bad Oeynhausen, Germany
| | - Philipp Sommer
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Bad Oeynhausen, Germany
| | - Christian Sohns
- Clinic for Electrophysiology, Herz- und Diabeteszentrum NRW, Ruhr-Universität Bochum, Bad Oeynhausen, Germany
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24
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Maillot A, Sridi S, Pineau X, André-Billeau A, Hosteins S, Maes JD, Montier G, Nuñez-Garcia M, Quesson B, Sermesant M, Cochet H, Stuber M, Bustin A. Automated inversion time selection for black-blood late gadolinium enhancement cardiac imaging in clinical practice. MAGMA (NEW YORK, N.Y.) 2023; 36:877-885. [PMID: 37294423 PMCID: PMC10667449 DOI: 10.1007/s10334-023-01101-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/25/2023] [Accepted: 05/10/2023] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To simplify black-blood late gadolinium enhancement (BL-LGE) cardiac imaging in clinical practice using an image-based algorithm for automated inversion time (TI) selection. MATERIALS AND METHODS The algorithm selects from BL-LGE TI scout images, the TI corresponding to the image with the highest number of sub-threshold pixels within a region of interest (ROI) encompassing the blood-pool and myocardium. The threshold value corresponds to the most recurrent pixel intensity of all scout images within the ROI. ROI dimensions were optimized in 40 patients' scans. The algorithm was validated retrospectively (80 patients) versus two experts and tested prospectively (5 patients) on a 1.5 T clinical scanner. RESULTS Automated TI selection took ~ 40 ms per dataset (manual: ~ 17 s). Fleiss' kappa coefficient for automated-manual, intra-observer and inter-observer agreements were [Formula: see text]= 0.73, [Formula: see text] = 0.70 and [Formula: see text] = 0.63, respectively. The agreement between the algorithm and any expert was better than the agreement between the two experts or between two selections of one expert. DISCUSSION Thanks to its good performance and simplicity of implementation, the proposed algorithm is a good candidate for automated BL-LGE imaging in clinical practice.
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Affiliation(s)
- Aurélien Maillot
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
| | - Soumaya Sridi
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Xavier Pineau
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Amandine André-Billeau
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Stéphanie Hosteins
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Jean-David Maes
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Géraldine Montier
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Marta Nuñez-Garcia
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
| | - Bruno Quesson
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
| | | | - Hubert Cochet
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France
| | - Matthias Stuber
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
| | - Aurélien Bustin
- IHU LIRYC, Electrophysiology and Heart Modelling Institute, Université de Bordeaux, INSERM, U1045, Avenue du Haut-Lévêque, 33604, Pessac, France.
- Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Avenue de Magellan, 33604, Pessac, France.
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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25
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Lecesne E, Simon A, Garreau M, Barone-Rochette G, Fouard C. Segmentation of cardiac infarction in delayed-enhancement MRI using probability map and transformers-based neural networks. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 242:107841. [PMID: 37865006 DOI: 10.1016/j.cmpb.2023.107841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 09/15/2023] [Accepted: 10/01/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND AND OBJECTIVE Automatic segmentation of myocardial infarction is of great clinical interest for the quantitative evaluation of myocardial infarction (MI). Late Gadolinium Enhancement cardiac MRI (LGE-MRI) is commonly used in clinical practice to quantify MI, which is crucial for clinical diagnosis and treatment of cardiac diseases. However, the segmentation of infarcted tissue in LGE-MRI is highly challenging due to its high anisotropy and inhomogeneities. METHODS The innovative aspect of our work lies in the utilization of a probability map of the healthy myocardium to guide the localization of infarction, as well as the combination of 2D U-Net and U-Net transformers to achieve the final segmentation. Instead of employing a binary segmentation map, we propose using a probability map of the normal myocardium, obtained through a dedicated 2D U-Net. To leverage spatial information, we employ a U-Net transformers network where we incorporate the probability map into the original image as an additional input. Then, To address the limitations of U-Net in segmenting accurately the contours, we introduce an adapted loss function. RESULTS Our method has been evaluated on the 2020 MICCAI EMIDEC challenge dataset, yielding competitive results. Specifically, we achieved a Dice score of 92.94% for the myocardium and 92.36% for the infarction. These outcomes highlight the competitiveness of our approach. CONCLUSION In the case of the infarction class, our proposed method outperforms state-of-the-art techniques across all metrics evaluated in the challenge, establishing its superior performance in infarction segmentation. This study further reinforces the importance of integrating a contour loss into the segmentation process.
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Affiliation(s)
- Erwan Lecesne
- Univ Rennes, Inserm, LTSI - UMR 1099, Rennes, 35000, France.
| | - Antoine Simon
- Univ Rennes, Inserm, LTSI - UMR 1099, Rennes, 35000, France
| | | | - Gilles Barone-Rochette
- Clinic of Cardiology, Cardiovascular and Thoracic Department, University Hospital of Grenoble, Grenoble, 38000, France
| | - Céline Fouard
- Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, Grenoble, 38000, France
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26
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Kang N, Friedrich MG, Abramov D, Martinez-Naharro A, Fontana M, Parwani P. Viral Myocarditis and Dilated Cardiomyopathy as a Consequence-Changing Insights from Advanced Imaging. Heart Fail Clin 2023; 19:445-459. [PMID: 37714586 DOI: 10.1016/j.hfc.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
Advancements in quantitative cardiac magnetic resonance (CMR) have revolutionized the diagnosis and management of viral myocarditis. With the addition of T1 and T2 mapping parameters in the updated Lake Louise Criteria, CMR can diagnose myocarditis with superior diagnostic accuracy compared with endomyocardial biopsy, especially in stable patients. Additionally, the unique value of CMR tissue characterization continues to improve the diagnosis and risk stratification of myocarditis. This review will discuss new and ongoing developments in cardiovascular imaging and its application to noninvasive diagnosis, prognostication, and management of viral myocarditis and its complications.
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Affiliation(s)
- Nicolas Kang
- Department of Medicine, Loma Linda University Medical Center, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Matthias G Friedrich
- Department of Medicine, McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada; Department of Diagnostic Radiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Dmitry Abramov
- Division of Cardiology, Loma Linda University Medical Center, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Ana Martinez-Naharro
- UCL CMR Department at the Royal Free Hospital and the National Amyloidosis Centre, University College, London
| | - Marianna Fontana
- UCL CMR Department at the Royal Free Hospital and the National Amyloidosis Centre, University College, London
| | - Purvi Parwani
- Division of Cardiology, Loma Linda University Medical Center, 11234 Anderson Street, Loma Linda, CA 92354, USA.
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27
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Orlov O, Asfour A, Shchekochikhin D, Magomedova Z, Bogdanova A, Komarova A, Podianov M, Gromyko G, Pershina E, Nesterov A, Shilova A, Ionina N, Andreev D. Cardiac Magnetic Resonance in Patients with Suspected Tachycardia-Induced Cardiomyopathy: The Impact of Late Gadolinium Enhancement and Epicardial Fat Tissue. J Pers Med 2023; 13:1440. [PMID: 37888051 PMCID: PMC10607955 DOI: 10.3390/jpm13101440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/19/2023] [Accepted: 09/21/2023] [Indexed: 10/28/2023] Open
Abstract
Tachycardia-induced cardiomyopathy (TIC) is a reversible subtype of dilated cardiomyopathy (DCM) resulting from sustained supraventricular or ventricular tachycardia and diagnosed by the normalization of left ventricular ejection fraction (LVEF) after stable sinus rhythm restoration. The aim of this study was to determine the contribution of cardiac magnetic resonance (CMR) to the differential diagnosis of TIC and DCM with persistent atrial arrythmias in patients hospitalized for the first time with heart failure (HF) with reduced LVEF of nonischemic origin. A total of 29 patients (age: 58.2 ± 16.9 years; males: 65.5%; average EF: 37.0 ± 9.5%) with persistent atrial tachyarrhythmia and first decompensation of HF without known coronary artery diseases were included in this study. The patients successfully underwent cardioversion and were observed for 30 days. The study population was divided into groups of responders (TIC patients; N = 16), which implies achieving FF > 50% or its increase > 10% in 30 days of TIC, and non-responders (N = 13). The increase in left ventricle (LV) volumes measured using CMR was significantly higher in the non-responder group when compared with the responders (114.8 mL ± 25.1 vs. 68.1 mL ± 10.5, respectively, p < 0.05). Non-responders also demonstrated decreased interventricular septum thickness (9.1 ± 0.8 vs.11.5 ± 1.3, respectively, p < 0.05). Late gadolinium enhancement (LGE) was observed in 12 patients (41.4%). The prevalence of LGE was increased in the non-responder group (25.0% vs. 65.1%, respectively, p = 0.046). Notably, a septal mid-wall LGE pattern was found exclusively in the non-responders. Epicardial adipose tissue thickness was decreased in the non-responder group versus the TIC patients. Conclusion: Patients with TIC were found to have smaller atrial and ventricular dimensions in comparison to patients with DCM. In addition, LGE was more common in DCM patients.
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Affiliation(s)
- Oleg Orlov
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
| | - Aref Asfour
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
| | - Dmitry Shchekochikhin
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
- Moscow State Healthcare Institution, City Clinical Hospital №1, 8 Leninsky Ave., 119049 Moscow, Russia; (A.N.); (A.S.)
- Department Intervention Cardiology and Cardiac Rehabilitation, Pirogov Russian National Research Medical University, 1 Ostrovitianinova Str., 117997 Moscow, Russia
| | - Zainab Magomedova
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
| | - Alexandra Bogdanova
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
- Moscow State Healthcare Institution, City Clinical Hospital №1, 8 Leninsky Ave., 119049 Moscow, Russia; (A.N.); (A.S.)
- Department Intervention Cardiology and Cardiac Rehabilitation, Pirogov Russian National Research Medical University, 1 Ostrovitianinova Str., 117997 Moscow, Russia
| | - Anna Komarova
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
| | - Maxim Podianov
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
| | - Grigory Gromyko
- Department of Endovascular Diagnostics and Treatment, Russian Biotechnological University (ROSBIOTECH), 33 Talalikhina Str., 109029 Moscow, Russia
| | - Ekaterina Pershina
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
- Moscow State Healthcare Institution, City Clinical Hospital №1, 8 Leninsky Ave., 119049 Moscow, Russia; (A.N.); (A.S.)
- World-Class Research Center, “Digital Biodesign and Personalized Healthcare”, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia
| | - Alexey Nesterov
- Moscow State Healthcare Institution, City Clinical Hospital №1, 8 Leninsky Ave., 119049 Moscow, Russia; (A.N.); (A.S.)
- Department Intervention Cardiology and Cardiac Rehabilitation, Pirogov Russian National Research Medical University, 1 Ostrovitianinova Str., 117997 Moscow, Russia
| | - Alexandra Shilova
- Moscow State Healthcare Institution, City Clinical Hospital №1, 8 Leninsky Ave., 119049 Moscow, Russia; (A.N.); (A.S.)
- Department Intervention Cardiology and Cardiac Rehabilitation, Pirogov Russian National Research Medical University, 1 Ostrovitianinova Str., 117997 Moscow, Russia
| | - Natalya Ionina
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
| | - Dennis Andreev
- Department of Cardiology, Functional and Ultrasound Diagnostics, N.V. Sklifosovsky Institute of Clinical Medicine, I. M. Sechenov First Moscow State Medical University, 8 Trubetskaya Str., 119991 Moscow, Russia; (O.O.); (Z.M.); (E.P.)
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28
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Sheagren CD, Cao T, Patel JH, Chen Z, Lee HL, Wang N, Christodoulou AG, Wright GA. Motion-compensated T 1 mapping in cardiovascular magnetic resonance imaging: a technical review. Front Cardiovasc Med 2023; 10:1160183. [PMID: 37790594 PMCID: PMC10542904 DOI: 10.3389/fcvm.2023.1160183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 08/22/2023] [Indexed: 10/05/2023] Open
Abstract
T 1 mapping is becoming a staple magnetic resonance imaging method for diagnosing myocardial diseases such as ischemic cardiomyopathy, hypertrophic cardiomyopathy, myocarditis, and more. Clinically, most T 1 mapping sequences acquire a single slice at a single cardiac phase across a 10 to 15-heartbeat breath-hold, with one to three slices acquired in total. This leaves opportunities for improving patient comfort and information density by acquiring data across multiple cardiac phases in free-running acquisitions and across multiple respiratory phases in free-breathing acquisitions. Scanning in the presence of cardiac and respiratory motion requires more complex motion characterization and compensation. Most clinical mapping sequences use 2D single-slice acquisitions; however newer techniques allow for motion-compensated reconstructions in three dimensions and beyond. To further address confounding factors and improve measurement accuracy, T 1 maps can be acquired jointly with other quantitative parameters such as T 2 , T 2 ∗ , fat fraction, and more. These multiparametric acquisitions allow for constrained reconstruction approaches that isolate contributions to T 1 from other motion and relaxation mechanisms. In this review, we examine the state of the literature in motion-corrected and motion-resolved T 1 mapping, with potential future directions for further technical development and clinical translation.
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Affiliation(s)
- Calder D. Sheagren
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Tianle Cao
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Bioengineering, University of California, Los Angeles, CA, United States
| | - Jaykumar H. Patel
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Zihao Chen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Bioengineering, University of California, Los Angeles, CA, United States
| | - Hsu-Lei Lee
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Nan Wang
- Department of Radiology, Stanford University, Stanford, CA, United States
| | - Anthony G. Christodoulou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Bioengineering, University of California, Los Angeles, CA, United States
| | - Graham A. Wright
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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29
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Di Marco A, Claver E, Anguera I. Impact of Cardiac Magnetic Resonance to Arrhythmic Risk Stratification in Nonischemic Cardiomyopathy. Card Electrophysiol Clin 2023; 15:379-390. [PMID: 37558307 DOI: 10.1016/j.ccep.2023.04.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
Left ventricular ejection fraction-based arrhythmic risk stratification in nonischemic cardiomyopathy (NICM) is insufficient and has led to the failure of primary prevention implantable cardioverter defibrillator trials, mainly due to the inability of selecting patients at high risk for sudden cardiac death (SCD). Cardiac magnetic resonance offers unique opportunities for tissue characterization and has gained a central role in arrhythmic risk stratification in NICM. The presence of myocardial scar, denoted by late gadolinium enhancement, is a significant, independent, and strong predictor of ventricular arrhythmias and SCD with high negative predictive value. T1 maps and extracellular volume fraction, which are able to quantify diffuse fibrosis, hold promise as complementary tools but need confirmatory results from large studies.
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Affiliation(s)
- Andrea Di Marco
- Department of Cardiology, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Bioheart-Cardiovascular Diseases Group, Cardiovascular, Respiratory and Systemic Diseases and Cellular Aging Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
| | - Eduard Claver
- Department of Cardiology, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Bioheart-Cardiovascular Diseases Group, Cardiovascular, Respiratory and Systemic Diseases and Cellular Aging Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ignasi Anguera
- Department of Cardiology, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Bioheart-Cardiovascular Diseases Group, Cardiovascular, Respiratory and Systemic Diseases and Cellular Aging Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
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30
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Fortin E, Lundin M, Mellbin L, Norhammar A, Näsman P, Smetana S, Sörensson P, Ferrannini E, Rydén L, Ferrannini G. Empagliflozin improves insulin sensitivity in patients with recent acute coronary syndrome and newly detected dysglycaemia : Experiences from the randomized, controlled SOCOGAMI trial. Cardiovasc Diabetol 2023; 22:208. [PMID: 37568149 PMCID: PMC10422806 DOI: 10.1186/s12933-023-01950-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Empagliflozin reduces the risk of cardiovascular disease (CVD) in patients with type 2 diabetes (T2DM) and high cardiovascular risk via mechanisms which have not been fully explained. The mechanisms of such benefit have not been fully understood, and whether empagliflozin can be safely administered as first-line treatment in patients with CVD at the initial stages of glycaemic perturbations remains to be established. We investigated the effects of empagliflozin on insulin resistance, insulin sensitivity and β-cell function indexes in patients with a recent acute coronary event and newly detected dysglycaemia, i.e., impaired glucose tolerance (IGT) or T2DM. METHODS Forty-two patients (mean age 67.5 years, 19% females) with a recent myocardial infarction (n = 36) or unstable angina (n = 6) and newly detected dysglycaemia were randomized to either empagliflozin 25 mg daily (n = 20) or placebo (n = 22). Patients were investigated with stress-perfusion cardiac magnetic resonance imaging before randomization, 7 months after the start of study drug and 3 months following its cessation. Indexes of insulin resistance, sensitivity and β-cell function were calculated based on glucose and insulin values from 2-hour oral glucose tolerance tests (OGTT) and fasting C-peptide. The differences in glucose, insulin, C-peptide, mannose levels and indexes between the two groups were computed by repeated measures ANOVA including an interaction term between the treatment allocation and the time of visit. RESULTS After 7 months, empagliflozin significantly decreased glucose and insulin values during the OGTT, whereas C-peptide, mannose and HbA1c did not differ. Empagliflozin significantly improved insulin sensitivity indexes but did not impact insulin resistance and β-cell function. After cessation of the drug, all indexes returned to initial levels. Insulin sensitivity indexes were inversely correlated with left ventricular mass at baseline. CONCLUSIONS Empagliflozin improved insulin sensitivity indexes in patients with a recent coronary event and drug naïve dysglycaemia. These findings support the safe use of empagliflozin as first-line glucose-lowering treatment in patients at very high cardiovascular risk with newly diagnosed dysglycaemia. TRIAL REGISTRATION NUMBER EudraCT number 2015-004571-73.
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Affiliation(s)
- Elena Fortin
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Lundin
- Department of Clinical Physiology, Karolinska Institutet, Stockholm, Sweden
| | - Linda Mellbin
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Cardiology Unit, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Norhammar
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Capio S:t Görans Hospital, Stockholm, Sweden
| | - Per Näsman
- Center for Safety Research, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Stina Smetana
- Cardiology Unit, Karolinska University Hospital, Stockholm, Sweden
| | - Peder Sörensson
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Physiology, Karolinska Institutet, Stockholm, Sweden
| | - Ele Ferrannini
- Department of Clinical Physiology, National Research Council, Pisa, Italy
| | - Lars Rydén
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Giulia Ferrannini
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
- Internal Medicine Unit, Södertälje Hospital, Södertälje, Stockholm Region, Sweden.
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31
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Li Kam Wa ME, Assar SZ, Kirtane AJ, Perera D. Revascularisation for Ischaemic Cardiomyopathy. Interv Cardiol 2023; 18:e24. [PMID: 37655258 PMCID: PMC10466461 DOI: 10.15420/icr.2023.06] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/02/2023] [Indexed: 09/02/2023] Open
Abstract
Coronary artery disease is a leading cause of heart failure with reduced ejection fraction. Coronary artery bypass grafting appears to provide clinical benefits such as improvements in quality of life, reductions in readmissions and MI, and favourable effects on long-term mortality; however, there is a significant short-term procedural risk when left ventricular function is severely impaired, which poses a conundrum for many patients. Could percutaneous coronary intervention provide the same benefits without the hazard of surgery? There have been no randomised studies to support this practice until recently. The REVIVED-BCIS2 trial (NCT01920048) assessed the outcomes of percutaneous coronary intervention in addition to optimal medical therapy in patients with ischaemic left ventricular dysfunction and stable coronary artery disease. This review examines the trial results in detail, suggests a pathway for investigation and revascularisation in ischaemic cardiomyopathy, and explores some of the remaining unanswered questions.
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Affiliation(s)
- Matthew E Li Kam Wa
- Coronary Research Group, British Heart Foundation Centre of Research Excellence, King's College London London, UK
| | - Saba Z Assar
- Division of Cardiology, Columbia University Irving Medical Center/New York-Presbyterian Hospital New York, NY, US
| | - Ajay J Kirtane
- Division of Cardiology, Columbia University Irving Medical Center/New York-Presbyterian Hospital New York, NY, US
- Cardiovascular Research Foundation New York, NY, US
| | - Divaka Perera
- Coronary Research Group, British Heart Foundation Centre of Research Excellence, King's College London London, UK
- Cardiovascular Division, Guy's and St Thomas' NHS Foundation Trust London, UK
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32
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Schelbert EB, Fridman Y. Gamechanger: Diagnostic and Prognostic Value of Cardiovascular Magnetic Resonance in MINOCA. Circ Cardiovasc Imaging 2023; 16:e015833. [PMID: 37582158 DOI: 10.1161/circimaging.123.015833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Affiliation(s)
- Erik B Schelbert
- Allina Health Minneapolis Heart Institute at United Hospital, Saint Paul, MN (E.B.S.)
- Allina Health Minneapolis Heart Institute at Abbott Northwestern Hospital, Minneapolis, MN (E.B.S.)
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Alkhalil M, De Maria GL, Akbar N, Ruparelia N, Choudhury RP. Prospects for Precision Medicine in Acute Myocardial Infarction: Patient-Level Insights into Myocardial Injury and Repair. J Clin Med 2023; 12:4668. [PMID: 37510783 PMCID: PMC10380764 DOI: 10.3390/jcm12144668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/11/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
The past decade has seen a marked expansion in the understanding of the pathobiology of acute myocardial infarction and the systemic inflammatory response that it elicits. At the same time, a portfolio of tools has emerged to characterise some of these processes in vivo. However, in clinical practice, key decision making still largely relies on assessment built around the timing of the onset of chest pain, features on electrocardiograms and measurements of plasma troponin. Better understanding the heterogeneity of myocardial injury and patient-level responses should provide new opportunities for diagnostic stratification to enable the delivery of more rational therapies. Characterisation of the myocardium using emerging imaging techniques such as the T1, T2 and T2* mapping techniques can provide enhanced assessments of myocardial statuses. Physiological measures, which include microcirculatory resistance and coronary flow reserve, have been shown to predict outcomes in AMI and can be used to inform treatment selection. Functionally informative blood biomarkers, including cellular transcriptomics; microRNAs; extracellular vesicle analyses and soluble markers, all give insights into the nature and timing of the innate immune response and its regulation in acute MI. The integration of these and other emerging tools will be key to developing a fuller understanding of the patient-level processes of myocardial injury and repair and should fuel new possibilities for rational therapeutic intervention.
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Affiliation(s)
- Mohammad Alkhalil
- Cardiothoracic Centre, Freeman Hospital, Newcastle-upon-Tyne NE7 7DN, UK
- Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK
| | | | - Naveed Akbar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Neil Ruparelia
- Cardiology Department, Hammersmith Hospital, Imperial College London, London W12 0HS, UK
| | - Robin P Choudhury
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
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Silva TQAC, Pezel T, Jerosch-Herold M, Coelho-Filho OR. The Role and Advantages of Cardiac Magnetic Resonance in the Diagnosis of Myocardial Ischemia. J Thorac Imaging 2023; 38:235-246. [PMID: 36917509 DOI: 10.1097/rti.0000000000000701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Ischemic heart disease continues to be the leading cause of death and disability worldwide. For the diagnosis of ischemic heart disease, some form of cardiac stress test involving exercise or pharmacological stimulation continues to play an important role, despite advances within modalities like computer tomography for the noninvasive detection and characterization of epicardial coronary lesions. Among noninvasive stress imaging tests, cardiac magnetic resonance (CMR) combines several capabilities that are highly relevant for the diagnosis of ischemic heart disease: assessment of wall motion abnormalities, myocardial perfusion imaging, and depiction of replacement and interstitial fibrosis markers by late gadolinium enhancement techniques and T1 mapping. On top of these qualities, CMR is also well tolerated and safe in most clinical scenarios, including in the presence of cardiovascular implantable devices, while in the presence of renal disease, gadolinium-based contrast should only be used according to guidelines. CMR also offers outstanding viability assessment and prognostication of cardiovascular events. The last 2019 European Society of Cardiology guidelines for chronic coronary syndromes has positioned stress CMR as a class I noninvasive imaging technique for the diagnosis of coronary artery disease in symptomatic patients. In the present review, we present the current state-of-the-art assessment of myocardial ischemia by stress perfusion CMR, highlighting its advantages and current shortcomings. We discuss the safety, clinical, and cost-effectiveness aspects of gadolinium-based CMR-perfusion imaging for ischemic heart disease assessment.
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Affiliation(s)
- Thiago Quinaglia A C Silva
- Discipline of Cardiology, Faculty of Medical Science-State University of Campinas-UNICAMP, Campinas, São Paulo, Brazil
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Théo Pezel
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD
- Department of Cardiology, University of Paris, CHU Lariboisière, Inserm, UMRS 942, Paris, France
| | - Michael Jerosch-Herold
- Noninvasive Cardiovascular Imaging Program and Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Otávio R Coelho-Filho
- Discipline of Cardiology, Faculty of Medical Science-State University of Campinas-UNICAMP, Campinas, São Paulo, Brazil
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35
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De Lio F, Andreis A, De Lio G, Bellettini M, Pidello S, Raineri C, Gallone G, Alunni G, Frea S, Imazio M, Castagno D, De Ferrari GM. Cardiac imaging for the prediction of sudden cardiac arrest in patients with heart failure. Heliyon 2023; 9:e17710. [PMID: 37456051 PMCID: PMC10338975 DOI: 10.1016/j.heliyon.2023.e17710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 06/11/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023] Open
Abstract
The identification of heart failure (HF) patients at risk for arrhythmic sudden cardiac arrest (SCA) is a major challenge in the cardiovascular field. In addition to optimal medical treatment for HF, implantable cardioverter defibrillator (ICD) is currently recommended to prevent SCA in patients with reduced left ventricular ejection fraction (LVEF). The indication for an ICD implantation, in addition to HF etiology, New York Health Association (NYHA) class and life expectancy, mainly depends on LVEF value at echocardiography. However, the actual role of LVEF in the prediction of SCA has recently been debated, while newer multimodality imaging techniques with increased prognostic accuracy have been developed. Speckle tracking imaging allows the quantification of mechanical dispersion, a marker of electrophysiological heterogeneity predisposing to malignant arrhythmias, while advanced cardiac magnetic resonance techniques such as myocardial T1-mapping and extracellular volume fraction assessment allow the evaluation of interstitial diffuse fibrosis. Nuclear imaging is helpful for the appraisal of sympathetic nervous system dysfunction, while newer computed tomography techniques assessing myocardial delayed enhancement allow the identification of focal myocardial scar. This review will focus on the most modern advances in the field of cardiovascular imaging along with its applications for the prediction of SCA in patients with HF. Modern artificial intelligence applications in cardiovascular imaging will also be discussed.
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Affiliation(s)
- Francesca De Lio
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Alessandro Andreis
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Giulia De Lio
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Matteo Bellettini
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Stefano Pidello
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Claudia Raineri
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Guglielmo Gallone
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Gianluca Alunni
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Simone Frea
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Massimo Imazio
- Cardiology Unit, Cardiothoracic Department, University Hospital “Santa Maria della Misericordia”, Udine, Italy
| | - Davide Castagno
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
| | - Gaetano Maria De Ferrari
- Division of Cardiology, Città della Salute e della Scienza di Torino University Hospital, University of Torino, Turin, Italy
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de Oliveira Laterza Ribeiro M, Hueb W, Rezende PC, Lima EG, Nomura CH, Rochitte CE, da Silva Selistre L, Boros GAB, Ramires JAF, Filho RK. Myocardial tissue microstructure with and without stress-induced ischemia assessed by T1 mapping in patients with stable coronary artery disease. Clin Imaging 2023; 101:142-149. [PMID: 37348160 DOI: 10.1016/j.clinimag.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/28/2023] [Accepted: 06/05/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Stress-induced myocardial ischemia seems not to be associated with cardiovascular events. However, its effects on myocardial tissue characteristics remain under debate. Thus, we sought to assess whether documented stress-induced ischemia is associated with changes in myocardial microstructure evaluated by magnetic resonance native T1 map and extracellular volume fraction (ECV). METHODS This is a single-center, analysis of the previously published MASS V Trial. Multivessel patients with a formal indication for myocardial revascularization and with documented stress-induced ischemia were included in this study. Native T1 and ECV values evaluated by cardiac magnetic resonance imaging of ischemic and nonischemic myocardial segments at rest and after stress were compared. Myocardial ischemia was detected by either nuclear scintigraphy or stress magnetic cardiac resonance protocol. RESULTS Between May 2012 and March 2014, 326 prospective patients were eligible for isolated CABG or PCI and 219 were included in the MASS V trial. All patients underwent resting cardiac magnetic resonance imaging. Of a total of 840 myocardial segments, 654 were nonischemic segments and 186 were ischemic segments. Native T1 and ECV values of ischemic segments were not significantly different from nonischemic segments, both at rest and after stress induction. In addition, native T1 and ECV values of myocardial segments supplied by vessels with obstructive lesions were similar to those supplied by nonobstructive ones. CONCLUSION AND RELEVANCE In this study, cardiac magnetic resonance identified similar T1 mapping values between ischemic and nonischemic myocardial segments. This finding suggests integrity and stability of myocardial tissue in the presence of stress-induced ischemia.
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Affiliation(s)
| | - Whady Hueb
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil.
| | - Paulo Cury Rezende
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Eduardo Gomes Lima
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Cesar Higa Nomura
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Carlos Eduardo Rochitte
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | | | - Gustavo André Boeing Boros
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Jose Antonio Franchini Ramires
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
| | - Roberto Kalil Filho
- Instituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, SP, Brazil
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DiLorenzo MP, Grosse-Wortmann L. Myocardial Fibrosis in Congenital Heart Disease and the Role of MRI. Radiol Cardiothorac Imaging 2023; 5:e220255. [PMID: 37404787 PMCID: PMC10316299 DOI: 10.1148/ryct.220255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 04/10/2023] [Accepted: 04/17/2023] [Indexed: 07/06/2023]
Abstract
Progress in the field of congenital heart surgery over the last century can only be described as revolutionary. Recent improvements in patient outcomes have been achieved through refinements in perioperative care. In the current and future eras, the preservation and restoration of myocardial health, beginning with the monitoring of tissue remodeling, will be central to improving cardiac outcomes. Visualization and quantification of fibrotic myocardial remodeling is one of the greatest assets that cardiac MRI brings to the field of cardiology, and its clinical use within the field of congenital heart disease (CHD) has been an area of particular interest in the last few decades. This review summarizes the physical underpinnings of myocardial tissue characterization in CHD, with an emphasis on T1 parametric mapping and late gadolinium enhancement. It describes methods and suggestions for obtaining images, extracting quantitative and qualitative data, and interpreting the results for children and adults with CHD. The tissue characterization observed in different lesions is used to examine the causes and pathomechanisms of fibrotic remodeling in this population. Similarly, the clinical consequences of elevated imaging biomarkers of fibrosis on patient health and outcomes are explored. Keywords: Pediatrics, MR Imaging, Cardiac, Heart, Congenital, Tissue Characterization, Congenital Heart Disease, Cardiac MRI, Parametric Mapping, Fibrosis, Late Gadolinium Enhancement © RSNA, 2023.
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Nies HM, Martens B, Gommers S, Bijvoet GP, Wildberger JE, ter Bekke RM, Holtackers RJ, Mihl C. Myocardial Scar Detection Using High-Resolution Free-Breathing 3D Dark-Blood and Standard Breath-Holding 2D Bright-Blood Late Gadolinium Enhancement MRI: A Comparison of Observer Confidence. Top Magn Reson Imaging 2023; 32:27-32. [PMID: 37058709 PMCID: PMC10510822 DOI: 10.1097/rmr.0000000000000304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/14/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVE To compare observer confidence for myocardial scar detection using 3 different late gadolinium enhancement (LGE) data sets by 2 observers with different levels of experience. MATERIALS AND METHODS Forty-one consecutive patients, who were referred for 3D dark-blood LGE MRI before implantable cardioverter-defibrillator implantation or ablation therapy and who underwent 2D bright-blood LGE MRI within a time frame of 3 months, were prospectively included. From all 3D dark-blood LGE data sets, a stack of 2D short-axis slices was reconstructed. All acquired LGE data sets were anonymized and randomized and evaluated by 2 independent observers with different levels of experience in cardiovascular imaging (beginner and expert). Confidence in detection of ischemic scar, nonischemic scar, papillary muscle scar, and right ventricular scar for each LGE data set was scored using a using a 3-point Likert scale (1 = low, 2 = medium, or 3 = high). Observer confidence scores were compared using the Friedman omnibus test and Wilcoxon signed-rank post hoc test. RESULTS For the beginner observer, a significant difference in confidence regarding ischemic scar detection was observed in favor of reconstructed 2D dark-blood LGE compared with standard 2D bright-blood LGE (p = 0.030) while for the expert observer, no significant difference was found (p = 0.166). Similarly, for right ventricular scar detection, a significant difference in confidence was observed in favor of reconstructed 2D dark-blood LGE compared with standard 2D bright-blood LGE (p = 0.006) while for the expert observer, no significant difference was found (p = 0.662). Although not significantly different for other areas of interest, 3D dark-blood LGE and its derived 2D dark-blood LGE data set showed a tendency to score higher for all areas of interest at both experience levels. CONCLUSIONS The combination of dark-blood LGE contrast and high isotropic voxels may contribute to increased observer confidence in myocardial scar detection, independent of observer's experience level but in particular for beginner observers.
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Affiliation(s)
- Hedwig M.J.M. Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Suzanne Gommers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Geertruida P. Bijvoet
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Joachim E. Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Rachel M.A. ter Bekke
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Robert J. Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Casper Mihl
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
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Jones RE, Zaidi HA, Hammersley DJ, Hatipoglu S, Owen R, Balaban G, de Marvao A, Simard F, Lota AS, Mahon C, Almogheer B, Mach L, Musella F, Chen X, Gregson J, Lazzari L, Ravendren A, Leyva F, Zhao S, Vazir A, Lamata P, Halliday BP, Pennell DJ, Bishop MJ, Prasad SK. Comprehensive Phenotypic Characterization of Late Gadolinium Enhancement Predicts Sudden Cardiac Death in Coronary Artery Disease. JACC Cardiovasc Imaging 2023; 16:628-638. [PMID: 36752426 PMCID: PMC10151254 DOI: 10.1016/j.jcmg.2022.10.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) offers the potential to noninvasively characterize the phenotypic substrate for sudden cardiac death (SCD). OBJECTIVES The authors assessed the utility of infarct characterization by CMR, including scar microstructure analysis, to predict SCD in patients with coronary artery disease (CAD). METHODS Patients with stable CAD were prospectively recruited into a CMR registry. LGE quantification of core infarction and the peri-infarct zone (PIZ) was performed alongside computational image analysis to extract morphologic and texture scar microstructure features. The primary outcome was SCD or aborted SCD. RESULTS Of 437 patients (mean age: 64 years; mean left ventricular ejection fraction [LVEF]: 47%) followed for a median of 6.3 years, 49 patients (11.2%) experienced the primary outcome. On multivariable analysis, PIZ mass and core infarct mass were independently associated with the primary outcome (per gram: HR: 1.07 [95% CI: 1.02-1.12]; P = 0.002 and HR: 1.03 [95% CI: 1.01-1.05]; P = 0.01, respectively), and the addition of both parameters improved discrimination of the model (Harrell's C-statistic: 0.64-0.79). PIZ mass, however, did not provide incremental prognostic value over core infarct mass based on Harrell's C-statistic or risk reclassification analysis. Severely reduced LVEF did not predict the primary endpoint after adjustment for scar mass. On scar microstructure analysis, the number of LGE islands in addition to scar transmurality, radiality, interface area, and entropy were all associated with the primary outcome after adjustment for severely reduced LVEF and New York Heart Association functional class of >1. No scar microstructure feature remained associated with the primary endpoint when PIZ mass and core infarct mass were added to the regression models. CONCLUSIONS Comprehensive LGE characterization independently predicted SCD risk beyond conventional predictors used in implantable cardioverter-defibrillator (ICD) insertion guidelines. These results signify the potential for a more personalized approach to determining ICD candidacy in CAD.
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Affiliation(s)
- Richard E Jones
- National Heart and Lung Institute, Imperial College London, United Kingdom; Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom. https://twitter.com/DrREJones
| | - Hassan A Zaidi
- Department of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom
| | - Daniel J Hammersley
- National Heart and Lung Institute, Imperial College London, United Kingdom; Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Suzan Hatipoglu
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Ruth Owen
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Gabriel Balaban
- Department of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom; Department of Computational Physiology, Simula Research Laboratory, Oslo, Norway
| | - Antonio de Marvao
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom; Department of Women and Children's Health, King's College London, London, United Kingdom; British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine and Sciences, King's College London, London, United Kingdom
| | - François Simard
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Amrit S Lota
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Ciara Mahon
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Batool Almogheer
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Lukas Mach
- National Heart and Lung Institute, Imperial College London, United Kingdom; Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Francesca Musella
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Xiuyu Chen
- State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - John Gregson
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Laura Lazzari
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Andrew Ravendren
- Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Francisco Leyva
- Aston Medical School, Aston University, Birmingham, United Kingdom
| | - Shihua Zhao
- State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ali Vazir
- National Heart and Lung Institute, Imperial College London, United Kingdom
| | - Pablo Lamata
- Department of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom
| | - Brian P Halliday
- National Heart and Lung Institute, Imperial College London, United Kingdom; Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Dudley J Pennell
- National Heart and Lung Institute, Imperial College London, United Kingdom; Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Martin J Bishop
- Department of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom
| | - Sanjay K Prasad
- National Heart and Lung Institute, Imperial College London, United Kingdom; Cardiovascular Magnetic Resonance Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom.
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Perna F, Telesca A, Scacciavillani R, Narducci ML, Bencardino G, Pinnacchio G, Spera FR, Sabarese R, Comerci G, Pelargonio G. Clinical Impact of Cardiac Fibrosis on Arrhythmia Recurrence after Ablation in Adults with Congenital Heart Disease. J Cardiovasc Dev Dis 2023; 10:jcdd10040168. [PMID: 37103047 PMCID: PMC10141040 DOI: 10.3390/jcdd10040168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/07/2023] [Accepted: 04/10/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Adults with congenital heart disease (ACHD) are often affected by cardiac arrhythmias requiring catheter ablation. Catheter ablation in this setting represents the treatment of choice but is flawed by frequent recurrencies. Predictors of arrhythmia relapse have been identified, but the role of cardiac fibrosis in this setting has not been investigated. The aim of this study was to determine the role of the extension of cardiac fibrosis, detected by electroanatomical mapping, in predicting arrhythmia recurrencies after ablation in ACHD. MATERIALS AND METHODS Consecutive patients with congenital heart disease and atrial or ventricular arrhythmias undergoing catheter ablation were enrolled. An electroanatomical bipolar voltage map was performed during sinus rhythm in each patient and bipolar scar was assessed according to the current literature data. During follow-up, arrhythmia recurrences were recorded. The relationship between the extent of myocardial fibrosis and arrhythmia recurrence was assessed. RESULTS Twenty patients underwent successful catheter ablation of atrial (14) or ventricular (6) arrhythmias, with no inducible arrhythmia at the end of the procedure. During a median follow-up period of 207 weeks (IQR 80 weeks), eight patients (40%; five atrial and three ventricular arrhythmias) had arrhythmia recurrence. Of the five patients undergoing a second ablation, four showed a new reentrant circuit, while one patient had a conduction gap across a previous ablation line. The extension of the bipolar scar area (HR 1.049, CI 1.011-1.089, p = 0.011) and the presence of a bipolar scar area >20 cm2 (HR 6.101, CI 1.147-32.442, p = 0.034) were identified as predictors of arrhythmia relapse. CONCLUSION The extension of the bipolar scar area and the presence of a bipolar scar area >20 cm2 can predict arrhythmia relapse in ACHD undergoing catheter ablation of atrial and ventricular arrhythmias. Recurrent arrhythmias are often caused by circuits other than those previously ablated.
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Affiliation(s)
- Francesco Perna
- Cardiac Arrhythmia Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Alessandro Telesca
- Department of Cardiovascular Sciences, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy
| | - Roberto Scacciavillani
- Department of Cardiovascular Sciences, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy
| | - Maria Lucia Narducci
- Cardiac Arrhythmia Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168 Rome, Italy
- Department of Cardiovascular Sciences, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy
| | - Gianluigi Bencardino
- Cardiac Arrhythmia Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Gaetano Pinnacchio
- Cardiac Arrhythmia Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Francesco Raffaele Spera
- Cardiac Arrhythmia Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Rocco Sabarese
- Department of Cardiovascular Sciences, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy
| | - Gianluca Comerci
- Cardiac Arrhythmia Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Gemma Pelargonio
- Cardiac Arrhythmia Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli 8, 00168 Rome, Italy
- Department of Cardiovascular Sciences, Catholic University of the Sacred Heart, Largo Francesco Vito 1, 00168 Rome, Italy
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41
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Lu M, Zhu L, Prasad SK, Zhao S. Magnetic resonance imaging mimicking pathology detects myocardial fibrosis: a door to hope for improving the whole course management. Sci Bull (Beijing) 2023; 68:864-867. [PMID: 37080852 DOI: 10.1016/j.scib.2023.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Affiliation(s)
- Minjie Lu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Leyi Zhu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Sanjay K Prasad
- Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London SW3 6NP, UK; National Heart & Lung Institute, Imperial College, London W2 1PG, UK
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
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Xing J, Wang S, Bilchick KC, Patel AR, Zhang M. JOINT DEEP LEARNING FOR IMPROVED MYOCARDIAL SCAR DETECTION FROM CARDIAC MRI. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING 2023; 2023:10.1109/isbi53787.2023.10230541. [PMID: 38523738 PMCID: PMC10959501 DOI: 10.1109/isbi53787.2023.10230541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
Automated identification of myocardial scar from late gadolinium enhancement cardiac magnetic resonance images (LGE-CMR) is limited by image noise and artifacts such as those related to motion and partial volume effect. This paper presents a novel joint deep learning (JDL) framework that improves such tasks by utilizing simultaneously learned myocardium segmentations to eliminate negative effects from non-region-of-interest areas. In contrast to previous approaches treating scar detection and myocardium segmentation as separate or parallel tasks, our proposed method introduces a message passing module where the information of myocardium segmentation is directly passed to guide scar detectors. This newly designed network will efficiently exploit joint information from the two related tasks and use all available sources of myocardium segmentation to benefit scar identification. We demonstrate the effectiveness of JDL on LGE-CMR images for automated left ventricular (LV) scar detection, with great potential to improve risk prediction in patients with both ischemic and non-ischemic heart disease and to improve response rates to cardiac resynchronization therapy (CRT) for heart failure patients. Experimental results show that our proposed approach outperforms multiple state-of-the-art methods, including commonly used two-step segmentation-classification networks, and multitask learning schemes where subtasks are indirectly interacted.
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Affiliation(s)
- Jiarui Xing
- Department of Electrical and Computer Engineering, University of Virginia, USA
| | - Shuo Wang
- School of Medicine, University of Virginia Health System, USA
| | | | - Amit R Patel
- School of Medicine, University of Virginia Health System, USA
| | - Miaomiao Zhang
- Department of Electrical and Computer Engineering, University of Virginia, USA
- Department of Computer Science, University of Virginia, USA
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43
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Ferreira VM, Plein S, Wong TC, Tao Q, Raisi-Estabragh Z, Jain SS, Han Y, Ojha V, Bluemke DA, Hanneman K, Weinsaft J, Vidula MK, Ntusi NAB, Schulz-Menger J, Kim J. Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson 2023; 25:21. [PMID: 36973744 PMCID: PMC10041524 DOI: 10.1186/s12968-023-00933-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 03/29/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has affected nearly 600 million people to date across the world. While COVID-19 is primarily a respiratory illness, cardiac injury is also known to occur. Cardiovascular magnetic resonance (CMR) imaging is uniquely capable of characterizing myocardial tissue properties in-vivo, enabling insights into the pattern and degree of cardiac injury. The reported prevalence of myocardial involvement identified by CMR in the context of COVID-19 infection among previously hospitalized patients ranges from 26 to 60%. Variations in the reported prevalence of myocardial involvement may result from differing patient populations (e.g. differences in severity of illness) and the varying intervals between acute infection and CMR evaluation. Standardized methodologies in image acquisition, analysis, interpretation, and reporting of CMR abnormalities across would likely improve concordance between studies. This consensus document by the Society for Cardiovascular Magnetic Resonance (SCMR) provides recommendations on CMR imaging and reporting metrics towards the goal of improved standardization and uniform data acquisition and analytic approaches when performing CMR in patients with COVID-19 infection.
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Affiliation(s)
- Vanessa M Ferreira
- University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Oxford British Heart Foundation Centre of Research Excellence, The National Institute for Health Research Oxford Biomedical Research Centre at the Oxford University Hospitals NHS Foundation Trust, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Sven Plein
- Department of Biomedical Imaging Science, University of Leeds, Leeds, UK
| | - Timothy C Wong
- Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Qian Tao
- Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Supriya S Jain
- Division of Pediatric Cardiology, Department of Pediatrics, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, New York, USA
| | - Yuchi Han
- Cardiovascular Medicine, Wexner Medical Center, The Ohio State University, Columbus, USA
| | - Vineeta Ojha
- Department of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India
| | - David A Bluemke
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Kate Hanneman
- Department of Medical Imaging, Toronto General Hospital, University of Toronto, Toronto, Canada
| | - Jonathan Weinsaft
- Department of Medicine, Division of Cardiology, Weill Cornell Medicine/New York Presbyterian Hospital, Weill Cornell Medical College, New York, USA
| | - Mahesh K Vidula
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, USA
| | - Ntobeko A B Ntusi
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital; Cape Heart Institute, University of Cape Town, South African Medical Research Council Extramural Unit On Intersection of Noncommunicable Diseases and Infectious Diseases, Cape Town, South Africa
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between Charité and MDC, Charité University Medicine, Berlin, Germany
- Department of Cardiology and Nephrology, Helios Hospital Berlin-Buch, Berlin, Germany
| | - Jiwon Kim
- Department of Medicine, Division of Cardiology, Weill Cornell Medicine/New York Presbyterian Hospital, Weill Cornell Medical College, New York, USA.
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Shah SM, Shah J, Lakey SM, Garg P, Ripley DP. Pathophysiology, emerging techniques for the assessment and novel treatment of aortic stenosis. Open Heart 2023; 10:openhrt-2022-002244. [PMID: 36963766 PMCID: PMC10040005 DOI: 10.1136/openhrt-2022-002244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 03/09/2023] [Indexed: 03/26/2023] Open
Abstract
Our perspectives on aortic stenosis (AS) are changing. Evolving from the traditional thought of a passive degenerative disease, developing a greater understanding of the condition's mechanistic underpinning has shifted the paradigm to an active disease process. This advancement from the 'wear and tear' model is a result of the growing economic and health burden of AS, particularly within industrialised countries, prompting further research. The pathophysiology of calcific AS (CAS) is complex, yet can be characterised similarly to that of atherosclerosis. Progressive remodelling involves lipid-protein complexes, with lipoprotein(a) being of particular interest for diagnostics and potential future treatment options.There is an unmet clinical need for asymptomatic patient management; no pharmacotherapies are proven to slow progression and intervention timing varies. Novel approaches are developing to address this through: (1) screening with circulating biomarkers; (2) development of drugs to slow disease progression and (3) early valve intervention guided by medical imaging. Existing biomarkers (troponin and brain natriuretic peptide) are non-specific, but cost-effective predictors of ventricular dysfunction. In addition, their integration with cardiovascular MRI can provide accurate risk stratification, aiding aortic valve replacement decision making. Currently, invasive intervention is the only treatment for AS. In comparison, the development of lipoprotein(a) lowering therapies could provide an alternative; slowing progression of CAS, preventing left ventricular dysfunction and reducing reliance on surgical intervention.The landscape of AS management is rapidly evolving. This review outlines current understanding of the pathophysiology of AS, its management and future perspectives for the condition's assessment and treatment.
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Affiliation(s)
- Syed Muneeb Shah
- School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, UK
| | - Jay Shah
- School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, UK
| | - Samuel Mark Lakey
- Department of Cardiology, Northumbria Healthcare NHS Foundation Trust, North Shields, UK
| | - Pankaj Garg
- Department of Cardiovascular and Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, Norfolk, UK
- Department of Cardiology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, Norfolk, UK
| | - David Paul Ripley
- School of Medicine, Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, UK
- Department of Cardiology, Northumbria Healthcare NHS Foundation Trust, North Shields, UK
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Li XM, Jiang L, Min CY, Yan WF, Shen MT, Liu XJ, Guo YK, Yang ZG. Myocardial Perfusion Imaging by Cardiovascular Magnetic Resonance: Research Progress and Current Implementation. Curr Probl Cardiol 2023; 48:101665. [PMID: 36828047 DOI: 10.1016/j.cpcardiol.2023.101665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023]
Abstract
Cardiovascular diseases pose a significant health and economic burden worldwide, with coronary artery disease still recognized as a major problem. It is closely associated with hypertension, diabetes, obesity, smoking, lack of exercise, poor diet, and excessive alcohol consumption, which may lead to macro- and microvascular abnormalities in the heart. Coronary artery stenosis reduces the local supply of oxygen and nutrients to the myocardium and results in reduced levels of myocardial perfusion, which can lead to more severe conditions and irreversible damage to myocardial tissues. Therefore, accurate evaluation of myocardial perfusion abnormalities in patients with these risk factors is critical. As technology advances, magnetic resonance myocardial perfusion imaging has become more accurate at evaluating the myocardial microcirculation and has shown a powerful ability to detect myocardial ischemia. The purpose of this review is to summarize the principle, research progress of acquisition and analysis, and clinical implementation of cardiovascular magnetic resonance (CMR) myocardial perfusion imaging.
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Affiliation(s)
- Xue-Ming Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Cardiovascular Diseases, Regenerative Medicine Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chen-Yan Min
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei-Feng Yan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Meng-Ting Shen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiao-Jing Liu
- Laboratory of Cardiovascular Diseases, Regenerative Medicine Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Radike M, Ben-Aicha S, Gutiérrez M, Hidalgo A, Badimón L, Vilahur G. Comparison of two cardiac magnetic resonance imaging postprocessing software tools in a pig model of myocardial infarction. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2023; 76:123-126. [PMID: 35809893 DOI: 10.1016/j.rec.2022.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 06/24/2022] [Indexed: 02/01/2023]
Affiliation(s)
- Monika Radike
- Institut de Recerca, Hospital de la Santa Creu i Sant Pau, Institut de Investigacions Biomèdiques (IIB)-Sant Pau, Barcelona, Spain; Radiology Department, Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | - Soumaya Ben-Aicha
- Imperial College London, National Heart and Lung Institute, London, United Kingdom
| | - Manuel Gutiérrez
- Radiology Department, Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | - Alberto Hidalgo
- Departamento de Radiología, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain
| | - Lina Badimón
- Institut de Recerca, Hospital de la Santa Creu i Sant Pau, Institut de Investigacions Biomèdiques (IIB)-Sant Pau, Barcelona, Spain; Centro de Investigación en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Cardiovascular Research Chair, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Gemma Vilahur
- Institut de Recerca, Hospital de la Santa Creu i Sant Pau, Institut de Investigacions Biomèdiques (IIB)-Sant Pau, Barcelona, Spain; Cardiovascular Research Chair, Universitat Autònoma de Barcelona, Barcelona, Spain.
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47
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Larsen CK, Galli E, Duchenne J, Aalen JM, Stokke C, Fjeld JG, Degtiarova G, Claus P, Gheysens O, Saberniak J, Sirnes PA, Lyseggen E, Bogaert J, Kongsgaard E, Penicka M, Voigt JU, Donal E, Hopp E, Smiseth OA. Scar imaging in the dyssynchronous left ventricle: Accuracy of myocardial metabolism by positron emission tomography and function by echocardiographic strain. Int J Cardiol 2023; 372:122-129. [PMID: 36460211 DOI: 10.1016/j.ijcard.2022.11.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/20/2022] [Accepted: 11/22/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE Response to cardiac resynchronization therapy (CRT) is reduced in patients with high left ventricular (LV) scar burden, in particular when scar is located in the LV lateral wall or septum. Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) can identity scar, but is not feasible in all patients. This study investigates if myocardial metabolism by 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) and contractile function by echocardiographic strain are alternatives to LGE-CMR. METHODS In a prospective multicenter study, 132 CRT candidates (91% with left bundle branch block) were studied by speckle tracking strain echocardiography, and 53 of these by FDG-PET. Regional myocardial FDG metabolism and peak systolic strain were compared to LGE-CMR as reference method. RESULTS Reduced FDG metabolism (<70% relative) precisely identified transmural scars (≥50% of myocardial volume) in the LV lateral wall, with area under the curve (AUC) 0.96 (95% confidence interval (CI) 0.90-1.00). Reduced contractile function by strain identified transmural scars in the LV lateral wall with only moderate accuracy (AUC = 0.77, CI 0.71-0.84). However, absolute peak systolic strain >10% could rule out transmural scar with high sensitivity (80%) and high negative predictive value (96%). Neither FDG-PET nor strain identified septal scars (for both, AUC < 0.80). CONCLUSIONS In CRT candidates, FDG-PET is an excellent alternative to LGE-CMR to identify scar in the LV lateral wall. Furthermore, preserved strain in the LV lateral wall has good accuracy to rule out transmural scar. None of the modalities can identify septal scar. CLINICAL TRIAL REGISTRATION The present study is part of the clinical study "Contractile Reserve in Dyssynchrony: A Novel Principle to Identify Candidates for Cardiac Resynchronization Therapy (CRID-CRT)", which was registered at clinicaltrials.gov (identifier NCT02525185).
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Affiliation(s)
- Camilla Kjellstad Larsen
- Institute for Surgical Research, Oslo University Hospital and University of Oslo, Oslo, Norway; Department of Cardiology, Oslo University Hospital, Oslo, Norway
| | - Elena Galli
- Department of Cardiology, University Hospital of Rennes and University of Rennes, Rennes, France
| | - Jürgen Duchenne
- Department of Cardiovascular Diseases, University Hospitals Leuven and Department of Cardiovascular Sciences, KU Leuven - University of Leuven, Leuven, Belgium
| | - John M Aalen
- Institute for Surgical Research, Oslo University Hospital and University of Oslo, Oslo, Norway; Department of Cardiology, Oslo University Hospital, Oslo, Norway
| | - Caroline Stokke
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway
| | - Jan Gunnar Fjeld
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway; Oslo Metropolitan University, Oslo, Norway
| | - Ganna Degtiarova
- Department of Nuclear Medicine, University Hospitals Leuven and Department of Imaging and Pathology, KU Leuven - University of Leuven, Leuven, Belgium
| | - Piet Claus
- Department of Nuclear Medicine, University Hospitals Leuven and Department of Imaging and Pathology, KU Leuven - University of Leuven, Leuven, Belgium
| | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc and Institute of Clinical and Experimental Research (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Jorg Saberniak
- Department of Cardiology, Akershus University Hospital, Lorenskog, Norway
| | | | - Erik Lyseggen
- Department of Cardiology, Oslo University Hospital, Oslo, Norway
| | - Jan Bogaert
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Erik Kongsgaard
- Department of Cardiology, Oslo University Hospital, Oslo, Norway
| | | | - Jens-Uwe Voigt
- Department of Cardiovascular Diseases, University Hospitals Leuven and Department of Cardiovascular Sciences, KU Leuven - University of Leuven, Leuven, Belgium
| | - Erwan Donal
- Department of Cardiology, University Hospital of Rennes and University of Rennes, Rennes, France
| | - Einar Hopp
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Otto A Smiseth
- Institute for Surgical Research, Oslo University Hospital and University of Oslo, Oslo, Norway; Department of Cardiology, Oslo University Hospital, Oslo, Norway.
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48
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Nies HMJM, Vromen T, Mihl C, Bekkers SCAM, Rasoul S, Holtackers RJ, Smulders MW. A case report of a myocardial ischaemic attack: a novel hyperenhancement pattern on cardiac magnetic resonance in focal ischaemic injury. Eur Heart J Case Rep 2023; 7:ytac496. [PMID: 36789092 PMCID: PMC9915962 DOI: 10.1093/ehjcr/ytac496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 10/23/2022] [Accepted: 12/30/2022] [Indexed: 01/15/2023]
Abstract
Background Delayed enhancement cardiac magnetic resonance (DE-CMR) is the reference standard for the non-invasive assessment of myocardial fibrosis. DE-CMR is able to distinguish ischaemic from non-ischaemic aetiologies based on differences in hyperenhancement distribution patterns. Hyperenhancement caused by ischaemic injury typically involves the endocardium, while hyperenhancement confined to the mid- and epicardial layers of the myocardium suggests a non-ischaemic aetiology. Case summary This is a case of a 20-year-old male with an unremarkable medical history with an acute ST-elevation myocardial infarction. DE-CMR revealed two distinct patterns of hyperenhancement: (i) a 'normal' wavefront-ischaemic pattern, and (ii) multiple atypical mid-wall and epicardial areas of focal hyperenhancement. Invasive coronary angiography (ICA) and coronary computed tomographic angiography (CCTA) showed multiple intracoronary thrombi and distal emboli in the left anterior descending, ramus circumflexus, and in smaller branches of the LCA. All hyperenhancement patterns observed on DE-CMR perfectly matched the distribution territories of the affected coronary arteries. Discussion This case with an acute myocardial infarction showed intracoronary thrombi and emboli on ICA and CCTA. Interestingly, DE-CMR showed two different patterns of hyperenhancement in the same territories of the coronary thrombi. This observation may challenge the concept that these non-endocardial areas of hyperenhancement on DE-CMR are always of non-ischaemic aetiology. It is hypothesized that occlusion of smaller distal branches of the coronary arteries may result in mid-wall or epicardial fibrosis as opposed to subendocardial fibrosis commonly found in patients with a large epicardial coronary occlusion. Clinicians should be aware of these atypical patterns to be able to initiate adequate medical therapy.
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Affiliation(s)
| | - Tom Vromen
- Department of Cardiology, Maastricht University Medical Centre, P. Debyelaan 25, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
| | - Casper Mihl
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands,Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Sebastiaan C A M Bekkers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands,Department of Cardiology, Maastricht University Medical Centre, P. Debyelaan 25, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
| | - Saman Rasoul
- Department of Cardiology, Maastricht University Medical Centre, P. Debyelaan 25, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands,Department of Cardiology, Zuyderland Medical Centre, Heerlen, The Netherlands
| | - Robert J Holtackers
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands,Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
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49
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Juul AS, Kyhl K, Ekström K, Madsen JM, Sabbah M, Ahtarovski KA, Nepper-Christensen L, Vejlstrup N, Høfsten D, Kelbaek H, Køber L, Lønborg J, Engstrøm T. The Incidence and Impact of Permanent Right Ventricular Infarction on Left Ventricular Infarct Size in Patients With Inferior ST-Segment Elevation Myocardial Infarction. Am J Cardiol 2023; 186:43-49. [PMID: 36343445 DOI: 10.1016/j.amjcard.2022.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 10/02/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022]
Abstract
Mounting evidence shows that right ventricle (RV) function carries independent prognostic influence in various disease states. This study aimed to investigate the incidence and impact of permanent RV infarction in patients with inferior ST-segment elevation myocardial infarction (STEMI) and culprit lesion in the right coronary artery (RCA). In this substudy of the DANAMI-3 (DANish Study of Optimal Acute Treatment of Patients with ST-segment Elevation Myocardial Infarction) trial, cardiac magnetic resonance was performed in 291 patients at day 1 and follow-up 3 months after primary percutaneous coronary intervention of 674 patients with STEMI with the culprit lesion in the RCA. Final infarct was assessed using late gadolinium enhancement on cardiac magnetic resonance at 3 months. Patients with permanent RV infarction (20%) had lower ventricular function at follow-up; RV ejection fraction (EF) 47% ±6 versus 50% ± 5 (p <0.005) and left ventricular (LV) EF 56% ± 8 versus 60% ± 9 (p <0.006). Furthermore, patients with permanent RV infarction had a higher incidence of microvascular obstruction 39 (67%) versus 81 (39%) (p <0.001), larger final LV infarct size 16% ±8 versus 10% ± 8 (p <0.001) and larger LV area at risk 33% ± 10 versus 29% ± 9 (p <0.001). Permanent RV infarction was an independent predictor of final LV infarct size (p <0.001) but was not associated with LVEF (β = -0.0; p = 0.13) in multivariable analyses. In conclusion, permanent RV infarction was seen in 20% of patients with inferior STEMI and culprit lesion in RCA and independently predicted final LV infarct size. However, permanent RV infarction did not predict overall LV function. LGE was used to detect infarct location and quantify infarct size.17 LGE in RV free wall on follow-up CMR was considered as permanent infarction. LGE images were obtained 10 minutes after intravenous injection of 0.1-mmol/kg body weight of gadolinium-based contrast (Gadovist; Bayer Schering, Berlin, Germany) using an electrocardiogram (ECG)-triggered inversion-recovery sequence. The inversion time was adjusted to null the signal from the normal myocardium. Short-axis images were acquired from the atrioventricular plane to the apex with adjacent 8-mm slices. The remaining protocol has been described previously.16.
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Affiliation(s)
- Anne-Sophie Juul
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark; Faculty of Health Science, University of Copenhagen.
| | - Kasper Kyhl
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Kathrine Ekström
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | | | - Muhammad Sabbah
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | | | | | - Niels Vejlstrup
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Dan Høfsten
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Henning Kelbaek
- Department of Cardiology, Zealand University Hospital, Roskilde, Denmark
| | - Lars Køber
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Jacob Lønborg
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Thomas Engstrøm
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
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50
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Peters AA, Wagner B, Spano G, Haupt F, Ebner L, Kunze KP, Schmidt M, Neji R, Botnar R, Prieto C, Jung B, Christe A, Gräni C, Huber AT. Myocardial scar detection in free-breathing Dixon-based fat- and water-separated 3D inversion recovery late-gadolinium enhancement whole heart MRI. Int J Cardiovasc Imaging 2023; 39:135-144. [PMID: 36598693 PMCID: PMC9813059 DOI: 10.1007/s10554-022-02701-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 07/22/2022] [Indexed: 01/09/2023]
Abstract
The aim of this study was to investigate the diagnostic accuracy and reader confidence for late-gadolinium enhancement (LGE) detection of a novel free-breathing, image-based navigated 3D whole-heart LGE sequence with fat-water separation, compared to a free-breathing motion-corrected 2D LGE sequence in patients with ischemic and non-ischemic cardiomyopathy. Cardiac MRI patients including the respective sequences were retrospectively included. Two independent, blinded readers rated image quality, depiction of segmental LGE and documented acquisition time, SNR, CNR and amount of LGE. Results were compared using the Friedman or the Kruskal-Wallis test. For LGE rating, a jackknife free-response receiver operating characteristic analysis was performed with a figure of merit (FOM) calculation. Forty-two patients were included, thirty-two were examined with a 1.5 T-scanner and ten patients with a 3 T-scanner. The mean acquisition time of the 2D sequence was significantly shorter compared to the 3D sequence (07:12 min vs. 09:24 min; p < 0.001). The 3D scan time was significantly shorter when performed at 3 T compared to 1.5 T (07:47 min vs. 09:50 min; p < 0.001). There were no differences regarding SNR, CNR or amount of LGE. 3D imaging had a significantly higher FOM (0.89 vs. 0.78; p < 0.001). Overall image quality ratings were similar, but 3D sequence ratings were higher for fine anatomical structures. Free-breathing motion-corrected 3D LGE with high isotropic resolution results in enhanced LGE-detection with higher confidence and better delineation of fine structures. The acquisition time for 3D imaging was longer, but may be reduced by performing on a 3 T-scanner.
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Affiliation(s)
- Alan A Peters
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
| | - Benedikt Wagner
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | - Giancarlo Spano
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fabian Haupt
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | - Lukas Ebner
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | | | - Michaela Schmidt
- Cardiovascular MR Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Radhouene Neji
- MR Research Collaborations, Siemens Healthcare Limited, Frimley, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - René Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Bernd Jung
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | - Andreas Christe
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adrian T Huber
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
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