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Wu J, Zou Y, Meng X, Fan Z, van der Geest R, Cui F, Li J, Zhang T, Zhang F. Increased incidence of napkin-ring sign plaques on cervicocerebral computed tomography angiography associated with the risk of acute ischemic stroke occurrence. Eur Radiol 2024; 34:4438-4447. [PMID: 38001250 DOI: 10.1007/s00330-023-10404-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/06/2023] [Accepted: 09/18/2023] [Indexed: 11/26/2023]
Abstract
OBJECTIVES Carotid atherosclerosis plays an essential role in the occurrence of ischemic stroke. This study aimed to investigate whether a larger burden of napkin-ring sign (NRS) plaques on cervicocerebral computed tomography angiography (CTA) increased the risk of acute ischemic stroke (AIS). METHODS This retrospective, single-center, cross-sectional study enrolled patients with NRS plaques identified in the subclavian arteries, brachiocephalic trunk, carotid arterial system, and vertebrobasilar circulation on contrast-enhanced cervicocerebral CTA. Patients were divided into AIS and non-AIS groups based on imaging within 12 h of symptom onset. Univariate and multivariate logistic regression analyses were performed to determine the risk factor of AIS occurrence. RESULTS A total of 202 patients (66.72 years ± 8.97, 157 men) were evaluated. Plaques with NRS in each subject of the AIS group (N = 98) were significantly more prevalent than that in the control group (N = 104) (1.96 ± 1.17 vs 1.41 ± 0.62). In the AIS group, there were substantially more NRS plaques on the ipsilateral side than contralateral side (1.55 ± 0.90 vs. 0.41 ± 0.66). NRS located on the ipsilateral side of the AIS showed an area under the receiver curve (AUC) of 0.86 to identify ischemic stroke. NRS plaque amounts were an independent risk factor for AIS occurrence (odds ratio, 1.86) after adjusting for other factors. CONCLUSIONS Increased incidence of napkin-ring sign plaques on cervicocerebral CTA was positively associated with AIS occurrence, which could aid in detecting asymptomatic atherosclerotic patients at high risk of AIS in routine screening or emergency settings. CLINICAL RELEVANCE STATEMENT Napkin-ring sign plaque provides an important imaging target for estimating acute ischemic stroke risk and identifying high-risk patients in routine screening or emergency settings, so that timely anti-atherosclerotic therapy can be used for prevention. KEY POINTS • This cross-sectional study investigated the association between high-risk carotid artery plaques and acute ischemic stroke. • Increased incidence of napkin-ring sign plaques on cervicocerebral computed tomography angiography is positively associated with acute ischemic stroke occurrence. • Napkin-ring signs help identify risky patients prone to acute ischemic stroke to facilitate prevention.
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Affiliation(s)
- Jingping Wu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Radiology, Hainan Hospital of PLA General Hospital, Sanya, China
| | - Ying Zou
- Department of Radiology, Hainan Hospital of PLA General Hospital, Sanya, China
| | - Xiao Meng
- Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Zhaoyang Fan
- Department of Radiology, University of Southern California, Los Angeles, CA, USA
| | - Rob van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Fang Cui
- Department of Neurology, Hainan Hospital of PLA General Hospital, Sanya, China
| | - Jianyong Li
- Department of Neurology, Hainan Hospital of PLA General Hospital, Sanya, China
| | - Tengyuan Zhang
- Department of Neurology, Hainan Hospital of PLA General Hospital, Sanya, China
| | - Fan Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
- Department of Radiology, Hainan Hospital of PLA General Hospital, Sanya, China.
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Wolny R, Geers J, Grodecki K, Kwiecinski J, Williams MC, Slomka PJ, Hasific S, Lin AK, Dey D. Noninvasive Atherosclerotic Phenotyping: The Next Frontier into Understanding the Pathobiology of Coronary Artery Disease. Curr Atheroscler Rep 2024; 26:305-315. [PMID: 38727963 DOI: 10.1007/s11883-024-01205-7] [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: 04/25/2024] [Indexed: 06/22/2024]
Abstract
PURPOSE OF REVIEW Despite recent advances, coronary artery disease remains one of the leading causes of mortality worldwide. Noninvasive imaging allows atherosclerotic phenotyping by measurement of plaque burden, morphology, activity and inflammation, which has the potential to refine patient risk stratification and guide personalized therapy. This review describes the current and emerging roles of advanced noninvasive cardiovascular imaging methods for the assessment of coronary artery disease. RECENT FINDINGS Cardiac computed tomography enables comprehensive, noninvasive imaging of the coronary vasculature, and is used to assess luminal stenoses, coronary calcifications, and distinct adverse plaque characteristics, helping to identify patients prone to future events. Novel software tools, implementing artificial intelligence solutions, can automatically quantify and characterize atherosclerotic plaque from standard computed tomography datasets. These quantitative imaging biomarkers have been shown to improve patient risk stratification beyond clinical risk scores and current clinical interpretation of cardiac computed tomography. In addition, noninvasive molecular imaging in higher risk patients can be used to assess plaque activity and plaque thrombosis. Noninvasive imaging allows unique insight into the burden, morphology and activity of atherosclerotic coronary plaques. Such phenotyping of atherosclerosis can potentially improve individual patient risk prediction, and in the near future has the potential for clinical implementation.
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Affiliation(s)
- Rafal Wolny
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Jolien Geers
- Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA
- Department of Cardiology, Centrum Voor Hart- en Vaatziekten (CHVZ), Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Kajetan Grodecki
- Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA
- 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Michelle C Williams
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Piotr J Slomka
- Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA
| | - Selma Hasific
- Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Andrew K Lin
- Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA
- Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University and MonashHeart, Monash Health, Melbourne, VIC, Australia
| | - Damini Dey
- Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.
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Li Y, Huo H, Liu H, Zheng Y, Tian Z, Jiang X, Jin S, Hou Y, Yang Q, Teng F, Liu T. Coronary CTA-based radiomic signature of pericoronary adipose tissue predict rapid plaque progression. Insights Imaging 2024; 15:151. [PMID: 38900243 PMCID: PMC11189889 DOI: 10.1186/s13244-024-01731-7] [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: 01/13/2024] [Accepted: 05/08/2024] [Indexed: 06/21/2024] Open
Abstract
OBJECTIVES To explore the value of radiomic features derived from pericoronary adipose tissue (PCAT) obtained by coronary computed tomography angiography for prediction of coronary rapid plaque progression (RPP). METHODS A total of 1233 patients from two centers were included in this multicenter retrospective study. The participants were divided into training, internal validation, and external validation cohorts. Conventional plaque characteristics and radiomic features of PCAT were extracted and analyzed. Random Forest was used to construct five models. Model 1: clinical model. Model 2: plaque characteristics model. Model 3: PCAT radiomics model. Model 4: clinical + radiomics model. Model 5: plaque characteristics + radiomics model. The evaluation of the models encompassed identification accuracy, calibration precision, and clinical applicability. Delong' test was employed to compare the area under the curve (AUC) of different models. RESULTS Seven radiomic features, including two shape features, three first-order features, and two textural features, were selected to build the PCAT radiomics model. In contrast to the clinical model and plaque characteristics model, the PCAT radiomics model (AUC 0.85 for training, 0.84 for internal validation, and 0.81 for external validation; p < 0.05) achieved significantly higher diagnostic performance in predicting RPP. The separate combination of radiomics with clinical and plaque characteristics model did not further improve diagnostic efficacy statistically (p > 0.05). CONCLUSION Radiomic feature analysis derived from PCAT significantly improves the prediction of RPP as compared to clinical and plaque characteristics. Radiomic analysis of PCAT may improve monitoring RPP over time. CRITICAL RELEVANCE STATEMENT Our findings demonstrate PCAT radiomics model exhibited good performance in the prediction of RPP, with potential clinical value. KEY POINTS Rapid plaque progression may be predictable with radiomics from pericoronary adipose tissue. Fibrous plaque volume, diameter stenosis, and fat attenuation index were identified as risk factors for predicting rapid plaque progression. Radiomics features of pericoronary adipose tissue can improve the predictive ability of rapid plaque progression.
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Affiliation(s)
- Yue Li
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Huaibi Huo
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Hui Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Yue Zheng
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Zhaoxin Tian
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Xue Jiang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Shiqi Jin
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Yang Hou
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Fei Teng
- Department of Radiology, Chinese Academy of Medical Sciences Fuwai Hospital Shenzhen Hospital, Shenzhen, China.
| | - Ting Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China.
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Tassetti L, Sfriso E, Torlone F, Baggiano A, Mushtaq S, Cannata F, Del Torto A, Fazzari F, Fusini L, Junod D, Maragna R, Volpe A, Carrabba N, Conte E, Guglielmo M, La Mura L, Pergola V, Pedrinelli R, Indolfi C, Sinagra G, Perrone Filardi P, Guaricci AI, Pontone G. The Role of Multimodality Imaging (CT & MR) as a Guide to the Management of Chronic Coronary Syndromes. J Clin Med 2024; 13:3450. [PMID: 38929984 PMCID: PMC11205051 DOI: 10.3390/jcm13123450] [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: 05/20/2024] [Revised: 06/06/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Chronic coronary syndrome (CCS) is one of the leading cardiovascular causes of morbidity, mortality, and use of medical resources. After the introduction by international guidelines of the same level of recommendation to non-invasive imaging techniques in CCS evaluation, a large debate arose about the dilemma of choosing anatomical (with coronary computed tomography angiography (CCTA)) or functional imaging (with stress echocardiography (SE), cardiovascular magnetic resonance (CMR), or nuclear imaging techniques) as a first diagnostic evaluation. The determinant role of the atherosclerotic burden in defining cardiovascular risk and prognosis more than myocardial inducible ischemia has progressively increased the use of a first anatomical evaluation with CCTA in a wide range of pre-test probability in CCS patients. Functional testing holds importance, both because the role of revascularization in symptomatic patients with proven ischemia is well defined and because functional imaging, particularly with stress cardiac magnetic resonance (s-CMR), gives further prognostic information regarding LV function, detection of myocardial viability, and tissue characterization. Emerging techniques such as stress computed tomography perfusion (s-CTP) and fractional flow reserve derived from CT (FFRCT), combining anatomical and functional evaluation, appear capable of addressing the need for a single non-invasive examination, especially in patients with high risk or previous revascularization. Furthermore, CCTA in peri-procedural planning is promising to acquire greater importance in the non-invasive planning and guiding of complex coronary revascularization procedures, both by defining the correct strategy of interventional procedure and by improving patient selection. This review explores the different roles of non-invasive imaging techniques in managing CCS patients, also providing insights into preoperative planning for percutaneous or surgical myocardial revascularization.
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Affiliation(s)
- Luigi Tassetti
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Enrico Sfriso
- Radiology Unit, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy;
| | | | - Andrea Baggiano
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Saima Mushtaq
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Francesco Cannata
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Alberico Del Torto
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Fabio Fazzari
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Laura Fusini
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Daniele Junod
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Riccardo Maragna
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Alessandra Volpe
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Nazario Carrabba
- Department of Cardiothoracovascular Medicine, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy;
| | - Edoardo Conte
- Department of Clinical Cardiology and Cardiovascular Imaging, Galeazzi-Sant’Ambrogio Hospital IRCCS, 20157 Milan, Italy;
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Medical Center Utrecht, Utrecht University, 3584 Utrecht, The Netherlands;
| | - Lucia La Mura
- Department of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy; (L.L.M.); (P.P.F.)
| | - Valeria Pergola
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, 35128 Padova, Italy;
| | - Roberto Pedrinelli
- Cardiac, Thoracic and Vascular Department, University of Pisa, 56124 Pisa, Italy;
| | - Ciro Indolfi
- Istituto di Cardiologia, Dipartimento di Scienze Mediche e Chirurgiche, Università degli Studi “Magna Graecia”, 88100 Catanzaro, Italy;
| | - Gianfranco Sinagra
- Cardiology Specialty School, University of Trieste, 34127 Trieste, Italy;
- Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), 34149 Trieste, Italy
| | - Pasquale Perrone Filardi
- Department of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy; (L.L.M.); (P.P.F.)
| | - Andrea Igoren Guaricci
- Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70126 Bari, Italy;
| | - Gianluca Pontone
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy
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5
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Nozaki YO, Fujimoto S, Takahashi D, Kudo A, Kawaguchi YO, Sato H, Kudo H, Takamura K, Hiki M, Dohi T, Tomizawa N, Kumamaru KK, Aoki S, Minamino T. Additional prognostic impact of plaque characterization with on-site CT-derived fractional flow Reserve in Coronary CT angiography. J Cardiol 2024:S0914-5087(24)00098-4. [PMID: 38876399 DOI: 10.1016/j.jjcc.2024.05.009] [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: 11/12/2023] [Revised: 05/17/2024] [Accepted: 05/29/2024] [Indexed: 06/16/2024]
Abstract
BACKGROUND On-site computed tomography-derived fractional flow reserve (CT-FFR) is a feasible method for examining lesion-specific ischemia, and plaque analysis of coronary CT angiography (CCTA) is useful for predicting future cardiac events. However, their utility and association on a per-vessel level remain unclear. METHODS We analyzed vessels showing 50-90 % stenosis on CCTA where planned revascularization was not performed after CCTA within 90 days. Relevant features, including CT-FFR and the plaque burden [necrotic core to the total plaque volume (% necrotic core), and non-calcified plaque (NCP) to vessel volume (% NCP)] using a novel algorithm for analyzing plaque to predict vessel-oriented composite outcomes (VOCO), including cardiac death, non-fatal myocardial infarction, and unplanned vessel-related revascularization, were assessed. RESULTS In 256 patients (68.7 ± 9.4 years; 73.8 % male) with 354 vessels (10.5 % CT-FFR ≤0.80), VOCO occurred in 24 vessels (6.8 %) during a median follow-up of 3.6 years. Multivariable Cox analysis revealed CT-FFR ≤0.80 had the pronounced impact on VOCO, and moreover, higher % necrotic core and % NCP were independently associated with VOCO [adjusted hazard ratio 3.43 (95 % confidence interval 1.42-8.29) and 4.05 (1.19-13.71), respectively], especially for vessels with CT-FFR >0.80. CONCLUSIONS In vessels without planned revascularization, per-vessel CT-FFR ≤0.80 was the notable predictor of future cardiac events. Additionally, necrotic core volume and NCP were identified as independent predictors along with CT-FFR.
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Affiliation(s)
- Yui O Nozaki
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shinichiro Fujimoto
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
| | - Daigo Takahashi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ayako Kudo
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuko O Kawaguchi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hideyuki Sato
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Radiological Technology, Juntendo University Hospital, Tokyo, Japan
| | - Hikaru Kudo
- Department of Radiological Technology, Juntendo University Hospital, Tokyo, Japan
| | - Kazuhisa Takamura
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Makoto Hiki
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tomotaka Dohi
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Nobuo Tomizawa
- Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kanako K Kumamaru
- Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tohru Minamino
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Japan Agency for Medical Research and Development-Core Research for Evolutionary Medical Science and Technology (AMED-CREST), Japan Agency for Medical Research and Development, Tokyo, Japan
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Mansouri P, Nematipour E, Rajablou N, Ghorashi SM, Azari S, Omidi N. Left anterior descending coronary artery-left circumflex coronary artery bifurcation angle and severity of coronary artery disease; is there any correlation? A cross-sectional study. Health Sci Rep 2024; 7:e2182. [PMID: 38868537 PMCID: PMC11168269 DOI: 10.1002/hsr2.2182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 04/05/2024] [Accepted: 05/16/2024] [Indexed: 06/14/2024] Open
Abstract
Background and Aims The aim of this study is to evaluate the association of coronary computed tomography angiography derived (CCTA) plaque characteristics and the left anterior descending coronary artery (LAD) and left circumflex coronary artery (LCX) bifurcation angle with severity of coronary artery disease (CAD). Methods All the stable patients with suspected CAD who underwent CCTA between January to December 2021 were included. Correlation between CCTA-derived aggregated plaque volume (APV), LAD-LCX angle, remodeling index (RI), coronary calcium score with Gensini score in conventional angiography were assessed. One hundred and twenty-two patients who underwent both CCTA and coronary angiography were analyzed. Results Our analysis showed that the median (percentile 25% to percentile 75%) of the APV, LAD-LCx angle, and calcium score were 31% (17%-47%), 58° (39°-89°), and 31 (0-186), respectively. Also, the mean ± SD of the RI was 1.05 ± 0.20. Significant correlation between LAD-LCx bifurcation angle (0.0001-0.684), APV (0.002-0.281), RI (0.0001-0.438), and calcium score (0.016-0.217) with Gensini score were detected. There was a linear correlation between the mean LAD-LCx bifurcation angle and the Gensini score. The sensitivity and specificity for the cut-off value of 47.5° for the LAD-LCX angle were 86.7% and 82.1%, respectively. Conclusion There is a direct correlation between the LAD-LCx angle and the Gensini score. In addition to plaque characteristics, anatomic-based CCTA-derived indices can be used to identify patients at higher risk for CAD.
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Affiliation(s)
- Pejman Mansouri
- Tehran Heart Center, Cardiovascular Disease Research InstituteTehran University of Medical SciencesTehranIran
| | - Ebrahim Nematipour
- Tehran Heart Center, Cardiovascular Disease Research InstituteTehran University of Medical SciencesTehranIran
| | - Nadia Rajablou
- School of MedicineTehran University of Medical SciencesTehranIran
| | - Seyyed Mojtaba Ghorashi
- Tehran Heart Center, Cardiovascular Disease Research InstituteTehran University of Medical SciencesTehranIran
| | - Samad Azari
- Hospital Management Research Center, Health Management Research InstituteIran University of Medical SciencesTehranIran
- Research Center for Emergency and Disaster ResilienceRed Crescent Society of the Islamic Republic of IranTehranIran
| | - Negar Omidi
- Cardiovascular Imaging Departement, Tehran Heart Center, School of Medicin, Tehran University of Medical SciencesTehran heart centerTehranIran
- Cardiac Primary Prevention Research Center, Cardiovascular Institute, Tehran University of Medical ScienceTehran heart centerTehranIran
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Yoshida K, Tanabe Y, Hosokawa T, Morikawa T, Fukuyama N, Kobayashi Y, Kouchi T, Kawaguchi N, Matsuda M, Kido T, Kido T. Coronary computed tomography angiography for clinical practice. Jpn J Radiol 2024; 42:555-580. [PMID: 38453814 PMCID: PMC11139719 DOI: 10.1007/s11604-024-01543-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/28/2024] [Indexed: 03/09/2024]
Abstract
Coronary artery disease (CAD) is a common condition caused by the accumulation of atherosclerotic plaques. It can be classified into stable CAD or acute coronary syndrome. Coronary computed tomography angiography (CCTA) has a high negative predictive value and is used as the first examination for diagnosing stable CAD, particularly in patients at intermediate-to-high risk. CCTA is also adopted for diagnosing acute coronary syndrome, particularly in patients at low-to-intermediate risk. Myocardial ischemia does not always co-exist with coronary artery stenosis, and the positive predictive value of CCTA for myocardial ischemia is limited. However, CCTA has overcome this limitation with recent technological advancements such as CT perfusion and CT-fractional flow reserve. In addition, CCTA can be used to assess coronary artery plaques. Thus, the indications for CCTA have expanded, leading to an increased demand for radiologists. The CAD reporting and data system (CAD-RADS) 2.0 was recently proposed for standardizing CCTA reporting. This RADS evaluates and categorizes patients based on coronary artery stenosis and the overall amount of coronary artery plaque and links this to patient management. In this review, we aimed to review the major trials and guidelines for CCTA to understand its clinical role. Furthermore, we aimed to introduce the CAD-RADS 2.0 including the assessment of coronary artery stenosis, plaque, and other key findings, and highlight the steps for CCTA reporting. Finally, we aimed to present recent research trends including the perivascular fat attenuation index, artificial intelligence, and the advancements in CT technology.
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Affiliation(s)
- Kazuki Yoshida
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
| | - Takaaki Hosokawa
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Tomoro Morikawa
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Naoki Fukuyama
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yusuke Kobayashi
- Department of Radiology, Matsuyama Red Cross Hospital, Bunkyocho, Matsuyama, Ehime, Japan
| | - Takanori Kouchi
- Department of Radiology, Juzen General Hospital, Kitashinmachi, Niihama, Ehime, Japan
| | - Naoto Kawaguchi
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Megumi Matsuda
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Tomoyuki Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
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Ko B, Ohashi H, Mizukami T, Sakai K, Sonck J, Nørgaard BL, Maeng M, Jensen JM, Ihdayhid A, Tajima A, Ando H, Amano T, De Bruyne B, Koo BK, Otake H, Collet C. Stent sizing by coronary CT angiography compared with optical coherence tomography. J Cardiovasc Comput Tomogr 2024:S1934-5925(24)00061-3. [PMID: 38789325 DOI: 10.1016/j.jcct.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/27/2024] [Accepted: 03/01/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Coronary CT angiography (CCTA) is well-established for diagnosis and stratification of coronary artery disease (CAD). Its usefulness in guiding percutaneous coronary interventions (PCI) and stent sizing is unknown. METHODS This is a sub-analysis of the Precise Percutaneous Coronary Intervention Plan (P3) study (NCT03782688). We analyzed 65 vessels with matched CCTA and pre-PCI optical coherence tomography (OCT) assessment. The CCTA-guided stent size was defined by the mean distal reference lumen diameter rounded up to the nearest stent diameter. The OCT lumen-guided stent size was the mean distal reference lumen diameter rounded to the closest stent diameter. The agreement on stent diameters was determined with Kappa statistics, Passing-Bablok regression analysis, and the Bland-Altman method. RESULTS The distal reference lumen diameter by CCTA and OCT were 2.75 ± 0.53 mm and 2.72 ± 0.55 mm (mean difference 0.06, limits of agreement -0.7 to 0.82). There were no proportional or systematic differences (coefficient A 1.06, 95% CI 0.84 to 1.3 and coefficient B -0.22, 95% CI -0.83 to 0.36) between methods. The agreement between the CCTA and OCT stent size was substantial (Cohen's weighted Kappa 0.74, 95% CI 0.64 to 0.85). Compared to OCT stent diameter, CCTA stent size was concordant in 52.3% of the cases; CCTA overestimated stent size in 20.0% and underestimated in 27.7%. CONCLUSION CCTA accurately assessed the reference vessel diameter used for stent sizing. CCTA-based stent sizing showed a substantial agreement with OCT. CCTA allows for PCI planning and may aid in selecting stent diameter.
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Affiliation(s)
- Brian Ko
- Monash Cardiovascular Research Centre, Monash University and Monash Heart, Monash Health, Clayton, Victoria, Australia
| | - Hirofumi Ohashi
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium; Department of Cardiology, Aichi Medical University, Aichi, Japan
| | - Takuya Mizukami
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium; Division of Clinical Pharmacology, Department of Pharmacology, Showa University, Tokyo, Japan; Department of Cardiovascular Medicine, Gifu Heart Center, Japan
| | - Koshiro Sakai
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium; Department of Medicine, Division of Cardiology, Showa University School of Medicine, Tokyo, Japan
| | - Jeroen Sonck
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium
| | - Bjarne Linde Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Michael Maeng
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark; Department Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | | | - Atomu Tajima
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium; Department of Cardiology, Aichi Medical University, Aichi, Japan
| | - Hirohiko Ando
- Department of Cardiology, Aichi Medical University, Aichi, Japan
| | - Tetsuya Amano
- Department of Cardiology, Aichi Medical University, Aichi, Japan
| | - Bernard De Bruyne
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium; Department of Cardiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Bon-Kwon Koo
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Hiromasa Otake
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Carlos Collet
- Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
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9
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Klüner LV, Chan K, Antoniades C. Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature. Atherosclerosis 2024:117580. [PMID: 38852022 DOI: 10.1016/j.atherosclerosis.2024.117580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 05/03/2024] [Accepted: 05/14/2024] [Indexed: 06/10/2024]
Abstract
With the enormous progress in the field of cardiovascular imaging in recent years, computed tomography (CT) has become readily available to phenotype atherosclerotic coronary artery disease. New analytical methods using artificial intelligence (AI) enable the analysis of complex phenotypic information of atherosclerotic plaques. In particular, deep learning-based approaches using convolutional neural networks (CNNs) facilitate tasks such as lesion detection, segmentation, and classification. New radiotranscriptomic techniques even capture underlying bio-histochemical processes through higher-order structural analysis of voxels on CT images. In the near future, the international large-scale Oxford Risk Factors And Non-invasive Imaging (ORFAN) study will provide a powerful platform for testing and validating prognostic AI-based models. The goal is the transition of these new approaches from research settings into a clinical workflow. In this review, we present an overview of existing AI-based techniques with focus on imaging biomarkers to determine the degree of coronary inflammation, coronary plaques, and the associated risk. Further, current limitations using AI-based approaches as well as the priorities to address these challenges will be discussed. This will pave the way for an AI-enabled risk assessment tool to detect vulnerable atherosclerotic plaques and to guide treatment strategies for patients.
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Affiliation(s)
- Laura Valentina Klüner
- Acute Multidisciplinary Imaging and Interventional Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, United Kingdom
| | - Kenneth Chan
- Acute Multidisciplinary Imaging and Interventional Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, United Kingdom
| | - Charalambos Antoniades
- Acute Multidisciplinary Imaging and Interventional Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, United Kingdom.
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10
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Kitagawa T, Sentani K, Ikegami Y, Takasaki T, Takahashi S, Nakano Y. Relationship Between Clinical Parameters and Histological Features of Epicardial Adipose Tissue and Aortic Valve Calcification Assessed on Computed Tomography. Circ J 2024:CJ-24-0226. [PMID: 38763753 DOI: 10.1253/circj.cj-24-0226] [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] [Indexed: 05/21/2024]
Abstract
BACKGROUND The relationships of the clinical and biological attributes of epicardial adipose tissue (EAT) with aortic valve calcification (AVC) have not been characterized. We evaluated the relationships of the clinical and histological features of EAT with AVC assessed using computed tomography (CT).Methods and Results: We enrolled 43 patients undergoing cardiac CT examination prior to elective cardiac surgery in whom AVC was identified on CT. EAT volume and density, coronary calcium score (CCS), AVC score (AVCS), and coronary atherosclerosis on CT angiography were evaluated in each patient. During cardiac surgery, 2 EAT samples were obtained for immunohistochemistry. The number of CD68- and CD11c-positive macrophages and osteocalcin-positive cells was counted in 6 random high-power fields of EAT sections. EAT density, but not EAT volume normalized to body surface area, was positively correlated with the number of macrophages and osteocalcin-positive cells in EAT. There was a positive correlation between ln(AVCS), but not ln(CCS+1), and the number of macrophages and osteocalcin-positive cells in EAT. Multivariate analysis revealed significant positive correlations for ln(AVCS) with EAT density (β=0.42; P=0.0072) and the number of CD68-positive macrophages (β=0.57; P=0.0022), CD11c-positive macrophages (β=0.62; P=0.0003), and osteocalcin-positive cells (β=0.52; P=0.0021) in EAT. CONCLUSIONS Inflammation and osteogenesis in EAT, reflected by high CT density, are associated with the severity of AVC representing aortic valve degeneration.
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Affiliation(s)
- Toshiro Kitagawa
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Kazuhiro Sentani
- Department of Molecular Pathology, Hiroshima University Institute of Biomedical and Health Sciences
| | - Yuki Ikegami
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Taiichi Takasaki
- Department of Cardiovascular Surgery, Hiroshima University Hospital
| | - Shinya Takahashi
- Department of Cardiovascular Surgery, Hiroshima University Hospital
| | - Yukiko Nakano
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
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11
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Long Y, Guo R, Jin K, An J, Fu P, Lei J, Ma J. Analysis of the perivascular fat attenuation index and quantitative plaque parameters in relation to haemodynamically impaired myocardial ischaemia. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024:10.1007/s10554-024-03122-x. [PMID: 38761288 DOI: 10.1007/s10554-024-03122-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 04/23/2024] [Indexed: 05/20/2024]
Abstract
To investigate the correlation between quantitative plaque parameters, the perivascular fat attenuation index, and myocardial ischaemia caused by haemodynamic impairment. Patients with stable angina who had invasive flow reserve fraction (FFR) assessment and coronary artery computed tomography (CT) angiography were retrospectively enrolled. A total of 138 patients were included in this study, which were categorized into the FFR < 0.75 group (n = 43), 0.75 ≤ FFR ≤ 0.8 group (n = 37), and FFR > 0.8 group (n = 58), depending on the range of FFR values. The perivascular FAI and CTA-derived parameters, including plaque length (PL), total plaque volume (TPV), minimum lumen area (MLA), and narrowest degree (ND), were recorded for the lesions. An FFR < 0.75 was defined as myocardial-specific ischaemia. The relationships between myocardial ischaemia and parameters such as the PL, TPV, MLA, ND, and FAI were analysed using a logistic regression model and receiver operating characteristic (ROC) curves to compare the diagnostic accuracy of various indicators for myocardial ischaemia. The PL, TPV, ND, and FAI were greater in the FFR < 0.75 group than in the grey area group and the FFR > 0.80 group (all p < 0.05). The MLA in the FFR < 0.75 group was lower than that in the grey area group and the FFR > 0.80 group (both P < 0.05). There were no significant differences in the PL, TPV, or ND between the grey area and the FFR > 0.80 group, but there was a significant difference in the FAI. The coronary artery lesions with FFRs ≤ 0.75 had the greatest FAI values. Multivariate analysis revealed that the perivascular FAI and PL density are significant predictors of myocardial ischaemia. The FAI has some predictive value for myocardial ischaemia (AUC = 0.781). After building a combination model using the FAI and plaque length, the predictive power increased (AUC, 0.781 vs. 0.918), and the change was statistically significant (P < 0.001). The combined model of PL + FAI demonstrated great diagnostic efficacy in identifying myocardial ischaemia caused by haemodynamic impairment; the lower the FFR was, the greater the FAI. Thus, the PL + FAI could be a combined measure to securely rule out myocardial ischaemia.
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Affiliation(s)
- Yangfei Long
- Department of Radiology, The Second Affiliated Hospital of Shihezi University, Urumqi, Xinjiang, China
| | - Rui Guo
- Department of Radiology, The Second Affiliated Hospital of Shihezi University, Urumqi, Xinjiang, China
| | - Keyu Jin
- Department of Radiology, The Second Affiliated Hospital of Shihezi University, Urumqi, Xinjiang, China
| | - JiaJia An
- Department of Radiology, The Second Affiliated Hospital of Shihezi University, Urumqi, Xinjiang, China
| | - Penggang Fu
- Department of Radiology, The Second Affiliated Hospital of Shihezi University, Urumqi, Xinjiang, China
| | - Jian Lei
- Department of Radiology, The Second Affiliated Hospital of Shihezi University, Urumqi, Xinjiang, China
| | - Jing Ma
- Department of Radiology, The Second Affiliated Hospital of Shihezi University, Urumqi, Xinjiang, China.
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12
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Manubolu VS, Ichikawa K, Budoff MJ. Innovations in cardiac computed tomography: Imaging in coronary artery disease. Prog Cardiovasc Dis 2024; 84:51-59. [PMID: 38754532 DOI: 10.1016/j.pcad.2024.05.005] [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: 05/13/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
Coronary computed tomography angiography (CCTA) has emerged as a pivotal tool in the non-invasive evaluation of coronary artery disease (CAD). Recent advancements in imaging techniques, quantitative plaque assessment methods, assessment of coronary physiology, and perivascular coronary inflammation have propelled CCTA to the forefront of CAD management, enabling precise risk stratification, disease monitoring, and evaluation of treatment response. However, challenges persist, including the need for cardiovascular outcomes data for therapy modifications based on CCTA findings and the lack of standardized quantitative plaque assessment techniques to establish universal guidelines for treatment strategies. This review explores the current utilization of CCTA in clinical practice, highlighting its clinical impact and discussing challenges and opportunities for future development. By addressing these nuances, CCTA holds promise for revolutionizing coronary imaging and improving CAD management in the years to come. Ultimately, the goal is to provide precise risk stratification, optimize medical therapy, and improve cardiovascular outcomes while ensuring cost-effectiveness for healthcare systems.
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13
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Krishnan S, Aldana-Bitar J, Golub I, Ichikawa K, Shabir A, Bagheri M, Hamidi H, Benzing T, Kianoush S, Budoff MJ. Testosterone therapy and the risk of cardiovascular disease in older, hypogonadal men. Prog Cardiovasc Dis 2024; 84:14-18. [PMID: 38423237 DOI: 10.1016/j.pcad.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 02/25/2024] [Indexed: 03/02/2024]
Abstract
The debate over the cardiovascular (CV) implications of testosterone therapy (TT) have resulted in diverging safety recommendations and clinical guidelines worldwide. This narrative review synthesizes and critically evaluates long-term studies examining the effects of TT within the context of aging, obesity, and endogenous sex hormones on CV disease (CVD) risk to support informed clinical decision-making. Observational studies have variably linked low endogenous testosterone with increased CVD risk, while randomized controlled trials (RCTs) demonstrate that TT yields cardiometabolic benefits without increasing short-term CV risk. The TRAVERSE trial, as the first RCT powered to assess CVD events, did not show increased major adverse cardiac events (MACE) incidence; however, its limitations - specifically the maintenance of testosterone at low-normal levels, a high participant discontinuation rate, and short follow-up - warrant a careful interpretation of its results. Furthermore, findings from the TTrials cardiovascular sub-study, which showed an increase in non-calcified plaque, indicate the need for ongoing research into the long-term CV impact of TT. The decision to initiate TT should consider the current evidence gaps, particularly for older men with known CVD. The CV effects of maintaining physiological testosterone levels through exogenous means remain to be fully explored. Until more definitive evidence is available, clinical practice should prioritize individualized care and informed discussions on the potential CV implications of TT.
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Affiliation(s)
- Srikanth Krishnan
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502.
| | - Jairo Aldana-Bitar
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502
| | - Ilana Golub
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502; David Geffen School of Medicine at University of California Los Angeles, 10833 Le Conte Ave, Los Angeles, CA 90095
| | - Keishi Ichikawa
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502
| | - Ayesha Shabir
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502
| | - Marziyeh Bagheri
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502
| | - Hossein Hamidi
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502
| | - Travis Benzing
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502
| | - Sina Kianoush
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502
| | - Matthew J Budoff
- The Lundquist Institute at Harbor-UCLA, 1124 W Carson St, Torrance, CA 90502.
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14
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Sugane H, Asaumi Y, Ogata S, Kimura M, Kanaya T, Hoshi T, Sato A, Miura H, Tomishima Y, Morita Y, Nakao K, Otsuka F, Kataoka Y, Kawasaki T, Nishimura K, Narula J, Yasuda S, Noguchi T. Evaluation of fractional flow reserve and atherosclerotic plaque characteristics on coronary non-contrast T1-weighted magnetic resonance imaging. Atherosclerosis 2024; 392:117530. [PMID: 38583287 DOI: 10.1016/j.atherosclerosis.2024.117530] [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: 08/11/2023] [Revised: 03/05/2024] [Accepted: 03/22/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND AND AIMS The relationship between high-risk coronary plaque characteristics regardless of the severity of lesion stenosis and myocardial ischemia remains unsettled. High-intensity plaques (HIPs) on non-contrast T1-weighted magnetic resonance imaging (T1WI) have been characterized as high-risk coronary plaques. We sought to elucidate whether the presence of coronary HIPs on T1WI influences fractional flow reserve (FFR) in the distal segment of the vessel. METHODS We retrospectively analyzed 281 vessels in 231 patients with chronic coronary syndrome who underwent invasive FFR measurement and coronary T1WI using a multicenter registry. The plaque-to-myocardial signal intensity ratio (PMR) of the most stenotic lesion was evaluated; a coronary plaque with PMR ≥1.4 was defined as a HIP. RESULTS The median PMR of coronary plaques on T1WI in vessels with FFR ≤0.80 was significantly higher than that of plaques with FFR >0.80 (1.17 [interquartile range (IQR): 0.99-1.44] vs. 0.97 [IQR: 0.85-1.09]; p < 0.001). Multivariable analysis showed that an increase in PMR of the most stenotic segment was associated with lower FFR (beta-coefficient, -0.050; p < 0.001). The presence of coronary HIPs was an independent predictor of FFR ≤0.80 (odds ratio (OR), 6.18; 95% confidence interval (CI), 1.93-19.77; p = 0.002). Even after adjusting for plaque composition characteristics based on computed tomography angiography, the presence of coronary HIPs was an independent predictor of FFR ≤0.80 (OR, 4.48; 95% CI, 1.19-16.80; p = 0.026). CONCLUSIONS Coronary plaques with high PMR are associated with low FFR in the corresponding vessel, indicating that plaque morphology might influence myocardial ischemia severity.
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Affiliation(s)
- Hiroki Sugane
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan; Department of Advanced Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Cardiology, Chikamori Hospital, Kochi-city, Japan
| | - Yasuhide Asaumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan; Department of Advanced Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
| | - Soshiro Ogata
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Michito Kimura
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Tomoaki Kanaya
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan; Department of Cardiovascular Medicine, Dokkyo Medical Univeristy, Mibu, Japan
| | - Tomoya Hoshi
- Department of Cardiovascular Medicine, University of Tsukuba, Tsukuba, Japan
| | - Akira Sato
- Second Department of Internal Medicine, University of Yamanashi, Yamanashi, Japan
| | - Hiroyuki Miura
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yoshiyuki Tomishima
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yoshiaki Morita
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kazuhiro Nakao
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Fumiyuku Otsuka
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yu Kataoka
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | | | - Kunihiro Nishimura
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Jagat Narula
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Satoshi Yasuda
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan; Department of Advanced Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Teruo Noguchi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
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15
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Michaud K, Rotzinger DC, Faouzi M, Grabherr S, Qanadli SD, van der Wal AC, Magnin V. High-risk coronary plaque of sudden cardiac death victims: postmortem CT angiographic features and histopathologic findings. Int J Legal Med 2024:10.1007/s00414-024-03228-w. [PMID: 38594500 DOI: 10.1007/s00414-024-03228-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 03/28/2024] [Indexed: 04/11/2024]
Abstract
High-risk coronary plaques (HRP) are characterized in clinical radiological imaging by the presence of low plaque attenuation, a napkin-ring sign (NRS), spotty calcifications (SC) and a positive remodeling index (RI). To evaluate if these signs are detectable in postmortem imaging by a multi-phase postmortem CT angiography (MPMCTA), a retrospective study of a series of autopsy well-documented coronary plaques related to sudden cardiac death (SCD) was performed. Then correlations between histological and radiological findings were described. Fourty SCD cases due to acute coronary syndrome based on clinical history and confirmed at autopsy were selected (28 men and 12 women, age 53.3 ± 10.9). The culprit lesion was mainly situated in the proximal segments of coronary arteries, in the right coronary artery in 23 cases (57.5%), the left anterior descending artery in 13 cases (32.5%), the circumflex artery in 3 cases (7.5%) and in one case in the left main stem. MPMCTA showed a positive RI (≥ 1.1) in 75% of cases with a mean RI 1.39 ± 0.71. RI values were lower in cases with fibrotic plaques. NRS was observed in 40% of cases, low attenuation plaque in 46.3%, and SC in 48.7% of cases. There were significant correlations of the radiological presence of NRS for fibrolipid composition of the plaque (p-value 0.007), severe intraplaque inflammation (p-value 0.017), severe adventitial inflammation (p-value 0.021) and an increased vasa vasorum (p-value 0.012). A significant correlation (p-value 0.002) was observed between the presence of SC at radiological examination and the presence of punctuate/fragmented calcification at histology. In addition, in 58.3% of cases, plaque enhancement was observed, which correlated with plaque inflammation and the fibrolipid composition of the plaque. The coronary artery calcium score was 314 (± 455). There was a poor agreement between stenosis of the lumen at histology versus radiology. Our study shows that the various radiological signs of HRP can be detected in all plaques by MPMCTA, but individually only to a variable extent; plaque enhancement appeared as a new sign of vulnerability. In the postmortem approach, these radiological markers of HRP, should always be applied in combination, which can be useful for developing a predictive model for diagnosing coronary SCD.
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Affiliation(s)
- Katarzyna Michaud
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Chemin de la Vulliette 4, Lausanne 25, CH - 1000, Switzerland.
| | - David C Rotzinger
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mohamed Faouzi
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Chemin de la Vulliette 4, Lausanne 25, CH - 1000, Switzerland
- Center for Primary Care and Public Health, Division of Biostatistics, Lausanne, Switzerland
| | - Silke Grabherr
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Chemin de la Vulliette 4, Lausanne 25, CH - 1000, Switzerland
| | - Salah D Qanadli
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
- Riviera-Chablais Hospital, Rennaz, 1847, Switzerland
| | - Allard C van der Wal
- Amsterdam UMC, Academic Medical Center, Amsterdam, The Netherlands
- Maastricht University Medical Center (MUMC), Maastricht, The Netherlands
| | - Virginie Magnin
- University Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Chemin de la Vulliette 4, Lausanne 25, CH - 1000, Switzerland
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16
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Kinoshita D, Suzuki K, Usui E, Hada M, Yuki H, Niida T, Minami Y, Lee H, McNulty I, Ako J, Ferencik M, Kakuta T, Jang IK. High-Risk Plaques on Coronary Computed Tomography Angiography: Correlation With Optical Coherence Tomography. JACC Cardiovasc Imaging 2024; 17:382-391. [PMID: 37715773 DOI: 10.1016/j.jcmg.2023.08.005] [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: 05/02/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 09/18/2023]
Abstract
BACKGROUND Although patients with high-risk plaque (HRP) on coronary computed tomography angiography (CTA) are reportedly at increased risk for future cardiovascular events, individual HRP features have not been systematically validated against high-resolution intravascular imaging. OBJECTIVES The aim of this study was to correlate HRP features on CTA with plaque characteristics on optical coherence tomography (OCT). METHODS Patients who underwent both CTA and OCT before coronary intervention were enrolled. Plaques in culprit vessels identified by CTA were evaluated with the use of OCT at the corresponding sites. HRP was defined as a plaque with at least 2 of the following 4 features: positive remodeling (PR), low-attenuation plaque (LAP), napkin-ring sign (NRS), and spotty calcification (SC). Patients were followed for up to 3 years. RESULTS The study included 448 patients, with a median age of 67 years and of whom 357 (79.7%) were male, and 203 (45.3%) presented with acute coronary syndromes. A total of 1,075 lesions were analyzed. All 4 HRP features were associated with thin-cap fibroatheroma. PR was associated with all OCT features of plaque vulnerability, LAP was associated with lipid-rich plaque, macrophage, and cholesterol crystals, NRS was associated with cholesterol crystals, and SC was associated with microvessels. The cumulative incidence of the composite endpoint (target vessel nontarget lesion revascularization and cardiac death) was significantly higher in patients with HRP than in those without HRP (4.7% vs 0.5%; P = 0.010). CONCLUSIONS All 4 HRP features on CTA were associated with features of vulnerability on OCT. (Massachusetts General Hospital and Tsuchiura Kyodo General Hospital Coronary Imaging Collaboration; NCT04523194).
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Affiliation(s)
- Daisuke Kinoshita
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Keishi Suzuki
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Eisuke Usui
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Tsuchiura, Ibaraki, Japan
| | - Masahiro Hada
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Tsuchiura, Ibaraki, Japan
| | - Haruhito Yuki
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Takayuki Niida
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Yoshiyasu Minami
- Department of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan
| | - Hang Lee
- Biostatistics Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Iris McNulty
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Junya Ako
- Department of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - Tsunekazu Kakuta
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Tsuchiura, Ibaraki, Japan.
| | - Ik-Kyung Jang
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Division of Cardiology, Kyung Hee University Hospital, Seoul, South Korea.
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17
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Stone GW, Power DA. Noninvasive Imaging of Vulnerable Plaque: One More Piece of the Puzzle. JACC Cardiovasc Imaging 2024; 17:392-395. [PMID: 37921722 DOI: 10.1016/j.jcmg.2023.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 11/04/2023]
Affiliation(s)
- Gregg W Stone
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
| | - David A Power
- Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
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18
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Provera A, Andreini D, Petersen K, Gallinoro E, Conte E. Artificial intelligence-powered insights into high-risk, non-obstructive coronary atherosclerosis: a case report. Eur Heart J Case Rep 2024; 8:ytae172. [PMID: 38651080 PMCID: PMC11033843 DOI: 10.1093/ehjcr/ytae172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/25/2024]
Abstract
Background Advanced coronary plaque analysis by cardiac computed tomography (CT) has recently emerged as a promising technique for better prognostic stratification. However, this evaluation application in clinical practice is still uncertain. Case summary In the present case, we described the clinical picture of a 44-year-old tennis player with ectopic ventricular beats in which cardiac CT enabled the identification of a non-obstructive but high-risk plaque on proximal left anterior descendent artery. The application of artificial intelligence (AI)-enhanced software enabled to better stratify the patients' risk. The present case describes how early identification of non-obstructive but high-risk coronary plaque evaluated by cardiac CT using AI-enhanced software enabled accurate and personalized risk assessment. Discussion The main clinical message of this case report is that advanced plaque analysis by cardiac CT, especially when performed with AI-based software, may provide important prognostic information leading to a personalized preventive approach. Moreover, AI-based software may contribute to promote a routine evaluation of these important data already included in traditional cardiac CT.
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Affiliation(s)
- Andrea Provera
- Department of Clinical and Biomedical Sciences, University of Milan, Milan, Italy
| | - Daniele Andreini
- Department of Clinical and Biomedical Sciences, University of Milan, Milan, Italy
- Department of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant’Ambrogio, Via Cristina Belgioioso 173, Milan 20157, Italy
| | | | - Emanuele Gallinoro
- Department of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant’Ambrogio, Via Cristina Belgioioso 173, Milan 20157, Italy
| | - Edoardo Conte
- Department of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant’Ambrogio, Via Cristina Belgioioso 173, Milan 20157, Italy
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19
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Miyagawa M, Kojima K, Takahashi K, Nakajima Y, Migita S, Mizobuchi S, Tanaka Y, Fukumoto K, Arai R, Morikawa T, Mineki T, Murata N, Sudo M, Fukamachi D, Okumura Y. Association Between Aortic Wall Parameters on Multidetector Computed Tomography and Ruptured Plaques By Nonobstructive General Angioscopy. J Am Heart Assoc 2024; 13:e033233. [PMID: 38497463 PMCID: PMC11010013 DOI: 10.1161/jaha.123.033233] [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: 10/23/2023] [Accepted: 02/20/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Nonobstructive general angioscopy (NOGA) can identify vulnerable plaques in the aortic lumen that serve as potential risk factors for cardiovascular events such as embolism. However, the association between computed tomography (CT) images and vulnerable plaques detected on NOGA remains unknown. METHODS AND RESULTS We investigated 101 patients (67±11 years; women, 13.8%) who underwent NOGA and contrast-enhanced CT before or after 90 days in our hospital. On CT images, the aortic wall thickness, aortic wall area (AWA), and AWA in the vascular area were measured at the thickest point from the 6th to the 12th thoracic vertebral levels. Furthermore, the association between these measurements and the presence or absence of NOGA-derived aortic plaque ruptures (PRs) at the same vertebral level was assessed. NOGA detected aortic PRs in the aortic lumens at 145 (22.1%) of the 656 vertebral levels. The presence of PRs was significantly associated with greater aortic wall thickness (3.3±1.7 mm versus 2.1±1.2 mm), AWA (1.33±0.68 cm2 versus 0.89±0.49 cm2), and AWA in the vascular area (23.2%±9.3% versus 17.2%±7.6%) (P<0.001 for all) on the CT scans compared with the absence of PRs. The frequency of PRs significantly increased as the aortic wall thickness increased. Notably, a few NOGA-derived PRs were detected on CT in near-normal intima. CONCLUSIONS The presence of NOGA-derived PRs was strongly associated with increased aortic wall thickness, AWA, and AWA in the vascular area, measured using CT. NOGA can detect PRs in the intima that appear almost normal on CT scans.
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Affiliation(s)
- Masatsugu Miyagawa
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Keisuke Kojima
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Kurara Takahashi
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Yuki Nakajima
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Shohei Migita
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Saki Mizobuchi
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Yudai Tanaka
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Katsunori Fukumoto
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Riku Arai
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Tomoyuki Morikawa
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Takashi Mineki
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Nobuhiro Murata
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Mitsumasa Sudo
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Daisuke Fukamachi
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
| | - Yasuo Okumura
- Division of Cardiology, Department of MedicineNihon University School of MedicineTokyoJapan
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20
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Warren J, Ellims A, Bloom J, Sutherland N, Lew P, Kavnoudias H, Paleri S, Stub D, Taylor A. Mixed plaque on coronary CT angiography predicts atherosclerotic events in asymptomatic intermediate-risk individuals. Open Heart 2024; 11:e002609. [PMID: 38458771 DOI: 10.1136/openhrt-2024-002609] [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: 01/22/2024] [Accepted: 01/26/2024] [Indexed: 03/10/2024] Open
Abstract
OBJECTIVE Coronary CT angiography (CCTA) permits both qualitative and quantitative analysis of atherosclerotic plaque and may be a suitable risk modifier in assessing patients at intermediate risk of atherosclerotic cardiovascular disease. We sought to determine the association of plaque components with long-term major adverse cardiovascular events (MACEs) in asymptomatic intermediate-risk patients, compared with conventional coronary artery calcium (CAC) score. METHODS 100 intermediate-risk patients underwent double-blinded CCTA. Follow-up was conducted at 10 years and data were cross-referenced with the National Death Index. The primary outcome was MACE, which was a composite of death, acute coronary syndrome (ACS), revascularisation and stroke. RESULTS The median time from CCTA to follow-up was 9.5 years. 83 patients completed follow-up interview and mortality data were available on all 100 patients. MACE occurred in 17 (20.5%) patients, which included 2 (2%) deaths, 8 (10%) ACS, 3 (4%) strokes and 5 (6%) revascularisation procedures. 47 (57%) patients had mixed plaque, which was predictive of MACE (OR 4.68 (95% CI 1.19 to 18.5) p=0.028). The burden of non-calcified and mixed plaque, defined by non-calcified plaque segment stenosis score, was also a predictor of long-term MACE (OR 1.59 (95% CI 1.18 to 2.13) p=0.002). Neither calcified plaque (OR 3.92 (95% CI 0.80 to 19.3)) nor CAC score (OR 1.01 (95% CI 0.999 to 1.02)) was associated with long-term MACE. CONCLUSION The presence and burden of mixed plaque on CCTA is associated with an increased risk of long-term MACE among asymptomatic intermediate-risk patients and is a superior predictor to CAC score.
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Affiliation(s)
- Josephine Warren
- Department of Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Andris Ellims
- Department of Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jason Bloom
- Department of Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Nigel Sutherland
- Department of Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Philip Lew
- Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Helen Kavnoudias
- Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Neuroscience and Surgery, Monash University, Clayton, Victoria, Australia
| | - Sarang Paleri
- Department of Cardiology, Royal Hobart Hospital, Hobart, Tasmania, Australia
| | - Dion Stub
- Department of Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
| | - Andrew Taylor
- Department of Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
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21
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Sato Y, Motoyama S, Miyajima K, Kawai H, Sarai M, Muramatsu T, Takahashi H, Naruse H, Ahmadi A, Ozaki Y, Izawa H, Narula J. Clinical Outcomes Based on Coronary Computed Tomography-Derived Fractional Flow Reserve and Plaque Characterization. JACC Cardiovasc Imaging 2024; 17:284-297. [PMID: 37768240 DOI: 10.1016/j.jcmg.2023.07.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Coronary computed tomography angiography (CTA) followed by computed tomography angiography-derived fractional flow reserve (FFRCT) is now commonly used for the management of chronic coronary syndrome (CCS). CTA-verified high-risk plaque (HRP) characteristics have also been reported to be associated with a greater likelihood of adverse cardiac events but have not been used for management decisions. OBJECTIVES The aim of this study was to evaluate clinical outcomes based on a combination of point-of-care computed tomography angiography-derived fractional flow reserve (POC-FFRCT) and the presence of HRP in CCS patients initially treated medically or with revascularization based on invasive coronary angiography findings. METHODS CTA was performed as the initial test in 5,483 patients presenting with CCS between September 2015 and December 2020 followed by invasive coronary angiography and revascularization as necessary. POC-FFRCT assessment and HRP characterization were obtained subsequently in 745 consecutive patients. We investigated how HRP and POC-FFRCT, which were not available during the original clinical decision making, correlated with the endpoint defined as a composite of cardiac death, acute coronary syndrome, and a need for unplanned revascularization. RESULTS Cardiac events occurred in 20 patients (2.7%) during a median follow-up of 744 days. The event rate was significantly higher in patients with POC-FFRCT <0.80 compared with POC-FFRCT ≥0.8 (5.4 vs 0.5 per 100 vessel years; log-rank P < 0.0001) and in patients with HRP compared to those without HRP (3.6 vs 0.8 per 100 vessel years; log-rank P = 0.0001). POC-FFRCT <0.80 and the presence of HRP were the independent predictors of cardiac events (HR: 16.67; 95% CI: 2.63-105.39; P = 0.002) compared with POC-FFRCT ≥0.8 and absent HRP. For the vessels with POC-FFRCT <0.80 and HRP, a significantly higher rate of adverse events was observed in patients who did not undergo revascularization compared with those revascularized (16.4 vs 1.4 per 100 vessel years; log-rank P = 0.006). CONCLUSIONS POC-FFRCT <0.80 and the presence of HRP were the independent predictors of cardiac events, and revascularization of HRP lesions with abnormal POC-FFRCT was associated with a lower event rate.
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Affiliation(s)
- Yoshihiro Sato
- Department of Cardiology, Fujita Health University, Aichi, Japan
| | - Sadako Motoyama
- Department of Cardiology, Fujita Health University, Aichi, Japan.
| | - Keiichi Miyajima
- Department of Cardiology, Fujita Health University, Aichi, Japan
| | - Hideki Kawai
- Department of Cardiology, Fujita Health University, Aichi, Japan
| | - Masayoshi Sarai
- Department of Cardiology, Fujita Health University, Aichi, Japan
| | | | | | - Hiroyuki Naruse
- Department of Cardiology, Fujita Health University, Aichi, Japan
| | - Amir Ahmadi
- Department of Medicine, Ichan School of Medicine at Mount Sinai, New York, New York, USA
| | - Yukio Ozaki
- Department of Cardiology, Fujita Health University, Aichi, Japan
| | - Hideo Izawa
- Department of Cardiology, Fujita Health University, Aichi, Japan
| | - Jagat Narula
- University of Texas Health Sciences Center, Houston, Texas, USA
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22
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Cundari G, Marchitelli L, Pambianchi G, Catapano F, Conia L, Stancanelli G, Catalano C, Galea N. Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment. LA RADIOLOGIA MEDICA 2024; 129:380-400. [PMID: 38319493 PMCID: PMC10942914 DOI: 10.1007/s11547-024-01771-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 01/03/2024] [Indexed: 02/07/2024]
Abstract
Cardiac computed tomography angiography (CCTA) is considered the standard non-invasive tool to rule-out obstructive coronary artery disease (CAD). Moreover, several imaging biomarkers have been developed on cardiac-CT imaging to assess global CAD severity and atherosclerotic burden, including coronary calcium scoring, the segment involvement score, segment stenosis score and the Leaman-score. Myocardial perfusion imaging enables the diagnosis of myocardial ischemia and microvascular damage, and the CT-based fractional flow reserve quantification allows to evaluate non-invasively hemodynamic impact of the coronary stenosis. The texture and density of the epicardial and perivascular adipose tissue, the hypodense plaque burden, the radiomic phenotyping of coronary plaques or the fat radiomic profile are novel CT imaging features emerging as biomarkers of inflammation and plaque instability, which may implement the risk stratification strategies. The ability to perform myocardial tissue characterization by extracellular volume fraction and radiomic features appears promising in predicting arrhythmogenic risk and cardiovascular events. New imaging biomarkers are expanding the potential of cardiac CT for phenotyping the individual profile of CAD involvement and opening new frontiers for the practice of more personalized medicine.
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Affiliation(s)
- Giulia Cundari
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Livia Marchitelli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Giacomo Pambianchi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Federica Catapano
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, 4, Pieve Emanuele, 20090, Milano, Italy
- Humanitas Research Hospital IRCCS, Via Alessandro Manzoni, 56, Rozzano, 20089, Milano, Italy
| | - Luca Conia
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Giuseppe Stancanelli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Nicola Galea
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
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23
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de Knegt MC, Linde JJ, Sigvardsen PE, Engstrøm T, Fuchs A, Jensen AK, Elming H, Kühl JT, Hansen PR, Høfsten DE, Kelbæk H, Nordestgaard BG, Hove JD, Køber LV, Kofoed KF. The importance of nonobstructive plaque characteristics in symptomatic and asymptomatic coronary artery disease. J Cardiovasc Comput Tomogr 2024; 18:203-210. [PMID: 38320905 DOI: 10.1016/j.jcct.2024.01.014] [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: 10/09/2023] [Revised: 12/08/2023] [Accepted: 01/23/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND We examined obstructive and nonobstructive plaque volumes in populations with subclinical and clinically manifested coronary artery disease (CAD) using quantitative computed tomography (QCT). METHODS 855 participants with CAD (274 asymptomatic individuals, 254 acute chest pain patients without acute coronary syndrome (ACS), and 327 patients with ACS) underwent QCT of proximal coronary segments to assess participant-level plaque volumes of dense calcium, fibrous, fibrofatty, and necrotic core tissue. RESULTS Nonobstructive (<50% stenosis) plaque volumes were greater than obstructive plaque volumes, irrespective of population (all p<0.0001): Asymptomatic individuals (mean (95% CI)): 218 [190-250] vs. 16 [12-22] mm3; acute chest pain patients without ACS: 300 [263-341] vs. 51 [41-62] mm3; patients with ACS: 370 [332-412] vs. 159 [139-182] mm3. After multivariable adjustment, nonobstructive fibrous and fibrofatty tissue volumes were greater in acute chest pain patients without ACS compared to asymptomatic individuals (fibrous tissue: 122 [107-139] vs. 175 [155-197] mm3, p<0.01; fibrofatty tissue: 44 [38-50] vs. 71 [63-80] mm3, p<0.01. Necrotic core tissue was greater in ACS patients (29 [26-33] mm3) compared to both asymptomatic individuals (15 [13-18] mm3, p<0.0001) and acute chest pain patients without ACS (21 [18-24] mm3, p<0.05). Nonobstructive dense calcium volumes did not differ between the three populations: 29 [24-36], 29 [23-35], and 41 [34-48] mm3, p>0.3 respectively. CONCLUSION Nonobstructive CAD was the predominant contributor to total atherosclerotic plaque volume in both subclinical and clinically manifested CAD. Nonobstructive fibrous, fibrofatty and necrotic core tissue volumes increased with worsening clinical presentation, while nonobstructive dense calcium tissue volumes did not.
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Affiliation(s)
- Martina C de Knegt
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jesper J Linde
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Per E Sigvardsen
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Engstrøm
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Andreas Fuchs
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Andreas K Jensen
- Section of Biostatistics, Institute of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Hanne Elming
- Department of Cardiology, Zealand University Hospital, Roskilde, Denmark
| | - J Tobias Kühl
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Peter R Hansen
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Dan E Høfsten
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Henning Kelbæk
- Department of Cardiology, Zealand University Hospital, Roskilde, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Jens D Hove
- Department of Cardiology, Amager and Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark; Center of Functional Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark
| | - Lars V Køber
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Klaus F Kofoed
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Radiology, The Diagnostic Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
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24
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Tsugu T, Tanaka K, Belsack D, Nagatomo Y, Tsugu M, Argacha JF, Cosyns B, Buls N, De Maeseneer M, De Mey J. Impact of vessel morphology on CT-derived fractional-flow-reserve in non-obstructive coronary artery disease in right coronary artery. Eur Radiol 2024; 34:1836-1845. [PMID: 37658136 PMCID: PMC10873436 DOI: 10.1007/s00330-023-09972-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 05/16/2023] [Accepted: 05/28/2023] [Indexed: 09/03/2023]
Abstract
OBJECTIVES Computed tomography (CT)-derived fractional flow reserve (FFRCT) decreases continuously from proximal to distal segments of the vessel due to the influence of various factors even in non-obstructive coronary artery disease (NOCAD). It is known that FFRCT is dependent on vessel-length, but the relationship with other vessel morphologies remains to be explained. PURPOSE To investigate morphological aspects of the vessels that influence FFRCT in NOCAD in the right coronary artery (RCA). METHODS A total of 443 patients who underwent both FFRCT and invasive coronary angiography, with < 50% RCA stenosis, were evaluated. Enrolled RCA vessels were classified into two groups according to distal FFRCT: FFRCT ≤ 0.80 (n = 60) and FFRCT > 0.80 (n = 383). Vessel morphology (vessel length, lumen diameter, lumen volume, and plaque volume) and left-ventricular mass were assessed. The ratio of lumen volume and vessel length was defined as V/L ratio. RESULTS Whereas vessel-length was almost the same between FFRCT ≤ 0.80 and > 0.80, lumen volume and V/L ratio were significantly lower in FFRCT ≤ 0.80. Distal FFRCT correlated with plaque-related parameters (low-attenuation plaque, intermediate-attenuation plaque, and calcified plaque) and vessel-related parameters (proximal and distal vessel diameter, vessel length, lumen volume, and V/L ratio). Among all vessel-related parameters, V/L ratio showed the highest correlation with distal FFRCT (r = 0.61, p < 0.0001). Multivariable analysis showed that calcified plaque volume was the strongest predictor of distal FFRCT, followed by V/L ratio (β-coefficient = 0.48, p = 0.03). V/L ratio was the strongest predictor of a distal FFRCT ≤ 0.80 (cut-off 8.1 mm3/mm, AUC 0.88, sensitivity 90.0%, specificity 76.7%, 95% CI 0.84-0.93, p < 0.0001). CONCLUSIONS Our study suggests that V/L ratio can be a measure to predict subclinical coronary perfusion disturbance. CLINICAL RELEVANCE STATEMENT A novel marker of the ratio of lumen volume to vessel length (V/L ratio) is the strongest predictor of a distal CT-derived fractional flow reserve (FFRCT) and may have the potential to improve the diagnostic accuracy of FFRCT. KEY POINTS • Physiological FFRCT decline depends not only on vessel length but also on the lumen volume in non-obstructive coronary artery disease in the right coronary artery. • FFRCT correlates with plaque-related parameters (low-attenuation plaque, intermediate-attenuation plaque, and calcified plaque) and vessel-related parameters (proximal and distal vessel diameter, vessel length, lumen volume, and V/L ratio). • Of vessel-related parameters, V/L ratio is the strongest predictor of a distal FFRCT and an optimal cut-off value of 8.1 mm3/mm.
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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
| | - Dries Belsack
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Jette, Brussels, Belgium
| | - Yuji Nagatomo
- Department of Cardiology, National Defense Medical College Hospital, Tokorozawa, Japan
| | - Mayuko Tsugu
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Jette, 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
| | - Nico Buls
- Department of Radiology, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Jette, 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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25
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Yu M, Gu J, Shi HS, Zhu ZF, Yang F, Yuan YF, Shuai XX, Wei YM, Cheng M, Yuan J, Xie T, Yang Y, Li DZ, Zhang M, Lu YX, Yang M, Zhou YC, Cheng X. No evidence of coronary plaque stabilization by allopurinol in patients with acute coronary syndrome. J Cardiovasc Comput Tomogr 2024; 18:195-202. [PMID: 38267335 DOI: 10.1016/j.jcct.2024.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND Allopurinol, a xanthine inhibitor that lowers uric acid concentration, has been proven to reduce inflammation and oxidative stress in patients with cardiovascular disease. However, it is unknown whether these beneficial effects translate into favorable plaque modification in acute coronary syndromes (ACS). This study aimed to investigate whether allopurinol could improve coronary plaque stabilization using coronary computed tomography angiography (CCTA). METHODS This was a prospective, single-center, randomized, double-blind clinical trial began in March 2019. A total of 162 ACS patients aged 18-80 years with a blood level of high-sensitivity C-reactive protein (hsCRP) > 2 mg/L were included. The subjects were randomly assigned in a 1:1 ratio to receive either allopurinol sustained-release capsules (at a dose of 0.25 g once daily) or placebo for 12 months. The plaque analysis was performed at CCTA. The primary efficacy endpoint was the change in low-attenuation plaque volume (LAPV) from baseline to the 12-month follow-up. RESULTS Among 162 patients, 54 in allopurinol group and 51 in placebo group completed the study. The median follow-up duration was 14 months in both groups. Compared with placebo, allopurinol therapy did not significantly alter LAPV (-13.4 ± 3.7 % vs. -17.8 ± 3.6 %, p = 0.390), intermediate attenuation plaque volume (-16.1 ± 3.0 % vs. -16.2 ± 2.9 %, p = 0.992), dense calcified plaque volume (12.2 ± 13.7 % vs. 9.7 ± 13.0 %, p = 0.894), total atheroma volume (-15.2 ± 3.2 % vs. -16.4 ± 3.1 %, p = 0.785), remodeling index (2.0 ± 3.9 % vs. 5.4 ± 3.8 %, p = 0.536) or hsCRP levels (-73.6 [-91.6-17.9] % vs. -81.2 [-95.4-47.7] %, p = 0.286). CONCLUSIONS Our findings suggest that allopurinol does not improve atherosclerotic plaque stability or inflammation in ACS.
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Affiliation(s)
- Miao Yu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Jin Gu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Province Key Laboratory of Molecular Imaging, China
| | - He-Shui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Province Key Laboratory of Molecular Imaging, China
| | - Zheng-Feng Zhu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Fen Yang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Yuan-Fan Yuan
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Xin-Xin Shuai
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Yu-Miao Wei
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Min Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Jing Yuan
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Tian Xie
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Yong Yang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Da-Zhu Li
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Min Zhang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Yong-Xin Lu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Ming Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Province Key Laboratory of Molecular Imaging, China
| | - You-Cai Zhou
- Heilongjiang Aolida Ned Pharmaceutical Co.Ltd, China
| | - Xiang Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China; Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China.
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Leipsic JA, Chandrashekhar Y. Novel Analytics for Coronary CT Angiography: Advancing Our Understanding of Risk and Mechanisms of MI. JACC Cardiovasc Imaging 2024; 17:345-347. [PMID: 38448132 DOI: 10.1016/j.jcmg.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
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Lis P, Rajzer M, Klima Ł. The Significance of Coronary Artery Calcification for Percutaneous Coronary Interventions. Healthcare (Basel) 2024; 12:520. [PMID: 38470631 PMCID: PMC10931248 DOI: 10.3390/healthcare12050520] [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: 01/09/2024] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024] Open
Abstract
The prevalence of calcium deposits in coronary arteries grows with age. Risk factors include, e.g., diabetes and chronic kidney disease. There are several underlying pathophysiological mechanisms of calcium deposition. Severe calcification increases the complexity of percutaneous coronary interventions. Invasive techniques to modify the calcified atherosclerotic plaque before stenting have been developed over the last years. They include balloon- and non-balloon-based techniques. Rotational atherectomy has been the most common technique to treat calcified lesions but new techniques are emerging (orbital atherectomy, intravascular lithotripsy, laser atherectomy). The use of intravascular imaging (intravascular ultrasound and optical coherence tomography) is especially important during the procedures in order to choose the optimal strategy and to assess the final effect of the procedure. This review provides an overview of the role of coronary calcification for percutaneous coronary interventions.
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Affiliation(s)
| | | | - Łukasz Klima
- 1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Jagiellonian University Medical College, 30-688 Kraków, Poland; (P.L.); (M.R.)
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28
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Wang M, Qin L, Bao W, Xu Z, Han L, Yan F, Yang W. Epicardial and pericoronary adipose tissue and coronary plaque burden in patients with Cushing's syndrome: a propensity score-matched study. J Endocrinol Invest 2024:10.1007/s40618-023-02295-x. [PMID: 38308163 DOI: 10.1007/s40618-023-02295-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 12/28/2023] [Indexed: 02/04/2024]
Abstract
PURPOSE To assess coronary inflammation by measuring the volume and density of the epicardial adipose tissue (EAT), perivascular fat attenuation index (FAI) and coronary plaque burden in patients with Cushing's syndrome (CS) based on coronary computed tomography angiography (CCTA). METHODS This study included 29 patients with CS and 58 matched patients without CS who underwent CCTA. The EAT volume, EAT density, FAI and coronary plaque burden were measured. The high-risk plaque (HRP) was also evaluated. CS duration from diagnosis, 24-h urinary free cortisol (UFC), and abdominal visceral adipose tissue volume (VAT) of CS patients were recorded. RESULTS The CS group had higher EAT volume (146.9 [115.4, 184.2] vs. 119.6 [69.0, 147.1] mL, P = 0.006), lower EAT density (- 78.79 ± 5.89 vs. - 75.98 ± 6.03 HU, P = 0.042), lower FAI (- 84.0 ± 8.92 vs. - 79.40 ± 10.04 HU, P = 0.038), higher total plaque volume (88.81 [36.26, 522.5] vs. 44.45 [0, 198.16] mL, P = 0.010) and more HRP plaques (7.3% vs. 1.8%, P = 0.026) than the controls. The multivariate analysis suggested that CS itself (β [95% CI], 29.233 [10.436, 48.03], P = 0.014), CS duration (β [95% CI], 0.176 [0.185, 4.242], P = 0.033), and UFC (β [95% CI], 0.197 [1.803, 19.719], P = 0.019) were strongly associated with EAT volume but not EAT density, and EAT volume (β [95% CI] - 0.037[- 0.058, - 0.016], P = 0.001) not CS was strongly associated with EAT density. EAT volume, FAI and plaque burden increased (all P < 0.05) in 6 CS patients with follow-up CCTA. The EAT volume had a moderate correlation with abdominal VAT volume (r = 0.526, P = 0.008) in CS patients. CONCLUSIONS Patients with CS have higher EAT volume and coronary plaque burden but less inflammation as detected by EAT density and FAI. The EAT density is associated with EAT volume but not CS itself.
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Affiliation(s)
- M Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 200025, China
| | - L Qin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 200025, China
| | - W Bao
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 200025, China
| | - Z Xu
- Siemens Healthineers CT Collaboration, Shanghai, China
| | - L Han
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 200025, China
| | - F Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 200025, China
| | - W Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 200025, China.
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Lima MR, Lopes PM, Ferreira AM. Use of coronary artery calcium score and coronary CT angiography to guide cardiovascular prevention and treatment. Ther Adv Cardiovasc Dis 2024; 18:17539447241249650. [PMID: 38708947 PMCID: PMC11075618 DOI: 10.1177/17539447241249650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 03/08/2024] [Indexed: 05/07/2024] Open
Abstract
Currently, cardiovascular risk stratification to guide preventive therapy relies on clinical scores based on cardiovascular risk factors. However, the discriminative power of these scores is relatively modest. The use of coronary artery calcium score (CACS) and coronary CT angiography (CCTA) has surfaced as methods for enhancing the estimation of risk and potentially providing insights for personalized treatment in individual patients. CACS improves overall cardiovascular risk prediction and may be used to improve the yield of statin therapy in primary prevention, and possibly identify patients with a favorable risk/benefit relationship for antiplatelet therapies. CCTA holds promise to guide anti-atherosclerotic therapies and to monitor individual response to these treatments by assessing individual plaque features, quantifying total plaque volume and composition, and assessing peri-coronary adipose tissue. In this review, we aim to summarize current evidence regarding the use of CACS and CCTA for guiding lipid-lowering and antiplatelet therapy and discuss the possibility of using plaque burden and plaque phenotyping to monitor response to anti-atherosclerotic therapies.
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Affiliation(s)
- Maria Rita Lima
- Department of Cardiology, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, Carnaxide, Lisbon 2790-134, Portugal
| | - Pedro M. Lopes
- Department of Cardiology, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Carnaxide, Portugal
| | - António M. Ferreira
- Department of Cardiology, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Carnaxide, Portugal
- UNICA – Cardiovascular CT and MR Unit, Hospital da Luz, Lisbon, Portugal
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30
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Vecsey-Nagy M, Kolossváry M, Varga-Szemes A, Boussoussou M, Vattay B, Nagy M, Juhász D, Merkely B, Radovits T, Szilveszter B. Low-attenuation coronary plaque burden and troponin release in chronic coronary syndrome: A mediation analysis. J Cardiovasc Comput Tomogr 2024; 18:18-25. [PMID: 37867127 DOI: 10.1016/j.jcct.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/01/2023] [Accepted: 10/16/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Coronary low-attenuation plaque (LAP) burden is a strong predictor of myocardial infarction in patients with stable chest pain. We aimed to assess the relationship between LAP burden and circulating levels of high-sensitivity cardiac troponin T (hs-cTnT), and to explore the potential underlying etiology in patients undergoing clinically indicated coronary CT angiography (CCTA). METHODS A comprehensive metabolic and lipid panel, as well as C-reactive protein (CRP) and hs-cTnT tests were obtained from consecutive patients with stable chest pain at the time of CCTA. Qualitative and quantitative coronary plaque analysis, CT-derived fractional flow reserve (FFR) calculation, and pericoronary adipose tissue (PCAT) attenuation measurement around the right coronary artery were performed on CCTA images. Linear regression analyses were performed to identify independent associations with hs-cTnT concentration and mediation analysis was used to assess whether ischemia or markers of inflammation mediate hs-cTnT elevation. RESULTS In total, 114 patients (56.3 ± 10.6 years, 44.7 % female) were enrolled. In multivariable analysis, age (β = 0.04 [95%CI: 0.02; 0.06], p < 0.001), female sex (β = -0.77 [95%CI: -1.20; 0.33], p < 0.001), and LAP burden (β = 0.03 [95%CI: 0.001; 0.06], p = 0.04) were independently associated with hs-cTnT levels. Mediation analysis, on the other hand, did not identify a significant mediating effect of lesion-specific ischemia based on CT-FFR, circulating CRP levels, or PCAT values between LAP burden and hs-cTnT levels (all p > 0.05). CONCLUSION Although ischemia and inflammation have previously been proposed to mediate the association between LAP burden and hs-cTnT levels, our results did not confirm the role of these pathophysiological pathways in patients with stable chest pain.
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Affiliation(s)
- Milán Vecsey-Nagy
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
| | - Márton Kolossváry
- Gottsegen National Cardiovascular Center, Budapest, Hungary; Physiological Controls Research Center, Budapest, Hungary
| | - Akos Varga-Szemes
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | | | - Borbála Vattay
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Martin Nagy
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Dénes Juhász
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Béla Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Tamás Radovits
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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31
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Omori H, Matsuo H, Fujimoto S, Sobue Y, Nozaki Y, Nakazawa G, Takahashi K, Osawa K, Okubo R, Kaneko U, Sato H, Kajiya T, Miyoshi T, Ichikawa K, Abe M, Kitagawa T, Ikenaga H, Saji M, Iguchi N, Ijichi T, Mikamo H, Kurata A, Moroi M, Iijima R, Malkasian S, Crabtree T, Min JK, Earls JP, Nakanishi R. Determination of lipid-rich plaques by artificial intelligence-enabled quantitative computed tomography using near-infrared spectroscopy as reference. Atherosclerosis 2023; 386:117363. [PMID: 37944269 DOI: 10.1016/j.atherosclerosis.2023.117363] [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: 07/09/2023] [Revised: 10/08/2023] [Accepted: 10/19/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND AND AIMS Artificial intelligence quantitative CT (AI-QCT) determines coronary plaque morphology with high efficiency and accuracy. Yet, its performance to quantify lipid-rich plaque remains unclear. This study investigated the performance of AI-QCT for the detection of low-density noncalcified plaque (LD-NCP) using near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS). METHODS The INVICTUS Registry is a multi-center registry enrolling patients undergoing clinically indicated coronary CT angiography and IVUS, NIRS-IVUS, or optical coherence tomography. We assessed the performance of various Hounsfield unit (HU) and volume thresholds of LD-NCP using maxLCBI4mm ≥ 400 as the reference standard and the correlation of the vessel area, lumen area, plaque burden, and lesion length between AI-QCT and IVUS. RESULTS This study included 133 atherosclerotic plaques from 47 patients who underwent coronary CT angiography and NIRS-IVUS The area under the curve of LD-NCP<30HU was 0.97 (95% confidence interval [CI]: 0.93-1.00] with an optimal volume threshold of 2.30 mm3. Accuracy, sensitivity, and specificity were 94% (95% CI: 88-96%], 93% (95% CI: 76-98%), and 94% (95% CI: 88-98%), respectively, using <30 HU and 2.3 mm3, versus 42%, 100%, and 27% using <30 HU and >0 mm3 volume of LD-NCP (p < 0.001 for accuracy and specificity). AI-QCT strongly correlated with IVUS measurements; vessel area (r2 = 0.87), lumen area (r2 = 0.87), plaque burden (r2 = 0.78) and lesion length (r2 = 0.88), respectively. CONCLUSIONS AI-QCT demonstrated excellent diagnostic performance in detecting significant LD-NCP using maxLCBI4mm ≥ 400 as the reference standard. Additionally, vessel area, lumen area, plaque burden, and lesion length derived from AI-QCT strongly correlated with respective IVUS measurements.
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Affiliation(s)
- Hiroyuki Omori
- Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan
| | - Hitoshi Matsuo
- Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan
| | - Shinichiro Fujimoto
- Department of Cardiovascular Biology and Medicine, Juntendo University, Graduate School of Medicine, Tokyo, Japan
| | - Yoshihiro Sobue
- Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan
| | - Yui Nozaki
- Department of Cardiovascular Biology and Medicine, Juntendo University, Graduate School of Medicine, Tokyo, Japan
| | - Gaku Nakazawa
- Department of Cardiology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kuniaki Takahashi
- Department of Cardiology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kazuhiro Osawa
- Department of General Internal Medicine 3, Kawasaki Medical School General Medical Center, Okayama Red-Cross Hospital, Okayama, Japan
| | - Ryo Okubo
- Toho University Omori Medical Center, Tokyo, Japan
| | | | - Hideyuki Sato
- Edogawa Hospital Tokyo, Japan; Department of Radiological Technology, Juntendo University Hospital, Tokyo, Japan
| | | | - Toru Miyoshi
- Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan
| | - Keishi Ichikawa
- Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan
| | | | - Toshiro Kitagawa
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Hiroki Ikenaga
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Mike Saji
- Toho University Omori Medical Center, Tokyo, Japan; Department of Cardiology, Sakakibara Heart Institute, Tokyo, Japan
| | - Nobuo Iguchi
- Department of Cardiology, Sakakibara Heart Institute, Tokyo, Japan
| | - Takeshi Ijichi
- Department of Cardiology, Tokai University, School of Medicine, Kanagawa, Japan
| | - Hiroshi Mikamo
- Department of Cardiology, Toho University Sakura Medical Center, Chiba, Japan
| | - Akira Kurata
- Department of Cardiology, Shikoku Cancer Center, Department of Radiology, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Masao Moroi
- Department of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
| | - Raisuke Iijima
- Department of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan
| | | | | | | | - James P Earls
- Cleerly Inc., CO, USA; George Washington University School of Medicine and Health Sciences, Washington, DC, USA
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32
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Chow BJ, Galiwango P, Poulin A, Raggi P, Small G, Juneau D, Kazmi M, Ayach B, Beanlands RS, Sanfilippo AJ, Chow CM, Paterson DI, Chetrit M, Jassal DS, Connelly K, Larose E, Bishop H, Kass M, Anderson TJ, Haddad H, Mancini J, Doucet K, Daigle JS, Ahmadi A, Leipsic J, Lim SP, McRae A, Chou AY. Chest Pain Evaluation: Diagnostic Testing. CJC Open 2023; 5:891-903. [PMID: 38204849 PMCID: PMC10774086 DOI: 10.1016/j.cjco.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/01/2023] [Indexed: 01/12/2024] Open
Abstract
Chest pain/discomfort (CP) is a common symptom and can be a diagnostic dilemma for many clinicians. The misdiagnosis of an acute or progressive chronic cardiac etiology may carry a significant risk of morbidity and mortality. This review summarizes the different options and modalities for establishing the diagnosis and severity of coronary artery disease. An effective test selection algorithm should be individually tailored to each patient to maximize diagnostic accuracy in a timely fashion, determine short- and long-term prognosis, and permit implementation of evidence-based treatments in a cost-effective manner. Through collaboration, a decision algorithm was developed (www.chowmd.ca/cadtesting) that could be adopted widely into clinical practice.
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Affiliation(s)
- Benjamin J.W. Chow
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Paul Galiwango
- Department of Medicine, Scarborough Health Network and Lakeridge Health, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Poulin
- Department of Medicine, Quebec Heart and Lung Institute, Laval University, Quebec, Quebec, Canada
| | - Paolo Raggi
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Gary Small
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Daniel Juneau
- Department of Radiology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Mustapha Kazmi
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Bilal Ayach
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Rob S. Beanlands
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Anthony J. Sanfilippo
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Chi-Ming Chow
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - D. Ian Paterson
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Michael Chetrit
- Department of Cardiovascular Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Davinder S. Jassal
- Department of Physiology and Pathophysiology, Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kim Connelly
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Eric Larose
- Department of Medicine, Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Quebec, Canada
| | - Helen Bishop
- Division of Cardiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Malek Kass
- Department of Internal Medicine, Rady Faculty of Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Todd J. Anderson
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Haissam Haddad
- Division of Cardiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - John Mancini
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Katie Doucet
- Peterborough Regional Health Centre, Kawartha Cardiology Clinic, Peterborough, Ontario, Canada
| | - Jean-Sebastien Daigle
- Department of Internal Medicine, Dr Everett Chalmers Hospital, Fredericton, New Brunswick, Canada
| | - Amir Ahmadi
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jonathan Leipsic
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Siok Ping Lim
- Mayfair Diagnostics, Saskatoon, Saskatchewan, Canada
| | - Andrew McRae
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Annie Y. Chou
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, St. Paul’s Hospital, Vancouver, British Columbia, Canada
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Kitagawa T, Sasaki K, Fujii Y, Ikegami Y, Tatsugami F, Awai K, Hirokawa Y, Nakano Y. 18F-sodium fluoride positron emission tomography following coronary computed tomography angiography in predicting long-term coronary events: a 5-year follow-up study. J Nucl Cardiol 2023; 30:2365-2378. [PMID: 37127726 DOI: 10.1007/s12350-023-03277-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/31/2023] [Indexed: 05/03/2023]
Abstract
PURPOSE The predictive value of 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) in combination with coronary computed tomography (CT) angiography (CCTA) for future coronary events has attracted interest. We evaluated the potential of 18F-NaF PET/CT following CCTA to predict major coronary events (MACE) during a 5-year follow-up period. METHODS Forty patients with coronary atherosclerotic lesions detected on CCTA underwent 18F-NaF PET/CT examination. Each lesion was evaluated for luminal stenosis and high-risk plaque (HRP) with < 30 Hounsfield units and a > 1.1 remodeling index on CCTA. Focal 18F-NaF uptake in each lesion was quantified using the maximum tissue-to-background ratio (TBRmax), and the maximum TBRmax per patient (M-TBRmax) was determined. We followed MACE (cardiac death, acute coronary syndrome, and/or coronary revascularization > 6 months after 18F-NaF PET/CT) for 5 years. RESULTS In total, 142 coronary lesions were analyzed. Eleven patients experienced any MACE. Patients with MACE showed a higher M-TBRmax than those without (1.40 ± .19 vs. 1.18 ± .18, P = .0011), and the optimal M-TBRmax cutoff to predict MACE was 1.29. Patients with M-TBRmax of ≥ 1.29 had a higher risk of MACE than those with lower values (P = .012, log-rank test), whereas patients with obstructive stenosis and those with HRP did not. Multivariate Cox proportional analysis adjusted for age, sex, coronary risk factors, and CCTA findings showed that M-TBRmax of ≥ 1.29 remained an independent predictor of 5-year MACE (hazard ratio, 5.4; 95% confidence interval, 1.1-25.4; P = .034). CONCLUSION 18F-NaF PET/CT following CCTA provides useful strategies to predict 5-year MACE.
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Affiliation(s)
- Toshiro Kitagawa
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan.
| | - Ko Sasaki
- Hiroshima Heiwa Clinic, Hiroshima, Japan
| | - Yuto Fujii
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan
| | - Yuki Ikegami
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan
| | - Fuminari Tatsugami
- Department of Diagnostic Radiology, Hiroshima University Hospital, Hiroshima, Japan
| | - Kazuo Awai
- Department of Diagnostic Radiology, Hiroshima University Hospital, Hiroshima, Japan
| | | | - Yukiko Nakano
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan
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Nelles G, Abdelwahed YS, Alyaqoob A, Seppelt C, Stähli BE, Meteva D, Kränkel N, Haghikia A, Skurk C, Dreger H, Knebel F, Trippel TD, Krisper M, Sieronski L, Gerhardt T, Zanders L, Klotsche J, Landmesser U, Joner M, Leistner DM. Spotty calcium deposits within acute coronary syndrome (ACS)-causing culprit lesions impact inflammatory vessel-wall interactions and are associated with higher cardiovascular event rates at one year follow-up: Results from the prospective translational OPTICO-ACS study program. Atherosclerosis 2023; 385:117284. [PMID: 37871405 DOI: 10.1016/j.atherosclerosis.2023.117284] [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: 12/09/2022] [Revised: 08/31/2023] [Accepted: 09/06/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND AND AIMS Spotty calcium deposits (SCD) represent a vulnerable plaque feature which seems to result - as based on recent invitro studies - from inflammatory vessel-wall interactions. SCD can be reliably assessed by optical coherence tomography (OCT). Their prognostic impact is yet unknown. Therefore, the aims of this translational study were to comprehensively characterize different plaque calcification patterns, to analyze the associated inflammatory mechanisms in the microenvironment of acute coronary syndrome (ACS)-causing culprit lesions (CL) and to investigate the prognostic significance of SCD in a large cohort of ACS-patients. METHODS CL of the first 155 consecutive ACS-patients from the translational OPTICO-ACS-study program were investigated by OCT-characterization of the calcium phenotype at ACS-causing culprit lesions. Simultaneous immunophenotyping by flow-cytometric analysis and cytokine bead array technique across the CL gradient (ratio local/systemic levels) was performed and incidental major adverse cardiovascular events plus (MACE+) at 12 months after ACS were assessed. RESULTS SCD were observed within 45.2% of all analyzed ACS-causing culprit lesions (CL). Culprits containing spotty calcium were characterized by an increased culprit ratio of innate effector cytokines interleukin (IL)-8 [2.04 (1.24) vs. 1.37 (1.10) p < 0.05], as well as TNF (tumor necrosis factor)-α [1.17 (0.93) vs. 1.06 (0.89); p < 0.05)] and an increased ratio of circulating neutrophils [0.96 (0.85) vs. 0.91 (0.77); p < 0.05] as compared to culprit plaques without SCD. Total monocyte levels did not differ between the two groups (p = n.s.). However, SCD-containing CLs were characterized by an increased culprit ratio of intermediate monocytes [(1.15 (0.81) vs. 0.96 (0.84); p < 0.05)] with an enhanced surface expression of the integrin receptor CD49d as compared to intermediate monocytes derived from SCD-free CLs [(1.06 (0.94) vs. 0.97 (0.91)] p < 0.05. Finally, 12 months rates of MACE+ were higher in patients with, as compared to patients without SCD at CL (16.4% vs. 5.3%; p < 0.05). CONCLUSIONS This study for the first time identified a specific inflammatory profile of CL with SCD, with a predominance of neutrophils, intermediate monocytes and their corresponding effector molecules. Hence, this study advances our understanding of ACS-causing CL and provides the basis for future personalized anti-inflammatory, therapeutic approaches to ACS.
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Affiliation(s)
- Gregor Nelles
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Department of Medicine, Cardiology/Angiology, Goethe University Hospital, Frankfurt, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Frankfurt Rhine-Main, Frankfurt, Germany
| | - Youssef S Abdelwahed
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany
| | - Aseel Alyaqoob
- Department of Cardiology and ISAR Research Centre, German Heart Centre, 80636, Munich, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Munch, 80636, Munich, Germany
| | - Claudio Seppelt
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Department of Medicine, Cardiology/Angiology, Goethe University Hospital, Frankfurt, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Frankfurt Rhine-Main, Frankfurt, Germany
| | - Barbara E Stähli
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Department of Cardiology, Universitäres Herzzentrum, Universitätsspital Zürich, Zurich, Switzerland
| | - Denitsa Meteva
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany
| | - Nicolle Kränkel
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany
| | - Arash Haghikia
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany
| | - Carsten Skurk
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany
| | - Henryk Dreger
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Department of Cardiology Charité University Medicine Berlin, Campus Mitte, 10117, Germany
| | - Fabian Knebel
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Department of Cardiology Charité University Medicine Berlin, Campus Mitte, 10117, Germany; Department of Cardiology, Sana Clinic Lichtenberg, 10365, Berlin, Germany
| | - Tobias D Trippel
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Department of Cardiology, Charité University Medicine, Campus Virchow, 13353, Berlin, Germany
| | - Maximilian Krisper
- Department of Cardiology, Charité University Medicine, Campus Virchow, 13353, Berlin, Germany
| | - Lara Sieronski
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany
| | - Teresa Gerhardt
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Berlin Institute of Health (BIH), 10117, Berlin, Germany; Cardiovascular Research Institute and the Department of Medicine, Cardiology, Icahn School of Medicine at Mount Sinai, USA
| | - Lukas Zanders
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany
| | - Jens Klotsche
- German Rheumatism Research Centre Berlin, Institute for Social Medicine, Epidemiology und Heath Economy, Charité University Medicine Berlin, Campus Mitte, 10117, Berlin, Germany
| | - Ulf Landmesser
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Berlin Institute of Health (BIH), 10117, Berlin, Germany
| | - Michael Joner
- Department of Cardiology and ISAR Research Centre, German Heart Centre, 80636, Munich, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Munch, 80636, Munich, Germany
| | - David M Leistner
- Department of Cardiology Charité University Medicine Berlin, Campus Benjamin-Franklin, 12203, Berlin, Germany; DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, 12203, Berlin, Germany; Department of Medicine, Cardiology/Angiology, Goethe University Hospital, Frankfurt, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Frankfurt Rhine-Main, Frankfurt, Germany; Berlin Institute of Health (BIH), 10117, Berlin, Germany.
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Jaltotage B, Sukudom S, Ihdayhid AR, Dwivedi G. Enhancing Risk Stratification on Coronary Computed Tomography Angiography: The Role of Artificial Intelligence. Clin Ther 2023; 45:1023-1028. [PMID: 37813776 DOI: 10.1016/j.clinthera.2023.09.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 09/15/2023] [Accepted: 09/26/2023] [Indexed: 10/11/2023]
Abstract
PURPOSE To describe and outline the role of artificial intelligence (AI) in assisting coronary computed tomography angiography (CCTA) in enhancing risk stratification. METHODS A comprehensive review of the literature was performed to identify published work investigating the utility of applying AI to CCTA. FINDINGS CCTA is an excellent diagnostic tool for the detection of atherosclerotic cardiovascular disease. The noninvasive nature and high diagnostic accuracy have made CCTA a viable alternative to invasive coronary angiography to detect luminal stenosis. However, it is now understood that stenosis is just one factor that predicts cardiac risk and other factors need to be considered. CCTA-derived plaque biomarkers have since emerged as established predictors of cardiac events to improve risk stratification. Despite awareness of these biomarkers, they are still yet to be incorporated into routine clinical practice. The major barriers to implementation include the specialized skills required for image evaluation and the time intensive nature of analysis. With the many recent advancements in the technology, AI presents itself as a promising solution. AI is attractive because it has the potential to rapidly automate technically challenging tasks with exceptional accuracy. IMPLICATIONS Developments in the field of AI are occurring at a rapid rate. There is already increasing evidence of the potential AI has to greatly improve the utility of CCTA by improving analysis time and extracting additional prognostic data from new plaque biomarkers. There are, however, technical and ethical challenges that need to be considered before implementing such technology into routine clinical practice.
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Affiliation(s)
| | - Sara Sukudom
- Department of Cardiology, Fiona Stanley Hospital, Perth, Australia; Harry Perkins Institute of Medical Research, School of Medicine, University of Western Australia, Perth, Australia
| | - Abdul Rahman Ihdayhid
- Department of Cardiology, Fiona Stanley Hospital, Perth, Australia; Harry Perkins Institute of Medical Research, School of Medicine, University of Western Australia, Perth, Australia; School of Medicine, Curtin University, Perth, Australia
| | - Girish Dwivedi
- Department of Cardiology, Fiona Stanley Hospital, Perth, Australia; Harry Perkins Institute of Medical Research, School of Medicine, University of Western Australia, Perth, Australia.
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Yu Y, Yang W, Dai X, Yu L, Lan Z, Ding X, Zhang J. Microvascular Myocardial Ischemia in Patients With Diabetes Without Obstructive Coronary Stenosis and Its Association With Angina. Korean J Radiol 2023; 24:1081-1092. [PMID: 37899519 PMCID: PMC10613843 DOI: 10.3348/kjr.2023.0297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/04/2023] [Accepted: 07/30/2023] [Indexed: 10/31/2023] Open
Abstract
OBJECTIVE To investigate the incidence of microvascular myocardial ischemia in diabetic patients without obstructive coronary artery disease (CAD) and its relationship with angina. MATERIALS AND METHODS Diabetic patients and an intermediate-to-high pretest probability of CAD were prospectively enrolled. Non-diabetic patients but with an intermediate-to-high pretest probability of CAD were retrospectively included as controls. The patients underwent dynamic computed tomography-myocardial perfusion imaging (CT-MPI) and coronary computed tomography angiography (CCTA) to quantify coronary stenosis, myocardial blood flow (MBF), and extracellular volume (ECV). The proportion of patients with microvascular myocardial ischemia, defined as any myocardial segment with a mean MBF ≤ of 100 mL/min/100 mL, in patients without obstructive CAD (Coronary Artery Disease-Reporting and Data System [CAD-RADS] grade 0-2 on CCTA) was determined. Various quantitative parameters of the patients with and without diabetes without obstructive CAD were compared. Multivariable analysis was used to determine the association between microvascular myocardial ischemia and angina symptoms in diabetic patients without obstructive CAD. RESULTS One hundred and fifty-two diabetic patients (mean age: 59.7 ± 10.7; 77 males) and 266 non-diabetic patients (62.0 ± 12.3; 167 males) were enrolled; CCTA revealed 113 and 155 patients without obstructive CAD, respectively. For patients without obstructive CAD, the mean global MBF was significantly lower for those with diabetes than for those without (152.8 mL/min/100 mL vs. 170.4 mL/min/100 mL, P < 0.001). The mean ECV was significantly higher for diabetic patients (27.2% vs. 25.8%, P = 0.009). Among the patients without obstructive CAD, the incidence of microvascular myocardial ischemia (36.3% [41/113] vs. 10.3% [16/155], P < 0.001) and interstitial fibrosis (69.9% [79/113] vs. 33.3% [8/24], P = 0.001) were significantly higher in diabetic patients than in the controls. The presence of microvascular myocardial ischemia was independently associated with angina symptoms (adjusted odds ratio = 3.439, P = 0.037) in diabetic patients but without obstructive CAD. CONCLUSION Dynamic CT-MPI + CCTA revealed a high incidence of microvascular myocardial ischemia in diabetic patients without obstructive CAD. Microvascular myocardial ischemia is strongly associated with angina.
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Affiliation(s)
- Yarong Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenli Yang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xu Dai
- Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lihua Yu
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ziting Lan
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoying Ding
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jiayin Zhang
- Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Sayama K, Sugiyama T, Kanaji Y, Hoshino M, Misawa T, Hada M, Nagamine T, Hanyu Y, Nogami K, Ueno H, Matsuda K, Sakamoto T, Yonetsu T, Kakuta T. Prognostic utility of the pericoronary fat attenuation index in patients with takotsubo cardiomyopathy. J Cardiovasc Comput Tomogr 2023; 17:413-420. [PMID: 37743156 DOI: 10.1016/j.jcct.2023.09.001] [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: 05/02/2023] [Revised: 08/31/2023] [Accepted: 09/14/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND The etiology of takotsubo cardiomyopathy (TCM) remains poorly understood and no optimal management strategy has been established. Identification of features associated with poor outcomes may improve the prognosis of patients with TCM. We aimed to identify the predictors of poor prognosis in patients with TCM using coronary computed tomography angiography (CCTA). METHODS We enrolled consecutive patients with TCM who underwent CCTA during the acute disease phase. The pericoronary fat attenuation index (FAI) of adipose tissue was obtained from CCTA images. Major adverse cardiac and cerebrovascular events (MACCE) were defined as all-cause death, non-fatal myocardial infarction, stroke, rehospitalization due to congestive heart failure, and TCM recurrence. The relationships between patient characteristics and CCTA findings were compared between patients with and without MACCE. RESULTS A total of 52 patients were included (10 men [19.2%]; mean age, 71 years). After a median follow-up of 23 months, MACCE had developed in 10 patients (19.2%). There were significant differences in clinical characteristics [including the three-vessel mean FAI (FAI-mean)] between patients with and without MACCE. Univariate Cox regression analyses showed that FAI-mean ≥ -68.94 Hounsfield units (cut-off value derived from receiver operating characteristic curve analysis) (hazard ratio [HR], 13.52; 95% confidence interval [CI], 1.705-107.2; p = 0.014) and NT-proBNP (HR, 1.000; 95% CI, 1.000-1.000; p = 0.022) were significant predictors of MACCE. FAI-mean ≥ -68.94 HU was significantly associated with MACCE (chi-squared statistic = 10.3, p = 0.001). CONCLUSION In patients with TCM, a higher FAI-mean was significantly associated with poorer outcomes independent of the conventional risk factors.
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Affiliation(s)
- Kodai Sayama
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Tomoyo Sugiyama
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Yoshihisa Kanaji
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Masahiro Hoshino
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Toru Misawa
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Masahiro Hada
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Tatsuhiro Nagamine
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Yoshihiro Hanyu
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Kai Nogami
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Hiroki Ueno
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Kazuki Matsuda
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Tatsuya Sakamoto
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan
| | - Taishi Yonetsu
- Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Tsunekazu Kakuta
- Department of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan.
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Dai N, Tang X, Weng X, Cai H, Zhuang J, Yang G, Zhou F, Wu P, Liu B, Duan S, Yu Y, Guo W, Ju Z, Zhang L, Wang Z, Wang Y, Lu B, Shi H, Qian J, Ge J. Stress-Related Neural Activity Associates With Coronary Plaque Vulnerability and Subsequent Cardiovascular Events. JACC Cardiovasc Imaging 2023; 16:1404-1415. [PMID: 37269269 DOI: 10.1016/j.jcmg.2023.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND Stress-related neural activity (SNA) assessed by amygdalar activity can predict cardiovascular events. However, its mechanistic linkage with plaque vulnerability is not fully elucidated. OBJECTIVES The authors aimed to investigate the association of SNA with coronary plaque morphologic and inflammatory features as well as their ability in predicting major adverse cardiovascular events (MACE). METHODS A total of 299 patients with coronary artery disease (CAD) and without cancer underwent 18F-fluorodexoyglucose positron emission tomography/computed tomography (PET/CT) and available coronary computed tomographic angiography (CCTA) between January 1, 2013, and December 31, 2020. SNA and bone-marrow activity (BMA) were assessed with validated methods. Coronary inflammation (fat attenuation index [FAI]) and high-risk plaque (HRP) characteristics were assessed by CCTA. Relations between these features were analyzed. Relations between SNA and MACE were assessed with Cox models, log-rank tests, and mediation (path) analyses. RESULTS SNA was significant correlated with BMA (r = 0.39; P < 0.001) and FAI (r = 0.49; P < 0.001). Patients with heightened SNA are more likely to have HRP (40.7% vs 23.5%; P = 0.002) and increase risk of MACE (17.2% vs 5.1%, adjusted HR 3.22; 95% CI: 1.31-7.93; P = 0.011). Mediation analysis suggested that higher SNA associates with MACE via a serial mechanism involving BMA, FAI, and HRP. CONCLUSIONS SNA is significantly correlated with FAI and HRP in patients with CAD. Furthermore, such neural activity was associated with MACE, which was mediated in part by leukopoietic activity in the bone marrow, coronary inflammation, and plaque vulnerability.
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Affiliation(s)
- Neng Dai
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Xianglin Tang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Xinyu Weng
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Haidong Cai
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Shanghai, China
| | - Jianhui Zhuang
- Department of Cardiology, Shanghai Tenth People's Hospital, Shanghai, China
| | - Guangjie Yang
- Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Shandong, China
| | - Fan Zhou
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Ping Wu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Shanxi Medical University, Taiyuan, China
| | - Bao Liu
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China; The Nuclear Medicine and Molecular Imaging Clinical Translation Institute of Soochow University, Changzhou, Jiangsu Province, China
| | | | - Yongfu Yu
- School of Public Health and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Weifeng Guo
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Medical Imaging, Shanghai, China
| | - Zhiguo Ju
- College of Medical Imaging, Shanghai University of Medicine and Health Science, Shanghai, China
| | - Longjiang Zhang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Zhenguang Wang
- Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Shandong, China
| | - Yuetao Wang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China; The Nuclear Medicine and Molecular Imaging Clinical Translation Institute of Soochow University, Changzhou, Jiangsu Province, China
| | - Bin Lu
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Lab and National Center for Cardiovascular Diseases, Beijing, China
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Juying Qian
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China.
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Meng Q, Hou Z, Gao Y, Zhao N, An Y, Lu B. Prognostic value of coronary CT angiography for the prediction of all-cause mortality and non-fatal myocardial infarction: a propensity score analysis. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:2247-2254. [PMID: 37589870 DOI: 10.1007/s10554-023-02918-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/11/2023] [Indexed: 08/18/2023]
Abstract
To explore the relationship between comprehensive assessment of coronary atherosclerosis by coronary CT angiography (CCTA) and all-cause mortality and non-fatal myocardial infarction in the Chinese population. Sixty-three patients from the prospective long-term study who experienced major adverse cardiovascular events (MACE) during the follow-up were included. No-MACE patients were 1:1 propensity-matched. Various qualitative and quantitative CCTA parameters, such as coronary artery calcium score (CACS), high-risk plaque, coronary artery disease (CAD) severity, number of obstructive vessels, segment involvement score (SIS), segment stenosis score (SSS), computed tomography-adapt Leaman score (CT-LeSc), and peri-coronary adipose tissue (PCAT) CT attenuation, were compared between both groups. Cox regression analysis was performed to determine the association between CCTA parameters and MACE. The MACE group had higher CACS, more high-risk plaques, more obstructive CAD, more obstructive vessels, higher PCAT CT attenuation, and higher coronary atherosclerotic burden (SIS: 5.76 ± 3.36 vs. 2.84 ± 3.07; SSS: 11.06 ± 8.41 vs. 3.94 ± 4.78; CT-LeSc: 11.25 ± 6.57 vs. 5.49 ± 5.82) than the control group (all p < 0.05). On multivariable analysis, hazard ratios were 1.058 for the SSS (p = 0.004), and 2.152 for the obstructive CAD. When the burden of coronary atherosclerosis was defined as the CT-LeSc, hazard ratios were 1.057 for the CT-LeSc (p = 0.036), and 2.272 for the obstructive CAD. The SSS, CT-LeSc, and presence of obstructive CAD were independently associated with the all-cause mortality and non-fatal myocardial infarction in the suspected CADs in the Chinese population.
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Affiliation(s)
- Qingchao Meng
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhihui Hou
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Yang Gao
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Na Zhao
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Yunqiang An
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Bin Lu
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
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Larsson J, Auscher S, Shamoun A, Pararajasingam G, Heinsen LJ, Andersen TR, Lindholt JS, Diederichsen ACP, Lambrechtsen J, Egstrup K. Insulin resistance is associated with high-risk coronary artery plaque composition in asymptomatic men between 65 and 75 years and no diabetes: A DANCAVAS cross-sectional sub-study. Atherosclerosis 2023; 385:117328. [PMID: 38390826 DOI: 10.1016/j.atherosclerosis.2023.117328] [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: 03/05/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 02/24/2024]
Abstract
BACKGROUND AND AIMS Insulin resistance (IR) and pre-diabetes are associated with an increased risk of cardiovascular disease (CVD). We aimed to investigate vulnerable plaque composition in relation to IR and pre-diabetes in asymptomatic non-diabetic men. METHODS All participants underwent a contrast-enhanced coronary computed tomography angiography (CCTA) to evaluate coronary artery plaque burden and plaque composition (necrotic core, dense calcium, fibrotic and fibrous-fatty volume). Homeostasis model assessment of IR (HOMA-IR) was used, and participants were stratified into tertiles. Participants underwent a standard oral glucose tolerance test (OGTT) and were categorized into 2 groups (normal glucose tolerance (NGT) or pre-diabetes). A multivariable linear regression model was used to evaluate the association between vulnerable plaque composition and IR or glycemic group. RESULTS Four-hundred-and-fifty non-diabetic men without known CAD were included. The mean age was 70 ± 3 years. Participants in the higher HOMA-IR tertile (H-IR) had higher median necrotic plaque volume compared to the lower HOMA-IR tertile (L-IR) (18.2 vs. 11.0 mm3, p = 0.02). H-IR tertile (β 0.37 [95% CI 0.10-0.65], p = 0.008), pack-years (β 0.07 [95% CI 0.007-0.14], p = 0.03) and total atheroma volume (TAV) (β 0.47 [95% CI 0.36-0.57], p < 0.001) remained associated with necrotic plaque volume in the multivariable linear regression model. CONCLUSIONS IR was associated with necrotic plaque volume in asymptomatic men without diabetes. Thus, even in asymptomatic men without diabetes, IR seems to have an incremental effect on necrotic plaque volume and vulnerable plaque composition.
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Affiliation(s)
- Johanna Larsson
- Cardiovascular Research Unit, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark.
| | - Søren Auscher
- Department of Cardiology, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark
| | - André Shamoun
- Cardiovascular Research Unit, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark
| | - Gokulan Pararajasingam
- Cardiovascular Research Unit, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark
| | - Laurits Juhl Heinsen
- Cardiovascular Research Unit, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark
| | - Thomas Rueskov Andersen
- Cardiovascular Research Unit, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark
| | - Jes Sanddal Lindholt
- Department of Cardiac, Thoracic and Vascular Surgery, Odense University Hospital Odense, J.B. Winsløws Vej 4, 5000, Odense, Denmark
| | | | - Jess Lambrechtsen
- Department of Cardiology, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark
| | - Kenneth Egstrup
- Cardiovascular Research Unit, Odense University Hospital Svendborg, Baagøes Allé 15, 5700, Svendborg, Denmark
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Antonopoulos AS, Simantiris S. Preventative Imaging with Coronary Computed Tomography Angiography. Curr Cardiol Rep 2023; 25:1623-1632. [PMID: 37897677 DOI: 10.1007/s11886-023-01982-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 10/30/2023]
Abstract
PURPOSE OF REVIEW Coronary computed tomography angiography (CCTA) is the diagnostic modality of choice for patients with stable chest pain. In this review, we scrutinize the evidence on the use of CCTA for the screening of asymptomatic patients. RECENT FINDINGS Clinical evidence suggests that CCTA imaging enhances cardiovascular risk stratification and prompts the timely initiation of preventive treatment leading to reduced risk of major adverse coronary events. Visualization of coronary plaques by CCTA also helps patients to comply with preventive medications. The presence of non-obstructive plaques and total plaque burden are prognostic for cardiovascular events. High-risk plaque features and pericoronary fat attenuation index, enrich the prognostic output of CCTA on top of anatomical information by capturing information on plaque vulnerability and coronary inflammatory burden. Timely detection of atherosclerotic disease or coronary inflammation by CCTA can assist in the deployment of targeted preventive strategies and novel therapeutics to prevent cardiovascular disease.
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Affiliation(s)
- Alexios S Antonopoulos
- Biomedical Research Foundation of the Academy of Athens (BRFAA), 4 Soranou Efesiou Street, Athens, Greece.
- 1st Cardiology Department, Hippokration Hospital, National and Kapodistrian University of Athens, Athens, Greece.
| | - Spyridon Simantiris
- 1st Cardiology Department, Hippokration Hospital, National and Kapodistrian University of Athens, Athens, Greece
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Chen J, Shen J, Pan Y, Jing J, Wang Y, Wei T, Lyu L. Association of serum cystatin C level with coronary atherosclerotic plaque burden: a comprehensive analysis of observational studies and genetic study. BMC Cardiovasc Disord 2023; 23:499. [PMID: 37817071 PMCID: PMC10563279 DOI: 10.1186/s12872-023-03506-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 09/12/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND AND AIMS Epidemiological studies show that high circulating cystatin C is associated with risk of cardiovascular disease (CVD), independent of creatinine-based renal function measurements. However, the relationship between serum cystatin C level and coronary atherosclerotic plaque burden is limited. We aimed to evaluate the relationship between circulating cystatin C and coronary atherosclerotic plaque burden. METHODS This study was a cross-sectional study based on China community population. Measurements of plaque burden were based on the segment-involvement score (SIS) and segment stenosis score (SSS), which derived from the Coronary Artery Tree Model Depicting Coronary Artery Plaque Scores. Logistic regression model was used to demonstrate the association between cystatin C level and coronary artery plaque burden. Mendelian randomization (MR) analyses were conducted to assess the causal effect of cystatin C level on coronary atherosclerosis risk. RESULTS A total of 3,043 objects were included in the present study. The odds risks (OR) of severe plaque burden in the highest serum cystatin C levels (OR: 2.50; Cl:1.59-3.91; P < 0.001) and medium-level cystatin C levels (OR: 1.86; 95% Cl: 1.21-2.88; P = 0.005) were significantly higher after fulled adjusted confounders compared with the lowest levels of serum cystatin C by SSS. The MR analysis showed that genetic predicted cystatin C levels was associated with an increased risk of coronary atherosclerosis (OR, 1.004; 95% CI, 1.002-1.006, P < 0.001) . CONCLUSION Elevated serum cystatin C levels were associated with coronary atherosclerotic plaque burden. Cystatin C levels had a causal effect on an increased risk of coronary atherosclerosis at the genetic level. WHAT IS ALREADY KNOWN ON THIS TOPIC?: Coronary artery disease is currently the most common cardiovascular disease and the leading global cause of mortality. Previous studies reported that higher serum cystatin C levels were associated with an increased risk for future cardiovascular events, independent of the normal creatinine levels or estimated glomerular filtration rate (eGFR) values. The presence of high-risk coronary atherosclerotic plaque burden is associated with increased risk of cardiovascular events. However, the association between serum cystatin C and coronary atherosclerotic plaque burden is not very clear. WHAT THIS STUDY ADDS?: Our study demonstrated that the elevated serum cystatin C levels were associated with coronary atherosclerotic plaque burden. In addition, we found that serum cystatin C levels had a causal effect on an increased risk of coronary atherosclerosis at the genetic level. HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY?: Current research finds that serum cystatin C levels were associated with coronary atherosclerosis. The metabolic pathway of cystatin C could be a target for new therapies against CAD.
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Affiliation(s)
- Jun Chen
- Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, China
| | - Jiayi Shen
- Department of Cardiology, Lishui Central Hospital, the Fifth Affiliated Hospital of Wenzhou Medical university, Lishui, 323000, Zhejiang, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, China.
| | - Lingchun Lyu
- Department of Cardiology, Lishui Central Hospital, the Fifth Affiliated Hospital of Wenzhou Medical university, Lishui, 323000, Zhejiang, China.
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Williams C, Han D, Takagi H, Fordyce CB, Sellers S, Blanke P, Lin FY, Shaw LJ, Lee SE, Andreini D, Al-Mallah MH, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Conte E, Marques H, de Araújo Gonçalves P, Gottlieb I, Hadamitzky M, Maffei E, Pontone G, Shin S, Kim YJ, Lee BK, Chun EJ, Sung JM, Virmani R, Samady H, Stone PH, Berman DS, Narula J, Bax JJ, Leipsic JA, Chang HJ. Effects of renin-angiotensin-aldosterone-system inhibitors on coronary atherosclerotic plaques: The PARADIGM registry. Atherosclerosis 2023; 383:117301. [PMID: 37769454 DOI: 10.1016/j.atherosclerosis.2023.117301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND AND AIMS Inhibition of Renin-Angiotensin-Aldosterone-System (RAAS) has been hypothesized to improve endothelial function and reduce plaque inflammation, however, their impact on the progression of coronary atherosclerosis is unclear. We aim to study the effects of RAAS inhibitor on plaque progression and composition assessed by serial coronary CT angiography (CCTA). METHODS We performed a prospective, multinational study consisting of a registry of patients without history of CAD, who underwent serial CCTAs. Patients using RAAS inhibitors were propensity matched to RAAS inhibitor naïve patients based on clinical and CCTA characteristics at baseline. Atherosclerotic plaques in CCTAs were quantitatively analyzed for percent atheroma volume (PAV) according to plaque composition. Interactions between RAAS inhibitor use and baseline PAV on plaque progression were assessed in the unmatched cohort using a multivariate linear regression model. RESULTS Of 1248 patients from the registry, 299 RAAS inhibitor taking patients were matched to 299 RAAS inhibitor naïve patients. Over a mean interval of 3.9 years, there was no significant difference in annual progression of total PAV between RAAS inhibitor naïve vs taking patients (0.75 vs 0.79%/year, p = 0.66). With interaction testing in the unmatched cohort, however, RAAS inhibitor use was significantly associated with lower non-calcified plaque progression (Beta coefficient -0.100, adjusted p = 0.038) with higher levels of baseline PAV. CONCLUSIONS The use of RAAS inhibitors over a period of nearly 4 years did not significantly impact on total atherosclerotic plaque progression or various plaque components. However, interaction testing to assess the differential effect of RAAS inhibition based on baseline PAV suggested a significant decrease in progression of non-calcified plaque in patients with a higher burden of baseline atherosclerosis, which should be considered hypothesis generating.
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Affiliation(s)
- Curtis Williams
- Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Donghee Han
- Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Hidenobu Takagi
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada; Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Christopher B Fordyce
- Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephanie Sellers
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Philipp Blanke
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Fay Y Lin
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Leslee J Shaw
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea; Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea
| | | | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Matthew J Budoff
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA, USA
| | | | | | | | | | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal
| | - Pedro de Araújo Gonçalves
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal; Nova Medical School, Lisboa, Portugal
| | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, Pisa, Italy
| | | | - Sanghoon Shin
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Yong-Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Byoung Kwon Lee
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Eun Ju Chun
- 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
| | - Ji Min Sung
- Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea; Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Habib Samady
- Division of Cardiology, Georgia Heart Institute, Gainesville, USA
| | - Peter H Stone
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - 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, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Jonathon A Leipsic
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada.
| | - Hyuk-Jae Chang
- Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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Tanisawa H, Matsumoto H, Cadet S, Higuchi S, Ohya H, Isodono K, Irie D, Kaneko K, Sumida A, Hirano T, Otaki Y, Kitamura R, Slomka PJ, Dey D, Shinke T. Quantification of Low-Attenuation Plaque Burden from Coronary CT Angiography: A Head-to-Head Comparison with Near-Infrared Spectroscopy Intravascular US. Radiol Cardiothorac Imaging 2023; 5:e230090. [PMID: 37908555 PMCID: PMC10613924 DOI: 10.1148/ryct.230090] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 08/09/2023] [Accepted: 08/24/2023] [Indexed: 11/02/2023]
Abstract
Purpose To determine the association between low-attenuation plaque (LAP) burden at coronary CT angiography (CCTA) and plaque morphology determined with near-infrared spectroscopy intravascular US (NIRS-IVUS) and to compare the discriminative ability for NIRS-IVUS-verified high-risk plaques (HRPs) between LAP burden and visual assessment of LAP. Materials and Methods This Health Insurance Portability and Accountability Act-compliant retrospective study included consecutive patients who underwent CCTA before NIRS-IVUS between October 2019 and October 2022 at two facilities. LAPs were visually identified as having a central focal area of less than 30 HU using the pixel lens technique. LAP burden was calculated as the volume of voxels with less than 30 HU divided by vessel volume. HRPs were defined as plaques with one of the following NIRS-IVUS-derived high-risk features: maximum 4-mm lipid core burden index greater than 400 (lipid-rich plaque), an echolucent zone (intraplaque hemorrhage), or echo attenuation (cholesterol clefts). Multivariable analysis was performed to evaluate NIRS-IVUS-derived parameters associated with LAP burden. The discriminative ability for NIRS-IVUS-verified HRPs was compared using receiver operating characteristic analysis. Results In total, 273 plaques in 141 patients (median age, 72 years; IQR, 63-78 years; 106 males) were analyzed. All the NIRS-IVUS-derived high-risk features were independently linked to LAP burden (P < .01 for all). LAP burden increased with the number of high-risk features (P < .001) and had better discriminative ability for HRPs than plaque attenuation by visual assessment (area under the receiver operating characteristic curve, 0.93 vs 0.89; P = .02). Conclusion Quantification of LAP burden improved HRP assessment compared with visual assessment. LAP burden was associated with the accumulation of HRP morphology.Keywords: Coronary CT Angiography, Intraplaque Hemorrhage, Lipid-Rich Plaque, Low Attenuation Plaque, Near-Infrared Spectroscopy Intravascular Ultrasound Supplemental material is available for this article. See also the commentary by Ferencik in this issue.© RSNA, 2023.
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Affiliation(s)
- Hiroki Tanisawa
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Hidenari Matsumoto
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Sebastien Cadet
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Satoshi Higuchi
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Hidefumi Ohya
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Koji Isodono
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Daisuke Irie
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Kyoichi Kaneko
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Arihiro Sumida
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Takaho Hirano
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Yuka Otaki
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Ryoji Kitamura
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Piotr J Slomka
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Damini Dey
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
| | - Toshiro Shinke
- From the Division of Cardiology, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555, Japan (H.T., H.M., S.H., K.K., A.S., T.S.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (S.C., P.J.S., D.D.); Department of Cardiology, Ijinkai Takeda General Hospital, Kyoto, Japan (H.O., K.I., D.I., R.K.); Department of Radiological Technology, Showa University Hospital, Tokyo, Japan (T.H.); and Department of Radiology, Sakakibara Heart Institute, Tokyo, Japan (Y.O.)
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45
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Welty FK, Hariri E, Asbeutah AA, Daher R, Amangurbanova M, Chedid G, Elajami TK, Alfaddagh A, Malik A. Regression of Coronary Fatty Plaque and Risk of Cardiac Events According to Blood Pressure Status: Data From a Randomized Trial of Eicosapentaenoic Acid and Docosahexaenoic Acid in Patients With Coronary Artery Disease. J Am Heart Assoc 2023; 12:e030071. [PMID: 37681568 PMCID: PMC10547278 DOI: 10.1161/jaha.123.030071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 08/10/2023] [Indexed: 09/09/2023]
Abstract
Background Residual risk of cardiovascular events and plaque progression remains despite reduction in low-density lipoprotein cholesterol. Factors contributing to residual risk remain unclear. The authors examined the role of eicosapentaenoic acid and docosahexaenoic acid in coronary plaque regression and its predictors. Methods and Results A total of 240 patients with stable coronary artery disease were randomized to eicosapentaenoic acid plus docosahexaenoic acid (3.36 g/d) or none for 30 months. Patients were stratified by regression or progression of coronary fatty plaque measured by coronary computed tomographic angiography. Cardiac events were ascertained. The mean±SD age was 63.0±7.7 years, mean low-density lipoprotein cholesterol level was <2.07 mmol/L, and median triglyceride level was <1.38 mmol/L. Regressors had a 14.9% reduction in triglycerides that correlated with fatty plaque regression (r=0.135; P=0.036). Compared with regressors, progressors had higher cardiac events (5% vs 22.3%, respectively; P<0.001) and a 2.89-fold increased risk of cardiac events (95% CI, 1.1-8.0; P=0.034). Baseline non-high-density lipoprotein cholesterol level <2.59 mmol/L (100 mg/dL) and systolic blood pressure <125 mm Hg were significant independent predictors of fatty plaque regression. Normotensive patients taking eicosapentaenoic acid plus docosahexaenoic acid had regression of noncalcified coronary plaque that correlated with triglyceride reduction (r=0.35; P=0.034) and a significant decrease in neutrophil/lymphocyte ratio. In contrast, hypertensive patients had no change in noncalcified coronary plaque or neutrophil/lymphocyte ratio. Conclusions Triglyceride reduction, systolic blood pressure <125 mm Hg, and non-high-density lipoprotein cholesterol <2.59 mmol/L were associated with coronary plaque regression and reduced cardiac events. Normotensive patients had greater benefit than hypertensive patients potentially due to lower levels of inflammation. Future studies should examine the role of inflammation in plaque regression. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT01624727.
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Affiliation(s)
- Francine K. Welty
- Division of CardiologyBeth Israel Deaconess Medical CenterBostonMAUSA
| | | | | | - Ralph Daher
- Gilbert and Rose‐Marie Chagoury School of MedicineLebanese American UniversityByblosLebanon
| | | | - Georges Chedid
- Gilbert and Rose‐Marie Chagoury School of MedicineLebanese American UniversityByblosLebanon
| | - Tarec K. Elajami
- Division of CardiologyBeth Israel Deaconess Medical CenterBostonMAUSA
| | | | - Abdulaziz Malik
- Division of CardiologyBeth Israel Deaconess Medical CenterBostonMAUSA
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46
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Zhou S, Yang J, Konduri K, Huang J, Yu L, Jin M. Spatiotemporal denoising of low-dose cardiac CT image sequences using RecycleGAN. Biomed Phys Eng Express 2023; 9:10.1088/2057-1976/acf223. [PMID: 37604139 PMCID: PMC10593187 DOI: 10.1088/2057-1976/acf223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/21/2023] [Indexed: 08/23/2023]
Abstract
Electrocardiogram (ECG)-gated multi-phase computed tomography angiography (MP-CTA) is frequently used for diagnosis of coronary artery disease. Radiation dose may become a potential concern as the scan needs to cover a wide range of cardiac phases during a heart cycle. A common method to reduce radiation is to limit the full-dose acquisition to a predefined range of phases while reducing the radiation dose for the rest. Our goal in this study is to develop a spatiotemporal deep learning method to enhance the quality of low-dose CTA images at phases acquired at reduced radiation dose. Recently, we demonstrated that a deep learning method, Cycle-Consistent generative adversarial networks (CycleGAN), could effectively denoise low-dose CT images through spatial image translation without labeled image pairs in both low-dose and full-dose image domains. As CycleGAN does not utilize the temporal information in its denoising mechanism, we propose to use RecycleGAN, which could translate a series of images ordered in time from the low-dose domain to the full-dose domain through an additional recurrent network. To evaluate RecycleGAN, we use the XCAT phantom program, a highly realistic simulation tool based on real patient data, to generate MP-CTA image sequences for 18 patients (14 for training, 2 for validation and 2 for test). Our simulation results show that RecycleGAN can achieve better denoising performance than CycleGAN based on both visual inspection and quantitative metrics. We further demonstrate the superior denoising performance of RecycleGAN using clinical MP-CTA images from 50 patients.
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Affiliation(s)
- Shiwei Zhou
- Department of Physics, University of Texas at Arlington, Arlington, TX, United States of America
| | - Jinyu Yang
- Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, United States of America
| | - Krishnateja Konduri
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States of America
| | - Junzhou Huang
- Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, United States of America
| | - Lifeng Yu
- Department of Radiology, Mayo Clinic, Rochester, MN, United States of America
| | - Mingwu Jin
- Department of Physics, University of Texas at Arlington, Arlington, TX, United States of America
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47
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Mehta CR, Naeem A, Patel Y. Cardiac Computed Tomography Angiography in CAD Risk Stratification and Revascularization Planning. Diagnostics (Basel) 2023; 13:2902. [PMID: 37761268 PMCID: PMC10530183 DOI: 10.3390/diagnostics13182902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/25/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
PURPOSE OF REVIEW Functional stress testing is frequently used to assess for coronary artery disease (CAD) in symptomatic, stable patients with low to intermediate pretest probability. However, patients with highly vulnerable plaque may have preserved luminal patency and, consequently, a falsely negative stress test. Cardiac computed tomography angiography (CCTA) has emerged at the forefront of primary prevention screening and has excellent agency in ruling out obstructive CAD with high negative predictive value while simultaneously characterizing nonobstructive plaque for high-risk features, which invariably alters risk-stratification and pre-procedural decision making. RECENT FINDINGS We review the literature detailing the utility of CCTA in its ability to risk-stratify patients with CAD based on calcium scoring as well as high-risk phenotypic features and to qualify the functional significance of stenotic lesions. SUMMARY Calcium scores ≥ 100 should prompt consideration of statin and aspirin therapy. Spotty calcifications < 3 mm, increased non-calcified plaque > 4 mm3 per mm of the vessel wall, low attenuation < 30 HU soft plaque and necrotic core with a rim of higher attenuation < 130 HU, and a positive remodeling index ratio > 1.1 all confer additive risk for acute plaque rupture when present. Elevations in the perivascular fat attenuation index > -70.1 HU are a strong predictor of all-cause mortality and can further the risk stratification of patients in the setting of a non-to-minimal plaque burden. Lastly, a CT-derived fractional flow reserve (FFRCT) < 0.75 or values from 0.76 to 0.80 in conjunction with additional risk factors is suggestive of flow-limiting disease that would benefit from invasive testing. The wealth of information available through CCTA can allow clinicians to risk-stratify patients at elevated risk for an acute ischemic event and engage in advanced revascularization planning.
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Affiliation(s)
- Chirag R. Mehta
- Department of Cardiology, The Warren Alpert Medical School of Brown University, Providence, RI 02903, USA (Y.P.)
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48
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Ramasamy A, Sokooti H, Zhang X, Tzorovili E, Bajaj R, Kitslaar P, Broersen A, Amersey R, Jain A, Ozkor M, Reiber JHC, Dijkstra J, Serruys PW, Moon JC, Mathur A, Baumbach A, Torii R, Pugliese F, Bourantas CV. Novel near-infrared spectroscopy-intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization. EUROPEAN HEART JOURNAL OPEN 2023; 3:oead090. [PMID: 37908441 PMCID: PMC10615127 DOI: 10.1093/ehjopen/oead090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/16/2023] [Accepted: 08/17/2023] [Indexed: 11/02/2023]
Abstract
Aims Coronary computed tomography angiography (CCTA) is inferior to intravascular imaging in detecting plaque morphology and quantifying plaque burden. We aim to, for the first time, train a deep-learning (DL) methodology for accurate plaque quantification and characterization in CCTA using near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS). Methods and results Seventy patients were prospectively recruited who underwent CCTA and NIRS-IVUS imaging. Corresponding cross sections were matched using an in-house developed software, and the estimations of NIRS-IVUS for the lumen, vessel wall borders, and plaque composition were used to train a convolutional neural network in 138 vessels. The performance was evaluated in 48 vessels and compared against the estimations of NIRS-IVUS and the conventional CCTA expert analysis. Sixty-four patients (186 vessels, 22 012 matched cross sections) were included. Deep-learning methodology provided estimations that were closer to NIRS-IVUS compared with the conventional approach for the total atheroma volume (ΔDL-NIRS-IVUS: -37.8 ± 89.0 vs. ΔConv-NIRS-IVUS: 243.3 ± 183.7 mm3, variance ratio: 4.262, P < 0.001) and percentage atheroma volume (-3.34 ± 5.77 vs. 17.20 ± 7.20%, variance ratio: 1.578, P < 0.001). The DL methodology detected lesions more accurately than the conventional approach (Area under the curve (AUC): 0.77 vs. 0.67, P < 0.001) and quantified minimum lumen area (ΔDL-NIRS-IVUS: -0.35 ± 1.81 vs. ΔConv-NIRS-IVUS: 1.37 ± 2.32 mm2, variance ratio: 1.634, P < 0.001), maximum plaque burden (4.33 ± 11.83% vs. 5.77 ± 16.58%, variance ratio: 2.071, P = 0.004), and calcific burden (-51.2 ± 115.1 vs. -54.3 ± 144.4, variance ratio: 2.308, P < 0.001) more accurately than conventional approach. The DL methodology was able to segment a vessel on CCTA in 0.3 s. Conclusions The DL methodology developed for CCTA analysis from co-registered NIRS-IVUS and CCTA data enables rapid and accurate assessment of lesion morphology and is superior to expert analysts (Clinicaltrials.gov: NCT03556644).
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Affiliation(s)
- Anantharaman Ramasamy
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | | | - Xiaotong Zhang
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Evangelia Tzorovili
- Pragmatic Clinical Trials Unit, Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Retesh Bajaj
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | - Pieter Kitslaar
- Medis Medical Imaging Systems, Leiden, The Netherlands
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Alexander Broersen
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rajiv Amersey
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Ajay Jain
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Mick Ozkor
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Johan H C Reiber
- Medis Medical Imaging Systems, Leiden, The Netherlands
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jouke Dijkstra
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Patrick W Serruys
- Faculty of Medicine, National Heart and Lung Institute, Imperial College London, Cale Street, London SW3 6LY, UK
- Department of Cardiology, National University of Ireland, Galway, Ireland
| | - James C Moon
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Institute of Cardiovascular Sciences, University College London, Gower Street, London WC1E 6BT, UK
| | - Anthony Mathur
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | - Andreas Baumbach
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | - Ryo Torii
- Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | - Christos V Bourantas
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
- Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, Mile End Road, London E1 4NS, UK
- Institute of Cardiovascular Sciences, University College London, Gower Street, London WC1E 6BT, UK
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49
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Buckler AJ, Doros G, Kinninger A, Lakshmanan S, Le VT, Libby P, May HT, Muhlestein JB, Nelson JR, Nicolaou A, Roy SK, Shaikh K, Shekar C, Tayek JA, Zheng L, Bhatt DL, Budoff MJ. Quantitative imaging biomarkers of coronary plaque morphology: insights from EVAPORATE. Front Cardiovasc Med 2023; 10:1204071. [PMID: 37600044 PMCID: PMC10435977 DOI: 10.3389/fcvm.2023.1204071] [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: 04/11/2023] [Accepted: 07/12/2023] [Indexed: 08/22/2023] Open
Abstract
Aims Residual cardiovascular risk persists despite statin therapy. In REDUCE-IT, icosapent ethyl (IPE) reduced total events, but the mechanisms of benefit are not fully understood. EVAPORATE evaluated the effects of IPE on plaque characteristics by coronary computed tomography angiography (CCTA). Given the conclusion that the IPE-treated patients demonstrate that plaque burden decreases has already been published in the primary study analysis, we aimed to demonstrate whether the use of an analytic technique defined and validated in histological terms could extend the primary study in terms of whether such changes could be reliably seen in less time on drug, at the individual (rather than only at the cohort) level, or both, as neither of these were established by the primary study result. Methods and Results EVAPORATE randomized the patients to IPE 4 g/day or placebo. Plaque morphology, including lipid-rich necrotic core (LRNC), fibrous cap thickness, and intraplaque hemorrhage (IPH), was assessed using the ElucidVivo® (Elucid Bioimaging Inc.) on CCTA. The changes in plaque morphology between the treatment groups were analyzed. A neural network to predict treatment assignment was used to infer patient representation that encodes significant morphological changes. Fifty-five patients completed the 18-month visit in EVAPORATE with interpretable images at each of the three time points. The decrease of LRNC between the patients on IPE vs. placebo at 9 months (reduction of 2 mm3 vs. an increase of 41 mm3, p = 0.008), widening at 18 months (6 mm3 vs. 58 mm3 increase, p = 0.015) were observed. While not statistically significant on a univariable basis, reductions in wall thickness and increases in cap thickness motivated multivariable modeling on an individual patient basis. The per-patient response assessment was possible using a multivariable model of lipid-rich phenotype at the 9-month follow-up, p < 0.01 (sustained at 18 months), generalizing well to a validation cohort. Conclusion Plaques in the IPE-treated patients acquired more characteristics of stability. Reliable assessment using histologically validated analysis of individual response is possible at 9 months, with sustained stabilization at 18 months, providing a quantitative basis to elucidate drug mechanism and assess individual patient response.
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Affiliation(s)
- Andrew J. Buckler
- Department of Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Elucid Bioimaging Inc., Boston, MA, United States
| | | | - April Kinninger
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Suvasini Lakshmanan
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Viet T. Le
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, United States
- Rocky Mountain University of Health Profession, Provo, UT, United States
| | - Peter Libby
- Brigham and Women’s Hospital Heart & Vascular Center and Harvard Medical School, Boston, MA, United States
| | - Heidi T. May
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, United States
| | - Joseph B. Muhlestein
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, United States
| | - John R. Nelson
- California Cardiovascular Institute, Fresno, CA, United States
| | | | - Sion K. Roy
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Kashif Shaikh
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Chandana Shekar
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - John A. Tayek
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Luke Zheng
- BAIM Institute, Boston, MA, United States
| | - Deepak L. Bhatt
- Brigham and Women’s Hospital Heart & Vascular Center and Harvard Medical School, Boston, MA, United States
| | - Matthew J. Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
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50
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Moss A, Daghem M, Tzolos E, Meah MN, Wang KL, Bularga A, Adamson PD, Kwiecinski J, Fletcher A, Dawson D, Arumugam P, Sabharwal N, Greenwood JP, Townend JN, Calvert PA, Rudd JHF, Berman D, Verjans J, Slomka P, Dey D, Forsyth L, Murdoch L, Lee RJ, Lewis S, Mills NL, van Beek EJR, Williams MC, Dweck MR, Newby DE. Coronary Atherosclerotic Plaque Activity and Future Coronary Events. JAMA Cardiol 2023; 8:755-764. [PMID: 37379010 PMCID: PMC10308296 DOI: 10.1001/jamacardio.2023.1729] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 05/03/2023] [Indexed: 06/29/2023]
Abstract
Importance Recurrent coronary events in patients with recent myocardial infarction remain a major clinical problem. Noninvasive measures of coronary atherosclerotic disease activity have the potential to identify individuals at greatest risk. Objective To assess whether coronary atherosclerotic plaque activity as assessed by noninvasive imaging is associated with recurrent coronary events in patients with myocardial infarction. Design, Setting, and Participants This prospective, longitudinal, international multicenter cohort study recruited participants aged 50 years or older with multivessel coronary artery disease and recent (within 21 days) myocardial infarction between September 2015 and February 2020, with a minimum 2 years' follow-up. Intervention Coronary 18F-sodium fluoride positron emission tomography and coronary computed tomography angiography. Main Outcomes and Measures Total coronary atherosclerotic plaque activity was assessed by 18F-sodium fluoride uptake. The primary end point was cardiac death or nonfatal myocardial infarction but was expanded during study conduct to include unscheduled coronary revascularization due to lower than anticipated primary event rates. Results Among 2684 patients screened, 995 were eligible, 712 attended for imaging, and 704 completed an interpretable scan and comprised the study population. The mean (SD) age of participants was 63.8 (8.2) years, and most were male (601 [85%]). Total coronary atherosclerotic plaque activity was identified in 421 participants (60%). After a median follow-up of 4 years (IQR, 3-5 years), 141 participants (20%) experienced the primary end point: 9 had cardiac death, 49 had nonfatal myocardial infarction, and 83 had unscheduled coronary revascularizations. Increased coronary plaque activity was not associated with the primary end point (hazard ratio [HR], 1.25; 95% CI, 0.89-1.76; P = .20) or unscheduled revascularization (HR, 0.98; 95% CI, 0.64-1.49; P = .91) but was associated with the secondary end point of cardiac death or nonfatal myocardial infarction (47 of 421 patients with high plaque activity [11.2%] vs 19 of 283 with low plaque activity [6.7%]; HR, 1.82; 95% CI, 1.07-3.10; P = .03) and all-cause mortality (30 of 421 patients with high plaque activity [7.1%] vs 9 of 283 with low plaque activity [3.2%]; HR, 2.43; 95% CI, 1.15-5.12; P = .02). After adjustment for differences in baseline clinical characteristics, coronary angiography findings, and Global Registry of Acute Coronary Events score, high coronary plaque activity was associated with cardiac death or nonfatal myocardial infarction (HR, 1.76; 95% CI, 1.00-3.10; P = .05) but not with all-cause mortality (HR, 2.01; 95% CI, 0.90-4.49; P = .09). Conclusions and Relevance In this cohort study of patients with recent myocardial infarction, coronary atherosclerotic plaque activity was not associated with the primary composite end point. The findings suggest that risk of cardiovascular death or myocardial infarction in patients with elevated plaque activity warrants further research to explore its incremental prognostic implications.
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Affiliation(s)
- Alastair Moss
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
- National Institute for Health and Care Research, Leicester Biomedical Research Centre, University of Leicester, Leicester, England
| | - Marwa Daghem
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Evangelos Tzolos
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Mohammed N. Meah
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Kang-Ling Wang
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Anda Bularga
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Philip D. Adamson
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Alison Fletcher
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Dana Dawson
- Aberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Aberdeen, Scotland
| | | | - Nikant Sabharwal
- Oxford University Hospitals, NHS Foundation Trust, Oxford, England
| | - John P. Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England
| | - Jon N. Townend
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, England
| | | | - James H. F. Rudd
- Department of Medicine, University of Cambridge, Cambridge, England
| | - Dan Berman
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Johan Verjans
- Adelaide Medical School, The University of Adelaide, Adelaide, Australia
| | - Piotr Slomka
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Damini Dey
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Laura Forsyth
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Lauren Murdoch
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Robert J. Lee
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Steff Lewis
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Nicholas L. Mills
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
- Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Edwin J. R. van Beek
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Michelle C. Williams
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Marc R. Dweck
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - David E. Newby
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
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