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Schlattmann P, Wieske V, Bressem KK, Götz T, Schuetz GM, Andreini D, Pontone G, Alkadhi H, Hausleiter J, Zimmermann E, Gerber B, Shabestari AA, Meijs MFL, Sato A, Øvrehus KA, Jenkins SMM, Knuuti J, Hamdan A, Halvorsen BA, Mendoza-Rodriguez V, Rixe J, Wan YL, Langer C, Leschka S, Martuscelli E, Ghostine S, Tardif JC, Sánchez AR, Haase R, Dewey M. The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT). Insights Imaging 2024; 15:208. [PMID: 39143443 PMCID: PMC11324632 DOI: 10.1186/s13244-024-01702-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/01/2023] [Indexed: 08/16/2024] Open
Abstract
AIM To determine the effectiveness of functional stress testing and computed tomography angiography (CTA) for diagnosis of obstructive coronary artery disease (CAD). METHODS AND RESULTS Two-thousand nine-hundred twenty symptomatic stable chest pain patients were included in the international Collaborative Meta-Analysis of Cardiac CT consortium to compare CTA with exercise electrocardiography (exercise-ECG) and single-photon emission computed tomography (SPECT) for diagnosis of CAD defined as ≥ 50% diameter stenosis by invasive coronary angiography (ICA) as reference standard. Generalised linear mixed models were used for calculating the diagnostic accuracy of each diagnostic test including non-diagnostic results as dependent variables in a logistic regression model with random intercepts and slopes. Covariates were the reference standard ICA, the type of diagnostic method, and their interactions. CTA showed significantly better diagnostic performance (p < 0.0001) with a sensitivity of 94.6% (95% CI 92.7-96) and a specificity of 76.3% (72.2-80) compared to exercise-ECG with 54.9% (47.9-61.7) and 60.9% (53.4-66.3), SPECT with 72.9% (65-79.6) and 44.9% (36.8-53.4), respectively. The positive predictive value of CTA was ≥ 50% in patients with a clinical pretest probability of 10% or more while this was the case for ECG and SPECT at pretest probabilities of ≥ 40 and 28%. CTA reliably excluded obstructive CAD with a post-test probability of below 15% in patients with a pretest probability of up to 74%. CONCLUSION In patients with stable chest pain, CTA is more effective than functional testing for the diagnosis as well as for reliable exclusion of obstructive CAD. CTA should become widely adopted in patients with intermediate pretest probability. SYSTEMATIC REVIEW REGISTRATION PROSPERO Database for Systematic Reviews-CRD42012002780. CRITICAL RELEVANCE STATEMENT In symptomatic stable chest pain patients, coronary CTA is more effective than functional testing for diagnosis and reliable exclusion of obstructive CAD in intermediate pretest probability of CAD. KEY POINTS Coronary computed tomography angiography showed significantly better diagnostic performance (p < 0.0001) for diagnosis of coronary artery disease compared to exercise-ECG and SPECT. The positive predictive value of coronary computed tomography angiography was ≥ 50% in patients with a clinical pretest probability of at least 10%, for ECG ≥ 40%, and for SPECT 28%. Coronary computed tomography angiography reliably excluded obstructive coronary artery disease with a post-test probability of below 15% in patients with a pretest probability of up to 74%.
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Affiliation(s)
- Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences, and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Viktoria Wieske
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Keno K Bressem
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Theresa Götz
- Institute of Medical Statistics, Computer Sciences, and Data Science, University Hospital of Friedrich Schiller University Jena, Jena, Germany
| | - Georg M Schuetz
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | | | | | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology University Hospital Zurich, Zurich, Switzerland
| | | | - Elke Zimmermann
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Bernhard Gerber
- Department of Cardiology, Clinique Universitaire St Luc, Institut de Recherche Clinique et Expérimentale, Brussels, Belgium
| | - Abbas A Shabestari
- Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Matthijs F L Meijs
- Department of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Akira Sato
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | | | | | - Juhani Knuuti
- Turku University Hospital and University of Turku, Turku, Finland
| | - Ashraf Hamdan
- Department of Cardiovascular Imaging, Department of Cardiology, Rabin Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | | | | | - Johannes Rixe
- Department of Cardiology and Electrophysiology, Jung Stilling Hospital Siegen, Siegen, Germany
| | - Yung-Liang Wan
- Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Chang Gung Memorial Hospital at Linkou, Taoyaun City, Taiwan
| | - Christoph Langer
- Kardiologisch-Angiologische Praxis, Herzzentrum Bremen, Bremen, Germany
| | - Sebastian Leschka
- Department of Radiology, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Eugenio Martuscelli
- Department of Internal Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Said Ghostine
- Department of Cardiology, Centre Chirurgical Marie Lannelongue, Le Plessis Robinson, France
| | | | | | - Robert Haase
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Marc Dewey
- Department of Radiology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
- Berlin Institute of Health, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
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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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3
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Wang J, Xu J, Mao J, Fu S, Gu H, Wu N, Su G, Lin Z, Zhang K, Lin Y, Zhao Y, Liu G, Zhao H, Zhao Q. A novel hybrid machine learning model for auxiliary diagnosing myocardial ischemia. Front Cardiovasc Med 2024; 11:1327912. [PMID: 38450372 PMCID: PMC10914931 DOI: 10.3389/fcvm.2024.1327912] [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: 10/26/2023] [Accepted: 01/22/2024] [Indexed: 03/08/2024] Open
Abstract
Introduction Accurate identification of the myocardial texture features of fat around the coronary artery on coronary computed tomography angiography (CCTA) images are crucial to improve clinical diagnostic efficiency of myocardial ischemia (MI). However, current coronary CT examination is difficult to recognize and segment the MI characteristics accurately during earlier period of inflammation. Materials and methods We proposed a random forest model to automatically segment myocardium and extract peripheral fat features. This hybrid machine learning (HML) model is integrated by CCTA images and clinical data. A total of 1,316 radiomics features were extracted from CCTA images. To further obtain the features that contribute the most to the diagnostic model, dimensionality reduction was applied to filter features to three: LNS, GFE, and WLGM. Moreover, statistical hypothesis tests were applied to improve the ability of discriminating and screening clinical features between the ischemic and non-ischemic groups. Results By comparing the accuracy, recall, specificity and AUC of the three models, it can be found that HML had the best performance, with the value of 0.848, 0.762, 0.704 and 0.729. Conclusion In sum, this study demonstrates that ML-based radiomics model showed good predictive value in MI, and offer an enhanced tool for predicting prognosis with greater accuracy.
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Affiliation(s)
- Jing Wang
- Department of Imaging, School of Medicine, Xiamen Cardiovascular Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Jing Xu
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, Institute of Artificial Intelligence, School of Public Health, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University, Xiamen, China
| | - Jingsong Mao
- Department of Vascular Intervention, Affiliated Hospital, Guilin Medical University, Guilin, China
| | - Suzhong Fu
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, Institute of Artificial Intelligence, School of Public Health, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University, Xiamen, China
| | - Haowei Gu
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, Institute of Artificial Intelligence, School of Public Health, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University, Xiamen, China
| | - Naiming Wu
- Department of Imaging, School of Medicine, Xiamen Cardiovascular Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Guoqing Su
- Department of Radiology, Xiang’an Hospital of Xiamen University, Xiamen, China
| | - Zhiping Lin
- Department of Pharmaceutical Diagnosis, GE Healthcare, Guangzhou, China
| | - Kaiyue Zhang
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, Institute of Artificial Intelligence, School of Public Health, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
| | - Yuetong Lin
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, Institute of Artificial Intelligence, School of Public Health, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
| | - Yang Zhao
- Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen, China
| | - Gang Liu
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, Institute of Artificial Intelligence, School of Public Health, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
| | - Hengyu Zhao
- Department of Imaging, School of Medicine, Xiamen Cardiovascular Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Qingliang Zhao
- State Key Laboratory of Vaccines for Infectious Diseases, Center for Molecular Imaging and Translational Medicine, Xiang An Biomedicine Laboratory, Institute of Artificial Intelligence, School of Public Health, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, China
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, Xiamen University, Xiamen, China
- Shenzhen Research Institute of Xiamen University, Shenzhen, China
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4
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Qiao J, Li S, Yang H, Chen X, Zhu T, Li Q, Wan W, Xu Y, Ge B, Zhao Y, Tang Y, Li F, He Y, Xia L. Subtraction Improves the Accuracy of Coronary CT Angiography in Patients with Severe Calcifications in Identifying Moderate and Severe Stenosis: A Multicenter Study. Acad Radiol 2023; 30:2801-2810. [PMID: 36586762 DOI: 10.1016/j.acra.2022.11.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 11/06/2022] [Accepted: 11/27/2022] [Indexed: 12/30/2022]
Abstract
RATIONALE AND OBJECTIVES To investigate the diagnostic accuracy of subtraction coronary computed tomographic angiography (CCTAsub) in identifying ≥ 50% and ≥ 70% coronary stenosis in patients with different degrees of calcification. MATERIALS AND METHODS In this study, 180 patients with coronary calcified plaques who underwent both coronary CT angiography and invasive coronary angiography (ICA) were prospectively enrolled at five centers. Patients were divided into three groups according to the Agatston score: group A (low to moderate, < 400), group B (high, 400-999), and group C (very high, ≥ 1000). Diagnostic accuracies estimated by area under the receiver operating characteristic curve (AUC) were compared between conventional CCTA (CCTAcon) and CCTAsub, with ICA as a reference standard. RESULTS There were 86 patients in group A, 44 in group B, and 50 in group C. In identifying ≥ 70% coronary stenosis, subtraction improved the diagnostic accuracies on a per-segment basis in group B (AUC: 0.80 vs 0.92, p = 0.001) and group C (AUC: 0.75 vs 0.84, p = 0.001) after subtraction. When identifying ≥ 50% coronary stenosis, the per-segment AUC of CCTAsub in group B and C were significantly higher than that in CCTAcon (group B: 0.81 vs 0.92, p < 0.001; group C: 0.77 vs 0.88, p < 0.001). However, no improvement was observed in group A. CONCLUSION Subtraction achieved better diagnostic accuracy in patients with Agatston score ≥ 400, both in identifying ≥ 50% and ≥ 70% coronary stenosis, which was instructive for the application of subtraction in clinical practice.
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Affiliation(s)
- Jinhan Qiao
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Li
- Department of Radiology, People's Hospital, Hubei University of Medicine, Shiyan, China
| | - Hongzhi Yang
- Department of Radiology, Xidian Group Hospital, Xi'an, China
| | - Xiaolong Chen
- Image Center Shaanxi Provincial People's Hospital, Xi'an, China
| | - Tingting Zhu
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qian Li
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weijia Wan
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yinghao Xu
- Canon Medical Systems (China) CO.,LTD., Building 205, Yard NO.A10, JiuXianQiao North Road, ChaoYang District, 100015, Beijing
| | - Bing Ge
- Canon Medical Systems (China) CO.,LTD., Building 205, Yard NO.A10, JiuXianQiao North Road, ChaoYang District, 100015, Beijing
| | - Yun Zhao
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Tang
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fang Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Bejing, China; Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing, China.
| | - Yi He
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Bejing, China.
| | - Liming Xia
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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5
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Budoff MJ, Lee HS, Roy SK, Shekar C. Efficacy and Safety of Iodixanol in Computed Coronary Tomographic Angiography and Cardiac Catheterization. J Cardiovasc Dev Dis 2023; 10:449. [PMID: 37998507 PMCID: PMC10671983 DOI: 10.3390/jcdd10110449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/26/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023] Open
Abstract
Iodixanol is an iso-osmolar non-ionic dimeric hydrophilic contrast agent with a higher viscosity than the monomeric agents. It is the only Food and Drug Administration (FDA)-approved iso-osmolar agent in the United States, and it is the only contrast agent with an FDA-approved indication for use in cardiac computed tomographic angiography (CCTA), to assist in the diagnostic evaluation of patients with suspected coronary artery disease. In clinical studies, it has been noted to have fewer side effects and similar image quality when compared to low-osmolar contrast media. This can be attributed to the pharmacological properties of iodixanol. These contrast agents are used for coronary computed tomography angiography and cardiac catheterization. In this article, the use, tolerability, and efficacy of iodixanol are reviewed, specifically evaluating the use of CCTA and coronary angiography, including outcome studies, randomized trials, and comparisons to other contrast agents.
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Affiliation(s)
- Matthew J. Budoff
- Department of Cardiology, Lundquist Institute, Harbor-UCLA Medical Center, 1124 W Carson Street, Torrance, CA 90502, USA;
| | | | - Sion K. Roy
- Department of Cardiology, Lundquist Institute, Harbor-UCLA Medical Center, 1124 W Carson Street, Torrance, CA 90502, USA;
| | - Chandana Shekar
- Department of Cardiology, College of Medicine, Banner-University of Arizona, 1111 E McDowell Road, Phoenix, AZ 85006, USA;
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6
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Williams C, Han D, Takagi H, Fordyce CB, Sellers S, Blanke P, Lin FY, Shaw LJ, Lee SE, Andreini D, Al-Mallah MH, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Conte E, Marques H, de Araújo Gonçalves P, Gottlieb I, Hadamitzky M, Maffei E, Pontone G, Shin S, Kim YJ, Lee BK, Chun EJ, Sung JM, Virmani R, Samady H, Stone PH, Berman DS, Narula J, Bax JJ, Leipsic JA, Chang HJ. Effects of renin-angiotensin-aldosterone-system inhibitors on coronary atherosclerotic plaques: The PARADIGM registry. Atherosclerosis 2023; 383:117301. [PMID: 37769454 DOI: 10.1016/j.atherosclerosis.2023.117301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND AND AIMS Inhibition of Renin-Angiotensin-Aldosterone-System (RAAS) has been hypothesized to improve endothelial function and reduce plaque inflammation, however, their impact on the progression of coronary atherosclerosis is unclear. We aim to study the effects of RAAS inhibitor on plaque progression and composition assessed by serial coronary CT angiography (CCTA). METHODS We performed a prospective, multinational study consisting of a registry of patients without history of CAD, who underwent serial CCTAs. Patients using RAAS inhibitors were propensity matched to RAAS inhibitor naïve patients based on clinical and CCTA characteristics at baseline. Atherosclerotic plaques in CCTAs were quantitatively analyzed for percent atheroma volume (PAV) according to plaque composition. Interactions between RAAS inhibitor use and baseline PAV on plaque progression were assessed in the unmatched cohort using a multivariate linear regression model. RESULTS Of 1248 patients from the registry, 299 RAAS inhibitor taking patients were matched to 299 RAAS inhibitor naïve patients. Over a mean interval of 3.9 years, there was no significant difference in annual progression of total PAV between RAAS inhibitor naïve vs taking patients (0.75 vs 0.79%/year, p = 0.66). With interaction testing in the unmatched cohort, however, RAAS inhibitor use was significantly associated with lower non-calcified plaque progression (Beta coefficient -0.100, adjusted p = 0.038) with higher levels of baseline PAV. CONCLUSIONS The use of RAAS inhibitors over a period of nearly 4 years did not significantly impact on total atherosclerotic plaque progression or various plaque components. However, interaction testing to assess the differential effect of RAAS inhibition based on baseline PAV suggested a significant decrease in progression of non-calcified plaque in patients with a higher burden of baseline atherosclerosis, which should be considered hypothesis generating.
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Affiliation(s)
- Curtis Williams
- Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Donghee Han
- Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Hidenobu Takagi
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada; Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Christopher B Fordyce
- Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephanie Sellers
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Philipp Blanke
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Fay Y Lin
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Leslee J Shaw
- Dalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Sang-Eun Lee
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea; Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea
| | | | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Matthew J Budoff
- Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA, USA
| | | | | | | | | | - Hugo Marques
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal
| | - Pedro de Araújo Gonçalves
- UNICA, Unit of Cardiovascular Imaging, Hospital da Luz, Lisboa, Portugal; Nova Medical School, Lisboa, Portugal
| | - Ilan Gottlieb
- Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
| | - Martin Hadamitzky
- Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, Pisa, Italy
| | | | - Sanghoon Shin
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, South Korea
| | - Yong-Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul, South Korea
| | - Byoung Kwon Lee
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Eun Ju Chun
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Ji Min Sung
- Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea; Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Renu Virmani
- Department of Pathology, CVPath Institute, Gaithersburg, MD, USA
| | - Habib Samady
- Division of Cardiology, Georgia Heart Institute, Gainesville, USA
| | - Peter H Stone
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel S Berman
- Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, Zena and Michael A. Wiener Cardiovascular Institute, and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, NY, USA
| | - Jeroen J Bax
- Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Jonathon A Leipsic
- Department of Radiology and Centre for Heart Lung Innovation, St. Paul's Hospital and University of British Columbia, Vancouver, British Columbia, Canada.
| | - Hyuk-Jae Chang
- Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Yonsei University Health System, South Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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7
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Perone F, Bernardi M, Redheuil A, Mafrica D, Conte E, Spadafora L, Ecarnot F, Tokgozoglu L, Santos-Gallego CG, Kaiser SE, Fogacci F, Sabouret A, Bhatt DL, Paneni F, Banach M, Santos R, Biondi Zoccai G, Ray KK, Sabouret P. Role of Cardiovascular Imaging in Risk Assessment: Recent Advances, Gaps in Evidence, and Future Directions. J Clin Med 2023; 12:5563. [PMID: 37685628 PMCID: PMC10487991 DOI: 10.3390/jcm12175563] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/14/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
Optimal risk assessment for primary prevention remains highly challenging. Recent registries have highlighted major discrepancies between guidelines and daily practice. Although guidelines have improved over time and provide updated risk scores, they still fail to identify a significant proportion of at-risk individuals, who then miss out on effective prevention measures until their initial ischemic events. Cardiovascular imaging is progressively assuming an increasingly pivotal role, playing a crucial part in enhancing the meticulous categorization of individuals according to their risk profiles, thus enabling the customization of precise therapeutic strategies for patients with increased cardiovascular risks. For the most part, the current approach to patients with atherosclerotic cardiovascular disease (ASCVD) is homogeneous. However, data from registries (e.g., REACH, CORONOR) and randomized clinical trials (e.g., COMPASS, FOURIER, and ODYSSEY outcomes) highlight heterogeneity in the risks of recurrent ischemic events, which are especially higher in patients with poly-vascular disease and/or multivessel coronary disease. This indicates the need for a more individualized strategy and further research to improve definitions of individual residual risk, with a view of intensifying treatments in the subgroups with very high residual risk. In this narrative review, we discuss advances in cardiovascular imaging, its current place in the guidelines, the gaps in evidence, and perspectives for primary and secondary prevention to improve risk assessment and therapeutic strategies using cardiovascular imaging.
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Affiliation(s)
- Francesco Perone
- Cardiac Rehabilitation Unit, Rehabilitation Clinic “Villa delle Magnolie”, Castel Morrone, 81020 Caserta, Italy;
| | - Marco Bernardi
- Department of Clinical, Internal Medicine, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy; (M.B.); (D.M.); (L.S.)
| | - Alban Redheuil
- Laboratoire d’Imagerie Biomédicale, Sorbonne University, INSERM 1146, CNRS 7371, 75005 Paris, France;
| | - Dario Mafrica
- Department of Clinical, Internal Medicine, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy; (M.B.); (D.M.); (L.S.)
| | - Edoardo Conte
- Cardiology Department, Galeazzi-Sant’Ambrogio Hospital IRCCS, 20100 Milan, Italy;
| | - Luigi Spadafora
- Department of Clinical, Internal Medicine, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy; (M.B.); (D.M.); (L.S.)
| | - Fiona Ecarnot
- Department of Cardiology, University Hospital Besancon, University of Franche-Comté, 25000 Besancon, France;
| | - Lale Tokgozoglu
- Department of Cardiology, Medical Faculty, Hacettepe University, 06230 Ankara, Turkey;
| | - Carlos G. Santos-Gallego
- Atherothrombosis Research Unit, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai Health System, New York, NY 10029, USA;
| | - Sergio Emanuel Kaiser
- Discipline of Clinical and Experimental Pathophysiology, Rio de Janeiro State University, Rio de Janeiro 23070-200, Brazil;
| | - Federica Fogacci
- Hypertension and Cardiovascular Risk Research Group, Medical and Surgical Sciences Department, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy;
| | | | - Deepak L. Bhatt
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai Health System, New York, NY 10029, USA;
| | - Francesco Paneni
- Department of Cardiology, University Heart Center, University Hospital Zurich, 8091 Zurich, Switzerland;
- Center for Translational and Experimental Cardiology (CTEC), University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland
| | - Maciej Banach
- Department of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), Rzgowska 281/289, 93-338 Lodz, Poland;
- Cardiovascular Research Centre, University of Zielona Gora, 65-417 Zielona Gora, Poland
| | - Raul Santos
- Heart Institute, University of Sao Paulo Medical School, São Paulo 05403-903, Brazil;
| | - Giuseppe Biondi Zoccai
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00185 Roma, Italy;
- Mediterranea Cardiocentro, 80122 Napoli, Italy
| | - Kausik K. Ray
- Imperial Centre for Cardiovascular Disease Prevention and Imperial Clinical Trials Unit, Department of Public Health and Primary Care, Imperial College London, London SW7 2BX, UK;
| | - Pierre Sabouret
- Heart Institute, Cardiology Department, Paris and National College of French Cardiologists, Pitié-Salpétrière Hospital, Sorbonne University, 75013 Paris, France
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8
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Maroules CD, Rybicki FJ, Ghoshhajra BB, Batlle JC, Branch K, Chinnaiyan K, Hamilton-Craig C, Hoffmann U, Litt H, Meyersohn N, Shaw LJ, Villines TC, Cury RC. 2022 use of coronary computed tomographic angiography for patients presenting with acute chest pain to the emergency department: An expert consensus document of the Society of cardiovascular computed tomography (SCCT): Endorsed by the American College of Radiology (ACR) and North American Society for cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr 2023; 17:146-163. [PMID: 36253281 DOI: 10.1016/j.jcct.2022.09.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 11/22/2022]
Abstract
Coronary computed tomography angiography (CTA) improves the quality of care for patients presenting with acute chest pain (ACP) to the emergency department (ED), particularly in patients with low to intermediate likelihood of acute coronary syndrome (ACS). The Society of Cardiovascular Computed Tomography Guidelines Committee was formed to develop recommendations for acquiring, interpreting, and reporting of coronary CTA to ensure appropriate, safe, and efficient use of this modality. Because of the increasing use of coronary CTA testing for the evaluation of ACP patients, the Committee has been charged with the development of the present document to assist physicians and technologists. These recommendations were produced as an educational tool for practitioners evaluating acute chest pain patients in the ED, in the interest of developing systematic standards of practice for coronary CTA based on the best available data or broad expert consensus. Due to the highly variable nature of medical care, approaches to patient selection, preparation, protocol selection, interpretation or reporting that differs from these guidelines may represent an appropriate variation based on a legitimate assessment of an individual patient's needs.
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Affiliation(s)
| | - Frank J Rybicki
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Brian B Ghoshhajra
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Juan C Batlle
- Department of Radiology, Baptist Cardiac and Vascular Institute, Miami, FL, USA
| | - Kelley Branch
- Department of Cardiology, University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Udo Hoffmann
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Harold Litt
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Nandini Meyersohn
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Todd C Villines
- Department of Cardiology, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Ricardo C Cury
- Department of Radiology, Baptist Cardiac and Vascular Institute, Miami, FL, USA
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9
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Yang YC, Dou Y, Wang ZW, Yin RH, Pan CJ, Duan SF, Tang XQ. Prediction of myocardial ischemia in coronary heart disease patients using a CCTA-Based radiomic nomogram. Front Cardiovasc Med 2023; 10:1024773. [PMID: 36742075 PMCID: PMC9893015 DOI: 10.3389/fcvm.2023.1024773] [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: 08/22/2022] [Accepted: 01/03/2023] [Indexed: 01/20/2023] Open
Abstract
Objective The present study aimed to predict myocardial ischemia in coronary heart disease (CHD) patients based on the radiologic features of coronary computed tomography angiography (CCTA) combined with clinical factors. Methods The imaging and clinical data of 110 patients who underwent CCTA scan before DSA or FFR examination in Changzhou Second People's Hospital, Nanjing Medical University (90 patients), and The First Affiliated Hospital of Soochow University (20 patients) from March 2018 to January 2022 were retrospectively analyzed. According to the digital subtraction angiography (DSA) and fractional flow reserve (FFR) results, all patients were assigned to myocardial ischemia (n = 58) and normal myocardial blood supply (n = 52) groups. All patients were further categorized into training (n = 64) and internal validation (n = 26) sets at a ratio of 7:3, and the patients from second site were used as external validation. Clinical indicators of patients were collected, the left ventricular myocardium were segmented from CCTA images using CQK software, and the radiomics features were extracted using pyradiomics software. Independent prediction models and combined prediction models were established. The predictive performance of the model was assessed by calibration curve analysis, receiver operating characteristic (ROC) curve and decision curve analysis. Results The combined model consisted of one important clinical factor and eight selected radiomic features. The area under the ROC curve (AUC) of radiomic model was 0.826 in training set, and 0.744 in the internal validation set. For the combined model, the AUCs were 0.873, 0.810, 0.800 in the training, internal validation, and external validation sets, respectively. The calibration curves demonstrated that the probability of myocardial ischemia predicted by the combined model was in good agreement with the observed values in both training and validation sets. The decision curve was within the threshold range of 0.1-1, and the clinical value of nomogram was higher than that of clinical model. Conclusion The radiomic characteristics of CCTA combined with clinical factors have a good clinical value in predicting myocardial ischemia in CHD patients.
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Affiliation(s)
- You-Chang Yang
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Shandong, China
| | - Yang Dou
- Graduate School of Dalian Medical University, Dalian Medical University, Dalian, China
| | - Zhi-Wei Wang
- Graduate School of Dalian Medical University, Dalian Medical University, Dalian, China
| | - Ruo-Han Yin
- Department of Radiology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Chang-Jie Pan
- Department of Radiology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Shao-Feng Duan
- GE Healthcare, Precision Health Institution, Shanghai, China
| | - Xiao-Qiang Tang
- Department of Radiology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China,*Correspondence: Xiao-Qiang Tang,
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10
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Wei C, Fan W, Zhang Y, Liu Y, Ding Z, Si Y, Liu J, Sun L. Nomograms Based on the Albumin/Neutrophil-to-Lymphocyte Ratio Score for Predicting Coronary Artery Disease or Subclinical Coronary Artery Disease. J Inflamm Res 2023; 16:169-182. [PMID: 36660374 PMCID: PMC9844825 DOI: 10.2147/jir.s392482] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
Purpose To develop and validate two nomograms incorporating the albumin/neutrophil-to-lymphocyte ratio score (ANS) for predicting the risk of coronary artery disease (CAD) or subclinical CAD. Patients and Methods Four hundred fifty patients with suspected CAD who underwent coronary computed tomographic angiography were consecutively enrolled between September 2015 and June 2017. Nomograms were established based on independent predictors of CAD or subclinical CAD. Results In total, 437 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, age ≥65 years, smoking, hypertension, diabetes, dyslipidemia, ischemic stroke, and ANS were independent predictors of CAD and subclinical CAD. The areas under the curve of each nomogram were 0.799 (95% CI: 0.752-0.846) and 0.809 (95% CI: 0.762-0.856), respectively. The calibration curve and decision curve analysis showed good performance for the diagnostic nomograms. The prediction of CAD or subclinical CAD by the ANS was not modified by the independent predictors (all, p for interaction >0.05). Conclusion Our ANS-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD or subclinical CAD.
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Affiliation(s)
- Chen Wei
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China
| | - Wenjun Fan
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China
| | - Ying Zhang
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China
| | - Yixiang Liu
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China
| | - Zhenjiang Ding
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China
| | - Yueqiao Si
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China
| | - Jingyi Liu
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China
| | - Lixian Sun
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China,Correspondence: Lixian Sun, Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, Hebei, 067000, People’s Republic of China, Tel +86 0314 227 9016, Fax +86 0314 227 4895, Email
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11
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Andreini D, Collet C, Leipsic J, Nieman K, Bittencurt M, De Mey J, Buls N, Onuma Y, Mushtaq S, Conte E, Bartorelli AL, Stefanini G, Sonck J, Knaapen P, Ghoshhajra B, Serruys PW. Pre-procedural planning of coronary revascularization by cardiac computed tomography: An expert consensus document of the Society of Cardiovascular Computed Tomography. EUROINTERVENTION 2022; 18:e872-e887. [PMID: 35994043 PMCID: PMC9743242 DOI: 10.4244/eij-e-22-00036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 08/05/2022] [Indexed: 12/12/2022]
Abstract
Coronary CT angiography (CCTA) demonstrated high diagnostic accuracy for detecting coronary artery disease (CAD) and a key role in the management of patients with low-to-intermediate pretest likelihood of CAD. However, the clinical information provided by this noninvasive method is still regarded insufficient in patients with diffuse and complex CAD and for planning percutaneous coronary intervention (PCI) and surgical revascularization procedures. On the other hand, technology advancements have recently shown to improve CCTA diagnostic accuracy in patients with diffuse and calcific stenoses. Moreover, stress CT myocardial perfusion imaging (CT-MPI) and fractional flow reserve derived from CCTA (CT-FFR) have been introduced in clinical practice as new tools for evaluating the functional relevance of coronary stenoses, with the possibility to overcome the main CCTA drawback, i.e. anatomical assessment only. The potential value of CCTA to plan and guide interventional procedures lies in the wide range of information it can provide: a) detailed evaluation of plaque extension, volume and composition; b) prediction of procedural success of CTO PCI using scores derived from CCTA; c) identification of coronary lesions requiring additional techniques (e.g., atherectomy and lithotripsy) to improve stent implantation success by assessing calcium score and calcific plaque distribution; d) assessment of CCTA-derived Syntax Score and Syntax Score II, which allows to select the mode of revascularization (PCI or CABG) in patients with complex and multivessel CAD. The aim of this Consensus Document is to review and discuss the available data supporting the role of CCTA, CT-FFR and stress CT-MPI in the preprocedural and possibly intraprocedural planning and guidance of myocardial revascularization interventions.
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Affiliation(s)
- Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | | | - Jonathon Leipsic
- St Paul's Hospital & University of British Columbia, Vancouver, British Columbia Vancouver, Canada
| | - Koen Nieman
- Stanford University School of Medicine, Departments of Medicine and Radiology, USA
| | - Marcio Bittencurt
- Division of Internal Medicine, University Hospital, University of São Paulo, São Paulo, Brazil
- DASA, São Paulo, Brazil
- Division of Cardiology and the Heart and Vascular Institute, University of Pittsburgh Medical Center
| | - Johan De Mey
- Department of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussel, Belgium
| | - Nico Buls
- Department of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussel, Belgium
| | - Yoshinobu Onuma
- Clinical Science Institute, National University of Ireland, Galway, Ireland
| | | | - Edoardo Conte
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Antonio L Bartorelli
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Giulio Stefanini
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele-Milan, Italy
- Humanitas Research Hospital IRCCS, Rozzano-Milan, Italy
| | - Jeroen Sonck
- Cardiovascular Center Aalst, OLVZ Aalst, Belgium
- Department of Advanced Biomedical Sciences, University of Naples, Federico II, Naples, Italy
| | - Paul Knaapen
- Vrije Universiteit Medical Center, Amsterdam, Netherlands
| | - Brian Ghoshhajra
- Massachusetts General Hospital, Harvard University, Boston, MA, USA
| | - Patrick W Serruys
- Clinical Science Institute, National University of Ireland, Galway, Ireland
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12
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Andreini D, Collet C, Leipsic J, Nieman K, Bittencurt M, De Mey J, Buls N, Onuma Y, Mushtaq S, Conte E, Bartorelli AL, Stefanini G, Sonck J, Knaapen P, Ghoshhajra B, Serruys P. Pre-procedural planning of coronary revascularization by cardiac computed tomography: An expert consensus document of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2022; 16:558-572. [PMID: 36008263 DOI: 10.1016/j.jcct.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 06/07/2022] [Accepted: 08/05/2022] [Indexed: 10/15/2022]
Abstract
Coronary CT angiography (CCTA) demonstrated high diagnostic accuracy for detecting coronary artery disease (CAD) and a key role in the management of patients with low-to-intermediate pretest likelihood of CAD. However, the clinical information provided by this noninvasive method is still regarded insufficient in patients with diffuse and complex CAD and for planning percutaneous coronary intervention (PCI) and surgical revascularization procedures. On the other hand, technology advancements have recently shown to improve CCTA diagnostic accuracy in patients with diffuse and calcific stenoses. Moreover, stress CT myocardial perfusion imaging (CT-MPI) and fractional flow reserve derived from CCTA (CT-FFR) have been introduced in clinical practice as new tools for evaluating the functional relevance of coronary stenoses, with the possibility to overcome the main CCTA drawback, i.e. anatomical assessment only. The potential value of CCTA to plan and guide interventional procedures lies in the wide range of information it can provide: a) detailed evaluation of plaque extension, volume and composition; b) prediction of procedural success of CTO PCI using scores derived from CCTA; c) identification of coronary lesions requiring additional techniques (e.g., atherectomy and lithotripsy) to improve stent implantation success by assessing calcium score and calcific plaque distribution; d) assessment of CCTA-derived Syntax Score and Syntax Score II, which allows to select the mode of revascularization (PCI or CABG) in patients with complex and multivessel CAD. The aim of this Consensus Document is to review and discuss the available data supporting the role of CCTA, CT-FFR and stress CT-MPI in the preprocedural and possibly intraprocedural planning and guidance of myocardial revascularization interventions.
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Affiliation(s)
- Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy.
| | | | - Jonathon Leipsic
- St Paul's Hospital & University of British Columbia, Vancouver, British Columbia, Vancouver, Canada
| | - Koen Nieman
- Stanford University School of Medicine, Departments of Medicine and Radiology, USA
| | - Marcio Bittencurt
- Division of Internal Medicine, University Hospital, University of São Paulo, São Paulo, Brazil; DASA, São Paulo, Brazil; Division of Cardiology and the Heart and Vascular Institute, University of Pittsburgh Medical Center, USA
| | - Johan De Mey
- Department of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussel, Belgium
| | - Nico Buls
- Department of Radiology, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussel, Belgium
| | - Yoshinobu Onuma
- Clinical Science Institute, National University of Ireland, Galway, Ireland
| | | | - Edoardo Conte
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Antonio L Bartorelli
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, Milan, Italy
| | - Giulio Stefanini
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; Humanitas Research Hospital IRCCS, Rozzano, Milan, Italy
| | - Jeroen Sonck
- Cardiovascular Center Aalst, OLVZ Aalst, Belgium; Department of Advanced Biomedical Sciences, University of Naples, Federico II, Naples, Italy
| | - Paul Knaapen
- Vrije Universiteit Medical Center, Amsterdam, Netherlands
| | - Brian Ghoshhajra
- Massachusetts General Hospital, Harvard University, Boston, MA, USA
| | - Patrick Serruys
- Clinical Science Institute, National University of Ireland, Galway, Ireland
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13
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Eisenberg E, Miller RJH, Hu LH, Rios R, Betancur J, Azadani P, Han D, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Liang JX, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT. J Nucl Cardiol 2022; 29:2295-2307. [PMID: 34228341 PMCID: PMC9020793 DOI: 10.1007/s12350-021-02698-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 05/18/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Stress-only myocardial perfusion imaging (MPI) markedly reduces radiation dose, scanning time, and cost. We developed an automated clinical algorithm to safely cancel unnecessary rest imaging with high sensitivity for obstructive coronary artery disease (CAD). METHODS AND RESULTS Patients without known CAD undergoing both MPI and invasive coronary angiography from REFINE SPECT were studied. A machine learning score (MLS) for prediction of obstructive CAD was generated using stress-only MPI and pre-test clinical variables. An MLS threshold with a pre-defined sensitivity of 95% was applied to the automated patient selection algorithm. Obstructive CAD was present in 1309/2079 (63%) patients. MLS had higher area under the receiver operator characteristic curve (AUC) for prediction of CAD than reader diagnosis and TPD (0.84 vs 0.70 vs 0.78, P < .01). An MLS threshold of 0.29 had superior sensitivity than reader diagnosis and TPD for obstructive CAD (95% vs 87% vs 87%, P < .01) and high-risk CAD, defined as stenosis of the left main, proximal left anterior descending, or triple-vessel CAD (sensitivity 96% vs 89% vs 90%, P < .01). CONCLUSIONS The MLS is highly sensitive for prediction of both obstructive and high-risk CAD from stress-only MPI and can be applied to a stress-first protocol for automatic cancellation of unnecessary rest imaging.
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Affiliation(s)
- Evann Eisenberg
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Robert J H Miller
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
- University of Calgary, Calgary, AB, Canada
| | - Lien-Hsin Hu
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
- Taipei Veterans General Hospital, Taipei, Taiwan
| | - Richard Rios
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Julian Betancur
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Peyman Azadani
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Donghee Han
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | | | - Andrew J Einstein
- Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA
| | - Sabahat Bokhari
- Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA
| | | | | | | | | | | | | | | | | | - Joanna X Liang
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Yuka Otaki
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Balaji K Tamarappoo
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Damini Dey
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Daniel S Berman
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA
| | - Piotr J Slomka
- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
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14
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The Role of Cardiac Computed Tomography in Heart Failure. Curr Heart Fail Rep 2022; 19:213-222. [PMID: 35588344 DOI: 10.1007/s11897-022-00553-2] [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] [Accepted: 04/25/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE OF REVIEW Cardiac computed tomography (CT) is becoming a more widely applied tool in the diagnosis and management of a variety of cardiovascular conditions, including heart failure. The aim of this narrative review is to examine the role of cardiac CT in patients with heart failure. RECENT FINDINGS Coronary computed tomographic angiography has robust diagnostic accuracy for ruling out coronary artery disease. These data are reflected in updated guidelines from major cardiology organizations. New roles for cardiac CT in myocardial imaging, perfusion scanning, and periprocedural planning, execution, and monitoring are being implemented. Cardiac CT is useful in ruling out coronary artery disease its diagnostic accuracy, accessibility, and safety. It is also intricately linked to invasive cardiac procedures that patients with heart failure routinely undergo.
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Alalawi L, Budoff MJ. Recent Advances in Coronary Computed Tomography Angiogram: The Ultimate Tool for Coronary Artery Disease. Curr Atheroscler Rep 2022; 24:557-562. [PMID: 35507277 DOI: 10.1007/s11883-022-01029-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW The emerging technologies in multidetector computed tomography scanners gave the ability to image coronary arteries in a single heartbeat, at a higher quality, and low radiation dose. Furthermore, incorporating artificial intelligence and machine learning into image processing and interpretation have extended the use for coronary computed tomography angiogram (CCTA) and its applications. In this review, we will explore the recent evidence and advances supporting CCTA to become the ultimate tool for coronary artery disease. RECENT FINDINGS Results from the EVINCI, ISCHEMIA, SCOT-HEART, and PROMISE showed that CCTA is better in patients' risk stratification and in detecting subclinical atherosclerosis, resulting in earlier interventions and lesser events. Additionally, CCTA gave us a closer look on atherosclerotic disease by identifying different type of plaque and their clinical significance. Furthermore, FFRCT is a notable example of incorporating artificial intelligence into CCTA. This technology helped us to accurately and non-invasively identify flow limiting lesions, guiding revascularization. As a result of the recent evidence, CCTA have made its way into the chest pain guidelines all over the world. Moreover, CCTA have the potential to revolutionize our understanding and standards in screening, preventing, and managing heart disease.
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Affiliation(s)
- Luay Alalawi
- Department of Cardiology, Lundquist Institute at Harbor UCLA Medical Center, 1209 W 220th St, Torrance, CA, 90502, USA
| | - Matthew J Budoff
- Department of Cardiology, Lundquist Institute at Harbor UCLA Medical Center, 1209 W 220th St, Torrance, CA, 90502, USA.
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Shu ZY, Cui SJ, Zhang YQ, Xu YY, Hung SC, Fu LP, Pang PP, Gong XY, Jin QY. Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram. J Nucl Cardiol 2022; 29:262-274. [PMID: 32557238 DOI: 10.1007/s12350-020-02204-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 05/05/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Coronary computed tomography angiography (CCTA) is a well-established non-invasive diagnostic test for the assessment of coronary artery diseases (CAD). CCTA not only provides information on luminal stenosis but also permits non-invasive assessment and quantitative measurement of stenosis based on radiomics. PURPOSE This study is aimed to develop and validate a CT-based radiomics machine learning for predicting chronic myocardial ischemia (MIS). METHODS CCTA and SPECT-myocardial perfusion imaging (MPI) of 154 patients with CAD were retrospectively analyzed and 94 patients were diagnosed with MIS. The patients were randomly divided into two sets: training (n = 107) and test (n = 47). Features were extracted for each CCTA cross-sectional image to identify myocardial segments. Multivariate logistic regression was used to establish a radiomics signature after feature dimension reduction. Finally, the radiomics nomogram was built based on a predictive model of MIS which in turn was constructed by machine learning combined with the clinically related factors. We then validated the model using data from 49 CAD patients and included 18 MIS patients from another medical center. The receiver operating characteristic curve evaluated the diagnostic accuracy of the nomogram based on the training set and was validated by the test and validation set. Decision curve analysis (DCA) was used to validate the clinical practicability of the nomogram. RESULTS The accuracy of the nomogram for the prediction of MIS in the training, test and validation sets was 0.839, 0.832, and 0.816, respectively. The diagnosis accuracy of the nomogram, signature, and vascular stenosis were 0.824, 0.736 and 0.708, respectively. A significant difference in the number of patients with MIS between the high and low-risk groups was identified based on the nomogram (P < .05). The DCA curve demonstrated that the nomogram was clinically feasible. CONCLUSION The radiomics nomogram constructed based on the image of CCTA act as a non-invasive tool for predicting MIS that helps to identify high-risk patients with coronary artery disease.
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Affiliation(s)
- Zhen-Yu Shu
- Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China
| | - Si-Jia Cui
- Second Clinical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yue-Qiao Zhang
- Department of Radiology, Shao-Yifu Hospital Affiliated to Zhejiang University, Hangzhou, China
| | - Yu-Yun Xu
- Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China
| | - Shng-Che Hung
- Division of Neuroradiology, Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Li-Ping Fu
- Department of Nuclear Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, China
| | | | - Xiang-Yang Gong
- Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.
- Institute of Artificial Intelligence and Remote Imaging, Hangzhou Medical College, Hangzhou, China.
| | - Qin-Yang Jin
- Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou, Zhejiang, China.
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Mansour HH, Alajerami YS, Abushab KM, Quffa KM. The diagnostic accuracy of coronary computed tomography angiography in patients with and without previous coronary interventions. J Med Imaging Radiat Sci 2022; 53:81-86. [PMID: 34987013 DOI: 10.1016/j.jmir.2021.10.005] [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: 08/06/2021] [Revised: 09/28/2021] [Accepted: 10/18/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Invasive coronary angiography (ICA) is the gold standard for imaging coronary arteries and the severity of coronary artery disease (CAD). Coronary computed tomography angiography (CCTA) has undergone remarkable progress in the diagnosis of CAD. OBJECTIVES To evaluate the effect of prior vs no previous coronary interventions on the diagnostic accuracy of CCTA as an alternative to ICA to improve health outcomes for patients with suspected CAD. METHODS A prospective cohort study was carried out among patients suspected of CAD and for evaluation of grafts and stents to investigate recurrent ischemic symptoms. 120 patients imaged by CCTA were then referred to ICA, which is considered the gold standard. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CCTA were assessed relative to ICA. RESULTS Based on a per-patient analysis, the comparison with ICA reveals variations in sensitivity, specificity, PPV, NPV and accuracy of CCTA. In patients without any previous coronary interventions, the sensitivity was 97.8%, and specificity was 95.6%. The PPV and NPV were 97.8% and 95.5%, respectively. Regarding patients with coronary artery bypass grafts (CABG), the sensitivity was 95% and specificity 100%. The PPV and NPV were 100% and 90.9%, respectively. Regarding patients with prior percutaneous coronary intervention (PCI), the results were a sensitivity of 84.6%, specificity of 77.8%, PPV of 84.6% and NPV of 77.8%. CONCLUSION CCTA is a powerful diagnostic tool, especially for the evaluation of the major coronary arteries and evaluation of patients with prior CABG. ICA is recommended for evaluation of patients with an intracoronary stent.
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Affiliation(s)
- Husam H Mansour
- Radiology Department, Al-Shifa Hospital, Gaza-Palestine, Palestine; Medical Imaging Department, Al-Azhar University, Gaza-Palestine, Palestine.
| | - Yasser S Alajerami
- Medical Imaging Department, Al-Azhar University, Gaza-Palestine, Palestine
| | - Khaled M Abushab
- Medical Imaging Department, Al-Azhar University, Gaza-Palestine, Palestine
| | - Khetam M Quffa
- Medical Imaging Department, Al-Azhar University, Gaza-Palestine, Palestine
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18
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Yang YC, Wei XY, Tang XQ, Yin RH, Zhang M, Duan SF, Pan CJ. Exploring value of CT coronary imaging combined with machine-learning methods to predict myocardial ischemia. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2022; 30:767-776. [PMID: 35527621 DOI: 10.3233/xst-221160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE To establish a machine-learning (ML) model based on coronary computed tomography angiography (CTA) images for evaluating myocardial ischemia in patients diagnosed with coronary atherosclerosis. METHODS This retrospective analysis includes CTA images acquired from 110 patients. Among them, 58 have myocardial ischemia and 52 have normal myocardial blood supply. The patients are divided into training and test datasets with a ratio 7 : 3. Deep learning model-based CQK software is used to automatically segment myocardium on CTA images and extract texture features. Then, seven ML models are constructed to classify between myocardial ischemia and normal myocardial blood supply cases. Predictive performance and stability of the classifiers are determined by receiver operating characteristic curve with cross validation. The optimal ML model is then validated using an independent test dataset. RESULTS Accuracy and areas under ROC curves (AUC) obtained from the support vector machine with extreme gradient boosting linear method are 0.821 and 0.777, respectively, while accuracy and AUC achieved by the neural network (NN) method are 0.818 and 0.757, respectively. The naive Bayes model yields the highest sensitivity (0.942), and the random forest model yields the highest specificity (0.85). The k-nearest neighbors model yields the lowest accuracy (0.74). Additionally, NN model demonstrates the lowest relative standard deviations (0.16 for accuracy and 0.08 for AUC) indicating the high stability of this model, and its AUC applying to the independent test dataset is 0.72. CONCLUSION The NN model demonstrates the best performance in predicting myocardial ischemia using radiomics features computed from CTA images, which suggests that this ML model has promising potential in guiding clinical decision-making.
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Affiliation(s)
- You-Chang Yang
- Department of Radiology, Changzhou Second People's Hospital, Changzhou, China
| | - Xiao-Yu Wei
- Department of Radiology, Changzhou Second People's Hospital, Changzhou, China
| | - Xiao-Qiang Tang
- Department of Radiology, Changzhou Second People's Hospital, Changzhou, China
| | - Ruo-Han Yin
- Department of Radiology, Changzhou Second People's Hospital, Changzhou, China
| | - Ming Zhang
- Department of Radiology, Changzhou Second People's Hospital, Changzhou, China
| | - Shao-Feng Duan
- Precision Health Institution, GE Healthcare (China), Shanghai, China
| | - Chang-Jie Pan
- Department of Radiology, Changzhou Second People's Hospital, Changzhou, China
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Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O'Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Cardiovasc Comput Tomogr 2022; 16:54-122. [PMID: 34955448 DOI: 10.1016/j.jcct.2021.11.009] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIM This clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing randomized and nonrandomized trials, observational studies, registries, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. STRUCTURE Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. This guideline presents an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated, and shared decision-making with patients is recommended.
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20
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Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O'Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2021; 78:e187-e285. [PMID: 34756653 DOI: 10.1016/j.jacc.2021.07.053] [Citation(s) in RCA: 319] [Impact Index Per Article: 106.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
AIM This clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing randomized and nonrandomized trials, observational studies, registries, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. STRUCTURE Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. This guideline presents an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated, and shared decision-making with patients is recommended.
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21
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Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O'Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2021; 144:e368-e454. [PMID: 34709879 DOI: 10.1161/cir.0000000000001029] [Citation(s) in RCA: 152] [Impact Index Per Article: 50.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
AIM This clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing randomized and nonrandomized trials, observational studies, registries, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. Structure: Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. This guideline presents an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated, and shared decision-making with patients is recommended.
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22
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Fan W, Zhang Y, Liu Y, Ding Z, Si Y, Shi F, Liu J, Sun L. Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification. Clin Appl Thromb Hemost 2021; 27:10760296211060455. [PMID: 34786986 PMCID: PMC8619753 DOI: 10.1177/10760296211060455] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aim To develop and validate 3 nomograms incorporating the advanced lung cancer inflammation index (ALI) that can aid in predicting the risk of coronary artery disease (CAD) and coronary artery calcification (CAC). Methods The study enrolled 562 consecutive patients with suspected CAD who underwent coronary computed tomographic angiography between September 2015 and June 2017. Independent risk factors for CAD, CAC, and CAD with CAC were identified via univariate and multivariate analysis, and nomograms were established based on the independent predictors identified. The area under the curve (AUC), calibration curve, and decision curve analysis were used to evaluate the nomograms. Correlations between ALI and other clinical indicators were examined via Spearman correlation analysis. Results In total, 549 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, hypertension, diabetes, dyslipidemia, ischemic stroke, and ALI were independent predictors of both CAD and CAC. Male sex, hypertension, diabetes, dyslipidemia, and ALI were also identified as independent predictors of CAD with CAC. The AUC values for the nomograms developed using these risk factors were 0.739 (95% confidence interval [CI], 0.693-0.785), 0.728 (95% CI, 0.684-0.772), and 0.717 (95% CI 0.673-0.761), respectively. ALI was negatively correlated with neutrophil-to-lymphocyte ratio and CAC score and positively correlated with serum albumin levels and body mass index (all P < .05). Conclusions ALI is an independent predictor of CAD, CAC, and CAD with CAC. Our ALI-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD.
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Affiliation(s)
- Wenjun Fan
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Ying Zhang
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Yixiang Liu
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Zhenjiang Ding
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Yueqiao Si
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Fei Shi
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Jingyi Liu
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Lixian Sun
- 117914The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
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23
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Ebaid NY, Khalifa DN, Ragheb AS, Abdelsamie MM, Alsowey AM. Validation of Coronary Artery Disease Reporting and Data System (CAD-RADS) and Application of Coronary Artery Calcium Data and Reporting System (CAC-DRS) as New Standardized Tools in the Management of Coronary Artery Disease Patients. Int J Gen Med 2021; 14:7503-7514. [PMID: 34754223 PMCID: PMC8572090 DOI: 10.2147/ijgm.s336662] [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: 09/07/2021] [Accepted: 10/19/2021] [Indexed: 11/30/2022] Open
Abstract
Background and Objectives The coronary artery disease reporting and data system (CAD-RADS) is intended to standardize the reporting of CCTA and the subsequent management guidelines of CAD. The present study was conducted to investigate the validation of CAD-RADS and the application of coronary calcium grading in CAD management. Patients and Methods The current study is a single-center prospective study that involved 177 participants with chest pain who were submitted to coronary CT angiography (CCTA). Two reviewers independently assessed CCTA results and gave each patient a CAD-RADS category. The reference standard for determining the clinical utility of CAD-RADS was invasive coronary angiography (ICA). The inter-reviewer agreement (IRA) was tested using the intra-class correlation (ICC). Results The study enrolled 111 cases with non-significant CAD and 66 cases with significant CAD based on ICA findings. According to the reviewer, the CAD-RADS had a sensitivity, specificity, and accuracy of 90.9 to 100%, 89.2 to 94.6%, and 93.16 to 93.2%, respectively, for predicting severe CAD. The IRA for CAD-RADS categories was excellent (ICC = 0.960). The best cut-off value for predicting severe CAD was CAD-RADS > 3. Significant relation between Ca and severe CAD (p<0.001) was detected. Conclusion The current study provides a good understanding of CAD-RADS as a standard tool with high diagnostic accuracy.
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Affiliation(s)
- Noha Yahia Ebaid
- Department of Radiology, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Dalia Nabil Khalifa
- Department of Radiology, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Ahmad Sabry Ragheb
- Department of Radiology, Faculty of Medicine, Zagazig University, Zagazig, Egypt
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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: 62] [Impact Index Per Article: 20.7] [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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Coronary Computed Tomography Angiography for Assesment of Stable Coronary Artery Disease – a Cost-effectiveness Perspective. JOURNAL OF INTERDISCIPLINARY MEDICINE 2021. [DOI: 10.2478/jim-2021-0004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Patients with chest pain presenting to the emergency room are currently investigated using either invasive coronary angiography (ICA) or noninvasive coronary computed tomography angiography (CCTA). ICA remains an expensive diagnostic tool and exposes patients to a high risk of periprocedural complication. Besides the currently available expansive economic evidence, there is still an important lingering issue: to establish, from the healthcare provider’s point of view, which is the most cost-effective investigation tool for the detection of significant coronary artery disease. The aim of this article is to present the latest developments in the field of imaging tools for the detection of coronary atherosclerosis in patients with chest pain, from the perspective of a cost-effectiveness analysis.
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Andreini D, Mushtaq S, Conte E, Mei M, Nicoli F, Melotti E, Pompilio G, Pepi M, Bartorelli AL, Onuma Y, Serruys PW. The usefulness of cardiac CT integrated with FFRCT for planning myocardial revascularization in complex coronary artery disease: a lesson from SYNTAX studies. Cardiovasc Diagn Ther 2020; 10:2036-2047. [PMID: 33381442 PMCID: PMC7758756 DOI: 10.21037/cdt.2019.11.07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 11/20/2019] [Indexed: 11/06/2022]
Abstract
After two decades of clinical use, during which coronary CT angiography (CCTA) was considered an appropriate method for the non-invasive assessment of patients with suspected stable coronary artery disease (CAD) and low-to-intermediate pretest likelihood of CAD, a growing body of literature is showing that CCTA may have also a clinical role in patients with high pretest likelihood of CAD, known CAD and complex and diffuse CAD. Particularly, the SYNTAX studies demonstrated the usefulness of CCTA in the field of non-invasive assessment of these patients and planning of interventional and surgical coronary procedures, thanks to its ability to combine, in a single method, precise stenosis quantification, accurate plaque characterization, functional assessment and selection of the revascularization modality for any individual patient and of the vessels that need to be revascularized. Of note, the SYNTAX III Revolution trial showed, in patients with three-vessel CAD, that treatment decision-making between PCI and CABG based on CCTA only has an almost perfect agreement with the treatment decision derived from invasive coronary angiography (ICA). Moreover, the SYNTAX Score II demonstrated a high degree of correlation between the two diagnostic strategies, suggesting the potential feasibility of a treatment decision-making based solely on non-invasive imaging and clinical information. New research prospects have opened up for the future to demonstrate the true feasibility and safety of this innovative approach in the clinical arena.
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Affiliation(s)
- Daniele Andreini
- Monzino Cardiology Center, IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | | | | | | | | | | | - Giulio Pompilio
- Monzino Cardiology Center, IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Mauro Pepi
- Monzino Cardiology Center, IRCCS, Milan, Italy
| | - Antonio L. Bartorelli
- Monzino Cardiology Center, IRCCS, Milan, Italy
- Department of Biomedical and Clinical Sciences “Luigi Sacco”, University of Milan, Milan, Italy
| | | | - Patrick W. Serruys
- Department of Cardiology, Royal Brompton and Harefield Hospitals, Imperial College London, London, UK
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Mansour HH, Alajerami YS, Najim AA. Coronary computed tomography angiography versus invasive coronary angiography: medical staff perceptions and diagnostic interest in Gaza-Palestine. Ir J Med Sci 2020; 190:567-575. [PMID: 32978639 DOI: 10.1007/s11845-020-02376-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 09/22/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Invasive coronary angiography (ICA) and coronary computed tomography angiography (CCTA) are used in the diagnosis of coronary artery disease (CAD). The medical benefits, as well as the ethical and logistical implications, should be explored, particularly in the scarcity of medical resources. We explore the perception of medical staff toward the interest of CCTA and ICA in diagnosis CAD to maximize the utility of both procedures. METHODS A triangulated observational, analytical prospective cohort study carried out among patients suspected with CAD who underwent CCTA and ICA. The quantitative part included 381 patients (250 underwent ICA and 131 underwent CCTA). The qualitative part included a purposive sample of two radiologists, three cardiologists, and two medical imaging specialists. RESULTS Low diagnostic yield of the ICA through 31.3% and 39.7% diagnosed without CAD and non-significant CAD, respectively. Risk factors such as the family history of heart disease, obesity, high cholesterol, and diabetes were with high frequency in the patients with significant CAD. The sensitivity, specificity, PPV, and NPV of CCTA technique was 94.74%, 94.23%, 92.31%, and 96.08% respectively. Cardiologist's perceptions focused on radiation concerns and difficulties for convincing patients to perform the CCTA procedure. Radiologists and medical imaging specialists focused on complete cooperation from the cardiologist to better preparation of patients to perform optimal CCTA procedures. CONCLUSION Efficient diagnostic benefits of CCTA and overuse of ICA for stable CAD are documented. Clear diagnostic strategy with medical, ethical, and logistical issues should be considered when selecting the CCTA or ICA for diagnosis CAD.
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Affiliation(s)
- Husam H Mansour
- Radiology Department, Al-Shifa Hospital, Gaza, Palestine. .,Medical Imaging Department, Al-Azhar University, Gaza, Palestine.
| | | | - Ahmed A Najim
- Nursing Department, Al-Azhar University, Gaza, Palestine
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Baskaran L, Ying X, Xu Z, Al’Aref SJ, Lee BC, Lee SE, Danad I, Park HB, Bathina R, Baggiano A, Beltrama V, Cerci R, Choi EY, Choi JH, Choi SY, Cole J, Doh JH, Ha SJ, Her AY, Kepka C, Kim JY, Kim JW, Kim SW, Kim W, Lu Y, Kumar A, Heo R, Lee JH, Sung JM, Valeti U, Andreini D, Pontone G, Han D, Villines TC, Lin F, Chang HJ, Min JK, Shaw LJ. Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study. PLoS One 2020; 15:e0233791. [PMID: 32584909 PMCID: PMC7316297 DOI: 10.1371/journal.pone.0233791] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 05/12/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Machine learning (ML) is able to extract patterns and develop algorithms to construct data-driven models. We use ML models to gain insight into the relative importance of variables to predict obstructive coronary artery disease (CAD) using the Coronary Computed Tomographic Angiography for Selective Cardiac Catheterization (CONSERVE) study, as well as to compare prediction of obstructive CAD to the CAD consortium clinical score (CAD2). We further perform ML analysis to gain insight into the role of imaging and clinical variables for revascularization. METHODS For prediction of obstructive CAD, the entire ICA arm of the study, comprising 719 patients was used. For revascularization, 1,028 patients were randomized to invasive coronary angiography (ICA) or coronary computed tomographic angiography (CCTA). Data was randomly split into 80% training 20% test sets for building and validation. Models used extreme gradient boosting (XGBoost). RESULTS Mean age was 60.6 ± 11.5 years and 64.3% were female. For the prediction of obstructive CAD, the AUC was significantly higher for ML at 0.779 (95% CI: 0.672-0.886) than for CAD2 (0.696 [95% CI: 0.594-0.798]) (P = 0.01). BMI, age, and angina severity were the most important variables. For revascularization, the model obtained an overall area under the receiver-operation curve (AUC) of 0.958 (95% CI = 0.933-0.983). Performance did not differ whether the imaging parameters used were from ICA (AUC 0.947, 95% CI = 0.903-0.990) or CCTA (AUC 0.941, 95% CI = 0.895-0.988) (P = 0.90). The ML model obtained sensitivity and specificity of 89.2% and 92.9%, respectively. Number of vessels with ≥70% stenosis, maximum segment stenosis severity (SSS) and body mass index (BMI) were the most important variables. Exclusion of imaging variables resulted in performance deterioration, with an AUC of 0.705 (95% CI 0.614-0.795) (P <0.0001). CONCLUSIONS For obstructive CAD, the ML model outperformed CAD2. BMI is an important variable, although currently not included in most scores. In this ML model, imaging variables were most associated with revascularization. Imaging modality did not influence model performance. Removal of imaging variables reduced model performance.
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Affiliation(s)
- Lohendran Baskaran
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York, United States of America
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
- Department of Cardiovascular Medicine, National Heart Centre, Singapore, Singapore
| | - Xiaohan Ying
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
| | - Zhuoran Xu
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York, United States of America
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
| | - Subhi J. Al’Aref
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York, United States of America
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
| | - Benjamin C. Lee
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York, United States of America
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
| | - Sang-Eun Lee
- Division of Cardiology, Severance Cardiovascular Hospital, Integrative Cardiovascular Imaging Center, Yonsei University College of Medicine, Seoul, South Korea
| | | | - Hyung-Bok Park
- Myongji Hospital, Seonam University College of Medicine, Gyeonggi-do, South Korea
| | - Ravi Bathina
- CARE Hospital and FACTS Foundation, Hyderabad, India
| | | | | | | | | | | | - So-Yeon Choi
- Ajou University Hospital, Gyeonggi-do, South Korea
| | - Jason Cole
- Cardiology Associates of Mobile, Mobile, Alabama, United States of America
| | - Joon-Hyung Doh
- Inje University, Ilsan Paik Hospital, Gyeonggi-do, South Korea
| | - Sang-Jin Ha
- Gangneung Asan Hospital, Gangwon-do, South Korea
| | - Ae-Young Her
- Kangwon National University Hospital, Gangwon-do, South Korea
| | | | | | - Jin-Won Kim
- Korea University Guro Hospital, Seoul, South Korea
| | | | - Woong Kim
- Yeungnam University Hospital, Daegu, South Korea
| | - Yao Lu
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
| | - Amit Kumar
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
| | - Ran Heo
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Ji Hyun Lee
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
- Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea
| | - Ji-min Sung
- Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, South Korea
| | - Uma Valeti
- Department of Medicine, Stanford Medicine, Stanford, California, United States of America
| | | | | | - Donghee Han
- Department of Imaging, Cedars-Sinai Medical Center, Cedars-Sinai Heart Institute, Los Angeles, California, United States of America
| | - Todd C. Villines
- Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, United States of America
| | - Fay Lin
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York, United States of America
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
| | - Hyuk-Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Integrative Cardiovascular Imaging Center, Yonsei University College of Medicine, Seoul, South Korea
| | - James K. Min
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York, United States of America
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
- Cleerly, Inc, New York, New York, United States of America
| | - Leslee J. Shaw
- Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York, United States of America
- Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York, United States of America
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Yokota Y, Takeda C, Kidoh M, Oda S, Aoki R, Ito K, Morita K, Haraoka K, Yamashita Y, Iizuka H, Kato S, Tsujita K, Ikeda O, Yamashita Y, Utsunomiya D. Effects of Deep Learning Reconstruction Technique in High-Resolution Non-contrast Magnetic Resonance Coronary Angiography at a 3-Tesla Machine. Can Assoc Radiol J 2020; 72:120-127. [DOI: 10.1177/0846537119900469] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Purpose: To evaluate the effects of deep learning reconstruction (DLR) in qualitative and quantitative image quality of non-contrast magnetic resonance coronary angiography (MRCA). Methods: Ten healthy volunteers underwent conventional MRCA (C-MRCA) and high-resolution (HR) MRCA on a 3T magnetic resonance imaging with a voxel size of 1.8 × 1.1 × 1.7 mm3 and 1.8 × 0.6 × 1.0 mm3, respectively, for C-MRCA and HR-MRCA. High-resolution magnetic resonance coronary angiography was also reconstructed with the DLR technique (DLR-HR-MRCA). We compared the contrast-to-noise ratio (CNR) and visual evaluation scores for vessel sharpness and traceability of proximal and distal coronary vessels on a 4-point scale among 3 image series. Results: The vascular CNR value on the C-MRCA and the DLR-HR-MRCA was significantly higher than that on the HR-MRCA in the proximal and distal coronary arteries (13.9 ± 6.4, 11.3 ± 4.4, and 7.8 ± 2.6 for C-MRCA, DLR-HR-MRCA, and HR-MRCA, P < .05, respectively). Mean visual evaluation scores for the vessel sharpness and traceability of proximal and distal coronary vessels were significantly higher on the HR-DLR-MRCA than the C-MRCA ( P < .05, respectively). Conclusion: Deep learning reconstruction significantly improved the CNR of coronary arteries on HR-MRCA, resulting in both higher visual image quality and better vessel traceability compared with C-MRCA.
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Affiliation(s)
- Yasuhiro Yokota
- Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto-shi, Japan
| | - Chika Takeda
- Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama-shi, Japan
| | - Masafumi Kidoh
- Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto-shi, Japan
| | - Seitaro Oda
- Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto-shi, Japan
| | - Ryo Aoki
- Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama-shi, Japan
| | - Kenichi Ito
- Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama-shi, Japan
| | - Kosuke Morita
- Central Radiology, Kumamoto University Hospital, Kumamoto-shi, Japan
| | - Kentaro Haraoka
- MRI Systems Division, Canon Medical Systems Corporation, Kawasaki-shi, Japan
| | - Yuichi Yamashita
- MRI Systems Division, Canon Medical Systems Corporation, Kawasaki-shi, Japan
| | - Hitoshi Iizuka
- Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama-shi, Japan
| | - Shingo Kato
- Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama-shi, Japan
- Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama-shi, Japan
| | - Kenichi Tsujita
- Cardiovascular Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto-shi, Japan
| | - Osamu Ikeda
- Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto-shi, Japan
| | - Yasuyuki Yamashita
- Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto-shi, Japan
| | - Daisuke Utsunomiya
- Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama-shi, Japan
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Combined Femoral and Carotid Plaque Burden Identifies Obstructive Coronary Artery Disease in Women. J Am Soc Echocardiogr 2020; 33:90-100. [DOI: 10.1016/j.echo.2019.07.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 07/23/2019] [Accepted: 07/25/2019] [Indexed: 01/14/2023]
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31
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Basha MAA, Aly SA, Ismail AAA, Bahaaeldin HA, Shehata SM. The validity and applicability of CAD-RADS in the management of patients with coronary artery disease. Insights Imaging 2019; 10:117. [PMID: 31802266 PMCID: PMC6893004 DOI: 10.1186/s13244-019-0806-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 10/18/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The coronary artery disease reporting and data system (CAD-RADS) is designed for a uniform standardization of coronary computed tomography angiography (CCTA) reporting and further management recommendations of coronary artery disease (CAD). This study aimed to assess clinical validity, applicability, and reproducibility of CAD-RADS in the management of patients with CAD. METHODS AND RESULTS A single-center prospective study included 287 patients with clinically suspected or operated CAD who underwent CCTA. Four reviewers evaluated the CCTA images independently and assigned a CAD-RADS category to each patient. The invasive coronary angiography (ICA) was used as the reference standard for calculating diagnostic performance of CAD-RADS for categorizing the degree of coronary artery stenosis. The intra-class correlation (ICC) was used to test the inter-reviewer agreement (IRA). Reporting was provided to referring consultants according to the CAD-RADS. Based on ICA results, we have 156 patients with non-significant CAD and 131 patients with significant CAD. On a patient-based analysis, regarding those patients classified as CAD-RADS 4 and CAD-RADS 5 for predicting significant CAD, the CAD-RADS had a sensitivity, specificity, and an accuracy of 100%, 96.8 to 98.7%, and 98.3 to 99.3%, respectively, depending on the reviewer. There was an excellent IRA for CAD-RADS categories (ICC = 0.9862). The best cutoff value for predicting significant CAD was > CAD-RADS 3. Eighty-seven percentage of referring consultants considered CAD-RADS reporting system to be "quite helpful" or "completely helpful" for clinical decision-making in CAD. CONCLUSION CAD-RADS is valuable for improving CCTA structural reports and facilitating decision-making with high diagnostic accuracy and high reproducibility.
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Affiliation(s)
| | | | - Ahmad Abdel Azim Ismail
- Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Hanan A Bahaaeldin
- Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Samar Mohamad Shehata
- Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
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32
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Motion estimation and correction in cardiac CT angiography images using convolutional neural networks. Comput Med Imaging Graph 2019; 76:101640. [DOI: 10.1016/j.compmedimag.2019.06.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 05/07/2019] [Accepted: 06/04/2019] [Indexed: 11/18/2022]
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Weir-McCall JR, Wang R, Halankar J, Hsieh J, Hague CJ, Rosenblatt S, Fan Z, Sellers SL, Murphy DT, Blanke P, Xu L, Leipsic JA. Effect of a calcium deblooming algorithm on accuracy of coronary computed tomography angiography. J Cardiovasc Comput Tomogr 2019; 14:131-136. [PMID: 31378687 DOI: 10.1016/j.jcct.2019.07.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 07/06/2019] [Accepted: 07/24/2019] [Indexed: 12/01/2022]
Abstract
BACKGROUND Coronary artery calcification is a significant contributor to reduced accuracy of coronary computed tomographic angiography (CTA) in the assessment of coronary artery disease severity. The aim of the current study is to assess the impact of a prototype calcium deblooming algorithm on the diagnostic accuracy of CTA. METHODS 40 patients referred for invasive catheter angiography underwent CTA and invasive catheter angiography. The CTA were reconstructed using a standard soft tissue kernel (CTASTAND) and a deblooming algorithm (CTADEBLOOM). CTA studies were read with and without the deblooming algorithm blinded to the invasive coronary angiogram findings. Sensitivity, specificity, accuracy, positive predictive value and negative predictive value for the detection of stenosis ≥50% or ≥70% were evaluated using quantitative coronary angiography as the reference standard. Image quality was assessed using a 5-point scale, and the presence of image artifact recorded. RESULTS All studies were diagnostic with 548 segments available for evaluation. Image score was 3.64 ± 0.72 with CTADEBLOOM, versus 3.56 ± 0.72 with CTASTAND (p = 0.38). CTADEBLOOM had significantly less calcium blooming artifact than CTASTAND (12.5% vs. 47.5%, p = 0.001). Based on a 50% stenosis threshold for defining significant disease, the Sensitivity/Specificity/PPV/NPV/Accuracy were 65.9/84.9/27.6/96.6/83.4 for CTADEBLOOM and 75.0/81.9/26.6/97.4/81.4 for CTASTAND using a ≥50% threshold. CTADEBLOOM specificity was significantly higher than CTASTAND (84.9% vs. 81.5%, p = 0.03), with no difference between the algorithms in sensitivity (p = 0.22), or accuracy (p = 0.15). These results remained unchanged when a stenosis threshold of ≥70% was used. Interobserver agreement was fair with both techniques (CTADEBLOOM k = 0.38, CTASTAND k = 0.37). CONCLUSION In this proof of concept study, coronary calcification deblooming using a prototype post-processing algorithm is feasible and reduces calcium blooming with an improvement of the specificity of the CTA exam.
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Affiliation(s)
| | - Rui Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | | | - Jiang Hsieh
- GE Healthcare Technologies, Waukesha, WI, USA
| | | | | | - Zhanming Fan
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | | | | | | | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
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Chest pain in the absence of obstructive coronary artery disease. Int J Cardiol 2019; 280:19-28. [DOI: 10.1016/j.ijcard.2018.09.103] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 09/24/2018] [Accepted: 09/25/2018] [Indexed: 01/06/2023]
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Cademartiri F, Maffei E. Anatomy and physiology in coronary artery disease imaging. J Nucl Cardiol 2019; 26:569-573. [PMID: 28815422 DOI: 10.1007/s12350-017-1033-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 07/31/2017] [Indexed: 10/19/2022]
Affiliation(s)
- Filippo Cademartiri
- Cardiovascular Imaging Center - IRCCS SDN, Naples, Italy.
- Cardiovascular Imaging Center - Affidea, Padua, Italy.
- Department of Radiology, Erasmus Medical Center University, Rotterdam, The Netherlands.
| | - Erica Maffei
- Department of Radiology, Area Vasta 1/ASUR Marche, Urbino, Italy
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Litwin SE, Coles A, Pagidipati N, Lee KL, Pellikka PA, Mark DB, Udelson JE, Hoffmann U, Douglas PS. Effects of obesity on noninvasive test results in patients with suspected cardiac ischemia: Insights from the PROMISE trial. J Cardiovasc Comput Tomogr 2019; 13:211-218. [PMID: 30954400 DOI: 10.1016/j.jcct.2019.03.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 02/21/2019] [Accepted: 03/25/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Obesity is a risk factor for coronary artery disease (CAD), but adiposity may mimic symptoms of CAD and reduce the accuracy of diagnostic testing. METHODS Patients from the PROMISE trial (n = 8889) were classified according to body mass index (BMI). We assessed relationships between BMI, physician's preference of functional test, test positivity, and results of invasive coronary angiography (Cath) using logistic regression models. RESULTS Nearly half (48%) of the patients had BMI ≥ 30 kg/m2, and 20% had BMI ≥ 35. Providers were more likely to prefer nuclear myocardial perfusion imaging (MPI) over other functional tests as BMI increased. The rate of test positivity with coronary computed tomographic angiography (CTA) was not different (10% vs. 12%) in patients with BMI ≥35 vs. < 35. The same was true for stress echocardiogram and stress electrocardiogram (positivity 8-13%, P > 0.8 for both). In contrast, MPI was significantly more likely to be positive in those with BMI ≥35 vs. <35 (18% vs. 13%; P = 0.001). The likelihood of obstructive CAD at Cath did not differ with BMI ≥35 vs. <35 in patients having CTA (52% vs. 59%, P = 0.22), but among MPI patients, Cath positivity was only 29% with BMI ≥35 vs. 48% with BMI <35 (P = 0.005). Radiation exposure increased with higher BMI in both MPI and CTA groups. CONCLUSIONS Increasing levels of obesity adversely affect the diagnostic yield of MPI more than CTA. The degree of obesity should be considered when choosing evaluation strategies for patients with chest pain. CLINICAL TRIAL REGISTRATION PROMISE ClinicalTrials.gov number, NCT01174550.
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Affiliation(s)
- Sheldon E Litwin
- Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
| | - Adrian Coles
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
| | - Neha Pagidipati
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Kerry L Lee
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
| | | | - Daniel B Mark
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - James E Udelson
- Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA.
| | - Udo Hoffmann
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Pamela S Douglas
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
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Lossau T, Nickisch H, Wissel T, Bippus R, Schmitt H, Morlock M, Grass M. Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks. Med Image Anal 2018; 52:68-79. [PMID: 30471464 DOI: 10.1016/j.media.2018.11.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 11/05/2018] [Accepted: 11/09/2018] [Indexed: 10/27/2022]
Abstract
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiography. Artifacts due to cardiac motion may interfere with detection and diagnosis of coronary artery disease and render subsequent treatment decisions more difficult. We propose deep-learning-based measures for coronary motion artifact recognition and quantification in order to assess the diagnostic reliability and image quality of coronary CT angiography images. More specifically, the application, steering and evaluation of motion compensation algorithms can be triggered by these measures. A Coronary Motion Forward Artifact model for CT data (CoMoFACT) is developed and applied to clinical cases with excellent image quality to introduce motion artifacts using simulated motion vector fields. The data required for supervised learning is generated by the CoMoFACT from 17 prospectively ECG-triggered clinical cases with controlled motion levels on a scale of 0-10. Convolutional neural networks achieve an accuracy of 93.3% ± 1.8% for the classification task of separating motion-free from motion-perturbed coronary cross-sectional image patches. The target motion level is predicted by a corresponding regression network with a mean absolute error of 1.12 ± 0.07. Transferability and generalization capabilities are demonstrated by motion artifact measurements on eight additional CCTA cases with real motion artifacts.
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Affiliation(s)
- T Lossau
- Philips Research, Hamburg, Germany; Hamburg University of Technology, Germany.
| | | | - T Wissel
- Philips Research, Hamburg, Germany
| | - R Bippus
- Philips Research, Hamburg, Germany
| | | | - M Morlock
- Hamburg University of Technology, Germany
| | - M Grass
- Philips Research, Hamburg, Germany
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Levin DC, Parker L, Halpern EJ, Rao VM. Coronary CT Angiography: Reversal of Earlier Utilization Trends. J Am Coll Radiol 2018; 16:147-155. [PMID: 30158087 DOI: 10.1016/j.jacr.2018.07.022] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 07/11/2018] [Accepted: 07/20/2018] [Indexed: 11/30/2022]
Abstract
PURPOSE To assess recent trends in utilization of coronary CT angiography (CCTA), based upon place of service and provider specialty. MATERIALS AND METHODS The nationwide Medicare Part B master files for 2006 through 2016 were the data source. Current Procedural Terminology, version 4 codes for CCTA were selected. The files provided procedure volume for each code. Utilization rates per 100,000 Medicare fee-for-service enrollees were then calculated. Medicare's place-of-service codes were used to identify CCTAs performed in private offices, hospital outpatient departments (HOPDs), emergency departments (EDs), and inpatient settings. Physician specialty codes were used to identify CCTAs interpreted by radiologists, cardiologists, and all other physicians as a group. Medicare practice share was defined as the percent of total Medicare utilization that was billed by each specialty. RESULTS The total utilization rate of CCTA in the Medicare population rose sharply from 2006 to 2007, peaking at 210.3 per 100,000 enrollees in 2007. Radiologists' CCTA practice share in 2007 was 32%, compared with 60% for cardiologists. The overall utilization rate then declined to a nadir of 107.1 per 100,000 enrollees in 2013, but subsequently increased to 131.0 by 2016. By that year, radiologists' share of CCTA practice had risen to 58%, compared with 38% for cardiologists. HOPD utilization increased sharply since 2010, primarily among radiologists. In EDs and inpatient settings, greater utilization has also occurred recently, primarily among radiologists. By contrast, private office utilization has dropped sharply since 2007. CONCLUSION After years of declining utilization, the utilization rate of CCTA is now increasing, predominantly among radiologists.
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Affiliation(s)
- David C Levin
- Department of Radiology, Center for Research on Utilization of Imaging Services (CRUISE), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania; HealthHelp, Inc, Houston, Texas.
| | - Laurence Parker
- Department of Radiology, Center for Research on Utilization of Imaging Services (CRUISE), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Ethan J Halpern
- Department of Radiology, Center for Research on Utilization of Imaging Services (CRUISE), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Vijay M Rao
- Department of Radiology, Center for Research on Utilization of Imaging Services (CRUISE), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
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Pierro A, Cilla S, Totaro A, Ienco V, Sacra C, De Filippo CM, Sallustio G. ECG-gated CT angiography of the thoracic aorta: the importance of evaluating the coronary arteries. Clin Radiol 2018; 73:983.e1-983.e6. [PMID: 30041811 DOI: 10.1016/j.crad.2018.06.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 06/20/2018] [Indexed: 12/26/2022]
Abstract
AIM To evaluate the feasibility of coronary artery disease (CAD) evaluation using electrocardiogram-gated computed tomography CT of the thoracic aorta. MATERIALS AND METHODS A total of 477 patients, who underwent CT angiography of the thoracic aorta, were included retrospectively. Dose-length products (DLP) were recorded. Two blinded readers graded image quality of the coronary arteries on a three-point scale. Coronary artery stenosis has only been reported if considered significant, i.e., ≥50%. The type of plaque responsible for the stenosis was considered. The normal distribution of the data was assessed using Shapiro-Wilk and Anderson-Darling tests. Results were expressed as means and standard deviations and percentages. Inter-reader agreements were analysed by calculating the intraclass correlation coefficient, and by using Cohen kappa statistics. RESULTS The mean DLP was 566±90.4 mGy∙cm, corresponding to an effective dose of 9.6±1.5 mSv. Five point three percent of asymptomatic patients were positive for CAD with stenosis ≥50%. All patients with coronary stenosis presented with a soft plaque. Two anomalous coronary origins were found. The inter-reader agreement was excellent in defining both the quality of the examination and the degree of coronary stenosis (k=0.85). CONCLUSION The opportunity to prove the presence of CAD in asymptomatic patients during a ECG-gated CT of the thoracic aorta can have an extremely important clinical impact, promoting the best therapeutic pathway for the patient. Therefore, coronary arteries should always be analysed carefully and reported in ECG-gated CT angiography of the thoracic aorta.
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Affiliation(s)
- A Pierro
- Radiology Department, Fondazione di Ricerca e Cura "Giovanni Paolo II", Università Cattolica del Sacro Cuore, Campobasso, Italy.
| | - S Cilla
- Medical Physics Unit, Fondazione di Ricerca e Cura "Giovanni Paolo II", Università Cattolica del Sacro Cuore, Campobasso, Italy
| | - A Totaro
- Division of Cardiology, Fondazione di Ricerca e Cura "Giovanni Paolo II", Università Cattolica del Sacro Cuore, Campobasso, Italy
| | - V Ienco
- Division of Cardiology, Fondazione di Ricerca e Cura "Giovanni Paolo II", Università Cattolica del Sacro Cuore, Campobasso, Italy
| | - C Sacra
- Division of Cardiology, Fondazione di Ricerca e Cura "Giovanni Paolo II", Università Cattolica del Sacro Cuore, Campobasso, Italy
| | - C M De Filippo
- Departement of Cardiovascular Surgery, Fondazione di Ricerca e Cura "Giovanni Paolo II", Università Cattolica del Sacro Cuore, Campobasso, Italy
| | - G Sallustio
- Radiology Department, Fondazione di Ricerca e Cura "Giovanni Paolo II", Università Cattolica del Sacro Cuore, Campobasso, Italy
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Meinel FG, Schoepf UJ, Townsend JC, Flowers BA, Geyer LL, Ebersberger U, Krazinski AW, Kunz WG, Thierfelder KM, Baker DW, Khan AM, Fernandes VL, O'Brien TX. Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imaging. Sci Rep 2018; 8:9228. [PMID: 29907855 PMCID: PMC6003932 DOI: 10.1038/s41598-018-27347-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 05/09/2018] [Indexed: 11/18/2022] Open
Abstract
We aimed to determine the diagnostic yield and accuracy of coronary CT angiography (CCTA) in patients referred for invasive coronary angiography (ICA) based on clinical concern for coronary artery disease (CAD) and an abnormal nuclear stress myocardial perfusion imaging (MPI) study. We enrolled 100 patients (84 male, mean age 59.6 ± 8.9 years) with an abnormal MPI study and subsequent referral for ICA. Each patient underwent CCTA prior to ICA. We analyzed the prevalence of potentially obstructive CAD (≥50% stenosis) on CCTA and calculated the diagnostic accuracy of ≥50% stenosis on CCTA for the detection of clinically significant CAD on ICA (defined as any ≥70% stenosis or ≥50% left main stenosis). On CCTA, 54 patients had at least one ≥50% stenosis. With ICA, 45 patients demonstrated clinically significant CAD. A positive CCTA had 100% sensitivity and 84% specificity with a 100% negative predictive value and 83% positive predictive value for clinically significant CAD on a per patient basis in MPI positive symptomatic patients. In conclusion, almost half (48%) of patients with suspected CAD and an abnormal MPI study demonstrate no obstructive CAD on CCTA.
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Affiliation(s)
- Felix G Meinel
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Department of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany
| | - U Joseph Schoepf
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA. .,Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
| | | | | | - Lucas L Geyer
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Center for Radiology and Neuroradiology, Klinikum Ingolstadt, Ingolstadt, Germany
| | - Ullrich Ebersberger
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA
| | | | - Wolfgang G Kunz
- Department of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Kolja M Thierfelder
- Department of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany
| | - Deborah W Baker
- Charles George Veterans Affairs Medical Center, Asheville, NC, USA
| | - Ashan M Khan
- Department of Radiology, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA
| | - Valerian L Fernandes
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Department of Medicine, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA
| | - Terrence X O'Brien
- Heart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.,Department of Medicine, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA
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41
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Ramsey BC, Fentanes E, Choi AD, Branch KR, Thomas DM. Myocardial Assessment with Cardiac CT: Ischemic Heart Disease and Beyond. CURRENT CARDIOVASCULAR IMAGING REPORTS 2018; 11:16. [PMID: 29963220 PMCID: PMC5984644 DOI: 10.1007/s12410-018-9456-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW The aim of this review is to highlight recent advancements, current trends, and the expanding role for cardiac CT (CCT) in the evaluation of ischemic heart disease, nonischemic cardiomyopathies, and some specific congenital myocardial disease states. RECENT FINDINGS CCT is a highly versatile imaging modality for the assessment of numerous cardiovascular disease states. Coronary CT angiography (CCTA) is now a well-established first-line imaging modality for the exclusion of significant coronary artery disease (CAD); however, CCTA has modest positive predictive value and specificity for diagnosing obstructive CAD in addition to limited capability to evaluate myocardial tissue characteristics. SUMMARY CTP, when combined with CCTA, presents the potential for full functional and anatomic assessment with a single modality. CCT is a useful adjunct in select patients to both TTE and CMR in the evaluation of ventricular volumes and systolic function. Newer applications, such as dynamic CTP and DECT, are promising diagnostic tools offering the possibility of more quantitative assessment of ischemia. The superior spatial resolution and volumetric acquisition of CCT has an important role in the diagnosis of other nonischemic causes of cardiomyopathies.
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Affiliation(s)
- Bryan C. Ramsey
- Cardiology Division, Department of Medicine, San Antonio Military Medical Center, San Antonio, TX USA
| | - Emilio Fentanes
- Cardiology Division, Department of Medicine, Tripler Army Medical Center, Honolulu, HI USA
| | - Andrew D. Choi
- Division of Cardiology, Department of Radiology, The George Washington University School of Medicine, Washington, DC USA
| | | | - Dustin M. Thomas
- Cardiology Division, Department of Medicine, San Antonio Military Medical Center, San Antonio, TX USA
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42
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Healthcare Policy Statement on the Utility of Coronary Computed Tomography for Evaluation of Cardiovascular Conditions and Preventive Healthcare: From the Health Policy Working Group of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2017; 11:404-414. [DOI: 10.1016/j.jcct.2017.08.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 08/14/2017] [Accepted: 08/14/2017] [Indexed: 12/14/2022]
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Budoff MJ, Mayrhofer T, Ferencik M, Bittner D, Lee KL, Lu MT, Coles A, Jang J, Krishnam M, Douglas PS, Hoffmann U. Prognostic Value of Coronary Artery Calcium in the PROMISE Study (Prospective Multicenter Imaging Study for Evaluation of Chest Pain). Circulation 2017; 136:1993-2005. [PMID: 28847895 DOI: 10.1161/circulationaha.117.030578] [Citation(s) in RCA: 197] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 08/23/2017] [Indexed: 12/31/2022]
Abstract
BACKGROUND Coronary artery calcium (CAC) is an established predictor of future major adverse atherosclerotic cardiovascular events in asymptomatic individuals. However, limited data exist as to how CAC compares with functional testing (FT) in estimating prognosis in symptomatic patients. METHODS In the PROMISE trial (Prospective Multicenter Imaging Study for Evaluation of Chest Pain), patients with stable chest pain (or dyspnea) and intermediate pretest probability for obstructive coronary artery disease were randomized to FT (exercise electrocardiography, nuclear stress, or stress echocardiography) or anatomic testing. We evaluated those who underwent CAC testing as part of the anatomic evaluation (n=4209) and compared that with results of FT (n=4602). We stratified CAC and FT results as normal or mildly, moderately, or severely abnormal (for CAC: 0, 1-99 Agatston score [AS], 100-400 AS, and >400 AS, respectively; for FT: normal, mild=late positive treadmill, moderate=early positive treadmill or single-vessel ischemia, and severe=large ischemic region abnormality). The primary end point was all-cause death, myocardial infarction, or unstable angina hospitalization over a median follow-up of 26.1 months. Cox regression models were used to calculate hazard ratios (HRs) and C statistics to determine predictive and discriminatory values. RESULTS Overall, the distribution of normal or mildly, moderately, or severely abnormal test results was significantly different between FT and CAC (FT: normal, n=3588 [78.0%]; mild, n=432 [9.4%]; moderate, n=217 [4.7%]; severe, n=365 [7.9%]; CAC: normal, n=1457 [34.6%]; mild, n=1340 [31.8%]; moderate, n=772 [18.3%]; severe, n=640 [15.2%]; P<0.0001). Moderate and severe abnormalities in both arms robustly predicted events (moderate: CAC: HR, 3.14; 95% confidence interval, 1.81-5.44; and FT: HR, 2.65; 95% confidence interval, 1.46-4.83; severe: CAC: HR, 3.56; 95% confidence interval, 1.99-6.36; and FT: HR, 3.88; 95% confidence interval, 2.58-5.85). In the CAC arm, the majority of events (n=112 of 133, 84%) occurred in patients with any positive CAC test (score >0), whereas fewer than half of events occurred in patients with mildly, moderately, or severely abnormal FT (n=57 of 132, 43%; P<0.001). In contrast, any abnormality on FT was significantly more specific for predicting events (78.6% for FT versus 35.2% for CAC; P<0.001). Overall discriminatory ability in predicting the primary end point of mortality, nonfatal myocardial infarction, and unstable angina hospitalization was similar and fair for both CAC and FT (C statistic, 0.67 versus 0.64). Coronary computed tomographic angiography provided significantly better prognostic information compared with FT and CAC testing (C index, 0.72). CONCLUSIONS Among stable outpatients presenting with suspected coronary artery disease, most patients experiencing clinical events have measurable CAC at baseline, and fewer than half have any abnormalities on FT. However, an abnormal FT was more specific for cardiovascular events, leading to overall similarly modest discriminatory abilities of both tests. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov. Unique identifier: NCT01174550.
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Affiliation(s)
- Matthew J Budoff
- Los Angeles Biomedical Research Institute, Torrance, CA (M.J.B.)
| | - Thomas Mayrhofer
- Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston (T.M., M.F., D.B., M.T.L., U.H.).,School of Business Studies, Stralsund University of Applied Sciences, Germany (T.M.)
| | - Maros Ferencik
- Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston (T.M., M.F., D.B., M.T.L., U.H.).,Knight Cardiovascular Institute, Oregon Health and Science University, Portland (M.F.)
| | - Daniel Bittner
- Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston (T.M., M.F., D.B., M.T.L., U.H.).,Friedrich-Alexander University Erlangen-Nürnberg, Department of Cardiology, University Hospital Erlangen, Germany (D.B.)
| | - Kerry L Lee
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (K.L.L., A.C., P.S.D.)
| | - Michael T Lu
- Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston (T.M., M.F., D.B., M.T.L., U.H.)
| | - Adrian Coles
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (K.L.L., A.C., P.S.D.)
| | - James Jang
- Kaiser Permanente Medical Group, San Jose, CA (J.J.)
| | - Mayil Krishnam
- Department of Radiology, University of California, Irvine Medical Center, CA (M.K.)
| | - Pamela S Douglas
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (K.L.L., A.C., P.S.D.)
| | - Udo Hoffmann
- Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston (T.M., M.F., D.B., M.T.L., U.H.)
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Leukemic Ischemia: A Case of Myocardial Infarction Secondary to Leukemic Cardiac Involvement. Case Rep Cardiol 2017; 2017:7298347. [PMID: 28848680 PMCID: PMC5564183 DOI: 10.1155/2017/7298347] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Accepted: 07/09/2017] [Indexed: 11/17/2022] Open
Abstract
We report a case of a 39-year-old male who presented to the emergency department with acute chest pain while being in remission from T-cell acute lymphoblastic leukemia (T-ALL). Cardiac markers were elevated and EKG revealed ischemic changes compatible with acute myocardial ischemia. Coronary computed tomography angiography (CCTA) showed calcium-free coronary arteries and soft tissue myocardial infiltration suggestive of cardiac leukemia. A bone marrow biopsy confirmed recurrence of T-ALL, and patient was successfully treated with chemotherapy. We discuss the prospective diagnosis of myopericardial leukemic involvement and the role of CCTA in diagnosis and perform a literature review.
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45
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Shaw LJ. SCCT and CTA - The future is now. J Cardiovasc Comput Tomogr 2017; 11:247-248. [PMID: 28420591 DOI: 10.1016/j.jcct.2017.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Leslee J Shaw
- Room 529, 1462 Clifton Road NE, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, United States.
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46
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Arbab-Zadeh A. Stress testing and non-invasive coronary angiography in patients with suspected coronary artery disease: time for a new paradigm. Heart Int 2012; 7:e2. [PMID: 22690295 PMCID: PMC3366298 DOI: 10.4081/hi.2012.e2] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2011] [Accepted: 12/21/2011] [Indexed: 01/07/2023] Open
Abstract
Diagnosis and management of coronary artery disease represents major challenges to our health care system, affecting millions of patients each year. Until recently, the diagnosis of coronary artery disease was possible only through cardiac catheterization and invasive coronary angiography. To avoid the risks of an invasive procedure, stress testing is often employed for an initial assessment of patients with suspected coronary artery disease, serving as a gatekeeper for cardiac catheterization. With the emergence of non-invasive coronary angiography, the question arises if such a strategy is still sensible, particularly, in view of only a modest agreement between stress testing results and the presence of coronary artery disease established by cardiac catheterization. Much data in support of the diagnostic accuracy and prognostic value of non-invasive coronary angiography by computed tomography have emerged within the last few years. These data challenge the role of stress testing as the initial imaging modality in patients with suspected coronary artery disease. This article reviews the clinical utility, limitations, as well as the hazards of stress testing compared with non-invasive coronary artery imaging by computed tomography. Finally, the implications of this review are discussed in relation to clinical practice.
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