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Tuttolomondo D, Ticinesi A, Dey D, Martini C, Nouvenne A, Nicastro M, De Filippo M, Sverzellati N, Nicolini F, Meschi T, Gaibazzi N. Coronary inflammation on chest computed tomography and COVID-19 mortality. Eur Radiol 2024; 34:5153-5163. [PMID: 38221582 DOI: 10.1007/s00330-023-10573-8] [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: 08/11/2023] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 01/16/2024]
Abstract
OBJECTIVES The main factors associated with coronavirus disease-19 (COVID-19) mortality are age, comorbidities, pattern of inflammatory response, and SARS-CoV-2 lineage involved in infection. However, the clinical course of the disease is extremely heterogeneous, and reliable biomarkers predicting adverse prognosis are lacking. Our aim was to elucidate the prognostic role of a novel marker of coronary artery disease inflammation, peri-coronary adipose tissue attenuation (PCAT), available from high-resolution chest computed tomography (HRCT) in COVID-19 patients with severe disease requiring hospitalization. METHODS Two distinct groups of patients were admitted to Parma University Hospital in Italy with COVID-19 in March 2020 and March 2021 (first- and third-wave peaks of the COVID-19 pandemic in Italy, with the prevalence of wild-type and B.1.1.7 SARS-CoV-2 lineage, respectively) were retrospectively enrolled. The primary endpoint was in-hospital mortality. Demographic, clinical, laboratory, HRCT data, and coronary artery HRCT features (coronary calcium score and PCAT attenuation) were collected to show which variables were associated with mortality. RESULTS Among the 769 patients enrolled, 555 (72%) were discharged alive, and 214 (28%) died. In multivariable logistic regression analysis age (p < 0.001), number of chronic illnesses (p < 0.001), smoking habit (p = 0.006), P/F ratio (p = 0.001), platelet count (p = 0.002), blood creatinine (p < 0.001), non-invasive mechanical ventilation (p < 0.001), HRCT visual score (p < 0.001), and PCAT (p < 0.001), but not the calcium score, were independently associated with in-hospital mortality. CONCLUSION Coronary inflammation, measured with PCAT on non-triggered HRCT, appeared to be independently associated with higher mortality in patients with severe COVID-19, while the pre-existent coronary atherosclerotic burden was not associated with adverse outcomes after adjustment for covariates. CLINICAL RELEVANCE STATEMENT The current study demonstrates that a relatively simple measurement, peri-coronary adipose tissue attenuation (PCAT), available ex-post from standard high-resolution computed tomography, is strongly and independently associated with in-hospital mortality. KEY POINTS • Coronary inflammation can be measured by the attenuation of peri-coronary adipose tissue (PCAT) on high-resolution CT (HRCT) without contrast media. • PCAT is strongly and independently associated with in-hospital mortality in SARS-CoV-2 patients. • PCAT might be considered an independent prognostic marker in COVID-19 patients if confirmed in other studies.
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Affiliation(s)
- Domenico Tuttolomondo
- Cardiology Unit, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy
| | - Andrea Ticinesi
- Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, Italy
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy
| | - Damini Dey
- Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA
| | - Chiara Martini
- Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, Italy.
- Diagnostic Department, Azienda Ospedaliero-Universitaria di Parma, Via Gramsci 14, 43126, Parma, Italy.
| | - Antonio Nouvenne
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy
| | - Maria Nicastro
- Department of Medicine and Surgery, University of Parma and Unit of Occupational Medicine and Industrial Toxicology, University Hospital of Parma, 43121, Parma, Italy
| | - Massimo De Filippo
- Department of Medicine and Surgery, Section of Radiology, University of Parma, Maggiore Hospital, Via Gramsci 14, 43125, Parma, Italy
| | - Nicola Sverzellati
- Diagnostic Department, Azienda Ospedaliero-Universitaria di Parma, Via Gramsci 14, 43126, Parma, Italy
| | - Francesco Nicolini
- Department of Cardiac Surgery, Parma University Hospital, Via Gramsci 14, 43126, Parma, Italy
| | - Tiziana Meschi
- Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, Italy
- Geriatric-Rehabilitation Department, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy
| | - Nicola Gaibazzi
- Cardiology Unit, Azienda Ospedaliero-Universitaria di Parma, Via Antonio Gramsci 14, 43126, Parma, Italy
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Jing M, Xi H, Yang J, Zhu H, Sun Q, Ren W, Deng L, Han T, Zhang Y, Zhou J. Relationship between pericoronary fat-attenuation values quantified by coronary computed tomography angiography and coronary artery disease severity. Clin Radiol 2024; 79:e1021-e1030. [PMID: 38821757 DOI: 10.1016/j.crad.2024.02.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/17/2024] [Accepted: 02/28/2024] [Indexed: 06/02/2024]
Abstract
AIM To explore the relationship between pericoronary fat-attenuation index (FAI) values and coronary artery disease (CAD) severity measured using coronary computed tomography angiography (CCTA). MATERIALS AND METHODS This study retrospectively included 428 patients with CAD who were eligible and underwent CCTA at our hospital. CAD severity on CCTA images including obstructive stenosis and extensive lesions, and segment stenosis and involvement score (SSS, SIS), and CAD-RADS classification were assessed. FAI values for left anterior descending (LAD), left circumflex (LCX) branches, and right coronary artery (RCA) were quantified using fully automated software. The relationship between FAI values and CAD severity was assessed using univariate and multivariate regression models. RESULTS Univariate analyses showed that sex and current smoking were associated with elevated FAILAD and FAILCX values (all P<0.05), whereas CAD severity was not relevant (all P>0.05). Not only clinical factors such as sex, current smoking, and hypertension were associated with elevated FAIRCA, but also indicators to assess CAD severity including obstructive stenosis, SIS, and SSS were related to it (all P<0.05). Multivariate analysis demonstrated that after correcting for the effects of other conventional cardiovascular risk factors and CCTA imaging features, current smoking was an independent risk factor for elevated FAI values (odds ratio [OR] = 0.569, 0.458, and 0.517; all P<0.05), whereas that SSS (OR=1.041, P=0.027) for elevated FAIRCA values. CONCLUSION Following correction for conventional cardiovascular risk factors and imaging characteristics, current smoking was an independent clinical risk factor for elevated FAI values, and SSS was an independent risk factor for elevated FAIRCA values.
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Affiliation(s)
- M Jing
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - H Xi
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - J Yang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - H Zhu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Q Sun
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - W Ren
- GE Healthcare, Computed Tomography Research Center, Beijing, China
| | - L Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - T Han
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Y Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - J Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 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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Kwiecinski J, Wang KL, Tzolos E, Moss A, Daghem M, Adamson PD, Dey D, Molek-Dziadosz P, Dawson D, Arumugam P, Sabharwal N, Greenwood JP, Townend JN, Calvert PA, Rudd JH, Berman D, Verjans JW, Williams MC, Slomka P, Dweck MR, Newby DE. Sex differences in coronary atherosclerotic plaque activity using 18F-sodium fluoride positron emission tomography. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06810-x. [PMID: 38926161 DOI: 10.1007/s00259-024-06810-x] [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: 04/28/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024]
Abstract
INTRODUCTION There are sex differences in the extent, severity, and outcomes of coronary artery disease. We aimed to assess the influence of sex on coronary atherosclerotic plaque activity measured using coronary 18F-sodium fluoride (18F-NaF) positron emission tomography (PET), and to determine whether 18F-NaF PET has prognostic value in both women and men. METHODS In a post-hoc analysis of observational cohort studies of patients with coronary atherosclerosis who had undergone 18F-NaF PET CT angiography, we compared the coronary microcalcification activity (CMA) in women and men. RESULTS Baseline 18F-NaF PET CT angiography was available in 999 participants (151 (15%) women) with 4282 patient-years of follow-up. Compared to men, women had lower coronary calcium scores (116 [interquartile range, 27-434] versus 205 [51-571] Agatston units; p = 0.002) and CMA values (0.0 [0.0-1.12] versus 0.53 [0.0-2.54], p = 0.01). Following matching for plaque burden by coronary calcium scores and clinical comorbidities, there was no sex-related difference in CMA values (0.0 [0.0-1.12] versus 0.0 [0.0-1.23], p = 0.21) and similar proportions of women and men had no 18F-NaF uptake (53.0% (n = 80) and 48.3% (n = 73); p = 0.42), or CMA values > 1.56 (21.8% (n = 33) and 21.8% (n = 33); p = 1.00). Over a median follow-up of 4.5 [4.0-6.0] years, myocardial infarction occurred in 6.6% of women (n = 10) and 7.8% of men (n = 66). Coronary microcalcification activity greater than 0 was associated with a similarly increased risk of myocardial infarction in both women (HR: 3.83; 95% CI:1.10-18.49; p = 0.04) and men (HR: 5.29; 95% CI:2.28-12.28; p < 0.001). CONCLUSION Although men present with more coronary atherosclerotic plaque than women, increased plaque activity is a strong predictor of future myocardial infarction regardless of sex.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, Warsaw, 04-628, Poland.
| | - Kang-Ling Wang
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Evangelos Tzolos
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Alastair Moss
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Marwa Daghem
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Philip D Adamson
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Damini Dey
- Departments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | | | - Dana Dawson
- Aberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Aberdeen, United Kingdom
| | | | - Nikant Sabharwal
- Oxford University Hospitals, NHS Foundation Trust, Oxford, United Kingdom
| | - John P Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - John N Townend
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Patrick A Calvert
- Royal Papworth Hospital, University of Cambridge, Cambridge, United Kingdom
| | - James Hf Rudd
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Daniel Berman
- Departments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Johan W Verjans
- Australian Institute for Machine Learning, The University of Adelaide, Adelaide, Australia
- Royal Adelaide Hospital, Adelaide, Australia
| | - Michelle C Williams
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Piotr Slomka
- Departments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
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Chen M, Hao G, Xu J, Liu Y, Yu Y, Hu S, Hu C. Radiomics analysis of lesion-specific pericoronary adipose tissue to predict major adverse cardiovascular events in coronary artery disease. BMC Med Imaging 2024; 24:150. [PMID: 38886653 PMCID: PMC11184685 DOI: 10.1186/s12880-024-01325-1] [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: 03/30/2024] [Accepted: 06/07/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVE To investigate the prognostic performance of radiomics analysis of lesion-specific pericoronary adipose tissue (PCAT) for major adverse cardiovascular events (MACE) with the guidance of CT derived fractional flow reserve (CT-FFR) in coronary artery disease (CAD). MATERIALS AND METHODS The study retrospectively analyzed 608 CAD patients who underwent coronary CT angiography. Lesion-specific PCAT was determined by the lowest CT-FFR value and 1691 radiomic features were extracted. MACE included cardiovascular death, nonfatal myocardial infarction, unplanned revascularization and hospitalization for unstable angina. Four models were generated, incorporating traditional risk factors (clinical model), radiomics score (Rad-score, radiomics model), traditional risk factors and Rad-score (clinical radiomics model) and all together (combined model). The model performances were evaluated and compared with Harrell concordance index (C-index), area under curve (AUC) of the receiver operator characteristic. RESULTS Lesion-specific Rad-score was associated with MACE (adjusted HR = 1.330, p = 0.009). The combined model yielded the highest C-index of 0.718, which was higher than clinical model (C-index = 0.639), radiomics model (C-index = 0.653) and clinical radiomics model (C-index = 0.698) (all p < 0.05). The clinical radiomics model had significant higher C-index than clinical model (p = 0.030). There were no significant differences in C-index between clinical or clinical radiomics model and radiomics model (p values were 0.796 and 0.147 respectively). The AUC increased from 0.674 for clinical model to 0.721 for radiomics model, 0.759 for clinical radiomics model and 0.773 for combined model. CONCLUSION Radiomics analysis of lesion-specific PCAT is useful in predicting MACE. Combination of lesion-specific Rad-score and CT-FFR shows incremental value over traditional risk factors.
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Affiliation(s)
- Meng Chen
- Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, 215006, China
| | - Guangyu Hao
- Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, 215006, China
| | - Jialiang Xu
- Department of Cardiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, 215006, China
| | - Yuanqing Liu
- Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, 215006, China
| | - Yixing Yu
- Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, 215006, China
| | - Su Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, 215006, China.
| | - Chunhong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, NO.899 Pinghai Road, Gusu District, Suzhou, Jiangsu, 215006, China.
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Stanek E, Czamara K. Imaging of perivascular adipose tissue in cardiometabolic diseases by Raman spectroscopy: Towards single-cell analysis. Biochim Biophys Acta Mol Cell Biol Lipids 2024; 1869:159484. [PMID: 38521491 DOI: 10.1016/j.bbalip.2024.159484] [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: 12/30/2023] [Revised: 03/01/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
Perivascular adipose tissue (PVAT) has emerged as a dynamic organ influencing vascular function and cardiovascular health. In this brief review, an overview of the recent research in the investigation of PVAT is presented, ranging from in vivo studies to single-cell methodologies, in particular those based on Raman spectroscopy. The strengths and limitations of each, emphasizing their contributions to the current understanding of PVAT biology were discussed. Ultimately, the integration of these diverse methodologies promises to uncover new therapeutic targets and diagnostic biomarkers, including those emerging from simple Raman spectroscopy-based measurements of alterations in lipid unsaturation degree, invariably associated with PVAT dysfunction.
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Affiliation(s)
- Ewa Stanek
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland; Jagiellonian University, Doctoral School of Exact and Natural Sciences, 11 Lojasiewicza Str., 30-348 Krakow, Poland
| | - Krzysztof Czamara
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland.
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West HW, Dangas K, Antoniades C. Advances in Clinical Imaging of Vascular Inflammation: A State-of-the-Art Review. JACC Basic Transl Sci 2024; 9:710-732. [PMID: 38984055 PMCID: PMC11228120 DOI: 10.1016/j.jacbts.2023.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/12/2023] [Accepted: 10/12/2023] [Indexed: 07/11/2024]
Abstract
Vascular inflammation is a major contributor to cardiovascular disease, particularly atherosclerotic disease, and early detection of vascular inflammation may be key to the ultimate reduction of residual cardiovascular morbidity and mortality. This review paper discusses the progress toward the clinical utility of noninvasive imaging techniques for assessing vascular inflammation, with a focus on coronary atherosclerosis. A discussion of multiple modalities is included: computed tomography (CT) imaging (the major focus of the review), cardiac magnetic resonance, ultrasound, and positron emission tomography imaging. The review covers recent progress in new technologies such as the novel CT biomarkers of coronary inflammation (eg, the perivascular fat attenuation index), new inflammation-specific tracers for positron emission tomography-CT imaging, and others. The strengths and limitations of each modality are explored, highlighting the potential for multi-modality imaging and the use of artificial intelligence image interpretation to improve both diagnostic and prognostic potential for common conditions such as coronary artery disease.
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Affiliation(s)
- Henry W West
- Acute Multidisciplinary Imaging and Interventional Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Central Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Katerina Dangas
- Acute Multidisciplinary Imaging and Interventional Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Charalambos Antoniades
- Acute Multidisciplinary Imaging and Interventional Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
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Kwiecinski J. Role of 18F-sodium fluoride positron emission tomography in imaging atherosclerosis. J Nucl Cardiol 2024; 35:101845. [PMID: 38479575 DOI: 10.1016/j.nuclcard.2024.101845] [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: 12/17/2023] [Revised: 02/26/2024] [Accepted: 03/06/2024] [Indexed: 04/08/2024]
Abstract
Atherosclerosis involving vascular beds across the human body remains the leading cause of death worldwide. Coronary and peripheral artery disease, which are almost universally a result of atherosclerotic plaque, can manifest clinically as myocardial infarctions, ischemic stroke, or acute lower-limb ischemia. Beyond imaging myocardial perfusion and blood-flow, nuclear imaging has the potential to depict the activity of the processes that are directly implicated in the atherosclerotic plaque progression and rupture. Out of several tested tracers to date, the literature is most advanced for 18F-sodium fluoride positron emission tomography. In this review, we present the latest data in the field of atherosclerotic 18F-sodium fluoride positron emission tomography imaging, discuss the advantages and limitation of the techniques, and highlight the aspects that require further research in the future.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
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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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Guimarães J, de Almeida J, Mendes PL, Ferreira MJ, Gonçalves L. Advancements in non-invasive imaging of atherosclerosis: Future perspectives. J Clin Lipidol 2024; 18:e142-e152. [PMID: 38142178 DOI: 10.1016/j.jacl.2023.11.008] [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: 07/23/2023] [Revised: 11/11/2023] [Accepted: 11/14/2023] [Indexed: 12/25/2023]
Abstract
Atherosclerosis is a chronic inflammatory disease characterized by the buildup of plaques in arterial walls, leading to cardiovascular diseases and high morbidity and mortality rates worldwide. Non-invasive imaging techniques play a crucial role in evaluating patients with suspected or established atherosclerosis. However, there is a growing body of evidence suggesting the need to visualize the underlying processes of plaque progression and rupture to enhance risk stratification. This review explores recent advancements in non-invasive assessment of atherosclerosis, focusing on computed tomography, magnetic resonance imaging, and nuclear imaging. These advancements provide valuable insights into the assessment and management of atherosclerosis, potentially leading to better risk stratification and improved patient outcomes.
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Affiliation(s)
- Joana Guimarães
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal.
| | - José de Almeida
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal
| | - Paulo Lázaro Mendes
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal
| | - Maria João Ferreira
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal; Faculty of Medicine, Coimbra's University, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
| | - Lino Gonçalves
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal; Faculty of Medicine, Coimbra's University, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
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11
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Badimon L, Arderiu G, Vilahur G, Padro T, Cordero A, Mendieta G. Perivascular and epicardial adipose tissue. Vascul Pharmacol 2024; 154:107254. [PMID: 38072220 DOI: 10.1016/j.vph.2023.107254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/29/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023]
Affiliation(s)
- Lina Badimon
- Cardiovascular-Program ICCC; Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain; Ciber CV, Instituto Carlos III, Madrid, Spain; Red TERAV, Instituto Carlos III, Madrid, Spain.
| | - Gemma Arderiu
- Cardiovascular-Program ICCC; Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain; Ciber CV, Instituto Carlos III, Madrid, Spain; Red TERAV, Instituto Carlos III, Madrid, Spain
| | - Gemma Vilahur
- Cardiovascular-Program ICCC; Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain; Ciber CV, Instituto Carlos III, Madrid, Spain; Red TERAV, Instituto Carlos III, Madrid, Spain
| | - Teresa Padro
- Cardiovascular-Program ICCC; Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain; Ciber CV, Instituto Carlos III, Madrid, Spain; Red TERAV, Instituto Carlos III, Madrid, Spain
| | - Alberto Cordero
- Ciber CV, Instituto Carlos III, Madrid, Spain; Cardiology Department, Hospital IMED Elche, Alicante, Spain
| | - Guiomar Mendieta
- Cardiology Department, Hospital Clinic, IDIBAPS, Barcelona, Spain
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12
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Liu H, Li D. Analysis of the correlation between pericoronary adipose tissue mean attenuation and plaque characteristics and stenosis in coronary CT angiography. Medicine (Baltimore) 2024; 103:e37014. [PMID: 38335380 PMCID: PMC10860938 DOI: 10.1097/md.0000000000037014] [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: 10/12/2023] [Revised: 12/01/2023] [Accepted: 01/02/2024] [Indexed: 02/12/2024] Open
Abstract
Coronary artery disease (CAD) is a predominant cardiovascular disorder, particularly in the aging population. The pathophysiology of atherosclerosis involves lipid deposition and inflammation of the arterial walls. With coronary computed tomography angiography offering insights into coronary anatomy and pathology, parameters such as pericoronary adipose tissue mean attenuation (PCATMA) have gained significance in the understanding of cardiac diseases. A retrospective study encompassing 130 patients with CAD was conducted to analyze 269 observation points. Coronary CT Angiography was employed, with specific attention paid to the measurement of PCATMA and a qualitative and quantitative assessment of plaques. Statistical analyses were performed using Statistical Package for the Social Sciences software (version 27.0), independent samples t test, one-way ANOVA, and multivariate logistic regression analysis. There was a notable correlation between PCATMA expression and severity of coronary artery calcification and stenosis. Patients with higher coronary artery calcification scores and more pronounced stenosis had elevated PCATMA values. Variances in PCATMA based on plaque type and degree of stenosis were significant (P < .05). Multivariate logistic regression revealed that plaque presence, type, and degree of stenosis were independent determinants of PCATMA expression. PCATMA expression is closely associated with CAD progression. As plaque calcification and arterial stenosis increase, there is a concomitant increase in PCATMA expression, potentially serving as a pivotal prognostic indicator.
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Affiliation(s)
- Haolei Liu
- Department of Cardiothoracic Imaging, Tianjin Medical University, Tianjin, China
- Department of Cardiothoracic Imaging, Cangzhou People’s Hospital, Cangzhou, China
| | - Dong Li
- Department of Radiology, Tianjin General Hospital of Tianjin Medical University, Tianjin, China
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13
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Chen M, Liu B, Li X, Li D, Fan L. Relationship between peri-coronary inflammation and coronary vascular function in patients with suspected coronary artery disease. Front Cardiovasc Med 2024; 11:1303529. [PMID: 38390440 PMCID: PMC10881729 DOI: 10.3389/fcvm.2024.1303529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 01/25/2024] [Indexed: 02/24/2024] Open
Abstract
Background In this study, we aim to investigate the relationship between the attenuation of peri-coronary adipose tissue (PCAT) in patients with suspected coronary artery disease (CAD) and the assessment of coronary vascular functions using coronary flow reserve (CFR). Methods We included 364 patients who underwent 13N-NH3 positron emission tomography/computed tomography and coronary computed tomography angiography (CCTA). We determined the relationship between fat attenuation index (FAI), PCAT volume, and other qualitative CT-derived anatomic parameters with CFR. Results We detected a decrease in CFR (<2.5) in 206 (57%) patients. At the patient level, those with reduced CFR showed a significantly higher prevalence of diffused atherosclerosis (41% vs. 23%; P < 0.001) and higher FAI (-75.5 HU vs. -77.1 HU; P = 0.014). In patients without obstructive CAD, FAI was significantly higher in those with reduced CFR (-75.5 HU vs. -77.7 HU, P = 0.026). On the vessel level, 1,092 vessels were analyzed, and 642 (59%) exhibited reduced CFR. The vessels with reduced CFR presented a significantly higher prevalence of obstructive CAD (37% vs. 26%; P < 0.001), diffused atherosclerosis (22% vs. 11%; P < 0.001), low-attenuation plaque (6% vs. 3%; P = 0.030), and positive remodeling (7% vs. 2%; P = 0.001). FAI was higher in vessels with reduced CFR (-80.8 HU vs. -81.8 HU; P = 0.045) than in normal CFR. In the patient-level analysis, obstructive CAD, diffused atherosclerosis, and FAI were independently linked with CFR. FAI was still associated with global CFR after adjusting for traditional risk factors (age, hypertension, diabetes, hyperlipidemia, and smoking). FAI remained independently associated with reduced CFR in patients without obstructive CAD. Conclusions Coronary perivascular inflammation evaluated by CCTA was independently associated with coronary vascular function. In patients without obstructive CAD, FAI was higher in the presence of reduced CFR. Altogether, FAI can help reveal microcirculatory damage in patients who do not exhibit epicardial artery stenosis.
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Affiliation(s)
- Mengyu Chen
- Department of Radiology, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China
- Department of Radiology, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Molecular Regulation of Cardiovascular Diseases and Translational Medicine, Tianjin, China
| | - Bing Liu
- Department of Radiology, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China
- Department of Radiology, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Molecular Regulation of Cardiovascular Diseases and Translational Medicine, Tianjin, China
| | - Xu Li
- Department of Radiology, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China
- Department of Radiology, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Molecular Regulation of Cardiovascular Diseases and Translational Medicine, Tianjin, China
| | - Dong Li
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Lijuan Fan
- Department of Radiology, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China
- Department of Radiology, TEDA International Cardiovascular Hospital, Tianjin University, Tianjin, China
- Tianjin Key Laboratory of Molecular Regulation of Cardiovascular Diseases and Translational Medicine, Tianjin, China
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14
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Yamamoto T, Kawamori H, Toba T, Sasaki S, Fujii H, Hamana T, Osumi Y, Iwane S, Naniwa S, Sakamoto Y, Matsuhama K, Fukuishi Y, Hirata K, Otake H. Impact of Pericoronary Adipose Tissue Attenuation on Periprocedural Myocardial Injury in Patients With Chronic Coronary Syndrome. J Am Heart Assoc 2024; 13:e031209. [PMID: 38240235 PMCID: PMC11056154 DOI: 10.1161/jaha.123.031209] [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: 05/30/2023] [Accepted: 11/15/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Perivascular inflammation contributes to the development of atherosclerosis and microcirculatory dysfunction. Pericoronary adipose tissue (PCAT) attenuation, measured by coronary computed tomography angiography, is a potential indicator of coronary inflammation. However, the relationship between PCAT attenuation, microcirculatory dysfunction, and periprocedural myocardial injury (PMI) remains unclear. METHODS AND RESULTS Patients with chronic coronary syndrome who underwent coronary computed tomography angiography before percutaneous coronary intervention were retrospectively identified. PCAT attenuation and adverse plaque characteristics were assessed using coronary computed tomography angiography. The extent of microcirculatory dysfunction was evaluated using the angio-based index of microcirculatory resistance before and after percutaneous coronary intervention. Overall, 125 consecutive patients were included, with 50 experiencing PMI (PMI group) and 75 without PMI (non-PMI group). Multivariable analysis showed that older age, higher angio-based index of microcirculatory resistance, presence of adverse plaque characteristics, and higher lesion-based PCAT attenuation were independently associated with PMI occurrence (odds ratio [OR], 1.07 [95% CI, 1.01-1.13]; P=0.02; OR, 1.06 [95% CI, 1.00-1.12]; P=0.04; OR, 6.62 [95% CI, 2.13-20.6]; P=0.001; and OR, 2.89 [95% CI, 1.63-5.11]; P<0.001, respectively). High PCAT attenuation was correlated with microcirculatory dysfunction before and after percutaneous coronary intervention and its exacerbation during percutaneous coronary intervention. Adding lesion-based PCAT attenuation to the presence of adverse plaque characteristics improved the discriminatory and reclassification ability in predicting PMI. CONCLUSIONS Adding PCAT attenuation at the culprit lesion level to coronary computed tomography angiography-derived adverse plaque characteristics may provide incremental benefit in identifying patients at risk of PMI. Our results highlight the importance of microcirculatory dysfunction in PMI development, particularly in the presence of lesions with high PCAT attenuation. REGISTRATION URL: https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000057722; Unique identifier: UMIN000050662.
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Affiliation(s)
- Tetsuya Yamamoto
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Hiroyuki Kawamori
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Takayoshi Toba
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Satoru Sasaki
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Hiroyuki Fujii
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Tomoyo Hamana
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Yuto Osumi
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Seigo Iwane
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Shota Naniwa
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Yuki Sakamoto
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Koshi Matsuhama
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Yuta Fukuishi
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Ken‐ichi Hirata
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
| | - Hiromasa Otake
- Division of Cardiovascular Medicine, Department of Internal MedicineKobe University Graduate School of MedicineKobeJapan
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15
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Miller RJH, Shanbhag A, Killekar A, Lemley M, Bednarski B, Van Kriekinge SD, Kavanagh PB, Feher A, Miller EJ, Einstein AJ, Ruddy TD, Liang JX, Builoff V, Berman DS, Dey D, Slomka PJ. AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. NPJ Digit Med 2024; 7:24. [PMID: 38310123 PMCID: PMC10838293 DOI: 10.1038/s41746-024-01020-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/18/2024] [Indexed: 02/05/2024] Open
Abstract
Epicardial adipose tissue (EAT) volume and attenuation are associated with cardiovascular risk, but manual annotation is time-consuming. We evaluated whether automated deep learning-based EAT measurements from ungated computed tomography (CT) are associated with death or myocardial infarction (MI). We included 8781 patients from 4 sites without known coronary artery disease who underwent hybrid myocardial perfusion imaging. Of those, 500 patients from one site were used for model training and validation, with the remaining patients held out for testing (n = 3511 internal testing, n = 4770 external testing). We modified an existing deep learning model to first identify the cardiac silhouette, then automatically segment EAT based on attenuation thresholds. Deep learning EAT measurements were obtained in <2 s compared to 15 min for expert annotations. There was excellent agreement between EAT attenuation (Spearman correlation 0.90 internal, 0.82 external) and volume (Spearman correlation 0.90 internal, 0.91 external) by deep learning and expert segmentation in all 3 sites (Spearman correlation 0.90-0.98). During median follow-up of 2.7 years (IQR 1.6-4.9), 565 patients experienced death or MI. Elevated EAT volume and attenuation were independently associated with an increased risk of death or MI after adjustment for relevant confounders. Deep learning can automatically measure EAT volume and attenuation from low-dose, ungated CT with excellent correlation with expert annotations, but in a fraction of the time. EAT measurements offer additional prognostic insights within the context of hybrid perfusion imaging.
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Affiliation(s)
- Robert J H Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
| | - Aakash Shanbhag
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
| | - Aditya Killekar
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Lemley
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bryan Bednarski
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Serge D Van Kriekinge
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul B Kavanagh
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Attila Feher
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew J Einstein
- Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA
| | - Terrence D Ruddy
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Joanna X Liang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Valerie Builoff
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel S Berman
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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16
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Mátyás BB, Benedek I, Raț N, Blîndu E, Parajkó Z, Mihăilă T, Benedek T. Assessing the Impact of Long-Term High-Dose Statin Treatment on Pericoronary Inflammation and Plaque Distribution-A Comprehensive Coronary CTA Follow-Up Study. Int J Mol Sci 2024; 25:1700. [PMID: 38338972 PMCID: PMC10855947 DOI: 10.3390/ijms25031700] [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: 01/03/2024] [Revised: 01/23/2024] [Accepted: 01/28/2024] [Indexed: 02/12/2024] Open
Abstract
Computed tomography angiography (CTA) has validated the use of pericoronary adipose tissue (PCAT) attenuation as a credible indicator of coronary inflammation, playing a crucial role in coronary artery disease (CAD). This study aimed to evaluate the long-term effects of high-dose statins on PCAT attenuation at coronary lesion sites and changes in plaque distribution. Our prospective observational study included 52 patients (mean age 60.43) with chest pain, a low-to-intermediate likelihood of CAD, who had documented atheromatous plaque through CTA, performed approximately 1 year and 3 years after inclusion. We utilized the advanced features of the CaRi-Heart® and syngo.via Frontier® systems to assess coronary plaques and changes in PCAT attenuation. The investigation of changes in plaque morphology revealed significant alterations. Notably, in mixed plaques, calcified portions increased (p < 0.0001), while non-calcified plaque volume (NCPV) decreased (p = 0.0209). PCAT attenuation generally decreased after one year and remained low, indicating reduced inflammation in the following arteries: left anterior descending artery (LAD) (p = 0.0142), left circumflex artery (LCX) (p = 0.0513), and right coronary artery (RCA) (p = 0.1249). The CaRi-Heart® risk also decreased significantly (p = 0.0041). Linear regression analysis demonstrated a correlation between increased PCAT attenuation and higher volumes of NCPV (p < 0.0001, r = 0.3032) and lipid-rich plaque volume (p < 0.0001, r = 0.3281). Our study provides evidence that high-dose statin therapy significantly reduces CAD risk factors, inflammation, and plaque vulnerability, as evidenced by the notable decrease in PCAT attenuation, a critical indicator of plaque progression.
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Affiliation(s)
- Botond Barna Mátyás
- Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania; (B.B.M.); (I.B.); (E.B.); (Z.P.); (T.M.); (T.B.)
- Doctoral School of Medicine and Pharmacy, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
| | - Imre Benedek
- Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania; (B.B.M.); (I.B.); (E.B.); (Z.P.); (T.M.); (T.B.)
- Department of Cardiology, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
| | - Nóra Raț
- Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania; (B.B.M.); (I.B.); (E.B.); (Z.P.); (T.M.); (T.B.)
- Department of Cardiology, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
| | - Emanuel Blîndu
- Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania; (B.B.M.); (I.B.); (E.B.); (Z.P.); (T.M.); (T.B.)
- Doctoral School of Medicine and Pharmacy, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
| | - Zsolt Parajkó
- Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania; (B.B.M.); (I.B.); (E.B.); (Z.P.); (T.M.); (T.B.)
- Doctoral School of Medicine and Pharmacy, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
| | - Theofana Mihăilă
- Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania; (B.B.M.); (I.B.); (E.B.); (Z.P.); (T.M.); (T.B.)
- Doctoral School of Medicine and Pharmacy, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
| | - Theodora Benedek
- Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania; (B.B.M.); (I.B.); (E.B.); (Z.P.); (T.M.); (T.B.)
- Department of Cardiology, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania
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17
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Chen Q, Zhou F, Xie G, Tang CX, Gao X, Zhang Y, Yin X, Xu H, Zhang LJ. Advances in Artificial Intelligence-Assisted Coronary Computed Tomographic Angiography for Atherosclerotic Plaque Characterization. Rev Cardiovasc Med 2024; 25:27. [PMID: 39077649 PMCID: PMC11262402 DOI: 10.31083/j.rcm2501027] [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: 07/08/2023] [Revised: 09/01/2023] [Accepted: 09/13/2023] [Indexed: 07/31/2024] Open
Abstract
Coronary artery disease is a leading cause of death worldwide. Major adverse cardiac events are associated not only with coronary luminal stenosis but also with atherosclerotic plaque components. Coronary computed tomography angiography (CCTA) enables non-invasive evaluation of atherosclerotic plaque along the entire coronary tree. However, precise and efficient assessment of plaque features on CCTA is still a challenge for physicians in daily practice. Artificial intelligence (AI) refers to algorithms that can simulate intelligent human behavior to improve clinical work efficiency. Recently, cardiovascular imaging has seen remarkable advancements with the use of AI. AI-assisted CCTA has the potential to facilitate the clinical workflow, offer objective and repeatable quantitative results, accelerate the interpretation of reports, and guide subsequent treatment. Several AI algorithms have been developed to provide a comprehensive assessment of atherosclerotic plaques. This review serves to highlight the cutting-edge applications of AI-assisted CCTA in atherosclerosis plaque characterization, including detecting obstructive plaques, assessing plaque volumes and vulnerability, monitoring plaque progression, and providing risk assessment. Finally, this paper discusses the current problems and future directions for implementing AI in real-world clinical settings.
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Affiliation(s)
- Qian Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, 210006 Nanjing, Jiangsu, China
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002 Nanjing, Jiangsu, China
| | - Fan Zhou
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002 Nanjing, Jiangsu, China
| | - Guanghui Xie
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, 210006 Nanjing, Jiangsu, China
| | - Chun Xiang Tang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002 Nanjing, Jiangsu, China
| | - Xiaofei Gao
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, 210006 Nanjing, Jiangsu, China
| | - Yamei Zhang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, 210006 Nanjing, Jiangsu, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, 210006 Nanjing, Jiangsu, China
| | - Hui Xu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, 210006 Nanjing, Jiangsu, China
| | - Long Jiang Zhang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, 210002 Nanjing, Jiangsu, China
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18
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Foldyna B, Mayrhofer T, Zanni MV, Lyass A, Barve R, Karady J, McCallum S, Burdo TH, Fitch KV, Paradis K, Fulda ES, Diggs MR, Bloomfield GS, Malvestutto CD, Fichtenbaum CJ, Aberg JA, Currier JS, Ribaudo HJ, Hoffmann U, Lu MT, Douglas PS, Grinspoon SK. Pericoronary Adipose Tissue Density, Inflammation, and Subclinical Coronary Artery Disease Among People With HIV in the REPRIEVE Cohort. Clin Infect Dis 2023; 77:1676-1686. [PMID: 37439633 PMCID: PMC10724469 DOI: 10.1093/cid/ciad419] [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: 04/06/2023] [Revised: 06/30/2023] [Accepted: 07/10/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Pericoronary adipose tissue (PCAT) may influence plaque development through inflammatory mechanisms. We assessed PCAT density, as a measure of pericoronary inflammation, in relationship to coronary plaque among people with human immunodeficiency virus (HIV [PWH]) and to a matched control population. METHODS In this baseline analysis of 727 participants of the Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) Mechanistic Substudy, we related computed tomography-derived PCAT density to presence and extent (Leaman score) of coronary artery disease (CAD), noncalcified plaque, coronary artery calcium (CAC), and vulnerable plaque features using multivariable logistic regression analyses. We further compared the PCAT density between PWH and age, sex, body mass index, CAC score, and statin use-matched controls from the community-based Framingham Heart Study (N = 464), adjusting for relevant clinical covariates. RESULTS Among 727 REPRIEVE participants (age 50.8 ± 5.8 years; 83.6% [608/727] male), PCAT density was higher in those with (vs without) coronary plaque, noncalcified plaque, CAC >0, vulnerable plaque, and high CAD burden (Leaman score >5) (P < .001 for each comparison). PCAT density related to prevalent coronary plaque (adjusted odds ratio [per 10 HU]: 1.44; 95% confidence interval, 1.22-1.70; P < .001), adjusted for clinical cardiovascular risk factors, body mass index, and systemic immune/inflammatory biomarkers. Similarly, PCAT density related to CAC >0, noncalcified plaque, vulnerable plaque, and Leaman score >5 (all P ≤ .002). PCAT density was greater among REPRIEVE participants versus Framingham Heart Study (-88.2 ± 0.5 HU versus -90.6 ± 0.4 HU; P < .001). CONCLUSIONS Among PWH in REPRIEVE, a large primary cardiovascular disease prevention cohort, increased PCAT density independently associated with prevalence and severity of coronary plaque, linking increased coronary inflammation to CAD in PWH.
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Affiliation(s)
- Borek Foldyna
- Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Thomas Mayrhofer
- Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Health Economics, School of Business Studies, Stralsund University of Applied Sciences, Stralsund, Germany
| | - Markella V Zanni
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Asya Lyass
- Department of Mathematics and Statistics, Boston University, Boston, Massachusetts, USA
| | - Radhika Barve
- Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Julia Karady
- Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Sara McCallum
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Tricia H Burdo
- Department of Microbiology, Immunology, and Inflammation and Center for NeuroVirology and Gene Editing, Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kathleen V Fitch
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kayla Paradis
- Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Evelynne S Fulda
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marissa R Diggs
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Gerald S Bloomfield
- Department of Medicine, Duke Global Health Institute and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | - Carlos D Malvestutto
- Division of Infectious Diseases, Ohio State University Medical Center, Columbus, Ohio, USA
| | - Carl J Fichtenbaum
- Division of Infectious Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Judith A Aberg
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Judith S Currier
- Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Heather J Ribaudo
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Udo Hoffmann
- Innovative Imaging Consulting LLC, Waltham, Massachusetts, USA
| | - Michael T Lu
- Department of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Pamela S Douglas
- Department of Medicine (Cardiology), Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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19
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Kwiecinski J, Tzolos E, Williams MC, Dey D, Berman D, Slomka P, Newby DE, Dweck MR. Noninvasive Coronary Atherosclerotic Plaque Imaging. JACC Cardiovasc Imaging 2023; 16:1608-1622. [PMID: 38056987 DOI: 10.1016/j.jcmg.2023.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/06/2023] [Accepted: 08/16/2023] [Indexed: 12/08/2023]
Abstract
Coronary artery disease is the leading cause of morbidity and mortality worldwide. Despite remarkable advances in the management of coronary artery disease, the prediction of adverse coronary events remains challenging. Over the preceding decades, considerable effort has been made to improve risk stratification using noninvasive imaging. Recently, these efforts have increasingly focused on the direct imaging of coronary atherosclerotic plaque. Modern imaging now allows imaging of coronary plaque burden, plaque type, atherosclerotic plaque activity, and plaque thrombosis, which have major potential to refine patient risk stratification, aid decision making, and advance future clinical practice.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Evangelos Tzolos
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Michelle C Williams
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Damini Dey
- Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Daniel Berman
- Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Piotr Slomka
- Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
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20
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Pontone G, Rossi A, Gimelli A, Neglia D. Should we choose CT angiography first instead of SPECT/PET first for the diagnosis and management of coronary artery disease? Atherosclerosis 2023; 385:117315. [PMID: 37890440 DOI: 10.1016/j.atherosclerosis.2023.117315] [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: 06/21/2023] [Revised: 09/04/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
In patients presenting with chest pain, current guidelines recommend the use of coronary computed tomography angiography and single-photon emission tomography/positron emission tomography, both with equal class 1 indication and level of evidence A. There is no clear recommendation on which test should be used as a first-line test. The choice of the test should be based on individualized clinical risk assessment, patient characteristics, local expertise/availability, and patient preferences. In this context, it is fair to ask which non-invasive imaging test to choose. The debate reproduced in this article answers this question by summarizing the considerations in selecting present state-of-the-art criteria of the right test for the right patient to ensure efficient resource utilization, minimize unnecessary testing, and maximize diagnostic accuracy and therapeutic efficacy.
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Affiliation(s)
- Gianluca Pontone
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland
| | - Alessia Gimelli
- Imaging Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Danilo Neglia
- Cardiovascular and Imaging Departments, Fondazione Toscana Gabriele Monasterio, Pisa, Italy; Sant'Anna School of Advanced Studies, Pisa, Italy
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21
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Nishii T, Kobayashi T, Saito T, Kotoku A, Ohta Y, Kitahara S, Umehara K, Ota J, Horinouchi H, Morita Y, Noguchi T, Ishida T, Fukuda T. Deep Learning-based Post Hoc CT Denoising for the Coronary Perivascular Fat Attenuation Index. Acad Radiol 2023; 30:2505-2513. [PMID: 36868878 DOI: 10.1016/j.acra.2023.01.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/06/2023] [Accepted: 01/17/2023] [Indexed: 03/05/2023]
Abstract
RATIONALE AND OBJECTIVES Coronary inflammation related to high-risk hemorrhagic plaques can be captured by the perivascular fat attenuation index (FAI) using coronary computed tomography angiography (CCTA). Since the FAI is susceptible to image noise, we believe deep learning (DL)-based post hoc noise reduction can improve diagnostic capability. We aimed to assess the diagnostic performance of the FAI in DL-based denoised high-fidelity CCTA images compared with coronary plaque magnetic resonance imaging (MRI) delivered high-intensity hemorrhagic plaques (HIPs). MATERIALS AND METHODS We retrospectively reviewed 43 patients who underwent CCTA and coronary plaque MRI. We generated high-fidelity CCTA images by denoising the standard CCTA images using a residual dense network that supervised the denoising task by averaging three cardiac phases with nonrigid registration. We measured the FAIs as the mean CT value of all voxels (range of -190 to -30 HU) located within a radial distance from the outer proximal right coronary artery wall. The diagnostic reference standard was defined as HIPs (high-risk hemorrhagic plaques) using MRI. The diagnostic performance of the FAI in the original and denoised images was assessed using receiver operating characteristic curves. RESULTS Of 43 patients, 13 had HIPs. The denoised CCTA improved the area under the curve (0.89 [95% confidence interval (CI) 0.78-0.99]) of the FAI compared with that in the original image (0.77 [95% CI, 0.62-0.91], p = 0.008). The optimal cutoff value for predicting HIPs in denoised CCTA was -69 HU with 0.85 (11/13) sensitivity, 0.79 (25/30) specificity, and 0.80 (36/43) accuracy. CONCLUSION DL-based denoised high-fidelity CCTA improved the AUC and specificity of the FAI for predicting HIPs.
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Affiliation(s)
- Tatsuya Nishii
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
| | - Takuma Kobayashi
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan; Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Tatsuya Saito
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Akiyuki Kotoku
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yasutoshi Ohta
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Satoshi Kitahara
- Department of Cardiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kensuke Umehara
- Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Japan; Medical Informatics Section, QST Hospital, National Institutes for Quantum Science and Technology, Inage-ku, Chiba, Japan; Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Inage-ku, Chiba, Japan
| | - Junko Ota
- Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Japan; Medical Informatics Section, QST Hospital, National Institutes for Quantum Science and Technology, Inage-ku, Chiba, Japan; Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Inage-ku, Chiba, Japan
| | - Hiroki Horinouchi
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yoshiaki Morita
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Teruo Noguchi
- Department of Cardiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Takayuki Ishida
- Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Tetsuya Fukuda
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
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22
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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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23
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Antoniades C, Tousoulis D, Vavlukis M, Fleming I, Duncker DJ, Eringa E, Manfrini O, Antonopoulos AS, Oikonomou E, Padró T, Trifunovic-Zamaklar D, De Luca G, Guzik T, Cenko E, Djordjevic-Dikic A, Crea F. Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers. Eur Heart J 2023; 44:3827-3844. [PMID: 37599464 PMCID: PMC10568001 DOI: 10.1093/eurheartj/ehad484] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 05/03/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023] Open
Abstract
Obesity is a modifiable cardiovascular risk factor, but adipose tissue (AT) depots in humans are anatomically, histologically, and functionally heterogeneous. For example, visceral AT is a pro-atherogenic secretory AT depot, while subcutaneous AT represents a more classical energy storage depot. Perivascular adipose tissue (PVAT) regulates vascular biology via paracrine cross-talk signals. In this position paper, the state-of-the-art knowledge of various AT depots is reviewed providing a consensus definition of PVAT around the coronary arteries, as the AT surrounding the artery up to a distance from its outer wall equal to the luminal diameter of the artery. Special focus is given to the interactions between PVAT and the vascular wall that render PVAT a potential therapeutic target in cardiovascular diseases. This Clinical Consensus Statement also discusses the role of PVAT as a clinically relevant source of diagnostic and prognostic biomarkers of vascular function, which may guide precision medicine in atherosclerosis, hypertension, heart failure, and other cardiovascular diseases. In this article, its role as a 'biosensor' of vascular inflammation is highlighted with description of recent imaging technologies that visualize PVAT in clinical practice, allowing non-invasive quantification of coronary inflammation and the related residual cardiovascular inflammatory risk, guiding deployment of therapeutic interventions. Finally, the current and future clinical applicability of artificial intelligence and machine learning technologies is reviewed that integrate PVAT information into prognostic models to provide clinically meaningful information in primary and secondary prevention.
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Affiliation(s)
- Charalambos Antoniades
- Acute Multidisciplinary Imaging and Interventional Centre, RDM Division of Cardiovascular Medicine, University of Oxford, Headley Way, Headington, Oxford OX39DU, UK
| | - Dimitris Tousoulis
- 1st Cardiology Department, National and Kapodistrian University of Athens, Greece
| | - Marija Vavlukis
- Medical Faculty, University Clinic for Cardiology, University Ss’ Cyril and Methodius in Skopje, Skopje, North Macedonia
| | - Ingrid Fleming
- Institute for Vascular Signalling, Centre of Molecular Medicine, Goethe University, Frankfurt, Germany
| | - Dirk J Duncker
- Department of Cardiology, Thorax Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Etto Eringa
- Cardiovascular-Program ICCC, Research Institute—Hospital Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain
| | - Olivia Manfrini
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Alexios S Antonopoulos
- Acute Multidisciplinary Imaging and Interventional Centre, RDM Division of Cardiovascular Medicine, University of Oxford, Headley Way, Headington, Oxford OX39DU, UK
- 1st Cardiology Department, National and Kapodistrian University of Athens, Greece
| | - Evangelos Oikonomou
- 1st Cardiology Department, National and Kapodistrian University of Athens, Greece
| | - Teresa Padró
- Cardiovascular Program-ICCC, Institut d’Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- CiberCV, Institute Carlos III, Madrid, Spain
| | | | - Giuseppe De Luca
- Division of Cardiology, AOU Policlinico G. Martino, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
- Cardiologia Ospedaliera, Nuovo Galeazzi-Sant’Ambrogio, Milan, Italy
| | - Tomasz Guzik
- Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, UK
- Department of Medicine, Jagiellonian University, Collegium Medicum, Krakow, Poland
| | - Edina Cenko
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Ana Djordjevic-Dikic
- Medical Faculty, Cardiology Clinic, University Clinical Center, University of Belgrade, Serbia
| | - Filippo Crea
- Department of Cardiology and Pulmonary Sciences, Catholic University of the Sacred Heart, Rome, Italy
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24
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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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25
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Kitahara S, Kataoka Y, Miura H, Nishii T, Nishimura K, Murai K, Iwai T, Matama H, Honda S, Fujino M, Yoneda S, Takagi K, Otsuka F, Asaumi Y, Fujino Y, Tsujita K, Puri R, Nicholls SJ, Noguchi T. Characterization of plaque phenotypes exhibiting an elevated pericoronary adipose tissue attenuation: insights from the REASSURE-NIRS registry. Int J Cardiovasc Imaging 2023; 39:1943-1952. [PMID: 37380905 PMCID: PMC10589176 DOI: 10.1007/s10554-023-02907-w] [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: 12/11/2022] [Accepted: 06/19/2023] [Indexed: 06/30/2023]
Abstract
Inflammation has been considered to promote atheroma instability. Coronary computed tomography angiography (CCTA) visualizes pericoronary adipose tissue (PCAT) attenuation, which reflects coronary artery inflammation. While PCAT attenuation has been reported to predict future coronary events, plaque phenotypes exhibiting high PCAT attenuation remains to be fully elucidated. The current study aims to characterize coronary atheroma with a greater vascular inflammation. We retrospectively analyzed culprit lesions in 69 CAD patients receiving PCI from the REASSURE-NIRS registry (NCT04864171). Culprit lesions were evaluated by both CCTA and near-infrared spectroscopy/intravascular ultrasound (NIRS/IVUS) imaging prior to PCI. PCAT attenuation at proximal RCA (PCATRCA) and NIRS/IVUS-derived plaque measures were compared in patients with PCATRCA attenuation ≥ and < -78.3 HU (median). Lesions with PCATRCA attenuation ≥ -78.3 HU exhibited a greater frequency of maxLCBI4mm ≥ 400 (66% vs. 26%, p < 0.01), plaque burden ≥ 70% (94% vs. 74%, p = 0.02) and spotty calcification (49% vs. 6%, p < 0.01). Whereas positive remodeling (63% vs. 41%, p = 0.07) did not differ between two groups. On multivariable analysis, maxLCBI4mm ≥ 400 (OR = 4.07; 95%CI 1.12-14.74, p = 0.03), plaque burden ≥ 70% (OR = 7.87; 95%CI 1.01-61.26, p = 0.04), and spotty calcification (OR = 14.33; 95%CI 2.37-86.73, p < 0.01) independently predicted high PCATRCA attenuation. Of note, while the presence of only one plaque feature did not necessarily elevate PCATRCA attenuation (p = 0.22), lesions harboring two or more features were significantly associated with higher PCATRCA attenuation. More vulnerable plaque phenotypes were observed in patients with high PCATRCA attenuation. Our findings suggest PCATRCA attenuation as the presence of profound disease substrate, which potentially benefits from anti-inflammatory agents.
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Affiliation(s)
- Satoshi Kitahara
- Department of Cardiology, Kashiwa Kousei General Hospital, 617 Shikoda, Kashiwa, Chiba, 277-0862, Japan
- Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Chuo-Ku, Honjo, Kumamoto, 860-8556, Japan
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Yu Kataoka
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.
| | - Hiroyuki Miura
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Tatsuya Nishii
- Department of Radiology, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Kunihiro Nishimura
- Department of Preventive Medicine and Epidemiology, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Kota Murai
- Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Chuo-Ku, Honjo, Kumamoto, 860-8556, Japan
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Takamasa Iwai
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Hideo Matama
- Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Chuo-Ku, Honjo, Kumamoto, 860-8556, Japan
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Satoshi Honda
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Masashi Fujino
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Shuichi Yoneda
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Kensuke Takagi
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Fumiyuki Otsuka
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Yasuhide Asaumi
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Yusuke Fujino
- Department of Cardiology, Kashiwa Kousei General Hospital, 617 Shikoda, Kashiwa, Chiba, 277-0862, Japan
| | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Rishi Puri
- Department of Cardiovascular Medicine, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Stephen J Nicholls
- Victorian Heart Institute, Monash University, 631 Blackburn Rd, Clayton, VIC, 3168, Australia
| | - Teruo Noguchi
- Department of Advanced Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Chuo-Ku, Honjo, Kumamoto, 860-8556, Japan
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
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26
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Hou J, Zheng G, Han L, Shu Z, Wang H, Yuan Z, Peng J, Gong X. Coronary computed tomography angiography imaging features combined with computed tomography-fractional flow reserve, pericoronary fat attenuation index, and radiomics for the prediction of myocardial ischemia. J Nucl Cardiol 2023; 30:1838-1850. [PMID: 36859595 DOI: 10.1007/s12350-023-03221-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 01/19/2023] [Indexed: 03/03/2023]
Abstract
BACKGROUND This study aimed to predict myocardial ischemia (MIS) by constructing models with imaging features, CT-fractional flow reserve (CT-FFR), pericoronary fat attenuation index (pFAI), and radiomics based on coronary computed tomography angiography (CCTA). METHODS AND RESULTS This study included 96 patients who underwent CCTA and single photon emission computed tomography-myocardial perfusion imaging (SPECT-MPI). According to SPECT-MPI results, there were 72 vessels with MIS in corresponding supply area and 105 vessels with no-MIS. The conventional model [lesion length (LL), MDS (maximum stenosis diameter × 100% / reference vessel diameter), MAS (maximum stenosis area × 100% / reference vessel area) and CT value], radiomics model (radiomics features), and multi-faceted model (all features) were constructed using support vector machine. Conventional and radiomics models showed similar predictive efficacy [AUC: 0.76, CI 0.62-0.90 vs. 0.74, CI 0.61-0.88; p > 0.05]. Adding pFAI to the conventional model showed better predictive efficacy than adding CT-FFR (AUC: 0.88, CI 0.79-0.97 vs. 0.80, CI 0.68-0.92; p < 0.05). Compared with conventional and radiomics model, the multi-faceted model showed the highest predictive efficacy (AUC: 0.92, CI 0.82-0.98, p < 0.05). CONCLUSION pFAI is more effective for predicting MIS than CT-FFR. A multi-faceted model combining imaging features, CT-FFR, pFAI, and radiomics is a potential diagnostic tool for MIS.
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Affiliation(s)
- Jie Hou
- Jinzhou Medical University, Jinzhou, Liaoning Province, China
- Heart Center, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Address: No. 158 Shangtang Road, Hanghzou City, 310014, Zhejiang Province, China
| | - Guangying Zheng
- Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Lu Han
- Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Zhenyu Shu
- Heart Center, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Address: No. 158 Shangtang Road, Hanghzou City, 310014, Zhejiang Province, China
| | - Haochu Wang
- Heart Center, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Address: No. 158 Shangtang Road, Hanghzou City, 310014, Zhejiang Province, China
| | - Zhongyu Yuan
- Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Jiaxuan Peng
- Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Xiangyang Gong
- Heart Center, Department of Radiology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Address: No. 158 Shangtang Road, Hanghzou City, 310014, Zhejiang Province, China.
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27
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Sergienko VB, Ansheles AA. [Positron emission tomography in cardiological practice]. TERAPEVT ARKH 2023; 95:531-536. [PMID: 38159001 DOI: 10.26442/00403660.2023.07.202278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 09/28/2023] [Indexed: 01/03/2024]
Abstract
The utility of positron emission tomography in cardiology currently goes beyond the ischemic heart disease and covers an increasingly wider range of non-coronary pathology, which requires timely expert diagnostics, including chronic heart disease of any etiology, valvular and electrophysiology disorders, cardiooncology. Authors emphasize the importance of the development of positron emission tomography technologies in the Russian Federation. This includes the development and implementation of new radiopharmaceuticals for the diagnosis of pathological processes of the cardiovascular system, systemic and local inflammation, including atherosclerosis, impaired perfusion and myocardial metabolism, and also for solving specific diagnostic tasks in comorbid pathology.
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Affiliation(s)
- V B Sergienko
- Chazov National Medical Research Center of Cardiology
| | - A A Ansheles
- Chazov National Medical Research Center of Cardiology
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28
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Wolny RR, Kwieciński J, Zalewska J, Michałowska I, Kruk M, Kepka C, Prejbisz A, Pręgowski J, Chwała A, Skowroński J, Kobierska A, Ciesielski R, Januszewicz A, Witkowski A, Adlam D, Dey D, Kądziela J. Pericoronary adipose tissue density is increased in patients with recent spontaneous coronary dissection. Heart 2023; 109:1443-1449. [PMID: 37316164 DOI: 10.1136/heartjnl-2023-322482] [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: 02/02/2023] [Accepted: 05/14/2023] [Indexed: 06/16/2023] Open
Abstract
OBJECTIVE Inflammatory activity is one of the potential mechanisms of spontaneous coronary artery dissection (SCAD). Recently, the pericoronary adipose tissue attenuation (PCAT) derived from CT angiography (CTA) has been established as a method for measuring vascular inflammation. We aimed to characterise the pancoronary and vessel-specific PCAT in patients with and without recent SCAD. METHODS The study comprised patients with SCAD referred to a tertiary centre between 2017 and 2022 who underwent CTA and were compared with individuals with no prior SCAD. PCAT was analysed on end-diastolic CTA reconstructions along proximal 40 mm of all major coronary vessels as well as the SCAD-related vessel. We analysed 48 patients with recent SCAD (median 6.1 (IQR 3.5-14.9) months since SCAD, 95.8% female) and 48 patients in the group without SCAD. RESULTS Pancoronary PCAT was higher in patients with SCAD compared with those without SCAD (-80.6±7.9 vs -85.3 HU±6.1, p=0.002). Vessel-specific PCAT in patients with SCAD compared with patients without SCAD was higher for both the RCA (-80.9±9.5 vs -87.1±6.9 HU, p=0.001) and the LCA (-80.3±7.8 vs -83.4±7.2 HU, p=0.04). In patients with SCAD, PCAT of the SCAD-related vessel was not significantly different from averaged PCAT of unaffected vessels (-81.2±9.2 vs -80.6±7.6, p=0.74). There was no association between PCAT and the interval from SCAD to CTA. CONCLUSIONS Patients with recent SCAD have higher PCAT compared with patients without SCAD, suggesting an increased perivascular inflammatory activity. This association is not restricted to the dissected vessel.
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Affiliation(s)
- Rafał R Wolny
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Jacek Kwieciński
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Joanna Zalewska
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Ilona Michałowska
- Department of Radiology, National Institute of Cardiology, Warsaw, Poland
| | - Mariusz Kruk
- Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland
| | - Cezary Kepka
- Department of Coronary and Structural Heart Diseases, National Institute of Cardiology, Warsaw, Poland
| | - Aleksander Prejbisz
- Department of Epidemiology, Cardiovascular Disease Prevention and Health Promotion, National Institute of Cardiology, Warsaw, Poland
| | - Jerzy Pręgowski
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Alicja Chwała
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - Jarosław Skowroński
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | | | | | - Andrzej Januszewicz
- Department of Hypertension, National Institute of Cardiology, Warsaw, Poland
| | - Adam Witkowski
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
| | - David Adlam
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jacek Kądziela
- Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland
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29
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Yin R, Huang KX, Huang LA, Ji M, Zhao H, Li K, Gao A, Chen J, Li Z, Liu T, Shively JE, Kandeel F, Li J. Indole-Based and Cyclopentenylindole-Based Analogues Containing Fluorine Group as Potential 18F-Labeled Positron Emission Tomography (PET) G-Protein Coupled Receptor 44 (GPR44) Tracers. Pharmaceuticals (Basel) 2023; 16:1203. [PMID: 37765011 PMCID: PMC10534865 DOI: 10.3390/ph16091203] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/07/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Recently, growing evidence of the relationship between G-protein coupled receptor 44 (GPR44) and the inflammation-cancer system has garnered tremendous interest, while the exact role of GPR44 has not been fully elucidated. Currently, there is a strong and urgent need for the development of non-invasive in vivo GPR44 positron emission tomography (PET) radiotracers that can be used to aid the exploration of the relationship between inflammation and tumor biologic behavior. Accordingly, the choosing and radiolabeling of existing GPR44 antagonists containing a fluorine group could serve as a viable method to accelerate PET tracers development for in vivo imaging to this purpose. The present study aims to evaluate published (2000-present) indole-based and cyclopentenyl-indole-based analogues of the GPR44 antagonist to guide the development of fluorine-18 labeled PET tracers that can accurately detect inflammatory processes. The selected analogues contained a crucial fluorine nuclide and were characterized for various properties including binding affinity, selectivity, and pharmacokinetic and metabolic profile. Overall, 26 compounds with favorable to strong binding properties were identified. This review highlights the potential of GPR44 analogues for the development of PET tracers to study inflammation and cancer development and ultimately guide the development of targeted clinical therapies.
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Affiliation(s)
- Runkai Yin
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Kelly X. Huang
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Lina A. Huang
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Melinda Ji
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Hanyi Zhao
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Kathy Li
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Anna Gao
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Jiaqi Chen
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Zhixuan Li
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Tianxiong Liu
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - John E. Shively
- Department of Immunology & Theranostics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Fouad Kandeel
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
| | - Junfeng Li
- Department of Translational Research & Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA
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30
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Csecs I, Feher A. The fat and the flow: multiparametric imaging assessment of pericoronary adipose tissue and myocardial blood flow. J Nucl Cardiol 2023; 30:1570-1573. [PMID: 36929294 DOI: 10.1007/s12350-023-03247-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 02/22/2023] [Indexed: 03/18/2023]
Affiliation(s)
- Ibolya Csecs
- Department of Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Attila Feher
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
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31
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Kuronuma K, van Diemen PA, Han D, Lin A, Grodecki K, Kwiecinski J, Motwani M, McElhinney P, Tomasino GF, Park C, Kwan A, Tzolos E, Klein E, Shou B, Tamarappoo B, Cadet S, Danad I, Driessen RS, Berman DS, Slomka PJ, Dey D, Knaapen P. Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trial. J Nucl Cardiol 2023; 30:1558-1569. [PMID: 36645580 DOI: 10.1007/s12350-022-03194-z] [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: 07/31/2022] [Accepted: 12/02/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND Positron emission tomography (PET) is the clinical gold standard for quantifying myocardial blood flow (MBF). Pericoronary adipose tissue (PCAT) attenuation may detect vascular inflammation indirectly. We examined the relationship between MBF by PET and plaque burden and PCAT on coronary CT angiography (CCTA). METHODS This post hoc analysis of the PACIFIC trial included 208 patients with suspected coronary artery disease (CAD) who underwent [15O]H2O PET and CCTA. Low-attenuation plaque (LAP, < 30HU), non-calcified plaque (NCP), and PCAT attenuation were measured by CCTA. RESULTS In 582 vessels, 211 (36.3%) had impaired per-vessel hyperemic MBF (≤ 2.30 mL/min/g). In multivariable analysis, LAP burden was independently and consistently associated with impaired hyperemic MBF (P = 0.016); over NCP burden (P = 0.997). Addition of LAP burden improved predictive performance for impaired hyperemic MBF from a model with CAD severity and calcified plaque burden (P < 0.001). There was no correlation between PCAT attenuation and hyperemic MBF (r = - 0.11), and PCAT attenuation was not associated with impaired hyperemic MBF in univariable or multivariable analysis of all vessels (P > 0.1). CONCLUSION In patients with stable CAD, LAP burden was independently associated with impaired hyperemic MBF and a stronger predictor of impaired hyperemic MBF than NCP burden. There was no association between PCAT attenuation and hyperemic MBF.
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Affiliation(s)
- Keiichiro Kuronuma
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiology, Nihon University, Tokyo, Japan
| | | | - Donghee Han
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrew Lin
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Kajetan Grodecki
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Manish Motwani
- Manchester Heart Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Priscilla McElhinney
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Guadalupe Flores Tomasino
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Caroline Park
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Alan Kwan
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Evangelos Tzolos
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Eyal Klein
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Benjamin Shou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Balaji Tamarappoo
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sebastien Cadet
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
| | - Daniel S Berman
- Department of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J Slomka
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands
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32
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Pugliese L, Ricci F, Sica G, Scaglione M, Masala S. Non-Contrast and Contrast-Enhanced Cardiac Computed Tomography Imaging in the Diagnostic and Prognostic Evaluation of Coronary Artery Disease. Diagnostics (Basel) 2023; 13:2074. [PMID: 37370969 DOI: 10.3390/diagnostics13122074] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/07/2023] [Accepted: 06/11/2023] [Indexed: 06/29/2023] Open
Abstract
In recent decades, cardiac computed tomography (CT) has emerged as a powerful non-invasive tool for risk stratification, as well as the detection and characterization of coronary artery disease (CAD), which remains the main cause of morbidity and mortality in the world. Advances in technology have favored the increasing use of cardiac CT by allowing better performance with lower radiation doses. Coronary artery calcium, as assessed by non-contrast CT, is considered to be the best marker of subclinical atherosclerosis, and its use is recommended for the refinement of risk assessment in low-to-intermediate risk individuals. In addition, coronary CT angiography (CCTA) has become a gate-keeper to invasive coronary angiography (ICA) and revascularization in patients with acute chest pain by allowing the assessment not only of the extent of lumen stenosis, but also of its hemodynamic significance if combined with the measurement of fractional flow reserve or perfusion imaging. Moreover, CCTA provides a unique incremental value over functional testing and ICA by imaging the vessel wall, thus allowing the assessment of plaque burden, composition, and instability features, in addition to perivascular adipose tissue attenuation, which is a marker of vascular inflammation. There exists the potential to identify the non-obstructive lesions at high risk of progression to plaque rupture by combining all of these measures.
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Affiliation(s)
- Luca Pugliese
- Radiology Unit, Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, 00189 Rome, Italy
| | - Francesca Ricci
- Radiology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
| | - Giacomo Sica
- Radiology Unit, Monaldi Hospital, 80131 Napoli, Italy
| | - Mariano Scaglione
- Radiology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
| | - Salvatore Masala
- Radiology Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
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Yu MM, Zhao X, Chen YY, Tao XW, Ge JB, Jin H, Zeng MS. Evolocumab attenuate pericoronary adipose tissue density via reduction of lipoprotein(a) in type 2 diabetes mellitus: a serial follow-up CCTA study. Cardiovasc Diabetol 2023; 22:121. [PMID: 37217967 DOI: 10.1186/s12933-023-01857-w] [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: 04/04/2023] [Accepted: 05/12/2023] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Pericoronary adipose tissue (PCAT) density is a biomarker of vessel inflammation, which is supposed to be increased in patients with type 2 diabetes mellitus (T2DM). However, whether the coronary inflammation revealed by this novel index could be alleviated after evolocumab treatment in T2DM remains unknown. METHODS From January 2020 to December 2022, consecutive T2DM patients with low-density lipoprotein cholesterol ≥ 70 mg/dL on maximally tolerated statin and taking evolocumab were prospectively included. In addition, patients with T2DM who were taking statin alone were recruited as control group. The eligible patients underwent baseline and follow-up coronary CT angiography with an interval of 48-week. To render patients with evolocumab as comparable to those controls, a propensity-score matching design was used to select the matched pairs with a 1:1 ratio. Obstructive lesion was defined as the extent of coronary artery stenosis ≥ 50%; the numbers inside the brackets were interquartile ranges. RESULTS A total of 170 T2DM patients with stable chest pain were included [(mean age 64 ± 10.6 [range 40-85] years; 131 men). Among those patients, 85 were in evolocumab group and 85 were in control group. During follow-up, low-density lipoprotein cholesterol (LDL-C) level (2.02 [1.26, 2.78] vs. 3.34 [2.53, 4.14], p < 0.001), and lipoprotein(a) (12.1 [5.6, 21.8] vs. 18.9 [13.2, 27.2], p = 0.002) were reduced after evolocumab treatment. The prevalence of obstructive lesions and high-risk plaque features were significantly decreased (p < 0.05 for all). Furthermore, the calcified plaque volume were significantly increased (188.3 [115.7, 361.0] vs. 129.3 [59.5, 238.3], p = 0.015), while the noncalcified plaque volume and necrotic volume were diminished (107.5 [40.6, 180.6] vs. 125.0 [65.3, 269.7], p = 0.038; 0 [0, 4.7] vs. 0 [0, 13.4], p < 0.001, respectively). In addition, PCAT density of right coronary artery was significantly attenuated in evolocumab group (- 85.0 [- 89.0, - 82.0] vs. - 79.0 [- 83.5, - 74.0], p < 0.001). The change in the calcified plaque volume inversely correlated with achieved LDL-C level (r = - 0.31, p < 0.001) and lipoprotein(a) level (r = - 0.33, p < 0.001). Both the changes of noncalcified plaque volume and necrotic volume were positively correlated with achieved LDL-C level and Lp(a) (p < 0.001 for all). However, the change of PCATRCA density only positively correlated with achieved lipoprotein(a) level (r = 0.51, p < 0.001). Causal mediation analysis revealed Lp(a) level mediated 69.8% (p < 0.001) for the relationship between evolocumab and changes of PCATRCA. CONCLUSIONS In patients with T2DM, evolocumab is an effective therapy to decrease noncalcified plaque volume necrotic volume, and increase calcified plaque volume. Furthermore, evolocumab could attenuate PCAT density, at least in part, via the reduction of lipoprotein(a).
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Affiliation(s)
- Meng-Meng Yu
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China
| | - Xin Zhao
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Center for Interventional Medicine, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China
| | - Yin-Yin Chen
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China
| | - Xin-Wei Tao
- Bayer Healthcare, No. 399, West Haiyang Road, Shanghai, 200126, China
| | - Jun-Bo Ge
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China
| | - Hang Jin
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
| | - Meng-Su Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
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Blach A, Kwiecinski J. The Role of Positron Emission Tomography in Advancing the Understanding of the Pathogenesis of Heart and Vascular Diseases. Diagnostics (Basel) 2023; 13:1791. [PMID: 37238275 PMCID: PMC10217133 DOI: 10.3390/diagnostics13101791] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Cardiovascular disease remains the leading cause of morbidity and mortality worldwide. For developing new therapies, a better understanding of the underlying pathology is required. Historically, such insights have been primarily derived from pathological studies. In the 21st century, thanks to the advent of cardiovascular positron emission tomography (PET), which depicts the presence and activity of pathophysiological processes, it is now feasible to assess disease activity in vivo. By targeting distinct biological pathways, PET elucidates the activity of the processes which drive disease progression, adverse outcomes or, on the contrary, those that can be considered as a healing response. Given the insights provided by PET, this non-invasive imaging technology lends itself to the development of new therapies, providing a hope for the emergence of strategies that could have a profound impact on patient outcomes. In this narrative review, we discuss recent advances in cardiovascular PET imaging which have greatly advanced our understanding of atherosclerosis, ischemia, infection, adverse myocardial remodeling and degenerative valvular heart disease.
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Affiliation(s)
- Anna Blach
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-055 Katowice, Poland
- Nuclear Medicine Department, Voxel Diagnostic Center, 40-514 Katowice, Poland
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, 04-628 Warsaw, Poland
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Jing M, Xi H, Zhu H, Zhang B, Deng L, Han T, Zhang Y, Zhou J. Correlation of pericoronary adipose tissue CT attenuation values of plaques and periplaques with plaque characteristics. Clin Radiol 2023:S0009-9260(23)00172-1. [PMID: 37225572 DOI: 10.1016/j.crad.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 04/19/2023] [Accepted: 04/22/2023] [Indexed: 05/26/2023]
Abstract
AIM To investigate the relationship between different plaque characteristics and pericoronary adipose tissue (PCAT) computed tomography (CT) attenuation values for plaques and periplaques. MATERIALS AND METHODS The data from 188 eligible patients with stable coronary heart disease (280 lesions) who underwent coronary CT angiography between March 2021 and November 2021 were collected retrospectively. All PCAT CT attenuation values of plaques and periplaques (the area within 5 and 10 mm proximal and distal to the plaque) were calculated, and multiple linear regression was used to assess their correlation with different plaque characteristics. RESULTS PCAT CT attenuation of plaques and periplaques was higher in non-calcified plaques (-73.38 ± 10.41 HU, -76.77 ± 10.86 HU, 79.33 ± 11.13 HU, -75.67 ± 11.24 HU, -78.63 ± 12.09 HU) and mixed plaques (-76.83 ± 8.11 HU, -79 [-85, -68.5] HU, -78.55 ± 11 HU, -78.76 ± 9.9 HU, -78.79 ± 11.06 HU) than in calcified plaques (-86.96 ± 10 HU, -84 [-92, -76] HU, -84.14 ± 11.08 HU, -84.91 ± 11.41 HU, -84.59 ± 11.69 HU; all p<0.05) and higher in distal segment plaques than in proximal segment plaques (all p<0.05). Plaque PCAT CT attenuation was lower in plaques with minimal stenosis than in plaques with mild or moderate stenosis (p<0.05). The significant determinants of PCAT CT attenuation values of plaques and periplaques were non-calcified plaques, mixed plaques, and plaques located in the distal segment (all p<0.05). CONCLUSIONS PCAT CT attenuation values in both plaques and periplaques were related to plaque type and location.
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Affiliation(s)
- M Jing
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - H Xi
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - H Zhu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - B Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - L Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - T Han
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Y Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - J Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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Guaricci AI, Neglia D, Acampa W, Andreini D, Baggiano A, Bianco F, Carrabba N, Conte E, Gaudieri V, Mushtaq S, Napoli G, Pergola V, Pontone G, Pedrinelli R, Mercuro G, Indolfi C, Guglielmo M. Computed tomography and nuclear medicine for the assessment of coronary inflammation: clinical applications and perspectives. J Cardiovasc Med (Hagerstown) 2023; 24:e67-e76. [PMID: 37052223 DOI: 10.2459/jcm.0000000000001433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
There is increasing evidence that in patients with atherosclerotic cardiovascular disease (ASCVD) under optimal medical therapy, a persisting dysregulation of the lipid and glucose metabolism, associated with adipose tissue dysfunction and inflammation, predicts a substantial residual risk of disease progression and cardiovascular events. Despite the inflammatory nature of ASCVD, circulating biomarkers such as high-sensitivity C-reactive protein and interleukins may lack specificity for vascular inflammation. As known, dysfunctional epicardial adipose tissue (EAT) and pericoronary adipose tissue (PCAT) produce pro-inflammatory mediators and promote cellular tissue infiltration triggering further pro-inflammatory mechanisms. The consequent tissue modifications determine the attenuation of PCAT as assessed and measured by coronary computed tomography angiography (CCTA). Recently, relevant studies have demonstrated a correlation between EAT and PCAT and obstructive coronary artery disease, inflammatory plaque status and coronary flow reserve (CFR). In parallel, CFR is well recognized as a marker of coronary vasomotor function that incorporates the haemodynamic effects of epicardial, diffuse and small-vessel disease on myocardial tissue perfusion. An inverse relationship between EAT volume and coronary vascular function and the association of PCAT attenuation and impaired CFR have already been reported. Moreover, many studies demonstrated that 18F-FDG PET is able to detect PCAT inflammation in patients with coronary atherosclerosis. Importantly, the perivascular FAI (fat attenuation index) showed incremental value for the prediction of adverse clinical events beyond traditional risk factors and CCTA indices by providing a quantitative measure of coronary inflammation. As an indicator of increased cardiac mortality, it could guide early targeted primary prevention in a wide spectrum of patients. In this review, we summarize the current evidence regarding the clinical applications and perspectives of EAT and PCAT assessment performed by CCTA and the prognostic information derived by nuclear medicine.
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Affiliation(s)
- Andrea Igoren Guaricci
- University Cardiology Unit, Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari
| | - Danilo Neglia
- Cardiovascular Department, Fondazione Toscana Gabriele Monasterio (FTGM), Pisa
| | - Wanda Acampa
- Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Naples
| | - Daniele Andreini
- Centro Cardiologico Monzino IRCCS
- Department of Clinical Sciences and Community Health, Cardiovascular Section, Milan
| | - Andrea Baggiano
- Centro Cardiologico Monzino IRCCS
- Department of Clinical Sciences and Community Health, Cardiovascular Section, Milan
| | - Francesco Bianco
- Cardiovascular Sciences Department - AOU 'Ospedali Riuniti', Ancona
| | - Nazario Carrabba
- Department of Cardiothoracovascular Medicine, Azienda Ospedaliero-Universitaria Careggi, Florence
| | - Edoardo Conte
- Centro Cardiologico Monzino IRCCS
- Department of Biomedical Sciences for Health, University of Milan, Milan
| | - Valeria Gaudieri
- Department of Advanced Biomedical Sciences, University of Naples 'Federico II', Naples
| | | | - Gianluigi Napoli
- University Cardiology Unit, Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari
| | - Valeria Pergola
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova
| | | | | | - Giuseppe Mercuro
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari
| | - Ciro Indolfi
- Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Jing M, Sun J, Zhou Q, Sun J, Li X, Xi H, Zhang B, Lin X, Deng L, Han T, Zhou J. Pericoronary adipose tissue differences among plaque types: a retrospective assessment. Clin Imaging 2023; 96:58-63. [PMID: 36822014 DOI: 10.1016/j.clinimag.2023.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/19/2023]
Abstract
PURPOSE To assess differences in pericoronary adipose tissue (PCAT) in patients with different plaque types by using several quantitative parameters of PCAT and investigate the relationship between PCAT and different plaque types. MATERIALS AND METHODS We retrospectively recruited 488 patients diagnosed with stable coronary artery disease (CAD) via coronary computed tomographic angiography, including 279 with calcified plaques (CP), 153 with non-calcified plaques (NCP), and 56 with mixed plaques (MP). Volume, fat attenuation index (FAI), and 10th percentile, 90th percentile, median, and minimum Hounsfield unit (HU) values of PCAT surrounding plaques were quantified. Clinical features and quantitative PCAT parameters were compared between different plaque types. RESULTS No intergroup differences were observed for age, sex, body mass index, risk factors, and plaque location. Length and PCAT volume in the NCP group were lower than those of the CP and MP groups (P < 0.001), whereas there were no significant differences between the CP and MP groups (P > 0.05). Patients with NCP and MP had a higher FAI and 10th percentile, 90th percentile, median, and minimum HU values of PCAT than CP (P < 0.001); however these values were not significantly different between the NCP and MP groups (P > 0.05). CONCLUSION The quantitative parameters of PCAT, as a biosensor for CAD, vary among the different plaque types.
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Affiliation(s)
- Mengyuan Jing
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Jianqing Sun
- Shanghai United Imaging Research Institute of Intelligent Imaging, Shanghai, China
| | - Qing Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Jiachen Sun
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Xiangwen Li
- School of Public Health, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Huaze Xi
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Bin Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Xiaoqiang Lin
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Liangna Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Tao Han
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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Lorenzatti D, Piña P, Csecs I, Schenone AL, Gongora CA, Garcia MJ, Blaha MJ, Budoff MJ, Williams MC, Dey D, Berman DS, Virani SS, Slipczuk L. Does Coronary Plaque Morphology Matter Beyond Plaque Burden? Curr Atheroscler Rep 2023; 25:167-180. [PMID: 36808390 DOI: 10.1007/s11883-023-01088-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2023] [Indexed: 02/23/2023]
Abstract
PURPOSE OF REVIEW Imaging of adverse coronary plaque features by coronary computed tomography angiography (CCTA) has advanced greatly and at a fast pace. We aim to describe the evolution, present and future in plaque analysis, and its value in comparison to plaque burden. RECENT FINDINGS Recently, it has been demonstrated that in addition to plaque burden, quantitative and qualitative assessment of coronary plaque by CCTA can improve the prediction of future major adverse cardiovascular events in diverse coronary artery disease scenarios. The detection of high-risk non-obstructive coronary plaque can lead to higher use of preventive medical therapies such as statins and aspirin, help identify culprit plaque, and differentiate between myocardial infarction types. Even more, over traditional plaque burden, plaque analysis including pericoronary inflammation can potentially be useful tools for tracking disease progression and response to medical therapy. The identification of the higher risk phenotypes with plaque burden, plaque characteristics, or ideally both can allow the allocation of targeted therapies and potentially monitor response. Further observational data are now required to investigate these key issues in diverse populations, followed by rigorous randomized controlled trials.
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Affiliation(s)
- Daniel Lorenzatti
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Pamela Piña
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
- Cardiology Division, CEDIMAT Cardiovascular Center, Santo Domingo, Dominican Republic
| | - Ibolya Csecs
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Aldo L Schenone
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carlos A Gongora
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mario J Garcia
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor UCLA Medical Center, Torrance, CA, USA
| | - Michelle C Williams
- BHF Centre of Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, Queen's Medical Research Institute University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel S Berman
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Salim S Virani
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Section of Cardiology, Department of Medicine, The Aga Khan University, Karachi, Pakistan
| | - Leandro Slipczuk
- Cardiology Division, Montefiore Healthcare Network/Albert Einstein College of Medicine, Bronx, NY, USA.
- Clinical Cardiology, Advanced Cardiac Imaging, CV Atherosclerosis and Lipid Disorder Center, Montefiore Health System, NewYork, USA.
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De Azevedo D, Geers J, Gheysens O, Dweck M, Vancraeynest D. 18F-Sodium Fluoride PET/CT in Assessing Valvular Heart and Atherosclerotic Diseases. Semin Nucl Med 2023; 53:241-257. [PMID: 36116988 DOI: 10.1053/j.semnuclmed.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 08/22/2022] [Indexed: 11/11/2022]
Abstract
Aortic valve stenosis is the most common valvular disease in Western countries, while atherosclerotic cardiovascular disease is the foremost cause of death and disability worldwide. Valve degeneration and atherosclerosis are mediated by inflammation and calcification and inevitably progress over time. Computed tomography can visualise the later stages of macroscopic calcification but fails to assess the early stages of microcalcification and cannot differentiate active from burnt out disease states. Molecular imaging has the ability to provide complementary information related to disease activity, which may allow us to detect disease early, to predict disease progression and to monitor preventive or therapeutic strategies for in both aortic stenosis and atherosclerosis. PET/CT is a non-invasive imaging technique that enables visualization of ongoing molecular processes within small structures, such as the coronary arteries or heart valves. 18F-sodium fluoride (18F-NaF) binds hydroxyapatite deposits in the extracellular matrix, with preferential binding to newly developing deposits of microcalcification, which provides an assessment of calcification activity. In recent years, 18F-NaF has attracted the attention of many research groups and has been evaluated in several pathological cardiovascular processes. Histologic validation of the 18F-NaF PET signal in valvular disease and atherosclerosis has been reported in multiple independent studies. The selective high-affinity binding of 18F-NaF to microscopic calcified deposits (beyond the resolution of μCT) has been demonstrated ex vivo, as well as its ability to distinguish between areas of macro- and active microcalcification. In addition, prospective clinical studies have shown that baseline 18F-NaF uptake in patients with aortic stenosis and mitral annular calcification is correlated with subsequent calcium deposition and valvular dysfunction after a follow-up period of 2 years. In patients with surgical bioprosthetic aortic valves but without morphological criteria for prosthetic degeneration, increased 18F-NaF uptake at baseline was associated with subsequent bioprosthetic degeneration over time. Similar data were obtained in a cohort of patients with transcatheter aortic valve implantation. Furthermore, several studies have confirmed the association of coronary 18F-NaF uptake with adverse atherosclerotic plaque features, active disease and future disease progression. 18F-NaF uptake is also associated with future fatal or nonfatal myocardial infarction in patients with established coronary artery disease. The link between 18F-NaF uptake and active atherosclerotic disease has not only been demonstrated in the coronary arteries, but also in peripheral arterial disease, abdominal aortic aneurysms and carotid atherosclerosis. It can be assumed that 18F-NaF PET/CT will strengthen the diagnostic toolbox of practitioners in the coming years. Indeed, there is a strong medical need to diagnose degenerative valvular disease and to detect active atherosclerotic disease states. Finally, the use of 18F-NaF as a biomarker to monitor the efficacy of drug therapies in preventing these pathological processes is attractive. In this review, we consider the role of 18F-NaF PET/CT imaging in cardiac valvular diseases and atherosclerosis.
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Affiliation(s)
- David De Azevedo
- Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, and IREC/CARD UCLouvain, Brussels, Belgium.
| | - Jolien Geers
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, The Chancellor's Building, Little France Crescent, Midlothian, Edinburgh, UK; Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc and Institute of Clinical and Experimental Research (IREC), Université catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Marc Dweck
- Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - David Vancraeynest
- Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, and IREC/CARD UCLouvain, Brussels, Belgium
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Yu X, Botezatu S, Tzolos E, Dey D, Kwiecinski J. Pericoronary adipose tissue CT attenuation in coronary artery plaque inflammation. Heart 2023; 109:485-493. [PMID: 36627185 PMCID: PMC9974857 DOI: 10.1136/heartjnl-2022-321158] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Xinming Yu
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Simona Botezatu
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.,Cardiology Department, Euroecolab, University of Medicine and Pharmacy 'Carol Davila', Bucharest, Romania
| | - Evangelos Tzolos
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
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41
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Kuneman JH, van Rosendael SE, van der Bijl P, van Rosendael AR, Kitslaar PH, Reiber JH, Jukema JW, Leon MB, Ajmone Marsan N, Knuuti J, Bax JJ. Pericoronary Adipose Tissue Attenuation in Patients With Acute Coronary Syndrome Versus Stable Coronary Artery Disease. Circ Cardiovasc Imaging 2023; 16:e014672. [PMID: 36802444 PMCID: PMC9946175 DOI: 10.1161/circimaging.122.014672] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Pericoronary adipose tissue (PCAT) attenuation has been associated with coronary inflammation and can be evaluated with coronary computed tomography angiography. The aims of this study were to compare the PCAT attenuation across precursors of culprit and nonculprit lesions of patients with acute coronary syndrome versus stable coronary artery disease (CAD). METHODS In this case-control study, patients with suspected CAD who underwent coronary computed tomography angiography were included. Patients who developed an acute coronary syndrome within 2 years after the coronary computed tomography angiography scan were identified, and patients with stable CAD (defined as any coronary plaque ≥30% luminal diameter stenosis) were 1:2 propensity score matched for age, sex, and cardiac risk factors. The mean PCAT attenuation was analyzed at lesion level and compared between precursors of culprit lesions, nonculprit lesions, and stable coronary plaques. RESULTS In total, 198 patients (age 62±10 years, 65% male) were selected, including 66 patients who developed an acute coronary syndrome and 132 propensity matched patients with stable CAD. Overall, 765 coronary lesions were analyzed (culprit lesion precursors: n=66; nonculprit lesion precursors: n=207; and stable lesions: n=492). Culprit lesion precursors had larger total plaque volume, fibro-fatty plaque volume, and low-attenuation plaque volume compared to nonculprit and stable lesions. The mean PCAT attenuation was significantly higher across culprit lesion precursors compared to nonculprit and stable lesions (-63.8±9.7 Hounsfield units versus -68.8±10.6 Hounsfield units versus -69.6±10.6 Hounsfield units, respectively; P<0.001), whereas the mean PCAT attenuation around nonculprit and stable lesions was not significantly different (P=0.99). CONCLUSIONS The mean PCAT attenuation is significantly increased across culprit lesion precursors in patients with acute coronary syndrome, compared to nonculprit lesions of these patients and to lesions of patients with stable CAD, which may suggest a higher intensity of inflammation. PCAT attenuation on coronary computed tomography angiography may be a novel marker to identify high-risk plaques.
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Affiliation(s)
- Jurrien H. Kuneman
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.)
| | - Sophie E. van Rosendael
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.)
| | - Pieter van der Bijl
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.)
| | - Alexander R. van Rosendael
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.)
| | - Pieter H. Kitslaar
- Division of Image Processing, Department of Radiology, Leiden University Medical Centre, The Netherlands (P.H.K.).,Medis Medical Imaging, Leiden, The Netherlands (P.H.K.)
| | - Johan H.C. Reiber
- Department of Radiology, Leiden University Medical Center, The Netherlands (J.H.C.R.)
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.).,Netherlands Heart Institute, Utrecht, The Netherlands (J.W.J.)
| | - Martin B. Leon
- Department of Cardiology, Columbia University Irving Medical Center/New York-Presbyterian Hospital and Cardiovascular Research Foundation, NY (M.B.L.)
| | - Nina Ajmone Marsan
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.)
| | - Juhani Knuuti
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.).,Turku PET Centre, Turku University Hospital and University of Turku, Finland (J.K.)
| | - Jeroen J. Bax
- Department of Cardiology, Leiden University Medical Center, The Netherlands (J.H.K., S.E.v.R., P.v.d.R., A.R.v.R., J.W.J., N.A.M., J.K., J.J.B.).,Heart Center, Turku University Hospital and University of Turku, Finland (J.J.B.)
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42
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Advances in the Assessment of Coronary Artery Disease Activity with PET/CT and CTA. Tomography 2023; 9:328-341. [PMID: 36828378 PMCID: PMC9962109 DOI: 10.3390/tomography9010026] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 01/30/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
Non-invasive testing plays a pivotal role in the diagnosis, assessment of progression, response to therapy, and risk stratification of coronary artery disease. Although anatomical plaque imaging by computed tomography angiography (CTA) and ischemia detection with myocardial perfusion imaging studies are current standards of care, there is a growing body of evidence that imaging of the processes which drive atherosclerotic plaque progression and rupture has the potential to further enhance risk stratification. In particular, non-invasive imaging of coronary plaque inflammation and active calcification has shown promise in this regard. Positron emission tomography (PET) with newly-adopted radiotracers provides unique insights into atheroma activity acting as a powerful independent predictor of myocardial infarctions. Similarly, by providing a quantitative measure of coronary inflammation, the pericoronary adipose tissue density (PCAT) derived from standard coronary CTA enhances cardiac risk prediction and allows re-stratification over and above current state-of-the-art assessments. In this review, we shall discuss the recent advances in the non-invasive methods of assessment of disease activity by PET and CTA, highlighting how these methods could improve risk stratification and ultimately benefit patients with coronary artery disease.
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43
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Kwiecinski J. Novel PET Applications and Radiotracers for Imaging Cardiovascular Pathophysiology. Cardiol Clin 2023; 41:129-139. [PMID: 37003671 DOI: 10.1016/j.ccl.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
PET allows the assessment of cardiovascular pathophysiology across a wide range of cardiovascular conditions. By imaging processes directly involved in disease progression and adverse events, such as inflammation and developing calcifications (microcalcifications), PET can not only enhance our understanding of cardiovascular disease, but also, as shown for 18F-sodium fluoride, has the potential to predict hard endpoints. In this review, the recent advances in disease activity assessment with cardiovascular PET, which provide hope that this promising technology could be leveraged in the clinical setting, shall be discussed.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, KKiAI, Institute of Cardiology, Alpejska 42, Warsaw 04-628, Poland.
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44
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Antonopoulos AS, Simantiris S. Detecting the Vulnerable Patient: Toward Preventive Imaging by Coronary Computed Tomography Angiography. Circ Cardiovasc Imaging 2023; 16:e015135. [PMID: 36734240 DOI: 10.1161/circimaging.122.015135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Alexios S Antonopoulos
- First Cardiology Department, Hippokration Hospital, National and Kapodistrian University of Athens, Greece
| | - Spyridon Simantiris
- First Cardiology Department, Hippokration Hospital, National and Kapodistrian University of Athens, Greece
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45
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Boussoussou M, Vattay B, Szilveszter B, Simon J, Lin A, Vecsey-Nagy M, Konkoly G, Merkely B, Maurovich-Horvat P, Dey D, Kolossváry M. The effect of patient and imaging characteristics on coronary CT angiography assessed pericoronary adipose tissue attenuation and gradient. J Cardiovasc Comput Tomogr 2023; 17:34-42. [PMID: 36266205 DOI: 10.1016/j.jcct.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/24/2022] [Accepted: 09/30/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Coronary CT angiography (CCTA) pericoronary adipose tissue (PCAT) markers are promising indicators of inflammation. OBJECTIVE To determine the effect of patient and imaging parameters on the associations between non-calcified plaque (NCP) and PCAT attenuation and gradient. METHODS This was a single-center, retrospective analysis of consecutive patients with stable chest pain who underwent CCTA and had zero calcium scores. CCTA images were evaluated for the presence of NCP, obstructive stenosis, segment stenosis and involvement score (SSS, SIS), and high-risk plaque (HRP). PCAT markers were assessed using semi-automated software. Uni- and multivariable regression models correcting for patient and imaging characteristics between plaque and PCAT markers were evaluated. RESULTS Overall, 1652 patients had zero calcium score (mean age: 51 years ± 11 [SD], 871 women); PCAT attenuation values ranged between -123 HU and -51 HU, and 649 patients had plaque. In univariable analysis, the presence of NCP, SSS, SIS, and HRP were associated with PCAT attenuation (2, 1, 1, 6 HU; respectively; p < .001 all); while obstructive stenosis was not (1 HU, p = .58). In multivariable analysis, none of the plaque markers were associated with PCAT attenuation (0 HU p = .93, 0 HU p = .39, 1 HU p = .18, 2 HU p = .10, 1 HU p = .71, respectively), while patient and imaging characteristics showed significant associations, such as: male sex (1 HU, p = .003), heart rate [1/min] (-0.2 HU, p < .001), 120 kVp (8 HU, p < .001) and pixel spacing [mm3] (32 HU, p < .001). Similar results were observed for PCAT gradient. CONCLUSION PCAT markers were significantly associated with NCP, however the associations did not persist following correction for patient and imaging characteristics.
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Affiliation(s)
- Melinda Boussoussou
- Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary
| | - Borbála Vattay
- Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary
| | - Bálint Szilveszter
- Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary
| | - Judit Simon
- Semmelweis University Medical Imaging Center, 1082 Budapest, Korányi Sándor street 2., Hungary
| | - Andrew Lin
- Cedars-Sinai Medical Center, 8700 Beverly Blvd #2900A, Los Angeles, CA, 90048, USA
| | - Milán Vecsey-Nagy
- Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary
| | - Gábor Konkoly
- Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary
| | - Béla Merkely
- Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary
| | - Pál Maurovich-Horvat
- Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary; Semmelweis University Medical Imaging Center, 1082 Budapest, Korányi Sándor street 2., Hungary
| | - Damini Dey
- Cedars-Sinai Medical Center, 8700 Beverly Blvd #2900A, Los Angeles, CA, 90048, USA
| | - Márton Kolossváry
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Semmelweis University Heart and Vascular Center, 1122 Budapest, Városmajor street 68., Hungary.
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46
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Wen W, Gao M, Yun M, Meng J, Zhu Z, Yu W, Hacker M, Yu Y, Zhang X, Li X. Associations between coronary/aortic 18F-sodium fluoride uptake and pro-atherosclerosis factors in patients with multivessel coronary artery disease. J Nucl Cardiol 2022; 29:3352-3365. [PMID: 35415825 DOI: 10.1007/s12350-022-02958-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 03/08/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND 18F-NaF PET/CT is a novel approach to detect and quantify microcalcification in atherosclerosis. We aimed to explore the underlying systematic vascular osteogenesis in the coronary artery and aorta in patients with multivessel coronary artery disease (CAD). METHODS Patients with multivessel CAD prospectively underwent 18F-NaF PET/CT. The coronary microcalcification activity (CMA) and aortic microcalcification activity (AMA) were calculated based on both the volume and intensity of 18F-NaF PET activity. Peri-coronary adipose tissue (PCAT) density was measured in adipose tissue surrounding the coronary arteries and the 18F-NaF tissue-to-blood ratio (TBR) was measured in the coronary arteries. RESULTS 100 patients with multivessel CAD were prospectively recruited. The CMA was significantly associated with the AMA (r = 0.70; P < .001). After multivariable adjustment, the CMA was associated with the AMA (Beta = 0.445 per SD increase; P < .001). The coronary TBR was also significantly associated with the PCAT density (r = 0.56; P < .001). The PCAT density was independently associated with the coronary TBR after adjusting confounding factors. CONCLUSIONS Coronary 18F-NaF uptake was significantly associated with the PCAT density. There was a significant relationship between the coronary and the aortic 18F-NaF uptake. It might indicate an underlying systematic vascular osteogenesis in patients with multivessel CAD.
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Affiliation(s)
- Wanwan Wen
- Department of Nuclear Medicine, Molecular Imaging Lab, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Mingxin Gao
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Mingkai Yun
- Department of Nuclear Medicine, Molecular Imaging Lab, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jingjing Meng
- Department of Nuclear Medicine, Molecular Imaging Lab, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Ziwei Zhu
- Department of Nuclear Medicine, Molecular Imaging Lab, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wenyuan Yu
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Vienna General Hospital, Medical University of Vienna, Vienna, Austria
| | - Yang Yu
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Nuclear Medicine, Molecular Imaging Lab, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
| | - Xiang Li
- Department of Nuclear Medicine, Molecular Imaging Lab, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Vienna General Hospital, Medical University of Vienna, Vienna, Austria
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47
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Xi XY, Liu Z, Wang LF, Yang MF. Prognostic value of cardiac inflammation in ST-segment elevation myocardial infarction: A 18F-fluorodeoxyglucose PET/CT study. J Nucl Cardiol 2022; 29:3018-3027. [PMID: 34773185 DOI: 10.1007/s12350-021-02858-6] [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: 08/01/2021] [Accepted: 10/24/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND 18F-fluorodeoxyglucose (FDG) imaging is used to detect cardiac inflammation and predict functional outcome in acute myocardial infarction (MI). However, data on the correlation of post-MI acute cardiac inflammation evaluated by 18F-FDG imaging and major adverse cardiac events (MACE) are limited. Therefore, we sought to explore the prognostic value of cardiac 18F-FDG imaging in patients with acute ST-segment elevation MI (STEMI). METHODS Thirty-six patients with STEMI underwent 18F-FDG positron emission tomography/computed tomography (PET/CT) 5 days after primary percutaneous coronary intervention. 18F-FDG activity in infarcted and remote regions, as well as peri-coronary adipose tissue (PCAT), were measured and expressed as the maximum standardized uptake value (SUVmax). Patients were followed to determine the occurrence of MACE. RESULTS The infarcted myocardium had a higher 18F-FDG intensity than the remote area. Moreover, the PCAT of culprit coronary arteries showed a higher 18F-FDG uptake than that of non-culprit arteries. Multivariate Cox regression analysis showed that increased SUVmax of PCAT [HR 5.198; 95% CI (1.058, 25.537), P = .042] was independently associated with a higher risk of MACE. CONCLUSIONS Enhanced PCAT activity after acute MI is related to the occurrence of MACE, and 18F-FDG PET/CT plays a promising role in providing prognostic information in patients with STEMI.
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Affiliation(s)
- Xiao-Ying Xi
- Department of Nuclear Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Ze Liu
- Department of Cardiology, Peking University Third Hospital Yanqing Hospital, Beijing, 102100, China
| | - Le-Feng Wang
- Center of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
| | - Min-Fu Yang
- Department of Nuclear Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
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48
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Kwiecinski J. Imaging coronary and aortic microcalcification activity with 18F-sodium fluoride. J Nucl Cardiol 2022; 29:3366-3368. [PMID: 35562638 DOI: 10.1007/s12350-022-02992-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 04/08/2022] [Indexed: 01/18/2023]
Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
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49
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van der Bijl P, Kuneman JH, Bax JJ. Pericoronary adipose tissue attenuation: diagnostic and prognostic implications. Eur Heart J Cardiovasc Imaging 2022; 23:e537-e538. [PMID: 36069116 DOI: 10.1093/ehjci/jeac175] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Pieter van der Bijl
- Department of Cardiology, Heart Lung Centre, Leiden University Medical Centre, Albinusdreef 2, 2300 RC Leiden, The Netherlands
| | - Jurrien H Kuneman
- Department of Cardiology, Heart Lung Centre, Leiden University Medical Centre, Albinusdreef 2, 2300 RC Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Heart Lung Centre, Leiden University Medical Centre, Albinusdreef 2, 2300 RC Leiden, The Netherlands.,Heart Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, FI-20520 Turku, Finland
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50
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Sagris M, Antonopoulos AS, Simantiris S, Oikonomou E, Siasos G, Tsioufis K, Tousoulis D. Pericoronary fat attenuation index-a new imaging biomarker and its diagnostic and prognostic utility: a systematic review and meta-analysis. Eur Heart J Cardiovasc Imaging 2022; 23:e526-e536. [PMID: 36069510 PMCID: PMC9840478 DOI: 10.1093/ehjci/jeac174] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/08/2022] [Indexed: 01/19/2023] Open
Abstract
Pericoronary fat attenuation index (FAI) on coronary computed tomography angiography imaging has been proposed as a novel marker of coronary vascular inflammation with prognostic value for major cardiovascular events. To date, there is no systematic review of the published literature and no meta-analysed data of previously published results. We performed a systematic review and meta-analysis according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. We systematically explored published literature in MEDLINE (PubMed) before 20 January 2022 for studies assessing FAI in both diagnostic and prognostic clinical settings in patients with or without cardiovascular disease. The primary outcome was the mean difference in FAI attenuation between stable and unstable coronary plaques. The secondary outcome was the hazard ratio (HR) of high FAI values for future cardiovascular events. We calculated I2 to test heterogeneity. We used random-effects modelling for the meta-analyses to assess the primary and secondary outcomes. This study is registered with PROSPERO (CRD42021229491). In total, 20 studies referred in a total of 7797 patients were included in this systematic review, while nine studies were used for the meta-analysis. FAI was significantly higher in unstable compared with stable plaques with a mean difference of 4.50 Hounsfield units [95% confidence interval (CI): 1.10-7.89, I2 = 88%] among 902 patients. Higher pericoronary FAI values offered incremental prognostic value for major adverse cardiovascular events (MACEs) in studies with prospective follow-up (HR = 3.29, 95% CI: 1.88-5.76, I2 = 75%) among 6335 patients. Pericoronary FAI seems to be a promising imaging biomarker that can be used for the detection of coronary inflammation, possibly to discriminate between stable and unstable plaques, and inform on the prognosis for future MACE. Further validation of these findings and exploration of the cost-effectiveness of the method before implementation in clinical practice are needed.
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Affiliation(s)
| | - Alexios S Antonopoulos
- First Cardiology Clinic, School of Medicine, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, Vas. Sofias 114, 11527 Athens, Greece,Centre for Clinical, Experimental Surgery & Translational Research, Biomedical Research Foundation Academy of Athens, 4 Soranou Ephessiou, 115 27 Athens, Greece
| | - Spiridon Simantiris
- First Cardiology Clinic, School of Medicine, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, Vas. Sofias 114, 11527 Athens, Greece
| | - Evangelos Oikonomou
- First Cardiology Clinic, School of Medicine, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, Vas. Sofias 114, 11527 Athens, Greece
| | - Gerasimos Siasos
- First Cardiology Clinic, School of Medicine, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, Vas. Sofias 114, 11527 Athens, Greece,Harvard Medical School, Brigham and Women’s Hospital, 75 Francis St, Boston, MA 02115, USA
| | - Konstantinos Tsioufis
- First Cardiology Clinic, School of Medicine, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, Vas. Sofias 114, 11527 Athens, Greece
| | - Dimitris Tousoulis
- First Cardiology Clinic, School of Medicine, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, Vas. Sofias 114, 11527 Athens, Greece
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