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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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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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Counseller Q, Aboelkassem Y. Recent technologies in cardiac imaging. FRONTIERS IN MEDICAL TECHNOLOGY 2023; 4:984492. [PMID: 36704232 PMCID: PMC9872125 DOI: 10.3389/fmedt.2022.984492] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 11/30/2022] [Indexed: 01/11/2023] Open
Abstract
Cardiac imaging allows physicians to view the structure and function of the heart to detect various heart abnormalities, ranging from inefficiencies in contraction, regulation of volumetric input and output of blood, deficits in valve function and structure, accumulation of plaque in arteries, and more. Commonly used cardiovascular imaging techniques include x-ray, computed tomography (CT), magnetic resonance imaging (MRI), echocardiogram, and positron emission tomography (PET)/single-photon emission computed tomography (SPECT). More recently, even more tools are at our disposal for investigating the heart's physiology, performance, structure, and function due to technological advancements. This review study summarizes cardiac imaging techniques with a particular interest in MRI and CT, noting each tool's origin, benefits, downfalls, clinical application, and advancement of cardiac imaging in the near future.
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Affiliation(s)
- Quinn Counseller
- College of Health Sciences, University of Michigan, Flint, MI, United States
| | - Yasser Aboelkassem
- College of Innovation and Technology, University of Michigan, Flint, MI, United States
- Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, United States
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Current Concepts and Future Applications of Non-Invasive Functional and Anatomical Evaluation of Coronary Artery Disease. Life (Basel) 2022; 12:life12111803. [PMID: 36362957 PMCID: PMC9696378 DOI: 10.3390/life12111803] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/31/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022] Open
Abstract
Over the last decades, significant advances have been achieved in the treatment of coronary artery disease (CAD). Proper non-invasive diagnosis and appropriate management based on functional information and the extension of ischemia or viability remain the cornerstone in the fight against adverse CAD events. Stress echocardiography and single photon emission computed tomography are often used for the evaluation of ischemia. Advancements in non-invasive imaging modalities such as computed tomography (CT) coronary angiography and cardiac magnetic resonance imaging (MRI) have not only allowed non-invasive imaging of coronary artery lumen but also provide additional functional information. Other characteristics regarding the plaque morphology can be further evaluated with the latest modalities achieving a morpho-functional evaluation of CAD. Advances in the utilization of positron emission tomography (PET), as well as software advancements especially regarding cardiac CT, may provide additional prognostic information to a more evidence-based treatment decision. Since the armamentarium on non-invasive imaging modalities has evolved, the knowledge of the capabilities and limitations of each imaging modality should be evaluated in a case-by-case basis to achieve the best diagnosis and treatment decision. In this review article, we present the most recent advances in the noninvasive anatomical and functional evaluation of CAD.
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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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Schultz J, Siekkinen R, Tadi MJ, Teräs M, Klén R, Lehtonen E, Saraste A, Teuho J. Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification. J Nucl Cardiol 2022; 29:2423-2433. [PMID: 34476780 PMCID: PMC9553777 DOI: 10.1007/s12350-021-02769-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/10/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND Dual-gating reduces respiratory and cardiac motion effects but increases noise. With motion correction, motion is minimized and image quality preserved. We applied motion correction to create end-diastolic respiratory motion corrected images from dual-gated images. METHODS [18F]-fluorodeoxyglucose ([18F]-FDG) PET images of 13 subjects were reconstructed with 4 methods: non-gated, dual-gated, motion corrected, and motion corrected with 4D-CT (MoCo-4D). Image quality was evaluated using standardized uptake values, contrast ratio, signal-to-noise ratio, coefficient of variation, and contrast-to-noise ratio. Motion minimization was evaluated using myocardial wall thickness. RESULTS MoCo-4D showed improvement for contrast ratio (2.83 vs 2.76), signal-to-noise ratio (27.5 vs 20.3) and contrast-to-noise ratio (14.5 vs 11.1) compared to dual-gating. The uptake difference between MoCo-4D and non-gated images was non-significant (P > .05) for the myocardium (2.06 vs 2.15 g/mL), but significant (P < .05) for the blood pool (.80 vs .86 g/mL). Non-gated images had the lowest coefficient of variation (27.3%), with significant increase for all other methods (31.6-32.5%). MoCo-4D showed smallest myocardial wall thickness (16.6 mm) with significant decrease compared to non-gated images (20.9 mm). CONCLUSIONS End-diastolic respiratory motion correction and 4D-CT resulted in improved motion minimization and image quality over standard dual-gating.
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Affiliation(s)
- Jussi Schultz
- Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland
- Turku PET Centre, University of Turku, Turku, Finland
| | - Reetta Siekkinen
- Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland
- Turku PET Centre, University of Turku, Turku, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
- Department of Computing, University of Turku, Turku, Finland
| | - Mojtaba Jafari Tadi
- Department of Computing, University of Turku, Turku, Finland
- School of ICT, Turku University of Applied Sciences, Turku, Finland
| | - Mika Teräs
- Department of Medical Physics, Turku University Hospital, Turku, Finland
- Department of Biomedicine, University of Turku, Turku, Finland
| | - Riku Klén
- Turku PET Centre, University of Turku, Turku, Finland
| | - Eero Lehtonen
- Department of Computing, University of Turku, Turku, Finland
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland
- Turku PET Centre, University of Turku, Turku, Finland
- Heart Centre, Turku University Hospital, Turku, Finland
| | - Jarmo Teuho
- Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, 20521, Turku, Finland.
- Turku PET Centre, University of Turku, Turku, Finland.
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Schwenck J, Kneilling M, Riksen NP, la Fougère C, Mulder DJ, Slart RJHA, Aarntzen EHJG. A role for artificial intelligence in molecular imaging of infection and inflammation. Eur J Hybrid Imaging 2022; 6:17. [PMID: 36045228 PMCID: PMC9433558 DOI: 10.1186/s41824-022-00138-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/16/2022] [Indexed: 12/03/2022] Open
Abstract
The detection of occult infections and low-grade inflammation in clinical practice remains challenging and much depending on readers’ expertise. Although molecular imaging, like [18F]FDG PET or radiolabeled leukocyte scintigraphy, offers quantitative and reproducible whole body data on inflammatory responses its interpretation is limited to visual analysis. This often leads to delayed diagnosis and treatment, as well as untapped areas of potential application. Artificial intelligence (AI) offers innovative approaches to mine the wealth of imaging data and has led to disruptive breakthroughs in other medical domains already. Here, we discuss how AI-based tools can improve the detection sensitivity of molecular imaging in infection and inflammation but also how AI might push the data analysis beyond current application toward predicting outcome and long-term risk assessment.
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Theofilis P, Sagris M, Antonopoulos AS, Oikonomou E, Tsioufis K, Tousoulis D. Non-Invasive Modalities in the Assessment of Vulnerable Coronary Atherosclerotic Plaques. Tomography 2022; 8:1742-1758. [PMID: 35894012 PMCID: PMC9326642 DOI: 10.3390/tomography8040147] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/04/2022] [Accepted: 07/04/2022] [Indexed: 12/26/2022] Open
Abstract
Coronary atherosclerosis is a complex, multistep process that may lead to critical complications upon progression, revolving around plaque disruption through either rupture or erosion. Several high-risk features are associated with plaque vulnerability and may add incremental prognostic information. Although invasive imaging modalities such as optical coherence tomography or intravascular ultrasound are considered to be the gold standard in the assessment of vulnerable coronary atherosclerotic plaques (VCAPs), contemporary evidence suggests a potential role for non-invasive methods in this context. Biomarkers associated with deleterious pathophysiologic pathways, including inflammation and extracellular matrix degradation, have been correlated with VCAP characteristics and adverse prognosis. However, coronary computed tomography (CT) angiography has been the most extensively investigated technique, significantly correlating with invasive method-derived VCAP features. The estimation of perivascular fat attenuation as well as radiomic-based approaches represent additional concepts that may add incremental information. Cardiac magnetic resonance imaging (MRI) has also been evaluated in clinical studies, with promising results through the various image sequences that have been tested. As far as nuclear cardiology is concerned, the implementation of positron emission tomography in the VCAP assessment currently faces several limitations with the myocardial uptake of the radiotracer in cases of fluorodeoxyglucose use, as well as with motion correction. Moreover, the search for the ideal radiotracer and the most adequate combination (CT or MRI) is still ongoing. With a look to the future, the possible combination of imaging and circulating inflammatory and extracellular matrix degradation biomarkers in diagnostic and prognostic algorithms may represent the essential next step for the assessment of high-risk individuals.
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Affiliation(s)
- Panagiotis Theofilis
- 1st Cardiology Department, “Hippokration” General Hospital, Medical School, University of Athens, 11527 Athens, Greece; (M.S.); (A.S.A.); (E.O.); (K.T.); (D.T.)
- Correspondence:
| | - Marios Sagris
- 1st Cardiology Department, “Hippokration” General Hospital, Medical School, University of Athens, 11527 Athens, Greece; (M.S.); (A.S.A.); (E.O.); (K.T.); (D.T.)
| | - Alexios S. Antonopoulos
- 1st Cardiology Department, “Hippokration” General Hospital, Medical School, University of Athens, 11527 Athens, Greece; (M.S.); (A.S.A.); (E.O.); (K.T.); (D.T.)
| | - Evangelos Oikonomou
- 1st Cardiology Department, “Hippokration” General Hospital, Medical School, University of Athens, 11527 Athens, Greece; (M.S.); (A.S.A.); (E.O.); (K.T.); (D.T.)
- 3rd Cardiology Department, Thoracic Diseases Hospital “Sotiria”, University of Athens Medical School, 11527 Athens, Greece
| | - Konstantinos Tsioufis
- 1st Cardiology Department, “Hippokration” General Hospital, Medical School, University of Athens, 11527 Athens, Greece; (M.S.); (A.S.A.); (E.O.); (K.T.); (D.T.)
| | - Dimitris Tousoulis
- 1st Cardiology Department, “Hippokration” General Hospital, Medical School, University of Athens, 11527 Athens, Greece; (M.S.); (A.S.A.); (E.O.); (K.T.); (D.T.)
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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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11
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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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12
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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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13
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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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14
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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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15
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Mayer J, Jin Y, Wurster TH, Makowski MR, Kolbitsch C. Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2021; 379:20200202. [PMID: 33966463 PMCID: PMC8107649 DOI: 10.1098/rsta.2020.0202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Coronary artery disease (CAD) is caused by the formation of plaques in the coronary arteries and is one of the most common cardiovascular diseases. NaF-PET can be used to assess plaque composition, which could be important for therapy planning. One of the main challenges of NaF-PET is cardiac and respiratory motion which can strongly impair diagnostic accuracy. In this study, we investigated the use of a synergistic image registration approach which combined motion-resolved MR and PET data to estimate cardiac and respiratory motion. This motion estimation could then be used to improve the NaF-PET image quality. The approach was evaluated with numerical simulations and in vivo scans of patients suffering from CAD. In numerical simulations, it was shown, that combining MR and PET information can improve the accuracy of motion estimation by more than 15%. For the in vivo scans, the synergistic image registration led to an improvement in uptake visualization. This is the first study to assess the benefit of combining MR and NaF-PET for cardiac and respiratory motion estimation. Further patient evaluation is required to fully evaluate the potential of this approach. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.
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Affiliation(s)
- Johannes Mayer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Yining Jin
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Thomas-Heinrich Wurster
- Klinik für Kardiologie, Charité Campus Benjamin Franklin, Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Marcus R. Makowski
- Department of Radiology, Charité, Universitätsmedizin Berlin, Berlin, Germany
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christoph Kolbitsch
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
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16
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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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17
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Sriranjan RS, Tarkin JM, Evans NR, Le EPV, Chowdhury MM, Rudd JHF. Atherosclerosis imaging using PET: Insights and applications. Br J Pharmacol 2021; 178:2186-2203. [PMID: 31517992 DOI: 10.1111/bph.14868] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 08/02/2019] [Accepted: 08/16/2019] [Indexed: 12/17/2022] Open
Abstract
PET imaging is able to harness biological processes to characterise high-risk features of atherosclerotic plaque prone to rupture. Current radiotracers are able to track inflammation, microcalcification, hypoxia, and neoangiogenesis within vulnerable plaque. 18 F-fluorodeoxyglucose (18 F-FDG) is the most commonly used radiotracer in vascular studies and is employed as a surrogate marker of plaque inflammation. Increasingly, 18 F-FDG and other PET tracers are also being used to provide imaging endpoints in cardiovascular interventional trials. The evolution of novel PET radiotracers, imaging protocols, and hybrid scanners are likely to enable more efficient and accurate characterisation of high-risk plaque. This review explores the role of PET imaging in atherosclerosis with a focus on PET tracers utilised in clinical research and the applications of PET imaging to cardiovascular drug development.
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Affiliation(s)
| | - Jason M Tarkin
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
| | - Nicholas R Evans
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
| | - Elizabeth P V Le
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
| | | | - James H F Rudd
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
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18
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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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19
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Kwiecinski J, Tzolos E, Adamson PD, Cadet S, Moss AJ, Joshi N, Williams MC, van Beek EJR, Dey D, Berman DS, Newby DE, Slomka PJ, Dweck MR. Coronary 18F-Sodium Fluoride Uptake Predicts Outcomes in Patients With Coronary Artery Disease. J Am Coll Cardiol 2021; 75:3061-3074. [PMID: 32553260 DOI: 10.1016/j.jacc.2020.04.046] [Citation(s) in RCA: 91] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 03/09/2020] [Accepted: 04/21/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Reliable methods for predicting myocardial infarction in patients with established coronary artery disease are lacking. Coronary 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) provides an assessment of atherosclerosis activity. OBJECTIVES This study assessed whether 18F-NaF PET predicts myocardial infarction and provides additional prognostic information to current methods of risk stratification. METHODS Patients with known coronary artery disease underwent 18F-NaF PET computed tomography and were followed up for fatal or nonfatal myocardial infarction over 42 months (interquartile range: 31 to 49 months). Total coronary 18F-NaF uptake was determined by the coronary microcalcification activity (CMA). RESULTS In a post hoc analysis of data collected for prospective observational studies, the authors studied 293 study participants (age: 65 ± 9 years; 84% men), of whom 203 (69%) showed increased coronary 18F-NaF activity (CMA >0). Fatal or nonfatal myocardial infarction occurred only in patients with increased coronary 18F-NaF activity (20 of 203 with a CMA >0 vs. 0 of 90 with a CMA of 0; p < 0.001). On receiver operator curve analysis, fatal or nonfatal myocardial infarction prediction was highest for 18F-NaF CMA, outperforming coronary calcium scoring, modified Duke coronary artery disease index and Reduction of Atherothrombosis for Continued Health (REACH) and Secondary Manifestations of Arterial Disease (SMART) risk scores (area under the curve: 0.76 vs. 0.54, 0.62, 0.52, and 0.54, respectively; p < 0.001 for all). Patients with CMA >1.56 had a >7-fold increase in fatal or nonfatal myocardial infarction (hazard ratio: 7.1; 95% confidence interval: 2.2 to 25.1; p = 0.003) independent of age, sex, risk factors, segment involvement and coronary calcium scores, presence of coronary stents, coronary stenosis, REACH and SMART scores, the Duke coronary artery disease index, and recent myocardial infarction. CONCLUSIONS In patients with established coronary artery disease, 18F-NaF PET provides powerful independent prediction of fatal or nonfatal myocardial infarction.
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Affiliation(s)
- Jacek Kwiecinski
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California; Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Evangelos Tzolos
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California; British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Philip D Adamson
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Sebastien Cadet
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Alastair J Moss
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Nikhil Joshi
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Michelle C Williams
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Edwin J R van Beek
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Damini Dey
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Daniel S Berman
- Department of Imaging (Division of Nuclear Medicine), 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
| | - Piotr J Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
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20
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Benz DC, Buechel RR. The winding road towards respiratory motion correction: is this just another dead-end or do we finally get breathing under control? J Nucl Cardiol 2020; 27:2231-2233. [PMID: 30843146 DOI: 10.1007/s12350-019-01679-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 02/22/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
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21
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Estimation of optimal number of gates in dual gated 18F-FDG cardiac PET. Sci Rep 2020; 10:19362. [PMID: 33168859 PMCID: PMC7653943 DOI: 10.1038/s41598-020-75613-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 10/06/2020] [Indexed: 11/10/2022] Open
Abstract
Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal-to-noise ratio, while too low number of gates does remove only part of the motion. Here, we introduce a respiratory-cardiac motion model to determine the optimal number of respiratory and cardiac gates. We evaluate the model using a realistic heart phantom and data from 12 cardiac patients (47–77 years, 64.5 on average). To demonstrate the benefits of our model, we compared it with an existing respiratory model. Based on our study, the optimal number of gates was determined to be five respiratory and four cardiac gates in the phantom and patient studies. In the phantom study, the diameter of the most active hot spot was reduced by 24% in the dual gated images compared to non-gated images. In the patient study, the thickness of myocardium wall was reduced on average by 21%. In conclusion, the motion model can be used for estimating the optimal number of respiratory and cardiac gates for dual gating.
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22
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Slart RHJA, Glaudemans AWJM, Gheysens O, Lubberink M, Kero T, Dweck MR, Habib G, Gaemperli O, Saraste A, Gimelli A, Georgoulias P, Verberne HJ, Bucerius J, Rischpler C, Hyafil F, Erba PA. Procedural recommendations of cardiac PET/CT imaging: standardization in inflammatory-, infective-, infiltrative-, and innervation (4Is)-related cardiovascular diseases: a joint collaboration of the EACVI and the EANM. Eur J Nucl Med Mol Imaging 2020; 48:1016-1039. [PMID: 33106926 PMCID: PMC8041672 DOI: 10.1007/s00259-020-05066-5] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 10/05/2020] [Indexed: 01/18/2023]
Abstract
With this document, we provide a standard for PET/(diagnostic) CT imaging procedures in cardiovascular diseases that are inflammatory, infective, infiltrative, or associated with dysfunctional innervation (4Is). This standard should be applied in clinical practice and integrated in clinical (multicenter) trials for optimal procedural standardization. A major focus is put on procedures using [18F]FDG, but 4Is PET radiopharmaceuticals beyond [18F]FDG are also described in this document. Whilst these novel tracers are currently mainly applied in early clinical trials, some multicenter trials are underway and we foresee in the near future their use in clinical care and inclusion in the clinical guidelines. Finally, PET/MR applications in 4Is cardiovascular diseases are also briefly described. Diagnosis and management of 4Is-related cardiovascular diseases are generally complex and often require a multidisciplinary approach by a team of experts. The new standards described herein should be applied when using PET/CT and PET/MR, within a multimodality imaging framework both in clinical practice and in clinical trials for 4Is cardiovascular indications.
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Affiliation(s)
- Riemer H J A Slart
- Medical Imaging Centre, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
- Medical Imaging Centre, Department of Nuclear medicine & Molecular Imaging (EB50), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
- Faculty of Science and Technology Biomedical, Photonic Imaging, University of Twente, Enschede, The Netherlands.
| | - Andor W J M Glaudemans
- Medical Imaging Centre, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Mark Lubberink
- Department of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden
| | - Tanja Kero
- Department of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden
- Medical Imaging Centre, Uppsala University Hospital, Uppsala, Sweden
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Gilbert Habib
- Cardiology Department, APHM, La Timone Hospital, Marseille, France
- Aix Marseille Université, IRD, APHM, MEPHI, IHU-Méditerranée Infection, Marseille, France
| | - Oliver Gaemperli
- HeartClinic, Hirslanden Hospital Zurich, Hirslanden, Switzerland
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Heart Center, Turku University Hospital, Turku, Finland
| | | | - Panagiotis Georgoulias
- Department of Nuclear Medicine, Faculty of Medicine, University of Thessaly, University Hospital of Larissa, Larissa, Greece
| | - Hein J Verberne
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan Bucerius
- Department of Nuclear Medicine, Georg-August University Göttingen, Göttingen, Germany
| | - Christoph Rischpler
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Fabien Hyafil
- Department of Nuclear Medicine, DMU IMAGINA, Georges-Pompidou European Hospital, Assistance Publique - Hôpitaux de Paris, University of Paris, F75015 Paris, France
- PARCC, INSERM, University of Paris, F-75006 Paris, France
| | - Paola A Erba
- Medical Imaging Centre, Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Nuclear Medicine, University of Pisa, Pisa, Italy
- Department of Translational Research and New Technology in Medicine, University of Pisa, Pisa, Italy
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23
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Mayer J, Brown R, Thielemans K, Ovtchinnikov E, Pasca E, Atkinson D, Gillman A, Marsden P, Ippoliti M, Makowski M, Schaeffter T, Kolbitsch C. Flexible numerical simulation framework for dynamic PET-MR data. Phys Med Biol 2020; 65:145003. [PMID: 32692725 DOI: 10.1088/1361-6560/ab7eee] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
This paper presents a simulation framework for dynamic PET-MR. The main focus of this framework is to provide motion-resolved MR and PET data and ground truth motion information. This can be used in the optimisation and quantitative evaluation of image registration and in assessing the error propagation due to inaccuracies in motion estimation in complex motion-compensated reconstruction algorithms. Contrast and tracer kinetics can also be simulated and are available as ground truth information. To closely emulate medical examination, input and output of the simulation are files in standardised open-source raw data formats. This enables the use of existing raw data as a template input and ensures seamless integration of the output into existing reconstruction pipelines. The proposed framework was validated in PET-MR and image registration applications. It was used to simulate a FDG-PET-MR scan with cardiac and respiratory motion. Ground truth motion information could be utilised to optimise parameters for PET and synergistic PET-MR image registration. In addition, a free-breathing dynamic contrast enhancement (DCE) abdominal scan of a patient with hepatic lesions was simulated. In order to correct for breathing motion, a motion-corrected image reconstruction scheme was used and a Toft's model was fit to the DCE data to obtain quantitative DCE-MRI parameters. Utilising the ground truth motion information, the dependency of quantitative DCE-MR images on the accuracy of the motion estimation was evaluated. We demonstrated that respiratory motion had to be available with an average accuracy of at least the spatial resolution of the DCE-MR images in order to ensure an improvement in lesions visualisation and quantification compared to no motion correction. The proposed framework provides a valuable tool with a wide range of scientific PET and MR applications and will be available as part of the open-source project Synergistic Image Reconstruction Framework (SIRF).
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Affiliation(s)
- Johannes Mayer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany. Author to whom any correspondence should be addressed
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24
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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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25
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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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26
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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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Werner RA, Thackeray JT, Diekmann J, Weiberg D, Bauersachs J, Bengel FM. The Changing Face of Nuclear Cardiology: Guiding Cardiovascular Care Toward Molecular Medicine. J Nucl Med 2020; 61:951-961. [PMID: 32303601 DOI: 10.2967/jnumed.119.240440] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 03/25/2020] [Indexed: 01/01/2023] Open
Abstract
Radionuclide imaging of myocardial perfusion, function, and viability has been established for decades and remains a robust, evidence-based and broadly available means for clinical workup and therapeutic guidance in ischemic heart disease. Yet, powerful alternative modalities have emerged for this purpose, and their growth has resulted in increasing competition. But the potential of the tracer principle goes beyond the assessment of physiology and function, toward the interrogation of biology and molecular pathways. This is a unique selling point of radionuclide imaging, which has been underrecognized in cardiovascular medicine until recently. Now, molecular imaging methods for the detection of myocardial infiltration, device infection, and cardiovascular inflammation are successfully gaining clinical acceptance. This is further strengthened by the symbiotic quest of cardiac imaging and therapy for an increasing implementation of molecule-targeted procedures, in which specific therapeutic interventions require specific diagnostic guidance toward the most suitable candidates. This review will summarize the current advent of clinical cardiovascular molecular imaging and highlight its transformative contribution to the evolution of cardiovascular therapy beyond mechanical interventions and broad blockbuster medication, toward a future of novel, individualized molecule-targeted and molecular imaging-guided therapies.
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Affiliation(s)
- Rudolf A Werner
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany; and
| | - James T Thackeray
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany; and
| | - Johanna Diekmann
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany; and
| | - Desiree Weiberg
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany; and
| | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Frank M Bengel
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany; and
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28
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Abdelbaky A, El Fakhri G, Tawakol A. Advances in coronary molecular imaging: Leveraging the power of image processing. J Nucl Cardiol 2020; 27:505-507. [PMID: 30367381 PMCID: PMC6486447 DOI: 10.1007/s12350-018-1454-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 08/09/2018] [Indexed: 10/28/2022]
Abstract
Coronary vascular events are most often caused by rupture of atherosclerotic plaques. Prior to their rupture, such plaques are likely to have at least one of several high-risk structural or biological processes known to associate with increased risk of atherothrombosis. Thus, efforts have long been directed to identify these high risk features non-invasively. While current imaging modalities are adept at measuring high-risk structural features, such as luminal stenosis and vessel wall morphology, they cannot directly report on the important high-risk biological features. On the other hand, molecular imaging techniques, such as positron emission tomography (PET) coupled with sensitive probes provide a unique opportunity to assess atherosclerotic plaque biology, and have the potential to complement structural information and thus, improve risk stratification and enable enhanced monitoring of therapeutic interventions.
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Affiliation(s)
- Amr Abdelbaky
- Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ahmed Tawakol
- Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Nuclear Cardiology, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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29
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Doris MK, Otaki Y, Krishnan SK, Kwiecinski J, Rubeaux M, Alessio A, Pan T, Cadet S, Dey D, Dweck MR, Newby DE, Berman DS, Slomka PJ. Optimization of reconstruction and quantification of motion-corrected coronary PET-CT. J Nucl Cardiol 2020; 27:494-504. [PMID: 29948889 PMCID: PMC6289874 DOI: 10.1007/s12350-018-1317-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 05/21/2018] [Indexed: 12/01/2022]
Abstract
BACKGROUND Coronary PET shows promise in the detection of high-risk atherosclerosis, but there remains a need to optimize imaging and reconstruction techniques. We investigated the impact of reconstruction parameters and cardiac motion-correction in 18F Sodium Fluoride (18F-NaF) PET. METHODS Twenty-two patients underwent 18F-NaF PET within 22 days of an acute coronary syndrome. Optimal reconstruction parameters were determined in a subgroup of six patients. Motion-correction was performed on ECG-gated data of all patients with optimal reconstruction. Tracer uptake was quantified in culprit and reference lesions by computing signal-to-noise ratio (SNR) in diastolic, summed, and motion-corrected images. RESULTS Reconstruction using 24 subsets, 4 iterations, point-spread-function modelling, time of flight, and 5-mm post-filtering provided the highest median SNR (31.5) compared to 4 iterations 0-mm (22.5), 8 iterations 0-mm (21.1), and 8 iterations 5-mm (25.6; all P < .05). Motion-correction improved SNR of culprit lesions (n = 33) (24.5[19.9-31.5]) compared to diastolic (15.7[12.4-18.1]; P < .001) and summed data (22.1[18.9-29.2]; P < .001). Motion-correction increased the SNR difference between culprit and reference lesions (10.9[6.3-12.6]) compared to diastolic (6.2[3.6-10.3]; P = .001) and summed data (7.1 [4.8-11.6]; P = .001). CONCLUSIONS The number of iterations and extent of post-filtering has marked effects on coronary 18F-NaF PET quantification. Cardiac motion-correction improves discrimination between culprit and reference lesions.
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Affiliation(s)
- Mhairi K Doris
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yuka Otaki
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sandeep K Krishnan
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jacek Kwiecinski
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mathieu Rubeaux
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Adam Alessio
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Tinsu Pan
- Department of Imaging Physics, MD Anderson Cancer Center, The University of Texas, Houston, TX, USA
| | - Sebastien Cadet
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK
| | - David E Newby
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK
| | - Daniel S Berman
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Piotr J Slomka
- Department of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Artificial Intelligence in Medicine Program, 8700 Beverly Blvd, Ste A047N, 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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31
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Jenkins WS, Vesey AT, Vickers A, Neale A, Moles C, Connell M, Joshi NV, Lucatelli C, Fletcher AM, Spratt JC, Mirsadraee S, van Beek EJ, Rudd JH, Newby DE, Dweck MR. In vivo alpha-V beta-3 integrin expression in human aortic atherosclerosis. Heart 2019; 105:1868-1875. [PMID: 31422361 PMCID: PMC6929706 DOI: 10.1136/heartjnl-2019-315103] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 07/15/2019] [Accepted: 07/17/2019] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES Intraplaque angiogenesis and inflammation are key promoters of atherosclerosis and are mediated by the alpha-V beta-3 (αvβ3) integrin pathway. We investigated the applicability of the αvβ3-integrin receptor-selective positron emission tomography (PET) radiotracer 18F-fluciclatide in assessing human aortic atherosclerosis. METHODS Vascular 18F-fluciclatide binding was evaluated using ex vivo analysis of carotid endarterectomy samples with autoradiography and immunohistochemistry, and in vivo kinetic modelling following radiotracer administration. Forty-six subjects with a spectrum of atherosclerotic disease categorised as stable (n=27) or unstable (n=19; recent myocardial infarction) underwent PET and CT imaging of the thorax after administration of 229 (IQR 217-237) MBq 18F-fluciclatide. Thoracic aortic 18F-fluciclatide uptake was quantified on fused PET-CT images and corrected for blood-pool activity using the maximum tissue-to-background ratio (TBRmax). Aortic atherosclerotic burden was quantified by CT wall thickness, plaque volume and calcium scoring. RESULTS 18F-Fluciclatide uptake co-localised with regions of increased αvβ3 integrin expression, and markers of inflammation and angiogenesis. 18F-Fluciclatide vascular uptake was confirmed in vivo using kinetic modelling, and on static imaging correlated with measures of aortic atherosclerotic burden: wall thickness (r=0.57, p=0.001), total plaque volume (r=0.56, p=0.001) and aortic CT calcium score (r=0.37, p=0.01). Patients with recent myocardial infarction had greater aortic 18F-fluciclatide uptake than those with stable disease (TBRmax 1.29 vs 1.21, p=0.02). CONCLUSIONS In vivo expression of αvβ3 integrin in human aortic atheroma is associated with plaque burden and is increased in patients with recent myocardial infarction. Quantification of αvβ3 integrin expression with 18F-fluciclatide PET has potential to assess plaque vulnerability and disease activity in atherosclerosis.
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Affiliation(s)
- William S Jenkins
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Alex T Vesey
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Anna Vickers
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Anoushka Neale
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Catriona Moles
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Martin Connell
- Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - Nikhil Vilas Joshi
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | | | - Alison M Fletcher
- Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - James C Spratt
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Saeed Mirsadraee
- Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - Edwin Jr van Beek
- Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - James Hf Rudd
- Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
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32
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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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Sun T, Petibon Y, Han PK, Ma C, Kim SJW, Alpert NM, El Fakhri G, Ouyang J. Body motion detection and correction in cardiac PET: Phantom and human studies. Med Phys 2019; 46:4898-4906. [PMID: 31508827 DOI: 10.1002/mp.13815] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 08/28/2019] [Accepted: 08/28/2019] [Indexed: 12/14/2022] Open
Abstract
PURPOSE Patient body motion during a cardiac positron emission tomography (PET) scan can severely degrade image quality. We propose and evaluate a novel method to detect, estimate, and correct body motion in cardiac PET. METHODS Our method consists of three key components: motion detection, motion estimation, and motion-compensated image reconstruction. For motion detection, we first divide PET list-mode data into 1-s bins and compute the center of mass (COM) of the coincidences' distribution in each bin. We then compute the covariance matrix within a 25-s sliding window over the COM signals inside the window. The sum of the eigenvalues of the covariance matrix is used to separate the list-mode data into "static" (i.e., body motion free) and "moving" (i.e. contaminated by body motion) frames. Each moving frame is further divided into a number of evenly spaced sub-frames (referred to as "sub-moving" frames), in which motion is assumed to be negligible. For motion estimation, we first reconstruct the data in each static and sub-moving frame using a rapid back-projection technique. We then select the longest static frame as the reference frame and estimate elastic motion transformations to the reference frame from all other static and sub-moving frames using nonrigid registration. For motion-compensated image reconstruction, we reconstruct all the list-mode data into a single image volume in the reference frame by incorporating the estimated motion transformations in the PET system matrix. We evaluated the performance of our approach in both phantom and human studies. RESULTS Visually, the motion-corrected (MC) PET images obtained using the proposed method have better quality and fewer motion artifacts than the images reconstructed without motion correction (NMC). Quantitative analysis indicates that MC yields higher myocardium to blood pool concentration ratios. MC also yields sharper myocardium than NMC. CONCLUSIONS The proposed body motion correction method improves image quality of cardiac PET.
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Affiliation(s)
- Tao Sun
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Yoann Petibon
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Paul K Han
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Chao Ma
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Sally J W Kim
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Nathaniel M Alpert
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Jinsong Ouyang
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.,Department of Radiology, Harvard Medical School, Boston, MA, 02115, USA
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Kwiecinski J, Lassen ML, Liang J, Slomka PJ. Selection of abstracts from the scientific sessions of The Society Of Nuclear Medicine and Molecular Imaging annual meeting Anaheim CA. J Nucl Cardiol 2019; 26:1667-1673. [PMID: 31309460 DOI: 10.1007/s12350-019-01816-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 07/01/2019] [Indexed: 10/26/2022]
Abstract
This mini-review highlights cardiovascular studies that were presented during the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2019 annual meeting in Anaheim, California. The aim is to provide the readers insight to noteworthy studies related to the fields of nuclear cardiology presented during the conference. Although cardiovascular applications of positron emission tomography (PET) and single-photon emission computed tomography (SPECT) are not the primary focus of the SNMMI, several scientific teams working in this field presented their latest findings in Anaheim. While this review is directed to the benefit of those who were not able to attend the annual meeting, we believe that a general overview may also be useful for those who did attend as it is often difficult to get exposure to all the high-quality abstracts presented at this large conference.
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Affiliation(s)
- Jacek Kwiecinski
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd. Ste. A047, Los Angeles, CA, 90048, USA
- Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland
| | - Martin Lyngby Lassen
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd. Ste. A047, Los Angeles, CA, 90048, USA
| | - Joanna Liang
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd. Ste. A047, Los Angeles, CA, 90048, USA
| | - Piotr J Slomka
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, 8700 Beverly Blvd. Ste. A047, Los Angeles, CA, 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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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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Abstract
Cardiac PET provides high sensitivity and high negative predictive value in the diagnosis of coronary artery disease and cardiomyopathies. Cardiac, respiratory as well as bulk patient motion have detrimental effects on thoracic PET imaging, in particular on cardiovascular PET imaging where the motion can affect the PET images quantitatively as well as qualitatively. Gating can ameliorate the unfavorable impact of motion additionally enabling evaluation of left ventricular systolic function. In this article, the authors review the recent advances in gating approaches and highlight the advances in data-driven approaches, which hold promise in motion detection without the need for complex hardware setup.
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Affiliation(s)
| | - Jacek Kwiecinski
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA; British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Piotr J Slomka
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA.
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Al-Haddad R, Ismailani US, Rotstein BH. Current and Future Cardiovascular PET Radiopharmaceuticals. PET Clin 2019; 14:293-305. [DOI: 10.1016/j.cpet.2018.12.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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40
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Lee JS, Kovalski G, Sharir T, Lee DS. Advances in imaging instrumentation for nuclear cardiology. J Nucl Cardiol 2019; 26:543-556. [PMID: 28718074 DOI: 10.1007/s12350-017-0979-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Accepted: 06/08/2017] [Indexed: 12/22/2022]
Abstract
Advances in imaging instrumentation and technology have greatly contributed to nuclear cardiology. Dedicated cardiac SPECT cameras incorporating novel, highly efficient detector, collimator, and system designs have emerged with the expansion of nuclear cardiology. Solid-state radiation detectors incorporating cadmium zinc telluride, which directly convert radiation to electrical signals and yield improved energy resolution and spatial resolution and enhanced count sensitivity geometries, are increasingly gaining favor as the detector of choice for application in dedicated cardiac SPECT systems. Additionally, hybrid imaging systems in which SPECT and PET are combined with X-ray CT are currently widely used, with PET/MRI hybrid systems having also been recently introduced. The improved quantitative SPECT/CT has the potential to measure the absolute quantification of myocardial blood flow and flow reserve. Rapid development of silicon photomultipliers leads to enhancement in PET image quality and count rates. In addition, the reduction of emission-transmission mismatch artifacts via application of accurate time-of-flight information, and cardiac motion de-blurring aided by anatomical images, are emerging techniques for further improvement of cardiac PET. This article reviews recent advances such as these in nuclear cardiology imaging instrumentation and technology, and the corresponding diagnostic benefits.
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Affiliation(s)
- Jae Sung Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | | | - Tali Sharir
- Department of Nuclear Cardiology, Assuta Medical Centers, 96 Igal Alon, C Building, 67891, Tel Aviv, Israel.
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
| | - Dong Soo Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, Korea.
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Korea.
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Meester EJ, Krenning BJ, de Swart J, Segbers M, Barrett HE, Bernsen MR, Van der Heiden K, de Jong M. Perspectives on Small Animal Radionuclide Imaging; Considerations and Advances in Atherosclerosis. Front Med (Lausanne) 2019; 6:39. [PMID: 30915335 PMCID: PMC6421263 DOI: 10.3389/fmed.2019.00039] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 02/11/2019] [Indexed: 12/20/2022] Open
Abstract
This review addresses nuclear SPECT and PET imaging in small animals in relation to the atherosclerotic disease process, one of our research topics of interest. Imaging of atherosclerosis in small animal models is challenging, as it operates at the limits of current imaging possibilities regarding sensitivity, and spatial resolution. Several topics are discussed, including technical considerations that apply to image acquisition, reconstruction, and analysis. Moreover, molecules developed for or applied in these small animal nuclear imaging studies are listed, including target-directed molecules, useful for imaging organs or tissues that have elevated expression of the target compared to other tissues, and molecules that serve as substrates for metabolic processes. Differences between animal models and human pathophysiology that should be taken into account during translation from animal to patient as well as differences in tracer behavior in animal vs. man are also described. Finally, we give a future outlook on small animal radionuclide imaging in atherosclerosis, followed by recommendations. The challenges and solutions described might be applicable to other research fields of health and disease as well.
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Affiliation(s)
- Eric J Meester
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Biomedical Engineering, Thorax Center, Erasmus Medical Center, Rotterdam, Netherlands
| | - B J Krenning
- Department of Cardiology, Thorax Center, Erasmus Medical Center, Rotterdam, Netherlands
| | - J de Swart
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands
| | - M Segbers
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands
| | - H E Barrett
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Biomedical Engineering, Thorax Center, Erasmus Medical Center, Rotterdam, Netherlands
| | - M R Bernsen
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands
| | - K Van der Heiden
- Department of Biomedical Engineering, Thorax Center, Erasmus Medical Center, Rotterdam, Netherlands
| | - Marion de Jong
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands
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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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Marchesseau S, Seneviratna A, Sjöholm AT, Qin DL, Ho JXM, Hausenloy DJ, Townsend DW, Richards AM, Totman JJ, Chan MYY. Hybrid PET/CT and PET/MRI imaging of vulnerable coronary plaque and myocardial scar tissue in acute myocardial infarction. J Nucl Cardiol 2018; 25:2001-2011. [PMID: 28500539 DOI: 10.1007/s12350-017-0918-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 04/25/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND Following an acute coronary syndrome, combined CT and PET with 18F-NaF can identify coronary atherosclerotic plaques that have ruptured or eroded. However, the processes behind 18F-NaF uptake in vulnerable plaques remain unclear. METHODS AND RESULTS Ten patients with STEMI were scanned after 18F-NaF injection, for 75 minutes in a Siemens PET/MR scanner using delayed enhancement (LGE). They were then scanned in a Siemens PET/CT scanner for 10 minutes. Tissue-to-background ratio (TBR) was compared between the culprit lesion in the IRA and remote non-culprit lesions in an effort to independently validate prior studies. Additionally, we performed a proof-of-principle study comparing TBR in scar tissue and remote myocardium using LGE images and PET/MR or PET/CT data. From the 33 coronary lesions detected on PET/CT, TBRs for culprit lesions were higher than for non-culprit lesions (TBR = 2.11 ± 0.45 vs 1.46 ± 0.48; P < 0.001). Interestingly, the TBR measured on the PET/CT was higher for infarcted myocardium than for remote myocardium (TBR = 0.81 ± 0.10 vs 0.71 ± 0.05; P = 0.003). These results were confirmed using the PET/MR data (TBR = 0.81 ± 0.10 for scar, TBR = 0.71 ± 0.06 for healthy myocardium, P = 0.03). CONCLUSIONS We confirmed the potential of 18F-NaF PET/CT imaging to detect vulnerable coronary lesions. Moreover, we demonstrated proof-of-principle that 18F-NaF concurrently detects myocardial scar tissue.
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Affiliation(s)
| | - Aruni Seneviratna
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - A Therese Sjöholm
- Clinical Imaging Research Centre, A*STAR-NUS, Singapore, Singapore
- Department of Radiology, Uppsala University, Uppsala, Sweden
| | - Daphne Liang Qin
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Jamie X M Ho
- Clinical Imaging Research Centre, A*STAR-NUS, Singapore, Singapore
| | - Derek J Hausenloy
- The Hatter Cardiovascular Institute, University College London, London, UK
- The National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Cardiovascular and Metabolic Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - David W Townsend
- Clinical Imaging Research Centre, A*STAR-NUS, Singapore, Singapore
| | - A Mark Richards
- Cardiovascular Research Institute, NUHS, Singapore, Singapore
| | - John J Totman
- Clinical Imaging Research Centre, A*STAR-NUS, Singapore, Singapore
| | - Mark Y Y Chan
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
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Lassen ML, Kwiecinski J, Cadet S, Dey D, Wang C, Dweck MR, Berman DS, Germano G, Newby DE, Slomka PJ. Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary 18F-NaF PET Imaging. J Nucl Med 2018; 60:830-836. [PMID: 30442755 DOI: 10.2967/jnumed.118.217877] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 11/06/2018] [Indexed: 11/16/2022] Open
Abstract
Patient motion degrades image quality, affecting the quantitative assessment of PET images. This problem affects studies of coronary lesions in which microcalcification processes are targeted. Coronary PET imaging protocols require scans of up to 30 min, introducing the risk of gross patient motion (GPM) during the acquisition. Here, we investigate the feasibility of an automated data-driven method for the detection of GPM during PET acquisition. Methods: Twenty-eight patients with stable coronary disease underwent a 30-min PET acquisition 1 h after the injection of 18F-sodium fluoride (18F-NaF) at 248 ± 10 MBq (mean ± SD) and then a coronary CT angiography scan. An automated data-driven GPM detection technique tracking the center of mass of the count rates for every 200 ms in the PET list-mode data was devised and evaluated. Two patient motion patterns were considered: sudden repositioning (motion of >0.5 mm within 3 s) and general repositioning (motion of >0.3 mm over 15 s or more). After the reconstruction of diastolic images, individual GPM frames with focal coronary uptake were coregistered in 3 dimensions, creating a GPM-compensated (GPMC) image series. Lesion motion was reported for all lesions with focal uptake. Relative differences in SUVmax and target-to-background ratio (TBR) between GPMC and non-GPMC (standard electrocardiogram-gated data) diastolic PET images were compared in 3 separate groups defined by the maximum motion observed in the lesion (<5, 5-10, and >10 mm). Results: A total of 35 18F-NaF-avid lesions were identified in 28 patients. An average of 3.5 ± 1.5 GPM frames were considered for each patient, resulting in an average frame duration of 7 ± 4 (range, 3-21) min. The mean per-patient motion was: 7 ± 3 mm (maximum, 13.7 mm). GPM correction increased SUVmax and TBR in all lesions with greater than 5 mm of motion. In lesions with 5-10 mm of motion (n = 15), SUVmax and TBR increased by 4.6% ± 5.6% (P = 0.02) and 5.8% ± 6.4% (P < 0.002), respectively. In lesions with greater than 10 mm of motion (n = 15), the SUVmax and TBR increased by 5.0% ± 5.3% (P = 0.009) and 11.5% ± 10.1% (P = 0.001), respectively. GPM correction led to the diagnostic reclassification of 3 patients (11%). Conclusion: GPM during coronary 18F-NaF PET imaging is common and may affect quantitative accuracy. Automated retrospective compensation of this motion is feasible and should be considered for coronary PET imaging.
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Affiliation(s)
| | - Jacek Kwiecinski
- Cedars-Sinai Medical Center, Los Angeles, California; and.,British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Damini Dey
- Cedars-Sinai Medical Center, Los Angeles, California; and
| | - Chengjia Wang
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Guido Germano
- Cedars-Sinai Medical Center, Los Angeles, California; and
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom
| | - Piotr J Slomka
- Cedars-Sinai Medical Center, Los Angeles, California; and
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45
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Bellinge JW, Francis RJ, Majeed K, Watts GF, Schultz CJ. In search of the vulnerable patient or the vulnerable plaque: 18F-sodium fluoride positron emission tomography for cardiovascular risk stratification. J Nucl Cardiol 2018; 25:1774-1783. [PMID: 29992525 DOI: 10.1007/s12350-018-1360-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 06/18/2018] [Indexed: 02/07/2023]
Abstract
Cardiovascular disease (CVD) remains a leading cause of death. Preventative therapies that reduce CVD are most effective when targeted to individuals at high risk. Current risk stratification tools have only modest prognostic capabilities, resulting in over-treatment of low-risk individuals and under-treatment of high-risk individuals. Improved methods of CVD risk stratification are required. Molecular imaging offers a novel approach to CVD risk stratification. In particular, 18F-sodium fluoride (18F-NaF) positron emission tomography (PET) has shown promise in the detection of both high-risk atherosclerotic plaque features and vascular calcification activity, which predicts future development of new vascular calcium deposits. The rate of change of coronary calcium scores, measured by serial computed tomography scans over a 2-year period, is a strong predictor of CVD risk. Vascular calcification activity, as measured with 18F-NaF PET, has the potential to provide prognostic information similar to consecutive coronary calcium scoring, with a single-time-point convenience. However, owing to the rapid motion and small size of the coronary arteries, new solutions are required to address the traditional limitations of PET imaging. Two different methods of coronary PET analysis have been independently proposed and here we compare their respective strengths, weaknesses, and the potential for clinical translation.
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Affiliation(s)
- Jamie W Bellinge
- Department of Cardiology, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia.
- School of Medicine, University of Western Australia, Perth, Australia.
| | - Roslyn J Francis
- School of Medicine, University of Western Australia, Perth, Australia
- Department of Nuclear Medicine, Sir Charles Gairdner Hospital, Perth, Australia
| | - Kamran Majeed
- Department of Cardiology, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia
- School of Medicine, University of Western Australia, Perth, Australia
| | - Gerald F Watts
- Department of Cardiology, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia
- School of Medicine, University of Western Australia, Perth, Australia
| | - Carl J Schultz
- Department of Cardiology, Royal Perth Hospital, 197 Wellington St, Perth, WA, 6000, Australia
- School of Medicine, University of Western Australia, Perth, Australia
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46
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Kwiecinski J, Berman DS, Lee SE, Dey D, Cadet S, Lassen ML, Germano G, Jansen MA, Dweck MR, Newby DE, Chang HJ, Yun M, Slomka PJ. Three-Hour Delayed Imaging Improves Assessment of Coronary 18F-Sodium Fluoride PET. J Nucl Med 2018; 60:530-535. [PMID: 30213848 DOI: 10.2967/jnumed.118.217885] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 09/05/2018] [Indexed: 01/26/2023] Open
Abstract
Coronary 18F-sodium fluoride (18F-NaF) PET identifies ruptured plaques in patients with recent myocardial infarction and localizes to atherosclerotic lesions with active calcification. Most studies to date have performed the PET acquisition 1 h after injection. Although qualitative and semiquantitative analysis is feasible with 1-h images, residual blood-pool activity often makes it difficult to discriminate plaques with 18F-NaF uptake from noise. We aimed to assess whether delayed PET performed 3 h after injection improves image quality and uptake measurements. Methods: Twenty patients (67 ± 7 y old, 55% male) with stable coronary artery disease underwent coronary CT angiography (CTA) and PET/CT both 1 h and 3 h after the injection of 266.2 ± 13.3 MBq of 18F-NaF. We compared the visual pattern of coronary uptake, maximal background (blood pool) activity, noise, SUVmax, corrected SUVmax (cSUVmax), and target-to-background (TBR) ratio in lesions defined by CTA on 1-h versus 3-h 18F-NaF PET. Results: On 1-h PET, 26 CTA lesions with 18F-NaF PET uptake were identified in 12 (60%) patients. On 3-h PET, we detected 18F-NaF PET uptake in 7 lesions that were not identified on 1-h PET. The median cSUVmax and TBRs of these lesions were 0.48 (interquartile range [IQR], 0.44-0.51) and 1.45 (IQR, 1.39-1.52), respectively, compared with -0.01 (IQR, -0.03-0.001) and 0.95 (IQR, 0.90-0.98), respectively, on 1-h PET (both P < 0.001). Across the entire cohort, 3-h PET SUVmax was similar to 1-h PET measurements (1.63 [IQR, 1.37-1.98] vs. 1.55 [IQR, 1.43-1.89], P = 0.30), and the background activity was lower (0.71 [IQR, 0.65-0.81] vs. 1.24 [IQR, 1.05-1.31], P < 0.001). On 3-h PET, TBR, cSUVmax, and noise were significantly higher (respectively: 2.30 [IQR, 1.70-2.68] vs. 1.28 [IQR, 0.98-1.56], P < 0.001; 0.38 [IQR, 0.27-0.70] vs. 0.90 [IQR, 0.64-1.17], P < 0.001; and 0.10 [IQR, 0.09-0.12] vs. 0.07 [IQR, 0.06-0.09], P = 0.02). Median cSUVmax and TBR increased by 92% (range, 33%-225%) and 80% (range, 20%-177%), respectively. Conclusion: Blood-pool activity decreases on delayed imaging, facilitating the assessment of 18F-NaF uptake in coronary plaques. Median TBR increases by 80%, leading to the detection of more plaques with significant uptake than are detected using the standard 1-h protocol. A greater than 1-h delay may improve the detection of 18F-NaF uptake in coronary artery plaques.
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Affiliation(s)
- Jacek Kwiecinski
- Cedars-Sinai Medical Center, Los Angeles, California.,BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom; and
| | | | - Sang-Eun Lee
- Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Damini Dey
- Cedars-Sinai Medical Center, Los Angeles, California
| | | | | | - Guido Germano
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Maurits A Jansen
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom; and
| | - Marc R Dweck
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom; and
| | - David E Newby
- BHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom; and
| | - Hyuk-Jae Chang
- Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Mijin Yun
- Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea
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47
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Derlin T, Sedding DG, Dutzmann J, Haghikia A, König T, Napp LC, Schütze C, Owsianski-Hille N, Wester HJ, Kropf S, Thackeray JT, Bankstahl JP, Geworski L, Ross TL, Bauersachs J, Bengel FM. Imaging of chemokine receptor CXCR4 expression in culprit and nonculprit coronary atherosclerotic plaque using motion-corrected [ 68Ga]pentixafor PET/CT. Eur J Nucl Med Mol Imaging 2018; 45:1934-1944. [PMID: 29967943 PMCID: PMC6132552 DOI: 10.1007/s00259-018-4076-2] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 06/19/2018] [Indexed: 12/23/2022]
Abstract
Purpose The chemokine receptor CXCR4 is a promising target for molecular imaging of CXCR4+ cell types, e.g. inflammatory cells, in cardiovascular diseases. We speculated that a specific CXCR4 ligand, [68Ga]pentixafor, along with novel techniques for motion correction, would facilitate the in vivo characterization of CXCR4 expression in small culprit and nonculprit coronary atherosclerotic lesions after acute myocardial infarction by motion-corrected targeted PET/CT. Methods CXCR4 expression was analysed ex vivo in separately obtained arterial wall specimens. [68Ga]Pentixafor PET/CT was performed in 37 patients after stent-based reperfusion for a first acute ST-segment elevation myocardial infarction. List-mode PET data were reconstructed to five different datasets using cardiac and/or respiratory gating. Guided by CT for localization, the PET signals of culprit and various groups of nonculprit coronary lesions were analysed and compared. Results Ex vivo, CXCR4 was upregulated in atherosclerotic lesions, and mainly colocalized with CD68+ inflammatory cells. In vivo, elevated CXCR4 expression was detected in culprit and nonculprit lesions, and the strongest CXCR4 PET signal (median SUVmax 1.96; interquartile range, IQR, 1.55–2.31) was observed in culprit coronary artery lesions. Stented nonculprit lesions (median SUVmax 1.45, IQR 1.23–1.88; P = 0.048) and hot spots in naive remote coronary segments (median SUVmax 1.34, IQR 1.23–1.74; P = 0.0005) showed significantly lower levels of CXCR4 expression. Dual cardiac/respiratory gating provided the strongest CXCR4 PET signal and the highest lesion detectability. Conclusion We demonstrated the basic feasibility of motion-corrected targeted PET/CT imaging of CXCR4 expression in coronary artery lesions, which was triggered by vessel wall inflammation but also by stent-induced injury. This novel methodology may serve as a platform for future diagnostic and therapeutic clinical studies targeting the biology of coronary atherosclerotic plaque. Electronic supplementary material The online version of this article (10.1007/s00259-018-4076-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Thorsten Derlin
- Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Daniel G Sedding
- Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Jochen Dutzmann
- Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Arash Haghikia
- Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Tobias König
- Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - L Christian Napp
- Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Christian Schütze
- Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Nicole Owsianski-Hille
- Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Hans-Jürgen Wester
- Radiopharmaceutical Chemistry, Technical University of Munich, Munich, Germany
| | | | - James T Thackeray
- Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Jens P Bankstahl
- Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Lilli Geworski
- Department of Radiation Protection and Medical Physics, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Tobias L Ross
- Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Frank M Bengel
- Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
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48
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Moss AJ, Adamson PD, Newby DE, Dweck MR. Positron emission tomography imaging of coronary atherosclerosis. Future Cardiol 2018; 12:483-96. [PMID: 27322032 PMCID: PMC4926532 DOI: 10.2217/fca-2016-0017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Inflammation has a central role in the progression of coronary atherosclerosis. Recent developments in cardiovascular imaging with the advent of hybrid positron emission tomography have provided a window into the molecular pathophysiology underlying coronary plaque inflammation. Using novel radiotracers targeted at specific cellular pathways, the potential exists to observe inflammation, apoptosis, cellular hypoxia, microcalcification and angiogenesis in vivo. Several clinical studies are now underway assessing the ability of this hybrid imaging modality to inform about atherosclerotic disease activity and the prediction of future cardiovascular risk. A better understanding of the molecular mechanisms governing coronary atherosclerosis may be the first step toward offering patients a more stratified, personalized approach to treatment.
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Affiliation(s)
- Alastair J Moss
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Philip D Adamson
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.,Translation Molecular Imaging Institute, Icahn School of Medicine at Mount-Sinai, NY, USA
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49
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Cal-González J, Tsoumpas C, Lassen ML, Rasul S, Koller L, Hacker M, Schäfers K, Beyer T. Impact of motion compensation and partial volume correction for 18F-NaF PET/CT imaging of coronary plaque. Phys Med Biol 2017; 63:015005. [PMID: 29240557 DOI: 10.1088/1361-6560/aa97c8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Recent studies have suggested that 18F-NaF-PET enables visualization and quantification of plaque micro-calcification in the coronary tree. However, PET imaging of plaque calcification in the coronary arteries is challenging because of the respiratory and cardiac motion as well as partial volume effects. The objective of this work is to implement an image reconstruction framework, which incorporates compensation for respiratory as well as cardiac motion (MoCo) and partial volume correction (PVC), for cardiac 18F-NaF PET imaging in PET/CT. We evaluated the effect of MoCo and PVC on the quantification of vulnerable plaques in the coronary arteries. Realistic simulations (Biograph TPTV, Biograph mCT) and phantom acquisitions (Biograph mCT) were used for these evaluations. Different uptake values in the calcified plaques were evaluated in the simulations, while three 'plaque-type' lesions of 36, 31 and 18 mm3 were included in the phantom experiments. After validation, the MoCo and PVC methods were applied in four pilot NaF-PET patient studies. In all cases, the MoCo-based image reconstruction was performed using the STIR software. The PVC was obtained from a local projection (LP) method, previously evaluated in preclinical and clinical PET. The results obtained show a significant increase of the measured lesion-to-background ratios (LBR) in the MoCo + PVC images. These ratios were further enhanced when using directly the tissue-activities from the LP method, making this approach more suitable for the quantitative evaluation of coronary plaques. When using the LP method on the MoCo images, LBR increased between 200% and 1119% in the simulated data, between 212% and 614% in the phantom experiments and between 46% and 373% in the plaques with positive uptake observed in the pilot patients. In conclusion, we have built and validated a STIR framework incorporating MoCo and PVC for 18F-NaF PET imaging of coronary plaques. First results indicate an improved quantification of plaque-type lesions.
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Affiliation(s)
- J Cal-González
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
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50
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Abstract
PURPOSE OF REVIEW Cardiac positron emission tomography (PET) images often contain errors due to cardiac, respiratory, and patient motion during relatively long image acquisition. Advanced motion compensation techniques may improve PET spatial resolution, eliminate potential artifacts, and ultimately improve the research and clinical capabilities of PET. RECENT FINDINGS Combined cardiac and respiratory gating has only recently been implemented in clinical PET systems. Considering that the gated image bins contain much lower counts than the original PET data, they need to be summed after correcting for motion, forming motion-corrected, high-count image volume. Furthermore, automated image registration techniques can be used to correct for motion between CT attenuation scan and PET acquisition. While motion correction methods are not yet widely used in clinical practice, approaches including dual-gated non-rigid motion correction and the incorporation of motion correction information into the reconstruction process have the potential to markedly improve cardiac PET imaging.
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Affiliation(s)
- Mathieu Rubeaux
- Cedars-Sinai Medical Center, 8700 Beverly Blvd Taper A238, Los Angeles, CA, 90048, USA
| | - Mhairi K Doris
- Cedars-Sinai Medical Center, 8700 Beverly Blvd Taper A238, Los Angeles, CA, 90048, USA.,Centre for Cardiovascular Science, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, Scotland, UK
| | - Adam Alessio
- Department of Radiology, University of Washington, Old Fisheries Center, Room 222, 4000 15th Avenue NE, Box 357987, Seattle, WA, 98195-7987, USA
| | - Piotr J Slomka
- Cedars-Sinai Medical Center, 8700 Beverly Blvd Taper A238, Los Angeles, CA, 90048, USA. .,David Geffen School of Medicine, University of California, Los Angeles, CA, USA. .,Cedars-Sinai Medical Center, 8700 Beverly Blvd Ste. A047N, Los Angeles, CA, 90048, USA.
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