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Lisi C, Moser LJ, Mergen V, Flohr T, Eberhard M, Alkadhi H. Increasing the rate of datasets amenable to CT FFR and quantitative plaque analysis: Value of software for reducing stair-step artifacts demonstrated in photon-counting detector CT. Eur J Radiol Open 2024; 12:100574. [PMID: 38882632 PMCID: PMC11179571 DOI: 10.1016/j.ejro.2024.100574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 05/25/2024] [Accepted: 05/28/2024] [Indexed: 06/18/2024] Open
Abstract
Purpose To determine the value of an algorithm for reducing stair-step artifacts for advanced coronary analyses in sequential mode coronary CT angiography (CCTA). Methods Forty patients undergoing sequential mode photon-counting detector CCTA with at least one stair-step artifact were included. Twenty patients (14 males; mean age 57±17years) with 45 segments showing stair-step artifacts and without atherosclerosis were included for CTFFR analysis. Twenty patients (20 males; mean age 74±13years) with 22 segments showing stair-step artifacts crossing an atherosclerotic plaque were included for quantitative plaque analysis. Artifacts were graded, and CTFFR and quantitative coronary plaque analyses were performed in standard reconstructions and in those reconstructed with a software (entitled ZeeFree) for artifact reduction. Results Stair-step artifacts were significantly reduced in ZeeFree compared to standard reconstructions (p<0.05). In standard reconstructions, CTFFR was not feasible in 3/45 (7 %) segments but was feasible in all ZeeFree reconstructions. In 9/45 (20 %) segments without atherosclerosis, the ZeeFree algorithm led to a change of CTFFR values from pathologic in standard to physiologic values in ZeeFree reconstructions. In one segment (1/22, 5 %), quantitative plaque analysis was not feasible in standard but only in ZeeFree reconstruction. The mean overall plaque volume (111±60 mm3), the calcific (77±47 mm3), fibrotic (31±28 mm3), and lipidic (4±3 mm3) plaque components were higher in standard than in ZeeFree reconstructions (overall 75±50 mm3, p<0.001; calcific 51±42 mm3, p<0.001; fibrotic 22±19 mm3, p<0.05; lipidic 3±3 mm3, p=0.055). Conclusion Despite the lack of reference standard modalities for CTFFR and coronary plaque analysis, initial evidence indicates that an algorithm for reducing stair-step artifacts in sequential mode CCTA increases the rate and quality of datasets amenable to advanced coronary artery analysis, hereby potentially improving patient management.
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Affiliation(s)
- Costanza Lisi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy
| | - Lukas J Moser
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Victor Mergen
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Flohr
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Eberhard
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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Omaygenc MO, Kadoya Y, Small GR, Chow BJW. Cardiac CT: Competition, complimentary or confounder. J Med Imaging Radiat Sci 2024; 55:S31-S38. [PMID: 38433089 DOI: 10.1016/j.jmir.2024.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 03/05/2024]
Abstract
Coronary CT angiography (CCTA) has been gradually adopted into clinical practice over the last two decades. CCTA has high diagnostic accuracy, prognostic value, and unique features such as assessment of plaque composition. CCTA-derived functional assessment techniques such as fractional flow reserve and CT perfusion are also available and can increase the diagnostic specificity of the modality. These properties propound CCTA as a competitor of functional testing in diagnosis of obstructive CAD, however, utilizing CCTA in a concomitant fashion to potentiate the performance of the latter can lead to better patient care and may provide more accurate prognostic information. Although multiple diagnostic challenges such as evaluation of calcified segments, stents, and small distal vessels still exist, the technologic developments in hardware as well as growing incorporation of artificial intelligence to daily practice are all set to augment the diagnostic and prognostic role of CCTA in cardiovascular disorders.
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Affiliation(s)
- Mehmet Onur Omaygenc
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada.
| | - Yoshito Kadoya
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Gary Robert Small
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Benjamin Joe Wade Chow
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada; Department of Radiology, University of Ottawa, Ottawa, Canada
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Yoshida K, Tanabe Y, Hosokawa T, Morikawa T, Fukuyama N, Kobayashi Y, Kouchi T, Kawaguchi N, Matsuda M, Kido T, Kido T. Coronary computed tomography angiography for clinical practice. Jpn J Radiol 2024; 42:555-580. [PMID: 38453814 PMCID: PMC11139719 DOI: 10.1007/s11604-024-01543-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 01/28/2024] [Indexed: 03/09/2024]
Abstract
Coronary artery disease (CAD) is a common condition caused by the accumulation of atherosclerotic plaques. It can be classified into stable CAD or acute coronary syndrome. Coronary computed tomography angiography (CCTA) has a high negative predictive value and is used as the first examination for diagnosing stable CAD, particularly in patients at intermediate-to-high risk. CCTA is also adopted for diagnosing acute coronary syndrome, particularly in patients at low-to-intermediate risk. Myocardial ischemia does not always co-exist with coronary artery stenosis, and the positive predictive value of CCTA for myocardial ischemia is limited. However, CCTA has overcome this limitation with recent technological advancements such as CT perfusion and CT-fractional flow reserve. In addition, CCTA can be used to assess coronary artery plaques. Thus, the indications for CCTA have expanded, leading to an increased demand for radiologists. The CAD reporting and data system (CAD-RADS) 2.0 was recently proposed for standardizing CCTA reporting. This RADS evaluates and categorizes patients based on coronary artery stenosis and the overall amount of coronary artery plaque and links this to patient management. In this review, we aimed to review the major trials and guidelines for CCTA to understand its clinical role. Furthermore, we aimed to introduce the CAD-RADS 2.0 including the assessment of coronary artery stenosis, plaque, and other key findings, and highlight the steps for CCTA reporting. Finally, we aimed to present recent research trends including the perivascular fat attenuation index, artificial intelligence, and the advancements in CT technology.
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Affiliation(s)
- Kazuki Yoshida
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
| | - Takaaki Hosokawa
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Tomoro Morikawa
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Naoki Fukuyama
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yusuke Kobayashi
- Department of Radiology, Matsuyama Red Cross Hospital, Bunkyocho, Matsuyama, Ehime, Japan
| | - Takanori Kouchi
- Department of Radiology, Juzen General Hospital, Kitashinmachi, Niihama, Ehime, Japan
| | - Naoto Kawaguchi
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Megumi Matsuda
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Tomoyuki Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
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Okamura T, Tsukamoto K, Arai H, Fujioka Y, Ishigaki Y, Koba S, Ohmura H, Shoji T, Yokote K, Yoshida H, Yoshida M, Deguchi J, Dobashi K, Fujiyoshi A, Hamaguchi H, Hara M, Harada-Shiba M, Hirata T, Iida M, Ikeda Y, Ishibashi S, Kanda H, Kihara S, Kitagawa K, Kodama S, Koseki M, Maezawa Y, Masuda D, Miida T, Miyamoto Y, Nishimura R, Node K, Noguchi M, Ohishi M, Saito I, Sawada S, Sone H, Takemoto M, Wakatsuki A, Yanai H. Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2022. J Atheroscler Thromb 2024; 31:641-853. [PMID: 38123343 DOI: 10.5551/jat.gl2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Affiliation(s)
- Tomonori Okamura
- Preventive Medicine and Public Health, Keio University School of Medicine
| | | | | | - Yoshio Fujioka
- Faculty of Nutrition, Division of Clinical Nutrition, Kobe Gakuin University
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University
| | - Shinji Koba
- Division of Cardiology, Department of Medicine, Showa University School of Medicine
| | - Hirotoshi Ohmura
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | - Tetsuo Shoji
- Department of Vascular Medicine, Osaka Metropolitan University Graduate school of Medicine
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Hiroshi Yoshida
- Department of Laboratory Medicine, The Jikei University Kashiwa Hospital
| | | | - Juno Deguchi
- Department of Vascular Surgery, Saitama Medical Center, Saitama Medical University
| | - Kazushige Dobashi
- Department of Pediatrics, School of Medicine, University of Yamanashi
| | | | | | - Masumi Hara
- Department of Internal Medicine, Mizonokuchi Hospital, Teikyo University School of Medicine
| | - Mariko Harada-Shiba
- Cardiovascular Center, Osaka Medical and Pharmaceutical University
- Department of Molecular Pathogenesis, National Cerebral and Cardiovascular Center Research Institute
| | - Takumi Hirata
- Institute for Clinical and Translational Science, Nara Medical University
| | - Mami Iida
- Department of Internal Medicine and Cardiology, Gifu Prefectural General Medical Center
| | - Yoshiyuki Ikeda
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, School of Medicine
- Current affiliation: Ishibashi Diabetes and Endocrine Clinic
| | - Hideyuki Kanda
- Department of Public Health, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Shinji Kihara
- Medical Laboratory Science and Technology, Division of Health Sciences, Osaka University graduate School of medicine
| | - Kazuo Kitagawa
- Department of Neurology, Tokyo Women's Medical University Hospital
| | - Satoru Kodama
- Department of Prevention of Noncommunicable Diseases and Promotion of Health Checkup, Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Masahiro Koseki
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Yoshiro Maezawa
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Daisaku Masuda
- Department of Cardiology, Center for Innovative Medicine and Therapeutics, Dementia Care Center, Doctor's Support Center, Health Care Center, Rinku General Medical Center
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine
| | | | - Rimei Nishimura
- Department of Diabetes, Metabolism and Endocrinology, The Jikei University School of Medicine
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Midori Noguchi
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University
| | - Shojiro Sawada
- Division of Metabolism and Diabetes, Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Hirohito Sone
- Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Minoru Takemoto
- Department of Diabetes, Metabolism and Endocrinology, International University of Health and Welfare
| | | | - Hidekatsu Yanai
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine Kohnodai Hospital
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5
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Wang Z, Tang C, Zuo R, Zhou A, Xu W, Zhong J, Xu Z, Zhang L. Pre-PCI CT-FFR Predicts Target Vessel Failure After Stent Implantation. J Thorac Imaging 2024:00005382-990000000-00139. [PMID: 38800956 DOI: 10.1097/rti.0000000000000791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
OBJECTIVES To investigate the predictive value of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) before percutaneous coronary intervention (PCI) to predict target vessel failure (TVF) after stent implantation. METHODS This retrospective study included 429 patients (429 vessels) who underwent PCI and stent implantation after CCTA within 3 months. All patients underwent coronary stent implantation between January 2012 and December 2019. A dedicated workstation (Syngo Via, Siemens) was used to analyze and measure the CT-FFR value. The cut-off values of pre-PCI CT-FFR for predicting TVF were defined as 0.80 and the value using the log-rank maximization method, respectively. The primary outcome was TVF, defined as a composite of cardiac death, target vessel myocardial infarction, and clinically driven target vessel revascularization (TVR), which was a secondary outcome. RESULTS During a median 64.0 months follow-up, the cumulative incidence of TVF was 7.9% (34/429). The cutoff value of pre-PCI CT-FFR based on the log-rank maximization method was 0.74, which was the independent predictor for TVF [hazard ratio (HR): 2.61 (95% CI: 1.13, 6.02); P=0.024] and TVR [HR: 3.63 (95%CI: 1.25, 10.51); P=0.018]. Compared with the clinical risk factor model, pre-PCI CT-FFR significantly improved the reclassification ability for TVF [net reclassification improvement (NRI), 0.424, P<0.001; integrative discrimination index (IDI), 0.011, P=0.022]. Adding stent information to the prediction model resulted in an improvement in reclassification for the TVF (C statistics: 0.711, P=0.001; NRI: 0.494, P<0.001; IDI: 0.020, P=0.028). CONCLUSIONS Pre-PCI CT-FFR ≤0.74 was an independent predictor for TVF or TVR, and integration of clinical, pre-PCI CT-FFR, and stent information models can provide a better risk stratification model in patients with stent implantation.
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Affiliation(s)
- Zewen Wang
- Department of Radiology, Jinling Hospital, Nanjing Medical University
| | - Chunxiang Tang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Rui Zuo
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Aiming Zhou
- Department of Radiology, Hai'an Hospital of Traditional Chinese Medicine, Nantong, Jiangsu
| | - Wei Xu
- Department of Radiology, Jinling Hospital, Nanjing Medical University
| | - Jian Zhong
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
| | - Zhihan Xu
- CT Collaboration, Siemens Healthineers, Shanghai, China
| | - Longjiang Zhang
- Department of Radiology, Jinling Hospital, Nanjing Medical University
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing
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6
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Faulder TI, Prematunga K, Moloi SB, Faulder LE, Jones R, Moxon JV. Agreement of Fractional Flow Reserve Estimated by Computed Tomography With Invasively Measured Fractional Flow Reserve: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2024; 13:e034552. [PMID: 38726901 PMCID: PMC11179792 DOI: 10.1161/jaha.124.034552] [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: 01/18/2024] [Accepted: 03/21/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Fractional flow reserve (FFR) is the ratio of blood pressure measured distal to a stenosis and pressure proximal to a stenosis. FFR can be estimated noninvasively using computed tomography (CT) although the usefulness of this technique remains controversial. This meta-analysis evaluated the agreement of FFR estimated by CT (FFR-CT) with invasively measured FFR. The study also evaluated the diagnostic accuracy of FFR-CT, defined as the ability of FFR-CT to classify lesions as hemodynamically significant (invasive FFR ≤0.8) or insignificant (invasive FFR >0.8). METHODS AND RESULTS Forty-three studies reporting on 7291 blood vessels from 5236 patients were included. A moderate positive linear relationship between FFR-CT and invasively measured FFR was observed (Spearman correlation coefficient: 0.67). Agreement between the 2 measures increased as invasively measured FFR values approached 1. The overall diagnostic accuracy, sensitivity and specificity of FFR-CT were 82.2%, 80.9%, and 83.1%, respectively. Diagnostic accuracy of 90% could be demonstrated for FFR-CT values >0.90 and <0.49. The diagnostic accuracy of off-site tools was 79.4% and the diagnostic accuracy of on-site tools was 84.1%. CONCLUSIONS The agreement between FFR-CT and invasive FFR is moderate although agreement is highest in vessels with FFR-CT >0.9. Diagnostic accuracy varies widely with FFR-CT value but is above 90% for FFR-CT values >0.90 and <0.49. Furthermore, on-site and off-site tools have similar performance. Ultimately, FFR-CT may be a useful adjunct to CT coronary angiography as a gatekeeper for invasive coronary angiogram.
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Affiliation(s)
- Thomas I Faulder
- College of Medicine and Dentistry James Cook University Townsville QLD Australia
| | | | - Soniah B Moloi
- Department of Cardiology Townsville University Hospital Townsville QLD Australia
| | - Lauren E Faulder
- College of Medicine and Dentistry University of Adelaide Adelaide SA Australia
| | - Rhondda Jones
- Graduate Research School James Cook University Townsville QLD Australia
- Tropical Australian Academic Health Centre James Cook University Townsville QLD Australia
| | - Joseph V Moxon
- College of Medicine and Dentistry James Cook University Townsville QLD Australia
- The Australian Institute of Tropical Health and Medicine James Cook University Townsville QLD Australia
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7
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Oikonomou EK, Aminorroaya A, Dhingra LS, Partridge C, Velazquez EJ, Desai NR, Krumholz HM, Miller EJ, Khera R. Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2024; 5:303-313. [PMID: 38774380 PMCID: PMC11104476 DOI: 10.1093/ehjdh/ztae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/13/2024] [Accepted: 03/20/2024] [Indexed: 05/24/2024]
Abstract
Aims An algorithmic strategy for anatomical vs. functional testing in suspected coronary artery disease (CAD) (Anatomical vs. Stress teSting decIsion Support Tool; ASSIST) is associated with better outcomes than random selection. However, in the real world, this decision is rarely random. We explored the agreement between a provider-driven vs. simulated algorithmic approach to cardiac testing and its association with outcomes across multinational cohorts. Methods and results In two cohorts of functional vs. anatomical testing in a US hospital health system [Yale; 2013-2023; n = 130 196 (97.0%) vs. n = 4020 (3.0%), respectively], and the UK Biobank [n = 3320 (85.1%) vs. n = 581 (14.9%), respectively], we examined outcomes stratified by agreement between the real-world and ASSIST-recommended strategies. Younger age, female sex, Black race, and diabetes history were independently associated with lower odds of ASSIST-aligned testing. Over a median of 4.9 (interquartile range [IQR]: 2.4-7.1) and 5.4 (IQR: 2.6-8.8) years, referral to the ASSIST-recommended strategy was associated with a lower risk of acute myocardial infarction or death (hazard ratioadjusted: 0.81, 95% confidence interval [CI] 0.77-0.85, P < 0.001 and 0.74 [95% CI 0.60-0.90], P = 0.003, respectively), an effect that remained significant across years, test types, and risk profiles. In post hoc analyses of anatomical-first testing in the Prospective Multicentre Imaging Study for Evaluation of Chest Pain (PROMISE) trial, alignment with ASSIST was independently associated with a 17% and 30% higher risk of detecting CAD in any vessel or the left main artery/proximal left anterior descending coronary artery, respectively. Conclusion In cohorts where historical practices largely favour functional testing, alignment with an algorithmic approach to cardiac testing defined by ASSIST was associated with a lower risk of adverse outcomes. This highlights the potential utility of a data-driven approach in the diagnostic management of CAD.
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Affiliation(s)
- Evangelos K Oikonomou
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
| | - Arya Aminorroaya
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
| | - Lovedeep S Dhingra
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
| | - Caitlin Partridge
- Yale Center for Clinical Investigation, 2 Church Street South, New Haven, 06519 CT, USA
| | - Eric J Velazquez
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
| | - Nihar R Desai
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
| | - Harlan M Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 Church Street 5th Floor, New Haven, 06510 CT, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 333 Cedar Street, PO Box 208017, New Haven, 06520-8017 CT, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 Church Street 5th Floor, New Haven, 06510 CT, USA
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, 100 College Street, New Haven, 06511 CT, USA
- Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, 06510 CT, USA
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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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Muscogiuri G, Weir-McCall JR, Tregubova M, Ley S, Loewe C, Alkadhi H, Salgado R, Vliegenthart R, Williams MC. ESR Essentials: imaging in stable chest pain - practice recommendations by ESCR. Eur Radiol 2024:10.1007/s00330-024-10739-y. [PMID: 38625611 DOI: 10.1007/s00330-024-10739-y] [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: 11/23/2023] [Revised: 02/27/2024] [Accepted: 03/04/2024] [Indexed: 04/17/2024]
Abstract
Stable chest pain is a common symptom with multiple potential causes. Non-invasive imaging has an important role in diagnosis and guiding management through the assessment of coronary stenoses, atherosclerotic plaque, myocardial ischaemia or infarction, and cardiac function. Computed tomography (CT) provides the anatomical evaluation of coronary artery disease (CAD) with the assessment of stenosis, plaque type and plaque burden, with additional functional information available from CT fractional flow reserve (FFR) or CT myocardial perfusion imaging. Stress magnetic resonance imaging, nuclear stress myocardial perfusion imaging, and stress echocardiography can assess myocardial ischaemia and other cardiac functional parameters. Coronary CT angiography can be used as a first-line test for many patients with stable chest pain, particularly those with low to intermediate pre-test probability. Functional testing may be considered for patients with known CAD, where the clinical significance is uncertain based on anatomical testing, or in patients with high pre-test probability. This practice recommendations document can be used to guide the selection of non-invasive imaging for patients with stable chest pain and provides brief recommendations on how to perform and report these diagnostic tests. KEY POINTS: The selection of non-invasive imaging tests for patients with stable chest pain should be based on symptoms, pre-test probability, and previous history. Coronary CT angiography can be used as a first-line test for many patients with stable chest pain, particularly those with low to intermediate pre-test probability. Functional testing can be considered for patients with known CAD, where the clinical significance of CAD is uncertain based on anatomical testing, or in patients with high pre-test probability. KEY RECOMMENDATIONS: Non-invasive imaging is an important part of the assessment of patients with stable chest pain. The selection of non-invasive imaging test should be based on symptoms, pre-test probability, and previous history. (Level of evidence: High). Coronary CT angiography can be used as a first line test for many patients with stable chest pain, particularly those with low to intermediate pre-test probability. CT provides information on stenoses, plaque type, plaque volume, and if required functional information with CT fractional flow reserve or CT perfusion. (Level of evidence: High). Functional testing can be considered for patients with known CAD, where the clinical significance of CAD is uncertain based on anatomical testing, or in patients with high pre-test probability. Stress MRI, SPECT, PET, and echocardiography can provide information on myocardial ischemia, along with cardiac functional and other information. (Level of evidence: Medium).
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Affiliation(s)
| | - Jonathan R Weir-McCall
- Department of Radiology, Royal Papworth Hospital, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Mariia Tregubova
- Department of Radiology, Amosov National Institute of Cardiovascular Surgery NAMS of Ukraine, Kyiv, Ukraine
| | - Sebastian Ley
- Department of Radiology, Internistisches Klinikum München Süd, Munich, Germany
| | - Christian Loewe
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Wien, Austria
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Rodrigo Salgado
- Department of Radiology, Antwerp University Hospital & Holy Heart Lier, Antwerp, Belgium
| | - Rozemarijn Vliegenthart
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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10
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Randhawa MK, Takigami AK, Thondapu V, Ranganath PG, Zhang E, Parakh A, Goiffon RJ, Baliyan V, Foldyna B, Lu MT, Tower-Rader A, Meyersohn NM, Hedgire S, Ghoshhajra BB. Selective Use of CT Fractional Flow at a Large Academic Medical Center: Insights from Clinical Implementation after 1 Year of Practice. Radiol Cardiothorac Imaging 2024; 6:e230073. [PMID: 38573127 PMCID: PMC11056747 DOI: 10.1148/ryct.230073] [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: 03/16/2023] [Revised: 02/08/2024] [Accepted: 02/28/2024] [Indexed: 04/05/2024]
Abstract
Purpose This special report outlines a retrospective observational study of CT fractional flow reserve (CT-FFR) analysis using dual-source coronary CT angiography (CTA) scans performed without heart rate control and its impact on clinical outcomes. Materials and Methods All patients who underwent clinically indicated coronary CTA between August 2020 and August 2021 were included in this retrospective observational study. Scans were performed in the late systolic to early diastolic period without heart rate control and analyzed at the interpreting physician's discretion. Demographics, coronary CTA features, and rates of invasive coronary angiography (ICA), percutaneous coronary intervention (PCI), myocardial infarction, and all-cause death at 3 months were assessed by chart review. Results During the study period, 3098 patients underwent coronary CTA, of whom 113 with coronary bypass grafting were excluded. Of the remaining 2985 patients, 292 (9.7%) were referred for CT-FFR analysis. Two studies (0.7%) were rejected from CT-FFR analysis, and six (2.1%) analyses did not evaluate the lesion of concern. A total of 160 patients (56.3%) had CT-FFR greater than 0.80. Among patients with significant stenosis at coronary CTA, patients who underwent CT-FFR analysis presented with lower rates of ICA (74.5% vs 25.5%, P = .04) and PCI (78.9% vs 21.1%, P = .05). Conclusion CT-FFR was implemented in patients not requiring heart rate control by using dual-source coronary CTA acquisition and showed the potential to decrease rates of ICA and PCI without compromising safety in patients with significant stenosis and an average heart rate of 65 beats per minute. Keywords: Angiography, CT, CT-Angiography, Fractional Flow Reserve, Cardiac, Heart, Arteriosclerosis Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
| | | | - Vikas Thondapu
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Praveen G. Ranganath
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Eric Zhang
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Anushri Parakh
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Reece J. Goiffon
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Vinit Baliyan
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Borek Foldyna
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Michael T. Lu
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Albree Tower-Rader
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Nandini M. Meyersohn
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Sandeep Hedgire
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
| | - Brian B. Ghoshhajra
- From the Department of Radiology, Division of Cardiovascular Imaging,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB-295,
Boston, MA 02114
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11
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Sutelman P, Radike M, Vilahur G. Seeing is believing: pathway strategies for a personalised non-invasive diagnosis of coronary artery disease. Intern Emerg Med 2024; 19:259-263. [PMID: 38315383 DOI: 10.1007/s11739-023-03526-y] [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: 10/26/2023] [Accepted: 12/27/2023] [Indexed: 02/07/2024]
Abstract
Coronary artery disease (CAD) diagnosis requires a precise assessment of patient profile and disease extension. While non-invasive imaging modalities offer an in-depth evaluation of CAD through differential approaches, this is based primarily on detecting coronary plaques or inducible myocardial ischaemia, thus each offering only a partial outlook of this condition. The improvement in appropriately identifying CAD patients at risk of developing major adverse cardiovascular events and guiding treatment outcomes will require developing a personalised diagnostic strategy for a value-based application of current technologies.
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Affiliation(s)
- Pablo Sutelman
- Heart Institute, Teknon Medical Centre, Barcelona, Spain
| | - Monika Radike
- Radiology Department, Liverpool Heart and Chest Hospital, Thomas Drive, Liverpool, L14 3PE, UK
| | - Gemma Vilahur
- Research Institute, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, C/Sant Antoni Mª Claret 167, 08025, Barcelona, Spain.
- CiberCV, Institute Carlos III, Madrid, Spain.
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12
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Yuki H, Isselbacher E, Niida T, Suzuki K, Kinoshita D, Fujimoto D, Lee H, McNulty I, Nakamura S, Kakuta T, Jang I. Protruding Aortic Plaque and Coronary Plaque Vulnerability. J Am Heart Assoc 2024; 13:e032742. [PMID: 38193293 PMCID: PMC10926811 DOI: 10.1161/jaha.123.032742] [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: 09/19/2023] [Accepted: 11/08/2023] [Indexed: 01/10/2024]
Abstract
BACKGROUND Protruding aortic plaque is known to be associated with an increased risk for future cardiac and cerebrovascular events. However, the relationship between protruding aortic plaque and coronary plaque characteristics has not been systematically investigated. METHODS AND RESULTS A total of 615 patients who underwent computed tomography angiography, and preintervention optical coherence tomography imaging were included. Coronary plaque characteristics were compared to evaluate coronary plaque vulnerability in patients with protruding aortic plaque on computed tomography angiography. 615 patients, the 186 (30.2%) patients with protruding aortic plaque were older and had more comorbidities such as hypertension, chronic kidney disease, and a prior myocardial infarction than those without. They also had a higher prevalence of coronary plaques with vulnerable features such as thin-cap fibroatheroma (85 [45.7%] versus 120 [28.0%], P<0.001), lipid-rich plaque (165 [88.7%] versus 346 [80.7%], P=0.014), macrophages (147 [79.0%] versus 294 [68.5%], P=0.008), layered plaque (117 [62.9%] versus 213 [49.7%], P=0.002), and plaque rupture (96 [51.6%] versus 111 [25.9%], P<0.001). Patients with protruding aortic plaque experienced more major adverse cardiac and cerebrovascular events, including all-cause mortality, nonfatal acute coronary syndromes, and stroke (27 [14.7%] versus 21 [4.9%], P<0.001; 8 [4.3%] versus 1 [0.2%], P<0.001; 5 [2.7%] versus 3 [0.7%], P=0.030; and 5 [2.7%] versus 2 [0.5%], P=0.013, respectively). CONCLUSIONS The current study demonstrates that patients with protruding aortic plaque have more features of coronary plaque vulnerability and are at increased risk of future adverse events.
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Affiliation(s)
- Haruhito Yuki
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Eric Isselbacher
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Takayuki Niida
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Keishi Suzuki
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Daisuke Kinoshita
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Daichi Fujimoto
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Hang Lee
- Biostatistics Center, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Iris McNulty
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Sunao Nakamura
- Interventional Cardiology Unit, New Tokyo HospitalChibaJapan
| | - Tsunekazu Kakuta
- Department of Cardiology, Tsuchiura Kyodo General HospitalTsuchiura, IbarakiJapan
| | - Ik‐Kyung Jang
- Cardiology Division, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
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13
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Lyu L, Pan J, Li D, Yu D, Li X, Yang W, Dong M, Han Y, Liang Y, Zhang P, Zhang M. A stepwise strategy integrating dynamic stress CT myocardial perfusion and deep learning-based FFR CT in the work-up of stable coronary artery disease. Eur Radiol 2024:10.1007/s00330-023-10562-x. [PMID: 38214735 DOI: 10.1007/s00330-023-10562-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 09/08/2023] [Accepted: 10/29/2023] [Indexed: 01/13/2024]
Abstract
OBJECTIVES To validate a novel stepwise strategy in which computed tomography-derived fractional flow reserve (FFRCT) is restricted to intermediate stenosis on coronary computed tomography angiography (CCTA) and computed tomography myocardial perfusion imaging (CT-MPI) was reserved for vessels with gray zone FFRCT values. MATERIALS AND METHODS This retrospective study included 87 consecutive patients (age, 58 ± 10 years; 70% male) who underwent CCTA, dynamic CT-MPI, interventional coronary angiography (ICA), and fractional flow reserve (FFR) for suspected or known coronary artery disease. FFRCT was computed using a deep learning-based platform. Three stepwise strategies (CCTA + FFRCT + CT-MPI, CCTA + FFRCT, CCTA + CT-MPI) were constructed and their diagnostic performance was evaluated using ICA/FFR as the reference standard. The proportions of vessels requiring further ICA/FFR measurement based on different strategies were noted. Furthermore, the net reclassification index (NRI) was calculated to ascertain the superior model. RESULTS The CCTA + FFRCT + CT-MPI strategy yielded the lowest proportion of vessels requiring additional ICA/FFR measurement when compared to the CCTA + FFRCT and CCTA + CT-MPI strategies (12%, 22%, and 24%). The CCTA + FFRCT + CT-MPI strategy exhibited the highest accuracy for ruling-out (91%, 84%, and 85%) and ruling-in (90%, 85%, and 85%) functionally significant lesions. All strategies exhibited comparable sensitivity for ruling-out functionally significant lesions and specificity for ruling-in functionally significant lesions (p > 0.05). The NRI indicated that the CCTA + FFRCT + CT-MPI strategy outperformed the CCTA + FFRCT strategy (NRI = 0.238, p < 0.001) and the CCTA + CT-MPI strategy (NRI = 0.233%, p < 0.001). CONCLUSIONS The CCTA + FFRCT + CT-MPI stepwise strategy was superior to the CCTA + FFRCT strategy and CCTA+ CT-MPI strategy by minimizing unnecessary invasive diagnostic catheterization without compromising the agreement rate with ICA/FFR. CLINICAL RELEVANCE STATEMENT Our novel stepwise strategy facilitates greater confidence and accuracy when clinicians need to decide on interventional coronary angiography referral or deferral, reducing the burden of invasive investigations on patients. KEY POINTS • A stepwise CCTA + FFRCT + CT-MPI strategy holds promise as a viable method to reduce the need for invasive diagnostic catheterization, while maintaining a high level of agreement with ICA/FFR. • The CCTA + FFRCT + CT-MPI strategy performed better than the CCTA + FFRCT and CCTA + CT-MPI strategies. • A stepwise CCTA + FFRCT + CT-MPI strategy allows to minimize unnecessary invasive diagnostic catheterization and helps clinicians to referral or deferral for ICA/FFR with more confidence.
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Affiliation(s)
- Lijuan Lyu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Jichen Pan
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Dumin Li
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Dexin Yu
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Xinhao Li
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Wei Yang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Mei Dong
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Yeming Han
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Yongfeng Liang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Pengfei Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
| | - Mei Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
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14
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Chow BJ, Galiwango P, Poulin A, Raggi P, Small G, Juneau D, Kazmi M, Ayach B, Beanlands RS, Sanfilippo AJ, Chow CM, Paterson DI, Chetrit M, Jassal DS, Connelly K, Larose E, Bishop H, Kass M, Anderson TJ, Haddad H, Mancini J, Doucet K, Daigle JS, Ahmadi A, Leipsic J, Lim SP, McRae A, Chou AY. Chest Pain Evaluation: Diagnostic Testing. CJC Open 2023; 5:891-903. [PMID: 38204849 PMCID: PMC10774086 DOI: 10.1016/j.cjco.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/01/2023] [Indexed: 01/12/2024] Open
Abstract
Chest pain/discomfort (CP) is a common symptom and can be a diagnostic dilemma for many clinicians. The misdiagnosis of an acute or progressive chronic cardiac etiology may carry a significant risk of morbidity and mortality. This review summarizes the different options and modalities for establishing the diagnosis and severity of coronary artery disease. An effective test selection algorithm should be individually tailored to each patient to maximize diagnostic accuracy in a timely fashion, determine short- and long-term prognosis, and permit implementation of evidence-based treatments in a cost-effective manner. Through collaboration, a decision algorithm was developed (www.chowmd.ca/cadtesting) that could be adopted widely into clinical practice.
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Affiliation(s)
- Benjamin J.W. Chow
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Paul Galiwango
- Department of Medicine, Scarborough Health Network and Lakeridge Health, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Poulin
- Department of Medicine, Quebec Heart and Lung Institute, Laval University, Quebec, Quebec, Canada
| | - Paolo Raggi
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Gary Small
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Daniel Juneau
- Department of Radiology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Mustapha Kazmi
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Bilal Ayach
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Rob S. Beanlands
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Anthony J. Sanfilippo
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Chi-Ming Chow
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - D. Ian Paterson
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Michael Chetrit
- Department of Cardiovascular Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Davinder S. Jassal
- Department of Physiology and Pathophysiology, Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kim Connelly
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Eric Larose
- Department of Medicine, Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Quebec, Canada
| | - Helen Bishop
- Division of Cardiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Malek Kass
- Department of Internal Medicine, Rady Faculty of Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Todd J. Anderson
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Haissam Haddad
- Division of Cardiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - John Mancini
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Katie Doucet
- Peterborough Regional Health Centre, Kawartha Cardiology Clinic, Peterborough, Ontario, Canada
| | - Jean-Sebastien Daigle
- Department of Internal Medicine, Dr Everett Chalmers Hospital, Fredericton, New Brunswick, Canada
| | - Amir Ahmadi
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jonathan Leipsic
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Siok Ping Lim
- Mayfair Diagnostics, Saskatoon, Saskatchewan, Canada
| | - Andrew McRae
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Annie Y. Chou
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, St. Paul’s Hospital, Vancouver, British Columbia, Canada
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15
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Pontone G, Rossi A, Gimelli A, Neglia D. Should we choose CT angiography first instead of SPECT/PET first for the diagnosis and management of coronary artery disease? Atherosclerosis 2023; 385:117315. [PMID: 37890440 DOI: 10.1016/j.atherosclerosis.2023.117315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/04/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
In patients presenting with chest pain, current guidelines recommend the use of coronary computed tomography angiography and single-photon emission tomography/positron emission tomography, both with equal class 1 indication and level of evidence A. There is no clear recommendation on which test should be used as a first-line test. The choice of the test should be based on individualized clinical risk assessment, patient characteristics, local expertise/availability, and patient preferences. In this context, it is fair to ask which non-invasive imaging test to choose. The debate reproduced in this article answers this question by summarizing the considerations in selecting present state-of-the-art criteria of the right test for the right patient to ensure efficient resource utilization, minimize unnecessary testing, and maximize diagnostic accuracy and therapeutic efficacy.
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Affiliation(s)
- Gianluca Pontone
- Department of Periooperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital, Zurich, Switzerland
| | - Alessia Gimelli
- Imaging Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Danilo Neglia
- Cardiovascular and Imaging Departments, Fondazione Toscana Gabriele Monasterio, Pisa, Italy; Sant'Anna School of Advanced Studies, Pisa, Italy
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16
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Hokimoto S, Kaikita K, Yasuda S, Tsujita K, Ishihara M, Matoba T, Matsuzawa Y, Mitsutake Y, Mitani Y, Murohara T, Noda T, Node K, Noguchi T, Suzuki H, Takahashi J, Tanabe Y, Tanaka A, Tanaka N, Teragawa H, Yasu T, Yoshimura M, Asaumi Y, Godo S, Ikenaga H, Imanaka T, Ishibashi K, Ishii M, Ishihara T, Matsuura Y, Miura H, Nakano Y, Ogawa T, Shiroto T, Soejima H, Takagi R, Tanaka A, Tanaka A, Taruya A, Tsuda E, Wakabayashi K, Yokoi K, Minamino T, Nakagawa Y, Sueda S, Shimokawa H, Ogawa H. JCS/CVIT/JCC 2023 guideline focused update on diagnosis and treatment of vasospastic angina (coronary spastic angina) and coronary microvascular dysfunction. J Cardiol 2023; 82:293-341. [PMID: 37597878 DOI: 10.1016/j.jjcc.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/21/2023]
Affiliation(s)
| | - Koichi Kaikita
- Division of Cardiovascular Medicine and Nephrology, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki, Japan
| | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Japan
| | - Masaharu Ishihara
- Department of Cardiovascular and Renal Medicine, School of Medicine, Hyogo Medical University, Japan
| | - Tetsuya Matoba
- Department of Cardiovascular Medicine, Kyushu University Graduate School of Medical Sciences, Japan
| | - Yasushi Matsuzawa
- Division of Cardiology, Yokohama City University Medical Center, Japan
| | - Yoshiaki Mitsutake
- Division of Cardiovascular Medicine, Kurume University School of Medicine, Japan
| | - Yoshihide Mitani
- Department of Pediatrics, Mie University Graduate School of Medicine, Japan
| | - Toyoaki Murohara
- Department of Cardiology, Nagoya University Graduate School of Medicine, Japan
| | - Takashi Noda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University, Japan
| | - Teruo Noguchi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Japan
| | - Hiroshi Suzuki
- Division of Cardiology, Department of Internal Medicine, Showa University Fujigaoka Hospital, Japan
| | - Jun Takahashi
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | - Yasuhiko Tanabe
- Department of Cardiology, Niigata Prefectural Shibata Hospital, Japan
| | - Atsushi Tanaka
- Department of Cardiovascular Medicine, Wakayama Medical University, Japan
| | - Nobuhiro Tanaka
- Division of Cardiology, Tokyo Medical University Hachioji Medical Center, Japan
| | - Hiroki Teragawa
- Department of Cardiovascular Medicine, JR Hiroshima Hospital, Japan
| | - Takanori Yasu
- Department of Cardiovascular Medicine and Nephrology, Dokkyo Medical University Nikko Medical Center, Japan
| | - Michihiro Yoshimura
- Division of Cardiology, Department of Internal Medicine, The Jikei University School of Medicine, Japan
| | - Yasuhide Asaumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Japan
| | - Shigeo Godo
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | - Hiroki Ikenaga
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Japan
| | - Takahiro Imanaka
- Department of Cardiovascular and Renal Medicine, School of Medicine, Hyogo Medical University, Japan
| | - Kohei Ishibashi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Japan
| | - Masanobu Ishii
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Japan
| | | | - Yunosuke Matsuura
- Division of Cardiovascular Medicine and Nephrology, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki, Japan
| | - Hiroyuki Miura
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Japan
| | - Yasuhiro Nakano
- Department of Cardiovascular Medicine, Kyushu University Graduate School of Medical Sciences, Japan
| | - Takayuki Ogawa
- Division of Cardiology, Department of Internal Medicine, The Jikei University School of Medicine, Japan
| | - Takashi Shiroto
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | | | - Ryu Takagi
- Department of Cardiovascular Medicine, JR Hiroshima Hospital, Japan
| | - Akihito Tanaka
- Department of Cardiology, Nagoya University Graduate School of Medicine, Japan
| | - Atsushi Tanaka
- Department of Cardiovascular Medicine, Saga University, Japan
| | - Akira Taruya
- Department of Cardiovascular Medicine, Wakayama Medical University, Japan
| | - Etsuko Tsuda
- Department of Pediatric Cardiology, National Cerebral and Cardiovascular Center, Japan
| | - Kohei Wakabayashi
- Division of Cardiology, Cardiovascular Center, Showa University Koto-Toyosu Hospital, Japan
| | - Kensuke Yokoi
- Department of Cardiovascular Medicine, Saga University, Japan
| | - Toru Minamino
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Japan
| | - Yoshihisa Nakagawa
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Japan
| | - Shozo Sueda
- Department of Cardiology, Pulmonology, Hypertension & Nephrology, Ehime University Graduate School of Medicine, Japan
| | - Hiroaki Shimokawa
- Graduate School, International University of Health and Welfare, Japan
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17
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Sliwicka O, Sechopoulos I, Baggiano A, Pontone G, Nijveldt R, Habets J. Dynamic myocardial CT perfusion imaging-state of the art. Eur Radiol 2023; 33:5509-5525. [PMID: 36997751 PMCID: PMC10326111 DOI: 10.1007/s00330-023-09550-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: 01/21/2022] [Revised: 02/02/2023] [Accepted: 02/22/2023] [Indexed: 04/01/2023]
Abstract
In patients with suspected coronary artery disease (CAD), dynamic myocardial computed tomography perfusion (CTP) imaging combined with coronary CT angiography (CTA) has become a comprehensive diagnostic examination technique resulting in both anatomical and quantitative functional information on myocardial blood flow, and the presence and grading of stenosis. Recently, CTP imaging has been proven to have good diagnostic accuracy for detecting myocardial ischemia, comparable to stress magnetic resonance imaging and positron emission tomography perfusion, while being superior to single photon emission computed tomography. Dynamic CTP accompanied by coronary CTA can serve as a gatekeeper for invasive workup, as it reduces unnecessary diagnostic invasive coronary angiography. Dynamic CTP also has good prognostic value for the prediction of major adverse cardiovascular events. In this article, we will provide an overview of dynamic CTP, including the basics of coronary blood flow physiology, applications and technical aspects including protocols, image acquisition and reconstruction, future perspectives, and scientific challenges. KEY POINTS: • Stress dynamic myocardial CT perfusion combined with coronary CTA is a comprehensive diagnostic examination technique resulting in both anatomical and quantitative functional information. • Dynamic CTP imaging has good diagnostic accuracy for detecting myocardial ischemia comparable to stress MRI and PET perfusion. • Dynamic CTP accompanied by coronary CTA may serve as a gatekeeper for invasive workup and can guide treatment in obstructive coronary artery disease.
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Affiliation(s)
- Olga Sliwicka
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Ioannis Sechopoulos
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Andrea Baggiano
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Robin Nijveldt
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jesse Habets
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
- Department of Radiology and Nuclear Medicine, Haaglanden Medical Center, The Hague, The Netherlands
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18
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Tavoosi A, Kadoya Y, Chong AY, Small GR, Chow BJW. Utility of FFRCT in Patients with Chest Pain. Curr Atheroscler Rep 2023; 25:427-434. [PMID: 37358803 DOI: 10.1007/s11883-023-01117-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2023] [Indexed: 06/27/2023]
Abstract
PURPOSE OF REVIEW The goal of this article is to review the data supporting the use of fractional flow reserve derived from coronary computed tomography angiography (FFRCT) in patients with chest pain. REVIEW FINDINGS Numerous clinical trials have demonstrated that the diagnostic accuracy of coronary computed tomography angiography (CCTA) can be improved with the use of FFRCT, primarily due to its superior specificity when compared to CCTA alone. This promising development may help reduce the need for invasive angiography in patients presenting with chest pain. Furthermore, some studies have indicated that incorporating FFRCT into decision-making is safe, with an FFRCT value of ≥ 0.8 being associated with favorable outcomes. While FFRCT has been shown to be feasible in patients with acute chest pain, further large-scale studies are warranted to confirm its utility. The emergence of FFRCT as a tool for the management of patients with chest pain is promising. However, potential limitations require the interpretation of FFRCT in conjunction with clinical context.
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Affiliation(s)
- Anahita Tavoosi
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Yoshito Kadoya
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Aun Yeong Chong
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Gary R Small
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada
| | - Benjamin J W Chow
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada.
- Department of Radiology, University of Ottawa, Ottawa, Canada.
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19
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Bergamaschi L, Pavon AG, Angeli F, Tuttolomondo D, Belmonte M, Armillotta M, Sansonetti A, Foà A, Paolisso P, Baggiano A, Mushtaq S, De Zan G, Carriero S, Cramer MJ, Teske AJ, Broekhuizen L, van der Bilt I, Muscogiuri G, Sironi S, Leo LA, Gaibazzi N, Lovato L, Pontone G, Pizzi C, Guglielmo M. The Role of Non-Invasive Multimodality Imaging in Chronic Coronary Syndrome: Anatomical and Functional Pathways. Diagnostics (Basel) 2023; 13:2083. [PMID: 37370978 DOI: 10.3390/diagnostics13122083] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/10/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Coronary artery disease (CAD) is one of the major causes of mortality and morbidity worldwide, with a high socioeconomic impact. Currently, various guidelines and recommendations have been published about chronic coronary syndromes (CCS). According to the recent European Society of Cardiology guidelines on chronic coronary syndrome, a multimodal imaging approach is strongly recommended in the evaluation of patients with suspected CAD. Today, in the current practice, non-invasive imaging methods can assess coronary anatomy through coronary computed tomography angiography (CCTA) and/or inducible myocardial ischemia through functional stress testing (stress echocardiography, cardiac magnetic resonance imaging, single photon emission computed tomography-SPECT, or positron emission tomography-PET). However, recent trials (ISCHEMIA and REVIVED) have cast doubt on the previous conception of the management of patients with CCS, and nowadays it is essential to understand the limitations and strengths of each imaging method and, specifically, when to choose a functional approach focused on the ischemia versus a coronary anatomy-based one. Finally, the concept of a pathophysiology-driven treatment of these patients emerged as an important goal of multimodal imaging, integrating 'anatomical' and 'functional' information. The present review aims to provide an overview of non-invasive imaging modalities for the comprehensive management of CCS patients.
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Affiliation(s)
- Luca Bergamaschi
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Anna Giulia Pavon
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Francesco Angeli
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Domenico Tuttolomondo
- Department of Cardiology, Parma University Hospital, Viale Antonio Gramsci 14, 43126 Parma, Italy
| | - Marta Belmonte
- Cardiovascular Center Aalst, OLV-Clinic, 9300 Aalst, Belgium
- Department of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy
| | - Matteo Armillotta
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Angelo Sansonetti
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Alberto Foà
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Pasquale Paolisso
- Department of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy
| | - Andrea Baggiano
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Saima Mushtaq
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Giulia De Zan
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Serena Carriero
- Postgraduate School of Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy
| | - Maarten-Jan Cramer
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Arco J Teske
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Lysette Broekhuizen
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Ivo van der Bilt
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 GM The Hague, The Netherlands
| | - Giuseppe Muscogiuri
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, 20149 Milan, Italy
| | - Sandro Sironi
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, 24127 Bergamo, Italy
| | - Laura Anna Leo
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete, 48, 6900 Lugano, Switzerland
| | - Nicola Gaibazzi
- Department of Cardiology, Parma University Hospital, Viale Antonio Gramsci 14, 43126 Parma, Italy
| | - Luigi Lovato
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
| | - Gianluca Pontone
- Perioperative and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
| | - Carmine Pizzi
- Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC-Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy
| | - Marco Guglielmo
- Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 GM The Hague, The Netherlands
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20
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Groenhoff L, De Zan G, Costantini P, Siani A, Ostillio E, Carriero S, Muscogiuri G, Bergamaschi L, Patti G, Pizzi C, Sironi S, Pavon AG, Carriero A, Guglielmo M. The Non-Invasive Diagnosis of Chronic Coronary Syndrome: A Focus on Stress Computed Tomography Perfusion and Stress Cardiac Magnetic Resonance. J Clin Med 2023; 12:jcm12113793. [PMID: 37297986 DOI: 10.3390/jcm12113793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Coronary artery disease is still a major cause of death and morbidity worldwide. In the setting of chronic coronary disease, demonstration of inducible ischemia is mandatory to address treatment. Consequently, scientific and technological efforts were made in response to the request for non-invasive diagnostic tools with better sensitivity and specificity. To date, clinicians have at their disposal a wide range of stress-imaging techniques. Among others, stress cardiac magnetic resonance (S-CMR) and computed tomography perfusion (CTP) techniques both demonstrated their diagnostic efficacy and prognostic value in clinical trials when compared to other non-invasive ischemia-assessing techniques and invasive fractional flow reserve measurement techniques. Standardized protocols for both S-CMR and CTP usually imply the administration of vasodilator agents to induce hyperemia and contrast agents to depict perfusion defects. However, both methods have their own limitations, meaning that optimizing their performance still requires a patient-tailored approach. This review focuses on the characteristics, drawbacks, and future perspectives of these two techniques.
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Affiliation(s)
- Léon Groenhoff
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Giulia De Zan
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
- Department of Cardiology, Division of Heart and Lungs, Utrecht University Medical Center, 3584 CX Utrecht, The Netherlands
| | - Pietro Costantini
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Agnese Siani
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Eleonora Ostillio
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Serena Carriero
- Postgraduate School in Radiodiagnostics, University of Milan, 20122 Milan, Italy
| | - Giuseppe Muscogiuri
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, 20149 Milan, Italy
- School of Medicine, University of Milano-Bicocca, 20900 Monza, Italy
| | - Luca Bergamaschi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Giuseppe Patti
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Carmine Pizzi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, 20900 Monza, Italy
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Anna Giulia Pavon
- Cardiovascular Department, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland
| | | | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University Medical Center, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 AA The Hague, The Netherlands
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21
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Serruys PW, Kotoku N, Nørgaard BL, Garg S, Nieman K, Dweck MR, Bax JJ, Knuuti J, Narula J, Perera D, Taylor CA, Leipsic JA, Nicol ED, Piazza N, Schultz CJ, Kitagawa K, Bruyne BD, Collet C, Tanaka K, Mushtaq S, Belmonte M, Dudek D, Zlahoda-Huzior A, Tu S, Wijns W, Sharif F, Budoff MJ, Mey JD, Andreini D, Onuma Y. Computed tomographic angiography in coronary artery disease. EUROINTERVENTION 2023; 18:e1307-e1327. [PMID: 37025086 PMCID: PMC10071125 DOI: 10.4244/eij-d-22-00776] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 11/14/2022] [Indexed: 04/05/2023]
Abstract
Coronary computed tomographic angiography (CCTA) is becoming the first-line investigation for establishing the presence of coronary artery disease and, with fractional flow reserve (FFRCT), its haemodynamic significance. In patients without significant epicardial obstruction, its role is either to rule out atherosclerosis or to detect subclinical plaque that should be monitored for plaque progression/regression following prevention therapy and provide risk classification. Ischaemic non-obstructive coronary arteries are also expected to be assessed by non-invasive imaging, including CCTA. In patients with significant epicardial obstruction, CCTA can assist in planning revascularisation by determining the disease complexity, vessel size, lesion length and tissue composition of the atherosclerotic plaque, as well as the best fluoroscopic viewing angle; it may also help in selecting adjunctive percutaneous devices (e.g., rotational atherectomy) and in determining the best landing zone for stents or bypass grafts.
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Affiliation(s)
| | - Nozomi Kotoku
- Department of Cardiology, University of Galway, Galway, Ireland
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, UK
| | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Juhani Knuuti
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Divaka Perera
- School of Cardiovascular Medicine and Sciences, British Heart Foundation Centre of Research Excellence, King's College London, London, UK
| | | | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Edward D Nicol
- Royal Brompton Hospital, London, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Nicolo Piazza
- Department of Medicine, Division of Cardiology, McGill University Health Center, Montreal, Quebec, Canada
| | - Carl J Schultz
- Division of Internal Medicine, Medical School, University of Western Australia, Perth, WA, Australia
- Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Mie, Japan
| | - Bernard De Bruyne
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
- Department of Cardiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Carlos Collet
- Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium
| | - Kaoru Tanaka
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | | | | | - Darius Dudek
- Szpital Uniwersytecki w Krakowie, Krakow, Poland
| | - Adriana Zlahoda-Huzior
- Digital Innovations & Robotics Hub, Krakow, Poland
- Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland
| | - Shengxian Tu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - William Wijns
- Department of Cardiology, University of Galway, Galway, Ireland
- The Lambe Institute for Translational Medicine, The Smart Sensors Laboratory and CURAM, Galway, University of Galway, Galway, Ireland
| | - Faisal Sharif
- Department of Cardiology, University of Galway, Galway, Ireland
| | - Matthew J Budoff
- Division of Cardiology, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Johan de Mey
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant'Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Yoshinobu Onuma
- Department of Cardiology, University of Galway, Galway, Ireland
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22
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Intravascular Imaging-Based Physiologic Assessment. Interv Cardiol Clin 2023; 12:289-298. [PMID: 36922069 DOI: 10.1016/j.iccl.2022.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Intravascular imaging (IVI), including intravascular ultrasound (IVUS) and optical coherence tomography (OCT), is clinically useful for assessing the luminal size, lesion length, and plaque characteristics, as well as for evaluating stent deployment; however, it is not designed to estimate myocardial ischemia accurately. Thus, several types of IVI-derived fractional flow reserve (FFR) (IVI-derived FFR) have been developed and reported. In general, the algorithms of virtual FFR are based on basic fluid dynamics equations (mainly Poiseuille and Borda-Carnot equations) and original microvascular models (fixed velocity or calculating coronary flow reserve). Although the models and assumptions used in the past reports were mostly based on the standard population (not independent patient data), the developed software calculated FFR with high accuracy (88% to 94%) with strong correlations between IVI-derived FFR and wire-based FFR (0.69 to 0.89). Given several other less invasive virtual FFR methods currently available for clinical use, IVI-derived FFR would be limited for the sole use of pre-percutaneous coronary intervention (PCI) physiological evaluation; however, it may play a unique role at PCI guidance and optimization, potentially allowing comprehensive and time/cost-saving assessment of both anatomical and physiological lesion properties using a single diagnostic device.
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23
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Sliwicka O, Swiderska-Chadaj Z, Snoeren M, Brink M, Salah K, Peters-Bax L, Stille T, van Amerongen MJ, Sechopoulos I, Habets J. Multireader image quality evaluation of dynamic myocardial computed tomography perfusion imaging with a novel four-dimensional noise reduction filter. Acta Radiol 2023; 64:999-1006. [PMID: 35765201 DOI: 10.1177/02841851221108804] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND Dynamic myocardial computed tomography perfusion (CTP) is a novel technique able to depict cardiac ischemia. PURPOSE To evaluate the impact of a four-dimensional noise reduction filter (similarity filter [4D-SF]) on image quality in dynamic CTP imaging, allowing for substantial radiation dose reduction. MATERIAL AND METHODS Dynamic CTP datasets of 30 patients (16 women) with suspected coronary artery disease, acquired with a 320-slice CT system, were retrieved, reconstructed with the deep learning-based algorithm of the system (DLR), and filtered with the 4D-SF. For each case, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in six regions of interest (33-38mm2) were calculated before and after filtering, in four-chamber and short-axis views, and t-tested. Furthermore, six radiologists of different expertise evaluated subjective image preference by answering five visual grading analysis-type questions (regarding acceptable level of noise, absence of artifacts, natural appearance, cardiac contour sharpness, diagnostic acceptability) using a 5-point scale. The results were analyzed using visual grade characteristics (VGC) and intraclass correlation coefficient (ICC). RESULTS Mean SNR in four-chamber view (unfiltered vs. filtered) were: septum=4.1 ± 2.1 versus 7.6 ± 5.6; lateral wall=4.5 ± 2.0 versus 8.0 ± 4.9; CNRseptum=16.6 ± 8.9 versus 31.7 ± 28; lateral wall=16.2 ± 8.9 versus 31.3 ± 28.9. Similar results were obtained in short-axis view. The perceived filtered image quality indicated decreased noise (VGCAUC=0.96) and artifacts (0.65), improved natural appearance (0.59), cardiac contour sharpness (0.74), and diagnostic acceptability (0.78). The inter-observer variability was excellent (ICC=0.79). All results were statistically significant (P < 0.05). CONCLUSION Similarity filtering after DLR improves image quality, possibly enabling dose reduction in dynamic CTP imaging in patient with suspected chronic coronary syndrome.
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Affiliation(s)
- Olga Sliwicka
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Miranda Snoeren
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Monique Brink
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Khibar Salah
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Liesbeth Peters-Bax
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tip Stille
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Ioannis Sechopoulos
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jesse Habets
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
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Yang F, Shi K, Chen Y, Yin Y, Zhao Y, Zhang T. Effect of 320-Row Computed Tomography Acquisition Technology on Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Based on Machine Learning: Systolic and Diastolic Scan Acquisition. J Comput Assist Tomogr 2023; 47:205-211. [PMID: 36877750 DOI: 10.1097/rct.0000000000001423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
BACKGROUND The aim of the study is to investigate the performance of coronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) in the same patient evaluated by different systolic and diastolic scans, aiming to explore whether 320-slice CT scanning acquisition protocol has an impact on CT-FFR value. METHODS One hundred forty-six patients with suspected coronary artery stenosis who underwent CCTA examination were included into the study. The prospective electrocardiogram gated trigger sequence scan was performed and electrocardiogram editors selected 2 optimal phases of systolic phase (preset collection trigger at 25% of R-R interval) and diastolic phase (preset collection trigger at 75% of R-R interval) for reconstruction. The lowest CT-FFR value (the CT-FFR value at the distal end of each vessel) and the lesion CT-FFR value (at 2 cm distal to the stenosis) after coronary artery stenosis were calculated for each vessel. The difference of CT-FFR values between the 2 scanning techniques was compared using paired Wilcoxon signed-rank test. Pearson correlation value and Bland-Altman were performed to evaluate the consistency of CT-FFR values. RESULTS A total of 366 coronary arteries from the remaining 122 patients were analyzed. There was no significant difference regarding the lowest CT-FFR values between systole phase and diastole phase across all vessels. In addition, there was no significant difference in the lesion CT-FFR value after coronary artery stenosis between systole phase and diastole phase across all vessels. The CT-FFR value between the 2 reconstruction techniques had excellent correlation and minimal bias in all groups. The correlation coefficient of the lesion CT-FFR values for left anterior descending branch, left circumflex branch, and right coronary artery were 0.86, 0.84, and 0.76, respectively. CONCLUSIONS Coronary computed tomography angiography-derived fractional flow reserve based on artificial intelligence deep learning neural network has stable performance, is not affected by the acquisition phase technology of 320-slice CT scan, and has high consistency with the evaluation of hemodynamics after coronary artery stenosis.
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Affiliation(s)
- Fengfeng Yang
- From the Department of Radiology, The Second Hospital of Tianjin Medical University, Tianjin
| | - Ke Shi
- Department of Radiology, The Fourth Affiliated Hospital, Harbin Medical University, Harbin
| | | | | | - Yang Zhao
- From the Department of Radiology, The Second Hospital of Tianjin Medical University, Tianjin
| | - Tong Zhang
- Department of Radiology, The Fourth Affiliated Hospital, Harbin Medical University, Harbin
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Ihdayhid AR, Lan NSR, Figtree GA, Patel S, Arnott C, Hamilton-Craig C, Psaltis PJ, Leipsic J, Fairbairn T, Wahi S, Hillis GS, Rankin JM, Dwivedi G, Nicholls SJ. Contemporary Chest Pain Evaluation: The Australian Case for Cardiac CT. Heart Lung Circ 2023; 32:297-306. [PMID: 36610819 DOI: 10.1016/j.hlc.2022.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/07/2022] [Accepted: 12/06/2022] [Indexed: 01/07/2023]
Abstract
Computed tomography coronary angiography (CTCA) is a non-invasive diagnostic modality that provides a comprehensive anatomical assessment of the coronary arteries and coronary atherosclerosis, including plaque burden, composition and morphology. The past decade has witnessed an increase in the role of CTCA for evaluating patients with both stable and acute chest pain, and recent international guidelines have provided increasing support for a first line CTCA diagnostic strategy in select patients. CTCA offers some advantages over current functional tests in the detection of obstructive and non-obstructive coronary artery disease, as well as for ruling out obstructive coronary artery disease. Recent randomised trials have also shown that CTCA improves prognostication and guides the use of guideline-directed preventive therapies, leading to improved clinical outcomes. CTCA technology advances such as fractional flow reserve, plaque quantification and perivascular fat inflammation potentially allow for more personalised risk assessment and targeted therapies. Further studies evaluating demand, supply, and cost-effectiveness of CTCA for evaluating chest pain are required in Australia. This discussion paper revisits the evidence supporting the use of CTCA, provides an overview of its implications and limitations, and considers its potential role for chest pain evaluation pathways in Australia.
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Affiliation(s)
- Abdul Rahman Ihdayhid
- Department of Cardiology, Fiona Stanley Hospital, Perth, WA, Australia; Harry Perkins Institute of Medical Research, Curtin University, Perth, WA, Australia.
| | - Nick S R Lan
- Department of Cardiology, Fiona Stanley Hospital, Perth, WA, Australia; Harry Perkins Institute of Medical Research, University of Western Australia, Perth, WA, Australia
| | - Gemma A Figtree
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Kolling Institute of Medical Research, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Sanjay Patel
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Clare Arnott
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Cardiovascular Division, The George Institute for Global Health, Sydney, NSW, Australia
| | | | - Peter J Psaltis
- Department of Cardiology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia
| | - Jonathon Leipsic
- University of British Columbia, St Paul's Hospital, Vancouver, Canada
| | | | - Sudhir Wahi
- Princess Alexandra Hospital, University of Queensland, Brisbane, Qld, Australia
| | - Graham S Hillis
- Department of Cardiology and University of Western Australia, Royal Perth Hospital, Perth, WA, Australia
| | - James M Rankin
- Department of Cardiology, Fiona Stanley Hospital, Perth, WA, Australia
| | - Girish Dwivedi
- Department of Cardiology, Fiona Stanley Hospital, Perth, WA, Australia; Harry Perkins Institute of Medical Research, University of Western Australia, Perth, WA, Australia
| | - Stephen J Nicholls
- Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University, Melbourne, Vic, Australia
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Xie Z, Wu T, Mu J, Zhang P, Wang X, Liang T, Weng Y, Luo J, Yu H. Influence of Left Ventricular Diastolic Dysfunction on the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve. J Clin Med 2023; 12:jcm12051724. [PMID: 36902511 PMCID: PMC10003343 DOI: 10.3390/jcm12051724] [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: 12/27/2022] [Revised: 02/05/2023] [Accepted: 02/19/2023] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVES Our study aimed to demonstrate the influence of left ventricular (LV) diastolic dysfunction on the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR). METHODS One hundred vessels from 90 patients were retrospectively analyzed. All patients underwent echocardiography, coronary computed tomography angiography (CCTA), CT-FFR, invasive coronary angiography (ICA), and fractional flow reserve (FFR). The study population was divided into normal and dysfunction groups according to the LV diastolic function, and the diagnostic performance in both groups was assessed. RESULTS There was a good correlation between CT-FFR and FFR (R = 0.768 p < 0.001) on a per-vessel basis. The sensitivity, specificity, and accuracy were 82.3%, 81.8%, and 82%, respectively. The sensitivity, specificity, and accuracy were 84.6%, 88.5%, and 87.2% in the normal group and 81%, 77.5%, and 78.7% in the dysfunction group, respectively. CT-FFR showed no statistically significant difference in the AUC in the normal group vs. the dysfunction group (AUC: 0.920 [95% CI 0.787-0.983] vs. 0.871 [95% CI 0.761-0.943], Z = 0.772 p = 0.440). However, there was still a good correlation between CT-FFR and FFR in the normal group (R = 0.767, p < 0.001) and dysfunction group (R = 0.767 p < 0.001). CONCLUSIONS LV diastolic dysfunction had no effect on the diagnostic accuracy of CT-FFR. CT-FFR has good diagnostic performance in both LV diastolic dysfunction and the normal group and can be used as an effective tool for finding lesion-specific ischemia while screening for arterial disease in patients.
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Affiliation(s)
- Zhixin Xie
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangzhou 510080, China
| | - Tianlong Wu
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangzhou 510080, China
| | - Jing Mu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangzhou 510080, China
| | - Ping Zhang
- Department of Cardiology, Shenzhen Hospital, Southern Medical University, Shenzhen 518000, China
| | - Xuan Wang
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Tao Liang
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Yihan Weng
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangzhou 510080, China
- Shantou University Medical College, Shantou 515041, China
| | - Jianfang Luo
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangzhou 510080, China
| | - Huimin Yu
- Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangzhou 510080, China
- Department of Cardiology, Guangdong Provincial People’s Hospital’s Nanhai Hospital, Foshan 528000, China
- Correspondence:
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Can smoking cause impotence? a radiological retrospective cohort study comparing internal pudendal artery calcification on CT in male smokers versus non-smokers. Ir J Med Sci 2023; 192:377-381. [PMID: 35178666 PMCID: PMC9892081 DOI: 10.1007/s11845-022-02948-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/03/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND AND AIMS This retrospective cohort study evaluated the degree of pelvic inflow and internal pudendal artery (IPA) calcification in male smokers versus non-smokers. As erectile dysfunction (ED) is strongly associated with IPA vascular, we wanted to investigate radiologically if there was a statistically significant difference in the degree of IPA calcification in smokers and potentially be a contributing factor in the cause of ED. METHODS CT studies of 100 men aged between 40 and 60 years of age were blindly reviewed and assigned a calcium score of their vascular calcification levels. We compared scores of 50 smokers versus 50 non-smokers. The Mann Whitney U test statistic was used to test for a statistical difference in calcification score between the smoking and non-smoking groups. RESULTS Results show a statistically significant association between smoking and pelvic inflow and IPA calcification. The Mann Whitney U test demonstrated a statistically significant higher calcium score in the smoking group (mean = 4.8, SD 3.7), versus the non-smoking group, (mean = 1.8, SD 1.9) (U = 701.5, p < 0.05). CONCLUSIONS This research is the first of its kind based on an extensive literature review. The association between vascular calcification and smoking is well established, in addition to the direct relationship of IPA calcification and ED. This unique study has demonstrated an increased rate of IPA calcification in smokers with a potential inferred association with ED. Findings represent a novel and useful deterrent for health authorities to include in anti-smoking campaigns.
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Assessment of the Efficiency of Non-Invasive Diagnostic Imaging Modalities for Detecting Myocardial Ischemia in Patients Suspected of Having Stable Angina. Healthcare (Basel) 2022; 11:healthcare11010023. [PMID: 36611483 PMCID: PMC9818638 DOI: 10.3390/healthcare11010023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
This study aimed to assess and compare the efficiency of non-invasive imaging modalities in detecting myocardial ischemia in patients with suspected stable angina as easy-to-understand indices. Our study included 1000 patients with chest pain and possible stable myocardial ischemia. The modalities to be assessed were cardiac magnetic resonance imaging (CMRI), single-photon emission computed tomography, positron emission computed tomography (PET), stress echocardiography, and fractional flow reserve derived from coronary computed tomography angiography (FFRCT). As a simulation study, we assumed that all five imaging modalities were performed on these patients, and a decision tree analysis was conducted. From the results, the following efficiencies were assessed and compared: (1) number of true positive (TP), false positive (FP), false negative (FN), and true negative (TN) test results; (2) positive predictive value (PPV); (3) negative predictive value (NPV); (4) post-test probability; (5) diagnostic accuracy (DA); and (6) number needed to diagnose (NND). In the basic settings (pre-test probability: 30%), PET generated the highest TP (267) and NPV (95%, 95% confidence interval (CI): 93-96%). In contrast, CMRI produced the highest TN (616), PPV (76%, 95% CI: 71-80%), and DA (88%, 95% CI: 86-90%) and the lowest NND (1.33, 95% CI: 1.24-1.47). Although FFRCT generated the highest TP (267) and lowest FN (33), it generated the highest FP (168). In terms of detecting myocardial ischemia, compared with the other modalities, PET and CMRI were more efficient. The results of our study might be helpful for both patients and medical professionals associated with their examination.
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Canan A, Barbosa MF, Nomura CH, Abbara S, Kay FU. Cardiac CT Perfusion Imaging. CURRENT RADIOLOGY REPORTS 2022. [DOI: 10.1007/s40134-022-00406-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ahres A, Simon J, Jablonkai B, Nagybaczoni B, Baranyai T, Apor A, Kolossvary M, Merkely B, Maurovich-Horvat P, Szilveszter B, Andrassy P. Diagnostic Performance of On-Site Computed Tomography Derived Fractional Flow Reserve on Non-Culprit Coronary Lesions in Patients with Acute Coronary Syndrome. Life (Basel) 2022; 12:life12111820. [PMID: 36362974 PMCID: PMC9698642 DOI: 10.3390/life12111820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 11/01/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022] Open
Abstract
The role of coronary computed tomography angiography (CCTA) derived fractional flow reserve (CT-FFR) in the assessment of non-culprit lesions (NCL) in patients with acute coronary syndrome (ACS) is debated. In this prospective clinical study, a total of 68 ACS patients with 89 moderate (30−70% diameter stenosis) NCLs were enrolled to evaluate the diagnostic accuracy of on-site CT-FFR compared to invasive fractional flow reserve (FFRi) and dobutamine stress echocardiography (DSE) as reference standards. CT-FFR and FFRi values ≤0.80, as well as new or worsening wall motion abnormality in ≥2 contiguous segments on the supplying area of an NCL on DSE, were considered positive for ischemia. Sensitivity, specificity, positive, and negative predictive value of CT-FFR relative to FFRi and DSE were 51%, 89%, 75%, and 74% and 37%, 77%, 42%, and 74%, respectively. CT-FFR value (β = 0.334, p < 0.001) and CT-FFR drop from proximal to distal measuring point [(CT-FFR drop), β = −0.289, p = 0.002)] were independent predictors of FFRi value in multivariate linear regression analysis. Based on comparing their receiver operating characteristics area under the curve (AUC) values, CT-FFR value and CT-FFR drop provided better discriminatory power than CCTA-based minimal lumen diameter stenosis to distinguish between an NCL with positive and negative FFRi [0.77 (95% Confidence Intervals, CI: 0.67−0.86) and 0.77 (CI: 0.67−0.86) vs. 0.63 (CI: 0.52−0.73), p = 0.029 and p = 0.043, respectively]. Neither CT-FFR value nor CT-FFR drop was predictive of regional wall motion score index at peak stress (β = −0.440, p = 0.441 and β = 0.403, p = 0.494) or was able to confirm ischemia on the territory of an NCL revealed by DSE (AUC = 0.54, CI: 0.43−0.64 and AUC = 0.55, CI: 0.44−0.65, respectively). In conclusion, on-site CT-FFR is superior to conventional CCTA-based anatomical analysis in the assessment of moderate NCLs; however, its diagnostic capacity is not sufficient to make it a gatekeeper to invasive functional evaluation. Moreover, based on its comparison with DSE, CT-FFR might not yield any information on the microvascular dysfunction in the territory of an NCL.
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Affiliation(s)
- Abdelkrim Ahres
- Department of Cardiology, Bajcsy-Zsilinszky Hospital, Maglodi Rd. 89-91., H-1106 Budapest, Hungary
| | - Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Varosmajor Str. 68., H-1222 Budapest, Hungary
- Medical Imaging Center, Semmelweis University, Ulloi Rd. 78a., H-1082 Budapest, Hungary
| | - Balazs Jablonkai
- Department of Cardiology, Bajcsy-Zsilinszky Hospital, Maglodi Rd. 89-91., H-1106 Budapest, Hungary
| | - Bela Nagybaczoni
- Department of Cardiology, Bajcsy-Zsilinszky Hospital, Maglodi Rd. 89-91., H-1106 Budapest, Hungary
| | - Tamas Baranyai
- Department of Cardiology, Bajcsy-Zsilinszky Hospital, Maglodi Rd. 89-91., H-1106 Budapest, Hungary
| | - Astrid Apor
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Varosmajor Str. 68., H-1222 Budapest, Hungary
| | - Marton Kolossvary
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Varosmajor Str. 68., H-1222 Budapest, Hungary
| | - Bela Merkely
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Varosmajor Str. 68., H-1222 Budapest, Hungary
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Varosmajor Str. 68., H-1222 Budapest, Hungary
- Medical Imaging Center, Semmelweis University, Ulloi Rd. 78a., H-1082 Budapest, Hungary
| | - Balint Szilveszter
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Varosmajor Str. 68., H-1222 Budapest, Hungary
| | - Peter Andrassy
- Department of Cardiology, Bajcsy-Zsilinszky Hospital, Maglodi Rd. 89-91., H-1106 Budapest, Hungary
- Correspondence: ; Tel.: +36-1-432-7644; Fax: +36-1-432-7501
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Al Rifai M, Ahmed AI, Alahdab F, Al-Mallah MH. Clinical utility of coronary artery computed tomography angiography- What we know and What's new? Prog Cardiovasc Dis 2022; 75:12-20. [PMID: 36336026 DOI: 10.1016/j.pcad.2022.10.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
Coronary computed tomography (CT) angiography (CCTA) is increasingly recognized for diagnosing obstructive coronary artery disease (CAD) among patients presenting with chest pain. In this review, we summarize the utility of CCTA to determine luminal stenosis and identifying coronary plaques with high-risk features. We review different scoring systems that can quantify total plaque burden including how artificial intelligence can facilitate more detailed plaque assessment. We discuss how CCTA can also be used to detect the hemodynamic significance of CAD lesions (fractional flow reserve CT and CT perfusion) and also local factors outside the vessel wall that may predispose to plaque rupture (fat attenuation index and wall shear stress). We conclude with technological advances in imaging acquisition using photon counting CT and post-image processing techniques especially those that can mitigate blooming artifacts.
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Affiliation(s)
- Mahmoud Al Rifai
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | | | - Fares Alahdab
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
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Hamilton MCK, Charters PFP, Lyen S, Harries IB, Armstrong L, Richards GHC, Strange JW, Johnson T, Manghat NE. Computed tomography-derived fractional flow reserve (FFR CT) has no additional clinical impact over the anatomical Coronary Artery Disease - Reporting and Data System (CAD-RADS) in real-world elective healthcare of coronary artery disease. Clin Radiol 2022; 77:883-890. [PMID: 35985847 DOI: 10.1016/j.crad.2022.05.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 05/22/2022] [Accepted: 05/30/2022] [Indexed: 02/08/2023]
Abstract
AIM To evaluate the impact of computed tomography-derived fractional flow reserve (FFRCT) compared to the anatomical Coronary Artery Disease - Reporting and Data System (CAD-RADS) in the elective assessment of coronary artery disease in real-world cardiology practise. MATERIALS AND METHODS A retrospective review was undertaken of 1,239 coronary CT examinations from August 2018 to December 2019 with a minimum follow-up period of 1 year. Coronary disease was classified according to the CAD-RADS system. A non-occlusive ≥30% maximum diameter stenosis was considered eligible for FFRCT. Lesion-specific FFRCT and FFR were considered positive if ≤ 0.80. The patients were followed up using the hospital radiology information system and the electronic patient record. A positive outcome was defined by a subsequent invasive angiogram (ICA) showing disease requiring revascularisation or FFR ≤0.80 or a positive stress test or medical therapy for angina in CAD-RADS 4. RESULTS Of the 1,145 analysable studies (mean follow up 618 ± 153 days) the incidence of a positive result was 7% with a 5.4% elective revascularisation rate. Two hundred and forty-five patients (CAD-RADS 2-4) had FFRCT. FFRCT reduced the accuracy of the CAD-RADS grade from 91% to 78.4% (p<0.001). In CAD-RADS 2, the accuracy is reduced from 99% to 90.7% (p=0.005), and in CAD-RADS 3 from 93.9% to 67.7% (p<0.001). In CAD-RADS 4, FFRCT increases accuracy from 69.4% to 75.5% (p=0.025), but 89.8% of FFRCT are positive and specificity is low (26.7%). CONCLUSION In the present "real-world" practise, FFRCT does not improve standard radiological assessment of coronary disease graded by the CAD-RADS alone.
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Affiliation(s)
- M C K Hamilton
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
| | - P F P Charters
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - S Lyen
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - I B Harries
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK; Department of Cardiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - L Armstrong
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - G H C Richards
- Department of Cardiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - J W Strange
- Department of Cardiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - T Johnson
- Department of Cardiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - N E Manghat
- Department of Clinical Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
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Peper J, Becker LM, van den Berg H, Bor WL, Brouwer J, Nijenhuis VJ, van Ginkel DJ, Rensing BJMW, Ten Berg JM, Timmers L, Leiner T, Swaans MJ. Diagnostic Performance of CCTA and CT-FFR for the Detection of CAD in TAVR Work-Up. JACC Cardiovasc Interv 2022; 15:1140-1149. [PMID: 35680194 DOI: 10.1016/j.jcin.2022.03.025] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/17/2022] [Accepted: 03/15/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND The work-up for transcatheter aortic valve replacement (TAVR) currently uses computed tomography to evaluate the annulus diameter and peripheral vascular access plus invasive coronary angiography (ICA) to assess significant coronary artery disease (CAD). ICA might partially be redundant with the use of coronary computed tomography angiography (CCTA). Prior studies found an improvement of the diagnostic accuracy of CCTA with the use of computed tomography-derived fractional flow reserve (CT-FFR). OBJECTIVES The aim of this study was to assess the diagnostic performance of CT-FFR for the diagnosis of CAD in the work-up for TAVR. METHODS Consecutive patients with severe symptomatic aortic valve stenosis who underwent TAVR work-up between 2015 and 2019 were included in this retrospective cross-sectional study. All patients underwent CCTA and ICA within 3 months, and the diagnostic performance of both CCTA and CT-FFR was assessed using ICA as the reference. RESULTS Seventy-six of the 338 patients included in the analysis had ≥1 significant coronary stenosis on ICA. The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy per patient were 76.9%, 64.5%, 34.0%, 92.1%, and 66.9% for CCTA and 84.6%, 88.3%, 63.2%, 96.0%, and 87.6% for CT-FFR. The area under the receiver-operating characteristic curve was significantly different between CCTA and CT-FFR (0.84 vs 0.90, P = 0.02). A CT-FFR-guided approach could avoid ICA in 57.1% versus 43.6% of patients using CCTA. CONCLUSIONS CT-FFR significantly improves the diagnostic accuracy of CCTA without additional testing and increases the proportion of patients in whom ICA could have been safely avoided. It has the potential to be integrated in the current clinical work-up for TAVR for diagnosing stable CAD requiring treatment.
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Affiliation(s)
- Joyce Peper
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands; Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Leonie M Becker
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands; Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hans van den Berg
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Willem L Bor
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Jorn Brouwer
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Vincent J Nijenhuis
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Dirk-Jan van Ginkel
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Benno J M W Rensing
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Jurrien M Ten Berg
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Leo Timmers
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Martin J Swaans
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands
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Pontone G, Rossi A, Guglielmo M, Dweck MR, Gaemperli O, Nieman K, Pugliese F, Maurovich-Horvat P, Gimelli A, Cosyns B, Achenbach S. Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part II. Eur Heart J Cardiovasc Imaging 2022; 23:e136-e161. [PMID: 35175348 PMCID: PMC8944330 DOI: 10.1093/ehjci/jeab292] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 12/28/2021] [Indexed: 11/12/2022] Open
Abstract
Cardiac computed tomography (CT) was initially developed as a non-invasive diagnostic tool to detect and quantify coronary stenosis. Thanks to the rapid technological development, cardiac CT has become a comprehensive imaging modality which offers anatomical and functional information to guide patient management. This is the second of two complementary documents endorsed by the European Association of Cardiovascular Imaging aiming to give updated indications on the appropriate use of cardiac CT in different clinical scenarios. In this article, emerging CT technologies and biomarkers, such as CT-derived fractional flow reserve, perfusion imaging, and pericoronary adipose tissue attenuation, are described. In addition, the role of cardiac CT in the evaluation of atherosclerotic plaque, cardiomyopathies, structural heart disease, and congenital heart disease is revised.
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Affiliation(s)
- Gianluca Pontone
- Corresponding author. Tel: +39 02 58002574; Fax: +39 02 58002231. E-mail:
| | | | - Marco Guglielmo
- Centro Cardiologico Monzino IRCCS, Via C. Parea 4, 20138 Milan, Italy
| | - Marc R Dweck
- Centre for Cardiovascular Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Francesca Pugliese
- Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK,Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Alessia Gimelli
- Fondazione CNR/Regione Toscana “Gabriele Monasterio”, Pisa, Italy
| | - Bernard Cosyns
- Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Universitair ziekenhuis Brussel, Brussel, Belgium
| | - Stephan Achenbach
- Department of Cardiology, Friedrich-Alexander-University of Erlangen, Erlangen, Germany
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Zhang J, Xu K, Hu Y, Yang L, Leng X, Jin H, Tang Y, Liu X, Ye C, Guo Y, Wang L, Zhang J, Feng Y, Mou C, Tang L, Xiang J, Du C. Diagnostic performance of deep learning and computational fluid dynamics-based instantaneous wave-free ratio derived from computed tomography angiography. BMC Cardiovasc Disord 2022; 22:33. [PMID: 35120463 PMCID: PMC8817609 DOI: 10.1186/s12872-022-02469-0] [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: 10/22/2021] [Accepted: 01/13/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Both fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) are widely used to evaluate ischemia-causing coronary lesions. A new method of CT-iFR, namely AccuiFRct, for calculating iFR based on deep learning and computational fluid dynamics (CFD) using coronary computed tomography angiography (CCTA) has been proposed. In this study, the diagnostic performance of AccuiFRct was thoroughly assessed using iFR as the reference standard. METHODS Data of a total of 36 consecutive patients with 36 vessels from a single-center who underwent CCTA, invasive FFR, and iFR were retrospectively analyzed. The CT-derived iFR values were computed using a novel deep learning and CFD-based model. RESULTS Mean values of FFR and iFR were 0.80 ± 0.10 and 0.91 ± 0.06, respectively. AccuiFRct was well correlated with FFR and iFR (correlation coefficients, 0.67 and 0.68, respectively). The diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of AccuiFRct ≤ 0.89 for predicting FFR ≤ 0.80 were 78%, 73%, 81%, 73%, and 81%, respectively. Those of AccuiFRct ≤ 0.89 for predicting iFR ≤ 0.89 were 81%, 73%, 86%, 79%, and 82%, respectively. AccuiFRct showed a similar discriminant function when FFR or iFR were used as reference standards. CONCLUSION AccuiFRct could be a promising noninvasive tool for detection of ischemia-causing coronary stenosis, as well as facilitating in making reliable clinical decisions.
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Affiliation(s)
- Jingyuan Zhang
- Department of Medicine, The Second College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Kun Xu
- Department of Medicine, The Second College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yumeng Hu
- ArteryFlow Technology Co., Ltd., 459 Qianmo Road, Hangzhou, 310051, China
| | - Lin Yang
- Department of Geriatrics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaochang Leng
- ArteryFlow Technology Co., Ltd., 459 Qianmo Road, Hangzhou, 310051, China
| | - Hongfeng Jin
- Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China
| | - Yiming Tang
- Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China
| | - Xiaowei Liu
- Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China
| | - Chen Ye
- Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China
| | - Yitao Guo
- Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China
| | - Lei Wang
- Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China
| | - Jianjun Zhang
- Department of Radiology, Zhejiang Hospital, Hangzhou, China
| | - Yue Feng
- Department of Radiology, Zhejiang Hospital, Hangzhou, China
| | - Caiyun Mou
- Department of Radiology, Zhejiang Hospital, Hangzhou, China
| | - Lijiang Tang
- Department of Medicine, The Second College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China. .,Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China.
| | - Jianping Xiang
- ArteryFlow Technology Co., Ltd., 459 Qianmo Road, Hangzhou, 310051, China.
| | - Changqing Du
- Department of Medicine, The Second College of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China. .,Department of Cardiology, Zhejiang Hospital, Hangzhou, 310013, China.
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Preuß D, Garcia G, Laule M, Dewey M, Rief M. Myocardial CT perfusion imaging for the detection of obstructive coronary artery disease: multisegment reconstruction does not improve diagnostic performance. Eur Radiol Exp 2022; 6:5. [PMID: 35099638 PMCID: PMC8804122 DOI: 10.1186/s41747-021-00256-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 12/02/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Multisegment reconstruction (MSR) was introduced to shorten the temporal reconstruction window of computed tomography (CT) and thereby reduce motion artefacts. We investigated whether MSR of myocardial CT perfusion (CTP) can improve diagnostic performance in detecting obstructive coronary artery disease (CAD) compared with halfscan reconstruction (HSR). METHODS A total of 134 patients (median age 65.7 years) with clinical indication for invasive coronary angiography and without cardiac surgery prospectively underwent static CTP. In 93 patients with multisegment acquisition, we retrospectively performed both MSR and HSR and searched both reconstructions for perfusion defects. Subgroups with known (n = 68) or suspected CAD (n = 25) and high heart rate (n = 30) were analysed. The area under the curve (AUC) was compared applying DeLong approach using ≥ 50% stenosis on invasive coronary angiography as reference standard. RESULTS Per-patient analysis revealed the overall AUC of MSR (0.65 [95% confidence interval 0.53, 0.78]) to be inferior to that of HSR (0.79 [0.69, 0.88]; p = 0.011). AUCs of MSR and HSR were similar in all subgroups analysed (known CAD 0.62 [0.45, 0.79] versus 0.72 [0.57, 0.86]; p = 0.157; suspected CAD 0.80 [0.63, 0.97] versus 0.89 [0.77, 1.00]; p = 0.243; high heart rate 0.46 [0.19, 0.73] versus 0.55 [0.33, 0.77]; p = 0.389). Median stress radiation dose was higher for MSR than for HSR (6.67 mSv versus 3.64 mSv, p < 0.001). CONCLUSIONS MSR did not improve diagnostic performance of myocardial CTP imaging while increasing radiation dose compared with HSR. TRIAL REGISTRATION CORE320: clinicaltrials.gov NCT00934037, CARS-320: NCT00967876.
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Affiliation(s)
- Daniel Preuß
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany
| | - Gonzalo Garcia
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany
| | - Michael Laule
- Department of Cardiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Marc Dewey
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany
| | - Matthias Rief
- Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany.
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Static CT myocardial perfusion imaging: image quality, artifacts including distribution and diagnostic performance compared to 82Rb PET. Eur J Hybrid Imaging 2022; 6:1. [PMID: 34981241 PMCID: PMC8724508 DOI: 10.1186/s41824-021-00118-x] [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: 09/11/2021] [Accepted: 11/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background Rubidium-82 positron emission tomography (82Rb PET) MPI is considered a noninvasive reference standard for the assessment of myocardial perfusion in coronary artery disease (CAD) patients. Our main goal was to compare the diagnostic performance of static rest/ vasodilator stress CT myocardial perfusion imaging (CT-MPI) to stress/ rest 82Rb PET-MPI for the identification of myocardial ischemia.
Methods Forty-four patients with suspected or diagnosed CAD underwent both static CT-MPI and 82Rb PET-MPI at rest and during pharmacological stress. The extent and severity of perfusion defects on PET-MPI were assessed to obtain summed stress score, summed rest score, and summed difference score. The extent and severity of perfusion defects on CT-MPI was visually assessed using the same grading scale. CT-MPI was compared with PET-MPI as the gold standard on a per-territory and a per-patient basis.
Results On a per-patient basis, there was moderate agreement between CT-MPI and PET-MPI with a weighted 0.49 for detection of stress induced perfusion abnormalities. Using PET-MPI as a reference, static CT-MPI had 89% sensitivity (SS), 58% specificity (SP), 71% accuracy (AC), 88% negative predictive value (NPV), and 59% positive predictive value (PPV) to diagnose stress-rest perfusion deficits on a per-patient basis. On a per-territory analysis, CT-MPI had 73% SS, 65% SP, 67% AC, 90.8% NPV, and 34% PPV to diagnose perfusion deficits. Conclusions CT-MPI has high sensitivity and good overall accuracy for the diagnosis of functionally significant CAD using 82Rb PET-MPI as the reference standard. CT-MPI may play an important role in assessing the functional significance of CAD especially in combination with CCTA.
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Peper J, Becker LM, van Kuijk JP, Leiner T, Swaans MJ. Fractional Flow Reserve: Patient Selection and Perspectives. Vasc Health Risk Manag 2021; 17:817-831. [PMID: 34934324 PMCID: PMC8684425 DOI: 10.2147/vhrm.s286916] [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: 08/13/2021] [Accepted: 11/30/2021] [Indexed: 01/10/2023] Open
Abstract
The aim of this review was to discuss the current practice and patient selection for invasive FFR, new techniques to estimate invasive FFR and future of coronary physiology tests. We elaborate on the indication and application of FFR and on the contraindications and concerns in certain patient populations.
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Affiliation(s)
- Joyce Peper
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands.,Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Leonie M Becker
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands.,Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jan-Peter van Kuijk
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Martin J Swaans
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands
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Peper J, Schaap J, Rensing BJWM, Kelder JC, Swaans MJ. Diagnostic accuracy of on-site coronary computed tomography-derived fractional flow reserve in the diagnosis of stable coronary artery disease. Neth Heart J 2021; 30:160-171. [PMID: 34910279 PMCID: PMC8881589 DOI: 10.1007/s12471-021-01647-7] [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] [Accepted: 10/01/2021] [Indexed: 10/30/2022] Open
Abstract
PURPOSE Invasive fractional flow reserve (FFR), the reference standard for identifying significant coronary artery disease (CAD), can be estimated non-invasively by computed tomography-derived fractional flow reserve (CT-FFR). Commercially available off-site CT-FFR showed improved diagnostic accuracy compared to coronary computed tomography angiography (CCTA) alone. However, the diagnostic performance of this lumped-parameter on-site method is unknown. The aim of this cross-sectional study was to determine the diagnostic accuracy of on-site CT-FFR in patients with suspected CAD. METHODS A total of 61 patients underwent CCTA and invasive coronary angiography with FFR measured in 88 vessels. Significant CAD was defined as FFR and CT-FFR below 0.80. CCTA with stenosis above 50% was regarded as significant CAD. The diagnostic performance of both CT-FFR and CCTA was assessed using invasive FFR as the reference standard. RESULTS Of the 88 vessels included in the analysis, 34 had an FFR of ≤ 0.80. On a per-vessel basis, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 91.2%, 81.4%, 93.6%, 75.6% and 85.2% for CT-FFR and were 94.1%, 68.5%, 94.9%, 65.3% and 78.4% for CCTA. The area under the receiver operating characteristic curve was 0.91 and 0.85 for CT-FFR and CCTA, respectively, on a per-vessel basis. CONCLUSION On-site non-invasive FFR derived from CCTA improves diagnostic accuracy compared to CCTA without additional testing and has the potential to be integrated in the current clinical work-up for diagnosing stable CAD.
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Affiliation(s)
- J Peper
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands. .,Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
| | - J Schaap
- Department of Cardiology, Amphia Hospital, Breda, The Netherlands
| | - B J W M Rensing
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - J C Kelder
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - M J Swaans
- Department of Cardiology, St. Antonius Hospital, Nieuwegein, The Netherlands
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Abstract
Coronary artery fistulas are uncommon but clinically important entities that may produce symptoms and significant complications such as angina, myocardial infarction, coronary artery aneurysm formation, and congestive heart failure. Multiple fistula types have been recognized, and classification uses factors such as etiology, coronary artery origin, and drainage site. Both invasive and noninvasive imaging play an important role in the management and treatment of these patients, and often times, more than one modality is necessary for comprehensive evaluation of coronary fistulas. Recent advances in both functional and anatomic imaging will likely also play a growing role in fistula evaluation. The purpose of this article is to review the classification, pathophysiology, clinical presentations, imaging findings, treatment, and future imaging directions of coronary artery fistulas.
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Szilveszter B, Vattay B, Bossoussou M, Vecsey-Nagy M, Simon J, Merkely B, Maurovich-Horvat P, Kolossváry M. CAD-RADS may underestimate coronary plaque progression as detected by serial CT angiography. Eur Heart J Cardiovasc Imaging 2021; 23:1530-1539. [PMID: 34687544 PMCID: PMC9584618 DOI: 10.1093/ehjci/jeab215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/11/2021] [Indexed: 11/30/2022] Open
Abstract
Aims We wished to assess whether different clinical definitions of coronary artery disease (CAD) [segment stenosis and involvement score (SSS, SIS), Coronary Artery Disease—Reporting and Data System (CAD-RADS)] affect which patients are considered to progress and which risk factors affect progression. Methods and results We enrolled 115 subsequent patients (60.1 ± 9.6 years, 27% female) who underwent serial coronary computed tomography angiography (CTA) imaging with >1year between the two examinations. CAD was described using SSS, SIS, and CAD-RADS. Linear mixed models were used to investigate the effects of risk factors on the overall amount of CAD and the effect on annual progression rate of different definitions. Coronary plaque burdens were SSS 4.63 ± 4.06 vs. 5.67 ± 5.10, P < 0.001; SIS 3.43 ± 2.53 vs. 3.89 ± 2.65, P < 0.001; CAD-RADS 0:8.7% vs. 0.0% 1:44.3% vs. 40.9%, 2:34.8% vs. 40.9%, 3:7.0% vs. 9.6% 4:3.5% vs. 6.1% 5:1.7% vs. 2.6%, P < 0.001, at baseline and follow-up, respectively. Overall, 53.0%, 29.6%, and 28.7% of patients progressed over time based on SSS, SIS, and CAD-RADS, respectively. Of the patients who progressed based on SSS, only 54% showed changes in CAD-RADS. Smoking and diabetes increased the annual progression rate of SSS by 0.37/year and 0.38/year, respectively (both P < 0.05). Furthermore, each year increase in age raised SSS by 0.12 [confidence interval (CI) 0.05–0.20, P = 0.001] and SIS 0.10 (CI 0.06–0.15, P < 0.001), while female sex was associated with 2.86 lower SSS (CI −4.52 to −1.20, P < 0.001) and 1.68 SIS values (CI −2.65 to −0.77, P = 0.001). Conclusion CAD-RADS could not capture the progression of CAD in almost half of patients with serial CTA. Differences in CAD definitions may lead to significant differences in patients who are considered to progress, and which risk factors are considered to influence progression.
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Affiliation(s)
- Bálint Szilveszter
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary
| | - Borbála Vattay
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary
| | - Melinda Bossoussou
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary
| | - Milán Vecsey-Nagy
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary
| | - Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary
| | - Béla Merkely
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary.,Medical Imaging Centre, Semmelweis University, 2 Korányi Sándor st, 1083 Budapest, Hungary
| | - Márton Kolossváry
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary
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Maragna R, Giacari CM, Guglielmo M, Baggiano A, Fusini L, Guaricci AI, Rossi A, Rabbat M, Pontone G. Artificial Intelligence Based Multimodality Imaging: A New Frontier in Coronary Artery Disease Management. Front Cardiovasc Med 2021; 8:736223. [PMID: 34631834 PMCID: PMC8493089 DOI: 10.3389/fcvm.2021.736223] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 08/25/2021] [Indexed: 12/14/2022] Open
Abstract
Coronary artery disease (CAD) represents one of the most important causes of death around the world. Multimodality imaging plays a fundamental role in both diagnosis and risk stratification of acute and chronic CAD. For example, the role of Coronary Computed Tomography Angiography (CCTA) has become increasingly important to rule out CAD according to the latest guidelines. These changes and others will likely increase the request for appropriate imaging tests in the future. In this setting, artificial intelligence (AI) will play a pivotal role in echocardiography, CCTA, cardiac magnetic resonance and nuclear imaging, making multimodality imaging more efficient and reliable for clinicians, as well as more sustainable for healthcare systems. Furthermore, AI can assist clinicians in identifying early predictors of adverse outcome that human eyes cannot see in the fog of “big data.” AI algorithms applied to multimodality imaging will play a fundamental role in the management of patients with suspected or established CAD. This study aims to provide a comprehensive overview of current and future AI applications to the field of multimodality imaging of ischemic heart disease.
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Affiliation(s)
- Riccardo Maragna
- Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Carlo Maria Giacari
- Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Marco Guglielmo
- Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Andrea Baggiano
- Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy.,Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Laura Fusini
- Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Andrea Igoren Guaricci
- Department of Emergency and Organ Transplantation, Institute of Cardiovascular Disease, University Hospital Policlinico of Bari, Bari, Italy
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.,Center for Molecular Cardiology, University Hospital Zurich, Zurich, Switzerland
| | - Mark Rabbat
- Department of Medicine and Radiology, Division of Cardiology, Loyola University of Chicago, Chicago, IL, United States.,Department of Medicine, Division of Cardiology, Edward Hines Jr. VA Hospital, Hines, IL, United States
| | - Gianluca Pontone
- Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
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Ahmed AI, Han Y, Al Rifai M, Alnabelsi T, Nabi F, Chang SM, Cocker M, Schwemmer C, Ramirez-Giraldo JC, Kleiman NS, Zoghbi WA, Mahmarian JJ, Al-Mallah MH. Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging. JACC Cardiovasc Imaging 2021; 15:284-295. [PMID: 34656489 DOI: 10.1016/j.jcmg.2021.09.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVES The aim of this study was to compare the incremental prognostic value of coronary computed tomography (CT) angiography (CCTA)-derived machine learning fractional flow reserve CT (ML-FFRct) versus that of ischemia detected on single-photon emission-computed tomography (SPECT) myocardial perfusion imaging (MPI) on incident cardiovascular outcomes. BACKGROUND SPECT MPI and ML-FFRct are noninvasive tools that can assess the hemodynamic significance of coronary atherosclerotic disease. METHODS We studied a retrospective cohort of consecutive patients who underwent clinically indicated CCTA and SPECT MPI. ML-FFRct was computed using a ML prototype. The primary outcome was all-cause mortality and nonfatal myocardial infarction (D/MI), and the secondary outcome was D/MI and unplanned revascularization, percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) occurring more than 90 days postimaging. Multiple nested multivariate cox regression was used to model a scenario wherein an initial anatomical assessment was followed by a functional assessment. RESULTS A total of 471 patients (mean age: 64 ± 13 year; 53% males) were included. Comorbidities were prevalent (78% hypertension, 66% diabetes, 81% dyslipidemia). ML-FFRct was <0.8 in at least 1 proximal/midsegment was present in 41.6% of patients, and ischemia on MPI was present in 13.8%. After a median follow-up of 18 months, 7% of patients (n = 33) experienced D/MI. On multivariate Cox proportional analysis, the presence of ischemia on MPI but not ML-FFRct significantly predicted D/MI (HR: 2.3; 95% CI: 1.0-5.0; P = 0.047; or HR: 0.7; 95% CI: 0.3-1.4; P = 0.306 respectively) when added to CCTA obstructive stenosis. Furthermore, the model with SPECT ischemia had higher global chi-square result and significantly improved reclassification. Results were similar using the secondary outcome and on several sensitivity analyses. CONCLUSIONS In a high-risk patient cohort, SPECT MPI but not ML-FFRct adds independent and incremental prognostic information to CCTA-based anatomical assessment and clinical risk factors in predicting incident outcomes.
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Affiliation(s)
| | - Yushui Han
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | | | - Talal Alnabelsi
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Faisal Nabi
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Su Min Chang
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Myra Cocker
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA; Computed Tomography-Research Collaborations, Siemens Healthineers, Malvern, Pennsylvania, USA
| | - Chris Schwemmer
- Computed Tomography-Research and Development, Siemens Healthcare GmbH, Forchheim, Germany
| | - Juan C Ramirez-Giraldo
- Computed Tomography-Research Collaborations, Siemens Healthineers, Malvern, Pennsylvania, USA
| | - Neal S Kleiman
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - William A Zoghbi
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - John J Mahmarian
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA
| | - Mouaz H Al-Mallah
- Houston Methodist Debakey Heart and Vascular Center, Houston, Texas, USA.
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Nous FMA, Geisler T, Kruk MBP, Alkadhi H, Kitagawa K, Vliegenthart R, Hell MM, Hausleiter J, Nguyen PK, Budde RPJ, Nikolaou K, Kepka C, Manka R, Sakuma H, Malik SB, Coenen A, Zijlstra F, Klotz E, van der Harst P, Artzner C, Dedic A, Pugliese F, Bamberg F, Nieman K. Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease. JACC Cardiovasc Imaging 2021; 15:75-87. [PMID: 34538630 PMCID: PMC8741746 DOI: 10.1016/j.jcmg.2021.07.021] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 07/14/2021] [Accepted: 07/21/2021] [Indexed: 11/13/2022]
Abstract
OBJECTIVES In this international, multicenter study, using third-generation dual-source computed tomography (CT), we investigated the diagnostic performance of dynamic stress CT myocardial perfusion imaging (CT-MPI) in addition to coronary CT angiography (CTA) compared to invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR). BACKGROUND CT-MPI combined with coronary CTA integrates coronary artery anatomy with inducible myocardial ischemia, showing promising results for the diagnosis of hemodynamically significant coronary artery disease in single-center studies. METHODS At 9 centers in Europe, Japan, and the United States, 132 patients scheduled for ICA were enrolled; 114 patients successfully completed coronary CTA, adenosine-stress dynamic CT-MPI, and ICA. Invasive FFR was performed in vessels with 25% to 90% stenosis. Data were analyzed by independent core laboratories. For the primary analysis, for each coronary artery the presence of hemodynamically significant obstruction was interpreted by coronary CTA with CT-MPI compared to coronary CTA alone, using an FFR of ≤0.80 and angiographic severity as reference. Territorial absolute myocardial blood flow (MBF) and relative MBF were compared using C-statistics. RESULTS ICA and FFR identified hemodynamically significant stenoses in 74 of 289 coronary vessels (26%). Coronary CTA with ≥50% stenosis demonstrated a per-vessel sensitivity, specificity, and accuracy for the detection of hemodynamically significant stenosis of 96% (95% CI: 91–100), 72% (95% CI: 66–78), and 78% (95% CI: 73–83), respectively. Coronary CTA with CT-MPI showed a lower sensitivity (84%; 95% CI: 75–92) but higher specificity (89%; 95% CI: 85–93) and accuracy (88%; 95% CI: 84–92). The areas under the receiver-operating characteristic curve of absolute MBF and relative MBF were 0.79 (95% CI: 0.71–0.86) and 0.82 (95% CI: 0.74–0.88), respectively. The median dose-length product of CT-MPI and coronary CTA were 313 mGy·cm and 138 mGy·cm, respectively. CONCLUSIONS Dynamic CT-MPI offers incremental diagnostic value over coronary CTA alone for the identification of hemodynamically significant coronary artery disease. Generalized results from this multicenter study encourage broader consideration of dynamic CT-MPI in clinical practice. (Dynamic Stress Perfusion CT for Detection of Inducible Myocardial Ischemia [SPECIFIC]; NCT02810795)
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Affiliation(s)
- Fay M A Nous
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tobias Geisler
- Department of Cardiology, University of Tuebingen, Tuebingen, Germany
| | - Mariusz B P Kruk
- Coronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Tsu, Japan
| | - Rozemarijn Vliegenthart
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Michaela M Hell
- Department of Cardiology, Faculty of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Hausleiter
- Department of Cardiology, Ludwig-Maximilians University, Munich, Germany
| | - Patricia K Nguyen
- Veterans Affairs Palo Alto Healthcare System, Cardiology Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Medicine, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford, California, USA
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Cezary Kepka
- Coronary Disease and Structural Heart Diseases Department, Institute of Cardiology, Warsaw, Poland
| | - Robert Manka
- Department of Cardiology, University Heart Center and Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Sachin B Malik
- Veterans Affairs Palo Alto Healthcare System, Thoracic and Cardiovascular Imaging Section, Palo Alto, California, USA; Stanford University, Division of Cardiovascular Imaging (Affiliated), Stanford, California, USA
| | - Adriaan Coenen
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Felix Zijlstra
- Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christoph Artzner
- Department of Cardiology, University of Tuebingen, Tuebingen, Germany
| | - Admir Dedic
- Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Francesca Pugliese
- Centre for Advanced Cardiovascular Imaging, William Harvey Research Institute, Barts National Institute for Health Research Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health National Health Service Trust, West Smithfield, London, United Kingdom
| | - Fabian Bamberg
- Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Koen Nieman
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Cardiology, Erasmus University Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands; Stanford University School of Medicine and Cardiovascular Institute, Stanford, California, USA.
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Hanson CA, Patel TR, Villines TC. The New Role of Cardiac Imaging Following the ISCHEMIA Trial. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2021; 23. [PMID: 34447240 DOI: 10.1007/s11936-021-00911-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Purpose of Review This review is aimed at summarizing the recently published ISCHEMIA trial (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) and how its findings may impact cardiac imaging for stable ischemic heart disease (SIHD) moving forward. Recent Findings The ISCHEMIA trial compared an initial invasive management strategy with goal of complete coronary revascularization versus an initial medical therapy strategy among stable patients with newly diagnosed moderate to severe myocardial ischemia on non-invasive testing. The trial results showed that an early invasive strategy did not reduce the incidence of major cardiovascular events over 3.2 years of follow-up as compared to optimal medical therapy in patients with SIHD. Summary The results of the landmark ISCHEMIA trial solidified the importance of guideline-directed medical therapy and have provided more evidence against the prevailing dogma that moderate to severe ischemia on traditional stress testing mandates coronary revascularization. This trial was not designed to compare different cardiac imaging and stress testing modalities for the assessment of coronary artery disease in patients undergoing their index evaluation for SIHD; however, its design, which included coronary computed tomographic angiography (CCTA) in most patients, and results have generated robust discussion regarding ways to improve non-invasive testing strategies in similar patient populations. We believe that increased utilization of CCTA to identify patients with and without high-risk SIHD, and advanced tests for ischemia, such as positron emission tomography and stress cardiac magnetic resonance imaging, when selected based on individual patient characteristics, may allow for improved decision-making and outcomes.
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Affiliation(s)
- Christopher A Hanson
- Division of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, Virginia
| | - Toral R Patel
- Division of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, Virginia
| | - Todd C Villines
- Division of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, Virginia
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Myocardial Perfusion and Viability Imaging in Coronary Artery Disease: Clinical Value in Diagnosis, Prognosis, and Therapeutic Guidance. Am J Med 2021; 134:968-975. [PMID: 33864764 DOI: 10.1016/j.amjmed.2021.03.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 11/22/2022]
Abstract
Coronary artery disease is a leading cause of morbidity and mortality worldwide. Noninvasive imaging tests play a significant role in diagnosing coronary artery disease, as well as risk stratification and guidance for revascularization. Myocardial perfusion imaging, including single photon emission computed tomography and positron emission tomography, has been widely employed. In this review, we will review test accuracy and clinical significance of these methods for diagnosing and managing coronary artery disease. We will further discuss the comparative usefulness of other noninvasive tests-stress echocardiography, coronary computed tomography angiography, and cardiac magnetic resonance imaging-in the evaluation of ischemia and myocardial viability.
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Serruys PW, Hara H, Garg S, Kawashima H, Nørgaard BL, Dweck MR, Bax JJ, Knuuti J, Nieman K, Leipsic JA, Mushtaq S, Andreini D, Onuma Y. Coronary Computed Tomographic Angiography for Complete Assessment of Coronary Artery Disease: JACC State-of-the-Art Review. J Am Coll Cardiol 2021; 78:713-736. [PMID: 34384554 DOI: 10.1016/j.jacc.2021.06.019] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 01/09/2023]
Abstract
Coronary computed tomography angiography (CTA) has shown great technological improvements over the last 2 decades. High accuracy of CTA in detecting significant coronary stenosis has promoted CTA as a substitute for conventional invasive coronary angiography in patients with suspected coronary artery disease. In patients with coronary stenosis, CTA-derived physiological assessment is surrogate for intracoronary pressure and velocity wires, and renders possible decision-making about revascularization solely based on computed tomography. Computed tomography coronary anatomy with functionality assessment could potentially become a first line in diagnosis. Noninvasive imaging assessment of plaque burden and morphology is becoming a valuable substitute for intravascular imaging. Recently, wall shear stress and perivascular inflammation have been introduced. These assessments could support risk management for both primary and secondary cardiovascular prevention. Anatomy, functionality, and plaque composition by CTA tend to replace invasive assessment. Complete CTA assessment could provide a 1-stop-shop for diagnosis, risk management, and decision-making on treatment.
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Affiliation(s)
- Patrick W Serruys
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland; NHLI, Imperial College London, London, United Kingdom.
| | - Hironori Hara
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland; Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands. https://twitter.com/hara_hironori
| | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, United Kingdom
| | - Hideyuki Kawashima
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland; Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Bjarne L Nørgaard
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Juhani Knuuti
- Heart Center, Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Koen Nieman
- Department of Radiology and Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Jonathon A Leipsic
- Department of Medicine and Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Yoshinobu Onuma
- Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland
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Habets J. INOCA: Role for dynamic myocardial CT perfusion and CTCA? Int J Cardiol 2021; 338:39-40. [PMID: 34089768 DOI: 10.1016/j.ijcard.2021.05.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 05/28/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Jesse Habets
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
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Bays HE, Khera A, Blaha MJ, Budoff MJ, Toth PP. Ten things to know about ten imaging studies: A preventive cardiology perspective ("ASPC top ten imaging"). Am J Prev Cardiol 2021; 6:100176. [PMID: 34327499 PMCID: PMC8315431 DOI: 10.1016/j.ajpc.2021.100176] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/16/2021] [Accepted: 03/19/2021] [Indexed: 02/07/2023] Open
Abstract
Knowing the patient's current cardiovascular disease (CVD) status, as well as the patient's current and future CVD risk, helps the clinician make more informed patient-centered management recommendations towards the goal of preventing future CVD events. Imaging tests that can assist the clinician with the diagnosis and prognosis of CVD include imaging studies of the heart and vascular system, as well as imaging studies of other body organs applicable to CVD risk. The American Society for Preventive Cardiology (ASPC) has published "Ten Things to Know About Ten Cardiovascular Disease Risk Factors." Similarly, this "ASPC Top Ten Imaging" summarizes ten things to know about ten imaging studies related to assessing CVD and CVD risk, listed in tabular form. The ten imaging studies herein include: (1) coronary artery calcium imaging (CAC), (2) coronary computed tomography angiography (CCTA), (3) cardiac ultrasound (echocardiography), (4) nuclear myocardial perfusion imaging (MPI), (5) cardiac magnetic resonance (CMR), (6) cardiac catheterization [with or without intravascular ultrasound (IVUS) or coronary optical coherence tomography (OCT)], (7) dual x-ray absorptiometry (DXA) body composition, (8) hepatic imaging [ultrasound of liver, vibration-controlled transient elastography (VCTE), CT, MRI proton density fat fraction (PDFF), magnetic resonance spectroscopy (MRS)], (9) peripheral artery / endothelial function imaging (e.g., carotid ultrasound, peripheral doppler imaging, ultrasound flow-mediated dilation, other tests of endothelial function and peripheral vascular imaging) and (10) images of other body organs applicable to preventive cardiology (brain, kidney, ovary). Many cardiologists perform cardiovascular-related imaging. Many non-cardiologists perform applicable non-cardiovascular imaging. Cardiologists and non-cardiologists alike may benefit from a working knowledge of imaging studies applicable to the diagnosis and prognosis of CVD and CVD risk - both important in preventive cardiology.
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Affiliation(s)
- Harold E. Bays
- Louisville Metabolic and Atherosclerosis Research Center, 3288 Illinois Avenue, Louisville KY 40213 USA
| | - Amit Khera
- UT Southwestern Medical Center, Dallas, TX USA
| | - Michael J. Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore MD USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA, Torrance CA USA
| | - Peter P. Toth
- CGH Medical Cener, Sterling, IL 61081 USA
- Cicarrone center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD USA
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Sirajuddin A, Mirmomen SM, Kligerman SJ, Groves DW, Burke AP, Kureshi F, White CS, Arai AE. Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings. Radiographics 2021; 41:990-1021. [PMID: 34019437 PMCID: PMC8262179 DOI: 10.1148/rg.2021200125] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Ischemic heart disease is a leading cause of death worldwide and comprises a large proportion of annual health care expenditure. Management of ischemic heart disease is now best guided by the physiologic significance of coronary artery stenosis. Invasive coronary angiography is the standard for diagnosing coronary artery stenosis. However, it is expensive and has risks including vascular access site complications and contrast material–induced nephropathy. Invasive coronary angiography requires fractional flow reserve (FFR) measurement to determine the physiologic significance of a coronary artery stenosis. Multiple noninvasive cardiac imaging modalities can also anatomically delineate or functionally assess for significant coronary artery stenosis, as well as detect the presence of myocardial infarction (MI). While coronary CT angiography can help assess the degree of anatomic stenosis, its inability to assess the physiologic significance of lesions limits its specificity. Physiologic significance of coronary artery stenosis can be determined by cardiac MR vasodilator or dobutamine stress imaging, CT stress perfusion imaging, FFR CT, PET myocardial perfusion imaging (MPI), SPECT MPI, and stress echocardiography. Clinically unrecognized MI, another clear indicator of physiologically significant coronary artery disease, is relatively common and is best evaluated with cardiac MRI. The authors illustrate the spectrum of imaging findings of ischemic heart disease (coronary artery disease, myocardial ischemia, and MI); highlight the advantages and disadvantages of the various noninvasive imaging methods used to assess ischemic heart disease, as illustrated by recent clinical trials; and summarize current indications and contraindications for noninvasive imaging techniques for detection of ischemic heart disease. Online supplemental material is available for this article. Published under a CC BY 4.0 license.
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Affiliation(s)
- Arlene Sirajuddin
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - S Mojdeh Mirmomen
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Seth J Kligerman
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Daniel W Groves
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Allen P Burke
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Faraz Kureshi
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Charles S White
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
| | - Andrew E Arai
- From the Cardiovascular and Pulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, 10 Center Dr, Building 10, Room B1D416, Bethesda, MD 20814 (A.S., S.M.M., A.E.A.); Department of Radiology, University of California San Diego, San Diego, Calif (S.J.K.); Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, Colo (D.W.G.); Department of Pathology (A.P.B.) and Department of Radiology and Nuclear Medicine (C.S.W.), School of Medicine, University of Maryland, Baltimore, Md; and St David's Healthcare and Austin Heart, Austin, Tex (F.K.)
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