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An Z, Tian J, Zhao X, Zhang M, Zhang L, Yang X, Liu L, Chen L, Song X. PET evaluation of myocardial perfusion function after percutaneous coronary intervention in patients with chronic total occlusion: a systematic review and meta-analysis. SCAND CARDIOVASC J 2024; 58:2302174. [PMID: 38317518 DOI: 10.1080/14017431.2024.2302174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/01/2024] [Indexed: 02/07/2024]
Abstract
Objective. The benefit of percutaneous coronary intervention (PCI) in chronic complete coronary artery occlusion (CTO) remains controversial. PCI is currently indicated only for symptom and myocardial ischemia abolition, but large chronically occluded vessels with extensive afferent myocardial territories may benefit most from this procedure. The noninvasive evaluation of myocardial perfusion is critical before and after revascularization, and positron emission tomography (PET) can determine absolute myocardial perfusion. Here, we aimed to explore and compare myocardial perfusion in CTO territories and their remote associated areas before and after PCI. Design. We searched for relevant articles published before November 28, 2022, in the Cochrane Library and PubMed. We calculated 95% confidence intervals (CIs) and standardized mean differences (SMDs) for parameters related to myocardial perfusion in CTO territories and remote areas in CTO patients before and after PCI. Results. We included five studies published between 2017 and 2022, with a total of 592 patients. Stress myocardial blood flow (MBF) was increased in CTO territories after PCI when compared to pre-PCI (mean difference [MD]: 1.70, 95% confidence interval [CI] 1.33-2.08, p < 0.001). Coronary flow reserve (CFR) in CTO regions was also higher after PCI (MD 1.37,95% [CI]1.13-1.61, p < 0.001). Stress MBF in remote regions was also increased after PCI (MD 0.27,95% [CI]0.99 ∼ 0.45, p = 0.004), as was CFR in remote regions (MD 0.32,95% [CI] 0.14-0.5, p = 0.001). Conclusions. According to our pooled analysis of current literature, there was an increase in stress MBF and CFR in both CTOs and remote regions after PCI, suggesting that patients with CTO have widespread recovery of blood perfusion after the procedure. These results provide evidence that patients with CTO arteries and high ischemic burdens would indeed benefit from CTO-PCI. Future research on the correlation of ischemia burden reduction with hard clinical endpoints would contribute to a clearer demarcation of the role of CTO PCI with prognostic potential.
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Affiliation(s)
- Ziyu An
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jinfan Tian
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xin Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Mingduo Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lijun Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xueyao Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Libo Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, P.R. China
| | - Liying Chen
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiantao Song
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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Hasegawa D, Nakamura S, Takafuji M, Sakuma H, Kitagawa K. Test-retest reproducibility of absolute myocardial blood flow obtained using stress dynamic CT myocardial perfusion imaging. IJC HEART & VASCULATURE 2024; 55:101510. [PMID: 39324034 PMCID: PMC11421242 DOI: 10.1016/j.ijcha.2024.101510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 09/06/2024] [Accepted: 09/12/2024] [Indexed: 09/27/2024]
Abstract
Background Coronary artery disease (CAD) and coronary microvascular disease (CMD) are significant contributors to angina pectoris, necessitating reliable diagnostic techniques for effective management. While positron emission tomography has been the non-invasive gold standard for myocardial blood flow (MBF) quantification, stress dynamic CT myocardial perfusion imaging (CTMPI) has emerged as a promising alternative. This study aimed to evaluate the test-retest reproducibility of MBF measurements obtained using dynamic CTMPI. Methods The study retrospectively analyzed MBF values from two dynamic CTMPI examinations conducted in the same patient cohort (n = 30) to examine the consistency of MBF quantification and the ability to visually detect and grade abnormal perfusion suggesting ischemia between the tests. Global and remote MBF were defined as the mean MBF and the maximum MBF of all segments, respectively. Results MBF quantification revealed strong linear correlations between the tests (r = 0.89 for global MBF, r = 0.88 for remote MBF, and r = 0.82 for all segments), and intraclass correlation coefficients reflected high agreement between the tests (0.94 for global MBF, 0.93 for remote MBF, and 0.90 for all segments). Bland-Altman plots indicated a negligible mean difference with acceptable limits of agreements between the tests for global MBF, remote MBF, and all segments. Visual assessment of the CTMPI maps for abnormal perfusion suggesting ischemia yielded a good inter-test agreement with a weighted kappa value of 0.80. Conclusion Dynamic CTMPI can consistently reproduce absolute MBF values and reliably detect myocardial perfusion abnormalities, potentially making it a robust diagnostic tool for evaluating the presence and severity of CAD and CMD.
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Affiliation(s)
| | - Satoshi Nakamura
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan
| | | | - Hajime Sakuma
- Department of Radiology, Mie University Hospital, Tsu, Japan
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan
- Regional Co-creation Deployment Center, Mie Regional Plan Co-creation Organization, Tsu, Japan
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Pelletier-Galarneau M, Cabra A, Szabo E, Angadageri S. Real-world evidence study on the impact of SPECT MPI, PET MPI, cCTA and stress echocardiography on downstream healthcare utilisation in patients with coronary artery disease in the US. BMC Cardiovasc Disord 2024; 24:543. [PMID: 39379835 PMCID: PMC11462745 DOI: 10.1186/s12872-024-04225-y] [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: 05/03/2024] [Accepted: 09/30/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Coronary artery disease (CAD) is associated with a large clinical and economic burden. However, consensus on the optimal approach to CAD diagnosis is lacking. This study sought to compare downstream healthcare resource utilisation following different cardiac imaging modalities, to inform test selection for CAD diagnosis. METHODS Claims and electronic health records data from the Decision Resources Group Real-World Evidence US Data Repository were analysed for 2.5 million US patients who underwent single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI), positron emission tomography myocardial perfusion imaging (PET MPI), coronary computed tomography angiography (cCTA), or stress echocardiography between January 2016 and March 2018. Patients were stratified into nine cohorts based on suspected or existing CAD diagnosis, pre-test risk, and prior events or interventions. Downstream healthcare utilisation, including additional diagnostic imaging, coronary angiography, and cardiac-related health system encounters, was compared by cohort and index imaging modality. RESULTS Among patients with suspected CAD diagnosed within 3 months of the index test, PET MPI was associated with lower downstream utilisation; 25-37% of patients who underwent PET MPI required additional downstream healthcare resources compared with 40-49% of patients who received SPECT MPI, 35-41% of patients who underwent cCTA, and 44-47% of patients who received stress echocardiography. Patients who underwent PET MPI experienced fewer acute cardiac events (5.3-9.4%) and generally had lower rates of healthcare encounters (0.8-4.1%) and invasive coronary angiography (ICA, 15.4-24.2%) than those who underwent other modalities. SPECT MPI was associated with more downstream ICA (31.3-38.2%) and a higher rate of cardiac events (9.5-13.2%) compared with PET MPI (5.3-9.4%) and cCTA (6.9-9.9%). Across all cohorts, additional diagnostic imaging was 1.6 to 4.7 times more frequent with cCTA compared with PET MPI. CONCLUSION Choice of imaging modality for CAD diagnosis impacts downstream healthcare utilisation. PET MPI was associated with lower utilisation across multiple metrics compared with other imaging modalities studied.
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Kong W, Long B, Li F, Shang L, Chen X, Chughtai A. Diagnosing myocardial ischemia of obstructive coronary artery disease using dynamic computed tomography myocardial perfusion imaging: optimization of relative myocardial blood flow ratio. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024:10.1007/s10554-024-03254-0. [PMID: 39367184 DOI: 10.1007/s10554-024-03254-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 09/24/2024] [Indexed: 10/06/2024]
Abstract
PURPOSE To compare the diagnostic efficacy of different relative myocardial blood flow (MBF) ratios in computed tomography perfusion (CTP) for myocardial ischemia in patients with obstructive coronary artery disease (CAD). METHODS Between October 2020 and March 2024, patients with suspected or known obstructive CAD who underwent CTP + coronary computed tomography angiography and invasive coronary angiography/fractional flow reserve were retrospectively selected. Patients and vessels were categorized into ischemia and non-ischemia groups. The diagnostic efficacies of the three relative MBF ratios were compared in patients with obstructive CAD. RESULTS This study included 48 patients (144 vessels). Notably, 34 of the 48 patients (70.83%) and 49 of the 144 vessels (34.03%) were considered to have myocardial ischemia. The area under the curve of Ratio-hi (0.944, 95% confidence interval: 0.893-0.976) was higher than those of Ratio-av, Ratio-Q3, and MBF-lowest; However, no statistical differences were found (P>0.005). The cutoff value for detecting Ratio-hi was 0.667, and the sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were 91.8%, 83.2%, 75%, 95.24%, and 86.81%, respectively. CONCLUSION Relative MBF ratios, especially Ratio-hi, demonstrated excellent performance and exhibited greater robustness in diagnosing myocardial ischemia in patients with obstructive CAD.
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Affiliation(s)
- Weifang Kong
- Department of Radiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
| | - Bingzhu Long
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Fang Li
- Department of Radiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Lan Shang
- Department of Radiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xinyue Chen
- CT collaboration, Siemens Healthineers, Chengdu, China
| | - Aamer Chughtai
- Department of Radiology, Cleveland Clinic, Cleveland, USA.
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Xu X, Divakaran S, Weber BN, Hainer J, Laychak SS, Auer B, Kijewski MF, Blankstein R, Dorbala S, Trinquart L, Slomka PJ, Zhang L, Brown JM, Di Carli MF. Relationship of Subendocardial Perfusion to Myocardial Injury, Cardiac Structure, and Clinical Outcomes Among Patients With Hypertension. Circulation 2024; 150:1075-1086. [PMID: 39166326 DOI: 10.1161/circulationaha.123.067083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 07/29/2024] [Indexed: 08/22/2024]
Abstract
BACKGROUND Coronary microvascular dysfunction has been implicated in the development of hypertensive heart disease and heart failure, with subendocardial ischemia identified as a driver of sustained myocardial injury and fibrosis. We aimed to evaluate the relationships of subendocardial perfusion with cardiac injury, structure, and a composite of major adverse cardiac and cerebrovascular events consisting of death, heart failure hospitalization, myocardial infarction, and stroke. METHODS Layer-specific blood flow and myocardial flow reserve (MFR; stress/rest myocardial blood flow) were assessed by 13N-ammonia perfusion positron emission tomography in consecutive patients with hypertension without flow-limiting coronary artery disease (summed stress score <3) imaged at Brigham and Women's Hospital (Boston, MA) from 2015 to 2021. In this post hoc observational study, biomarkers, echocardiographic parameters, and longitudinal clinical outcomes were compared by tertiles of subendocardial MFR (MFRsubendo). RESULTS Among 358 patients, the mean age was 70.6±12.0 years, and 53.4% were male. The median MFRsubendo was 2.57 (interquartile range, 2.08-3.10), and lower MFRsubendo was associated with older age, diabetes, lower renal function, greater coronary calcium burden, and higher systolic blood pressure (P<0.05 for all). In cross-sectional multivariable regression analyses, the lowest tertile of MFRsubendo was associated with myocardial injury and with greater left ventricular wall thickness and volumes compared with the highest tertile. Relative to the highest tertile, low MFRsubendo was independently associated with an increased rate of major adverse cardiac and cerebrovascular events (adjusted hazard ratio, 2.99 [95% CI, 1.39-6.44]; P=0.005) and heart failure hospitalization (adjusted hazard ratio, 2.76 [95% CI, 1.04-7.32; P=0.042) over 1.1 (interquartile range, 0.6-2.8) years median follow-up. CONCLUSIONS Among patients with hypertension without flow-limiting coronary artery disease, impaired MFRsubendo was associated with cardiovascular risk factors, elevated cardiac biomarkers, cardiac structure, and clinical events.
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Affiliation(s)
- Xiaolei Xu
- Zhejiang University School of Medicine, Hangzhou, China (X.X., L.Z.)
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Cardiology, and Institute for Developmental and Regenerative Cardiovascular Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China (X.X., L.Z.)
| | - Sanjay Divakaran
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine (S. Divakaran, B.N.W., R.B., J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Brittany N Weber
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine (S. Divakaran, B.N.W., R.B., J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jon Hainer
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Shelby S Laychak
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Benjamin Auer
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Marie Foley Kijewski
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ron Blankstein
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine (S. Divakaran, B.N.W., R.B., J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ludovic Trinquart
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (L.T.)
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA (L.T.)
| | - Piotr J Slomka
- Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai, Los Angeles, CA (P.S.)
| | - Li Zhang
- Zhejiang University School of Medicine, Hangzhou, China (X.X., L.Z.)
- Department of Cardiology, and Institute for Developmental and Regenerative Cardiovascular Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China (X.X., L.Z.)
| | - Jenifer M Brown
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine (S. Divakaran, B.N.W., R.B., J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Marcelo F Di Carli
- Cardiovascular Imaging Program, Departments of Medicine and Radiology (X.X., S. Divakaran, B.N.W., J.H., S.S.L., B.A., M.F.K., R.B., S. Dorbala, J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Heart and Vascular Center, Division of Cardiovascular Medicine, Department of Medicine (S. Divakaran, B.N.W., R.B., J.M.B., M.F.D.C.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Vrints C, Andreotti F, Koskinas KC, Rossello X, Adamo M, Ainslie J, Banning AP, Budaj A, Buechel RR, Chiariello GA, Chieffo A, Christodorescu RM, Deaton C, Doenst T, Jones HW, Kunadian V, Mehilli J, Milojevic M, Piek JJ, Pugliese F, Rubboli A, Semb AG, Senior R, Ten Berg JM, Van Belle E, Van Craenenbroeck EM, Vidal-Perez R, Winther S. 2024 ESC Guidelines for the management of chronic coronary syndromes. Eur Heart J 2024; 45:3415-3537. [PMID: 39210710 DOI: 10.1093/eurheartj/ehae177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
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Battisha A, Mann C, Raval R, Anandaram A, Patel B. Clinical Applications and Advancements of Positron Emission Tomography/Computed Tomography in Cardio-Oncology: A Comprehensive Literature Review and Emerging Perspectives. Curr Oncol Rep 2024:10.1007/s11912-024-01598-3. [PMID: 39320577 DOI: 10.1007/s11912-024-01598-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/13/2024] [Indexed: 09/26/2024]
Abstract
PURPOSE OF REVIEW Recent advancements in molecular biology, biotechnology, chemistry/radiochemistry, artificial intelligence, and imaging techniques have significantly propelled the field of cardiovascular molecular imaging. This review aims to provide a comprehensive overview of the current state of cardiovascular positron emission tomography (PET) imaging and cardiac computed tomography (CT), exploring their roles in elucidating molecular and cellular processes, enabling early disease detection, and guiding novel therapeutic interventions for cardiovascular conditions. RECENT FINDINGS Cardiovascular PET imaging strives to uncover molecular and cellular events preceding visible anatomical manifestations or physiological changes. Meanwhile, cardiac CT has evolved into a multifaceted modality, offering insights into both anatomy and function. Utilizing advanced CT technologies allows for a thorough evaluation, encompassing fractional flow reserve, perfusion imaging, pericoronary adipose tissue attenuation, atherosclerotic plaque characterization, cardiomyopathies, structural cardiac abnormalities, and congenital heart anomalies. The emergence of hybrid imaging, combining PET and CT, presents innovative prospects in cardiology. This approach enables the simultaneous assessment of cardiac perfusion and coronary anatomy in a singular scan, providing complementary insights relevant to potential coronary artery disease. Despite the substantial potential impact, operational familiarity with this hybrid tool remains limited, and its integration into routine clinical practice warrants further exploration. In summary, the review underscores the transformative impact of recent technological advancements on cardiovascular molecular imaging. The integration of PET and CT, along with their individual capabilities, holds promise for early disease detection and informed clinical decision-making. While acknowledging the potential of hybrid imaging, it emphasizes the need for increased operational familiarity and continued exploration to facilitate its seamless integration into routine clinical practice. The insights gained from this review contribute to the ongoing dialogue in the field, offering a foundation for future research and advancements in cardiovascular imaging.
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Affiliation(s)
- Ayman Battisha
- University of Massachusetts Medical School - Baystate, Springfield, MA, USA
| | - Chitsimran Mann
- Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Rutu Raval
- Heart and Vascular Institute, West Virginian University, 1 Medical Center Dr, Morgantown, WV, 26505, USA
| | - Asuwin Anandaram
- Heart and Vascular Institute, West Virginian University, 1 Medical Center Dr, Morgantown, WV, 26505, USA
| | - Brijesh Patel
- Heart and Vascular Institute, West Virginian University, 1 Medical Center Dr, Morgantown, WV, 26505, USA
- Department of Cardiovascular Medicine, Indiana University School of Medicine, Indianapolis, USA
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Sigfridsson J, Baron T, Bergsten J, Harms HJ, Nordström J, Kero T, Svanström P, Lindström E, Appel L, Jonasson M, Lubberink M, Flachskampf FA, Sörensen J. Quantitation of mitral regurgitation using positron emission tomography. EJNMMI Res 2024; 14:85. [PMID: 39294533 PMCID: PMC11411051 DOI: 10.1186/s13550-024-01150-1] [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: 06/14/2024] [Accepted: 09/09/2024] [Indexed: 09/20/2024] Open
Abstract
BACKGROUND Cardiac positron emission tomography (PET) offers non-invasive assessment of perfusion and left ventricular (LV) function from a single dynamic scan. However, no prior assessment of mitral regurgitation severity by PET has been presented. Application of indicator dilution techniques and gated image analyses to PET data enables calculation of forward stroke volume and total LV stroke volume. We aimed to evaluate a combination of these methods for measurement of regurgitant volume (RegVol) and fraction (RegF) using dynamic 15O-water and 11C-acetate PET in comparison to cardiovascular magnetic resonance (CMR). RESULTS Twenty-one patients with severe primary mitral valve regurgitation underwent same-day dynamic PET examinations (15O-water and 11C-acetate) and CMR. PET data were reconstructed into dynamic series with short time frames during the first pass, gated 15O-water blood pool images, and gated 11C-acetate myocardial uptake images. PET-based RegVol and RegF correlated strongly with CMR (RegVol: 15O-water r = 0.94, 11C-acetate r = 0.91 and RegF: 15O-water r = 0.88, 11C-acetate r = 0.84, p < 0.001). A systematic underestimation (bias) was found for PET (RegVol: 15O-water - 11 ± 13 mL, p = 0.002, 11C-acetate - 28 ± 16 mL, p < 0.001 and RegF: 15O-water - 4 ± 6%, p = 0.01, 11C-acetate - 10 ± 7%, p < 0.001). PET measurements in patients were compared to healthy volunteers (n = 18). Mean RegVol and RegF was significantly lower in healthy volunteers compared to patients for both tracers. The accuracy of diagnosing moderately elevated regurgitant volume (> 30mL) was 95% for 15O-water and 92% for 11C-acetate. CONCLUSIONS LV regurgitation severity quantified using cardiac PET correlated with CMR and showed high accuracy for discriminating patients from healthy volunteers.
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Affiliation(s)
- Jonathan Sigfridsson
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
| | - Tomasz Baron
- Cardiology and Clinical Physiology, Department of Medical Sciences, Uppsala University, Uppsala University Hospital, Uppsala, Sweden
- Uppsala Clinical Research Centre, Uppsala University, Uppsala, Sweden
| | - Johannes Bergsten
- Cardiology and Clinical Physiology, Department of Medical Sciences, Uppsala University, Uppsala University Hospital, Uppsala, Sweden
| | - Hendrik J Harms
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- MedTrace Pharma A/S, Horsholm, Denmark
| | - Jonny Nordström
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Centre for Research and Development, Uppsala/Gävleborg County, Gävle, Sweden
| | - Tanja Kero
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Patrik Svanström
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Elin Lindström
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Lieuwe Appel
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - My Jonasson
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Mark Lubberink
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Frank A Flachskampf
- Cardiology and Clinical Physiology, Department of Medical Sciences, Uppsala University, Uppsala University Hospital, Uppsala, Sweden
| | - Jens Sörensen
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
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Wilgenhof A, Jukema RA, Driessen RS, Danad I, Raijmakers PG, van Royen N, van Nunen LX, Collet C, de Waard GA, Knaapen P. The effect of hydrostatic pressure on invasive coronary pressure measurements: Comparison with [ 15O]H 2O-positron emission tomography flow data. Catheter Cardiovasc Interv 2024. [PMID: 39258435 DOI: 10.1002/ccd.31215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 08/08/2024] [Accepted: 08/22/2024] [Indexed: 09/12/2024]
Abstract
BACKGROUND Fractional flow reserve (FFR) has emerged as the invasive gold standard for assessing vessel-specific ischemia. However, FFR measurements are influenced by the hydrostatic effect, which might adversely impact the assessment of ischemia. AIMS This study aimed to investigate the impact of hydrostatic pressure on FFR measurements by correcting for the height and comparing FFR with [15O]H2O positron emission tomography (PET)-derived relative flow reserve (RFR). METHODS The 206 patients were included in this analysis. Patients underwent coronary computed tomography angiography (CCTA), [15O]H2O PET, and invasive coronary angiography with routine FFR in every epicardial artery. Height differences between the aortic guiding catheter and distal pressure sensor were quantified on CCTA images. An FFR ≤ 0.80 was considered significant. RESULTS The study found a reclassification in 7% of the coronary arteries. Notably, 11% of left anterior descending (LAD) arteries were reclassified from hemodynamically significant to nonsignificant. Conversely, 6% of left circumflex (Cx) arteries were reclassified from nonsignificant to significant. After correcting for the hydrostatic pressure effect, the correlation between FFR and PET-derived RFR increased significantly from r = 0.720 to r = 0.786 (p = 0.009). The average magnitude of correction was +0.05 FFR units in the LAD, -0.03 in the Cx, and -0.02 in the right coronary artery. CONCLUSION Hydrostatic pressure has a small but clinically relevant influence on FFR measurements obtained with a pressure wire. Correcting for this hydrostatic error significantly enhances the correlation between FFR and PET-derived RFR.
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Affiliation(s)
- Adriaan Wilgenhof
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
- Department of Cardiology, Amsterdam Cardiovascular Sciences Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Clinical and Molecular Medicine, Sapienza University, Rome, Italy
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam Cardiovascular Sciences Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam Cardiovascular Sciences Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Pieter G Raijmakers
- Department of Cardiology, Amsterdam Cardiovascular Sciences Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
- Radiology, Nuclear Medicine & PET Research, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Niels van Royen
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lokien X van Nunen
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carlos Collet
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
| | - Guus A de Waard
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam Cardiovascular Sciences Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
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10
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Slart RHJA, Martinez-Lucio TS, Boersma HH, Borra RH, Cornelissen B, Dierckx RAJO, Dobrolinska M, Doorduin J, Erba PA, Glaudemans AWJM, Giacobbo BL, Luurtsema G, Noordzij W, van Sluis J, Tsoumpas C, Lammertsma AA. [ 15O]H 2O PET: Potential or Essential for Molecular Imaging? Semin Nucl Med 2024; 54:761-773. [PMID: 37640631 DOI: 10.1053/j.semnuclmed.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 08/14/2023] [Accepted: 08/14/2023] [Indexed: 08/31/2023]
Abstract
Imaging water pathways in the human body provides an excellent way of measuring accurately the blood flow directed to different organs. This makes it a powerful diagnostic tool for a wide range of diseases that are related to perfusion and oxygenation. Although water PET has a long history, its true potential has not made it into regular clinical practice. The article highlights the potential of water PET in molecular imaging and suggests its prospective role in becoming an essential tool for the 21st century precision medicine in different domains ranging from preclinical to clinical research and practice. The recent technical advances in high-sensitivity PET imaging can play a key accelerating role in empowering this technique, though there are still several challenges to overcome.
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Affiliation(s)
- Riemer H J A Slart
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands.
| | - T Samara Martinez-Lucio
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Hendrikus H Boersma
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ronald H Borra
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bart Cornelissen
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Magdalena Dobrolinska
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Paola A Erba
- Department of Medicine and Surgery, University of Milan Bicocca, and Nuclear Medicine Unit ASST Ospedale Papa Giovanni XXIII, Bergamo, Italy
| | - Andor W J M Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bruno Lima Giacobbo
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Gert Luurtsema
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Walter Noordzij
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Joyce van Sluis
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Charalampos Tsoumpas
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Adriaan A Lammertsma
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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11
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Kageyama S, Taylor CA, Updegrove A, Garg S, Masuda S, Revaiah PC, Kageyama M, Tsai TY, Miyashita K, Tobe A, Tanaka K, De Mey J, La Meir M, Schneider U, Doenst T, Teichgräber U, Saima M, Pompilio G, Andreini D, Pontone G, Puskas JD, Gupta H, Morel MA, Serruys PW, Onuma Y. Cardiac computed tomography-derived coronary artery volume to myocardial mass in patients with severe coronary artery disease. J Cardiovasc Comput Tomogr 2024; 18:478-488. [PMID: 38944640 DOI: 10.1016/j.jcct.2024.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/27/2024] [Accepted: 06/14/2024] [Indexed: 07/01/2024]
Abstract
BACKGROUND Coronary artery lumen volume (V) to myocardial mass (M) ratio (V/M) can show the mismatch between epicardial coronary arteries and the underlying myocardium. METHODS The V, M and V/M were obtained from the coronary computed tomography angiography (CCTA) of patients in the FAST-TRACK CABG study, the first-in-human trial of coronary artery bypass grafting (CABG) guided solely by CCTA and fractional flow reserve derived from CCTA (FFRCT) in patients with complex coronary artery disease (CAD). The correlations between V/M ratios and baseline characteristics were determined and compared with those from the ADVANCE registry, an unselected cohort of historical controls with chronic CAD. RESULTS The V/M ratio was obtained in 106 of the 114 pre-CABG CCTAs. Mean age was 65.6 years and 87% of them were male. The anatomical SYNTAX score from CCTA was significantly higher than the functional SYNTAX score derived using FFRCT [43.1 (15.2) vs 41.1 (16.5), p < 0.001]. Mean V, M, and V/M were 2204 mm3, 137 g, and 16.5 mm3/g, respectively. There were weak negative correlations between V and anatomical and functional SYNTAX scores (Pearson's r = -0.26 and -0.34). V and V/M had a strong correlation (r = 0.82). The V/M ratio in the current study was significantly lower than that in the ADVANCE registry (median 16.1 vs. 24.8 [1st quartile 20.1]). CONCLUSION Systematically smaller V/M ratios were found in this population with severe CAD requiring CABG compared to an unselected cohort with chronic CAD. The V/M ratio could provide additional non-invasive assessment of CAD especially when combined with FFRCT.
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Affiliation(s)
| | | | | | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, United Kingdom
| | | | | | | | | | | | | | - Kaoru Tanaka
- Department of Radiology, University Hospital Brussels, Belgium
| | - Johan De Mey
- Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Mark La Meir
- Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Ulrich Schneider
- Department of Cardiothoracic Surgery, University Hospital Jena, Germany
| | - Torsten Doenst
- Department of Cardiothoracic Surgery, University Hospital Jena, Germany
| | | | | | - Giulio Pompilio
- Centro Cardiologico Monzino, IRCCS Monzino, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milano, Italy
| | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant'Ambrogio, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Italy
| | - Gianluca Pontone
- Centro Cardiologico Monzino, IRCCS Monzino, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milano, Italy
| | - John D Puskas
- Department of Cardiothoracic Surgery, Emory University Hospital Midtown, USA
| | - Himanshu Gupta
- Department of Radiology, The Valley Hospital, Ridgewood, NJ, USA
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12
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Pacheco MO, Gerzenshtein IK, Stoppel WL, Rinaldi-Ramos CM. Advances in Vascular Diagnostics using Magnetic Particle Imaging (MPI) for Blood Circulation Assessment. Adv Healthc Mater 2024; 13:e2400612. [PMID: 38879782 PMCID: PMC11442126 DOI: 10.1002/adhm.202400612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 05/11/2024] [Indexed: 06/29/2024]
Abstract
Rapid and accurate assessment of conditions characterized by altered blood flow, cardiac blood pooling, or internal bleeding is crucial for diagnosing and treating various clinical conditions. While widely used imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound offer unique diagnostic advantages, they fall short for specific indications due to limited penetration depth and prolonged acquisition times. Magnetic particle imaging (MPI), an emerging tracer-based technique, holds promise for blood circulation assessments, potentially overcoming existing limitations with reduction in background signals and high temporal and spatial resolution, below the millimeter scale. Successful imaging of blood pooling and impaired flow necessitates tracers with diverse circulation half-lives optimized for MPI signal generation. Recent MPI tracers show potential in imaging cardiovascular complications, vascular perforations, ischemia, and stroke. The impressive temporal resolution and penetration depth also position MPI as an excellent modality for real-time vessel perfusion imaging via functional MPI (fMPI). This review summarizes advancements in optimized MPI tracers for imaging blood circulation and analyzes the current state of pre-clinical applications. This work discusses perspectives on standardization required to transition MPI from a research endeavor to clinical implementation and explore additional clinical indications that may benefit from the unique capabilities of MPI.
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Affiliation(s)
| | | | - Whitney L Stoppel
- Chemical Engineering, University of Florida, Gainesville FL
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville FL
| | - Carlos M Rinaldi-Ramos
- Chemical Engineering, University of Florida, Gainesville FL
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville FL
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13
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Narula J, Stuckey TD, Nakazawa G, Ahmadi A, Matsumura M, Petersen K, Mirza S, Ng N, Mullen S, Schaap M, Leipsic J, Rogers C, Taylor CA, Yacoub H, Gupta H, Matsuo H, Rinehart S, Maehara A. Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE study. Eur Heart J Cardiovasc Imaging 2024; 25:1287-1295. [PMID: 38700097 PMCID: PMC11346368 DOI: 10.1093/ehjci/jeae115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 04/05/2024] [Accepted: 04/24/2024] [Indexed: 05/05/2024] Open
Abstract
AIMS Coronary computed tomography angiography provides non-invasive assessment of coronary stenosis severity and flow impairment. Automated artificial intelligence (AI) analysis may assist in precise quantification and characterization of coronary atherosclerosis, enabling patient-specific risk determination and management strategies. This multicentre international study compared an automated deep learning-based method for segmenting coronary atherosclerosis in coronary computed tomography angiography (CCTA) against the reference standard of intravascular ultrasound (IVUS). METHODS AND RESULTS The study included clinically stable patients with known coronary artery disease from 15 centres in the USA and Japan. An AI-enabled plaque analysis was utilized to quantify and characterize total plaque (TPV), vessel, lumen, calcified plaque (CP), non-calcified plaque (NCP), and low-attenuation plaque (LAP) volumes derived from CCTA and compared with IVUS measurements in a blinded, core laboratory-adjudicated fashion. In 237 patients, 432 lesions were assessed; mean lesion length was 24.5 mm, and mean IVUS-TPV was 186.0 mm3. AI-enabled plaque analysis on CCTA showed strong correlation and high accuracy when compared with IVUS; correlation coefficient, slope, and Y intercept for TPV were 0.91, 0.99, and 1.87, respectively; for CP volume 0.91, 1.05, and 5.32, respectively; and for NCP volume 0.87, 0.98, and 15.24, respectively. Bland-Altman analysis demonstrated strong agreement with little bias for these measurements. CONCLUSION AI-enabled CCTA quantification and characterization of atherosclerosis demonstrated strong agreement with IVUS reference standard measurements. This tool may prove effective for accurate evaluation of coronary atherosclerotic burden and cardiovascular risk assessment.
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Affiliation(s)
- Jagat Narula
- Heart & Vascular Institute, McGovern Medical School, 1825 Pressler Street, SRB 205A, Houston, TX 77030, USA
| | - Thomas D Stuckey
- Heart & Vascular, LeBauer-Brodie Center/Cone Health Heart and Vascular, Greensboro, NC, USA
| | - Gaku Nakazawa
- Department of Medicine, Kindai University, Osaka, Japan
| | - Amir Ahmadi
- Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | | | | | | | | | | | | | - Harout Yacoub
- Cardiology, Northwell Health Staten Island University Hospital, New York, NY, USA
| | | | | | - Sarah Rinehart
- Cardiology, Charleston Area Medical Center Memorial Hospital, Charleston, WV, USA
| | - Akiko Maehara
- Cardiovascular Research Foundation, Columbia University, New York, NY, USA
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14
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Schlattmann P, Wieske V, Bressem KK, Götz T, Schuetz GM, Andreini D, Pontone G, Alkadhi H, Hausleiter J, Zimmermann E, Gerber B, Shabestari AA, Meijs MFL, Sato A, Øvrehus KA, Jenkins SMM, Knuuti J, Hamdan A, Halvorsen BA, Mendoza-Rodriguez V, Rixe J, Wan YL, Langer C, Leschka S, Martuscelli E, Ghostine S, Tardif JC, Sánchez AR, Haase R, Dewey M. The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT). Insights Imaging 2024; 15:208. [PMID: 39143443 PMCID: PMC11324632 DOI: 10.1186/s13244-024-01702-y] [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: 06/15/2023] [Accepted: 11/01/2023] [Indexed: 08/16/2024] Open
Abstract
AIM To determine the effectiveness of functional stress testing and computed tomography angiography (CTA) for diagnosis of obstructive coronary artery disease (CAD). METHODS AND RESULTS Two-thousand nine-hundred twenty symptomatic stable chest pain patients were included in the international Collaborative Meta-Analysis of Cardiac CT consortium to compare CTA with exercise electrocardiography (exercise-ECG) and single-photon emission computed tomography (SPECT) for diagnosis of CAD defined as ≥ 50% diameter stenosis by invasive coronary angiography (ICA) as reference standard. Generalised linear mixed models were used for calculating the diagnostic accuracy of each diagnostic test including non-diagnostic results as dependent variables in a logistic regression model with random intercepts and slopes. Covariates were the reference standard ICA, the type of diagnostic method, and their interactions. CTA showed significantly better diagnostic performance (p < 0.0001) with a sensitivity of 94.6% (95% CI 92.7-96) and a specificity of 76.3% (72.2-80) compared to exercise-ECG with 54.9% (47.9-61.7) and 60.9% (53.4-66.3), SPECT with 72.9% (65-79.6) and 44.9% (36.8-53.4), respectively. The positive predictive value of CTA was ≥ 50% in patients with a clinical pretest probability of 10% or more while this was the case for ECG and SPECT at pretest probabilities of ≥ 40 and 28%. CTA reliably excluded obstructive CAD with a post-test probability of below 15% in patients with a pretest probability of up to 74%. CONCLUSION In patients with stable chest pain, CTA is more effective than functional testing for the diagnosis as well as for reliable exclusion of obstructive CAD. CTA should become widely adopted in patients with intermediate pretest probability. SYSTEMATIC REVIEW REGISTRATION PROSPERO Database for Systematic Reviews-CRD42012002780. CRITICAL RELEVANCE STATEMENT In symptomatic stable chest pain patients, coronary CTA is more effective than functional testing for diagnosis and reliable exclusion of obstructive CAD in intermediate pretest probability of CAD. KEY POINTS Coronary computed tomography angiography showed significantly better diagnostic performance (p < 0.0001) for diagnosis of coronary artery disease compared to exercise-ECG and SPECT. The positive predictive value of coronary computed tomography angiography was ≥ 50% in patients with a clinical pretest probability of at least 10%, for ECG ≥ 40%, and for SPECT 28%. Coronary computed tomography angiography reliably excluded obstructive coronary artery disease with a post-test probability of below 15% in patients with a pretest probability of up to 74%.
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Affiliation(s)
- Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences, and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Viktoria Wieske
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Keno K Bressem
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Theresa Götz
- Institute of Medical Statistics, Computer Sciences, and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Georg M Schuetz
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | | | | | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology University Hospital Zurich, Zurich, Switzerland
| | | | - Elke Zimmermann
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Bernhard Gerber
- Department of Cardiology, Clinique Universitaire St Luc, Institut de Recherche Clinique et Expérimentale, Brussels, Belgium
| | - Abbas A Shabestari
- Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Akira Sato
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | | | | | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | - Ashraf Hamdan
- Department of Cardiovascular Imaging, Department of Cardiology, Rabin Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | | | | | - Johannes Rixe
- Department of Cardiology and Electrophysiology, Jung Stilling Hospital Siegen, Siegen, Germany
| | - Yung-Liang Wan
- Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Chang Gung Memorial Hospital at Linkou, Taoyaun City, Taiwan
| | - Christoph Langer
- Kardiologisch-Angiologische Praxis, Herzzentrum Bremen, Bremen, Germany
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Said Ghostine
- Department of Cardiology, Centre Chirurgical Marie Lannelongue, Le Plessis Robinson, France
| | | | | | - Robert Haase
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Marc Dewey
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
- Berlin Institute of Health, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
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15
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Hunter CRRN, Moulton E, Beanlands RSB, deKemp RA. Parametric imaging of myocardial blood flow with 82Rb position emission tomography: An accuracy and image-quality analysis. J Nucl Cardiol 2024:102020. [PMID: 39134238 DOI: 10.1016/j.nuclcard.2024.102020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/07/2024] [Accepted: 07/17/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND We aimed to develop a framework for generating three-dimensional (3D) myocardial blood flow (MBF) images, computing their accuracy against clinically validated two-dimensional (2D) polar MBF maps of the left ventricle, and evaluating their improvements in image quality over relative myocardial perfusion imaging (MPI). METHODS N = 40 patients with a wide range of defect severities and uptake dynamics were retrospectively studied. The FlowQuant™ software was used to generate reference MPI and polar MBF maps and was adapted for voxel-wise MBF mapping. We evaluated agreement between parametric vs polar values for MBF at rest and stress and for reserve (stress/rest MBF). We also assessed improvements in image quality, assessed by signal-to-noise ratio, contrast-to-noise ratio, tissue-to-blood ratio, and defect severity, from relative MPI to MBF. RESULTS There was excellent agreement between 3D parametric and 2D polar maps for all flow parameters (interclass correlation coefficient >0.96), albeit with minimal bias (<8%) for rest and stress MBF at the patient level. Image quality substantially improved from MPI to MBF in every patient for all image-quality metrics (P < 0.0001) CONCLUSIONS: We developed a robust methodology for producing highly accurate 3D MBF images exhibiting considerably improved image quality compared to relative MPI commonly used in clinical practice.
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Affiliation(s)
- Chad R R N Hunter
- University of Ottawa Heart Institute, Cardiac Imaging, Ottawa, ON, Canada
| | - Eric Moulton
- University of Ottawa Heart Institute, Cardiac Imaging, Ottawa, ON, Canada; Jubilant DraxImage, Inc., Kirkland, QC, Canada; University of Ottawa, Electrical Engineering and Computer Science, Ottawa, ON, Canada
| | - Rob S B Beanlands
- University of Ottawa Heart Institute, Cardiac Imaging, Ottawa, ON, Canada
| | - Robert A deKemp
- University of Ottawa Heart Institute, Cardiac Imaging, Ottawa, ON, Canada; University of Ottawa, Electrical Engineering and Computer Science, Ottawa, ON, Canada.
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Trimarchi G, Pizzino F, Paradossi U, Gueli IA, Palazzini M, Gentile P, Di Spigno F, Ammirati E, Garascia A, Tedeschi A, Aschieri D. Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention. J Cardiovasc Dev Dis 2024; 11:245. [PMID: 39195153 DOI: 10.3390/jcdd11080245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 08/02/2024] [Accepted: 08/03/2024] [Indexed: 08/29/2024] Open
Abstract
Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.
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Affiliation(s)
- Giancarlo Trimarchi
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, 98124 Messina, Italy
- Interdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Fausto Pizzino
- Cardiology Unit, Heart Centre, Fondazione Gabriele Monasterio-Regione Toscana, 54100 Massa, Italy
| | - Umberto Paradossi
- Cardiology Unit, Heart Centre, Fondazione Gabriele Monasterio-Regione Toscana, 54100 Massa, Italy
| | - Ignazio Alessio Gueli
- Cardiology Unit, Heart Centre, Fondazione Gabriele Monasterio-Regione Toscana, 54100 Massa, Italy
| | - Matteo Palazzini
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Piero Gentile
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Francesco Di Spigno
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
| | - Enrico Ammirati
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Andrea Garascia
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Andrea Tedeschi
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
| | - Daniela Aschieri
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
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Teuho J, Schultz J, Klén R, Juarez-Orozco LE, Knuuti J, Saraste A, Ono N, Kanaya S. Explainable deep-learning-based ischemia detection using hybrid O-15 H 2O perfusion positron emission tomography and computed tomography imaging with clinical data. J Nucl Cardiol 2024; 38:101889. [PMID: 38852900 DOI: 10.1016/j.nuclcard.2024.101889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/30/2024] [Accepted: 05/25/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND We developed an explainable deep-learning (DL)-based classifier to identify flow-limiting coronary artery disease (CAD) by O-15 H2O perfusion positron emission tomography computed tomography (PET/CT) and coronary CT angiography (CTA) imaging. The classifier uses polar map images with numerical data and visualizes data findings. METHODS A DLmodel was implemented and evaluated on 138 individuals, consisting of a combined image-and data-based classifier considering 35 clinical, CTA, and PET variables. Data from invasive coronary angiography were used as reference. Performance was evaluated with clinical classification using accuracy (ACC), area under the receiver operating characteristic curve (AUC), F1 score (F1S), sensitivity (SEN), specificity (SPE), precision (PRE), net benefit, and Cohen's Kappa. Statistical testing was conducted using McNemar's test. RESULTS The DL model had a median ACC = 0.8478, AUC = 0.8481, F1S = 0.8293, SEN = 0.8500, SPE = 0.8846, and PRE = 0.8500. Improved detection of true-positive and false-negative cases, increased net benefit in thresholds up to 34%, and comparable Cohen's kappa was seen, reaching similar performance to clinical reading. Statistical testing revealed no significant differences between DL model and clinical reading. CONCLUSIONS The combined DL model is a feasible and an effective method in detection of CAD, allowing to highlight important data findings individually in interpretable manner.
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Affiliation(s)
- Jarmo Teuho
- Data Science Center, Nara Institute of Science and Technology, Nara, Japan; Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland.
| | - Jussi Schultz
- Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Riku Klén
- Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Luis Eduardo Juarez-Orozco
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Cardiology, Meader Medical Center, Amersfoort, the Netherlands
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital, Turku, Finland; Heart Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Naoaki Ono
- Data Science Center, Nara Institute of Science and Technology, Nara, Japan; Department of Science and Technology, Nara Institute of Science and Technology, Nara, Japan
| | - Shigehiko Kanaya
- Data Science Center, Nara Institute of Science and Technology, Nara, Japan; Department of Science and Technology, Nara Institute of Science and Technology, Nara, Japan
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Hoshino M, Jukema RA, Pijls N, Hoek R, Raijmakers P, Driessen R, van Diemen P, Twisk J, van der Hoef T, Danad I, Kakuta T, Knaapen P. Microvascular resistance reserve before and after PCI: A serial FFR and [ 15O] H 2O PET study. Atherosclerosis 2024; 395:117555. [PMID: 38702268 DOI: 10.1016/j.atherosclerosis.2024.117555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/03/2024] [Accepted: 04/12/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND AND AIMS Microvascular Resistance Reserve (MRR) has recently been introduced as a microvasculature-specific index and hypothesized to be independent of coronary stenosis. The aim of this study was to investigate the change of MRR after percutaneous coronary intervention (PCI). METHODS In this post-hoc analysis from the PACIFC trials, symptomatic patients underwent [15O]H2O positron emission tomography (PET) and invasive fractional flow reserve (FFR) before and after revascularization. Coronary flow reserve (CFR) from PET and invasive FFR were used to calculate MRR. RESULTS Among 52 patients (87 % male, age 59.4 ± 9.4 years), 61 vessels with a median FFR of 0.71 (95 % confidence interval: 0.55 to 0.74) and a mean MRR of 3.80 ± 1.23 were included. Following PCI, FFR, hyperemic myocardial blood flow (hMBF) and CFR increased significantly (all p-values ≤0.001). MRR remained unchanged after PCI (3.80 ± 1.23 before PCI versus 3.60 ± 0.97 after PCI; p=0.23). In vessels with a pre-PCI, FFR ≤0.70 pre- and post-PCI MRR were 3.90 ± 1.30 and 3.73 ± 1.14 (p=0.56), respectively. Similar findings were observed for vessels with a FFR between 0.71 and 0.80 (pre-PCI MRR 3.70 ± 1.17 vs. post PCI MRR 3.48 ± 0.76, p=0.19). CONCLUSIONS Our study indicates that MRR, assessed using a hybrid approach of PET and invasive FFR, is independent of the severity of epicardial stenosis. These findings suggest that MRR is a microvasculature-specific parameter.
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Affiliation(s)
- Masahiro Hoshino
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Department of Cardiology, Tsuchiura Kyodo General Hospital, Japan
| | - Ruurt A Jukema
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Nico Pijls
- Department of Cardiology, Catharina Hospital, Eindhoven, the Netherlands
| | - Roel Hoek
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Pieter Raijmakers
- Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Roel Driessen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Pepijn van Diemen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands
| | - Jos Twisk
- Epidemiology & Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Tim van der Hoef
- Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Ibrahim Danad
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Tsunekazu Kakuta
- Department of Cardiology, Tsuchiura Kyodo General Hospital, Japan
| | - Paul Knaapen
- Departments of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands.
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P. Karlsberg R, S. Nurmohamed N, G. Quesada C, A. Samuels B, Dohad S, R. Anderson L, Crabtree T, K. Min J, D. Choi A, P. Earls J. Performance of an artificial intelligence-guided quantitative coronary computed tomography algorithm for predicting myocardial ischemia in real-world practice. IJC HEART & VASCULATURE 2024; 53:101433. [PMID: 38868318 PMCID: PMC11167428 DOI: 10.1016/j.ijcha.2024.101433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/07/2024] [Accepted: 05/24/2024] [Indexed: 06/14/2024]
Affiliation(s)
- Ronald P. Karlsberg
- Cardiovascular Research Foundation of Southern California – Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | - Nick S. Nurmohamed
- The George Washington University School of Medicine, Washington, DC, USA
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Carlos G. Quesada
- Cardiovascular Research Foundation of Southern California – Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | - Bruce A. Samuels
- Cardiovascular Research Foundation of Southern California – Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | - Suhail Dohad
- Cardiovascular Research Foundation of Southern California – Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | - Lauren R. Anderson
- Cardiovascular Research Foundation of Southern California – Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA
| | | | | | - Andrew D. Choi
- The George Washington University School of Medicine, Washington, DC, USA
| | - James P. Earls
- The George Washington University School of Medicine, Washington, DC, USA
- Cleerly Inc., Denver, CO, USA
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20
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Nurmohamed NS, Danad I, Jukema RA, de Winter RW, de Groot RJ, Driessen RS, Bom MJ, van Diemen P, Pontone G, Andreini D, Chang HJ, Katz RJ, Stroes ESG, Wang H, Chan C, Crabtree T, Aquino M, Min JK, Earls JP, Bax JJ, Choi AD, Knaapen P, van Rosendael AR. Development and Validation of a Quantitative Coronary CT Angiography Model for Diagnosis of Vessel-Specific Coronary Ischemia. JACC Cardiovasc Imaging 2024; 17:894-906. [PMID: 38483420 DOI: 10.1016/j.jcmg.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/30/2023] [Accepted: 01/11/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Noninvasive stress testing is commonly used for detection of coronary ischemia but possesses variable accuracy and may result in excessive health care costs. OBJECTIVES This study aimed to derive and validate an artificial intelligence-guided quantitative coronary computed tomography angiography (AI-QCT) model for the diagnosis of coronary ischemia that integrates atherosclerosis and vascular morphology measures (AI-QCTISCHEMIA) and to evaluate its prognostic utility for major adverse cardiovascular events (MACE). METHODS A post hoc analysis of the CREDENCE (Computed Tomographic Evaluation of Atherosclerotic Determinants of Myocardial Ischemia) and PACIFIC-1 (Comparison of Coronary Computed Tomography Angiography, Single Photon Emission Computed Tomography [SPECT], Positron Emission Tomography [PET], and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve) studies was performed. In both studies, symptomatic patients with suspected stable coronary artery disease had prospectively undergone coronary computed tomography angiography (CTA), myocardial perfusion imaging (MPI), SPECT, or PET, fractional flow reserve by CT (FFRCT), and invasive coronary angiography in conjunction with invasive FFR measurements. The AI-QCTISCHEMIA model was developed in the derivation cohort of the CREDENCE study, and its diagnostic performance for coronary ischemia (FFR ≤0.80) was evaluated in the CREDENCE validation cohort and PACIFIC-1. Its prognostic value was investigated in PACIFIC-1. RESULTS In CREDENCE validation (n = 305, age 64.4 ± 9.8 years, 210 [69%] male), the diagnostic performance by area under the receiver-operating characteristics curve (AUC) on per-patient level was 0.80 (95% CI: 0.75-0.85) for AI-QCTISCHEMIA, 0.69 (95% CI: 0.63-0.74; P < 0.001) for FFRCT, and 0.65 (95% CI: 0.59-0.71; P < 0.001) for MPI. In PACIFIC-1 (n = 208, age 58.1 ± 8.7 years, 132 [63%] male), the AUCs were 0.85 (95% CI: 0.79-0.91) for AI-QCTISCHEMIA, 0.78 (95% CI: 0.72-0.84; P = 0.037) for FFRCT, 0.89 (95% CI: 0.84-0.93; P = 0.262) for PET, and 0.72 (95% CI: 0.67-0.78; P < 0.001) for SPECT. Adjusted for clinical risk factors and coronary CTA-determined obstructive stenosis, a positive AI-QCTISCHEMIA test was associated with aHR: 7.6 (95% CI: 1.2-47.0; P = 0.030) for MACE. CONCLUSIONS This newly developed coronary CTA-based ischemia model using coronary atherosclerosis and vascular morphology characteristics accurately diagnoses coronary ischemia by invasive FFR and provides robust prognostic utility for MACE beyond presence of stenosis.
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Affiliation(s)
- Nick S Nurmohamed
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA.
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Robin J de Groot
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pepijn van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Daniele Andreini
- Division of University Cardiology, IRCCS Ospedale Galeazzi Sant'Ambrogio, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital and Severance Biomedical Science Institute, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
| | - Richard J Katz
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Hao Wang
- Cleerly Inc, Denver, Colorado, USA
| | | | | | | | | | - James P Earls
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA; Cleerly Inc, Denver, Colorado, USA
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Andrew D Choi
- Division of Cardiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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21
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Dahdal J, Jukema RA, Harms HJ, Cramer MJ, Raijmakers PG, Knaapen P, Danad I. PET myocardial perfusion imaging: Trends, challenges, and opportunities. J Nucl Cardiol 2024:102011. [PMID: 39067504 DOI: 10.1016/j.nuclcard.2024.102011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/25/2024] [Accepted: 07/19/2024] [Indexed: 07/30/2024]
Abstract
Various non-invasive images are used in clinical practice for the diagnosis and prognostication of chronic coronary syndromes. Notably, quantitative myocardial perfusion imaging (MPI) through positron emission tomography (PET) has seen significant technical advancements and a substantial increase in its use over the past two decades. This progress has generated an unprecedented wealth of clinical information, which, when properly applied, can diagnose and fine-tune the management of patients with different types of ischemic syndromes. This state-of-art review focuses on quantitative PET MPI, its integration into clinical practice, and how it holds up at the eyes of modern cardiac imaging and revascularization clinical trials, along with future perspectives.
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Affiliation(s)
- Jorge Dahdal
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Cardiology, Hospital Del Salvador, Santiago, Chile
| | - Ruurt A Jukema
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | - Maarten J Cramer
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pieter G Raijmakers
- Radiology, Nuclear Medicine & PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Paul Knaapen
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ibrahim Danad
- Departments of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands.
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22
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Huck DM, Divakaran S, Weber B, Brown JM, Lopez D, Souza ACDAH, Hainer J, Blankstein R, Dorbala S, Di Carli M. Comparative effectiveness of positron emission tomography and single-photon emission computed tomography myocardial perfusion imaging for predicting risk in patients with cardiometabolic disease. J Nucl Cardiol 2024:101908. [PMID: 38996910 DOI: 10.1016/j.nuclcard.2024.101908] [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: 02/09/2024] [Revised: 06/23/2024] [Accepted: 07/01/2024] [Indexed: 07/14/2024]
Abstract
BACKGROUND The epidemiology of coronary artery disease (CAD) has shifted, with increasing prevalence of cardiometabolic disease and decreasing findings of obstructive CAD on myocardial perfusion imaging (MPI). Coronary microvascular dysfunction (CMD), defined as impaired myocardial flow reserve (MFR) by positron emission tomography (PET), has emerged as a key mediator of risk. We aimed to assess whether PET MFR provides additive value for risk stratification of cardiometabolic disease patients compared with single-photon emission computed tomography (SPECT) MPI. METHODS We retrospectively followed patients referred for PET, exercise SPECT, or pharmacologic SPECT MPI with cardiometabolic disease (obesity, diabetes, or chronic kidney disease) and without known CAD. We compared rates and hazards of composite major adverse cardiovascular events (MACEs) (annualized cardiac mortality or acute myocardial infarction) among propensity-matched PET and SPECT patients using Poisson and Cox regression. Normal SPECT was defined as a total perfusion deficit (TPD) of <5%, reflecting the absence of obstructive CAD. Normal PET was defined as a TPD of <5% plus an MFR of ≥2.0. RESULTS Among 21,544 patients referred from 2006 to 2020, cardiometabolic disease was highly prevalent (PET: 2308 [67%], SPECT: 9984 [55%]) and higher among patients referred to PET (P < 0.001). Obstructive CAD findings (TPD > 5%) were uncommon (PET: 21% and SPECT: 11%). Conversely, impaired MFR on PET (<2.0) was common (62%). In a propensity-matched analysis over a median 6.4-year follow-up, normal PET identified low-risk (0.9%/year MACE) patients, and abnormal PET identified high-risk (4.2%/year MACE) patients with cardiometabolic disease; conversely, those with normal pharmacologic SPECT remained moderate-risk (1.6%/year, P < 0.001 compared to normal PET). CONCLUSIONS Cardiometabolic disease is common among patients referred for MPI and is associated with a heterogenous level of risk. Compared with pharmacologic SPECT, PET with MFR can detect nonobstructive CAD including CMD and can more accurately discriminate low-risk from higher-risk individuals.
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Affiliation(s)
- Daniel M Huck
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sanjay Divakaran
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brittany Weber
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jenifer M Brown
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Diana Lopez
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ana Carolina do A H Souza
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jon Hainer
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ron Blankstein
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marcelo Di Carli
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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23
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Mark PD, Prescott E, Marner L, Hovind P, Krakauer M. [ 15O]H 2O myocardial perfusion positron emission tomography: Added value of relative stress perfusion deficit in the prediction of significant coronary artery stenosis in a mixedpopulation. J Nucl Cardiol 2024; 37:101880. [PMID: 38710439 DOI: 10.1016/j.nuclcard.2024.101880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/16/2024] [Accepted: 04/19/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND It remains unknown whether estimation of the relative stress perfusion deficit offers added value in the prediction of significant coronary artery stenosis in myocardial perfusion imaging with [15O]H2O positron emission tomography (PET) in a population with high prevalence of established cardiac disease. METHODS During eight months, we consecutively included all patients undergoing [15O]H2O PET and subsequent invasive coronary angiography (ICA). Significant stenosis was defined from ICA as fractional flow reserve ≤.8 or coronary artery narrowing of ≥70%. We calculated absolute and relative total perfusion deficits (aTPD and rTPD, respectively) as semiquantitative measures of the extent and severity of reduced stress perfusion. A multivariate logistic regression analysis was performed to test the adjusted associations (odds ratio (OR) with 95% CI) with significant coronary artery stenosis. RESULTS Of 800 patients undergoing [15O]H2O PET, 144 underwent ICA, where 142 patients had aTPD of ≥3% and 79 (55%) of these had at least one significant stenosis. In an adjusted analysis, rTPD (OR10% increase = 2.12 (1.44-3.12), P < .001), previous coronary artery bypass grafting (CABG) (OR = .11 (.03-.36), P < .001) and reduced left ventricular ejection fraction (LVEF) (OR = .25 (.08-.84), P = .02) were independently associated with significant stenosis, whereas the association with aTPD (OR10% increase = 1.14 (.98-1.32), P = .08) was modest. CONCLUSIONS In the presence of an absolute perfusion deficit (aTPD of ≥3%), rTPD may improve the prediction of significant stenosis in a heterogeneous population of patients examined with [15O]H2O PET. Furthermore, previous CABG and reduced LVEF are associated with nonstenotic perfusion deficiencies, suggesting caution when interpreting myocardial perfusion imaging in such patients.
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Affiliation(s)
- Peter D Mark
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg Frederiksberg Hospital, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark.
| | - Eva Prescott
- Department of Cardiology, Copenhagen University Hospital - Bispebjerg Frederiksberg Hospital, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg Frederiksberg Hospital, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Peter Hovind
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg Frederiksberg Hospital, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark
| | - Martin Krakauer
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg Frederiksberg Hospital, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark
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24
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Huck DM, Weber BN, Brown JM, Lopez D, Hainer J, Blankstein R, Dorbala S, Divakaran S, Di Carli MF. Prognostic value of myocardial flow reserve vs corrected myocardial flow reserve in patients without obstructive coronary artery disease. J Nucl Cardiol 2024; 37:101854. [PMID: 38606610 PMCID: PMC11257809 DOI: 10.1016/j.nuclcard.2024.101854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 03/21/2024] [Accepted: 03/23/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Myocardial flow reserve (MFR) by positron emission tomography (PET) is a validated measure of cardiovascular risk. Elevated resting rate pressure product (RPP = heart rate x systolic blood pressure) can cause high resting myocardial blood flow (MBF), resulting in reduced MFR despite normal/near-normal peak stress MBF. When resting MBF is high, it is not known if RPP-corrected MFR (MFRcorrected) helps reclassify CV risk. We aimed to study this question in patients without obstructive coronary artery disease (CAD). METHODS We retrospectively studied patients referred for rest/stress cardiac PET at our center from 2006 to 2020. Patients with abnormal perfusion (summed stress score >3) or prior coronary artery bypass grafting (CABG) were excluded. MFRcorrected was defined as stress MBF/corrected rest MBF where corrected rest MBF = rest MBF x 10,000/RPP. The primary outcome was major cardiovascular events (MACE): cardiovascular death or myocardial infarction. Associations of MFR and MFRcorrected with MACE were assessed using unadjusted and adjusted Cox regression. RESULTS 3276 patients were followed for a median of 7 (IQR 3-12) years. 1685 patients (51%) had MFR <2.0, and of those 366 (22%) had an MFR ≥2.0 after RPP correction. MFR <2.0 was associated with an increased absolute risk of MACE (HR 2.24 [1.79-2.81], P < 0.0001). Among patients with MFR <2.0, the risk of MACE was not statistically different between patients with an MFRcorrected ≥2.0 compared with those with MFRcorrected <2.0 (1.9% vs 2.3% MACE/year, HR 0.84 [0.63-1.13], P = 0.26) even after adjustment for confounders (P = 0.66). CONCLUSIONS In patients without overt obstructive CAD and MFR< 2.0, there was no significant difference in cardiovascular risk between patients with discordant (≥2.0) and concordant (<2) MFR following RPP correction. This suggests that RPP-corrected MFR may not consistently provide accurate risk stratification in patients with normal perfusion and MFR <2.0. Stress MBF and uncorrected MFR should be reported to more reliably convey cardiovascular risk beyond perfusion results.
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Affiliation(s)
- Daniel M Huck
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Brittany N Weber
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. https://twitter.com/@bweber04
| | - Jenifer M Brown
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. https://twitter.com/@JeniferBrown
| | - Diana Lopez
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. https://twitter.com/@BWHCVImaging
| | - Jon Hainer
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ron Blankstein
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. https://twitter.com/@RonBlankstein
| | - Sharmila Dorbala
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sanjay Divakaran
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. https://twitter.com/@SanjayDivakaran
| | - Marcelo F Di Carli
- From the Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. https://twitter.com/@mdicarli
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25
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Aggarwal R, Bhatt DL. Which Test Should I Order for an Inpatient Evaluation of Cardiac Ischemia? NEJM EVIDENCE 2024; 3:EVIDccon2300274. [PMID: 38916416 DOI: 10.1056/evidccon2300274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
AbstractTesting for cardiac ischemia, or for the obstructive coronary artery disease (CAD) that causes cardiac ischemia, is common among hospitalized patients. Many testing options exist. Choosing an appropriate test can be challenging and requires accurate risk stratification. Two major categories of testing are available: stress testing (also known as functional testing) and anatomical testing. Stress testing evaluates specifically for ischemia and can be conducted with or without imaging. Anatomical testing visualizes the obstructive CAD that causes ischemia. This article reviews how to choose an appropriate test for the evaluation of cardiac ischemia in the inpatient setting, using case examples to illustrate the considerations involved.
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Affiliation(s)
- Rahul Aggarwal
- Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston
| | - Deepak L Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York
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26
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Hoek R, van Diemen PA, Raijmakers PG, Driessen RS, Somsen YBO, de Winter RW, Jukema RA, Twisk JWR, Robbers LFHJ, van der Harst P, Saraste A, Lubberink M, Sörensen J, Knaapen P, Knuuti J, Danad I. Determining Hemodynamically Significant Coronary Artery Disease: Patient-Specific Cutoffs in Quantitative Myocardial Blood Flow Using [ 15O]H 2O PET Imaging. J Nucl Med 2024; 65:1113-1121. [PMID: 38724275 DOI: 10.2967/jnumed.123.267195] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/08/2024] [Indexed: 07/03/2024] Open
Abstract
Currently, cutoffs of quantitative [15O]H2O PET to detect fractional flow reserve (FFR)-defined coronary artery disease (CAD) were derived from a single cohort that included patients without prior CAD. However, prior CAD, sex, and age can influence myocardial blood flow (MBF). Therefore, the present study determined the influence of prior CAD, sex, and age on optimal cutoffs of hyperemic MBF (hMBF) and coronary flow reserve (CFR) and evaluated whether cutoff optimization enhanced diagnostic performance of quantitative [15O]H2O PET against an FFR reference standard. Methods: Patients with chronic coronary symptoms underwent [15O]H2O PET and invasive coronary angiography with FFR. Optimal cutoffs for patients with and without prior CAD and subpopulations based on sex and age were determined. Results: This multicenter study included 560 patients. Optimal cutoffs were similar for patients with (n = 186) and without prior CAD (hMBF, 2.3 vs. 2.3 mL·min-1·g-1; CFR, 2.7 vs. 2.6). Females (n = 190) had higher hMBF cutoffs than males (2.8 vs. 2.3 mL·min-1·g-1), whereas CFRs were comparable (2.6 vs. 2.7). However, female sex-specific hMBF cutoff implementation decreased diagnostic accuracy as compared with the cutoff of 2.3 mL·min-1·g-1 (72% vs. 82%, P < 0.001). Patients aged more than 70 y (n = 79) had lower hMBF (1.7 mL·min-1·g-1) and CFR (2.3) cutoffs than did patients aged 50 y or less, 51-60 y, and 61-70 y (hMBF, 2.3-2.4 mL·min-1·g-1; CFR, 2.7). Age-specific cutoffs in patients aged more than 70 y yielded comparable accuracy to the previously established cutoffs (hMBF, 72% vs. 76%, P = 0.664; CFR, 80% vs. 75%, P = 0.289). Conclusion: Patients with and without prior CAD had similar [15O]H2O PET cutoffs for detecting FFR-defined significant CAD. Stratifying patients according to sex and age led to different optimal cutoffs; however, these values did not translate into an increased overall accuracy as compared with previously established thresholds for MBF.
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Affiliation(s)
- Roel Hoek
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yvemarie B O Somsen
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jos W R Twisk
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lourens F H J Robbers
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland; and
| | - Mark Lubberink
- Nuclear Medicine and PET, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Jens Sörensen
- Nuclear Medicine and PET, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
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27
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Bär S, Maaniitty T, Nabeta T, Bax JJ, Earls JP, Min JK, Saraste A, Knuuti J. Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion. J Cardiovasc Comput Tomogr 2024; 18:366-374. [PMID: 38664074 DOI: 10.1016/j.jcct.2024.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 04/11/2024] [Accepted: 04/11/2024] [Indexed: 07/03/2024]
Abstract
BACKGROUND Among patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA), downstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemia. A novel artificial-intelligence-guided quantitative computed tomography ischemia algorithm (AI-QCTischemia) aims to predict ischemia directly from coronary CTA images. We aimed to study the prognostic value of AI-QCTischemia among patients with obstructive CAD on coronary CTA and normal or abnormal downstream PET perfusion. METHODS AI-QCTischemia was calculated by blinded analysts among patients from the retrospective coronary CTA cohort at Turku University Hospital, Finland, with obstructive CAD on initial visual reading (diameter stenosis ≥50%) being referred for downstream 15O-H2O-PET adenosine stress perfusion imaging. All coronary arteries with their side branches were assessed by AI-QCTischemia. Absolute stress myocardial blood flow ≤2.3 ml/g/min in ≥2 adjacent segments was considered abnormal. The primary endpoint was death, myocardial infarction, or unstable angina pectoris. The median follow-up was 6.2 [IQR 4.4-8.3] years. RESULTS 662 of 768 (86%) patients had conclusive AI-QCTischemia result. In patients with normal 15O-H2O-PET perfusion, an abnormal AI-QCTischemia result (n = 147/331) vs. normal AI-QCTischemia result (n = 184/331) was associated with a significantly higher crude and adjusted rates of the primary endpoint (adjusted HR 2.47, 95% CI 1.17-5.21, p = 0.018). This did not pertain to patients with abnormal 15O-H2O-PET perfusion (abnormal AI-QCTischemia result (n = 269/331) vs. normal AI-QCTischemia result (n = 62/331); adjusted HR 1.09, 95% CI 0.58-2.02, p = 0.794) (p-interaction = 0.039). CONCLUSION Among patients with obstructive CAD on coronary CTA referred for downstream 15O-H2O-PET perfusion imaging, AI-QCTischemia showed incremental prognostic value among patients with preserved perfusion by 15O-H2O-PET imaging, but not among those with reduced perfusion.
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Affiliation(s)
- Sarah Bär
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland; Department of Cardiology, Bern University Hospital Inselspital, Bern, Switzerland
| | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland; Department of Clinical Physiology, Nuclear Medicine, and PET, Turku University Hospital, Turku, Finland
| | - Takeru Nabeta
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Antti Saraste
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland; Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland; Department of Clinical Physiology, Nuclear Medicine, and PET, Turku University Hospital, Turku, Finland.
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28
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Maaniitty T, Knuuti J. The additional value of relative assessment of quantitative myocardial blood flow. J Nucl Cardiol 2024; 37:101886. [PMID: 38848929 DOI: 10.1016/j.nuclcard.2024.101886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 05/27/2024] [Indexed: 06/09/2024]
Affiliation(s)
- Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland; Department of Clinical Physiology, Nuclear Medicine and PET, Turku University Hospital, Turku, Finland.
| | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland; Department of Clinical Physiology, Nuclear Medicine and PET, Turku University Hospital, Turku, Finland
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29
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Al-Mallah MH, Nayfeh M, Alrifai M. The role of cardiac PET in diagnosis and prognosis of patients with ischemia with no obstructive coronary arteries (INOCA). AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2024; 43:100399. [PMID: 38828445 PMCID: PMC11141139 DOI: 10.1016/j.ahjo.2024.100399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 06/05/2024]
Abstract
Chest pain, a common symptom in cardiovascular care, often leads to the investigation of obstructive coronary artery disease (CAD). However, many patients experience chest pain without obstructive CAD, termed INOCA (Ischemia with Non-Obstructive Coronary Arteries) or CMD (Coronary Microvascular Dysfunction). INOCA can be attributed to endothelial dysfunction, vascular smooth muscle dysfunction, or both, affecting about 20-30 % of patients with nonobstructive CAD. The diagnostic approach for INOCA includes both invasive and non-invasive methods, with cardiac PET (Positron Emission Tomography) playing a significant role in risk stratification and management. PET evaluates various parameters like myocardial blood flow under stress and rest, myocardial flow reserve, and myocardial ischemia. Such comprehensive assessment is essential in accurately diagnosing and managing INOCA, considering the complexity of this condition.
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Affiliation(s)
| | - Malek Nayfeh
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Mahmoud Alrifai
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
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30
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Toftholm MH, Højstrup S, Talleruphuus U, Marner L, Bjerking L, Jakobsen L, Christiansen EH, Bouchelouche K, Galatius S, Prescott E, Skak-Hansen KW. 82-rubidium positron emission tomography determined myocardial flow reserve and outcomes following cardiac revascularisation - A multicentre registry study. Int J Cardiol 2024; 405:131865. [PMID: 38365013 DOI: 10.1016/j.ijcard.2024.131865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/21/2024] [Accepted: 02/12/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Finding patients with chronic coronary syndromes (CCS) whom revascularization could benefit, is complicated. Myocardial flow reserve (MFR), a measurement of myocardial perfusion, has proven prognostic value on survival and risk of major adverse cardiac events (MACE). We investigated if MFR identifies who may benefit from revascularization. METHODS Among 7462 patients from Danish hospitals examined with 82Rb PET between January 2018 and August 2020, patients with ≥5% reversible perfusion defects were followed for MACE and all-cause mortality. Associations between revascularisation (within 90 days) and outcomes according to MFR (< and ≥ 2) was assessed by Cox regression adjusted by inverse probability weighting for demographics, cardiovascular risk factors, comorbidities, and 82Rb PET variables. RESULTS Of 1806 patients with ≥5% reversible perfusion defect, 893 (49%) had MFR < 2 and 491 underwent revascularisation (36.6% in MFR < 2 versus 17.9% MFR ≥ 2, p < 0.001). During a median follow-up of 37.0 [31.0-45.8 IQR] months, 251 experienced a MACE and 173 died. Revascularisation was associated with lower adjusted risk of all-cause mortality (hazard ratio [HR], 0.51 [95% CI, 0.30-0.88], p = 0.015) and MACE (HR, 0.54 [0.33-0.87], p = 0.012) in patients with MFR < 2 but not MFR ≥ 2 for all-cause mortality (HR 1.33 [0.52-3.40], p = 0.542) and MACE (HR 1.50 [0.79-2.84], p = 0.211). MFR significantly modified the association between revascularisation and MACE, but not all-cause mortality (interaction p-value 0.021 and 0.094, respectively). CONCLUSIONS Revascularization was associated with improved prognosis among patients with impaired MFR. No association was seen in patients with normal MFR. In patients with regional ischemia, MFR may identify patients with a prognostic benefit from revascularization.
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Affiliation(s)
- M H Toftholm
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Cardiology, Denmark.
| | - S Højstrup
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Cardiology, Denmark.
| | - U Talleruphuus
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Clinical Physiology and Nuclear Medicine, Denmark
| | - L Marner
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Clinical Physiology and Nuclear Medicine, Denmark
| | - L Bjerking
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Cardiology, Denmark
| | - L Jakobsen
- Aarhus University Hospital, Department of Cardiology, Denmark
| | | | - K Bouchelouche
- Aarhus University Hospital, Department of Nuclear Medicine & PET Centre, Denmark
| | - S Galatius
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Cardiology, Denmark
| | - E Prescott
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Cardiology, Denmark
| | - K W Skak-Hansen
- Copenhagen University Hospital, Bispebjerg and Frederiksberg, Department of Cardiology, Denmark
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31
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Weis M, Weis M. Transplant Vasculopathy Versus Native Atherosclerosis: Similarities and Differences. Transplantation 2024; 108:1342-1349. [PMID: 37899386 DOI: 10.1097/tp.0000000000004853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Cardiac allograft vasculopathy (CAV) is one of the leading causes of graft failure and death after heart transplantation. Alloimmune-dependent and -independent factors trigger the pathogenesis of CAV through activation of the recipients' (and to a lesser extent donor-derived) immune system. Early diagnosis of CAV is complicated by the lack of clinical symptoms for ischemia in the denervated heart, by the impact of early functional coronary alterations, by the insensitivity of coronary angiography, and by the involvement of small intramyocardial vessels. CAV in general is a panarterial disease confined to the allograft and characterized by diffuse concentric longitudinal intimal hyperplasia in the epicardial coronary arteries and concentric medial disease in the microvasculature. Plaque composition in CAV may include early fibrous and fibrofatty tissue and late atheromatous calcification. In contrast, native coronary atherosclerosis usually develops over decades, is focal, noncircumferential, and typically diminishes proximal parts of the epicardial vessels. The rapid and early development of CAV has an adverse prognostic impact, and current prevention and treatment strategies are of limited efficacy compared with established strategies in native atherosclerosis. Following acute coronary syndromes, patients after heart transplantation were more likely to have accompanying cardiogenic shock and higher mortality compared with acute coronary syndromes patients with native hearts.
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Affiliation(s)
- Michael Weis
- Department of Internal Medicine I, Krankenhaus Neuwittelsbach, Munich, Germany
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32
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Bourque JM, Beller GA. Nuclear Cardiology: The Past, Present, and Future. Circ Cardiovasc Imaging 2024; 17:e016875. [PMID: 38771905 DOI: 10.1161/circimaging.124.016875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/23/2024]
Affiliation(s)
- Jamieson M Bourque
- Division of Cardiovascular Medicine and the Cardiac Imaging Center (J.M.B., G.A.B.), University of Virginia Health System, Charlottesville
- Department of Radiology and Medical Imaging (J.M.B.), University of Virginia Health System, Charlottesville
| | - George A Beller
- Division of Cardiovascular Medicine and the Cardiac Imaging Center (J.M.B., G.A.B.), University of Virginia Health System, Charlottesville
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33
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Bär S, Nabeta T, Maaniitty T, Saraste A, Bax JJ, Earls JP, Min JK, Knuuti J. Prognostic value of a novel artificial intelligence-based coronary computed tomography angiography-derived ischaemia algorithm for patients with suspected coronary artery disease. Eur Heart J Cardiovasc Imaging 2024; 25:657-667. [PMID: 38084894 PMCID: PMC11057943 DOI: 10.1093/ehjci/jead339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 05/01/2024] Open
Abstract
AIMS Coronary computed tomography angiography (CTA) imaging is used to diagnose patients with suspected coronary artery disease (CAD). A novel artificial intelligence-guided quantitative computed tomography ischaemia algorithm (AI-QCTischaemia) aims to identify myocardial ischaemia directly from CTA images and may be helpful to improve risk stratification. The aims were to investigate (i) the prognostic value of AI-QCTischaemia amongst symptomatic patients with suspected CAD entering diagnostic imaging with coronary CTA and (ii) the prognostic value of AI-QCTischaemia separately amongst patients with no/non-obstructive CAD (≤50% visual diameter stenosis) and obstructive CAD (>50% visual diameter stenosis). METHODS AND RESULTS For this cohort study, AI-QCTischaemia was calculated by blinded analysts amongst patients with suspected CAD undergoing coronary CTA. The primary endpoint was the composite of death, myocardial infarction (MI), or unstable angina pectoris (uAP) (median follow-up 6.9 years). A total of 1880/2271 (83%) patients had conclusive AI-QCTischaemia result. Patients with an abnormal AI-QCTischaemia result (n = 509/1880) vs. patients with a normal AI-QCTischaemia result (n = 1371/1880) had significantly higher crude and adjusted rates of the primary endpoint [adjusted hazard ratio (HRadj) 1.96, 95% confidence interval (CI) 1.46-2.63, P < 0.001; covariates: age/sex/hypertension/diabetes/smoking/typical angina]. An abnormal AI-QCTischaemia result was associated with significantly higher crude and adjusted rates of the primary endpoint amongst patients with no/non-obstructive CAD (n = 1373/1847) (HRadj 1.81, 95% CI 1.09-3.00, P = 0.022), but not amongst those with obstructive CAD (n = 474/1847) (HRadj 1.26, 95% CI 0.75-2.12, P = 0.386) (P-interaction = 0.032). CONCLUSION Amongst patients with suspected CAD, an abnormal AI-QCTischaemia result was associated with a two-fold increased adjusted rate of long-term death, MI, or uAP. AI-QCTischaemia may be useful to improve risk stratification, especially amongst patients with no/non-obstructive CAD on coronary CTA.
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Affiliation(s)
- Sarah Bär
- Turku PET Centre, Turku University Hospital, University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland
- Department of Cardiology, Bern University Hospital Inselspital, Bern, Switzerland
| | - Takeru Nabeta
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital, University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland
- Department of Clinical Physiology, Nuclear Medicine, and PET, Turku University Hospital, Hämeentie 11, 20540 Turku, Finland
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital, University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland
- Heart Center, Turku University Hospital, University of Turku, Turku, Finland
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital, University of Turku, Kiinamyllynkatu 4-8, 20520 Turku, Finland
- Department of Clinical Physiology, Nuclear Medicine, and PET, Turku University Hospital, Hämeentie 11, 20540 Turku, Finland
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Ren C, Pan Q, Fu C, Wang P, Zheng Z, Hsu B, Huo L. Phase I, first-in-human study of XTR004, a novel 18F-labeled tracer for myocardial perfusion PET: Biodistribution, radiation dosimetry, pharmacokinetics, and safety after a single injection at rest. J Nucl Cardiol 2024; 34:101823. [PMID: 38360262 DOI: 10.1016/j.nuclcard.2024.101823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/03/2024] [Accepted: 02/06/2024] [Indexed: 02/17/2024]
Abstract
OBJECTIVES This study assessed the imaging characteristics, pharmacokinetics and safety of XTR004, a novel 18F-labeled Positron Emission Tomography (PET) myocardial perfusion imaging tracer, after a single injection at rest in humans. METHODS Eleven healthy subjects (eight men and three women) received intravenous XTR004 (239-290 megabecquerel [MBq]). Safety profiles were monitored on the dosing day and three follow-up visits. Multiple whole-body PET scans were conducted over 4.7 h to evaluate biodistribution and radiation dosimetry. Blood and urine samples collected for 7.25 h were metabolically corrected to characterize pharmacokinetics. RESULTS In the first 0-12 min PET images of ten subjects, liver (26.81 ± 4.01), kidney (11.43 ± 2.49), lung (6.75 ± 1.76), myocardium (4.72 ± 0.67) and spleen (3.1 ± 0.84) exhibited the highest percentage of the injected dose (%ID). Myocardial uptake of XTR004 in the myocardium initially reached 4.72 %ID and 7.06 g/mL, and negligibly changed within an hour (Δ: 7.20%, 5.95%). The metabolically corrected plasma peaked at 2.5 min (0.0013896 %ID/g) and halved at 45.2 min. Whole-body effective dose was 0.0165 millisievert (mSv)/MBq. Cumulative urine excretion was 8.18%. Treatment-related adverse events occurred in seven out of eleven subjects (63.6%), but no severe adverse event was reported. CONCLUSIONS XTR004 demonstrated a favorable safety profile, rapid, high, and stable myocardial uptake and excellent potential for PET myocardial perfusion imaging (MPI). Further exploration of XTR004 PET MPI for detecting myocardial ischemia is warranted.
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Affiliation(s)
- Chao Ren
- Nuclear Medicine Department, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Qingqing Pan
- Nuclear Medicine Department, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Chao Fu
- Nuclear Medicine Department, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Peipei Wang
- Nuclear Medicine Department, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Zhiquan Zheng
- Medical Department, Sinotau Pharmaceutical Group, Beijing, China
| | - Bailing Hsu
- Nuclear Science and Engineering Institute, University of Missouri-Columbia, Columbia, MO, USA.
| | - Li Huo
- Nuclear Medicine Department, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
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35
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Dahdal J, Bakker F, Svanerud J, Danad I, Driessen RS, Raijmakers PG, Harms HJ, Lammertsma AA, van de Hoef TP, Appelman Y, van Royen N, Knaapen P, de Waard GA. Validation of resting full-cycle ratio and diastolic pressure ratio with [ 15O]H 2O positron emission tomography myocardial perfusion. Heart Vessels 2024; 39:299-309. [PMID: 38367040 PMCID: PMC10920410 DOI: 10.1007/s00380-023-02356-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/18/2023] [Indexed: 02/19/2024]
Abstract
Fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) are invasive techniques used to evaluate the hemodynamic significance of coronary artery stenosis. These methods have been validated through perfusion imaging and clinical trials. New invasive pressure ratios that do not require hyperemia have recently emerged, and it is essential to confirm their diagnostic efficacy. The aim of this study was to validate the resting full-cycle ratio (RFR) and the diastolic pressure ratio (dPR), against [15O]H2O positron emission tomography (PET) imaging. A total of 129 symptomatic patients with an intermediate risk of coronary artery disease (CAD) were included. All patients underwent cardiac [15O]H2O PET with quantitative assessment of resting and hyperemic myocardial perfusion. Within a 2 week period, coronary angiography was performed. Intracoronary pressure measurements were obtained in 320 vessels and RFR, dPR, and FFR were computed. PET derived regional hyperemic myocardial blood flow (hMBF) and myocardial perfusion reserve (MPR) served as reference standards. In coronary arteries with stenoses (43%, 136 of 320), the overall diagnostic accuracies of RFR, dPR, and FFR did not differ when PET hyperemic MBF < 2.3 ml min-1 (69.9%, 70.6%, and 77.1%, respectively) and PET MPR < 2.5 (70.6%, 71.3%, and 66.9%, respectively) were considered as the reference for myocardial ischemia. Non-significant differences between the areas under the receiver operating characteristic (ROC) curve were found between the different indices. Furthermore, the integration of FFR with RFR (or dPR) does not enhance the diagnostic information already achieved by FFR in the characterization of ischemia via PET perfusion. In conclusion, the novel non-hyperemic pressure ratios, RFR and dPR, have a diagnostic performance comparable to FFR in assessing regional myocardial ischemia. These findings suggest that RFR and dPR may be considered as an FFR alternative for invasively guiding revascularization treatment in symptomatic patients with CAD.
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Affiliation(s)
- Jorge Dahdal
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Department of Cardiology, Hospital Del Salvador, Salvador 364, 7500922, Santiago, Chile
| | - Frank Bakker
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Johan Svanerud
- Coroventis Research AB, Ulls Väg 29A, 75651, Uppsala, Sweden
| | - Ibrahim Danad
- Utrecht University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Hendrik J Harms
- Clinical Institute, Aarhus University, Palle Juul-Jensens Blvd. 82, 8200, Aarhus, Denmark
| | - Adriaan A Lammertsma
- Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Tim P van de Hoef
- Utrecht University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Yolande Appelman
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Niels van Royen
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Guus A de Waard
- Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
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Massalha S, Kennedy J, Hussein E, Mahida B, Keidar Z. Cardiovascular Imaging in Women. Semin Nucl Med 2024; 54:191-205. [PMID: 38395672 DOI: 10.1053/j.semnuclmed.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 01/28/2024] [Indexed: 02/25/2024]
Abstract
Multimodality cardiovascular imaging is a cornerstone diagnostic tool in the diagnosis, risk stratification, and management of cardiovascular diseases, whether those involving the coronary tree, myocardial, or pericardial diseases in general and particularly in women. This manuscript aims to shed some light and summarize the very features of cardiovascular disease in women, explore their unique characteristics and discuss the role of cardiovascular imaging in ischemic heart disease and cardiomyopathies. The role of four imaging modalities will be discussed including nuclear medicine, echocardiography, noninvasive coronary angiography, and cardiac magnetic resonance.
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Affiliation(s)
- Samia Massalha
- Department of Cardiology, Rambam Health Care Campus, Haifa. Israel; Department of Nuclear Medicine, Rambam Health Care Campus, Haifa. Israel.
| | - John Kennedy
- Department of Cardiology, Rambam Health Care Campus, Haifa. Israel; Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Essam Hussein
- Department of Nuclear Medicine, Rambam Health Care Campus, Haifa. Israel
| | - Besma Mahida
- Nuclear Medicine BICHAT Hospital Assistance Publique Hôpitaux de Paris, Paris. France; LVTS, Inserm U1148, Équipe 4 (Imagerie Cardio-Vasculaire), Paris, France
| | - Zohar Keidar
- Department of Cardiology, Rambam Health Care Campus, Haifa. Israel; Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
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Khoo JK, Sellers S, Fairbairn T, Polsani V, Liu S, Yong G, Shetty S, Corrigan F, Ko B, Vucic E, Fitzgibbons TP, Kakouros N, Blanke P, Sathananthan J, Webb J, Wood D, Leipsic J, Ihdayhid AR. Feasibility and Utility of Anatomical and Physiological Evaluation of Coronary Disease With Cardiac CT in Severe Aortic Stenosis (FUTURE-AS Registry): Rationale and Design. JOURNAL OF THE SOCIETY FOR CARDIOVASCULAR ANGIOGRAPHY & INTERVENTIONS 2024; 3:101293. [PMID: 39131219 PMCID: PMC11308847 DOI: 10.1016/j.jscai.2023.101293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 08/13/2024]
Abstract
Background Coronary artery disease (CAD) in patients with severe aortic stenosis (AS) is common and may be associated with worse outcomes. Computed tomography coronary angiography (CTCA) and fractional flow reserve derived from computed tomography (FFRCT) are tools for comprehensive coronary assessment. The utility and safety of CTCA and FFRCT in the work-up for transcatheter aortic valve replacement (TAVR) is not established, especially in an evolving landscape that involves younger TAVR patients. The FUTURE-AS Registry will assess the utility and safety of cardiac-optimized CTCA and FFRCT to evaluate CAD and guide referral for downstream invasive coronary angiography (ICA) in patients with severe AS being considered for TAVR. Methods FUTURE-AS is an international, prospective, multicenter registry of patients with severe AS referred for TAVR being assessed for CAD with CTCA and FFRCT. The primary end point is the per-patient sensitivity and negative predictive value of CTCA and FFRCT for identifying anatomical and physiologically significant CAD compared to ICA and invasive FFR. The safety end point is the incidence of symptomatic hypotension or bradycardia requiring intervention following the administration of nitroglycerin or β-blocker medications. Feasibility end points include the incidence of noninterpretable CTCA scans and CTCA scans not adequate for FFR analysis. Other utility end points include specificity, positive predictive value, and accuracy of CTCA and FFRCT. Lastly, the potential of a CTCA and FFRCT guided strategy to defer pre-TAVR ICA will be assessed. Conclusions FUTURE-AS will characterize the utility, safety, and feasibility of CTCA and FFRCT for coronary assessment pre-TAVR.
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Affiliation(s)
- John King Khoo
- Department of Radiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
| | - Stephanie Sellers
- Department of Radiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
| | - Timothy Fairbairn
- Department of Cardiology, Liverpool Centre for Cardiovascular Science, Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | | | - Shizhen Liu
- Piedmont Heart Institute, Piedmont Healthcare, Atlanta, Georgia
| | - Gerald Yong
- Department of Cardiology, Fiona Stanley Hospital, Perth, Australia
| | - Sharad Shetty
- Department of Cardiology, Fiona Stanley Hospital, Perth, Australia
| | - Frank Corrigan
- Wellstar Center for Cardiovascular Care, Wellstar Health System, Marietta, Georgia
| | - Brian Ko
- Victorian Heart Hospital, Melbourne, Australia
| | | | | | | | - Philipp Blanke
- Department of Radiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
| | - Janarthanan Sathananthan
- Department of Cardiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
| | - John Webb
- Department of Cardiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
| | - David Wood
- Department of Cardiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
| | - Jonathon Leipsic
- Department of Radiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
- Department of Cardiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
| | - Abdul Rahman Ihdayhid
- Department of Radiology, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada
- Harry Perkins Institute of Medical Research, Curtin Medical School, Curtin University, Perth, Australia
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Feher A, Pieszko K, Shanbhag A, Lemley M, Bednarski B, Miller RJH, Huang C, Miras L, Liu YH, Sinusas AJ, Slomka PJ, Miller EJ. CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients. Eur J Nucl Med Mol Imaging 2024; 51:695-706. [PMID: 37924340 DOI: 10.1007/s00259-023-06484-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 10/21/2023] [Indexed: 11/06/2023]
Abstract
PURPOSE This study aimed to compare the predictive value of CT attenuation-corrected stress total perfusion deficit (AC-sTPD) and non-corrected stress TPD (NC-sTPD) for major adverse cardiac events (MACE) in obese patients undergoing cadmium zinc telluride (CZT) SPECT myocardial perfusion imaging (MPI). METHODS The study included 4,585 patients who underwent CZT SPECT/CT MPI for clinical indications (chest pain: 56%, shortness of breath: 13%, other: 32%) at Yale New Haven Hospital (age: 64 ± 12 years, 45% female, body mass index [BMI]: 30.0 ± 6.3 kg/m2, prior coronary artery disease: 18%). The association between AC-sTPD or NC-sTPD and MACE defined as the composite end point of mortality, nonfatal myocardial infarction or late coronary revascularization (> 90 days after SPECT) was evaluated with survival analysis. RESULTS During a median follow-up of 25 months, 453 patients (10%) experienced MACE. In patients with BMI ≥ 35 kg/m2 (n = 931), those with AC-sTPD ≥ 3% had worse MACE-free survival than those with AC-sTPD < 3% (HR: 2.23, 95% CI: 1.40 - 3.55, p = 0.002) with no difference in MACE-free survival between patients with NC-sTPD ≥ 3% and NC-sTPD < 3% (HR:1.06, 95% CI:0.67 - 1.68, p = 0.78). AC-sTPD had higher AUC than NC-sTPD for the detection of 2-year MACE in patients with BMI ≥ 35 kg/m2 (0.631 versus 0.541, p = 0.01). In the overall cohort AC-sTPD had a higher ROC area under the curve (AUC, 0.641) than NC-sTPD (0.608; P = 0.01) for detection of 2-year MACE. In patients with BMI ≥ 35 kg/m2 AC sTPD provided significant incremental prognostic value beyond NC sTPD (net reclassification index: 0.14 [95% CI: 0.20 - 0.28]). CONCLUSIONS AC sTPD outperformed NC sTPD in predicting MACE in patients undergoing SPECT MPI with BMI ≥ 35 kg/m2. These findings highlight the superior prognostic value of AC-sTPD in this patient population and underscore the importance of CT attenuation correction.
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Affiliation(s)
- Attila Feher
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA.
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
| | - Konrad Pieszko
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Aakash Shanbhag
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Lemley
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bryan Bednarski
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robert J H Miller
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
| | - Cathleen Huang
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Leonidas Miras
- Division of Cardiology, Bridgeport Hospital, Yale University School of Medicine, Bridgeport, CT, USA
| | - Yi-Hwa Liu
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Piotr J Slomka
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, Dana 3, P.O. Box 208017, New Haven, CT, 06520, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
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Han Y, Ahmed AI, Saad JM, Alahdab F, Al Rifai MS, Murthy VL, Al-Mallah MH. Ejection fraction and ventricular volumes on rubidium positron emission tomography: Validation against cardiovascular magnetic resonance. J Nucl Cardiol 2024; 32:101810. [PMID: 38286326 DOI: 10.1016/j.nuclcard.2024.101810] [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: 03/29/2023] [Accepted: 08/09/2023] [Indexed: 01/31/2024]
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) is the non-invasive gold standard for non-invasively determining left ventricular volumes (LVVs) and ejection fraction (EF). We aimed to assess the accuracy of LVV and left ventricular ejection fraction measured by positron emission tomography (PET) as compared to CMR. METHODS Patients who underwent both PET and CMR within 1 year were identified from prospective institutional registries. Analysis was performed to evaluate the agreement between the raw and body-surface-area-normalized left ventricular volume (LVV) and EF derived from PET vs. those derived from CMR. RESULTS The study population consisted of 669 patients (mean age 62 ± 13 years, 65% male). The median (interquartile range [IQR]) duration between CMR and PET imaging was 36 (7-118) days. The median (IQR) EF values were 52% (38-63%) on CMR and 53% (37-65%) on PET (mean difference: 0.53% ± 9.1, P = 0.129) with a strong correlation (Spearman rho = 0.84, P < 0.001; Intraclass Correlation Coefficient 0.84, 95% confidence interval [CI]: 0.82-0.86, P < 0.001; Lin's concordance correlation coefficient was 0.844, 95% CI: 0.822 to 0.865). Results were similar with LVV, normalized LVV/EF, and in subgroups of patients with reduced EF, coronary artery disease scar, and LV hypertrophy as well as in patients with defibrillators. However, PET tended to underestimate LVV compared to CMR. CONCLUSION Our analysis showed a strong correlation of EF and LVV by PET against a reference standard of CMR, whereas PET significantly underestimated LVV, but not EF, compared to CMR.
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Affiliation(s)
- Yushui Han
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | | | - Jean Michel Saad
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Fares Alahdab
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | | | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
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Souza ACDAH, Rosenthal MH, Moura FA, Divakaran S, Osborne MT, Hainer J, Dorbala S, Blankstein R, Di Carli MF, Taqueti VR. Body Composition, Coronary Microvascular Dysfunction, and Future Risk of Cardiovascular Events Including Heart Failure. JACC Cardiovasc Imaging 2024; 17:179-191. [PMID: 37768241 PMCID: PMC10922555 DOI: 10.1016/j.jcmg.2023.07.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/24/2023] [Accepted: 07/24/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Body mass index (BMI) is a controversial marker of cardiovascular prognosis, especially in women. Coronary microvascular dysfunction (CMD) is prevalent in obese patients and a better discriminator of risk than BMI, but its association with body composition is unknown. OBJECTIVES The authors used a deep learning model for body composition analysis to investigate the relationship between CMD, skeletal muscle (SM), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT), and their contribution to adverse outcomes in patients referred for evaluation of coronary artery disease. METHODS Consecutive patients (n = 400) with normal perfusion and preserved left ventricular ejection fraction on cardiac stress positron emission tomography were followed (median, 6.0 years) for major adverse events, including death and hospitalization for myocardial infarction or heart failure. Coronary flow reserve (CFR) was quantified as stress/rest myocardial blood flow from positron emission tomography. SM, SAT, and VAT cross-sectional areas were extracted from abdominal computed tomography at the third lumbar vertebra using a validated automated algorithm. RESULTS Median age was 63, 71% were female, 50% non-White, and 50% obese. Compared with the nonobese, patients with obesity (BMI: 30.0-68.4 kg/m2) had higher SAT, VAT, and SM, and lower CFR (all P < 0.001). In adjusted analyses, decreased SM but not increased SAT or VAT was significantly associated with CMD (CFR <2; OR: 1.38; 95% CI: 1.08-1.75 per -10 cm2/m2 SM index; P < 0.01). Both lower CFR and SM, but not higher SAT or VAT, were independently associated with adverse events (HR: 1.83; 95% CI: 1.25-2.68 per -1 U CFR and HR: 1.53; 95% CI: 1.20-1.96 per -10 cm2/m2 SM index, respectively; P < 0.002 for both), especially heart failure hospitalization (HR: 2.36; 95% CI: 1.31-4.24 per -1 U CFR and HR: 1.87; 95% CI: 1.30-2.69 per -10 cm2/m2 SM index; P < 0.004 for both). There was a significant interaction between CFR and SM (adjusted P = 0.026), such that patients with CMD and sarcopenia demonstrated the highest rate of adverse events, especially among young, female, and obese patients (all P < 0.005). CONCLUSIONS In a predominantly female cohort of patients without flow-limiting coronary artery disease, deficient muscularity, not excess adiposity, was independently associated with CMD and future adverse outcomes, especially heart failure. In patients with suspected ischemia and no obstructive coronary artery disease, characterization of lean body mass and coronary microvascular function may help to distinguish obese phenotypes at risk for cardiovascular events.
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Affiliation(s)
- Ana Carolina do A H Souza
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Michael H Rosenthal
- Department of Imaging, Dana-Farber Cancer Institute, and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Filipe A Moura
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sanjay Divakaran
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Michael T Osborne
- Cardiovascular Imaging Research Center and Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jon Hainer
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sharmila Dorbala
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ron Blankstein
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Marcelo F Di Carli
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Viviany R Taqueti
- Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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Hoff CM, Sørensen J, Kero T, Bouchelouche K, Harms HJ, Frøkiær J, Gormsen LC, Tolbod LP. Quantitative and qualitative comparison of Rubidium-82 and Oxygen-15 water cardiac PET. J Nucl Cardiol 2024; 32:101796. [PMID: 38278706 DOI: 10.1016/j.nuclcard.2024.101796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Abstract
BACKGROUND Differences in tracer characteristics may influence the interpretation of positron emission tomography myocardial perfusion imaging (MPI). We compare the reading of MPIs with a low-extraction retention tracer (82Rb) and a high-extraction non-retention tracer (15O-water) in a selected cohort of patients with known coronary artery disease (CAD). METHODS Thirty-nine patients with known CAD referred to 82Rb MPI due to angina underwent rest and stress imaging with both tracers and experienced MPI readers provided blinded consensus reads of all studies. In addition, a comparison of regional and global quantitative measures of perfusion was performed. RESULTS The results showed 74 % agreement in the reading of 82Rb and 15O-water MPI for regional reversible ischemia and global disease, and 82 % agreement for regional irreversible ischemia. The 15O-water MPI identified more cases of global disease (n = 12 (15O-water) vs n = 4 (82Rb), p = 0.03), whereas differences in reversible ischemia (n = 22 vs n = 16, p = 0.11) and, irreversible ischemia (n = 8 vs n = 11, p = 0.45) were not significant. The correlation between myocardial blood flow measured using the two tracers was similar to previous studies (R2 = 0.78) with wide limits of agreement (-0.93 to 0.84 ml/g/min). CONCLUSIONS Agreement between consensus readings of 82Rb and 15O-water MPI was good in patients with known CAD. In this limited size study, no significant differences in the identification of reversible and irreversible ischemia found, whereas 15O-water MPI had a higher positive rate for suspected global disease.
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Affiliation(s)
- Camilla Molich Hoff
- Department of Nuclear Medicine & PET, Aarhus University Hospital, Aarhus, Denmark
| | - Jens Sørensen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Nuclear Medicine & PET, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Tanja Kero
- Nuclear Medicine & PET, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Kirsten Bouchelouche
- Department of Nuclear Medicine & PET, Aarhus University Hospital, Aarhus, Denmark
| | | | - Jørgen Frøkiær
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lars C Gormsen
- Department of Nuclear Medicine & PET, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lars P Tolbod
- Department of Nuclear Medicine & PET, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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42
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de Winter RW, van Diemen PA, Schumacher SP, Jukema RA, Somsen YBO, Hoek R, van Rossum AC, Twisk JWR, de Waard GA, Nap A, Raijmakers PG, Driessen RS, Knaapen P, Danad I. Hemodynamic Insights into Combined Fractional Flow Reserve and Instantaneous Wave-Free Ratio Assessment Through Quantitative [ 15O]H 2O PET Myocardial Perfusion Imaging. J Nucl Med 2024; 65:279-286. [PMID: 38176722 DOI: 10.2967/jnumed.123.265973] [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: 05/03/2023] [Revised: 11/01/2023] [Indexed: 01/06/2024] Open
Abstract
In patients evaluated for obstructive coronary artery disease (CAD), guidelines recommend using either fractional flow reserve (FFR) or instantaneous wave-free ratio (iFR) to guide coronary revascularization decision-making. The hemodynamic significance of lesions with discordant FFR and iFR measurements is debated. This study compared [15O]H2O PET-derived absolute myocardial perfusion between vessels with concordant and discordant FFR and iFR measurements. Methods: We included 197 patients suspected of obstructive CAD who had undergone [15O]H2O PET perfusion imaging and combined FFR/iFR interrogation in 468 vessels. Resting myocardial blood flow (MBF), hyperemic MBF, and coronary flow reserve (CFR) were compared among 4 groups: FFR low/iFR low (n = 79), FFR high/iFR low (n = 22), FFR low/iFR high (n = 22), and FFR high/iFR high (n = 345). Predefined [15O]H2O PET thresholds for ischemia were 2.3 mL·min-1·g-1 or less for hyperemic MBF and 2.5 or less for CFR. Results: Hyperemic MBF was lower in the concordant low (2.09 ± 0.67 mL·min-1·g-1), FFR high/iFR low (2.41 ± 0.80 mL·min-1·g-1), and FFR low/iFR high (2.40 ± 0.69 mL·min-1·g-1) groups compared with the concordant high group (2.91 ± 0.84 mL·min-1·g-1) (P < 0.001, P = 0.004, and P < 0.001, respectively). A lower CFR was observed in the concordant low (2.37 ± 0.76) and FFR high/iFR low (2.64 ± 0.84) groups compared with the concordant high group (3.35 ± 1.07, P < 0.01 for both). However, for vessels with either low FFR or low iFR, quantitative hyperemic MBF and CFR values exceeded the ischemic threshold in 38% and 49%, respectively. In addition, resting MBF exhibited a negative correlation with iFR (P < 0.001) and was associated with FFR low/iFR high discordance compared with concordant low FFR/low iFR measurements, independent of clinical and angiographic characteristics, as well as hyperemic MBF (odds ratio [OR], 0.41; 95% CI, 0.26-0.65; P < 0.001). Conclusion: We found reduced myocardial perfusion in vessels with concordant low and discordant FFR/iFR measurements. However, FFR/iFR combinations often inaccurately classified vessels as either ischemic or nonischemic when compared with hyperemic MBF and CFR. Furthermore, a lower resting MBF was associated with a higher iFR and the occurrence of FFR low/iFR high discordance. Our study showed that although combined FFR/iFR assessment can be useful to estimate the hemodynamic significance of coronary lesions, these pressure-derived indices provide a limited approximation of [15O]H2O PET-derived quantitative myocardial perfusion as the physiologic standard of CAD severity.
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Affiliation(s)
- Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yvemarie B O Somsen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Roel Hoek
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jos W R Twisk
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; and
| | - Guus A de Waard
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Alexander Nap
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology, Nuclear Medicine, and PET Research, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Lehtonen E, Kujala I, Tamminen J, Maaniitty T, Saraste A, Teuho J, Knuuti J, Klén R. Incremental prognostic value of downstream positron emission tomography perfusion imaging after coronary computed tomography angiography: a study using machine learning. Eur Heart J Cardiovasc Imaging 2024; 25:285-292. [PMID: 37774503 PMCID: PMC10824480 DOI: 10.1093/ehjci/jead246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/07/2023] [Accepted: 09/22/2023] [Indexed: 10/01/2023] Open
Abstract
AIMS To evaluate the incremental value of positron emission tomography (PET) myocardial perfusion imaging (MPI) over coronary computed tomography angiography (CCTA) in predicting short- and long-term outcome using machine learning (ML) approaches. METHODS AND RESULTS A total of 2411 patients with clinically suspected coronary artery disease (CAD) underwent CCTA, out of whom 891 patients were admitted to downstream PET MPI for haemodynamic evaluation of obstructive coronary stenosis. Two sets of Extreme Gradient Boosting (XGBoost) ML models were trained, one with all the clinical and imaging variables (including PET) and the other with only clinical and CCTA-based variables. Difference in the performance of the two sets was analysed by means of area under the receiver operating characteristic curve (AUC). After the removal of incomplete data entries, 2284 patients remained for further analysis. During the 8-year follow-up, 210 adverse events occurred including 59 myocardial infarctions, 35 unstable angina pectoris, and 116 deaths. The PET MPI data improved the outcome prediction over CCTA during the first 4 years of the observation time and the highest AUC was at the observation time of Year 1 (0.82, 95% confidence interval 0.804-0.827). After that, there was no significant incremental prognostic value by PET MPI. CONCLUSION PET MPI variables improve the prediction of adverse events beyond CCTA imaging alone for the first 4 years of follow-up. This illustrates the complementary nature of anatomic and functional information in predicting the outcome of patients with suspected CAD.
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Affiliation(s)
- Eero Lehtonen
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Iida Kujala
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Jonne Tamminen
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- Department of Clinical Physiology, Nuclear Medicine and PET, Turku University Hospital, Turku, Finland
| | - Antti Saraste
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Jarmo Teuho
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
- Department of Clinical Physiology, Nuclear Medicine and PET, Turku University Hospital, Turku, Finland
| | - Riku Klén
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
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Gould KL, Johnson NP, Roby AE, Bui L, Kitkungvan D, Patel MB, Nguyen T, Kirkeeide R, Haynie M, Arain SA, Charitakis K, Dhoble A, Smalling R, Nascimbene A, Jumean M, Kumar S, Kar B, Sdringola S, Estrera A, Gregoric I, Lai D, Li R, McPherson D, Narula J. Coronary flow capacity and survival prediction after revascularization: physiological basis and clinical implications. Eur Heart J 2024; 45:181-194. [PMID: 37634192 PMCID: PMC10787661 DOI: 10.1093/eurheartj/ehad579] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/20/2023] [Accepted: 08/21/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND AND AIMS Coronary flow capacity (CFC) is associated with an observed 10-year survival probability for individual patients before and after actual revascularization for comparison to virtual hypothetical ideal complete revascularization. METHODS Stress myocardial perfusion (mL/min/g) and coronary flow reserve (CFR) per pixel were quantified in 6979 coronary artery disease (CAD) subjects using Rb-82 positron emission tomography (PET) for CFC maps of artery-specific size-severity abnormalities expressed as percent left ventricle with prospective follow-up to define survival probability per-decade as fraction of 1.0. RESULTS Severely reduced CFC in 6979 subjects predicted low survival probability that improved by 42% after revascularization compared with no revascularization for comparable severity (P = .0015). For 283 pre-and-post-procedure PET pairs, severely reduced regional CFC-associated survival probability improved heterogeneously after revascularization (P < .001), more so after bypass surgery than percutaneous coronary interventions (P < .001) but normalized in only 5.7%; non-severe baseline CFC or survival probability did not improve compared with severe CFC (P = .00001). Observed CFC-associated survival probability after actual revascularization was lower than virtual ideal hypothetical complete post-revascularization survival probability due to residual CAD or failed revascularization (P < .001) unrelated to gender or microvascular dysfunction. Severely reduced CFC in 2552 post-revascularization subjects associated with low survival probability also improved after repeat revascularization compared with no repeat procedures (P = .025). CONCLUSIONS Severely reduced CFC and associated observed survival probability improved after first and repeat revascularization compared with no revascularization for comparable CFC severity. Non-severe CFC showed no benefit. Discordance between observed actual and virtual hypothetical post-revascularization survival probability revealed residual CAD or failed revascularization.
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Affiliation(s)
- K Lance Gould
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Nils P Johnson
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Amanda E Roby
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Linh Bui
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Danai Kitkungvan
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Monica B Patel
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Tung Nguyen
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Richard Kirkeeide
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Mary Haynie
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Salman A Arain
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Konstantinos Charitakis
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Abhijeet Dhoble
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Richard Smalling
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Angelo Nascimbene
- Department of Advanced Cardiopulmonary Therapies and Transplantation, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, Houston, TX, USA
| | - Marwan Jumean
- Department of Advanced Cardiopulmonary Therapies and Transplantation, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, Houston, TX, USA
| | - Sachin Kumar
- Department of Advanced Cardiopulmonary Therapies and Transplantation, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, Houston, TX, USA
| | - Biswajit Kar
- Department of Advanced Cardiopulmonary Therapies and Transplantation, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, Houston, TX, USA
| | - Stefano Sdringola
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Anthony Estrera
- Department of Cardiothoracic Vascular Surgery, McGovern Medical School, University of Texas Health Science Center, Memorial Hermann Hospital, Houston, TX, USA
| | - Igor Gregoric
- Department of Advanced Cardiopulmonary Therapies and Transplantation, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, Houston, TX, USA
| | - Dejian Lai
- Department of Biostatistics and Data Science, University of Texas School of Public Health-Houston, Houston, TX, USA
| | - Ruosha Li
- Department of Biostatistics and Data Science, University of Texas School of Public Health-Houston, Houston, TX, USA
| | - David McPherson
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
| | - Jagat Narula
- Department of Medicine, Division of Cardiology, Weatherhead P.E.T. Center, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256, Houston, TX 77030, USA
- Department of Medicine, Division of Cardiology, McGovern Medical School, University of Texas Health Science Center, and Memorial Hermann Hospital, 6431 Fannin St, Rm 4.256 MSB, Houston, TX 77005, USA
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Huck DM, Weber B, Schreiber B, Pandav J, Parks S, Hainer J, Brown JM, Divakaran S, Blankstein R, Dorbala S, Trinquart L, Chandraker A, Di Carli MF. Comparative Effectiveness of PET and SPECT MPI for Predicting Cardiovascular Events After Kidney Transplant. Circ Cardiovasc Imaging 2024; 17:e015858. [PMID: 38227694 PMCID: PMC10794031 DOI: 10.1161/circimaging.123.015858] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/08/2023] [Indexed: 01/18/2024]
Abstract
BACKGROUND Advanced chronic kidney disease is associated with high cardiovascular risk, even after kidney transplant. Pretransplant cardiac testing may identify patients who require additional assessment before transplant or would benefit from risk optimization. The objective of the current study was to determine the relative prognostic utility of pretransplant positron emission tomography (PET) and single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) for posttransplant major adverse cardiovascular events (MACEs). METHODS We retrospectively followed patients who underwent MPI before kidney transplant for the occurrence of MACE after transplant including myocardial infarction, stroke, heart failure, and cardiac death. An abnormal MPI result was defined as a total perfusion deficit >5% of the myocardium. To determine associations of MPI results with MACE, we utilized Cox hazard regression with propensity weighting for PET versus SPECT with model factors, including demographics and cardiovascular risk factors. RESULTS A total of 393 patients underwent MPI (208 PET and 185 SPECT) and were followed for a median of 5.9 years post-transplant. Most were male (58%), median age was 58 years, and there was a high burden of hypertension (88%) and diabetes (33%). A minority had abnormal MPI (n=58, 15%). In propensity-weighted hazard regression, abnormal PET result was associated with posttransplant MACE (hazard ratio, 3.02 [95% CI, 1.78-5.11]; P<0.001), while there was insufficient evidence of an association of abnormal SPECT result with MACE (1.39 [95% CI, 0.72-2.66]; P=0.33). The explained relative risk of the PET result was higher than the SPECT result (R2 0.086 versus 0.007). Normal PET was associated with the lowest risk of MACE (2.2%/year versus 3.6%/year for normal SPECT; P<0.001). CONCLUSIONS Kidney transplant recipients are at high cardiovascular risk, despite a minority having obstructive coronary artery disease on MPI. PET MPI findings predict posttransplant MACE. Normal PET may better discriminate lower risk patients compared with normal SPECT, which should be confirmed in a larger prospective study.
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Affiliation(s)
- Daniel M Huck
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Division (D.M.H., B.W., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Brittany Weber
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Division (D.M.H., B.W., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Brittany Schreiber
- Division of Nephrology (B.S., J.P., A.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jay Pandav
- Division of Nephrology (B.S., J.P., A.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sean Parks
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Nuclear Medicine and Molecular Imaging (S.P., J.H., S. Divakaran, S. Dorbala, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jon Hainer
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Nuclear Medicine and Molecular Imaging (S.P., J.H., S. Divakaran, S. Dorbala, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jenifer M Brown
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Division (D.M.H., B.W., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sanjay Divakaran
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Division (D.M.H., B.W., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Nuclear Medicine and Molecular Imaging (S.P., J.H., S. Divakaran, S. Dorbala, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ron Blankstein
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Division (D.M.H., B.W., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sharmila Dorbala
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Division (D.M.H., B.W., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Nuclear Medicine and Molecular Imaging (S.P., J.H., S. Divakaran, S. Dorbala, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ludovic Trinquart
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (L.T.)
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA (L.T.)
| | - Anil Chandraker
- Division of Nephrology (B.S., J.P., A.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Marcelo F Di Carli
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Division (D.M.H., B.W., J.M.B., S. Divakaran, R.B., S. Dorbala, M.F.D.C.), Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- CV Imaging Program (D.M.H., B.W., S.P., J.H., J.M.B., S. Divakaran, R.B., S. Dorbalat, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Nuclear Medicine and Molecular Imaging (S.P., J.H., S. Divakaran, S. Dorbala, M.F.D.C.), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Di Carli MF, Gormsen LC, Chareonthaitawee P, Johnson GB, Beanlands R, DeKemp R, Schindler T, Gropler R, Kulkarni H, McNeely P, Soman P, Oz O, Zaha V, Sorensen J, Harms H, Orlandi C, Vandenbroucke E, Udelson J. Rationale and design of the RAPID-WATER-FLOW trial: Radiolabeled perfusion to identify coronary artery disease using water to evaluate responses of myocardial FLOW. J Nucl Cardiol 2024; 31:101779. [PMID: 38215598 DOI: 10.1016/j.nuclcard.2023.101779] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2024]
Abstract
OBJECTIVES The objective of this study was to determine the diagnostic performance of 15O-water positron emission tomography (PET) myocardial perfusion imaging to detect coronary artery disease (CAD) using the truth-standard of invasive coronary angiography (ICA) with fractional flow reserve (FFR) or instantaneous wave-Free Ratio (iFR) or coronary computed tomography angiogram (CCTA). BACKGROUND 15O-water has a very high first-pass extraction that allows accurate quantification of myocardial blood flow and detection of flow-limiting CAD. However, the need for an on-site cyclotron and lack of automated production at the point of care and relatively complex image analysis protocol has limited its clinical use to date. METHODS The RAPID WATER FLOW study is an open-label, multicenter, prospective investigation of the accuracy of 15O-water PET to detect obstructive angiographic and physiologically significant stenosis in patients with suspected CAD. The study will include the use of an automated system for producing, dosing, and injecting 15O-water and enrolling approximately 215 individuals with suspected CAD at approximately 10 study sites in North America and Europe. The primary endpoint of the study is the diagnostic sensitivity and specificity of the 15O-water PET study using the truth-standard of ICA with FFR or iFR to determine flow-limiting stenosis, or CCTA to rule out CAD and incorporating a quantitative analytic platform developed for the 15O-water PET acquisitions. Sensitivity and specificity are to be considered positive if the lower bound of the 95% confidence interval is superior to the threshold of 60% for both, consistent with prior registration studies. Subgroup analyses include assessments of diagnostic sensitivity, specificity, and accuracy in female, obese, and diabetic individuals, as well as in those with multivessel disease. All enrolled individuals will be followed for adverse and serious adverse events for up to 32 hours after the index PET scan. The study will have >90% power (one-sided test, α = 0.025) to test the hypothesis that sensitivity and specificity of 15O-water PET are both >60%. CONCLUSIONS The RAPID WATER FLOW study is a prospective, multicenter study to determine the diagnostic sensitivity and specificity of 15O-water PET as compared to ICA with FFR/iFR or CCTA. This study will introduce several novel aspects to imaging registration studies, including a more relevant truth standard incorporating invasive physiologic indexes, coronary CTA to qualify normal individuals for eligibility, and a more quantitative approach to image analysis than has been done in prior pivotal studies. CLINICAL TRIAL REGISTRATION INFORMATION Clinical-Trials.gov (#NCT05134012).
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Affiliation(s)
- Marcelo F Di Carli
- Departments of Medicine and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Lars C Gormsen
- Department of Nuclear Medicine & PET Center, Aarhus University Hospital, Denmark
| | | | | | - Rob Beanlands
- National Cardiac PET Centre, Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Canada
| | - Rob DeKemp
- National Cardiac PET Centre, Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Canada
| | - Thomas Schindler
- Department of Radiology, Washington University, St Louis, MO, USA
| | - Robert Gropler
- Department of Radiology, Washington University, St Louis, MO, USA
| | | | - Parren McNeely
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - Prem Soman
- Departments of Medicine and Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Orhan Oz
- Department of Radiology, UT Southwestern, Dallas, TX, USA
| | - Vlad Zaha
- Department of Radiology, UT Southwestern, Dallas, TX, USA
| | - Jens Sorensen
- PET Center, Uppsala University Hospital, Uppsala, Sweden
| | | | | | | | - James Udelson
- Division of Cardiology and the CardioVascular Center, Tufts Medical Center, Boston, MA, USA
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Pijeira MSO, Nunes PSG, Chaviano SL, Diaz AMA, DaSilva JN, Ricci-Junior E, Alencar LMR, Chen X, Santos-Oliveira R. Medicinal (Radio) Chemistry: Building Radiopharmaceuticals for the Future. Curr Med Chem 2024; 31:5481-5534. [PMID: 37594105 DOI: 10.2174/0929867331666230818092634] [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: 03/10/2023] [Revised: 05/30/2023] [Accepted: 07/13/2023] [Indexed: 08/19/2023]
Abstract
Radiopharmaceuticals are increasingly playing a leading role in diagnosing, monitoring, and treating disease. In comparison with conventional pharmaceuticals, the development of radiopharmaceuticals does follow the principles of medicinal chemistry in the context of imaging-altered physiological processes. The design of a novel radiopharmaceutical has several steps similar to conventional drug discovery and some particularity. In the present work, we revisited the insights of medicinal chemistry in the current radiopharmaceutical development giving examples in oncology, neurology, and cardiology. In this regard, we overviewed the literature on radiopharmaceutical development to study overexpressed targets such as prostate-specific membrane antigen and fibroblast activation protein in cancer; β-amyloid plaques and tau protein in brain disorders; and angiotensin II type 1 receptor in cardiac disease. The work addresses concepts in the field of radiopharmacy with a special focus on the potential use of radiopharmaceuticals for nuclear imaging and theranostics.
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Affiliation(s)
- Martha Sahylí Ortega Pijeira
- Laboratory of Nanoradiopharmaceuticals and Synthesis of Novel Radiopharmaceuticals, Brazilian Nuclear Energy Commission, Nuclear Engineering Institute, Rio de Janeiro 21941906, Brazil
| | - Paulo Sérgio Gonçalves Nunes
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas SP13083-970, Brazil
| | - Samila Leon Chaviano
- Laboratoire de Biomatériaux pour l'Imagerie Médicale, Axe Médicine Régénératrice, Centre de Recherche du Centre Hospitalier Universitaire de Québec - Université Laval, Québec, QC, Canada
| | - Aida M Abreu Diaz
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada
- Département de Pharmacologie et Physiologie, Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada
- Institute de Génie Biomédical, Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Jean N DaSilva
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada
- Département de Pharmacologie et Physiologie, Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada
- Institute de Génie Biomédical, Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Eduardo Ricci-Junior
- Laboratório de Desenvolvimento Galênico, Faculdade de Farmácia, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil
| | - Luciana Magalhães Rebelo Alencar
- Laboratory of Biophysics and Nanosystems, Federal University of Maranhão, Av. dos Portugueses, 1966, Vila Bacanga, São Luís MA65080-805, Brazil
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and Faculty of Engineering, National University of Singapore 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 117599, Singapore
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore 117597, Singapore
| | - Ralph Santos-Oliveira
- Laboratory of Nanoradiopharmaceuticals and Synthesis of Novel Radiopharmaceuticals, Brazilian Nuclear Energy Commission, Nuclear Engineering Institute, Rio de Janeiro 21941906, Brazil
- Laboratory of Radiopharmacy and Nanoradiopharmaceuticals, Rio de Janeiro State University, Rio de Janeiro 23070200, Brazil
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van Diemen PA, de Winter RW, Schumacher SP, Everaars H, Bom MJ, Jukema RA, Somsen YB, Raijmakers PG, Kooistra RA, Timmer J, Maaniitty T, Robbers LF, von Bartheld MB, Demirkiran A, van Rossum AC, Reiber JH, Knuuti J, Underwood SR, Nagel E, Knaapen P, Driessen RS, Danad I. The diagnostic performance of quantitative flow ratio and perfusion imaging in patients with prior coronary artery disease. Eur Heart J Cardiovasc Imaging 2023; 25:116-126. [PMID: 37578007 PMCID: PMC10735295 DOI: 10.1093/ehjci/jead197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/07/2023] [Accepted: 07/20/2023] [Indexed: 08/15/2023] Open
Abstract
AIMS In chronic coronary syndrome (CCS) patients with documented coronary artery disease (CAD), ischaemia detection by myocardial perfusion imaging (MPI) and an invasive approach are viable diagnostic strategies. We compared the diagnostic performance of quantitative flow ratio (QFR) with single-photon emission computed tomography (SPECT), positron emission tomography (PET), and cardiac magnetic resonance imaging (CMR) in patients with prior CAD [previous percutaneous coronary intervention (PCI) and/or myocardial infarction (MI)]. METHODS AND RESULTS This PACIFIC-2 sub-study evaluated 189 CCS patients with prior CAD for inclusion. Patients underwent SPECT, PET, and CMR followed by invasive coronary angiography with fractional flow reserve (FFR) measurements of all major coronary arteries (N = 567), except for vessels with a sub-total or chronic total occlusion. Quantitative flow ratio computation was attempted in 488 (86%) vessels with measured FFR available (FFR ≤0.80 defined haemodynamically significant CAD). Quantitative flow ratio analysis was successful in 334 (68%) vessels among 166 patients and demonstrated a higher accuracy (84%) and sensitivity (72%) compared with SPECT (66%, P < 0.001 and 46%, P = 0.001), PET (65%, P < 0.001 and 58%, P = 0.032), and CMR (72%, P < 0.001 and 33%, P < 0.001). The specificity of QFR (87%) was similar to that of CMR (83%, P = 0.123) but higher than that of SPECT (71%, P < 0.001) and PET (67%, P < 0.001). Lastly, QFR exhibited a higher area under the receiver operating characteristic curve (0.89) than SPECT (0.57, P < 0.001), PET (0.66, P < 0.001), and CMR (0.60, P < 0.001). CONCLUSION QFR correlated better with FFR in patients with prior CAD than MPI, as reflected in the higher diagnostic performance measures for detecting FFR-defined, vessel-specific, significant CAD.
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Affiliation(s)
- Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Henk Everaars
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Yvemarie B Somsen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | | | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Lourens F Robbers
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Martin B von Bartheld
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ahmet Demirkiran
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | | | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Eike Nagel
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
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49
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Lima BB, Benz DC. Casting aside the creep: harnessing cardiorespiratory dynamics to optimize myocardial flow assessment in cardiac PET. J Nucl Cardiol 2023; 30:2301-2302. [PMID: 37731013 DOI: 10.1007/s12350-023-03376-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/22/2023]
Affiliation(s)
- Bruno B Lima
- Division of Cardiovascular Medicine, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dominik C Benz
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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50
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Inkinen SI, Hippeläinen E, Uusitalo V. Adenosine-induced splenic switch-off on [ 15O]H 2O PET perfusion for the assessment of vascular vasodilatation. EJNMMI Res 2023; 13:96. [PMID: 37943363 PMCID: PMC10635971 DOI: 10.1186/s13550-023-01045-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/18/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Splenic switch-off (SSO) is a marker of adequate adenosine-induced vasodilatation on cardiac magnetic resonance perfusion imaging. We evaluate the feasibility of quantitative assessment of SSO in myocardial positron emission tomography (PET) perfusion imaging using [15O]H2O. METHODS Thirty patients underwent [15O]H2O PET perfusion with adenosine stress. Time-activity curves, as averaged standardized uptake values (SUVavg), were extracted from dynamic PET for spleen and liver. Maximum SUVavg, stress and rest spleen-to-liver ratio (SLR), and the splenic activity concentration ratio (SAR) were computed. Optimal cut-off values for SSO assessment were estimated from receiver operating characteristics (ROC) curve for maximum SUVavg and SLR. Also, differences between coronary artery disease, myocardial ischemia, beta-blockers, and diabetes were assessed. Data are presented as median [interquartile range]. RESULTS In concordance with the SSO phenomenon, both the spleen maximum SUVavg and SLR were lower in adenosine stress when compared to rest perfusion (8.1 [6.5, 9.2] versus 16.4 [13.4, 19.0], p < 0.001) and (0.81 [0.63, 1.08] versus 1.86 [1.73, 2.06], p < 0.001), respectively. During adenosine stress, the SSO effect was most prominent 40-160 s after radiotracer injection. Cut-off values of 12.6 and 1.57 for maximum SUVavg and SLR, respectively, were found based on ROC analysis. No differences in SAR, SLRRest, or SLRStress were observed in patients with coronary artery disease, myocardial ischemia, or diabetes. CONCLUSIONS SSO can be quantified from [15O]H2O PET perfusion and used as a marker for adequate adenosine-induced vasodilatation response. In contrary to other PET perfusion tracers, adenosine-induced SSO is time dependent with [15O]H2O.
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Affiliation(s)
- Satu Irene Inkinen
- HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, Helsinki University and Helsinki University Hospital, Helsinki, Finland.
| | - Eero Hippeläinen
- HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, Helsinki University and Helsinki University Hospital, Helsinki, Finland
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Valtteri Uusitalo
- HUS Diagnostic Center, Clinical Physiology and Nuclear Medicine, Helsinki University and Helsinki University Hospital, Helsinki, Finland
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