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Lu ZF, Yin WH, Schoepf UJ, Abrol S, Ma JW, Yu XB, Zhao L, Su XM, Wang CS, An YQ, Xiao ZC, Lu B. Residual Risk in Non-ST-Segment Elevation Acute Coronary Syndrome: Quantitative Plaque Analysis at Coronary CT Angiography. Radiology 2023; 308:e230124. [PMID: 37606570 DOI: 10.1148/radiol.230124] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Background Lipid-rich plaques detected with intravascular imaging are associated with adverse cardiovascular events in patients with non-ST-segment elevation (NSTE) acute coronary syndrome (ACS). But evidence about the prognostic implication of coronary CT angiography (CCTA) in NSTE ACS is limited. Purpose To assess whether quantitative variables at CCTA that reflect lipid content in nonrevascularized plaques in individuals with NSTE ACS might be predictors of subsequent nonrevascularized plaque-related major adverse cardiovascular events (MACEs). Materials and Methods In this multicenter prospective cohort study, from November 2017 to January 2019, individuals diagnosed with NSTE ACS (excluding those at very high risk) were enrolled and underwent CCTA before invasive coronary angiography (ICA) within 1 day. Lipid core was defined as areas with attenuation less than 30 HU in plaques. MACEs were defined as cardiac death, myocardial infarction, hospitalization for unstable angina, and revascularization. Participants were followed up at 6 months, 12 months, and annually thereafter for at least 3 years (ending by July 2022). Multivariable analysis using Cox proportional hazards regression models was performed to determine the association between lipid core burden, lipid core volume, and future nonrevascularized plaque-related MACEs at both the participant and plaque levels. Results A total of 342 participants (mean age, 57.9 years ± 11.1 [SD]; 263 male) were included for analysis with a median follow-up period of 4.0 years (IQR, 3.6-4.4 years). The 4-year nonrevascularized plaque-related MACE rate was 23.9% (95% CI: 19.1, 28.5). Lipid core burden (hazard ratio [HR], 12.6; 95% CI: 4.6, 34.3) was an independent predictor at the participant level, with an optimum threshold of 2.8%. Lipid core burden (HR, 12.1; 95% CI: 6.6, 22.3) and volume (HR, 11.0; 95% CI: 6.5, 18.4) were independent predictors at the plaque level, with an optimum threshold of 7.2% and 10.1 mm3, respectively. Conclusion In NSTE ACS, quantitative analysis of plaque lipid content at CCTA independently predicted participants and plaques at higher risk for future nonrevascularized plaque-related MACEs. Chinese Clinical Trial Registry no. ChiCTR1800018661 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Tavakoli and Duman in this issue.
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Affiliation(s)
- Zhong-Fei Lu
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Wei-Hua Yin
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - U Joseph Schoepf
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Sameer Abrol
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Jing-Wen Ma
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Xian-Bo Yu
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Li Zhao
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Xiao-Ming Su
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Chuang-Shi Wang
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Yun-Qiang An
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Zhi-Cheng Xiao
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
| | - Bin Lu
- From the Department of Radiology (Z.F.L., W.H.Y., J.W.M., L.Z., Y.Q.A., B.L.), NHC Key Laboratory of Clinical Research for Cardiovascular Medications (X.M.S.), and Medical Research & Biometrics Center (C.S.W.), State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #167 Bei-Li-Shi Street, Beijing 100037, People's Republic of China; Departments of Radiology (Z.F.L.) and Cardiology (Z.C.X.), Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China; Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (U.J.S., S.A.); and CT Collaboration, Siemens Healthineers, Beijing, People's Republic of China (X.B.Y.)
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Bienstock S, Lin F, Blankstein R, Leipsic J, Cardoso R, Ahmadi A, Gelijns A, Patel K, Baldassarre LA, Hadley M, LaRocca G, Sanz J, Narula J, Chandrashekhar YS, Shaw LJ, Fuster V. Advances in Coronary Computed Tomographic Angiographic Imaging of Atherosclerosis for Risk Stratification and Preventive Care. JACC Cardiovasc Imaging 2023; 16:1099-1115. [PMID: 37178070 DOI: 10.1016/j.jcmg.2023.02.002] [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: 08/11/2022] [Revised: 01/04/2023] [Accepted: 02/01/2023] [Indexed: 05/15/2023]
Abstract
The diagnostic evaluation of coronary artery disease is undergoing a dramatic transformation with a new focus on atherosclerotic plaque. This review details the evidence needed for effective risk stratification and targeted preventive care based on recent advances in automated measurement of atherosclerosis from coronary computed tomography angiography (CTA). To date, research findings support that automated stenosis measurement is reasonably accurate, but evidence on variability by location, artery size, or image quality is unknown. The evidence for quantification of atherosclerotic plaque is unfolding, with strong concordance reported between coronary CTA and intravascular ultrasound measurement of total plaque volume (r >0.90). Statistical variance is higher for smaller plaque volumes. Limited data are available on how technical or patient-specific factors result in measurement variability by compositional subgroups. Coronary artery dimensions vary by age, sex, heart size, coronary dominance, and race and ethnicity. Accordingly, quantification programs excluding smaller arteries affect accuracy for women, patients with diabetes, and other patient subsets. Evidence is unfolding that quantification of atherosclerotic plaque is useful to enhance risk prediction, yet more evidence is required to define high-risk patients across varied populations and to determine whether such information is incremental to risk factors or currently used coronary computed tomography techniques (eg, coronary artery calcium scoring or visual assessment of plaque burden or stenosis). In summary, there is promise for the utility of coronary CTA quantification of atherosclerosis, especially if it can lead to targeted and more intensive cardiovascular prevention, notably for those patients with nonobstructive coronary artery disease and high-risk plaque features. The new quantification techniques available to imagers must not only provide sufficient added value to improve patient care, but also add minimal and reasonable cost to alleviate the financial burden on our patients and the health care system.
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Affiliation(s)
- Solomon Bienstock
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Fay Lin
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jonathon Leipsic
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Rhanderson Cardoso
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Amir Ahmadi
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Annetine Gelijns
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Krishna Patel
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lauren A Baldassarre
- Department of Cardiovascular Medicine and Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Michael Hadley
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Gina LaRocca
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Javier Sanz
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jagat Narula
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Leslee J Shaw
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
| | - Valentin Fuster
- Division of Cardiology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Ngamdu KS, Ghosalkar DS, Chung HE, Christensen JL, Lee C, Butler CA, Ho T, Chu A, Heath JR, Baig M, Wu WC, Choudhary G, Morrison AR. Long-term statin therapy is associated with severe coronary artery calcification. PLoS One 2023; 18:e0289111. [PMID: 37498869 PMCID: PMC10374064 DOI: 10.1371/journal.pone.0289111] [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: 08/23/2022] [Accepted: 07/11/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Atherosclerosis and consequent risk of cardiovascular events or mortality can be accurately assessed by quantifying coronary artery calcium score (CACS) derived from computed tomography. HMG-CoA-reductase inhibitors (statins) are the primary pharmacotherapy used to reduce cardiovascular events, yet there is growing data that support statin use may increase coronary calcification. We set out to determine the likelihood of severe CACS in the context of chronic statin therapy. METHODS We established a retrospective, case-control study of 1,181 U.S. veterans without coronary artery disease (CAD) from a single site, the Providence VA Medical Center. Duration of statin therapy for primary prevention was divided into 5-year categorical increments. The primary outcome was CACS derived from low-dose lung cancer screening computed tomography (LCSCT), stratified by CACs severity (none = 0; mild = 1-99; moderate = 100-399; and severe ≥400 AU). Statin duration of zero served as the referent control. Ordinal logistic regression analysis determined the association between duration of statin use and CACS categories. Proportional odds assumption was tested using likelihood ratio test. Atherosclerotic cardiovascular disease (ASCVD) risk score, body mass index, and CKD (glomerular filtration rate of <60 ml/min/1.73 m2) were included in the adjustment models. RESULTS The mean age of the study population was 64.7±7.2 years, and 706 (60%) patients were prescribed a statin at baseline. Duration of statin therapy was associated with greater odds of having increased CACS (>0-5 years, OR: 1.71 [CI: 1.34-2.18], p<0.001; >5-10 years, OR: 2.80 [CI: 2.01-3.90], p<0.001; >10 years, OR: 5.30 [CI: 3.23-8.70], p<0.001), and the relationship between statin duration and CACS remained significant after multivariate adjustment (>0-5 years, OR: 1.49 [CI: 1.16-1.92], p = 0.002; >5-10 years, OR: 2.38 [CI: 1.7-3.35], p<0.001; >10 years, OR: 4.48 [CI: 2.7-7.43], p<0.001). CONCLUSIONS Long-term use of statins is associated with increased likelihood of severe CACS in patients with significant smoking history. The use of CACS to interpret cardiovascular event risk may require adjustment in the context of chronic statin therapy.
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Affiliation(s)
- Kyari Sumayin Ngamdu
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Dhairyasheel S. Ghosalkar
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Hojune E. Chung
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Jared L. Christensen
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Cadence Lee
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Celia A. Butler
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Tiffany Ho
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Alice Chu
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Jacob R. Heath
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Muhammad Baig
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Wen-Chih Wu
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Gaurav Choudhary
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Alan R. Morrison
- Departments of Research and Medicine, Vascular Research Laboratory, Providence VA Medical Center, Providence, Rhode Island, United States of America
- Department of Research, Ocean State Research Institute, Inc., Providence, Rhode Island, United States of America
- Department of Medicine, Section of Cardiology, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
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Honaryar MK, Allodji R, Jimenez G, Lapeyre M, Panh L, Camilleri J, Broggio D, Ferrières J, De Vathaire F, Jacob S. Early Development of Atherosclerotic Plaques in the Coronary Arteries after Radiotherapy for Breast Cancer (BACCARAT Study). J Cardiovasc Dev Dis 2023; 10:299. [PMID: 37504555 PMCID: PMC10380516 DOI: 10.3390/jcdd10070299] [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: 05/15/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 07/29/2023] Open
Abstract
Background-Radiotherapy (RT) for breast cancer (BC) can lead to an increased risk of coronary artery disease several years after RT. The aim of this study was to evaluate the development of overall, non-calcified and calcified atherosclerotic plaques over 2 years after BC for RT and associations with cardiac exposure. Methods-The study included 101 left- or right-sided BC patients treated with RT without chemotherapy. A coronary CT angiography was performed before and 2 years after RT. Plaque development thorough the entire coronary network was defined as an increased number of plaques. Cardiac exposure was quantified with mean doses to the heart, left ventricle, and coronary arteries. Logistic regression models were used to assess association with doses. Results-At inclusion, 37% of patients had plaques, increasing to 42% two years after RT. Overall plaque development was observed in seven patients: five with calcified plaque development and four with non-calcified plaque development. The risk of overall plaque development was significantly associated with doses to the Left Main and Circumflex coronary arteries (OR at 1 Gy = 2.32, p = 0.03 and OR at 1 Gy = 2.27, p = 0.03, respectively). Specific analyses for calcified and non-calcified plaque development showed similar results. Conclusion-Our study suggests an association between coronary arteries exposure and the risk of developing both calcified and non-calcified atherosclerotic plaques over 2 years after BC RT. Trial registration number: NCT02605512.
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Affiliation(s)
| | - Rodrigue Allodji
- INSERM U 1018, CESP, Radiation Epidemiology Team, 94800 Villejuif, France
- Gustave Roussy, Research Department, 94800 Villejuif, France
- University Paris-Saclay, 94800 Villejuif, France
| | - Gaelle Jimenez
- Department of Radiation Oncology (Oncorad), Clinique Pasteur, 31076 Toulouse, France
| | - Mathieu Lapeyre
- Department of Radiology, Clinique Pasteur, 31076 Toulouse, France
| | - Loic Panh
- Department of Cardiology, Clinique Pasteur, 31076 Toulouse, France
| | - Jeremy Camilleri
- Department of Radiology, Clinique Pasteur, 31076 Toulouse, France
| | - David Broggio
- Department of Dosimetry, PSE-SANTE/SDOS/LEDI, Institute for Radiation Protection and Nuclear Safety (IRSN), 92260 Fontenay-aux-Roses, France
| | - Jean Ferrières
- Department of Cardiology and INSERM UMR 1295, Rangueil University Hospital, 31400 Toulouse, France
| | - Florent De Vathaire
- INSERM U 1018, CESP, Radiation Epidemiology Team, 94800 Villejuif, France
- Gustave Roussy, Research Department, 94800 Villejuif, France
- University Paris-Saclay, 94800 Villejuif, France
| | - Sophie Jacob
- Laboratory of Epidemiology, PSE-SANTE/SESANE/LEPID, Institute for Radiation Protection and Nuclear Safety (IRSN), 92260 Fontenay-aux-Roses, France
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55
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Berry C, Kramer CM, Kunadian V, Patel TR, Villines T, Kwong RY, Raharjo DE. Great Debate: Computed tomography coronary angiography should be the initial diagnostic test in suspected angina. Eur Heart J 2023; 44:2366-2375. [PMID: 36917627 PMCID: PMC10327881 DOI: 10.1093/eurheartj/ehac597] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Affiliation(s)
- Colin Berry
- British Heart Foundation Glasgow Cardiovascular Research Centre, 126 University Place, University of Glasgow, Glasgow, G128TA, UK
- Golden Jubilee National Hospital, Agamemnon Street, Clydebank, G81 4DY, UK
| | - Christopher M Kramer
- Cardiovascular Division, Department of Medicine, University of Virginia Health System, 1215 Lee St., Box 800158, Charlottesville, VA 22908, USA
- Department of Radiology and Medical Imaging, University of Virginia Health System, 1215 Lee St., Box 800170, Charlottesville, VA 22908, USA
| | - Vijay Kunadian
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, 4th Floor William Leech Building, Newcastle upon Tyne NE2 4HH, UK
- Cardiothoracic Centre, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Toral R Patel
- Cardiovascular Division, Department of Medicine, University of Virginia Health System, 1215 Lee St., Box 800158, Charlottesville, VA 22908, USA
| | - Todd Villines
- Cardiovascular Division, Department of Medicine, University of Virginia Health System, 1215 Lee St., Box 800158, Charlottesville, VA 22908, USA
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Daniell Edward Raharjo
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, 4th Floor William Leech Building, Newcastle upon Tyne NE2 4HH, UK
- Cardiothoracic Centre, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
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Salem AM, Davis J, Gopalan D, Rudd JHF, Clarke SC, Schofield PM, Bennett MR, Brown AJ, Obaid DR. Characteristics of conventional high-risk coronary plaques and a novel CT defined thin-cap fibroatheroma in patients undergoing CCTA with stable chest pain. Clin Imaging 2023; 101:69-76. [PMID: 37311397 DOI: 10.1016/j.clinimag.2023.06.009] [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: 03/07/2023] [Revised: 05/20/2023] [Accepted: 06/06/2023] [Indexed: 06/15/2023]
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA) can identify high-risk coronary plaque types. However, the inter-observer variability for high-risk plaque features, including low attenuation plaque (LAP), positive remodelling (PR), and the Napkin-Ring sign (NRS), may reduce their utility, especially amongst less experienced readers. METHODOLOGY In a prospective study, we compared the prevalence, location and inter-observer variability of both conventional CT-defined high-risk plaques with a novel index based on quantifying the ratio of necrotic core to fibrous plaque using individualised X-ray attenuation cut-offs (the CT-defined thin-cap fibroatheroma - CT-TCFA) in 100 patients followed-up for 7 years. RESULTS In total, 346 plaques were identified in all patients. Seventy-two (21%) of all plaques were classified by conventional CT parameters as high-risk (either NRS or PR and LAP combined), and 43 (12%) of plaques were considered high-risk using the novel CT-TCFA definition of (Necrotic Core/fibrous plaque ratio of >0.9). The majority (80%) of the high-risk plaques (LAP&PR, NRS and CT-TCFA) were located in the proximal and mid-LAD and RCA. The kappa co-efficient of inter-observer variability (k) for NRS was 0.4 and for PR and LAP combined 0.4. While the kappa co-efficient of inter-observer variability (k) for the new CT-TCFA definition was 0.7. During follow-up, patients with either conventional high-risk plaques or CT-TCFAs were significantly more likely to have MACE (Major adverse cardiovascular events) compared to patients without coronary plaques (p value 0.03 & 0.03, respectively). CONCLUSION The novel CT-TCFA is associated with MACE and has improved inter-observer variability compared with current CT-defined high-risk plaques.
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Affiliation(s)
- Ahmed M Salem
- Cardiology Department, Swansea Bay University Health Board, UK; Institute of Life Sciences-2, Swansea University Medical School, UK
| | - Joel Davis
- Southampton General Hospital, Southampton, UK
| | | | - James H F Rudd
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
| | - Sarah C Clarke
- Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK
| | | | - Martin R Bennett
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
| | - Adam J Brown
- The School of Clinical Sciences at Monash Health, Melbourne, Australia
| | - Daniel R Obaid
- Cardiology Department, Swansea Bay University Health Board, UK; Institute of Life Sciences-2, Swansea University Medical School, UK.
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57
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Adolf R, Nano N, Chami A, von Schacky CE, Will A, Hendrich E, Martinoff SA, Hadamitzky M. Convolutional neural networks on risk stratification of patients with suspected coronary artery disease undergoing coronary computed tomography angiography. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:1209-1216. [PMID: 37010650 DOI: 10.1007/s10554-023-02824-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/26/2023] [Indexed: 05/28/2023]
Abstract
To assess the prognostic value of convolutional neural networks (CNN) on coronary computed tomography angiography (CCTA) in comparison to conventional computed tomography (CT) reporting and clinical risk scores. 5468 patients who underwent CCTA with suspected coronary artery disease (CAD) were included. Primary endpoint was defined as a composite of all-cause death, myocardial infarction, unstable angina or late revascularization (> 90 days after CCTA). Early revascularization was additionally included as a training endpoint for the CNN algorithm. Cardiovascular risk stratification was based on Morise score and the extent of CAD (eoCAD) as assessed on CCTA. Semiautomatic post-processing was performed for vessel delineation and annotation of calcified and non-calcified plaque areas. Using a two-step training of a DenseNet-121 CNN the entire network was trained with the training endpoint, followed by training the feature layer with the primary endpoint. During a median follow-up of 7.2 years, the primary endpoint occurred in 334 patients. CNN showed an AUC of 0.631 ± 0.015 for prediction of the combined primary endpoint, while combining it with conventional CT and clinical risk scores showed an improvement of AUC from 0.646 ± 0.014 (based on eoCAD only) to 0.680 ± 0.015 (p < 0.0001) and from 0.619 ± 0.0149 (based on Morise Score only) to 0.6812 ± 0.0145 (p < 0.0001), respectively. In a stepwise model including all prediction methods, it was found an AUC of 0.680 ± 0.0148. CNN analysis showed to improve conventional CCTA-derived and clinical risk stratification when evaluating CCTA of patients with suspected CAD.
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Affiliation(s)
- Rafael Adolf
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Technical University of Munich, Lazarettstrasse 36, 80636, Munich, Germany
| | - Nejva Nano
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Technical University of Munich, Lazarettstrasse 36, 80636, Munich, Germany
| | - Alessa Chami
- Department of Diagnostic and Interventional Radiology, Klinikum München Neuperlach, Munich, Germany
| | - Claudio E von Schacky
- Department of Diagnostic and Interventional Radiology, Klinikum Rechts der Isar of Munich Technical University, Munich, Germany
| | - Albrecht Will
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Technical University of Munich, Lazarettstrasse 36, 80636, Munich, Germany
| | - Eva Hendrich
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Technical University of Munich, Lazarettstrasse 36, 80636, Munich, Germany
| | - Stefan A Martinoff
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Technical University of Munich, Lazarettstrasse 36, 80636, Munich, Germany
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Technical University of Munich, Lazarettstrasse 36, 80636, Munich, Germany.
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58
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Liu M, Li R, Bai C, Chen Q, Yin Y, Chen Y, Zhou X, Zhao X. Predictive value of DEEPVESSEL-fractional flow reserve and quantitative plaque analysis based on coronary CT angiography for major adverse cardiac events. Clin Radiol 2023:S0009-9260(23)00179-4. [PMID: 37258332 DOI: 10.1016/j.crad.2023.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 03/26/2023] [Accepted: 04/25/2023] [Indexed: 06/02/2023]
Abstract
AIM To investigate the predictive value of the combination of DEEPVESSEL-fractional flow reserve (DVFFR) and quantitative plaque analysis using coronary computed tomographic angiography (CCTA) for major adverse cardiac events (MACE). METHOD In this retrospective study, data from 69 vessels from 58 consecutive patients were collected. These patients who underwent coronary angiography (CAG) with DVFFR were divided into MACE-positive and MACE-negative groups. DVFFR measurements were obtained from CCTA images acquired before CAG, and an FFR or DVFFR value ≤ 0.80 was considered haemodynamically significant. CCTA images were analysed quantitatively using automated software to obtain the following indices: total plaque volume (TPV) and burden (TPB), calcified plaque volume (CPV) and burden (CPB), non-calcified plaque volume (NCPV) and burden (NCPB), low-attenuation plaque (LAP), minimum lumen area (MLA), stenosis grade (SG) and lesion length (LL). Univariate and multivariate logistic regression, correlation, and receiver operating characteristic (ROC) analyses were used for statistical analysis. RESULTS DVFFR was highly correlated with invasive FFR (R=0.728), and the Bland-Altman plot showed good agreement between DVFFR and FFR (95% CI: -0.109-0.087) on a per-vessel level. DVFFR showed a high diagnostic performance in identifying abnormal haemodynamic vessels, with an area under the ROC curve (AUC) of 0.984. In multivariate analysis, the following biomarkers were predictors of MACE: DVFFR ≤ 0.8, SG, TPB, NCPB, and LL values. The combination of the above independent risk factors yielded the most valuable prediction for MACE (AUC:0.888). CONCLUSIONS DVFFR was highly correlated with FFR with satisfactory diagnostic accuracy. DVFFR, together with plaque analysis indices, yielded valuable predictions for MACE.
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Affiliation(s)
- M Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - R Li
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - C Bai
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Q Chen
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Y Yin
- Keya Medical, Shenzhen, China
| | - Y Chen
- Keya Medical, Shenzhen, China
| | - X Zhou
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - X Zhao
- Department of Interventional Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
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Fagman E, Alvén J, Westerbergh J, Kitslaar P, Kercsik M, Cederlund K, Duvernoy O, Engvall J, Gonçalves I, Markstad H, Ostenfeld E, Bergström G, Hjelmgren O. High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography angiography. Heliyon 2023; 9:e16058. [PMID: 37215775 PMCID: PMC10199173 DOI: 10.1016/j.heliyon.2023.e16058] [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: 04/04/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/24/2023] Open
Abstract
Background Plaque analysis with coronary computed tomography angiography (CCTA) is a promising tool to identify high risk of future coronary events. The analysis process is time-consuming, and requires highly trained readers. Deep learning models have proved to excel at similar tasks, however, training these models requires large sets of expert-annotated training data. The aims of this study were to generate a large, high-quality annotated CCTA dataset derived from Swedish CArdioPulmonary BioImage Study (SCAPIS), report the reproducibility of the annotation core lab and describe the plaque characteristics and their association with established risk factors. Methods and results The coronary artery tree was manually segmented using semi-automatic software by four primary and one senior secondary reader. A randomly selected sample of 469 subjects, all with coronary plaques and stratified for cardiovascular risk using the Systematic Coronary Risk Evaluation (SCORE), were analyzed. The reproducibility study (n = 78) showed an agreement for plaque detection of 0.91 (0.84-0.97). The mean percentage difference for plaque volumes was -0.6% the mean absolute percentage difference 19.4% (CV 13.7%, ICC 0.94). There was a positive correlation between SCORE and total plaque volume (rho = 0.30, p < 0.001) and total low attenuation plaque volume (rho = 0.29, p < 0.001). Conclusions We have generated a CCTA dataset with high-quality plaque annotations showing good reproducibility and an expected correlation between plaque features and cardiovascular risk. The stratified data sampling has enriched high-risk plaques making the data well suited as training, validation and test data for a fully automatic analysis tool based on deep learning.
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Affiliation(s)
- Erika Fagman
- Department of Radiology, Institute of Clinical Sciences, University of Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jennifer Alvén
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden
- Computer Vision and Medical Image Analysis, Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Johan Westerbergh
- Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | | | - Michael Kercsik
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden
- Department of Radiology, Alingsås Hospital, Alingsås, Sweden
| | - Kerstin Cederlund
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Olov Duvernoy
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Sweden
| | - Jan Engvall
- Department of Clinical Physiology and Department of Health, Medicine and Caring Sciences, Linkoping University, Linkoping, Sweden
- CMIV – Center for Medical Image Science and Visualization, Linkoping University, Linkoping, Sweden
| | - Isabel Gonçalves
- Department of Cardiology, Skane University Hospital, Lund, Sweden
- Cardiovascular Research Translational Studies, Clinical Sciences Malmö, Lund University, Sweden
| | - Hanna Markstad
- Cardiovascular Research Translational Studies, Clinical Sciences Malmö, Lund University, Sweden
- Department of Clinical Sciences Lund, Diagnostic Radiology, Lund University, Skane University Hospital, Lund, Sweden
| | - Ellen Ostenfeld
- Department of Clinical Sciences Lund, Clinical Physiology, Lund University, Skane University Hospital, Lund, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden
- Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ola Hjelmgren
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden
- Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
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Tonet E, Boccadoro A, Micillo M, Cocco M, Cossu A, Pompei G, Giganti M, Campo G. Coronary Computed Tomography Angiography: Beyond Obstructive Coronary Artery Disease. Life (Basel) 2023; 13:1086. [PMID: 37240730 PMCID: PMC10223586 DOI: 10.3390/life13051086] [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: 03/09/2023] [Revised: 04/10/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Nowadays, coronary computed tomography angiography (CCTA) has a role of paramount importance in the diagnostic algorithm of ischemic heart disease (IHD), both in stable coronary artery disease (CAD) and acute chest pain. Alongside the quantification of obstructive coronary artery disease, the recent technologic developments in CCTA provide additional relevant information that can be considered as "novel markers" for risk stratification in different settings, including ischemic heart disease, atrial fibrillation, and myocardial inflammation. These markers include: (i) epicardial adipose tissue (EAT), associated with plaque development and the occurrence of arrhythmias; (ii) late iodine enhancement (LIE), which allows the identification of myocardial fibrosis; and (iii) plaque characterization, which provides data about plaque vulnerability. In the precision medicine era, these emerging markers should be integrated into CCTA evaluation to allow for the bespoke interventional and pharmacological management of each patient.
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Affiliation(s)
- Elisabetta Tonet
- Cardiovascular Institute, Azienda Ospedaliero-Universitaria di Ferrara, 44124 Cona, Italy
| | - Alberto Boccadoro
- Cardiovascular Institute, Azienda Ospedaliero-Universitaria di Ferrara, 44124 Cona, Italy
| | - Marco Micillo
- Cardiovascular Institute, Azienda Ospedaliero-Universitaria di Ferrara, 44124 Cona, Italy
| | - Marta Cocco
- Cardiovascular Institute, Azienda Ospedaliero-Universitaria di Ferrara, 44124 Cona, Italy
| | - Alberto Cossu
- Department of Morphology, Surgery and Experimental Medicine, Section of Radiology, University of Ferrara, 44121 Ferrara, Italy
| | - Graziella Pompei
- Cardiovascular Institute, Azienda Ospedaliero-Universitaria di Ferrara, 44124 Cona, Italy
| | - Melchiore Giganti
- Department of Morphology, Surgery and Experimental Medicine, Section of Radiology, University of Ferrara, 44121 Ferrara, Italy
| | - Gianluca Campo
- Cardiovascular Institute, Azienda Ospedaliero-Universitaria di Ferrara, 44124 Cona, Italy
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Choi D, Malick WA, Koenig W, Rader DJ, Rosenson RS. Familial Hypercholesterolemia: Challenges for a High-Risk Population: JACC Focus Seminar 1/3. J Am Coll Cardiol 2023; 81:1621-1632. [PMID: 37076217 DOI: 10.1016/j.jacc.2023.02.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 02/02/2023] [Indexed: 04/21/2023]
Abstract
The availability of statins, ezetimibe, and PCSK9 inhibitors has significantly improved the prognosis of familial hypercholesterolemia (FH). However, a great number of individuals with FH do not achieve guideline-recommended low-density lipoprotein (LDL) cholesterol levels despite maximal lipid-lowering therapy. Novel therapies that lower LDL independent of LDL receptor activity can help mitigate atherosclerotic cardiovascular disease risk in most homozygous FH and many heterozygous FH patients. However, access to novel therapies remains limited for heterozygous FH patients with persistent elevation of LDL cholesterol despite treatment with multiple classes of cholesterol-lowering therapies. Conduction of cardiovascular outcomes clinical trials in patients with FH can be challenging because of difficulty in recruitment and long periods of follow-up. In the future, the use of validated surrogate measures of atherosclerosis may allow for clinical trials with fewer study participants and shorter duration, thereby expediting access to novel treatments for patients with FH.
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Affiliation(s)
- Daein Choi
- Department of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Waqas A Malick
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Daniel J Rader
- Departments of Medicine and Genetics and the Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert S Rosenson
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA. https://twitter.com/DrRSRosenson
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62
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Meah MN, Wereski R, Bularga A, van Beek EJR, Dweck MR, Mills NL, Newby DE, Dey D, Williams MC, Lee KK. Coronary low-attenuation plaque and high-sensitivity cardiac troponin. Heart 2023; 109:702-709. [PMID: 36631142 PMCID: PMC10357930 DOI: 10.1136/heartjnl-2022-321867] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/23/2022] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE In patients with acute chest pain who have had myocardial infarction excluded, plasma cardiac troponin I concentrations ≥5 ng/L are associated with risk of future adverse cardiovascular events. We aim to evaluate the association between cardiac troponin and coronary plaque composition in such patients. METHODS In a prespecified secondary analysis of a prospective cohort study, blinded quantitative plaque analysis was performed on 242 CT coronary angiograms of patients with acute chest pain in whom myocardial infarction was excluded. Patients were stratified by peak plasma cardiac troponin I concentration ≥5 ng/L or <5 ng/L. Associations were assessed using univariable and multivariable logistic regression analyses. RESULTS The cohort was predominantly middle-aged (62±12 years) men (69%). Patients with plasma cardiac troponin I concentration ≥5 ng/L (n=161) had a higher total (median 33% (IQR 0-47) vs 0% (IQR 0-33)), non-calcified (27% (IQR 0-37) vs 0% (IQR 0-28)), calcified (2% (IQR 0-8) vs 0% (IQR 0-3)) and low-attenuation (1% (IQR 0-3) vs 0% (IQR 0-1)) coronary plaque burden compared with those with concentrations <5 ng/L (n=81; p≤0.001 for all). Low-attenuation plaque burden was independently associated with plasma cardiac troponin I concentration ≥5 ng/L after adjustment for clinical characteristics (adjusted OR per doubling 1.62 (95% CI 1.17 to 2.32), p=0.005) or presence of any visible coronary artery disease (adjusted OR per doubling 1.57 (95% CI 1.07 to 2.37), p=0.026). CONCLUSION In patients with acute chest pain but without myocardial infarction, plasma cardiac troponin I concentrations ≥5 ng/L are associated with greater burden of low-attenuation coronary plaque.
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Affiliation(s)
- Mohammed N Meah
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
| | - Ryan Wereski
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
| | - Anda Bularga
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
| | - Edwin J R van Beek
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
- Edinburgh Imaging Facility, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
| | - Nicholas L Mills
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | - Kuan Ken Lee
- British Heart Foundation Centre for Cardiovascular Science, Edinburgh, UK
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Ghafari C, Brassart N, Delmotte P, Brunner P, Dghoughi S, Carlier S. Bioresorbable Magnesium-Based Stent: Real-World Clinical Experience and Feasibility of Follow-Up by Coronary Computed Tomography: A New Window to Look at New Scaffolds. Biomedicines 2023; 11:biomedicines11041150. [PMID: 37189769 DOI: 10.3390/biomedicines11041150] [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: 02/01/2023] [Revised: 03/17/2023] [Accepted: 04/06/2023] [Indexed: 05/17/2023] Open
Abstract
(1) Background: The diagnostic accuracy of coronary computed tomography angiography (CCTA) for coronary artery disease (CAD) has greatly improved so CCTA represents a transition in the care of patients suffering from CAD. Magnesium-based bioresorbable stents (Mg-BRS) secure acute percutaneous coronary intervention (PCI) results without leaving, in the long term, a metallic caging effect. The purpose of this real-world study was to assess clinical and CCTA medium- and long-term follow-up of all our patients with implanted Mg-BRS. (2) Methods: The patency of 52 Mg-BRS implanted in 44 patients with de novo lesions (24 of which had acute coronary syndrome (ACS)) was evaluated by CCTA and compared to quantitative coronary angiography (QCA) post-implantation. (3) Results: ten events including four deaths occurred during a median follow-up of 48 months. CCTA was interpretable and in-stent measurements were successful at follow-up without being hindered by the stent strut's "blooming effect". Minimal in-stent diameters on CCTA were found to be 1.03 ± 0.60 mm smaller than the expected diameter after post-dilation on implantation (p < 0.05), a difference not found in comparing CCTA and QCA. (4) Conclusions: CCTA follow-up of implanted Mg-BRS is fully interpretable and we confirm the long-term Mg-BRS safety profile.
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Affiliation(s)
- Chadi Ghafari
- Department of Cardiology, Research Institute for Health Sciences and Technology, University of Mons (UMONS), 7000 Mons, Belgium
| | | | | | | | | | - Stéphane Carlier
- Department of Cardiology, Research Institute for Health Sciences and Technology, University of Mons (UMONS), 7000 Mons, Belgium
- CHU Ambroise Paré, 7000 Mons, Belgium
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Lorenzatti D, Piña P, Csecs I, Schenone AL, Gongora CA, Garcia MJ, Blaha MJ, Budoff MJ, Williams MC, Dey D, Berman DS, Virani SS, Slipczuk L. Does Coronary Plaque Morphology Matter Beyond Plaque Burden? Curr Atheroscler Rep 2023; 25:167-180. [PMID: 36808390 DOI: 10.1007/s11883-023-01088-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2023] [Indexed: 02/23/2023]
Abstract
PURPOSE OF REVIEW Imaging of adverse coronary plaque features by coronary computed tomography angiography (CCTA) has advanced greatly and at a fast pace. We aim to describe the evolution, present and future in plaque analysis, and its value in comparison to plaque burden. RECENT FINDINGS Recently, it has been demonstrated that in addition to plaque burden, quantitative and qualitative assessment of coronary plaque by CCTA can improve the prediction of future major adverse cardiovascular events in diverse coronary artery disease scenarios. The detection of high-risk non-obstructive coronary plaque can lead to higher use of preventive medical therapies such as statins and aspirin, help identify culprit plaque, and differentiate between myocardial infarction types. Even more, over traditional plaque burden, plaque analysis including pericoronary inflammation can potentially be useful tools for tracking disease progression and response to medical therapy. The identification of the higher risk phenotypes with plaque burden, plaque characteristics, or ideally both can allow the allocation of targeted therapies and potentially monitor response. Further observational data are now required to investigate these key issues in diverse populations, followed by rigorous randomized controlled trials.
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Affiliation(s)
- Daniel Lorenzatti
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Pamela Piña
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
- Cardiology Division, CEDIMAT Cardiovascular Center, Santo Domingo, Dominican Republic
| | - Ibolya Csecs
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Aldo L Schenone
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carlos A Gongora
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mario J Garcia
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA, USA
| | - Michelle C Williams
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, Queen's Medical Research Institute University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel S Berman
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Salim S Virani
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Section of Cardiology, Department of Medicine, The Aga Khan University, Karachi, Pakistan
| | - Leandro Slipczuk
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
- Clinical Cardiology, Advanced Cardiac Imaging, CV Atherosclerosis and Lipid Disorder Center, Montefiore Health System, NewYork, USA.
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Lan Z, Ding X, Yu Y, Yu L, Yang W, Dai X, Ling R, Wang Y, Yang W, Zhang J. CT-derived fractional flow reserve for prediction of major adverse cardiovascular events in diabetic patients. Cardiovasc Diabetol 2023; 22:65. [PMID: 36944990 PMCID: PMC10032006 DOI: 10.1186/s12933-023-01801-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/13/2023] [Indexed: 03/23/2023] Open
Abstract
OBJECTIVES To investigate the prognostic value of computed tomography fractional flow reserve (CT-FFR) in patients with diabetes and to establish a risk stratification model for major adverse cardiac event (MACE). METHODS Diabetic patients with intermediate pre-test probability of coronary artery disease were prospectively enrolled. All patients were referred for coronary computed tomography angiography and followed up for at least 2 years. In the training cohort comprising of 957 patients, two models were developed: model1 with the inclusion of clinical and conventional imaging parameters, model2 incorporating the above parameters + CT-FFR. An internal validation cohort comprising 411 patients and an independent external test cohort of 429 patients were used to validate the proposed models. RESULTS 1797 patients (mean age: 61.0 ± 7.0 years, 1031 males) were finally included in the present study. MACE occurred in 7.18% (129/1797) of the current cohort during follow- up. Multivariate Cox regression analysis revealed that CT-FFR ≤ 0.80 (hazard ratio [HR] = 4.534, p < 0.001), HbA1c (HR = 1.142, p = 0.015) and low attenuation plaque (LAP) (HR = 3.973, p = 0.041) were the independent predictors for MACE. In the training cohort, the Log-likelihood test showed statistical significance between model1 and model2 (p < 0.001). The C-index of model2 was significantly larger than that of model1 (C-index = 0.82 [0.77-0.87] vs. 0.80 [0.75-0.85], p = 0.021). Similar findings were found in internal validation and external test cohorts. CONCLUSION CT-FFR was a strong independent predictor for MACE in diabetic cohort. The model incorporating CT-FFR, LAP and HbA1c yielded excellent performance in predicting MACE.
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Affiliation(s)
- Ziting Lan
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Xiaoying Ding
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Yarong Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Lihua Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Wenli Yang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China
| | - Xu Dai
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China
| | - Runjianya Ling
- Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China
| | - Yufan Wang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China
| | - Wenyi Yang
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China.
| | - Jiayin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, 200080, China.
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Kitada R, Otsuka K, Fukuda D. Role of plaque imaging for identification of vulnerable patients beyond the stage of myocardial ischemia. Front Cardiovasc Med 2023; 10:1095806. [PMID: 37008333 PMCID: PMC10063905 DOI: 10.3389/fcvm.2023.1095806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 02/21/2023] [Indexed: 03/19/2023] Open
Abstract
Chronic coronary syndrome (CCS) is a progressive disease, which often first manifests as acute coronary syndrome (ACS). Imaging modalities are clinically useful in making decisions about the management of patients with CCS. Accumulating evidence has demonstrated that myocardial ischemia is a surrogate marker for CCS management; however, its ability to predict cardiovascular death or nonfatal myocardial infarction is limited. Herein, we present a review that highlights the latest knowledge available on coronary syndromes and discuss the role and limitations of imaging modalities in the diagnosis and management of patients with coronary artery disease. This review covers the essential aspects of the role of imaging in assessing myocardial ischemia and coronary plaque burden and composition. Furthermore, recent clinical trials on lipid-lowering and anti-inflammatory therapies have been discussed. Additionally, it provides a comprehensive overview of intracoronary and noninvasive cardiovascular imaging modalities and an understanding of ACS and CCS, with a focus on histopathology and pathophysiology.
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67
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Verdoia M, Rognoni A. Coronary Physiology: Modern Concepts for the Guidance of Percutaneous Coronary Interventions and Medical Therapy. J Clin Med 2023; 12:2274. [PMID: 36983275 PMCID: PMC10057250 DOI: 10.3390/jcm12062274] [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: 02/07/2023] [Revised: 03/08/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Recent evidence on ischemia, rather than coronary artery disease (CAD), representing a major determinant of outcomes, has led to a progressive shift in the management of patients with ischemic heart disease. According to most recent guidelines, myocardial revascularization strategies based on anatomical findings should be progressively abandoned in favor of functional criteria for the guidance of PCI. Thus, emerging importance has been assigned to the assessment of coronary physiology in order to determine the ischemic significance of coronary stenoses. However, despite several indexes and tools that have been developed so far, the existence of technical and clinical conditions potentially biasing the functional evaluation of the coronary tree still cause debates regarding the strategy of choice. The present review provides an overview of the available methods and the most recent acquirements for the invasive assessment of ischemia, focusing on the most widely available indexes, fractional flow reserve (FFR) and instant-wave free ratio (iFR), in addition to emerging examples, as new approaches to coronary flow reserve (CFR) and microvascular resistance, aiming at promoting the knowledge and application of those "full physiology" principles, which are generally advocated to allow a tailored treatment and the achievement of the largest prognostic benefits.
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Affiliation(s)
- Monica Verdoia
- Nuovo Ospedale Degli Infermi, Azienda Sanitaria Locale Biella, 13900 Biella, Italy
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Kuneman JH, van den Hoogen IJ, Schultz J, Maaniitty T, van Rosendael AR, Kamperidis V, de Graaf MA, Broersen A, Jukema JW, Bax JJ, Saraste A, Knuuti J. Plaque volume, composition, and fraction versus ischemia and outcomes in patients with coronary artery disease. J Cardiovasc Comput Tomogr 2023:S1934-5925(23)00067-9. [PMID: 36922308 DOI: 10.1016/j.jcct.2023.02.004] [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: 07/26/2022] [Revised: 02/08/2023] [Accepted: 02/15/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND The various plaque components have been associated with ischemia and outcomes in patients with coronary artery disease (CAD). The main goal of this analysis was to test the hypothesis that, at patient level, the fraction of non-calcified plaque volume (PV) of total PV is associated with ischemia and outcomes in patients with CAD. This ratio could be a simple and clinically useful parameter, if predicting outcomes. METHODS Consecutive patients with suspected CAD undergoing coronary computed tomography angiography with selective positron emission tomography perfusion imaging were selected. Plaque components were quantitatively analyzed at patient level. The fraction of various plaque components were expressed as percentage of total PV and examined among patients with non-obstructive CAD, suspected stenosis with normal perfusion, and those with reduced myocardial perfusion. Clinical outcomes included all-cause mortality and myocardial infarction. RESULTS In total, 494 patients (age 63 ± 9 years, 55% male) were included. Total PV and all plaque components were significantly larger in patients with reduced myocardial perfusion compared to patients with normal perfusion and those with non-obstructive CAD. During follow-up 35 events occurred. Patients with any plaque component ≥ median showed worse outcomes (log-rank p < 0.001 for all). In addition, low-attenuation plaque ≥ median was associated with worse outcomes independent of total PV (adjusted HR: 2.754, 95% CI: 1.022-7.0419, p = 0.045). The fractions of the various plaque components were not associated with outcomes. CONCLUSION Larger total PV or any plaque component at patient level are associated with abnormal myocardial perfusion and adverse events. The various plaque components as fraction of total PV lack additional prognostic value.
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Affiliation(s)
- Jurrien H Kuneman
- Department of Cardiology, Leiden University Medical Center, the Netherlands
| | | | - Jussi Schultz
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | | | | | - Michiel A de Graaf
- Department of Cardiology, Leiden University Medical Center, the Netherlands
| | - Alexander Broersen
- Department of Radiology, Division of Image Processing, Leiden University Medical Center, the Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, the Netherlands; Netherlands Heart Institute, Utrecht, the Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, the Netherlands; Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland; Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- Department of Cardiology, Leiden University Medical Center, the Netherlands; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
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Han D, van Diemen P, Kuronuma K, Lin A, Motwani M, McElhinney P, Tomasino GF, Park C, Kwan A, Tzolos E, Klein E, Grodecki K, Shou B, Tamarappoo B, Cadet S, Danad I, Driessen RS, Berman DS, Slomka PJ, Dey D, Knaapen P. Sex differences in computed tomography angiography-derived coronary plaque burden in relation to invasive fractional flow reserve. J Cardiovasc Comput Tomogr 2023; 17:112-119. [PMID: 36670043 PMCID: PMC10148895 DOI: 10.1016/j.jcct.2022.12.002] [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: 05/13/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 01/20/2023]
Abstract
BACKGROUND Distinct sex-related differences exist in coronary artery plaque burden and distribution. We aimed to explore sex differences in quantitative plaque burden by coronary CT angiography (CCTA) in relation to ischemia by invasive fractional flow reserve (FFR). METHODS This post-hoc analysis of the PACIFIC trial included 581 vessels in 203 patients (mean age 58.1 ± 8.7 years, 63.5% male) who underwent CCTA and per-vessel invasive FFR. Quantitative assessment of total, calcified, non-calcified, and low-density non-calcified plaque burden were performed using semiautomated software. Significant ischemia was defined as invasive FFR ≤0.8. RESULTS The per-vessel frequency of ischemia was higher in men than women (33.5% vs. 7.5%, p < 0.001). Women had a smaller burden of all plaque subtypes (all p < 0.01). There was no sex difference on total, calcified, or non-calcified plaque burdens in vessels with ischemia; only low-density non-calcified plaque burden was significantly lower in women (beta: -0.183, p = 0.035). The burdens of all plaque subtypes were independently associated with ischemia in both men and women (For total plaque burden (5% increase): Men, OR: 1.15, 95%CI: 1.06-1.24, p = 0.001; Women, OR: 1.96, 95%CI: 1.11-3.46, p = 0.02). No significant interaction existed between sex and total plaque burden for predicting ischemia (interaction p = 0.108). The addition of quantitative plaque burdens to stenosis severity and adverse plaque characteristics improved the discrimination of ischemia in both men and women. CONCLUSIONS In symptomatic patients with suspected CAD, women have a lower CCTA-derived burden of all plaque subtypes compared to men. Quantitative plaque burden provides independent and incremental predictive value for ischemia, irrespective of sex.
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Affiliation(s)
- Donghee Han
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Pepijn van Diemen
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Keiichiro Kuronuma
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrew Lin
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Manish Motwani
- Manchester Heart Centre, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Priscilla McElhinney
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | | | - Caroline Park
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alan Kwan
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Evangelos Tzolos
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
| | - Eyal Klein
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kajetan Grodecki
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Benjamin Shou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Balaji Tamarappoo
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Cardiovascular Institute, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Sebastien Cadet
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ibrahim Danad
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Roel S Driessen
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Daniel S Berman
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J Slomka
- Artificial Interlligence in Medicine Program, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul Knaapen
- Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands
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Eghtedari B, Roy SK, Budoff MJ. Anti-inflammatory Therapeutics and Coronary Artery Disease. Cardiol Rev 2023; 31:80-86. [PMID: 35471811 DOI: 10.1097/crd.0000000000000428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
It has been demonstrated that atherosclerotic disease progression is contingent upon chronic inflammation. The sequence of events leading up to plaque formation, instability, and eventual plaque rupture hinges upon the interaction of proinflammatory cytokines and fat deposition within the coronary vasculature. Over the past decade, a large body of evidence has demonstrated the efficacy of specific anti-inflammatory therapeutics in halting the progression of coronary artery disease. Despite this, these therapeutics have yet to be included in guideline-directed medical therapy regimens. This review will focus on several anti-inflammatories, which have been studied in the context of cardiovascular disease-colchicine, canakinumab, VIA-2291, and methotrexate, and will highlight the potential benefits majority hold in hindering atherosclerosis and cardiovascular disease progression. This holds especially true for individuals already on optimal medical therapy who continue to be at high risk for adverse cardiovascular events.
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Affiliation(s)
- Bibinaz Eghtedari
- From the The Lundquist Institute, Harbor-University of California-Los Angeles, Torrance, CA
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71
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Prediction of microvascular complications in diabetic patients without obstructive coronary stenosis based on peri-coronary adipose tissue attenuation model. Eur Radiol 2023; 33:2015-2026. [PMID: 36255489 DOI: 10.1007/s00330-022-09176-6] [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: 04/19/2022] [Revised: 07/29/2022] [Accepted: 09/18/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To investigate the predictive value of peri-coronary adipose tissue (PCAT) attenuation for microvascular complications in diabetic patients without significant stenosis and to develop a prediction model for early risk stratification. METHODS This study retrospectively included patients clinically identified for coronary computed tomography angiography (CCTA) and type 2 diabetes between January 2017 and December 2020. All patients were followed up for at least 1 year. The clinical data and CCTA-based imaging characteristics (including PCAT of major epicardial vessels, high-risk plaque features) were recorded. In the training cohort comprising of 579 patients, two models were developed: model 1 with the inclusion of clinical factors and model 2 incorporating clinical factors + RCAPCAT using multivariable logistic regression analysis. An internal validation cohort comprising 249 patients and an independent external validation cohort of 269 patients were used to validate the proposed models. RESULTS Microvascular complications occurred in 69.1% (758/1097) of the current cohort during follow-up. In the training cohort, model 2 exhibited improved predictive power over model 1 based on clinical factors (AUC = 0.820 versus 0.781, p = 0.003) with lower prediction error (Brier score = 0.146 versus 0.164) compared to model 1. Model 2 accurately categorized 78.58% of patients with diabetic microvascular complications. Similar performance of model 2 in the internal validation cohort and the external validation cohort was further confirmed. CONCLUSIONS The model incorporating clinical factors and RCAPCAT predicts the development of microvascular complications in diabetic patients without significant coronary stenosis. KEY POINTS • Hypertension, HbA1c, duration of diabetes, and RCAPCAT were independent risk factors for microvascular complications. • The prediction model integrating RCAPCAT exhibited improved predictive power over the model only based on clinical factors (AUC = 0.820 versus 0.781, p = 0.003) and showed lower prediction error (Brier score=0.146 versus 0.164).
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Michaud K, Jacobsen C, Basso C, Banner J, Blokker BM, de Boer HH, Dedouit F, O'Donnell C, Giordano C, Magnin V, Grabherr S, Suvarna SK, Wozniak K, Parsons S, van der Wal AC. Application of postmortem imaging modalities in cases of sudden death due to cardiovascular diseases-current achievements and limitations from a pathology perspective : Endorsed by the Association for European Cardiovascular Pathology and by the International Society of Forensic Radiology and Imaging. Virchows Arch 2023; 482:385-406. [PMID: 36565335 PMCID: PMC9931788 DOI: 10.1007/s00428-022-03458-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/11/2022] [Accepted: 11/15/2022] [Indexed: 12/25/2022]
Abstract
Postmortem imaging (PMI) is increasingly used in postmortem practice and is considered a potential alternative to a conventional autopsy, particularly in case of sudden cardiac deaths (SCD). In 2017, the Association for European Cardiovascular Pathology (AECVP) published guidelines on how to perform an autopsy in such cases, which is still considered the gold standard, but the diagnostic value of PMI herein was not analyzed in detail. At present, significant progress has been made in the PMI diagnosis of acute ischemic heart disease, the most important cause of SCD, while the introduction of postmortem CT angiography (PMCTA) has improved the visualization of several parameters of coronary artery pathology that can support a diagnosis of SCD. Postmortem magnetic resonance (PMMR) allows the detection of acute myocardial injury-related edema. However, PMI has limitations when compared to clinical imaging, which severely impacts the postmortem diagnosis of myocardial injuries (ischemic versus non-ischemic), the age-dating of coronary occlusion (acute versus old), other potentially SCD-related cardiac lesions (e.g., the distinctive morphologies of cardiomyopathies), aortic diseases underlying dissection or rupture, or pulmonary embolism. In these instances, PMI cannot replace a histopathological examination for a final diagnosis. Emerging minimally invasive techniques at PMI such as image-guided biopsies of the myocardium or the aorta, provide promising results that warrant further investigations. The rapid developments in the field of postmortem imaging imply that the diagnosis of sudden death due to cardiovascular diseases will soon require detailed knowledge of both postmortem radiology and of pathology.
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Affiliation(s)
- Katarzyna Michaud
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
| | - Christina Jacobsen
- Section of Forensic Pathology, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Cristina Basso
- Cardiovascular Pathology Unit, Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Jytte Banner
- Section of Forensic Pathology, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Hans H de Boer
- Department of Forensic Medicine, Victorian Institute of Forensic Medicine, Monash University, Melbourne, Australia
| | - Fabrice Dedouit
- GRAVIT, Groupe de Recherche en Autopsie Virtuelle et Imagerie Thanatologique, Forensic Department, University Hospital, Rangueil, Toulouse, France
| | - Chris O'Donnell
- Department of Forensic Medicine, Victorian Institute of Forensic Medicine, Monash University, Melbourne, Australia
| | - Carla Giordano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Virginie Magnin
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Silke Grabherr
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - S Kim Suvarna
- Department of Histopathology, Northern General Hospital, The University of Sheffield, Sheffield, UK
| | - Krzysztof Wozniak
- Department of Forensic Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Sarah Parsons
- Department of Forensic Medicine, Victorian Institute of Forensic Medicine, Monash University, Melbourne, Australia
| | - Allard C van der Wal
- Department of Pathology, Amsterdam UMC, Academic Medical Center, Amsterdam, The Netherlands.
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Tsugu T, Tanaka K, Nagatomo Y, Belsack D, Argacha JF, Cosyns B, De Maeseneer M, De Mey J. Impact of ramus coronary artery on computed tomography derived fractional flow reserve (FFR CT ) in no apparent coronary artery disease. Echocardiography 2023; 40:103-112. [PMID: 36607158 DOI: 10.1111/echo.15526] [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: 09/09/2022] [Revised: 12/07/2022] [Accepted: 12/21/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The ramus artery contributes to the development of turbulence, which may influence computed tomography (CT) derived fractional flow reserve (FFRCT ) even without coronary artery disease (CAD). The relationship between ramus-induced turbulence and FFRCT is unclear. METHOD AND RESULTS A total of 120 patients with <20% coronary stenosis assessed by both FFRCT and invasive coronary angiography were evaluated. The patients were divided into three groups: absent-ramus (n = 72), small-ramus that could not be analyzed by FFRCT (n = 18), and large-ramus that could be analyzed by FFRCT (n = 30). FFRCT measurements were performed at the proximal and distal segments of the left anterior descending (LAD), left circumflex (LCX), and ramus artery. With absent-ramus and small-absent ramus groups, FFRCT was measured at the distal end of the left main trunk at the same level for the proximal segments of the LAD and LCX. In absent-ramus group, proximal FFRCT showed no significant differences between three vessels (LAD = .96 ± .02; MID = .97 ± .02; LCX = .97 ± .02). However, in small and large-ramus groups, proximal FFRCT was significantly higher in the ramus artery than LAD and LCX (small-ramus, LAD = .95 ± .03, Ramus = .97 ± .02, LCX = .95 ± .03; large-ramus: LAD = .95 ± .03, Ramus = .98 ± .01; LCX = .96 ± .03; p < .05). A large ramus was associated with a higher prevalence of a distal FFRCT ≤.80 (odds ratio 7.0, 95% CI 1.2-40.1, p = .03). A proximal ramus diameter predicted distal FFRCT ≤.80 (cut-off 2.1 mm, AUC .76, sensitivity 100%, specificity 52%, 95% CI .61-.90). CONCLUSIONS The presence of a large-ramus artery may cause an FFRCT decline in no apparent CAD.
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Affiliation(s)
- Toshimitsu Tsugu
- Department of Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Kaoru Tanaka
- Department of Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Yuji Nagatomo
- Department of Cardiology, National Defense Medical College Hospital, Tokorozawa, Japan
| | - Dries Belsack
- Department of Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jean-François Argacha
- Cardiology, Centrum voor Hart- en Vaatziekten, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Bernard Cosyns
- Cardiology, Centrum voor Hart- en Vaatziekten, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | | | - Johan De Mey
- Department of Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium
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Kumar P, Arendt C, Martin S, Al Soufi S, DeLeuw P, Nagel E, Puntmann VO. Multimodality Imaging in HIV-Associated Cardiovascular Complications: A Comprehensive Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2201. [PMID: 36767567 PMCID: PMC9915416 DOI: 10.3390/ijerph20032201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/17/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
Human immunodeficiency virus (HIV) infection is a leading cause of mortality and morbidity worldwide. The introduction of antiretroviral therapy (ART) has significantly reduced the risk of developing acquired immune deficiency syndrome and increased life expectancy, approaching that of the general population. However, people living with HIV have a substantially increased risk of cardiovascular diseases despite long-term viral suppression using ART. HIV-associated cardiovascular complications encompass a broad spectrum of diseases that involve the myocardium, pericardium, coronary arteries, valves, and systemic and pulmonary vasculature. Traditional risk stratification tools do not accurately predict cardiovascular risk in this population. Multimodality imaging plays an essential role in the evaluation of various HIV-related cardiovascular complications. Here, we emphasize the role of multimodality imaging in establishing the diagnosis and aetiopathogenesis of various cardiovascular manifestations related to chronic HIV disease. This review also provides a critical appraisal of contemporary data and illustrative cases.
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Affiliation(s)
- Parveen Kumar
- Institute of Experimental and Translational Cardiac Imaging, DZHK, Centre for Cardiovascular Imaging, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany
| | - Christophe Arendt
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany
| | - Simon Martin
- Institute of Experimental and Translational Cardiac Imaging, DZHK, Centre for Cardiovascular Imaging, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany
| | - Safaa Al Soufi
- Institute of Experimental and Translational Cardiac Imaging, DZHK, Centre for Cardiovascular Imaging, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany
| | | | - Eike Nagel
- Institute of Experimental and Translational Cardiac Imaging, DZHK, Centre for Cardiovascular Imaging, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany
| | - Valentina O. Puntmann
- Institute of Experimental and Translational Cardiac Imaging, DZHK, Centre for Cardiovascular Imaging, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany
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Zanni MV, Foldyna B, McCallum S, Burdo TH, Looby SE, Fitch KV, Fulda ES, Autissier P, Bloomfield GS, Malvestutto CD, Fichtenbaum CJ, Overton ET, Aberg JA, Erlandson KM, Campbell TB, Ellsworth GB, Sheth AN, Taiwo B, Currier JS, Hoffmann U, Lu MT, Douglas PS, Ribaudo HJ, Grinspoon SK. Sex Differences in Subclinical Atherosclerosis and Systemic Immune Activation/Inflammation Among People With Human Immunodeficiency Virus in the United States. Clin Infect Dis 2023; 76:323-334. [PMID: 36101518 PMCID: PMC9839188 DOI: 10.1093/cid/ciac767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/26/2022] [Accepted: 09/12/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Among people with HIV (PWH), sex differences in presentations of atherosclerotic cardiovascular disease (ASCVD) may be influenced by differences in coronary plaque parameters, immune/inflammatory biomarkers, or relationships therein. METHODS REPRIEVE, a primary ASCVD prevention trial, enrolled antiretroviral therapy (ART)-treated PWH. At entry, a subset of US participants underwent coronary computed tomography angiography (CTA) and immune phenotyping (n = 755 CTA; n = 725 CTA + immune). We characterized sex differences in coronary plaque and immune/inflammatory biomarkers and compared immune-plaque relationships by sex. Unless noted otherwise, analyses adjust for ASCVD risk score. RESULTS The primary analysis cohort included 631 males and 124 females. ASCVD risk was higher among males (median: 4.9% vs 2.1%), while obesity rates were higher among females (48% vs 21%). Prevalence of any plaque and of plaque with either ≥1 visible noncalcified portion or vulnerable features (NC/V-P) was lower among females overall and controlling for relevant risk factors (RR [95% CI] for any plaque: .67 [.50, .92]; RR for NC/V-P: .71 [.51, 1.00] [adjusted for ASCVD risk score and body mass index]). Females showed higher levels of IL-6, hs-CRP, and D-dimer and lower levels of Lp-PLA2 (P < .001 for all). Higher levels of Lp-PLA2, MCP-1, and oxLDL were associated with higher plaque (P < .02) and NC/V-P prevalence, with no differences by sex. Among females but not males, D-dimer was associated with higher prevalence of NC/V-P (interaction P = .055). CONCLUSIONS Among US PWH, females had a lower prevalence of plaque and NC/V-P, as well as differences in key immune/inflammatory biomarkers. Immune-plaque relationships differed by sex for D-dimer but not other tested parameters. Clinical Trial Registration. ClinicalTrials.gov; identifier: NCT0234429 (date of initial registration: 22 January 2015).
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Affiliation(s)
- Markella V Zanni
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Borek Foldyna
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Sara McCallum
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Tricia H Burdo
- Department of Microbiology, Immunology, and Inflammation and Center for NeuroVirology and Gene Editing, Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania, USA
| | - Sara E Looby
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Yvonne L. Munn Center for Nursing Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kathleen V Fitch
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Evelynne S Fulda
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Patrick Autissier
- Department of Biology , Boston College, Chestnut Hill, Massachusetts, USA
| | - Gerald S Bloomfield
- Department of Medicine, Duke Global Health Institute and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Carlos D Malvestutto
- Division of Infectious Diseases, Ohio State University Medical Center, Columbus, Ohio, USA
| | - Carl J Fichtenbaum
- Division of Infectious Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Edgar T Overton
- Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
| | - Judith A Aberg
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kristine M Erlandson
- Department of Medicine, Division of Infectious Disease, University of Colorado—Anschutz Medical Campus, Aurora, Colorado, USA
| | - Thomas B Campbell
- Department of Medicine, Division of Infectious Disease, University of Colorado—Anschutz Medical Campus, Aurora, Colorado, USA
| | - Grant B Ellsworth
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, New York, USA
| | - Anandi N Sheth
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Babafemi Taiwo
- Division of Infectious Diseases and Center for Global Health, Northwestern University, Chicago, Illinois, USA
| | - Judith S Currier
- Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Udo Hoffmann
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michael T Lu
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Pamela S Douglas
- Duke University Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Heather J Ribaudo
- Center for Biostatistics in AIDS Research, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Ramasamy A, Hamid A Khan A, Cooper J, Simon J, Maurovich-Horvat P, Bajaj R, Kitslaar P, Amersey R, Jain A, Deaner A, Reiber JH, Moon JC, Dijkstra J, Serruys PW, Mathur A, Baumbach A, Torii R, Pugliese F, Bourantas CV. Implications of computed tomography reconstruction algorithms on coronary atheroma quantification: Comparison with intravascular ultrasound. J Cardiovasc Comput Tomogr 2023; 17:43-51. [PMID: 36270952 DOI: 10.1016/j.jcct.2022.09.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 09/03/2022] [Accepted: 09/17/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Advances in coronary computed tomography angiography (CCTA) reconstruction algorithms are expected to enhance the accuracy of CCTA plaque quantification. We aim to evaluate different CCTA reconstruction approaches in assessing vessel characteristics in coronary atheroma using intravascular ultrasound (IVUS) as the reference standard. METHODS Matched cross-sections (n = 7241) from 50 vessels in 15 participants with chronic coronary syndrome who prospectively underwent CCTA and 3-vessel near-infrared spectroscopy-IVUS were included. Twelve CCTA datasets per patient were reconstructed using two different kernels, two slice thicknesses (0.75 mm and 0.50 mm) and three different strengths of advanced model-based iterative reconstruction (IR) algorithms. Lumen and vessel wall borders were manually annotated in every IVUS and CCTA cross-section which were co-registered using dedicated software. Image quality was sub-optimal in the reconstructions with a sharper kernel, so these were excluded. Intraclass correlation coefficient (ICC) and repeatability coefficient (RC) were used to compare the estimations of the 6 CT reconstruction approaches with those derived by IVUS. RESULTS Segment-level analysis showed good agreement between CCTA and IVUS for assessing atheroma volume with approach 0.50/5 (slice thickness 0.50 mm and highest strength 5 ADMIRE IR) being the best (total atheroma volume ICC: 0.91, RC: 0.67, p < 0.001 and percentage atheroma volume ICC: 0.64, RC: 14.06, p < 0.001). At lesion-level, there was no difference between the CCTA reconstructions for detecting plaques (accuracy range: 0.64-0.67; p = 0.23); however, approach 0.50/5 was superior in assessing IVUS-derived lesion characteristics associated with plaque vulnerability (minimum lumen area ICC: 0.64, RC: 1.31, p < 0.001 and plaque burden ICC: 0.45, RC: 32.0, p < 0.001). CONCLUSION CCTA reconstruction with thinner slice thickness, smooth kernel and highest strength advanced IR enabled more accurate quantification of the lumen and plaque at a segment-, and lesion-level analysis in coronary atheroma when validated against intravascular ultrasound. CLINICALTRIALS gov (NCT03556644).
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Affiliation(s)
- Anantharaman Ramasamy
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Ameer Hamid A Khan
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Jackie Cooper
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Retesh Bajaj
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Pieter Kitslaar
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Medis Medical Imaging, Leiden, the Netherlands
| | - Rajiv Amersey
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Ajay Jain
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Andrew Deaner
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Johan Hc Reiber
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Medis Medical Imaging, Leiden, the Netherlands
| | - James C Moon
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Institute of Cardiovascular Sciences, University College London, London, UK
| | - Jouke Dijkstra
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Patrick W Serruys
- Faculty of Medicine, National Heart & Lung Institute, Imperial College London, UK; Department of Cardiology, National University of Ireland, Galway, Ireland
| | - Anthony Mathur
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Andreas Baumbach
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Ryo Torii
- Department of Mechanical Engineering, University College London, London, UK
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK
| | - Christos V Bourantas
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University London, UK; Institute of Cardiovascular Sciences, University College London, London, UK.
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Berg AR, Petrole RF, Li H, Sorokin AV, Gonzalez-Cantero A, Playford MP, Mehta NN, Teague HL. Cholesterol efflux capacity is associated with lipoprotein size and vascular health in mild to moderate psoriasis. Front Cardiovasc Med 2023; 10:1041457. [PMID: 36891247 PMCID: PMC9986595 DOI: 10.3389/fcvm.2023.1041457] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 01/24/2023] [Indexed: 02/22/2023] Open
Abstract
Background and objective Psoriasis is a systemic inflammatory condition with poor cholesterol transport measured by cholesterol efflux capacity (CEC) that is associated with a heightened risk of cardiovascular disease (CVD). In psoriasis patients, we sought to characterize the lipoprotein profile by size using a novel nuclear magnetic resonance algorithm in patients with low CEC compared to normal CEC. Methods Lipoprotein profile was assessed using the novel nuclear magnetic resonance LipoProfile-4 deconvolution algorithm. Aortic vascular inflammation (VI) and non-calcified burden (NCB) were characterized via positron emission tomography-computed tomography and coronary computed tomography angiography. To understand the relationship between lipoprotein size and markers of subclinical atherosclerosis, linear regression models controlling for confounders were constructed. Results Psoriasis patients with low CEC had higher more severe psoriasis (p = 0.04), VI (p = 0.04) and NCB (p = 0.001), concomitant with smaller high-density lipoprotein (HDL) (p < 0.001) and low-density lipoprotein (LDL) particles (p < 0.001). In adjusted models HDL size (β = -0.19; p = 0.02) and LDL size (β = -0.31; p < 0.001) associated with VI and NCB. Lastly, HDL size strongly associated with LDL size in fully adjusted models (β = -0.27; p < 0.001). Conclusion These findings demonstrate that in psoriasis, low CEC associates with a lipoprotein profile comprised of smaller HDL and LDL particles which correlates with vascular health and may be driving early onset atherogenesis. Further, these results demonstrate a relationship between HDL and LDL size and provide novel insights into the complexities of HDL and LDL as biomarkers of vascular health.
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Affiliation(s)
- Alexander R Berg
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, United States
| | - Rylee F Petrole
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, United States
| | - Haiou Li
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, United States
| | | | - Alvaro Gonzalez-Cantero
- Dermatology Service, Hospital Universitario Ramón y Cajal, Medicine Department, Faculty of Medicine, Universidad de Alcalá, IRYCIS, Madrid, Spain.,Faculty of Medicine, Universidad Francisco de Vitoria, Pozuelo de Alarcón, Madrid, Spain
| | - Martin P Playford
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, United States
| | - Nehal N Mehta
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, United States
| | - Heather L Teague
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, United States
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Prevalence of low-attenuation plaques and statin therapy in plaque rupture type of acute coronary syndrome. Coron Artery Dis 2023; 34:11-17. [PMID: 36484215 DOI: 10.1097/mca.0000000000001203] [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] [Indexed: 12/13/2022]
Abstract
BACKGROUND We sought to investigate the differences in coronary plaque morphology on coronary computed tomography angiography (CCTA) and medical therapy between acute coronary syndrome (ACS) and stable ischemic heart disease (SIHD). We also explored the relationship between plaque morphology on CCTA at the initial phase and lesion morphology in the acute phase of ACS. METHODS In 5967 patients who underwent invasive coronary angiography, 58 ACS and 91 SIHD patients who had prior CCTA imaging of the culprit lesion and denied ischemic heart disease at CCTA scanning were enrolled. RESULTS Although the prevalence of positive remodeling was not different (P = 0.27), low-attenuation plaques (LAP) on prior CCTA were significantly higher in ACS than in SIHD (52% vs. 24%, P < 0.01). The frequency of coronary stenosis grading did not differ between the two groups (P = 0.14). In ACS patients, the frequencies of plaque rupture and lipid-rich plaque assessed by optical coherence tomography (OCT) were significantly higher in LAP than in non-LAP (73% vs. 23%, P < 0.01; 82% and 23%, P < 0.01). Multivariate regression analysis revealed that statin use and LAP on prior CCTA were predictors of future ACS events (P < 0.01, and P < 0.05, respectively). CONCLUSIONS LAP on CCTA, not positive arterial remodeling, and lack of statin therapy were associated with ACS development. In addition, LAP more frequently led to the development of the plaque rupture type of ACS compared with non-LAP. Lipid-lowering therapy with statins might be useful to prevent plaque rupture in patients with LAP regardless of coronary stenosis.
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79
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Tsugu T, Tanaka K, Nagatomo Y, Belsack D, Devos H, Buls N, Cosyns B, Argacha JF, De Maeseneer M, De Mey J. Impact of coronary bifurcation angle on computed tomography derived fractional flow reserve in coronary vessels with no apparent coronary artery disease. Eur Radiol 2023; 33:1277-1285. [PMID: 36114847 PMCID: PMC9889442 DOI: 10.1007/s00330-022-09125-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/04/2022] [Accepted: 08/19/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVES Computed tomography (CT) derived fractional flow reserve (FFRCT) decreases from the proximal to the distal part due to a variety of factors. The energy loss due to the bifurcation angle may potentially contribute to a progressive decline in FFRCT. However, the association of the bifurcation angle with FFRCT is still not entirely understood. This study aimed to investigate the impact of various bifurcation angles on FFRCT decline below the clinically crucial relevance of 0.80 in vessels with no apparent coronary artery disease (CAD). METHODS A total of 83 patients who underwent both CT angiography including FFRCT and invasive coronary angiography, exhibiting no apparent CAD were evaluated. ΔFFRCT was defined as the change in FFRCT from the proximal to the distal in the left anterior descending artery (LAD) and left circumflex artery (LCX). The bifurcation angle was calculated from three-dimensional volume rendered images. Vessel morphology and plaque characteristics were also assessed. RESULTS ΔFFRCT significantly correlated with the bifurcation angle (LAD angle, r = 0.35, p = 0.001; LCX angle, r = 0.26, p = 0.02) and vessel length (LAD angle, r = 0.30, p = 0.005; LCX angle, r = 0.49, p < 0.0001). In LAD, vessel length was the strongest predictor for distal FFRCT of ≤ 0.80 (β-coefficient = 0.55, p = 0.0003), immediately followed by the bifurcation angle (β-coefficient = 0.24, p = 0.02). The bifurcation angle was a good predictor for a distal FFRCT ≤ 0.80 (LAD angle, cut-off 31.0°, AUC 0.70, sensitivity 74%, specificity 68%; LCX angle, cut-off 52.6°, AUC 0.86, sensitivity 88%, specificity 85%). CONCLUSIONS In vessels with no apparent CAD, vessel length was the most influential factor on FFRCT, directly followed by the bifurcation angle. KEY POINTS • Both LAD and LCX bifurcation angles are factors influencing FFR CT. • Bifurcation angle is one of the predictors of a distal FFRCT of ≤ 0.80 and an optimal cut-off value of 31.0° for the LAD and 52.6° for the LCX. • Bifurcation angle should be taken into consideration when interpreting numerical values of FFRCT.
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Affiliation(s)
- Toshimitsu Tsugu
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Brussels, Belgium
| | - Kaoru Tanaka
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Brussels, Belgium
| | - Yuji Nagatomo
- Department of Cardiology, National Defense Medical College Hospital, Tokorozawa, Japan
| | - Dries Belsack
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Brussels, Belgium
| | - Hannes Devos
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Brussels, Belgium
| | - Nico Buls
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Brussels, Belgium
| | - Bernard Cosyns
- Cardiology, Centrum voor Hart-en Vaatziekten, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jean-François Argacha
- Cardiology, Centrum voor Hart-en Vaatziekten, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Michel De Maeseneer
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Brussels, Belgium
| | - Johan De Mey
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Jette, Brussels, Belgium
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Alexopoulos N, Raggi P. The importance of targeting epicardial adipose tissue to improve cardiovascular outcomes in diabetes mellitus. Atherosclerosis 2022; 363:69-70. [PMID: 36424296 DOI: 10.1016/j.atherosclerosis.2022.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 11/11/2022]
Affiliation(s)
| | - Paolo Raggi
- Department of Medicine and Division of Cardiology, University of Alberta, Edmonton, AB, Canada.
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81
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Figtree GA, Adamson PD, Antoniades C, Blumenthal RS, Blaha M, Budoff M, Celermajer DS, Chan MY, Chow CK, Dey D, Dwivedi G, Giannotti N, Grieve SM, Hamilton-Craig C, Kingwell BA, Kovacic JC, Min JK, Newby DE, Patel S, Peter K, Psaltis PJ, Vernon ST, Wong DT, Nicholls SJ. Noninvasive Plaque Imaging to Accelerate Coronary Artery Disease Drug Development. Circulation 2022; 146:1712-1727. [PMID: 36441819 DOI: 10.1161/circulationaha.122.060308] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022]
Abstract
Coronary artery disease (CAD) remains the leading cause of adult mortality globally. Targeting known modifiable risk factors has had substantial benefit, but there remains a need for new approaches. Improvements in invasive and noninvasive imaging techniques have enabled an increasing recognition of distinct quantitative phenotypes of coronary atherosclerosis that are prognostically relevant. There are marked differences in plaque phenotype, from the high-risk, lipid-rich, thin-capped atheroma to the low-risk, quiescent, eccentric, nonobstructive calcified plaque. Such distinct phenotypes reflect different pathophysiologic pathways and are associated with different risks for acute ischemic events. Noninvasive coronary imaging techniques, such as computed tomography, positron emission tomography, and coronary magnetic resonance imaging, have major potential to accelerate cardiovascular drug development, which has been affected by the high costs and protracted timelines of cardiovascular outcome trials. This may be achieved through enrichment of high-risk phenotypes with higher event rates or as primary end points of drug efficacy, at least in phase 2 trials, in a manner historically performed through intravascular coronary imaging studies. Herein, we provide a comprehensive review of the current technology available and its application in clinical trials, including implications for sample size requirements, as well as potential limitations. In its effort to accelerate drug development, the US Food and Drug Administration has approved surrogate end points for 120 conditions, but not for CAD. There are robust data showing the beneficial effects of drugs, including statins, on CAD progression and plaque stabilization in a manner that correlates with established clinical end points of mortality and major adverse cardiovascular events. This, together with a clear mechanistic rationale for using imaging as a surrogate CAD end point, makes it timely for CAD imaging end points to be considered. We discuss the importance of global consensus on these imaging end points and protocols and partnership with regulatory bodies to build a more informed, sustainable staged pathway for novel therapies.
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Affiliation(s)
- Gemma A Figtree
- Kolling Institute of Medical Research, Sydney, Australia (G.A.F., S.T.V.)
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Australia (G.A.F., S.T.V.)
- Charles Perkins Centre (G.A.F., C.K.C.), University of Sydney, Australia
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
| | - Philip D Adamson
- Christchurch Heart Institute, University of Otago Christchurch, New Zealand (P.D.A.)
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (P.D.A., D.E.N.)
| | - Charalambos Antoniades
- Acute Vascular Imaging Centre (C.A.), Radcliffe Department of Medicine, University of Oxford, UK
- Division of Cardiovascular Medicine (C.A.), Radcliffe Department of Medicine, University of Oxford, UK
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD (R.S.B., M. Blaha)
| | - Michael Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD (R.S.B., M. Blaha)
| | | | - David S Celermajer
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
- Departments of Cardiology (D.S.C., S.P.), Royal Prince Alfred Hospital, Sydney, Australia
| | - Mark Y Chan
- Department of Cardiology, National University Heart Centre, Singapore (M.Y.C.)
| | - Clara K Chow
- Westmead Applied Research Centre (C.K.C.), University of Sydney, Australia
- Charles Perkins Centre (G.A.F., C.K.C.), University of Sydney, Australia
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA (D.D.)
| | - Girish Dwivedi
- Harry Perkins Institute of Medical Research, University of Western Australia (G.D.)
- Department of Cardiology, Fiona Stanley Hospital, Perth, Australia (G.D.)
| | - Nicola Giannotti
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
| | - Stuart M Grieve
- Imaging and Phenotyping Laboratory (S.M.G.), University of Sydney, Australia
- Radiology (S.M.G.), Royal Prince Alfred Hospital, Sydney, Australia
| | - Christian Hamilton-Craig
- Faculty of Medicine and Centre for Advanced Imaging, University of Queensland and School of Medicine, Griffith University Sunshine Coast, Australia (C.H.-C.)
| | | | - Jason C Kovacic
- Victor Chang Cardiac Research Institute, Darlinghurst, Australia (J.C.K.)
- St Vincent's Clinical School, University of NSW, Australia (J.C.K.)
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY (J.C.K.)
| | | | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (P.D.A., D.E.N.)
| | - Sanjay Patel
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
- Departments of Cardiology (D.S.C., S.P.), Royal Prince Alfred Hospital, Sydney, Australia
| | - Karlheinz Peter
- Baker Heart and Diabetes Institute, Melbourne, Australia (K.P.)
- Department of Cardiology, The Alfred Hospital, Melbourne, Australia (K.P.)
| | - Peter J Psaltis
- Lifelong Health, South Australian Health and Medical Research Institute, Adelaide (P.J.P.)
- Department of Cardiology, Royal Adelaide Hospital, Australia (P.J.P.)
| | - Stephen T Vernon
- Kolling Institute of Medical Research, Sydney, Australia (G.A.F., S.T.V.)
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Australia (G.A.F., S.T.V.)
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
| | - Dennis T Wong
- Monash Heart, Clayton, Australia (D.T.W., S.J.N.)
- Victorian Heart Institute, Monash University, Melbourne, Australia (D.T.W., S.J.N.)
| | - Stephen J Nicholls
- Monash Heart, Clayton, Australia (D.T.W., S.J.N.)
- Victorian Heart Institute, Monash University, Melbourne, Australia (D.T.W., S.J.N.)
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Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI). JACC Cardiovasc Imaging 2022; 15:1974-2001. [PMID: 36115815 DOI: 10.1016/j.jcmg.2022.07.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/10/2022] [Accepted: 07/02/2022] [Indexed: 12/14/2022]
Abstract
Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to standardize reporting system for patients undergoing coronary CT angiography (CCTA) and to guide possible next steps in patient management. The goal of this updated 2022 CAD-RADS 2.0 is to improve the initial reporting system for CCTA by considering new technical developments in cardiac CT, including data from recent clinical trials and new clinical guidelines. The updated CAD-RADS classification will follow an established framework of stenosis, plaque burden, and modifiers, which will include assessment of lesion-specific ischemia using CT fractional-flow-reserve (CT-FFR) or myocardial CT perfusion (CTP), when performed. Similar to the method used in the original CAD-RADS version, the determinant for stenosis severity classification will be the most severe coronary artery luminal stenosis on a per-patient basis, ranging from CAD-RADS 0 (zero) for absence of any plaque or stenosis to CAD-RADS 5 indicating the presence of at least one totally occluded coronary artery. Given the increasing data supporting the prognostic relevance of coronary plaque burden, this document will provide various methods to estimate and report total plaque burden. The addition of P1 to P4 descriptors are used to denote increasing categories of plaque burden. The main goal of CAD-RADS, which should always be interpreted together with the impression found in the report, remains to facilitate communication of test results with referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving patient care.
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Affiliation(s)
- Ricardo C Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, Florida, USA.
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology, Erlangen, Germany
| | - Daniel Berman
- Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Marcio Bittencourt
- Division of Cardiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew Budoff
- David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | | | - Andrew D Choi
- The George Washington University School of Medicine, Washington, DC, USA
| | - Brian Ghoshhajra
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jill Jacobs
- NYU Langone Medical Center, New York, New York, USA
| | - Lynne Koweek
- Department of Radiology, Duke University, Durham, North Carolina, USA
| | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, Minneapolis, Minnesota, USA
| | | | - Geoffrey D Rubin
- Department of Medical Imaging, University of Arizona, Tucson, Arizona, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Eric Williamson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Todd C Villines
- Division of Cardiology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
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Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. CAD-RADS™ 2.0 - 2022 Coronary Artery Disease - Reporting and Data System.: An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI). J Am Coll Radiol 2022; 19:1185-1212. [PMID: 36436841 DOI: 10.1016/j.jacr.2022.09.012] [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] [Indexed: 11/27/2022]
Abstract
Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to standardize reporting system for patients undergoing coronary CT angiography (CCTA) and to guide possible next steps in patient management. The goal of this updated 2022 CAD-RADS 2.0 is to improve the initial reporting system for CCTA by considering new technical developments in Cardiac CT, including data from recent clinical trials and new clinical guidelines. The updated CAD-RADS classification will follow an established framework of stenosis, plaque burden, and modifiers, which will include assessment of lesion-specific ischemia using CT fractional-flow-reserve (CT-FFR) or myocardial CT perfusion (CTP), when performed. Similar to the method used in the original CAD-RADS version, the determinant for stenosis severity classification will be the most severe coronary artery luminal stenosis on a per-patient basis, ranging from CAD-RADS 0 (zero) for absence of any plaque or stenosis to CAD-RADS 5 indicating the presence of at least one totally occluded coronary artery. Given the increasing data supporting the prognostic relevance of coronary plaque burden, this document will provide various methods to estimate and report total plaque burden. The addition of P1 to P4 descriptors are used to denote increasing categories of plaque burden. The main goal of CAD-RADS, which should always be interpreted together with the impression found in the report, remains to facilitate communication of test results with referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving patient care.
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Affiliation(s)
- Ricardo C Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, 8900 N Kendall Drive, Miami FL, 33176, USA.
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology, Erlangen, Germany
| | | | | | - Matthew Budoff
- David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | - Andrew D Choi
- The George Washington University School of Medicine, Washington, DC, USA
| | - Brian Ghoshhajra
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill Jacobs
- NYU Langone Medical Center, New York, NY, USA
| | - Lynne Koweek
- Department of Radiology, Duke University, Durham, NC, USA
| | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, Minneapolis, MN, USA
| | | | - Geoffrey D Rubin
- Department of Medical Imaging, University of Arizona, Tucson, AZ, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - Todd C Villines
- Division of Cardiology, University of Virginia Health System, Charlottesville, VA, USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Meah MN, Tzolos E, Wang KL, Bularga A, Dweck MR, Curzen N, Kardos A, Keating L, Storey RF, Mills NL, Slomka PJ, Dey D, Newby DE, Gray A, Williams MC, Roobottom C. Plaque Burden and 1-Year Outcomes in Acute Chest Pain: Results From the Multicenter RAPID-CTCA Trial. JACC Cardiovasc Imaging 2022; 15:1916-1925. [PMID: 36357133 DOI: 10.1016/j.jcmg.2022.04.024] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/25/2022] [Accepted: 04/29/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND In patients with stable chest pain, computed tomography (CT) plaque burden is an independent predictor of future coronary events. OBJECTIVES The purpose of this study was to determine whether plaque burden and characteristics can predict subsequent death or myocardial infarction in patients with acute chest pain. METHODS In a post hoc analysis of a multicenter trial of early coronary CT angiography, the authors performed quantitative plaque analysis to assess the association between primary endpoint of 1-year all-cause death or nonfatal myocardial infarction and the GRACE (Global Registry of Acute Coronary Events) score, presence of obstructive coronary artery disease, and plaque burden in 404 patients with suspected acute coronary syndrome. RESULTS Following the index event, 25 patients had a primary event that was associated with a higher GRACE score (134 ± 44 vs 113 ± 35; P = 0.012), larger burdens of total (46% [IQR: 43%-50%] vs 36% [IQR: 21%-46%]; P < 0.001), noncalcified (41% [IQR: 37%-%47] vs 33% [IQR: 20%-41%]; P < 0.001), and low-attenuation plaque (4.22% [IQR: 3.3%-5.68%] vs 2.14% [IQR: 0.5%-4.88%]; P < 0.001), but not obstructive coronary artery disease (P = 0.065). Total, noncalcified, and low-attenuation plaque burden were the strongest predictors of future events independent of GRACE score and obstructive coronary artery disease (P ≤ 0.002 for all). Patients with a low-attenuation burden above the median had nearly an 8-fold increased risk of the primary endpoint (HR: 7.80 [95% CI: 2.33-26.0]; P < 0.001), outperforming either a GRACE score of >140 (HR: 3.80 [95% CI :1.45-6.98]; P = 0.004) or obstructive coronary artery disease (HR: 2.07 [95% CI: 0.94-4.53]; P = 0.07). CONCLUSIONS In patients with suspected acute coronary syndrome, low-attenuation plaque burden is a major predictor of 1-year death or recurrent myocardial infarction. (Rapid Assessment of Potential Ischaemic Heart Disease With CTCA [RAPID-CTCA]; NCT02284191).
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Affiliation(s)
- Mohammed N Meah
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
| | - Evangelos Tzolos
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Kang-Ling Wang
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Anda Bularga
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Marc R Dweck
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Nick Curzen
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom; University Hospital Southampton, Southampton, United Kingdom
| | - Attila Kardos
- Department of Cardiology Milton Keynes University Hospital, School of Sciences and Medicine, University of Buckingham, Buckingham, United Kingdom
| | - Liza Keating
- Royal Berkshire NHS Foundation Trust, Reading, United Kingdom
| | | | - Nicholas L Mills
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Piotr J Slomka
- Departments of Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Damini Dey
- Departments of Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - David E Newby
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, Queen's Medical Research Institute University of Edinburgh, Edinburgh, United Kingdom
| | - Alasdair Gray
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Michelle C Williams
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, Queen's Medical Research Institute University of Edinburgh, Edinburgh, United Kingdom
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85
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Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr 2022; 16:536-557. [PMID: 35864070 DOI: 10.1016/j.jcct.2022.07.002] [Citation(s) in RCA: 74] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/10/2022] [Accepted: 07/02/2022] [Indexed: 12/14/2022]
Abstract
Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to standardize reporting system for patients undergoing coronary CT angiography (CCTA) and to guide possible next steps in patient management. The goal of this updated 2022 CAD-RADS 2.0 is to improve the initial reporting system for CCTA by considering new technical developments in Cardiac CT, including data from recent clinical trials and new clinical guidelines. The updated CAD-RADS classification will follow an established framework of stenosis, plaque burden, and modifiers, which will include assessment of lesion-specific ischemia using CT fractional-flow-reserve (CT-FFR) or myocardial CT perfusion (CTP), when performed. Similar to the method used in the original CAD-RADS version, the determinant for stenosis severity classification will be the most severe coronary artery luminal stenosis on a per-patient basis, ranging from CAD-RADS 0 (zero) for absence of any plaque or stenosis to CAD-RADS 5 indicating the presence of at least one totally occluded coronary artery. Given the increasing data supporting the prognostic relevance of coronary plaque burden, this document will provide various methods to estimate and report total plaque burden. The addition of P1 to P4 descriptors are used to denote increasing categories of plaque burden. The main goal of CAD-RADS, which should always be interpreted together with the impression found in the report, remains to facilitate communication of test results with referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving patient care.
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Affiliation(s)
- Ricardo C Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami FL, USA.
| | - Jonathon Leipsic
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology, Erlangen, Germany
| | | | | | - Matthew Budoff
- David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | - Andrew D Choi
- The George Washington University School of Medicine, Washington, DC, USA
| | - Brian Ghoshhajra
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill Jacobs
- NYU Langone Medical Center, New York, NY, USA
| | - Lynne Koweek
- Department of Radiology, Duke University, Durham, NC, USA
| | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, Minneapolis, MN, USA
| | | | - Geoffrey D Rubin
- Department of Medical Imaging, University of Arizona, Tucson, AZ, USA
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leslee J Shaw
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - Todd C Villines
- Division of Cardiology, University of Virginia Health System, Charlottesville, VA, USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Coronary bioresorbable stents: Non-invasive quantitative evaluation of intra- and juxta-stent plaque composition-A computed tomography longitudinal study. PLoS One 2022; 17:e0268456. [PMID: 36227938 PMCID: PMC9560491 DOI: 10.1371/journal.pone.0268456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 04/29/2022] [Indexed: 11/19/2022] Open
Abstract
PURPOSE Coronary bioresorbable stents (BRS) do not produce blooming artifacts on computed tomography (CT), in contrast to metallic stents, as they are made of a bioresorbable polymer and are radiolucent. They allow to evaluate the coronary plaque beneath. The low-attenuation plaque (LAP) suggests plaque vulnerability and is CT assessable. The aim of our study was to show the possibility of a non-invasive CT evaluation of the volume and the LAP composition of the intra- and juxta-stent plaque. METHODOLOGY In our prospective longitudinal study, we recruited 27 consecutive patients (35 BRS stents total; mean age 60 +/- 9 years) with bioresorbable stents for a 256-slice ECG-synchronized CT evaluation at 1- and 12-months post stent implantation. Total plaque volume (mm3), absolute and relative (%) LAP volume per block in the pre- intra- and post-stent zones were analyzed; comparison 1- and 12-months post-implantation of BRS. Changes in the previously mentioned variables were assessed by the mixed effects models with and without spline, which also accounted for the correlation between repeated measurements. RESULTS Our block or spline model analysis has shown no significant difference in plaque or absolute LAP volumes in pre- intra- and post-stent zones between 1 and 12 months. Interestingly, % LAP volume increases near-significantly in the distal block of the intrastent at 12-mo follow-up (from 23.38 ± 1.80% to 26.90 ± 2.22% (increase of 15%), p = 0.052). CONCLUSION Our study demonstrates the feasibility of the repeated non-invasive quantitative analysis of the intrastent coronary plaque and of the in-stent lumen by CT scan.
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87
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Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. CAD-RADS™ 2.0 - 2022 Coronary Artery Disease - Reporting and Data System An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI). Radiol Cardiothorac Imaging 2022; 4:e220183. [PMID: 36339062 PMCID: PMC9627235 DOI: 10.1148/ryct.220183] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/10/2022] [Accepted: 07/02/2022] [Indexed: 06/16/2023]
Abstract
Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to standardize reporting system for patients undergoing coronary CT angiography (CCTA) and to guide possible next steps in patient management. The goal of this updated 2022 CAD-RADS 2.0 is to improve the initial reporting system for CCTA by considering new technical developments in Cardiac CT, including data from recent clinical trials and new clinical guidelines. The updated CAD-RADS classification will follow an established framework of stenosis, plaque burden, and modifiers, which will include assessment of lesion-specific ischemia using CT fractional-flow-reserve (CT-FFR) or myocardial CT perfusion (CTP), when performed. Similar to the method used in the original CAD-RADS version, the determinant for stenosis severity classification will be the most severe coronary artery luminal stenosis on a per-patient basis, ranging from CAD-RADS 0 (zero) for absence of any plaque or stenosis to CAD-RADS 5 indicating the presence of at least one totally occluded coronary artery. Given the increasing data supporting the prognostic relevance of coronary plaque burden, this document will provide various methods to estimate and report total plaque burden. The addition of P1 to P4 descriptors are used to denote increasing categories of plaque burden. The main goal of CAD-RADS, which should always be interpreted together with the impression found in the report, remains to facilitate communication of test results with referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving patient care. Keywords: Coronary Artery Disease, Coronary CTA, CAD-RADS, Reporting and Data System, Stenosis Severity, Report Standardization Terminology, Plaque Burden, Ischemia Supplemental material is available for this article. This article is published synchronously in Radiology: Cardiothoracic Imaging, Journal of Cardiovascular Computed Tomography, JACC: Cardiovascular Imaging, Journal of the American College of Radiology, and International Journal for Cardiovascular Imaging. © 2022 Society of Cardiovascular Computed Tomography. Published by RSNA with permission.
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Affiliation(s)
- Ricardo C. Cury
- Miami Cardiac and Vascular Institute and Baptist Health of South
Florida, 8900 N Kendall Drive, Miami FL, 33176, USA
| | | | - Suhny Abbara
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX,
USA
| | - Stephan Achenbach
- Friedrich-Alexander-Universität, Department of Cardiology,
Ulmenweg 18, 90154, Erlangen, Germany
| | | | | | | | | | - Andrew D. Choi
- The George Washington University School of Medicine, USA
| | | | - Jill Jacobs
- NYU Langone Medical Center, 550 First Avenue, New York, NY, 10016,
USA
| | | | - John Lesser
- Division of Cardiology, Minneapolis Heart Institute, USA
| | | | | | - Frank J. Rybicki
- Department of Radiology, University of Cincinnati College of
Medicine, USA
| | | | | | | | | | - Todd C. Villines
- Division of Cardiology, University of Virginia Health System,
USA
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School,
USA
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Izoe Y, Nagao M, Sato K, Sakai A, Ando K, Kanai M, Yamamoto A, Sakai S, Chida K. Dynamic coronary CT Angiography-Estimated coronary flow in Non-Obstructive, Plaque-free coronary Arteries: Association with dyslipidemia and diabetes. IJC HEART & VASCULATURE 2022; 42:101098. [PMID: 36032266 PMCID: PMC9399286 DOI: 10.1016/j.ijcha.2022.101098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 07/09/2022] [Accepted: 07/25/2022] [Indexed: 11/18/2022]
Abstract
Rationale and Objectives In this study, we implemented dynamic coronary CT angiography (CCTA) in order to estimate the coronary flow rate in morphologically normal coronary arteries as well as to identify factors affecting the coronary flow rate. Materials and Methods We retrospectively enrolled 95 consecutively presenting patients without stenosis or plaque in their major coronary arteries on CCTA conducted with a 320-detector scanner (mean age, 57 years; 43 % men). Time-attenuation curves of the distal sites of the major coronary arteries and the aortic root were extracted from dynamic CCTA data. Coronary flow rate, an indicator of coronary blood flow, was calculated via a convolution-integration method integrating the two curves. Patients with dyslipidemia were divided according to the presence or absence of familial hypercholesterolemia (FH) as well as according to the receipt of statin therapy. Results We found that the coronary flow rate was statistically significantly lower in statin-naïve patients with dyslipidemia (n = 27, 0.56 ± 0.10) than in patients without dyslipidemia (n = 32, 0.64 ± 0.10, p = 0.0013). In FH (n = 26), the coronary flow rate was statistically significantly lower in statin-naïve patients (n = 7, 0.65 ± 0.08) than in those taking statins (n = 19, 0.72 ± 0.10, p = 0.0221). Coronary flow rate likewise exhibited a statistically significant negative correlation with hemoglobin A1c (Pearson r, −0.437; p = 0.0003), but no correlation with other coronary risk factors. The coronary flow rate was statistically significantly lower in patients with diabetes (n = 14, 0.55 ± 0.10) than in those without diabetes (n = 81, 0.61 ± 0.11, p = 0.0461). Conclusion We found a reduction in coronary flow rate in patients with statin-naive dyslipidemia and diabetes, even within morphologically normal coronary arteries.
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Affiliation(s)
- Yukako Izoe
- Graduate School of Medicine, Health Sciences, Division of Radiological Examination and Technology Tohoku University, Sendai City, Japan
| | - Michinobu Nagao
- Department of Diagnostic Imaging & Nuclear Medicine, Tokyo Women’s Medical University, Tokyo, Japan
- Corresponding author.
| | - Kayoko Sato
- Department of Cardiology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Akiko Sakai
- Department of Cardiology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Kiyoe Ando
- Department of Cardiology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Miwa Kanai
- Department of Cardiology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Astushi Yamamoto
- Department of Diagnostic Imaging & Nuclear Medicine, Tokyo Women’s Medical University, Tokyo, Japan
- Department of Cardiology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Shuji Sakai
- Department of Diagnostic Imaging & Nuclear Medicine, Tokyo Women’s Medical University, Tokyo, Japan
| | - Koichi Chida
- Graduate School of Medicine, Health Sciences, Division of Radiological Examination and Technology Tohoku University, Sendai City, Japan
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Liu H, Chen Z, Tang C, Fan H, Mai X, Cai J, Qiao T. High-density thrombus and maximum transverse diameter on multi-spiral computed tomography angiography combine to predict abdominal aortic aneurysm rupture. Front Cardiovasc Med 2022; 9:951264. [PMID: 36247433 PMCID: PMC9561396 DOI: 10.3389/fcvm.2022.951264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 08/29/2022] [Indexed: 12/03/2022] Open
Abstract
Objective We attempted to measure maximum transverse diameter (MTD) of and CT values of ILT by using multi-spiral computed tomography angiography (MSCTA) to investigate the predictive value of MTD with different CT values of thrombus on the risk of AAA rupture. Methods Forty-five intact abdominal aortic aneurysms (IAAA) and 17 ruptured abdominal aortic aneurysms (RAAA) were included in this study. MTD and CT values in their planes were measured from MSCTA images and aneurysm lumen and thrombus volumes were calculated for the range of different CT values. Results The median of maximum CT value of thrombus at the plane of MTD was higher in RAAA (107.0 HU) than the median in IAAA (84.5 HU) (P < 0.001). Univariate logistic regression analysis showed that the maximum CT value was a risk factor for RAAA (P < 0.001). It was further found that the area under the ROC curve for thrombus maximum CT value in the MTD plane to predict RAAA was 0.848 (P < 0.001), with a cut-off value of 97.5 HU, a sensitivity of 82.35%, and a specificity of 84.44%. And the MTD of the abnormal lumen combined with the maximum CT value at its plane predicted RAAA with an area under the ROC curve of 0.901, a sensitivity of 76.47%, and a specificity of 97.78%. The further analysis of thrombus volume in the range of different CT value showed that median thrombus volume in RAAA in the range of 30 HU~150 HU was 124.2 cm3 which was higher than the median of 81.4 cm3 in IAAA (P = 0.005). To exclude confounding factors (aneurysm volume), we calculated the standardized thrombus (ILT volume/total aneurysm volume), and the thrombus volume in the range of 30 HU~150 HU in RAAA was positively correlated with the standardized thrombus volume (ρ = 0.885, P < 0.001), while the thrombus volume in the range of −100 HU~30 HU was not correlated with it (ρ = 0.309, P = 0.228). Conclusions High-density ILT shown on MSCTA in AAAs is associated with aneurysm rupture, and its maximum transverse diameter combined with the maximum CT value in its plane is a better predictor of RAAA.
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Affiliation(s)
- Heqian Liu
- Department of Vascular Surgery, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, China
| | - Zhipeng Chen
- Department of Vascular Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Chen Tang
- Department of Vascular Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Haijian Fan
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Xiaoli Mai
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jing Cai
- Department of Vascular Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
- *Correspondence: Jing Cai
| | - Tong Qiao
- Department of Vascular Surgery, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, China
- Tong Qiao
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90
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Koide Y, Miyoshi T, Nishihara T, Nakashima M, Ichikawa K, Miki T, Osawa K, Ito H. The Association of Triglyceride to High-Density Lipoprotein Cholesterol Ratio with High-Risk Coronary Plaque Characteristics Determined by CT Angiography and Its Risk of Coronary Heart Disease. J Cardiovasc Dev Dis 2022; 9:jcdd9100329. [PMID: 36286281 PMCID: PMC9604328 DOI: 10.3390/jcdd9100329] [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: 08/31/2022] [Revised: 09/25/2022] [Accepted: 09/27/2022] [Indexed: 11/23/2022] Open
Abstract
The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio is an independent risk index for cardiovascular events. This study aimed to evaluate the association between TG/HDL-C ratio and coronary plaque characteristics as seen on coronary computed tomography angiography (CCTA) and the corresponding increase in the likelihood of cardiovascular events. A total of 935 patients who underwent CCTA for suspected coronary artery disease (CAD) were included. High-risk plaques (HRP) were defined based on three characteristics: positive remodeling, low-density plaques, and spotty calcification. Significant stenosis was defined as luminal narrowing of >70%. Patients with a higher TG/HDL-C ratio showed significantly greater prevalence of HRP and significant stenosis than patients with low TG/HDL-C ratios (p < 0.01). Multivariate logistic analysis demonstrated that the TG/HDL-C ratio was significantly associated with the presence of HRP (p < 0.01) but not with significant coronary stenosis (p = 0.24). During the median follow-up period of 4.1 years, 26 cardiovascular events including cardiovascular death and acute coronary syndrome occurred. The highest TG/HDL-C tertile was associated with cardiovascular events, with the lowest TG/HDL-C tertile as the reference (hazard ratio, 3.75; 95% confidence interval, 1.04−13.50). A high TG/HDL-C ratio is associated with the presence of CCTA-verified HRP, which can lead to cardiovascular events in patients with suspected CAD.
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Affiliation(s)
- Yuji Koide
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan
- Department of Cardiovascular Medicine, Iwakuni Clinical Center, Iwakuni 740-8510, Japan
| | - Toru Miyoshi
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan
- Correspondence:
| | - Takahiro Nishihara
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan
| | - Mitsutaka Nakashima
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan
| | - Keishi Ichikawa
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan
| | - Takashi Miki
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan
| | - Kazuhiro Osawa
- Department of General Internal Medicine 3, Kawasaki Medical School General Medicine Center, Okayama 700-8505, Japan
| | - Hiroshi Ito
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan
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91
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Crosstalk Between Adipose Tissue and the Heart: An Update. J Transl Int Med 2022; 10:219-226. [PMID: 36776231 PMCID: PMC9901553 DOI: 10.2478/jtim-2022-0039] [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] [Indexed: 11/21/2022] Open
Abstract
It is important to understand how different human organs coordinate and interact with each other. Since obesity and cardiac disease frequently coincide, the crosstalk between adipose tissues and heart has drawn attention. We appreciate that specific peptides/proteins, lipids, nucleic acids, and even organelles shuttle between the adipose tissues and heart. These bioactive components can profoundly affect the metabolism of cells in distal organs, including heart. Importantly, this process can be dysregulated under pathophysiological conditions. This also opens the door to efforts targeting these mediators as potential therapeutic strategies to treat patients who manifest diabetes and cardiovascular disease. Here, we summarize the recent progress toward a better understanding of how the adipose tissues and heart interact with each other.
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92
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Vattay B, Borzsák S, Boussoussou M, Vecsey-Nagy M, Jermendy ÁL, Suhai FI, Maurovich-Horvat P, Merkely B, Kolossváry M, Szilveszter B. Association between coronary plaque volume and myocardial ischemia detected by dynamic perfusion CT imaging. Front Cardiovasc Med 2022; 9:974805. [PMID: 36158821 PMCID: PMC9498180 DOI: 10.3389/fcvm.2022.974805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction We aimed to evaluate the relationship between quantitative plaque metrics derived from coronary CT angiography (CTA) and segmental myocardial ischemia using dynamic perfusion CT (DPCT). Methods In a prospective single-center study, patients with > 30% stenosis on rest CTA underwent regadenoson stress DPCT. 480 myocardium segments of 30 patients were analyzed. Quantitative plaque assessment included total plaque volume (PV), area stenosis, and remodeling index (RI). High-risk plaque (HRP) was defined as low-attenuation plaque burden > 4% or RI > 1.1. Absolute myocardial blood flow (MBF) and relative MBF (MBFi: MBF/75th percentile of all MBF values) were quantified. Linear and logistic mixed models correcting for intra-patient clustering and clinical factors were used to evaluate the association between total PV, area stenosis, HRP and MBF or myocardial ischemia (MBF < 101 ml/100 g/min). Results Median MBF and MBFi were 111 ml/100 g/min and 0.94, respectively. The number of ischemic segments were 164/480 (34.2%). Total PV of all feeding vessels of a given myocardial territory differed significantly between ischemic and non-ischemic myocardial segments (p = 0.001). Area stenosis and HRP features were not linked to MBF or MBFi (all p > 0.05). Increase in PV led to reduced MBF and MBFi after adjusting for risk factors including hypertension, diabetes, and statin use (per 10 mm3; β = −0.035, p < 0.01 for MBF; β = −0.0002, p < 0.01 for MBFi). Similarly, using multivariate logistic regression total PV was associated with ischemia (OR = 1.01, p = 0.033; per 10 mm3) after adjustments for clinical risk factors, area stenosis and HRP. Conclusion Total PV was independently associated with myocardial ischemia based on MBF, while area stenosis and HRP were not.
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Affiliation(s)
- Borbála Vattay
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Sarolta Borzsák
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Melinda Boussoussou
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Milán Vecsey-Nagy
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Ádám L. Jermendy
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Ferenc I. Suhai
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Pál Maurovich-Horvat
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
- Medical Imaging Center, Semmelweis University, Budapest, Hungary
| | - Béla Merkely
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Márton Kolossváry
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Bálint Szilveszter
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
- *Correspondence: Bálint Szilveszter,
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93
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Mergen V, Eberhard M, Manka R, Euler A, Alkadhi H. First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography. Front Cardiovasc Med 2022; 9:981012. [PMID: 36148053 PMCID: PMC9485480 DOI: 10.3389/fcvm.2022.981012] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeTo assess the effect of ultra-high-resolution coronary CT angiography (CCTA) with photon-counting detector (PCD) CT on quantitative coronary plaque characterization.Materials and methodsIn this IRB-approved study, 22 plaques of 20 patients (7 women; mean age 77 ± 8 years, mean body mass index 26.1 ± 3.6 kg/m2) undergoing electrocardiography (ECG)-gated ultra-high-resolution CCTA with PCD-CT were included. Images were reconstructed with a smooth (Bv40) and a sharp (Bv64) vascular kernel, with quantum iterative reconstruction (strength level 4), and using a slice thickness of 0.6, 0.4, and 0.2 mm, respectively (field-of-view 200 mm × 200 mm, matrix size 512 × 512 pixels). Reconstructions with the Bv40 kernel and slice thickness of 0.6 mm served as the reference standard. After identification of a plaque in coronary arteries with a vessel diameter ≥2 mm, plaque composition was determined using a dedicated, semi-automated plaque quantification software. Total plaque, calcified, fibrotic, and lipid-rich plaque components were quantified in all datasets.ResultsMedian plaque volume was highest (23.5 mm3, interquartiles 17.9–34.3 mm3) for reconstructions with the reference standard and lowest for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel (18.1 mm3, interquartiles 14.1–25.8 mm3, p < 0.001). Reconstructions with the reference standard showed largest calcified (85.1%, interquartiles 76.4–91.1%) and smallest lipid-rich plaque components (0.5%, interquartiles 0.0–1.5%). Smallest calcified plaque components (75.2%, interquartiles 69.9–80.8%) and largest lipid-rich components (6.7%, interquartiles 5.1–8.4%) were found for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel. At an identical slice thickness, volume of calcified components was always lower, and volume of lipid-rich components was always higher for reconstructions with the Bv64 kernel compared with reconstructions with the Bv40 kernel (all, p < 0.001).ConclusionThis patient study indicates significant differences of ultra-high-resolution scanning with PCD-CT on quantitative coronary plaque characterization. Reduced blooming artifacts may allow improved visualization of fibrotic and lipid-rich plaque components with the ultra-high-resolution mode of PCD-CT.
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Affiliation(s)
- Victor Mergen
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Eberhard
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Robert Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - André Euler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- *Correspondence: Hatem Alkadhi,
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94
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Dell’Aversana S, Ascione R, De Giorgi M, De Lucia DR, Cuocolo R, Boccalatte M, Sibilio G, Napolitano G, Muscogiuri G, Sironi S, Di Costanzo G, Cavaglià E, Imbriaco M, Ponsiglione A. Dual-Energy CT of the Heart: A Review. J Imaging 2022; 8:jimaging8090236. [PMID: 36135402 PMCID: PMC9503750 DOI: 10.3390/jimaging8090236] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/09/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
Dual-energy computed tomography (DECT) represents an emerging imaging technique which consists of the acquisition of two separate datasets utilizing two different X-ray spectra energies. Several cardiac DECT applications have been assessed, such as virtual monoenergetic images, virtual non-contrast reconstructions, and iodine myocardial perfusion maps, which are demonstrated to improve diagnostic accuracy and image quality while reducing both radiation and contrast media administration. This review will summarize the technical basis of DECT and review the principal cardiac applications currently adopted in clinical practice, exploring possible future applications.
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Affiliation(s)
- Serena Dell’Aversana
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
- Correspondence:
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Davide Raffaele De Lucia
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy
| | - Marco Boccalatte
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Gerolamo Sibilio
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | | | - Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
| | - Sandro Sironi
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
| | - Giuseppe Di Costanzo
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Enrico Cavaglià
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
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95
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Osborne-Grinter M, Kwiecinski J, Doris M, McElhinney P, Cadet S, Adamson PD, Moss AJ, Alam S, Hunter A, Shah ASV, Mills NL, Pawade T, Wang C, Weir-McCall JR, Roditi G, van Beek EJR, Shaw LJ, Nicol ED, Berman D, Slomka PJ, Newby DE, Dweck MR, Dey D, Williams MC. Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trial. Eur Heart J Cardiovasc Imaging 2022; 23:1210-1221. [PMID: 34529050 PMCID: PMC9612790 DOI: 10.1093/ehjci/jeab135] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 06/22/2021] [Indexed: 01/03/2023] Open
Abstract
AIMS Coronary artery calcification is a marker of cardiovascular risk, but its association with qualitatively and quantitatively assessed plaque subtypes is unknown. METHODS AND RESULTS In this post-hoc analysis, computed tomography (CT) images and 5-year clinical outcomes were assessed in SCOT-HEART trial participants. Agatston coronary artery calcium score (CACS) was measured on non-contrast CT and was stratified as zero (0 Agatston units, AU), minimal (1-9 AU), low (10-99 AU), moderate (100-399 AU), high (400-999 AU), and very high (≥1000 AU). Adverse plaques were investigated by qualitative (visual categorization of positive remodelling, low-attenuation plaque, spotty calcification, and napkin ring sign) and quantitative (calcified, non-calcified, low-attenuation, and total plaque burden; Autoplaque) assessments. Of 1769 patients, 36% had a zero, 9% minimal, 20% low, 17% moderate, 10% high, and 8% very high CACS. Amongst patients with a zero CACS, 14% had non-obstructive disease, 2% had obstructive disease, 2% had visually assessed adverse plaques, and 13% had low-attenuation plaque burden >4%. Non-calcified and low-attenuation plaque burden increased between patients with zero, minimal, and low CACS (P < 0.001), but there was no statistically significant difference between those with medium, high, and very high CACS. Myocardial infarction occurred in 41 patients, 10% of whom had zero CACS. CACS >1000 AU and low-attenuation plaque burden were the only predictors of myocardial infarction, independent of obstructive disease, and 10-year cardiovascular risk score. CONCLUSION In patients with stable chest pain, zero CACS is associated with a good but not perfect prognosis, and CACS cannot rule out obstructive coronary artery disease, non-obstructive plaque, or adverse plaque phenotypes, including low-attenuation plaque.
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Affiliation(s)
- Maia Osborne-Grinter
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
| | - Jacek Kwiecinski
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Mhairi Doris
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
| | - Priscilla McElhinney
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA, USA
| | - Sebastien Cadet
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA, USA
| | - Philip D Adamson
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Alastair J Moss
- NIHR Leicester Biomedical Research Centre and Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Shirjel Alam
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
| | - Amanda Hunter
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
| | - Anoop S V Shah
- Department of non-communicable disease epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Nicholas L Mills
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Tania Pawade
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
| | - Chengjia Wang
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
| | | | - Giles Roditi
- Institute of Cardiovascular & Medical Sciences, Glasgow University, Glasgow, UK
| | - Edwin J R van Beek
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
- Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK
| | | | - Edward D Nicol
- Department of Cardiology, Royal Brompton and Harefield NHS Foundation Trust, London, UK
- Faculty of Medicine, National Heart and Lung Institute, Imperial College, London, UK
| | - Daniel Berman
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA, USA
| | - Piotr J Slomka
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA, USA
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
- Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
- Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Centre, Los Angeles, CA, USA
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor’s Building,49 Little France Crescent, Edinburgh, EH164SB, UK
- Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK
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96
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Jonas RA, Weerakoon S, Fisher R, Griffin WF, Kumar V, Rahban H, Marques H, Karlsberg RP, Jennings RS, Crabtree TR, Choi AD, Earls JP. Interobserver variability among expert readers quantifying plaque volume and plaque characteristics on coronary CT angiography: a CLARIFY trial sub-study. Clin Imaging 2022; 91:19-25. [PMID: 35986973 DOI: 10.1016/j.clinimag.2022.08.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/21/2022] [Accepted: 08/07/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND The difference between expert level (L3) reader and artificial intelligence (AI) performance for quantifying coronary plaque and plaque components is unknown. OBJECTIVE This study evaluates the interobserver variability among expert readers for quantifying the volume of coronary plaque and plaque components on coronary computed tomographic angiography (CCTA) using an artificial intelligence enabled quantitative CCTA analysis software as a reference (AI-QCT). METHODS This study uses CCTA imaging obtained from 232 patients enrolled in the CLARIFY (CT EvaLuation by ARtificial Intelligence For Atherosclerosis, Stenosis and Vascular MorphologY) study. Readers quantified overall plaque volume and the % breakdown of noncalcified plaque (NCP) and calcified plaque (CP) on a per vessel basis. Readers categorized high risk plaque (HRP) based on the presence of low-attenuation-noncalcified plaque (LA-NCP) and positive remodeling (PR; ≥1.10). All CCTAs were analyzed by an FDA-cleared software service that performs AI-driven plaque characterization and quantification (AI-QCT) for comparison to L3 readers. Reader generated analyses were compared among readers and to AI-QCT generated analyses. RESULTS When evaluating plaque volume on a per vessel basis, expert readers achieved moderate to high interobserver consistency with an intra-class correlation coefficient of 0.78 for a single reader score and 0.91 for mean scores. There was a moderate trend between readers 1, 2, and 3 and AI with spearman coefficients of 0.70, 0.68 and 0.74, respectively. There was high discordance between readers and AI plaque component analyses. When quantifying %NCP v. %CP, readers 1, 2, and 3 achieved a weighted kappa coefficient of 0.23, 0.34 and 0.24, respectively, compared to AI with a spearman coefficient of 0.38, 0.51, and 0.60, respectively. The intra-class correlation coefficient among readers for plaque composition assessment was 0.68. With respect to HRP, readers 1, 2, and 3 achieved a weighted kappa coefficient of 0.22, 0.26, and 0.17, respectively, and a spearman coefficient of 0.36, 0.35, and 0.44, respectively. CONCLUSION Expert readers performed moderately well quantifying total plaque volumes with high consistency. However, there was both significant interobserver variability and high discordance with AI-QCT when quantifying plaque composition.
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Affiliation(s)
- Rebecca A Jonas
- Department of Internal Medicine, Thomas Jefferson University Medical Center, Philadelphia, PA, USA
| | - Shaneke Weerakoon
- Department of Cardiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Rebecca Fisher
- Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - William F Griffin
- Department of Radiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Vishak Kumar
- Department of Cardiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Habib Rahban
- Cardiovascular Research Foundation of Southern California, Beverly Hills, CA, USA
| | - Hugo Marques
- Centro Hospitalar Universitario de Lisboa Central - Servico de Radiologia do Hospital de Santa Marta, Lisboa, Portugal; Nova Medical School - Faculdade de Ciencias Medicas -, Lisboa, Portugal
| | - Ronald P Karlsberg
- Cardiovascular Research Foundation of Southern California, Beverly Hills, CA, USA
| | | | | | - Andrew D Choi
- Department of Cardiology, The George Washington University School of Medicine, Washington, DC, USA; Department of Radiology, The George Washington University School of Medicine, Washington, DC, USA
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Yang S, Hoshino M, Koo BK, Yonetsu T, Zhang J, Hwang D, Shin ES, Doh JH, Nam CW, Wang J, Chen S, Tanaka N, Matsuo H, Kubo T, Chang HJ, Kakuta T, Narula J. Relationship of Plaque Features at Coronary CT to Coronary Hemodynamics and Cardiovascular Events. Radiology 2022; 305:578-587. [PMID: 35972355 DOI: 10.1148/radiol.213271] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Plaque assessments with coronary CT angiography (CCTA) and coronary flow indexes have prognostic implications. Purpose To investigate the association and additive prognostic value of plaque burden and characteristics at CCTA with coronary pressure and flow. Materials and Methods Data of patients with coronary artery disease who underwent CCTA within 90 days before physiologic assessments at tertiary cardiovascular centers between January 2011 and December 2018 were retrospectively analyzed, which included fractional flow reserve (FFR), resting distal coronary artery pressure (Pd)-to-aortic pressure (Pa) ratio (hereafter, Pd/Pa), coronary flow reserve (CFR), hyperemic flow (1/hyperemic mean transit time [Tmn]), resting flow (1/resting Tmn), and index of microcirculatory resistance (IMR). Four high-risk plaque (HRP) attributes at CCTA defined high disease burden (plaque burden, ≥70%; minimum lumen area, <4 mm2) and adverse plaque (low-attenuation plaque, positive remodeling). Their lesion-specific relationships with coronary hemodynamic parameters and major adverse cardiovascular events (MACE) were investigated using a generalized estimating equation and marginal Cox model. Results Among 406 lesions from 335 patients (mean age, 67 years ± 10 [SD]; 259 men), high disease burden is predicted by FFR (odds ratio [OR], 0.55; P < .001), resting Pd/Pa (OR, 0.47; P < .001), CFR (OR, 0.85; P = .004), and hyperemic flow (OR, 0.91; P = .03), and adverse plaque by FFR (OR, 0.67; P < .001), resting Pd/Pa (OR, 0.69; P = .001), hyperemic flow (OR, 0.76; P = .006), resting flow (OR, 0.54; P = .001), and IMR (OR, 1.27; P = .008). High disease burden (hazard ratio [HR], 4.0; P = .004) and adverse plaque (HR, 2.7; P = .02) were associated with a higher risk of MACE (n = 27) over median 2.9-year follow-up. In six lesion subsets with normal flow or pressure, at least three HRP attributes predicted a higher MACE rate (HR range, 2.6-6.3). Conclusion High-risk plaque features and plaque burden at coronary CT angiography were associated with cardiovascular events independent of coronary hemodynamic parameters. Clinical trial registration no. NCT04037163 © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Leipsic and Tzimas in this issue.
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Affiliation(s)
- Seokhun Yang
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Masahiro Hoshino
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Bon-Kwon Koo
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Taishi Yonetsu
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Jinlong Zhang
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Doyeon Hwang
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Eun-Seok Shin
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Joon-Hyung Doh
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Chang-Wook Nam
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Jianan Wang
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Shaoliang Chen
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Nobuhiro Tanaka
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Hitoshi Matsuo
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Takashi Kubo
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Hyuk-Jae Chang
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Tsunekazu Kakuta
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
| | - Jagat Narula
- From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.)
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Harnessing imaging biomarkers to refine individualized cardiovascular disease risk: a case-based discussion. Coron Artery Dis 2022; 33:574-579. [PMID: 35942620 DOI: 10.1097/mca.0000000000001173] [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] [Indexed: 11/25/2022]
Abstract
Traditional models of cardiovascular risk assessment rely on population-level risk factors and may not accurately capture individualized risk. Imaging biomarkers such as plaque characterization and pericoronary fat inflammation may offer refined risk prediction and allow physicians to personalize care-plans for cardiovascular disease prevention. The integration of plaque morphology and pericoronary inflammation into clinical care is highlighted using a case-based discussion. This article reviews the existing body of evidence supporting the use of novel biomarkers in an individualized comprehensive risk assessment algorithm.
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Munnur RK, Cheng K, Laggoune J, Talman A, Muthalaly R, Nerlekar N, Baey YW, Nogic J, Lin A, Cameron JD, Seneviratne S, Wong DTL. Quantitative plaque characterisation and association with acute coronary syndrome on medium to long term follow up: insights from computed tomography coronary angiography. Cardiovasc Diagn Ther 2022; 12:415-425. [PMID: 36033222 PMCID: PMC9412217 DOI: 10.21037/cdt-21-763] [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: 12/15/2021] [Accepted: 05/25/2022] [Indexed: 11/09/2022]
Abstract
Background Computed tomography coronary angiography (CTCA) is an established imaging modality widely used for diagnosing coronary artery stenosis with expanding potential for comprehensive assessment of coronary artery disease (CAD). Lesion-based analyses of high-risk plaques (HRP) on CTCA may aid further in prognostication presenting with stable chest pain. We conduct qualitative and quantitative assessments to identify HRPs that are associated with acute coronary syndrome (ACS) on a medium to long term follow-up. Methods Retrospective cohort study of patients who underwent CTCA for suspected CAD. Obstructive stenosis (OS) is defined as ≥50% and the presence of HRP and its constituents: positive-remodelling (PR), low-attenuation-plaque (LAP; <56 HU), very-low-attenuation-plaque (vLAP; <30 HU) and spotty-calcification (SC) were recorded. A cross-sectional quantitative analysis of HRP was performed at the site of minimum-luminal-area (MLA). The primary endpoint was fatal or non-fatal ACS on follow-up. Results A total of 1,257 patients were included (mean age 61±14 years old and 51% male) with a median follow-up of 7.24 years (interquartile range 5.5 to 7.7 years). The occurrence of ACS was significantly higher in HRP (+) patients compared to HRP (−) patients and patients with no plaques (20.5% vs. 1.6% vs. 0.4%, log-rank test P<0.001). ACS was more frequent in HRP (+)/OS (+) patients (20.7%) compared to HRP (+)/OS (−) patients (8.6%), HRP (−)/OS (+) patients (1.8%) and HRP (−)/OS (−) patients (1.0%). OS, cross-sectional plaque area (PA) and the presence of vLAP identified those HRP lesions that were more likely to cause future ACS. Cross-sectional LAP area (<56 HU) in HRP lesions added incremental prognostic value to OS in predicting ACS (P=0.008). Conclusions The presence of OS and the LAP area at the site of MLA identify the HRP lesions that have the greatest association with development of future ACS.
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Affiliation(s)
- Ravi K Munnur
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Kevin Cheng
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Jordan Laggoune
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Andrew Talman
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Rahul Muthalaly
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Nitesh Nerlekar
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Yi-Wei Baey
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Jason Nogic
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Andrew Lin
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - James D Cameron
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Sujith Seneviratne
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia
| | - Dennis T L Wong
- Monash Cardiovascular Research Centre, Department of Medicine (Monash Medical Centre) Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia.,South Australian Health Medical Research Institute (SAHMRI), Adelaide, Australia
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100
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van den Hoogen IJ, Stuijfzand WJ, Gianni U, van Rosendael AR, Bax AM, Lu Y, Tantawy SW, Hollenberg EJ, Andreini D, Al-Mallah MH, Cademartiri F, Chinnaiyan K, Chow BJW, Conte E, Cury RC, Feuchtner G, Gonçalves PDA, Hadamitzky M, Kim YJ, Leipsic J, Maffei E, Marques H, Plank F, Pontone G, Villines TC, Lee SE, Al'Aref SJ, Baskaran L, Danad I, Gransar H, Budoff MJ, Samady H, Virmani R, Berman DS, Chang HJ, Narula J, Min JK, Bax JJ, Lin FY, Shaw LJ. Early versus late acute coronary syndrome risk patterns of coronary atherosclerotic plaque. Eur Heart J Cardiovasc Imaging 2022; 23:1314-1323. [PMID: 35904766 DOI: 10.1093/ehjci/jeac114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 05/02/2022] [Accepted: 05/31/2022] [Indexed: 11/13/2022] Open
Abstract
AIMS The temporal instability of coronary atherosclerotic plaque preceding an incident acute coronary syndrome (ACS) is not well defined. We sought to examine differences in the volume and composition of coronary atherosclerosis between patients experiencing an early (≤90 days) versus late ACS (>90 days) after baseline coronary computed tomography angiography (CCTA). METHODS AND RESULTS From a multicenter study, we enrolled patients who underwent a clinically indicated baseline CCTA and experienced ACS during follow-up. Separate core laboratories performed blinded adjudication of ACS events and quantification of CCTA including compositional plaque volumes by Hounsfield units (HU): calcified plaque >350 HU, fibrous plaque 131-350 HU, fibrofatty plaque 31-130 HU and necrotic core <30 HU. In 234 patients (mean age 62 ± 12 years, 36% women), early and late ACS occurred in 129 and 105 patients after a mean of 395 ± 622 days, respectively. Patients with early ACS had a greater maximal diameter stenosis and maximal cross-sectional plaque burden as compared to patients with late ACS (P < 0.05). Larger total, fibrous, fibrofatty, and necrotic core volumes were observed in the early ACS group (P < 0.05). Findings for total, fibrous, fibrofatty, and necrotic core volumes were reproduced in an external validation cohort (P < 0.05). CONCLUSIONS Volumetric differences in composition of coronary atherosclerosis exist between ACS patients according to their timing antecedent to the acute event. These data support that a large burden of non-calcified plaque on CCTA is strongly associated with near-term plaque instability and ACS risk.
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Affiliation(s)
- Inge J van den Hoogen
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Wijnand J Stuijfzand
- Amsterdam University Medical Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Umberto Gianni
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | | | - A Maxim Bax
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Yao Lu
- Department of Healthcare Policy and Research, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY, USA
| | - Sara W Tantawy
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Faculty of Medicine, Department of Radiology, Ain Shams University, Cairo, Egypt
| | - Emma J Hollenberg
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | | | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | | | | | - Benjamin J W Chow
- Department of Medicine and Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Edoardo Conte
- Centro Cardiologico Monzino, IRCCS Milan, Milan, Italy
| | - Ricardo C Cury
- Department of Radiology, Miami Cardiac and Vascular Institute, Miami, FL, USA
| | - Gudrun Feuchtner
- Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Yong-Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Jonathon Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada
| | - Erica Maffei
- Department of Radiology, Area Vasta 1/ASUR Marche, Urbino, Italy
| | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisbon, Portugal
| | - Fabian Plank
- Department of Cardiology, Innsbruck Medical University, Innsbruck, Austria
| | | | - Todd C Villines
- Department of Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, Korea.,Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Subhi J Al'Aref
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Lohendran Baskaran
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.,Department of Cardiovascular Medicine, National Heart Centre, Singapore
| | - Ibrahim Danad
- Amsterdam University Medical Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Heidi Gransar
- Department of Imaging, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA, USA
| | - Habib Samady
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | | | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Fay Y Lin
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Leslee J Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
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