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Hashimoto H, Kuronuma K, Hyun MC, Han D, Builoff V, Cadet S, Dey D, Berman DS, Kwiecinski J, Slomka PJ. Head-to-head comparison of 18F-sodium fluoride coronary PET imaging between a silicon photomultiplier with digital photon counting and conventional scanners. J Nucl Cardiol 2024:102045. [PMID: 39343355 DOI: 10.1016/j.nuclcard.2024.102045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 08/13/2024] [Accepted: 09/20/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND We compared silicone photomultipliers with digital photon counting (SiPM) and photomultiplier tubes (PMT) PET in imaging coronary plaque activity with 18F-sodium fluoride (18F-NaF) and evaluated comprehensively SiPM PET reconstruction settings. METHODS In 25 cardiovascular disease patients (mean age 67±12 years), we conducted 18F-NaF PET on a SiPM (Biograph Vision) and conventional PET (Discovery 710) on the same day as part of a prospective clinical trial (NCT03689946). Following administration of 250 MBq of 18F-NaF, patients underwent a contrast-enhanced CT angiography and a 30-min PET acquisition in list mode on each PET consecutively. Image noise was defined as mean standard deviation of blood pool activity within the left atria. Target-to-background ratio (TBR) and signal-to-noise ratio (SNR) were measured within the whole-vessel tubular 3-dimensional volumes of interest on the cardiac motion and attenuation corrected 18F-NaF PET images using dedicated software. RESULTS There were significant differences in image noise and background activity between the two PETs (Image noise (%), PMT: 7.6±3.7 vs. SiPM: 4.0±2.3, p<0.001; background activity, PMT: 1.4±0.4 vs. SiPM: 1.0±0.3, p<0.001). Similarly, the SNR and TBR were significantly higher in vessels scanned with the SiPM PET (SNR, PMT: 16.3±11.5 vs. SiPM: 32.7±29.8, p<0.001; TBR, PMT: 0.8±0.4 vs. SiPM: 1.1±0.6, p<0.001). SiPM PET image reconstruction with a 256 matrix, 1.4 mm pixel, and 2 mm Gaussian filter provided best tradeoff in terms of maximal SNR, TBR and clinically practical file size. CONCLUSIONS In 18F-NaF coronary PET imaging, the SiPM PET showed superior image contrast and less image noise compared to PMT PET.
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Affiliation(s)
- Hidenobu Hashimoto
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Keiichiro Kuronuma
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States; Department of Cardiology, Nihon University, Tokyo, Japan
| | - Mark C Hyun
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Donghee Han
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Valerie Builoff
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Sebastian Cadet
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Damini Dey
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Daniel S Berman
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Jacek Kwiecinski
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States; Division of Cardiology and Structural Heart Diseases, Medical University of Silesia in Katowice, Katowice, Poland
| | - Piotr J Slomka
- Department of Medicine, Division of Artificial Intelligence in Medicine, Imaging, and Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, California, United States.
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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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Jain H, Goyal A, Khan AT, Khan NU, Jain J, Chopra S, Sulaiman SA, Reddy MM, Patel K, Khullar K, Daoud M, Sohail AH. Insights into calcific aortic valve stenosis: a comprehensive overview of the disease and advancing treatment strategies. Ann Med Surg (Lond) 2024; 86:3577-3590. [PMID: 38846838 PMCID: PMC11152847 DOI: 10.1097/ms9.0000000000002106] [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: 12/10/2023] [Accepted: 04/14/2024] [Indexed: 06/09/2024] Open
Abstract
Aortic valve stenosis is a disease characterized by thickening and narrowing of the aortic valve (AV), most commonly due to calcification, which leads to left ventricular outflow obstruction called calcific aortic valve disease (CAVD). CAVD presents as a progressive clinical syndrome with cardiorespiratory symptoms, often with rapid deterioration. The modern-day pathophysiology of CAVD involves a complex interplay of genetic factors, chronic inflammation, lipid deposition, and valve calcification, with early CAVD stages resembling atherosclerosis. Various imaging modalities have been used to evaluate CAVD, with a recent trend of using advanced imaging to measure numerous AV parameters, such as peak jet velocity. Significant improvements in mortality have been achieved with transcatheter AV repair, but numerous therapeutics and modalities are being researched to delay the progression of CAVD. This article aims to provide a comprehensive review of CAVD, explore recent developments, and provide insights into future treatments with various novel modalities.
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Affiliation(s)
- Hritvik Jain
- Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), Jodhpur
| | - Aman Goyal
- Department of Internal Medicine, Seth Gordhandas Sunderdas (GS) Medical College and King Edward Memorial (KEM) Hospital, Mumbai
| | | | - Noor U. Khan
- Department of Public Health, Health Services Academy, Islamabad, Pakistan
| | - Jyoti Jain
- Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), Jodhpur
| | - Shrey Chopra
- Department of Internal Medicine, University College of Medical Sciences and Guru Teg Bahadur Hospital, Delhi
| | | | | | - Kush Patel
- Department of Internal Medicine, Baroda Medical College, Gujarat
| | - Kaarvi Khullar
- Department of Internal Medicine, Government Medical College and Hospital, Gondia, Maharashtra, India
| | - Mohamed Daoud
- Department of Internal Medicine, Bogomolets National Medical University, Kyiv, Ukraine
| | - Amir H. Sohail
- Department of Surgery, University of New Mexico Health Sciences, Albuquerque, New Mexico, USA
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4
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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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5
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Moss A, Daghem M, Tzolos E, Meah MN, Wang KL, Bularga A, Adamson PD, Kwiecinski J, Fletcher A, Dawson D, Arumugam P, Sabharwal N, Greenwood JP, Townend JN, Calvert PA, Rudd JHF, Berman D, Verjans J, Slomka P, Dey D, Forsyth L, Murdoch L, Lee RJ, Lewis S, Mills NL, van Beek EJR, Williams MC, Dweck MR, Newby DE. Coronary Atherosclerotic Plaque Activity and Future Coronary Events. JAMA Cardiol 2023; 8:755-764. [PMID: 37379010 PMCID: PMC10308296 DOI: 10.1001/jamacardio.2023.1729] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 05/03/2023] [Indexed: 06/29/2023]
Abstract
Importance Recurrent coronary events in patients with recent myocardial infarction remain a major clinical problem. Noninvasive measures of coronary atherosclerotic disease activity have the potential to identify individuals at greatest risk. Objective To assess whether coronary atherosclerotic plaque activity as assessed by noninvasive imaging is associated with recurrent coronary events in patients with myocardial infarction. Design, Setting, and Participants This prospective, longitudinal, international multicenter cohort study recruited participants aged 50 years or older with multivessel coronary artery disease and recent (within 21 days) myocardial infarction between September 2015 and February 2020, with a minimum 2 years' follow-up. Intervention Coronary 18F-sodium fluoride positron emission tomography and coronary computed tomography angiography. Main Outcomes and Measures Total coronary atherosclerotic plaque activity was assessed by 18F-sodium fluoride uptake. The primary end point was cardiac death or nonfatal myocardial infarction but was expanded during study conduct to include unscheduled coronary revascularization due to lower than anticipated primary event rates. Results Among 2684 patients screened, 995 were eligible, 712 attended for imaging, and 704 completed an interpretable scan and comprised the study population. The mean (SD) age of participants was 63.8 (8.2) years, and most were male (601 [85%]). Total coronary atherosclerotic plaque activity was identified in 421 participants (60%). After a median follow-up of 4 years (IQR, 3-5 years), 141 participants (20%) experienced the primary end point: 9 had cardiac death, 49 had nonfatal myocardial infarction, and 83 had unscheduled coronary revascularizations. Increased coronary plaque activity was not associated with the primary end point (hazard ratio [HR], 1.25; 95% CI, 0.89-1.76; P = .20) or unscheduled revascularization (HR, 0.98; 95% CI, 0.64-1.49; P = .91) but was associated with the secondary end point of cardiac death or nonfatal myocardial infarction (47 of 421 patients with high plaque activity [11.2%] vs 19 of 283 with low plaque activity [6.7%]; HR, 1.82; 95% CI, 1.07-3.10; P = .03) and all-cause mortality (30 of 421 patients with high plaque activity [7.1%] vs 9 of 283 with low plaque activity [3.2%]; HR, 2.43; 95% CI, 1.15-5.12; P = .02). After adjustment for differences in baseline clinical characteristics, coronary angiography findings, and Global Registry of Acute Coronary Events score, high coronary plaque activity was associated with cardiac death or nonfatal myocardial infarction (HR, 1.76; 95% CI, 1.00-3.10; P = .05) but not with all-cause mortality (HR, 2.01; 95% CI, 0.90-4.49; P = .09). Conclusions and Relevance In this cohort study of patients with recent myocardial infarction, coronary atherosclerotic plaque activity was not associated with the primary composite end point. The findings suggest that risk of cardiovascular death or myocardial infarction in patients with elevated plaque activity warrants further research to explore its incremental prognostic implications.
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Affiliation(s)
- Alastair Moss
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
- National Institute for Health and Care Research, Leicester Biomedical Research Centre, University of Leicester, Leicester, England
| | - Marwa Daghem
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Evangelos Tzolos
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Mohammed N. Meah
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Kang-Ling Wang
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Anda Bularga
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Philip D. Adamson
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Alison Fletcher
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Dana Dawson
- Aberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Aberdeen, Scotland
| | | | - Nikant Sabharwal
- Oxford University Hospitals, NHS Foundation Trust, Oxford, England
| | - John P. Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England
| | - Jon N. Townend
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, England
| | | | - James H. F. Rudd
- Department of Medicine, University of Cambridge, Cambridge, England
| | - Dan Berman
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Johan Verjans
- Adelaide Medical School, The University of Adelaide, Adelaide, Australia
| | - Piotr Slomka
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Damini Dey
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Laura Forsyth
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Lauren Murdoch
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Robert J. Lee
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Steff Lewis
- Edinburgh Clinical Trials Unit, Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Nicholas L. Mills
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
- Usher Institute, The University of Edinburgh, Edinburgh, Scotland
| | - Edwin J. R. van Beek
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Michelle C. Williams
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - Marc R. Dweck
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
| | - David E. Newby
- Edinburgh Imaging, The University of Edinburgh, Edinburgh, Scotland
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland
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Grodecki K, Warniello M, Spiewak M, Kwiecinski J. Advanced Cardiac Imaging in the Assessment of Aortic Stenosis. J Cardiovasc Dev Dis 2023; 10:jcdd10050216. [PMID: 37233183 DOI: 10.3390/jcdd10050216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
Aortic stenosis is the most common form of valve disease in the Western world and a major healthcare burden. Although echocardiography remains the central modality for the diagnosis and assessment of aortic stenosis, recently, advanced cardiac imaging with cardiovascular magnetic resonance, computed tomography, and positron emission tomography have provided invaluable pathological insights that may guide the personalized management of the disease. In this review, we discuss applications of these novel non-invasive imaging modalities for establishing the diagnosis, monitoring disease progression, and eventually planning the invasive treatment of aortic stenosis.
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Affiliation(s)
- Kajetan Grodecki
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland
| | - Mateusz Warniello
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, 04-628 Warsaw, Poland
| | - Mateusz Spiewak
- Magnetic Resonance Unit, Department of Radiology, Institute of Cardiology, Alpejska 42, 04-628 Warsaw, Poland
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, 04-628 Warsaw, Poland
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7
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Singh A, Kwiecinski J, Cadet S, Killekar A, Tzolos E, Williams MC, Dweck MR, Newby DE, Dey D, Slomka PJ. Automated nonlinear registration of coronary PET to CT angiography using pseudo-CT generated from PET with generative adversarial networks. J Nucl Cardiol 2023; 30:604-615. [PMID: 35701650 PMCID: PMC9747983 DOI: 10.1007/s12350-022-03010-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 05/04/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Coronary 18F-sodium-fluoride (18F-NaF) positron emission tomography (PET) showed promise in imaging coronary artery disease activity. Currently image processing remains subjective due to the need for manual registration of PET and computed tomography (CT) angiography data. We aimed to develop a novel fully automated method to register coronary 18F-NaF PET to CT angiography using pseudo-CT generated by generative adversarial networks (GAN). METHODS A total of 169 patients, 139 in the training and 30 in the testing sets were considered for generation of pseudo-CT from non-attenuation corrected (NAC) PET using GAN. Non-rigid registration was used to register pseudo-CT to CT angiography and the resulting transformation was used to align PET with CT angiography. We compared translations, maximal standard uptake value (SUVmax) and target to background ratio (TBRmax) at the location of plaques, obtained after observer and automated alignment. RESULTS Automatic end-to-end registration was performed for 30 patients with 88 coronary vessels and took 27.5 seconds per patient. Difference in displacement motion vectors between GAN-based and observer-based registration in the x-, y-, and z-directions was 0.8 ± 3.0, 0.7 ± 3.0, and 1.7 ± 3.9 mm, respectively. TBRmax had a coefficient of repeatability (CR) of 0.31, mean bias of 0.03 and narrow limits of agreement (LOA) (95% LOA: - 0.29 to 0.33). SUVmax had CR of 0.26, mean bias of 0 and narrow LOA (95% LOA: - 0.26 to 0.26). CONCLUSION Pseudo-CT generated by GAN are perfectly registered to PET can be used to facilitate quick and fully automated registration of PET and CT angiography.
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Affiliation(s)
- Ananya Singh
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Jacek Kwiecinski
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Sebastien Cadet
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Aditya Killekar
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Evangelos Tzolos
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA
| | - Piotr J Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA.
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8
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Kwiecinski J, Slomka PJ. Aortic 18F-sodium fluoride imaging. J Nucl Cardiol 2023; 30:811-813. [PMID: 33825144 DOI: 10.1007/s12350-021-02594-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: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Jacek Kwiecinski
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Piotr J Slomka
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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Yang W, Chen C, Yang Y, Chen L, Yang C, Gong L, Wang J, Shi F, Wu D, Yan F. Diagnostic performance of deep learning-based vessel extraction and stenosis detection on coronary computed tomography angiography for coronary artery disease: a multi-reader multi-case study. LA RADIOLOGIA MEDICA 2023; 128:307-315. [PMID: 36800112 DOI: 10.1007/s11547-023-01606-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 02/03/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Post-processing and interpretation of coronary CT angiography (CCTA) imaging are time-consuming and dependent on the reader's experience. An automated deep learning (DL)-based imaging reconstruction and diagnosis system was developed to improve diagnostic accuracy and efficiency. METHODS Our study including 374 cases from five sites, inviting 12 radiologists, assessed the DL-based system in diagnosing obstructive coronary disease with regard to diagnostic performance, imaging post-processing and reporting time of radiologists, with invasive coronary angiography as a standard reference. The diagnostic performance of DL system and DL-assisted human readers was compared with the traditional method of human readers without DL system. RESULTS Comparing the diagnostic performance of human readers without DL system versus with DL system, the AUC was improved from 0.81 to 0.82 (p < 0.05) at patient level and from 0.79 to 0.81 (p < 0.05) at vessel level. An increase in AUC was observed in inexperienced radiologists (p < 0.05), but was absent in experienced radiologists. Regarding diagnostic efficiency, comparing the DL system versus human reader, the average post-processing and reporting time was decreased from 798.60 s to 189.12 s (p < 0.05). The sensitivity and specificity of using DL system alone were 93.55% and 59.57% at patient level and 83.23% and 79.97% at vessel level, respectively. CONCLUSIONS With the DL system serving as a concurrent reader, the overall post-processing and reading time was substantially reduced. The diagnostic accuracy of human readers, especially for inexperienced readers, was improved. DL-assisted human reader had the potential of being the reading mode of choice in clinical routine.
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Affiliation(s)
- Wenjie Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chihua Chen
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanzhao Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Chen
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Changwei Yang
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lianggeng Gong
- Department of Radiology, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jianing Wang
- Department of Radiology, Affiliated Hospital of Hebei University, Baoding, China
| | - Feng Shi
- Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China
| | - Dijia Wu
- Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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10
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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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11
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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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12
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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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13
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Lassen ML, Tzolos E, Pan T, Kwiecinski J, Cadet S, Dey D, Berman D, Slomka P. Anatomical validation of automatic respiratory motion correction for coronary 18F-sodium fluoride positron emission tomography by expert measurements from four-dimensional computed tomography. Med Phys 2022; 49:7085-7094. [PMID: 35766454 PMCID: PMC9742185 DOI: 10.1002/mp.15834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 05/24/2022] [Accepted: 05/28/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Respiratory motion correction is of importance in studies of coronary plaques employing 18 F-NaF; however, the validation of motion correction techniques mainly relies on indirect measures such as test-retest repeatability assessments. In this study, we aim to compare and, thus, validate the respiratory motion vector fields obtained from the positron emission tomography (PET) images directly to the respiratory motion observed during four-dimensional cine-computed tomography (CT) by an expert observer. PURPOSE To investigate the accuracy of the motion correction employed in a software (FusionQuant) used for evaluation of 18 F-NaF PET studies by comparing the respiratory motion of the coronary plaques observed in PET to the respiratory motion observed in 4D cine-CT images. METHODS This study included 23 patients who undertook thoracic PET scans for the assessment of coronary plaques using 18 F-sodium fluoride (18 F-NaF). All patients underwent a 5-s cine-CT (4D-CT), a coronary CT angiography (CTA), and 18 F-NaF PET. The 4D-CT and PET scan were reconstructed into 10 phases. Respiratory motion was estimated for the non-contrast visible coronary plaques using diffeomorphic registrations (PET) and compared to respiratory motion observed on 4D-CT. We report the PET motion vector fields obtained in the three principal axes in addition to the 3D motion. Statistical differences were examined using paired t-tests. Signal-to-noise ratios (SNR) are reported for the single-phase images (end-expiratory phase) and for the motion-corrected image-series (employing the motion vector fields extracted during the diffeomorphic registrations). RESULTS In total, 19 coronary plaques were identified in 16 patients. No statistical differences were observed for the maximum respiratory motion observed in x, y, and the 3D motion fields (magnitude and direction) between the CT and PET (X direction: 4D CT = 2.5 ± 1.5 mm, PET = 2.4 ± 3.2 mm; Y direction: 4D CT = 2.3 ± 1.9 mm, PET = 0.7 ± 2.9 mm, 3D motion: 4D CT = 6.6 ± 3.1 mm, PET = 5.7 ± 2.6 mm, all p ≥ 0.05). Significant differences in respiratory motion were observed in the systems' Z direction: 4D CT = 4.9 ± 3.4 mm, PET = 2.3 ± 3.2 mm, p = 0.04. Significantly improved SNR is reported for the motion corrected images compared to the end-expiratory phase images (end-expiratory phase = 6.8±4.8, motion corrected = 12.2±4.5, p = 0.001). CONCLUSION Similar respiratory motion was observed in two directions and 3D for coronary plaques on 4D CT as detected by automatic respiratory motion correction of coronary PET using FusionQuant. The respiratory motion correction technique significantly improved the SNR in the images.
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Affiliation(s)
- Martin Lyngby Lassen
- Department of Imaging (Division of Nuclear Medicine), Medicine (Division of Artificial Intelligence in Medicine), and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA,Department of Clinical Physiology, Nuclear Medicine and PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Evangelos Tzolos
- Department of Imaging (Division of Nuclear Medicine), Medicine (Division of Artificial Intelligence in Medicine), and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA,BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Tinsu Pan
- Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Jacek Kwiecinski
- Department of Imaging (Division of Nuclear Medicine), Medicine (Division of Artificial Intelligence in Medicine), and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA,Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Sebastien Cadet
- Department of Imaging (Division of Nuclear Medicine), Medicine (Division of Artificial Intelligence in Medicine), and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Department of Imaging (Division of Nuclear Medicine), Medicine (Division of Artificial Intelligence in Medicine), and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel Berman
- Department of Imaging (Division of Nuclear Medicine), Medicine (Division of Artificial Intelligence in Medicine), and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine (Division of Artificial Intelligence in Medicine), and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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14
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Kwiecinski J, Dweck MR. Artificial intelligence-based quantification of cardiac 18F-sodium fluoride uptake. J Nucl Cardiol 2022; 29:2540-2542. [PMID: 34448093 DOI: 10.1007/s12350-021-02791-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 08/11/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
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15
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Fletcher AJ, Lembo M, Kwiecinski J, Syed MBJ, Nash J, Tzolos E, Bing R, Cadet S, MacNaught G, van Beek EJR, Moss AJ, Doris MK, Walker NL, Dey D, Adamson PD, Newby DE, Slomka PJ, Dweck MR. Quantifying microcalcification activity in the thoracic aorta. J Nucl Cardiol 2022; 29:1372-1385. [PMID: 33474695 PMCID: PMC8497049 DOI: 10.1007/s12350-020-02458-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 11/17/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Standard methods for quantifying positron emission tomography (PET) uptake in the aorta are time consuming and may not reflect overall vessel activity. We describe aortic microcalcification activity (AMA), a novel method for quantifying 18F-sodium fluoride (18F-NaF) uptake in the thoracic aorta. METHODS Twenty patients underwent two hybrid 18F-NaF PET and computed tomography (CT) scans of the thoracic aorta less than three weeks apart. AMA, as well as maximum (TBRmax) and mean (TBRmean) tissue to background ratios, were calculated by two trained operators. Intra-observer repeatability, inter-observer repeatability and scan-rescan reproducibility were assessed. Each 18F-NaF quantification method was compared to validated cardiovascular risk scores. RESULTS Aortic microcalcification activity demonstrated excellent intra-observer (intraclass correlation coefficient 0.98) and inter-observer (intraclass correlation coefficient 0.97) repeatability with very good scan-rescan reproducibility (intraclass correlation coefficient 0.86) which were similar to previously described TBRmean and TBRmax methods. AMA analysis was much quicker to perform than standard TBR assessment (3.4min versus 15.1min, P<0.0001). AMA was correlated with Framingham stroke risk scores and Framingham risk score for hard cononary heart disease. CONCLUSIONS AMA is a simple, rapid and reproducible method of quantifying global 18F-NaF uptake across the ascending aorta and aortic arch that correlates with cardiovascular risk scores.
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Affiliation(s)
- Alexander J Fletcher
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
| | - Maria Lembo
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Maaz B J Syed
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jennifer Nash
- Department of Vascular Surgery, Queen Elizabeth University Hospital, Glasgow, UK
| | - Evangelos Tzolos
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Rong Bing
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Sebastien Cadet
- Department of Imaging (Division of Nuclear Cardiology), Cedars-Sinai Medical Centre, Los Angeles, USA
| | - Gillian MacNaught
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging Facility, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Edwin J R van Beek
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging Facility, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Alistair J Moss
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Mhairi K Doris
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Niki L Walker
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Scottish Adult Congenital Cardiology Service, Golden Jubilee National Hospital, Clydebank, Glasgow, UK
| | - Damini Dey
- Department of Imaging (Division of Nuclear Cardiology), Cedars-Sinai Medical Centre, Los Angeles, USA
| | - Philip D Adamson
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Piotr J Slomka
- Department of Imaging (Division of Nuclear Cardiology), Cedars-Sinai Medical Centre, Los Angeles, USA
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
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16
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Kwiecinski J, Tzolos E, Fletcher AJ, Nash J, Meah MN, Cadet S, Adamson PD, Grodecki K, Joshi N, Williams MC, van Beek EJR, Lai C, Tavares AAS, MacAskill MG, Dey D, Baker AH, Leipsic J, Berman DS, Sellers SL, Newby DE, Dweck MR, Slomka PJ. Bypass Grafting and Native Coronary Artery Disease Activity. JACC Cardiovasc Imaging 2022; 15:875-887. [PMID: 35216930 PMCID: PMC9246289 DOI: 10.1016/j.jcmg.2021.11.030] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/01/2021] [Accepted: 11/15/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVES The aim of this study was to describe the potential of 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) to identify graft vasculopathy and to investigate the influence of coronary artery bypass graft (CABG) surgery on native coronary artery disease activity and progression. BACKGROUND As well as developing graft vasculopathy, CABGs have been proposed to accelerate native coronary atherosclerosis. METHODS Patients with established coronary artery disease underwent baseline 18F-NaF PET, coronary artery calcium scoring, coronary computed tomographic angiography, and 1-year repeat coronary artery calcium scoring. Whole-vessel coronary microcalcification activity (CMA) on 18F-NaF PET and change in calcium scores were quantified in patients with and without CABG surgery. RESULTS Among 293 participants (mean age 65 ± 9 years, 84% men), 48 (16%) underwent CABG surgery 2.7 years [IQR: 1.4-10.4 years] previously. Although all arterial and the majority (120 of 128 [94%]) of vein grafts showed no 18F-NaF uptake, 8 saphenous vein grafts in 7 subjects had detectable CMA. Bypassed native coronary arteries had 3 times higher CMA values (2.1 [IQR: 0.4-7.5] vs 0.6 [IQR: 0-2.7]; P < 0.001) and greater progression of 1-year calcium scores (118 Agatston unit [IQR: 48-194 Agatston unit] vs 69 [IQR: 21-142 Agatston unit]; P = 0.01) compared with patients who had not undergone CABG, an effect confined largely to native coronary plaques proximal to the graft anastomosis. In sensitivity analysis, bypassed native coronary arteries had higher CMA (2.0 [IQR: 0.4-7.5] vs 0.8 [IQR: 0.3-3.2]; P < 0.001) and faster disease progression (24% [IQR: 16%-43%] vs 8% [IQR: 0%-24%]; P = 0.002) than matched patients (n = 48) with comparable burdens of coronary artery disease and cardiovascular comorbidities in the absence of bypass grafting. CONCLUSIONS Native coronary arteries that have been bypassed demonstrate increased disease activity and more rapid disease progression than nonbypassed arteries, an observation that appears independent of baseline atherosclerotic plaque burden. Microcalcification activity is not a dominant feature of graft vasculopathy.
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Affiliation(s)
- Jacek Kwiecinski
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Evangelos Tzolos
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA; BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Alexander J Fletcher
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jennifer Nash
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Mohammed N Meah
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Sebastien Cadet
- Division of Artificial Intelligence in Medicine, 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
| | - Philip D Adamson
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Kajetan Grodecki
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Nikhil Joshi
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Edwin J R van Beek
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Chi Lai
- Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Adriana A S Tavares
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark G MacAskill
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Damini Dey
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Andrew H Baker
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jonathon Leipsic
- Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Daniel S Berman
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Stephanie L Sellers
- Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Piotr J Slomka
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
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17
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Tzolos E, Lassen ML, Pan T, Kwiecinski J, Cadet S, Dey D, Dweck MR, Newby DE, Berman D, Slomka P. Respiration-averaged CT versus standard CT attenuation map for correction of 18F-sodium fluoride uptake in coronary atherosclerotic lesions on hybrid PET/CT. J Nucl Cardiol 2022; 29:430-439. [PMID: 32617857 PMCID: PMC7775905 DOI: 10.1007/s12350-020-02245-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 06/11/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND To evaluate the impact of respiratory-averaged computed tomography attenuation correction (RACTAC) compared to standard single-phase computed tomography attenuation correction (CTAC) map, on the quantitative measures of coronary atherosclerotic lesions of 18F-sodium fluoride (18F-NaF) uptake in hybrid positron emission tomography and computed tomography (PET/CT). METHODS This study comprised 23 patients who underwent 18F-NaF coronary PET in a hybrid PET/CT system. All patients had a standard single-phase CTAC obtained during free-breathing and a 4D cine-CT scan. From the cine-CT acquisition, RACTAC maps were obtained by averaging all images acquired over 5 seconds. PET reconstructions using either CTAC or RACTAC were compared. The quantitative impact of employing RACTAC was assessed using maximum target-to-background (TBRMAX) and coronary microcalcification activity (CMA). Statistical differences were analyzed using reproducibility coefficients and Bland-Altman plots. RESULTS In 23 patients, we evaluated 34 coronary lesions using CTAC and RACTAC reconstructions. There was good agreement between CTAC and RACTAC for TBRMAX (median [Interquartile range]): CTAC = 1.65 [1.23 to 2.38], RACTAC = 1.63 [1.23 to 2.33], p = 0.55), with coefficient of reproducibility of 0.18, and CMA: CTAC = 0.10 [0 to 1.0], RACTAC = 0.15 [0 to 1.03], p = 0.55 with coefficient of reproducibility of 0.17 CONCLUSION: Respiratory-averaged and standard single-phase attenuation correction maps provide similar and reproducible methods of quantifying coronary 18F-NaF uptake on PET/CT.
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Affiliation(s)
- Evangelos Tzolos
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Martin Lyngby Lassen
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Tinsu Pan
- Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Jacek Kwiecinski
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Sebastien Cadet
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Daniel Berman
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA.
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18
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Tzolos E, Kwiecinski J, Berman D, Slomka P, Newby DE, Dweck MR. Latest Advances in Multimodality Imaging of Aortic Stenosis. J Nucl Med 2022; 63:353-358. [PMID: 34887339 PMCID: PMC8978201 DOI: 10.2967/jnumed.121.262304] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/06/2021] [Indexed: 11/16/2022] Open
Abstract
Aortic stenosis is a common condition associated with major morbidity, mortality, and health-care costs. Nevertheless, we currently lack any effective medical therapies that can treat or prevent disease development or progression. Modern advances in echocardiography and CT have helped improve the assessment of aortic stenosis severity and monitoring of disease progression, whereas cardiac MRI informs on myocardial health and the development of fibrosis. In a series of recent studies, 18F-NaF PET/CT has been shown to assess valvular disease activity and progression, providing mechanistic insights that can inform potential novel therapeutic approaches. This review will examine the latest advances in the imaging of aortic stenosis and bioprosthetic valve degeneration and explore how these techniques can assist patient management and potentially accelerate novel therapeutic developments.
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Affiliation(s)
- Evangelos Tzolos
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland; and
| | - Daniel Berman
- Division of Nuclear Medicine, Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Piotr Slomka
- Division of Nuclear Medicine, Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - 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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19
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Anan N, Zainon R, Tamal M. A review on advances in 18F-FDG PET/CT radiomics standardisation and application in lung disease management. Insights Imaging 2022; 13:22. [PMID: 35124733 PMCID: PMC8817778 DOI: 10.1186/s13244-021-01153-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 12/23/2021] [Indexed: 02/06/2023] Open
Abstract
Radiomics analysis quantifies the interpolation of multiple and invisible molecular features present in diagnostic and therapeutic images. Implementation of 18-fluorine-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) radiomics captures various disorders in non-invasive and high-throughput manner. 18F-FDG PET/CT accurately identifies the metabolic and anatomical changes during cancer progression. Therefore, the application of 18F-FDG PET/CT in the field of oncology is well established. Clinical application of 18F-FDG PET/CT radiomics in lung infection and inflammation is also an emerging field. Combination of bioinformatics approaches or textual analysis allows radiomics to extract additional information to predict cell biology at the micro-level. However, radiomics texture analysis is affected by several factors associated with image acquisition and processing. At present, researchers are working on mitigating these interrupters and developing standardised workflow for texture biomarker establishment. This review article focuses on the application of 18F-FDG PET/CT in detecting lung diseases specifically on cancer, infection and inflammation. An overview of different approaches and challenges encountered on standardisation of 18F-FDG PET/CT technique has also been highlighted. The review article provides insights about radiomics standardisation and application of 18F-FDG PET/CT in lung disease management.
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20
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Tzolos E, Kwiecinski J, Lassen ML, Cadet S, Adamson PD, Moss AJ, Joshi N, Williams MC, van Beek EJR, Dey D, Berman DS, Dweck MR, Newby DE, Slomka PJ. Observer repeatability and interscan reproducibility of 18F-sodium fluoride coronary microcalcification activity. J Nucl Cardiol 2022; 29:126-135. [PMID: 32529531 PMCID: PMC7728624 DOI: 10.1007/s12350-020-02221-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND We aimed to establish the observer repeatability and interscan reproducibility of coronary 18F-sodium-fluoride positron emission tomography (PET) uptake using a novel semi-automated approach, coronary microcalcification activity (CMA). METHODS Patients with multivessel coronary artery disease underwent repeated hybrid PET and computed tomography angiography (CTA) imaging (PET/CTA). CMA was defined as the integrated standardized uptake values (SUV) in the entire coronary tree exceeding 2 standard deviations above the background SUV. Coefficients of repeatability between the same observer (intraobserver repeatability), between 2 observers (interobserver repeatability) and coefficient of reproducibility between 2 scans (interscan reproducibility), were determined at vessel and patient level. RESULTS In 19 patients, CMA was assessed twice in 43 coronary vessels on two PET/CT scans performed 12 ± 5 days apart. There was excellent intraclass correlation for intraobserver and interobserver repeatability as well as interscan reproducibility (all ≥ 0.991). There was 100% intraobserver, interobserver and interscan agreement for the presence (CMA > 0) or absence (CMA = 0) of coronary18F-NaF uptake. Mean CMA was 3.12 ± 0.62 with coefficients of repeatability of ≤ 10% for all measures: intraobserver 0.24 and 0.22, interobserver 0.30 and 0.29 and interscan 0.33 and 0.32 at a per-vessel and per-patient level, respectively. CONCLUSIONS CMA is a repeatable and reproducible global measure of coronary atherosclerotic activity.
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Affiliation(s)
- Evangelos Tzolos
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jacek Kwiecinski
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Martin Lyngby Lassen
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA
| | - Sebastien Cadet
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA
| | - Philip D Adamson
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Alastair J Moss
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- BHF Cardiovascular Research Centre, University of Leicester, Leicester, UK
| | - Nikhil Joshi
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- BHF Cardiovascular Research Centre, University of Leicester, Leicester, UK
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Edwin J R van Beek
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA
| | - Daniel S Berman
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
- BHF Cardiovascular Research Centre, University of Leicester, Leicester, UK
| | - Piotr J Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047N, Los Angeles, CA, 90048, USA.
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21
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Kwiecinski J, Tzolos E, Meah MN, Cadet S, Adamson PD, Grodecki K, Joshi NV, Moss AJ, Williams MC, van Beek EJR, Berman DS, Newby DE, Dey D, Dweck MR, Slomka PJ. Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction. J Nucl Med 2022; 63:158-165. [PMID: 33893193 PMCID: PMC8717197 DOI: 10.2967/jnumed.121.262283] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 04/01/2021] [Indexed: 11/16/2022] Open
Abstract
Coronary 18F-sodium fluoride (18F-NaF) PET and CT angiography-based quantitative plaque analysis have shown promise in refining risk stratification in patients with coronary artery disease. We combined both of these novel imaging approaches to develop an optimal machine-learning model for the future risk of myocardial infarction in patients with stable coronary disease. Methods: Patients with known coronary artery disease underwent coronary 18F-NaF PET and CT angiography on a hybrid PET/CT scanner. Machine-learning by extreme gradient boosting was trained using clinical data, CT quantitative plaque analysis, measures and 18F-NaF PET, and it was tested using repeated 10-fold hold-out testing. Results: Among 293 study participants (65 ± 9 y; 84% male), 22 subjects experienced a myocardial infarction over the 53 (40-59) months of follow-up. On univariable receiver-operator-curve analysis, only 18F-NaF coronary uptake emerged as a predictor of myocardial infarction (c-statistic 0.76, 95% CI 0.68-0.83). When incorporated into machine-learning models, clinical characteristics showed limited predictive performance (c-statistic 0.64, 95% CI 0.53-0.76) and were outperformed by a quantitative plaque analysis-based machine-learning model (c-statistic 0.72, 95% CI 0.60-0.84). After inclusion of all available data (clinical, quantitative plaque and 18F-NaF PET), we achieved a substantial improvement (P = 0.008 versus 18F-NaF PET alone) in the model performance (c-statistic 0.85, 95% CI 0.79-0.91). Conclusion: Both 18F-NaF uptake and quantitative plaque analysis measures are additive and strong predictors of outcome in patients with established coronary artery disease. Optimal risk stratification can be achieved by combining clinical data with these approaches in a machine-learning model.
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Affiliation(s)
- Jacek Kwiecinski
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Evangelos Tzolos
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Mohammed N Meah
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Sebastien Cadet
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - Philip D Adamson
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Kajetan Grodecki
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Nikhil V Joshi
- Bristol Heart Institute, University of Bristol, United Kingdom; and
| | - Alastair J Moss
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Edwin J R van Beek
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Daniel S Berman
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Damini Dey
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Piotr J Slomka
- Division of Artificial Intelligence in Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
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22
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Meng K, Ying C, Ji J, Yang L. Evaluation of illness severity of neonate infectious pneumonia and neurobehavioral development through ultrasonography under adaption algorithm. Pak J Med Sci 2021; 37:1682-1686. [PMID: 34712306 PMCID: PMC8520381 DOI: 10.12669/pjms.37.6-wit.4883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/12/2021] [Accepted: 07/03/2021] [Indexed: 11/15/2022] Open
Abstract
Objectives: To explore the diagnostic effect of ultrasound imaging on the illness severity, and to analyze neurobehavioral development of neonates with Infectious Pneumonia (IPN), Self- Adaptation (SD), and Spatial Smoothing (SS) technologies were adopted to build SDSS. Then, the WFFSF algorithm based on Wiener Filtering (WF) and Feature Space Fusion (FSF) and the SNRP-FSF algorithm based on Signal-to-noise ratio post-filtering (SNRP) and FSF were introduced for comparison. Methods: One hundred and thirty-two neonates were divided into group without respiratory failure (S1) and respiratory failure group (S2). The study was conducted from March 2018 to July 2020. According to scoring systems for neonatal critically illness, they were divided into non-severe group (W1), severe group (W2), and extremely-severe group (W3). According to the Scale of Child Development Center of China (CDCC), they were divided into a normal neurobehavioral developmental group (P1) and an abnormal neurobehavioral developmental group (P2). Results: The normalized mean square distance l and normalized mean absolute distance f of SDSS algorithm were significantly lower than that of WFFSF algorithm and SNRP-FSF algorithm, and the peak signal-to-noise ratio (PSNR) was significantly higher than that of WFFSF algorithm and SNRP-FSF algorithm (P<0.05). The lung ultrasound score (40.62±7.22%) of S1 was greatly higher than S2 group (28.47±6.29%) (P<0.05); the lung ultrasound score (39.13±8.25) in W1 was greatly higher than W2 (27.28±6.39) and W3 groups (14.33±7.03); neonates in group W2 had higher lung ultrasound scores than W3 (P<0.05), and lung ultrasound scores in P1 (42.57±8.58) was greatly higher than that the P2 group (26.49±6.09). Conclusion: In contrast with traditional algorithms, the SDSS algorithm based on AD has a better reconstruction effect on neonatal IPN ultrasound images. The lung ultrasound score can clearly indicate the severity of the disease and neurobehavioral development of neonate IPN, and the lung ultrasound score is negatively correlated with the severity of the child’s disease and the abnormality of neurobehavioral development.
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Affiliation(s)
- Kangkang Meng
- Kangkang Meng, Attending Physician. Department of Neonatology, Yiwu Central Hospital, Yiwu, 322000, China
| | - Chao Ying
- Chao Ying, Attending Physician. Department of Neonatology, Yiwu Central Hospital, Yiwu, 322000, China
| | - Jianwei Ji
- Jianwei Ji, Attending Physician. Department of Neonatology, Yiwu Central Hospital, Yiwu, 322000, China
| | - Lianfang Yang
- Lianfang Yang, Attending Physician. Department of Neonatology, Yiwu Central Hospital, Yiwu, 322000, China
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23
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Kwiecinski J, Tzolos E, Cartlidge TRG, Fletcher A, Doris MK, Bing R, Tarkin JM, Seidman MA, Gulsin GS, Cruden NL, Barton AK, Uren NG, Williams MC, van Beek EJR, Leipsic J, Dey D, Makkar RR, Slomka PJ, Rudd JHF, Newby DE, Sellers SL, Berman DS, Dweck MR. Native Aortic Valve Disease Progression and Bioprosthetic Valve Degeneration in Patients With Transcatheter Aortic Valve Implantation. Circulation 2021; 144:1396-1408. [PMID: 34455857 PMCID: PMC8542078 DOI: 10.1161/circulationaha.121.056891] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Supplemental Digital Content is available in the text. Background: Major uncertainties remain regarding disease activity within the retained native aortic valve, and regarding bioprosthetic valve durability, after transcatheter aortic valve implantation (TAVI). We aimed to assess native aortic valve disease activity and bioprosthetic valve durability in patients with TAVI in comparison with subjects with bioprosthetic surgical aortic valve replacement (SAVR). Methods: In a multicenter cross-sectional observational cohort study, patients with TAVI or bioprosthetic SAVR underwent baseline echocardiography, computed tomography angiography, and 18F-sodium fluoride (18F-NaF) positron emission tomography. Participants (n=47) were imaged once with 18F-NaF positron emission tomography/computed tomography either at 1 month (n=9, 19%), 2 years (n=22, 47%), or 5 years (16, 34%) after valve implantation. Patients subsequently underwent serial echocardiography to assess for changes in valve hemodynamic performance (change in peak aortic velocity) and evidence of structural valve dysfunction. Comparisons were made with matched patients with bioprosthetic SAVR (n=51) who had undergone the same imaging protocol. Results: In patients with TAVI, native aortic valves demonstrated 18F-NaF uptake around the outside of the bioprostheses that showed a modest correlation with the time from TAVI (r=0.36, P=0.023). 18F-NaF uptake in the bioprosthetic leaflets was comparable between the SAVR and TAVI groups (target-to-background ratio, 1.3 [1.2–1.7] versus 1.3 [1.2–1.5], respectively; P=0.27). The frequencies of imaging evidence of bioprosthetic valve degeneration at baseline were similar on echocardiography (6% versus 8%, respectively; P=0.78), computed tomography (15% versus 14%, respectively; P=0.87), and positron emission tomography (15% versus 29%, respectively; P=0.09). Baseline 18F-NaF uptake was associated with a subsequent change in peak aortic velocity for both TAVI (r=0.7, P<0.001) and SAVR (r=0.7, P<0.001). On multivariable analysis, 18F-NaF uptake was the only predictor of peak velocity progression (P<0.001). Conclusions: In patients with TAVI, native aortic valves demonstrate evidence of ongoing active disease. Across imaging modalities, TAVI degeneration is of similar magnitude to bioprosthetic SAVR, suggesting comparable midterm durability. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02304276.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland (J.K.)
| | - Evangelos Tzolos
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Timothy R G Cartlidge
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Alexander Fletcher
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Mhairi K Doris
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Rong Bing
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Jason M Tarkin
- Division of Cardiovascular Medicine, University of Cambridge, UK (J.M.T., J.H.F.R.)
| | | | - Gaurav S Gulsin
- Department of Radiology, Centre for Cardiovascular Innovation, & Centre for Heart Lung Innovation, University of British Columbia & St. Paul's Hospital, Canada (J.Z.S., G.S.G., J.L., S.K.S.)
| | - Nicholas L Cruden
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Anna K Barton
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Neal G Uren
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Michelle C Williams
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Edwin J R van Beek
- Edinburgh Imaging, facility QMRI (E.J.R.v.B.), University of Edinburgh, UK
| | - Jonathon Leipsic
- Department of Radiology, Centre for Cardiovascular Innovation, & Centre for Heart Lung Innovation, University of British Columbia & St. Paul's Hospital, Canada (J.Z.S., G.S.G., J.L., S.K.S.)
| | - Damini Dey
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (D.D., R.R.M., P.J.S., D.S.B.)
| | - Raj R Makkar
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (D.D., R.R.M., P.J.S., D.S.B.)
| | - Piotr J Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (D.D., R.R.M., P.J.S., D.S.B.)
| | - James H F Rudd
- Division of Cardiovascular Medicine, University of Cambridge, UK (J.M.T., J.H.F.R.)
| | - David E Newby
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
| | - Stephanie L Sellers
- Department of Radiology, Centre for Cardiovascular Innovation, & Centre for Heart Lung Innovation, University of British Columbia & St. Paul's Hospital, Canada (J.Z.S., G.S.G., J.L., S.K.S.)
| | - Daniel S Berman
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (D.D., R.R.M., P.J.S., D.S.B.)
| | - Marc R Dweck
- Centre for Cardiovascular Science (E.T., T.R.G.C., A.F., M.K.D., R.B., N.L.C., A.K.B., N.G.U., M.C.W., E.J.R.v.B., D.E.N., M.R.D.), University of Edinburgh, UK
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24
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Bellinge JW, Schultz CJ. Optimizing arterial 18F-sodium fluoride positron emission tomography analysis. J Nucl Cardiol 2021; 28:1887-1890. [PMID: 31873832 DOI: 10.1007/s12350-019-01992-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 11/30/2019] [Indexed: 12/19/2022]
Affiliation(s)
- Jamie W Bellinge
- School of Medicine, University of Western Australia, Perth, WA, Australia.
- Department of Cardiology, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia.
| | - Carl J Schultz
- School of Medicine, University of Western Australia, Perth, WA, Australia
- Department of Cardiology, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia
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25
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Kwiecinski J, Dey D, Cadet S, Lee SE, Tamarappoo B, Otaki Y, Huynh PT, Friedman JD, Dweck MR, Newby DE, Yun M, Chang HJ, Slomka PJ, Berman DS. Predictors of 18F-sodium fluoride uptake in patients with stable coronary artery disease and adverse plaque features on computed tomography angiography. Eur Heart J Cardiovasc Imaging 2021; 21:58-66. [PMID: 31211387 DOI: 10.1093/ehjci/jez152] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/01/2019] [Accepted: 05/24/2019] [Indexed: 01/01/2023] Open
Abstract
AIMS In patients with stable coronary artery disease (CAD) and high-risk plaques (HRPs) on coronary computed tomography angiography (CTA), we sought to define qualitative and quantitative CTA predictors of abnormal coronary 18F-sodium fluoride uptake (18F-NaF) by positron emission tomography (PET). METHODS AND RESULTS Patients undergoing coronary CTA were screened for HRP. Those who presented with ≥3 CTA adverse plaque features (APFs) including positive remodelling; low attenuation plaque (LAP, <30 HU), spotty calcification; obstructive coronary stenosis ≥50%; plaque volume >100 mm3 were recruited for 18F-NaF PET. In lesions with stenosis ≥25%, quantitative plaque analysis and maximum 18F-NaF target to background ratios (TBRs) were measured. Of 55 patients, 35 (64%) manifested coronary 18F-NaF uptake. Of 68 high-risk lesions 49 (70%) had increased PET tracer activity. Of the APFs, LAP had the highest sensitivity (39.4%) and specificity (98.3%) for predicting 18F-NaF uptake. TBR values were higher in lesions with LAP compared to those without [1.6 (1.3-1.8) vs. 1.1 (1.0-1.3), P = 0.01]. On adjusted multivariable regression analysis, LAP (both qualitative and quantitative) was independently associated with plaque TBR [LAP qualitative: β = 0.47, 95% confidence interval (CI) 0.30-0.65; P < 0.001] and (LAP volume: β = 0.20 per 10 mm3, 95% CI 0.13-0.27; P < 0.001). CONCLUSION In stable CAD patients with HRP, LAP is predictive of 18F-NaF coronary uptake, but 18F-NaF is often seen in the absence of LAP. If 18F-NaF uptake is shown to be associated with adverse outcomes and becomes clinically used, the presence of LAP may define patients who would not benefit from the added testing.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA.,Department of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, Warsaw, Poland
| | - Damini Dey
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
| | - Sebastien Cadet
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
| | - Sang-Eun Lee
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Balaji Tamarappoo
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
| | - Yuka Otaki
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
| | - Phi T Huynh
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
| | - John D Friedman
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
| | - Mark R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Edinburgh, UK
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Edinburgh, UK
| | - Mijin Yun
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Piotr J Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
| | - Daniel S Berman
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, USA
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26
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Quer G, Arnaout R, Henne M, Arnaout R. Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review. J Am Coll Cardiol 2021; 77:300-313. [PMID: 33478654 PMCID: PMC7839163 DOI: 10.1016/j.jacc.2020.11.030] [Citation(s) in RCA: 165] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/12/2020] [Accepted: 11/13/2020] [Indexed: 12/14/2022]
Abstract
The role of physicians has always been to synthesize the data available to them to identify diagnostic patterns that guide treatment and follow response. Today, increasingly sophisticated machine learning algorithms may grow to support clinical experts in some of these tasks. Machine learning has the potential to benefit patients and cardiologists, but only if clinicians take an active role in bringing these new algorithms into practice. The aim of this review is to introduce clinicians who are not data science experts to key concepts in machine learning that will allow them to better understand the field and evaluate new literature and developments. The current published data in machine learning for cardiovascular disease is then summarized, using both a bibliometric survey, with code publicly available to enable similar analysis for any research topic of interest, and select case studies. Finally, several ways that clinicians can and must be involved in this emerging field are presented.
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Affiliation(s)
- Giorgio Quer
- Scripps Research Translational Institute, La Jolla, California, USA. https://twitter.com/giorgioquer
| | - Ramy Arnaout
- Division of Clinical Pathology, Department of Pathology, Beth Israel Deaconess Medical Center, Beth Israel Lahey Health, Boston, Massachusetts, USA
| | - Michael Henne
- Department of Medicine, Division of Cardiology, University of California, San Francisco, California, USA
| | - Rima Arnaout
- Department of Medicine, Division of Cardiology, Bakar Computational Health Sciences Institute, Center for Intelligent Imaging, University of California, San Francisco, California, USA.
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Mayer J, Wurster TH, Schaeffter T, Landmesser U, Morguet A, Bigalke B, Hamm B, Brenner W, Makowski MR, Kolbitsch C. Imaging coronary plaques using 3D motion-compensated [ 18F]NaF PET/MR. Eur J Nucl Med Mol Imaging 2021; 48:2455-2465. [PMID: 33474584 PMCID: PMC8241750 DOI: 10.1007/s00259-020-05180-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 12/26/2020] [Indexed: 12/19/2022]
Abstract
Background Cardiac PET has recently found novel applications in coronary atherosclerosis imaging using [18F]NaF as a radiotracer, highlighting vulnerable plaques. However, the resulting uptakes are relatively small, and cardiac motion and respiration-induced movement of the heart can impair the reconstructed images due to motion blurring and attenuation correction mismatches. This study aimed to apply an MR-based motion compensation framework to [18F]NaF data yielding high-resolution motion-compensated PET and MR images. Methods Free-breathing 3-dimensional Dixon MR data were acquired, retrospectively binned into multiple respiratory and cardiac motion states, and split into fat and water fraction using a model-based reconstruction framework. From the dynamic MR reconstructions, both a non-rigid cardiorespiratory motion model and a motion-resolved attenuation map were generated and applied to the PET data to improve image quality. The approach was tested in 10 patients and focal tracer hotspots were evaluated concerning their target-to-background ratio, contrast-to-background ratio, and their diameter. Results MR-based motion models were successfully applied to compensate for physiological motion in both PET and MR. Target-to-background ratios of identified plaques improved by 7 ± 7%, contrast-to-background ratios by 26 ± 38%, and the plaque diameter decreased by −22 ± 18%. MR-based dynamic attenuation correction strongly reduced attenuation correction artefacts and was not affected by stent-related signal voids in the underlying MR reconstructions. Conclusions The MR-based motion correction framework presented here can improve the target-to-background, contrast-to-background, and width of focal tracer hotspots in the coronary system. The dynamic attenuation correction could effectively mitigate the risk of attenuation correction artefacts in the coronaries at the lung-soft tissue boundary. In combination, this could enable a more reproducible and reliable plaque localisation. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-020-05180-4.
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Affiliation(s)
- Johannes Mayer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany.
| | - Thomas-Heinrich Wurster
- Klinik für Kardiologie, Charité Campus Benjamin Franklin, Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health, Berlin, Germany
| | - Tobias Schaeffter
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany.,School of Biomedical Imaging Sciences, King's College London, London, UK.,Department of Medical Engineering, Technische Universität Berlin, Berlin, Germany
| | - Ulf Landmesser
- Klinik für Kardiologie, Charité Campus Benjamin Franklin, Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Morguet
- Klinik für Kardiologie, Charité Campus Benjamin Franklin, Universitätsmedizin Berlin, Berlin, Germany
| | - Boris Bigalke
- Klinik für Kardiologie, Charité Campus Benjamin Franklin, Universitätsmedizin Berlin, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Winfried Brenner
- Department of Nuclear Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Marcus R Makowski
- Department of Medical Engineering, Technische Universität Berlin, Berlin, Germany.,Department of Radiology, Klinikum Rechts der Isar, Technische Universität München, München, Germany
| | - Christoph Kolbitsch
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany.,School of Biomedical Imaging Sciences, King's College London, London, UK
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28
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Advances in Quantitative Analysis of 18F-Sodium Fluoride Coronary Imaging. Mol Imaging 2021; 2021:8849429. [PMID: 33746631 PMCID: PMC7953548 DOI: 10.1155/2021/8849429] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 12/05/2020] [Indexed: 11/22/2022] Open
Abstract
18F-sodium fluoride (18F-NaF) positron emission tomography (PET) has emerged as a promising noninvasive imaging tool for the assessment of active calcification processes in coronary artery disease. 18F-NaF uptake colocalizes to high-risk and ruptured atherosclerotic plaques. Most recently, 18F-NaF coronary uptake was shown to be a robust and independent predictor of myocardial infarction in patients with advanced coronary artery disease. In this review, we provide an overview of the advances in coronary 18F-NaF imaging. In particular, we discuss the recently developed and validated motion correction techniques which address heart contractions, tidal breathing, and patient repositioning during the prolonged PET acquisitions. Additionally, we discuss a novel quantification approach—the coronary microcalcification activity (which has been inspired by the widely employed method in oncology total active tumor volume measurement). This new method provides a single number encompassing 18F-NaF activity within the entire coronary vasculature rather than just information regarding a single area of most intense tracer uptake.
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29
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Bing R, Loganath K, Adamson P, Newby D, Moss A. Non-invasive imaging of high-risk coronary plaque: the role of computed tomography and positron emission tomography. Br J Radiol 2020; 93:20190740. [PMID: 31821027 PMCID: PMC7465858 DOI: 10.1259/bjr.20190740] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/12/2019] [Accepted: 11/30/2019] [Indexed: 11/09/2022] Open
Abstract
Despite recent advances, cardiovascular disease remains the leading cause of death globally. As such, there is a need to optimise our current diagnostic and risk stratification pathways in order to better deliver individualised preventative therapies. Non-invasive imaging of coronary artery plaque can interrogate multiple aspects of coronary atherosclerotic disease, including plaque morphology, anatomy and flow. More recently, disease activity is being assessed to provide mechanistic insights into in vivo atherosclerosis biology. Molecular imaging using positron emission tomography is unique in this field, with the potential to identify specific biological processes using either bespoke or re-purposed radiotracers. This review provides an overview of non-invasive vulnerable plaque detection and molecular imaging of coronary atherosclerosis.
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Affiliation(s)
- Rong Bing
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Krithika Loganath
- Wessex Heart Centre, University Hospital of Southampton, Southampton, UK
| | | | - David Newby
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
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30
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Kwiecinski J, Cadet S, Daghem M, Lassen ML, Dey D, Dweck MR, Berman DS, Newby DE, Slomka PJ. Whole-vessel coronary 18F-sodium fluoride PET for assessment of the global coronary microcalcification burden. Eur J Nucl Med Mol Imaging 2020; 47:1736-1745. [PMID: 31897586 PMCID: PMC7271818 DOI: 10.1007/s00259-019-04667-z] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 12/20/2019] [Indexed: 01/12/2023]
Abstract
PURPOSE 18F-sodium fluoride (18F-NaF) has shown promise in assessing disease activity in coronary arteries, but currently used measures of activity - such as maximum target to background ratio (TBRmax) - are defined by single pixel count values. We aimed to develop a novel coronary-specific measure of 18F-NaF PET reflecting activity throughout the entire coronary vasculature (coronary microcalcification activity [CMA]). METHODS Patients with recent myocardial infarction and multi-vessel coronary artery disease underwent 18F-NaF PET and coronary CT angiography. We assessed the association between coronary 18F-NaF uptake (both TBRmax and CMA) and coronary artery calcium scores (CACS) as well as low attenuation plaque (LAP, attenuation < 30 Hounsfield units) volume. RESULTS In 50 patients (64% males, 63 ± 7 years), CMA and TBRmax were higher in vessels with LAP compared to those without LAP (1.09 [0.02, 2.34] versus 0.0 [0.0, 0.0], p < 0.001 and 1.23 [1.16, 1.37] versus 1.04 [0.93, 1.11], p < 0.001). Compared to a TBRmax threshold of 1.25, CMA > 0 had a higher diagnostic accuracy for detection of LAP: sensitivity of 93.1 (83.3-98.1)% versus 58.6 (44.9-71.4)% and a specificity of 95.7 (88.0-99.1)% versus 80.0 (68.7-88.6)% (both p < 0.001). 18F-NaF uptake assessed by CMA correlated more closely with LAP (r = 0.86, p < 0.001) than the CT calcium score (r = 0.39, p < 0.001), with these associations outperforming those observed for TBRmax values (LAP r = 0.63, p < 0.001; CT calcium score r = 0.30, p < 0.001). CONCLUSIONS Automated assessment of disease activity across the entire coronary vasculature is feasible using 18F-NaF CMA, providing a single measurement that has closer agreement with CT markers of plaque vulnerability than more traditional measures of plaque activity.
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Affiliation(s)
- Jacek Kwiecinski
- Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, 04-628, Warsaw, Poland
| | - Sebastien Cadet
- Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marwa Daghem
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Martin L Lassen
- Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Daniel S Berman
- Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Piotr J Slomka
- Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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31
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Tzolos E, Dweck MR. 18F-Sodium Fluoride ( 18F-NaF) for Imaging Microcalcification Activity in the Cardiovascular System. Arterioscler Thromb Vasc Biol 2020; 40:1620-1626. [PMID: 32375543 PMCID: PMC7310305 DOI: 10.1161/atvbaha.120.313785] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 04/15/2020] [Indexed: 01/23/2023]
Abstract
Accumulating preclinical and clinical evidence suggests that calcification is one of the body's primary responses to injury and a key pathological feature of cardiovascular disease. Calcification activity can now be imaged using 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) in combination with either computed tomography or magnetic resonance. These techniques allow visualization of calcification activity and, therefore, provide different information to the established macroscopic calcium imaged with computed tomography. Indeed, 18F-NaF PET has been used to investigate a wide range of valvular conditions, including aortic stenosis, mitral annular calcification, and bioprosthetic valve disease, as well as vascular conditions, including abdominal aortic aneurysm disease, coronary, and carotid atherosclerosis, peripheral vascular disease, and erectile dysfunction. In this brief review, we will focus on how 18F-NaF PET has improved our pathophysiological understanding of cardiovascular calcification and how it can be used as a marker of vascular calcification, providing a useful tool that can be utilized in clinical trials investigating the prediction of both disease progression and clinical events. Finally, we will discuss how 18F-NaF might be employed clinically to improve patient assessment and to guide decision-making.
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Affiliation(s)
- Evangelos Tzolos
- From the BHF Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
| | - Marc R. Dweck
- From the BHF Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
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Bellinge JW, Majeed K, Carr SS, Jones J, Hong I, Francis RJ, Schultz CJ. Coronary artery 18F-NaF PET analysis with the use of an elastic motion correction software. J Nucl Cardiol 2020; 27:952-961. [PMID: 30684262 DOI: 10.1007/s12350-018-01587-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 12/14/2018] [Indexed: 11/29/2022]
Abstract
INTRODUCTION 18F-Sodium Fluoride Positron Emission Tomography (18F-NaF PET) is a novel molecular imaging modality with promise for use as a risk stratification tool in cardiovascular disease. There are limitations in the analysis of small and rapidly moving coronary arteries using traditional PET technology. We aimed to validate the use of a motion correction algorithm (eMoco) on coronary 18F-NaF PET outcome parameters. METHODS Patients admitted with an acute coronary syndrome underwent 18F-NaF PET and computed tomography coronary angiography. 18F-NaF PET data were analyzed using a diastolic reconstruction, an ungated reconstruction and the eMoco reconstruction. RESULTS Twenty patients underwent 18F-NaF PET imaging and 17 patients had at least one positive lesion that could be used to compare PET reconstruction datasets. eMoco improved noise (the coefficient of variation of the blood pool radiotracer activity) compared to the diastolic dataset (0.09 [0.07 to 0.12] vs 0.14[0.11 to 0.17], p < .001) and marginally improved coronary lesion maximum tissue-to-background ratios compared to the ungated dataset (1.33 [1.05 to 1.48]vs 1.29 [1.04 to 1.40], p = .011). CONCLUSION In this pilot dataset, the eMoco reconstruction algorithm for motion correction appears to have potential in improving coronary analysis of 18F-NaF PET by reducing noise and increasing maximum counts. Further testing in a larger patient dataset is warranted.
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Affiliation(s)
- Jamie W Bellinge
- Cardiology Department, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia.
- School of Medicine, University of Western Australia, Crawley, WA, Australia.
| | - Kamran Majeed
- Cardiology Department, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia
- School of Medicine, University of Western Australia, Crawley, WA, Australia
| | - Stuart S Carr
- School of Medicine, University of Western Australia, Crawley, WA, Australia
| | - Judson Jones
- Molecular Imaging, Siemens Medical Solutions USA, Inc., Knoxville, TN, USA
| | - Inki Hong
- Molecular Imaging, Siemens Medical Solutions USA, Inc., Knoxville, TN, USA
| | - Roslyn J Francis
- School of Medicine, University of Western Australia, Crawley, WA, Australia
- Nuclear Medicine Department, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Carl J Schultz
- Cardiology Department, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia
- School of Medicine, University of Western Australia, Crawley, WA, Australia
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Massera D, Doris MK, Cadet S, Kwiecinski J, Pawade TA, Peeters FECM, Dey D, Newby DE, Dweck MR, Slomka PJ. Analytical quantification of aortic valve 18F-sodium fluoride PET uptake. J Nucl Cardiol 2020; 27:962-972. [PMID: 30499069 PMCID: PMC6541558 DOI: 10.1007/s12350-018-01542-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 11/07/2018] [Indexed: 11/24/2022]
Abstract
BACKGROUND Challenges to cardiac PET-CT include patient motion, prolonged image acquisition and a reduction of counts due to gating. We compared two analytical tools, FusionQuant and OsiriX, for quantification of gated cardiac 18F-sodium fluoride (18F-fluoride) PET-CT imaging. METHODS Twenty-seven patients with aortic stenosis were included, 15 of whom underwent repeated imaging 4 weeks apart. Agreement between analytical tools and scan-rescan reproducibility was determined using the Bland-Altman method and Lin's concordance correlation coefficients (CCC). RESULTS Image analysis was faster with FusionQuant [median time (IQR) 7:10 (6:40-8:20) minutes] compared with OsiriX [8:30 (8:00-10:10) minutes, p = .002]. Agreement of uptake measurements between programs was excellent, CCC = 0.972 (95% CI 0.949-0.995) for mean tissue-to-background ratio (TBRmean) and 0.981 (95% CI 0.965-0.997) for maximum tissue-to-background ratio (TBRmax). Mean noise decreased from 11.7% in the diastolic gate to 6.7% in motion-corrected images (p = .002); SNR increased from 25.41 to 41.13 (p = .0001). Aortic valve scan-rescan reproducibility for TBRmax was improved with FusionQuant using motion correction compared to OsiriX (error ± 36% vs ± 13%, p < .001) while reproducibility for TBRmean was similar (± 10% vs ± 8% p = .252). CONCLUSION 18F-fluoride PET quantification with FusionQuant and OsiriX is comparable. FusionQuant with motion correction offers advantages with respect to analysis time and reproducibility of TBRmax values.
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Affiliation(s)
- Daniele Massera
- Leon H. Charney Division of Cardiology, New York University School of Medicine, New York, NY, USA
| | - Mhairi K Doris
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK
| | - Sebastien Cadet
- Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA
| | - Jacek Kwiecinski
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK
- Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA
| | - Tania A Pawade
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK
| | | | - Damini Dey
- Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA
| | - David E Newby
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, Scotland, UK
| | - Piotr J Slomka
- Department of Imaging, Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Ste A047 N, Los Angeles, CA, 90048, USA.
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Kwiecinski J, Slomka PJ, Dweck MR, Newby DE, Berman DS. Vulnerable plaque imaging using 18F-sodium fluoride positron emission tomography. Br J Radiol 2019; 93:20190797. [PMID: 31804143 DOI: 10.1259/bjr.20190797] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Positron emission tomography (PET) with 18F-sodium fluoride (18F-NaF) has emerged as a promising non-invasive imaging modality to identify high-risk and ruptured atherosclerotic plaques. By visualizing microcalcification, 18F-NaF PET holds clinical promise in refining how we evaluate coronary artery disease, shifting our focus from assessing disease burden to atherosclerosis activity. In this review, we provide an overview of studies that have utilized 18F-NaF PET for imaging atherosclerosis. We discuss the associations between traditional coronary artery disease measures (risk factors) and 18F-NaF plaque activity. We also present the data on the histological validation as well as show how 18F-NaF uptake is associated with plaque morphology on intravascular and CT imaging. Finally, we discuss the technical challenges associated with 18F-NaF coronary PET highlighting recent advances in this area.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, USA.,Department of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, 04-628 Warsaw, Poland
| | - Piotr J Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, USA
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Daniel S Berman
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, USA
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35
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Høilund-Carlsen PF, Sturek M, Alavi A, Gerke O. Atherosclerosis imaging with 18F-sodium fluoride PET: state-of-the-art review. Eur J Nucl Med Mol Imaging 2019; 47:1538-1551. [PMID: 31773235 PMCID: PMC7188711 DOI: 10.1007/s00259-019-04603-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 11/05/2019] [Indexed: 12/30/2022]
Abstract
Purpose We examined the literature to elucidate the role of 18F-sodium fluoride (NaF)-PET in atherosclerosis. Methods Following a systematic search of PubMed/MEDLINE, Embase, and Cochrane Library included articles underwent subjective quality assessment with categories low, medium, and high. Of 2811 records, 1780 remained after removal of duplicates. Screening by title and abstract left 41 potentially eligible full-text articles, of which 8 (about the aortic valve (n = 1), PET/MRI feasibility (n = 1), aortic aneurysms (n = 1), or quantification methodology (n = 5)) were dismissed, leaving 33 published 2010–2012 (n = 6), 2013–2015 (n = 11), and 2016–2018 (n = 16) for analysis. Results They focused on coronary (n = 8), carotid (n = 7), and femoral arteries (n = 1), thoracic aorta (n = 1), and infrarenal aorta (n = 1). The remaining 15 studies examined more than one arterial segment. The literature was heterogeneous: few studies were designed to investigate atherosclerosis, 13 were retrospective, 9 applied both FDG and NaF as tracers, 24 NaF only. Subjective quality was low in one, medium in 13, and high in 19 studies. The literature indicates that NaF is a very specific tracer that mimics active arterial wall microcalcification, which is positively associated with cardiovascular risk. Arterial NaF uptake often presents before CT-calcification, tends to decrease with increasing density of CT-calcification, and appears, rather than FDG-avid foci, to progress to CT-calcification. It is mainly surface localized, increases with age with a wide scatter but without an obvious sex difference. NaF-avid microcalcification can occur in fatty streaks, but the degree of progression to CT-calcification is unknown. It remains unknown whether medical therapy influences microcalcification. The literature held no therapeutic or randomized controlled trials. Conclusion The literature was heterogeneous and with few clear cut messages. NaF-PET is a new approach to detect and quantify microcalcification in early-stage atherosclerosis. NaF uptake correlates with cardiovascular risk factors and appears to be a good measure of the body’s atherosclerotic burden, potentially suited also for assessment of anti-atherosclerotic therapy. Electronic supplementary material The online version of this article (10.1007/s00259-019-04603-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Poul F Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark. .,Research Unit of Clinical Physiology and Nuclear Medicine, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Michael Sturek
- Department of Anatomy, Cell Biology, Physiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Abass Alavi
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Oke Gerke
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark.,Research Unit of Clinical Physiology and Nuclear Medicine, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Lassen ML, Kwiecinski J, Dey D, Cadet S, Germano G, Berman DS, Adamson PD, Moss AJ, Dweck MR, Newby DE, Slomka PJ. Triple-gated motion and blood pool clearance corrections improve reproducibility of coronary 18F-NaF PET. Eur J Nucl Med Mol Imaging 2019; 46:2610-2620. [PMID: 31385011 PMCID: PMC6814554 DOI: 10.1007/s00259-019-04437-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 07/11/2019] [Indexed: 12/16/2022]
Abstract
PURPOSE To improve the test-retest reproducibility of coronary plaque 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) uptake measurements. METHODS We recruited 20 patients with coronary artery disease who underwent repeated hybrid PET/CT angiography (CTA) imaging within 3 weeks. All patients had 30-min PET acquisition and CTA during a single imaging session. Five PET image-sets with progressive motion correction were reconstructed: (i) a static dataset (no-MC), (ii) end-diastolic PET (standard), (iii) cardiac motion corrected (MC), (iv) combined cardiac and gross patient motion corrected (2 × MC) and, (v) cardiorespiratory and gross patient motion corrected (3 × MC). In addition to motion correction, all datasets were corrected for variations in the background activities which are introduced by variations in the injection-to-scan delays (background blood pool clearance correction, BC). Test-retest reproducibility of PET target-to-background ratio (TBR) was assessed by Bland-Altman analysis and coefficient of reproducibility. RESULTS A total of 47 unique coronary lesions were identified on CTA. Motion correction in combination with BC improved the PET TBR test-retest reproducibility for all lesions (coefficient of reproducibility: standard = 0.437, no-MC = 0.345 (27% improvement), standard + BC = 0.365 (20% improvement), no-MC + BC = 0.341 (27% improvement), MC + BC = 0.288 (52% improvement), 2 × MC + BC = 0.278 (57% improvement) and 3 × C + BC = 0.254 (72% improvement), all p < 0.001). Importantly, in a sub-analysis of 18F-NaF-avid lesions with gross patient motion > 10 mm following corrections, reproducibility was improved by 133% (coefficient of reproducibility: standard = 0.745, 3 × MC = 0.320). CONCLUSION Joint corrections for cardiac, respiratory, and gross patient motion in combination with background blood pool corrections markedly improve test-retest reproducibility of coronary 18F-NaF PET.
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Affiliation(s)
- Martin Lyngby Lassen
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste A047N, California, Los Angeles, 90048, USA
| | - Jacek Kwiecinski
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste A047N, California, Los Angeles, 90048, USA
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste A047N, California, Los Angeles, 90048, USA
| | - Sebastien Cadet
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste A047N, California, Los Angeles, 90048, USA
| | - Guido Germano
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste A047N, California, Los Angeles, 90048, USA
| | - Daniel S Berman
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste A047N, California, Los Angeles, 90048, USA
| | - Philip D Adamson
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, UK
| | - Alastair J Moss
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, UK
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, UK
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, UK
| | - Piotr J Slomka
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste A047N, California, Los Angeles, 90048, USA.
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Kwiecinski J, Adamson PD, Lassen ML, Doris MK, Moss AJ, Cadet S, Jansen MA, Dey D, Lee SE, Yun M, Chang HJ, Dweck MR, Newby DE, Berman DS, Slomka PJ. Feasibility of Coronary 18F-Sodium Fluoride Positron-Emission Tomography Assessment With the Utilization of Previously Acquired Computed Tomography Angiography. Circ Cardiovasc Imaging 2019; 11:e008325. [PMID: 30558496 DOI: 10.1161/circimaging.118.008325] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND We assessed the feasibility of utilizing previously acquired computed tomography angiography (CTA) with subsequent positron-emission tomography (PET)-only scan for the quantitative evaluation of 18F-NaF PET coronary uptake. METHODS AND RESULTS Forty-five patients (age 67.1±6.9 years; 76% males) underwent CTA (CTA1) and combined 18F-NaF PET/CTA (CTA2) imaging within 14 [10, 21] days. We fused CTA1 from visit 1 with 18F-NaF PET (PET) from visit 2 and compared visual pattern of activity, maximal standard uptake (SUVmax) values, and target to background ratio (TBR) measurements on (PET/CTA1) fused versus hybrid (PET/CTA2). On PET/CTA2, 226 coronary plaques were identified. Fifty-eight coronary segments from 28 (62%) patients had high 18F-NaF uptake (TBR >1.25), whereas 168 segments had lesions with 18F-NaF TBR ≤1.25. Uptake in all lesions was categorized identically on coregistered PET/CTA1. There was no significant difference in 18F-NaF uptake values between PET/CTA1 and PET/CTA2 (SUVmax, 1.16±0.40 versus 1.15±0.39; P=0.53; TBR, 1.10±0.45 versus 1.09±0.46; P=0.55). The intraclass correlation coefficient for SUVmax and TBR was 0.987 (95% CI, 0.983-0.991) and 0.986 (95% CI, 0.981-0.992). There was no fixed or proportional bias between PET/CTA1 and PET/CTA2 for SUVmax and TBR. Cardiac motion correction of PET scans improved reproducibility with tighter 95% limits of agreement (±0.14 for SUVmax and ±0.15 for TBR versus ±0.20 and ±0.20 on diastolic imaging; P<0.001). CONCLUSIONS Coronary CTA/PET protocol with CTA first followed by PET-only allows for reliable and reproducible quantification of 18F-NaF coronary uptake. This approach may facilitate selection of high-risk patients for PET-only imaging based on results from prior CTA, providing a practical workflow for clinical application.
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Affiliation(s)
- Jacek Kwiecinski
- Cedars-Sinai Medical Center, Los Angeles, CA (J.K., M.L.L., S.C., D.D., D.S.B., P.J.S.).,BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, United Kingdom (J.K., P.D.A., M.K.D., A.J.M., M.A.J., M.R.D., D.E.N.)
| | - Philip D Adamson
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, United Kingdom (J.K., P.D.A., M.K.D., A.J.M., M.A.J., M.R.D., D.E.N.)
| | - Martin L Lassen
- Cedars-Sinai Medical Center, Los Angeles, CA (J.K., M.L.L., S.C., D.D., D.S.B., P.J.S.)
| | - Mhairi K Doris
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, United Kingdom (J.K., P.D.A., M.K.D., A.J.M., M.A.J., M.R.D., D.E.N.)
| | - Alastair J Moss
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, United Kingdom (J.K., P.D.A., M.K.D., A.J.M., M.A.J., M.R.D., D.E.N.)
| | - Sebastian Cadet
- Cedars-Sinai Medical Center, Los Angeles, CA (J.K., M.L.L., S.C., D.D., D.S.B., P.J.S.)
| | - Maurits A Jansen
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, United Kingdom (J.K., P.D.A., M.K.D., A.J.M., M.A.J., M.R.D., D.E.N.)
| | - Damini Dey
- Cedars-Sinai Medical Center, Los Angeles, CA (J.K., M.L.L., S.C., D.D., D.S.B., P.J.S.)
| | - Sang-Eun Lee
- Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea (S.-E.L., M.Y., H.-J.C.)
| | - Mijin Yun
- Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea (S.-E.L., M.Y., H.-J.C.)
| | - Hyuk-Jae Chang
- Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea (S.-E.L., M.Y., H.-J.C.)
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, United Kingdom (J.K., P.D.A., M.K.D., A.J.M., M.A.J., M.R.D., D.E.N.)
| | - David E Newby
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, United Kingdom (J.K., P.D.A., M.K.D., A.J.M., M.A.J., M.R.D., D.E.N.)
| | - Daniel S Berman
- Cedars-Sinai Medical Center, Los Angeles, CA (J.K., M.L.L., S.C., D.D., D.S.B., P.J.S.)
| | - Piotr J Slomka
- Cedars-Sinai Medical Center, Los Angeles, CA (J.K., M.L.L., S.C., D.D., D.S.B., P.J.S.)
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Salarian M, Sadeghi MM. Hype or Hope 18F-NaF Positron Emission Tomography for Vulnerable Coronary Plaque Imaging. Circ Cardiovasc Imaging 2019; 12:e009591. [PMID: 31382767 DOI: 10.1161/circimaging.119.009591] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Mani Salarian
- Section of Cardiovascular Medicine and Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (M.S., M.M.S.).,VA Connecticut Healthcare System, West Haven (M.S., M.M.S.)
| | - Mehran M Sadeghi
- Section of Cardiovascular Medicine and Cardiovascular Research Center, Yale University School of Medicine, New Haven, CT (M.S., M.M.S.).,VA Connecticut Healthcare System, West Haven (M.S., M.M.S.)
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Moss AJ, Doris MK, Andrews JPM, Bing R, Daghem M, van Beek EJR, Forsyth L, Shah ASV, Williams MC, Sellers S, Leipsic J, Dweck MR, Parker RA, Newby DE, Adamson PD. Molecular Coronary Plaque Imaging Using 18F-Fluoride. Circ Cardiovasc Imaging 2019; 12:e008574. [PMID: 31382765 PMCID: PMC7668410 DOI: 10.1161/circimaging.118.008574] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 06/03/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Coronary 18F-fluoride positron emission tomography identifies ruptured and high-risk atherosclerotic plaque. The optimal method to identify, to quantify, and to categorize increased coronary 18F-fluoride uptake and determine its reproducibility has yet to be established. This study aimed to optimize the identification, quantification, categorization, and scan-rescan reproducibility of increased 18F-fluoride activity in coronary atherosclerotic plaque. METHODS In a prospective observational study, patients with multi-vessel coronary artery disease underwent serial 18F-fluoride positron emission tomography. Coronary 18F-fluoride activity was visually assessed, quantified, and categorized with reference to maximal tissue to background ratios. Levels of agreement for both visual and quantitative methods were determined between scans and observers. RESULTS Thirty patients (90% male, 20 patients with stable coronary artery disease, and 10 with recent type 1 myocardial infarction) underwent paired serial positron emission tomography-coronary computed tomography angiography imaging within an interval of 12±5 days. A mean of 3.7±1.8 18F-fluoride positive plaques per patient was identified after recent acute coronary syndrome, compared with 2.4±2.3 positive plaques per patient in stable coronary artery disease. The bias in agreement in maximum tissue to background ratio measurements in visually positive plaques was low between observers (mean difference, -0.01; 95% limits of agreement, -0.32 to 0.30) or between scans (mean difference, 0.06; 95% limits of agreement, -0.49 to 0.61). Good agreement in the categorization of focal 18F-fluoride uptake was achieved using visual assessment alone (κ=0.66) and further improved at higher maximum tissue to background ratio values. CONCLUSIONS Coronary 18F-fluoride activity is a precise and reproducible metric in the coronary vasculature. The analytical performance of 18F-fluoride is sufficient to assess the prognostic utility of this radiotracer as a noninvasive imaging biomarker of plaque vulnerability. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifiers: NCT02110303 and NCT02278211.
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Affiliation(s)
- Alastair J Moss
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Mhairi K Doris
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Jack P M Andrews
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Rong Bing
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Marwa Daghem
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Edwin J R van Beek
- Edinburgh Imaging, Queen's Medical Research Institute University of Edinburgh, United Kingdom (E.J.R.v.B., M.C.W.)
| | - Laura Forsyth
- Edinburgh Clinical Trials Unit (L.F., R.A.P.), University of Edinburgh, United Kingdom
| | - Anoop S V Shah
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Michelle C Williams
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
- Edinburgh Imaging, Queen's Medical Research Institute University of Edinburgh, United Kingdom (E.J.R.v.B., M.C.W.)
| | - Stephanie Sellers
- Department of Radiology, St Paul's Hospital and University of British Columbia, Vancouver, Canada (S.S., J.L.)
| | - Jonathon Leipsic
- Department of Radiology, St Paul's Hospital and University of British Columbia, Vancouver, Canada (S.S., J.L.)
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Richard A Parker
- Edinburgh Clinical Trials Unit (L.F., R.A.P.), University of Edinburgh, United Kingdom
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
| | - Philip D Adamson
- British Heart Foundation Centre for Cardiovascular Science (A.J.M., M.K.D., J.P.M.A., R.B., M.D., A.S.V.S., M.C.W., M.R.D., D.E.N., P.D.A.), University of Edinburgh, United Kingdom
- Christchurch Heart Institute, University of Otago, New Zealand (P.D.A.)
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Bing R, Driessen RS, Knaapen P, Dweck MR. The clinical utility of hybrid imaging for the identification of vulnerable plaque and vulnerable patients. J Cardiovasc Comput Tomogr 2019; 13:242-247. [PMID: 31345766 DOI: 10.1016/j.jcct.2019.07.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/03/2019] [Accepted: 07/07/2019] [Indexed: 12/24/2022]
Abstract
Despite decades of research and major innovations in technology, cardiovascular disease remains the leading cause of death globally. Our understanding of major cardiovascular events and their prevention is centred around the atherosclerotic plaque and the processes that ultimately lead to acute plaque rupture. Recent advances in hybrid imaging technology allow the combination of high spatial resolution and anatomical detail with molecular assessments of disease activity. This provides the ability to identify vulnerable plaque characteristics and differentiate active and quiescent disease, with the potential to improve patient risk stratification. Combined positron emission tomography and computed tomography is the prototypical non-invasive hybrid imaging technique for coronary artery plaque assessment. In this review we discuss the current state of play in the field of hybrid coronary atherosclerosis imaging.
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Affiliation(s)
- Rong Bing
- BHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh, United Kingdom
| | - Roel S Driessen
- Department of Cardiology, VU University Medical Centre, de Boelelaan 1117, 1081, HV, Amsterdam, the Netherlands
| | - Paul Knaapen
- Department of Cardiology, VU University Medical Centre, de Boelelaan 1117, 1081, HV, Amsterdam, the Netherlands
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh, United Kingdom.
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Peri-Coronary Adipose Tissue Density Is Associated With 18F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk Plaques. JACC Cardiovasc Imaging 2019; 12:2000-2010. [PMID: 30772226 DOI: 10.1016/j.jcmg.2018.11.032] [Citation(s) in RCA: 126] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 11/12/2018] [Accepted: 11/15/2018] [Indexed: 12/27/2022]
Abstract
OBJECTIVES This study aimed to assess the association between increased lesion peri-coronary adipose tissue (PCAT) density and coronary 18F-sodium fluoride (18F-NaF) uptake on positron emission tomography (PET) in stable patients with high-risk coronary plaques (HRPs) shown on coronary computed tomography angiography (CTA). BACKGROUND Coronary 18F-NaF uptake reflects the rate of calcification of coronary atherosclerotic plaque. Increased PCAT density is associated with vascular inflammation. Currently, the relationship between increased PCAT density and 18F-NaF uptake in stable patients with HRPs on coronary CTA has not been characterized. METHODS Patients who underwent coronary CTA were screened for HRP, which was defined by 3 concurrent plaque features: positive remodeling; low attenuation plaque (LAP) (<30 Hounsfield units [HU]) and spotty calcification; and obstructive coronary stenosis ≥50% (plaque volume >100 mm3). Patients with HRPs were recruited to undergo 18F-NaF PET/CT. In lesions with stenosis ≥25%, quantitative plaque analysis, mean PCAT density, maximal coronary motion-corrected 18F-NaF standard uptake values (SUVmax), and target-to-background ratios (TBR) were measured. RESULTS Forty-one patients (age 65 ± 6 years; 68% men) were recruited. Fifty-one lesions in 23 patients (56%) showed increased coronary 18F-NaF activity. Lesions with 18F-NaF uptake had higher surrounding PCAT density than those without 18F-NaF uptake (-73 HU; interquartile range -79 to -68 HU vs. -86 HU; interquartile range -94 to -80 HU; p < 0.001). 18F-NaF TBR and SUVmax were correlated with PCAT density (r = 0.63 and r = 0.68, respectively; all p < 0.001). On adjusted multiple regression analysis, increased lesion PCAT density and LAP volume were associated with 18F-NaF TBR (β = 0.25; 95% confidence interval: 0.17 to 0.34; p < 0.001 for PCAT, and β = 0.07; 95% confidence interval: 0.03 to 0.11; p = 0.002 for LAP). CONCLUSIONS In patients with HRP features on coronary CTA, increased density of PCAT was associated with focal 18F-NaF PET uptake. Simultaneous assessment of these imaging biomarkers by 18F-NaF PET and CTA might refine cardiovascular risk prediction in stable patients with HRP features.
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