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Zhu H, Wu H, Zhang S, Fang K, Xie G, Zheng Y, Qiu J, Liu F, Miao Z, Yuan X, Chen W, He L. Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2025:10.1007/s10554-025-03408-8. [PMID: 40287548 DOI: 10.1007/s10554-025-03408-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Accepted: 04/21/2025] [Indexed: 04/29/2025]
Abstract
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient contrast between coronary arteries and surrounding tissues. These technical challenges impede fast and automatic coronary artery segmentation. To tackle these issues, we propose a self-configuring deep learning-based approach for automating the segmentation of coronary arteries in MRCA images. The nnU-Net model was trained on MRCA data from 134 subjects and tested on data from 114 subjects. Two radiologists qualitatively evaluated all segmented arteries as good to excellent. Using coronary computed tomography angiography (CCTA) data from the 114 tested subjects as the gold standard. Specifically, we compared the number of branches, the total branch length, and the distance from the base of the coronary sinus to the origin of the corresponding main coronary artery obtained from manual and artificial intelligence measurements in MRCA images with those obtained from CCTA. Experiment results demonstrated that in validation nnU-Net can accurately segment from MRCA images with the Dice score of 0.903 and 0.962 for major coronary arteries and aorta, respectively.In Testing, nnU-Net achieved the Dice score of 0.726 and 0.890 for major coronary arteries and aorta, respectively. Integrating MRCA with nnU-Net to extract coronary arteries offers a non-invasive screening tool for the detection of coronary heart disease, potentially enhancing early detection and reducing reliance from CCTA.
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Affiliation(s)
- Huiming Zhu
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | - Huizhong Wu
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | - Shike Zhang
- The Sixth People's Hospital of Huizhou, Huizhou, China.
| | - Kuaifa Fang
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | - Guoxi Xie
- Guangzhou Medical University, Guangzhou, China
| | - Yekun Zheng
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | - Jinxing Qiu
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | - Feng Liu
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | - Zhenmin Miao
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | | | - Weibo Chen
- The Sixth People's Hospital of Huizhou, Huizhou, China
| | - Lincheng He
- The Sixth People's Hospital of Huizhou, Huizhou, China
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Shiomi T, Nakayama R, Hizukuri A, Takafuji M, Ishida M, Sakuma H. Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms. Radiol Phys Technol 2025; 18:219-226. [PMID: 39738880 DOI: 10.1007/s12194-024-00875-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2024] [Revised: 12/13/2024] [Accepted: 12/23/2024] [Indexed: 01/02/2025]
Abstract
This study aims to develop a computerized classification method for significant coronary artery stenosis on whole-heart coronary magnetic resonance angiography (WHCMRA) images using a 3D convolutional neural network (3D-CNN) with attention mechanisms. The dataset included 951 segments from WHCMRA images of 75 patients who underwent both WHCMRA and invasive coronary angiography (ICA). Forty-two segments with significant stenosis (luminal diameter reduction ≥ 75%) on ICA were annotated on WHCMRA images by an experienced radiologist, whereas 909 segments without it were annotated at representative sites. Volumes of interest (VOIs) of 21 × 21 × 21 voxels centered on annotated points were extracted. The network comprises two feature extractors, two attention mechanisms (for the coronary artery and annotated points), and a classifier. The feature extractors first extracted the feature maps from the VOI. The two attention mechanisms weighted the feature maps of the coronary artery and those the neighborhood of the annotated point, respectively. The classifier finally classified the VOIs into those with and without significant coronary artery stenosis. Using fivefold cross-validation, the classification accuracy, sensitivity, specificity, and AUROC (area under the receiver operating characteristic curve) were 0.875, 0.905, 0.873, and 0.944, respectively. The proposed method showed high classification performance for significant coronary artery stenosis and appears to have a substantial impact on the interpretation of WHCMRA images.
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Affiliation(s)
- Takuma Shiomi
- Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga, 525-8577, Japan
| | - Ryohei Nakayama
- Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga, 525-8577, Japan.
| | - Akiyoshi Hizukuri
- Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga, 525-8577, Japan
| | - Masafumi Takafuji
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Masaki Ishida
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Hajime Sakuma
- Department of Radiology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
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Nonaka H, Tahara M, Yoshiura T, Urayama K, Okano M, Morikawa Y, Morita R, Sato T. Long-Term Coronary Artery Evaluation Using Noncontrast-Enhanced Magnetic Resonance Angiography in Patients with Kawasaki Disease. Pediatr Cardiol 2024:10.1007/s00246-024-03742-z. [PMID: 39719460 DOI: 10.1007/s00246-024-03742-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Accepted: 12/12/2024] [Indexed: 12/26/2024]
Abstract
To evaluate the use of noncontrast-enhanced coronary magnetic resonance angiography (NC-CMRA) for long-term follow-up in patients with Kawasaki disease (KD). In total, 40 (77 aneurysms) patients with KD who underwent NC-CMRA were retrospectively analyzed. Coronary artery aneurysms and dilations observed during the acute phase were classified into three groups according to their diameter based on the American Heart Association criteria. The prevalence of coronary artery stenotic lesions was evaluated using the Kaplan-Meier method (log-rank test). The agreement in the coronary artery stenosis rates between NC-CMRA and coronary angiography (CAG) was examined via Brand-Altman analysis and intraclass correlation coefficients (ICC). In patients with large or giant aneurysms, the prevalence of coronary artery stenotic lesions was 26.3% at 10 years, 53.2% at 15 years, and 71.9% at 20 years. In patients with medium aneurysms, the prevalence of coronary artery stenotic lesions was 8.4% at 10 and 15 years and 23.7% at 20 years. Patients with small aneurysms did not exhibit stenotic lesions. Patients with large or giant aneurysms had significantly higher rate of coronary stenotic lesions than those with medium and small aneurysms (p < 0.05). All 16 stenotic lesions detected on NC-CMRA were consistent with those observed on CAG, and the coronary artery stenotic rate had moderate consistency (ICC 0.65). In KD, the detection of coronary artery stenosis using NC-CMRA was consistent with that using CAG. Therefore, NC-CMRA can be a better alternative following echocardiography for long-term coronary artery evaluation in patients with KD.
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Affiliation(s)
- Haruki Nonaka
- Department of Radiological Technology, Tsuchiya General Hospital, 3-30 Nakajima-Cho, Naka-Ku, Hiroshima, 730-8655, Japan.
| | - Masahiro Tahara
- Hiroshima Central Street Children's Clinic, 7-1-3F Mikawa-Cho, Naka-Ku, Hiroshima, 730-0029, Japan
| | - Takayuki Yoshiura
- Department of Radiological Technology, Tsuchiya General Hospital, 3-30 Nakajima-Cho, Naka-Ku, Hiroshima, 730-8655, Japan
| | - Kotaro Urayama
- Department of Pediatric Cardiology, Tsuchiya General Hospital, 3-30 Nakajima-Cho, Naka-Ku, Hiroshima, 730-8655, Japan
| | - Mio Okano
- Department of Radiological Technology, Tsuchiya General Hospital, 3-30 Nakajima-Cho, Naka-Ku, Hiroshima, 730-8655, Japan
| | - Yuko Morikawa
- Department of Radiological Technology, Tsuchiya General Hospital, 3-30 Nakajima-Cho, Naka-Ku, Hiroshima, 730-8655, Japan
| | - Risa Morita
- Department of Pediatric Cardiology, Tsuchiya General Hospital, 3-30 Nakajima-Cho, Naka-Ku, Hiroshima, 730-8655, Japan
| | - Tomoyasu Sato
- Department of Diagnostic Radiology, Tsuchiya General Hospital, 3-30 Nakajima-Cho, Naka-Ku, Hiroshima, 730-8655, Japan
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Ota H, Morita Y, Vucevic D, Higuchi S, Takagi H, Kutsuna H, Yamashita Y, Kim P, Miyazaki M. Motion robust coronary MR angiography using zigzag centric ky-kz trajectory and high-resolution deep learning reconstruction. MAGMA (NEW YORK, N.Y.) 2024; 37:1105-1117. [PMID: 38916681 DOI: 10.1007/s10334-024-01172-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/28/2024] [Accepted: 05/27/2024] [Indexed: 06/26/2024]
Abstract
PURPOSE To develop a new MR coronary angiography (MRCA) technique by employing a zigzag fan-shaped centric ky-kz k-space trajectory combined with high-resolution deep learning reconstruction (HR-DLR). METHODS All imaging data were acquired from 12 healthy subjects and 2 patients using two clinical 3-T MR imagers, with institutional review board approval. Ten healthy subjects underwent both standard 3D fast gradient echo (sFGE) and centric ky-kz k-space trajectory FGE (cFGE) acquisitions to compare the scan time and image quality. Quantitative measures were also performed for signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) as well as sharpness of the vessel. Furthermore, the feasibility of the proposed cFGE sequence was assessed in two patients. For assessing the feasibility of the centric ky-kz trajectory, the navigator-echo window of a 30-mm threshold was applied in cFGE, whereas sFGE was applied using a standard 5-mm threshold. Image quality of MRCA using cFGE with HR-DLR and sFGE without HR-DLR was scored in a 5-point scale (non-diagnostic = 1, fair = 2, moderate = 3, good = 4, and excellent = 5). Image evaluation of cFGE, applying HR-DLR, was compared with sFGE without HR-DLR. Friedman test, Wilcoxon signed-rank test, or paired t tests were performed for the comparison of related variables. RESULTS The actual MRCA scan time of cFGE with a 30-mm threshold was acquired in less than 5 min, achieving nearly 100% efficiency, showcasing its expeditious and robustness. In contrast, sFGE was acquired with a 5-mm threshold and had an average scan time of approximately 15 min. Overall image quality for MRCA was scored 3.3 for sFGE and 2.7 for cFGE without HR-DLR but increased to 3.6 for cFGE with HR-DLR and (p < 0.05). The clinical result of patients obtained within 5 min showed good quality images in both patients, even with a stent, without artifacts. Quantitative measures of SNR, CNR, and sharpness of vessel presented higher in cFGE with HR-DLR. CONCLUSION Our findings demonstrate a robust, time-efficient solution for high-quality MRCA, enhancing patient comfort and increasing clinical throughput.
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Affiliation(s)
- Hideki Ota
- Department of Advanced Radiological Imaging Collaborative Research, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
| | - Yoshiaki Morita
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
- Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Diana Vucevic
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Satoshi Higuchi
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
| | - Hidenobu Takagi
- Department of Advanced Radiological Imaging Collaborative Research, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Department of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan
| | | | | | - Paul Kim
- Department of Cardiology, University of California, San Diego, La Jolla, CA, USA
| | - Mitsue Miyazaki
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
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Vrints C, Andreotti F, Koskinas KC, Rossello X, Adamo M, Ainslie J, Banning AP, Budaj A, Buechel RR, Chiariello GA, Chieffo A, Christodorescu RM, Deaton C, Doenst T, Jones HW, Kunadian V, Mehilli J, Milojevic M, Piek JJ, Pugliese F, Rubboli A, Semb AG, Senior R, Ten Berg JM, Van Belle E, Van Craenenbroeck EM, Vidal-Perez R, Winther S. 2024 ESC Guidelines for the management of chronic coronary syndromes. Eur Heart J 2024; 45:3415-3537. [PMID: 39210710 DOI: 10.1093/eurheartj/ehae177] [Citation(s) in RCA: 120] [Impact Index Per Article: 120.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
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Lu H, Zhao S, Tian D, Chen Y, Ma J, Ge M, Zeng M, Jin H. A clinical strategy to improve the diagnostic performance of 3T non-contrast coronary MRA and noninvasively evaluate coronary distensibility: combination of diastole and systole imaging. J Cardiovasc Magn Reson 2023; 25:67. [PMID: 37993897 PMCID: PMC10666457 DOI: 10.1186/s12968-023-00982-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 11/12/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND The clinical application of coronary MR angiography (MRA) combining diastole and systole imaging has never been described comprehensively in coronary artery disease (CAD) patients. We aimed to design an optimal non-contrast coronary MRA scan protocol combining diastolic and systolic imaging and to (1) evaluate its diagnostic performance for detecting significant coronary stenosis; (2) evaluate the feasibility of this protocol to noninvasively measure the coronary distensibility index (CDI). METHODS From June 2021 to May 2022, 33 healthy volunteers and 91 suspected CAD patients scheduled for X-ray coronary angiography (CAG) were prospectively enrolled. 3T non-contrast water-fat coronary MRA was carried out twice at diastole and systole. Significant coronary stenosis was defined as a luminal diameter reduction of ≥ 50% using CAG as the reference and was evaluated as follows: (1) by coronary MRA in diastole alone; (2) by coronary MRA in systole alone; (3) by combined coronary MRA in diastole and systole. According to CAG, the patients were divided into significant CAD patients and non-significant CAD patients. The difference in CDI among participants was evaluated. RESULTS Combined coronary MRA was completed in 31 volunteers and 76 patients. The per-patient sensitivity, specificity, and accuracy of combined coronary MRA were 97.5%, 83.3%, and 90.8%, respectively. Compared with single diastolic mode, combined coronary MRA showed equally high sensitivity but improved specificity on a per-patient basis (83.3% vs. 63.9%, adjusted P = 0.013). The CDI tested by coronary MRA decreased incrementally from healthy volunteers to non-significant and significant CAD patients. CONCLUSION Compared with single-phase mode, 3 T non-contrast combined coronary MRA significantly improved specificity and may have potential to be a simple noninvasive method to measure CDI.
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Affiliation(s)
- Hongfei Lu
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Shanghai, 200032, China
| | - Shihai Zhao
- Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai, 200237, China
| | - Di Tian
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Shanghai, 200032, China
| | - Yinyin Chen
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Shanghai, 200032, China
| | - Jianying Ma
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Meiying Ge
- Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai, 200237, China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Shanghai, 200032, China.
- Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai, 200237, China.
| | - Hang Jin
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Shanghai, 200032, China.
- Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai, 200237, China.
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Wu X, Deng L, Li W, Peng P, Yue X, Tang L, Pu Q, Ming Y, Zhang X, Huang X, Chen Y, Huang J, Sun J. Deep Learning-Based Acceleration of Compressed Sensing for Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease. J Magn Reson Imaging 2023; 58:1521-1530. [PMID: 36847756 DOI: 10.1002/jmri.28653] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/06/2023] [Accepted: 02/06/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND The clinical application of coronary MR angiography (MRA) remains limited due to its long acquisition time and often unsatisfactory image quality. A compressed sensing artificial intelligence (CSAI) framework was recently introduced to overcome these limitations, but its feasibility in coronary MRA is unknown. PURPOSE To evaluate the diagnostic performance of noncontrast-enhanced coronary MRA with CSAI in patients with suspected coronary artery disease (CAD). STUDY TYPE Prospective observational study. POPULATION A total of 64 consecutive patients (mean age ± standard deviation [SD]: 59 ± 10 years, 48.4% females) with suspected CAD. FIELD STRENGTH/SEQUENCE A 3.0-T, balanced steady-state free precession sequence. ASSESSMENT Three observers evaluated the image quality for 15 coronary segments of the right and left coronary arteries using a 5-point scoring system (1 = not visible; 5 = excellent). Image scores ≥3 were considered diagnostic. Furthermore, the detection of CAD with ≥50% stenosis was evaluated in comparison to reference standard coronary computed tomography angiography (CTA). Mean acquisition times for CSAI-based coronary MRA were measured. STATISTICAL TESTS For each patient, vessel and segment, sensitivity, specificity, and diagnostic accuracy of CSAI-based coronary MRA for detecting CAD with ≥50% stenosis according to coronary CTA were calculated. Intraclass correlation coefficients (ICCs) were used to assess the interobserver agreement. RESULTS The mean MR acquisition time ± SD was 8.1 ± 2.4 minutes. Twenty-five (39.1%) patients had CAD with ≥50% stenosis on coronary CTA and 29 (45.3%) patients on MRA. A total of 885 segments on the CTA images and 818/885 (92.4%) coronary MRA segments were diagnostic (image score ≥3). The sensitivity, specificity, and diagnostic accuracy were as follows: per patient (92.0%, 84.6%, and 87.5%), per vessel (82.9%, 93.4%, and 91.1%), and per segment (77.6%, 98.2%, and 96.6%), respectively. The ICCs for image quality and stenosis assessment were 0.76-0.99 and 0.66-1.00, respectively. DATA CONCLUSION The image quality and diagnostic performance of coronary MRA with CSAI may show good results in comparison to coronary CTA in patients with suspected CAD. EVIDENCE LEVEL 1. TECHNICAL EFFICACY 2.
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Affiliation(s)
- Xi Wu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Liping Deng
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wanjiang Li
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Pengfei Peng
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xun Yue
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Lu Tang
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qian Pu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yue Ming
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiaoyong Zhang
- Clinical Science, Philips Healthcare, Chengdu, Sichuan, China
| | - Xiaohua Huang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Yucheng Chen
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Juan Huang
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Jiayu Sun
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Kato S, Azuma M, Nakayama N, Fukui K, Ito M, Saito N, Horita N, Utsunomiya D. Diagnostic accuracy of whole heart coronary magnetic resonance angiography: a systematic review and meta-analysis. J Cardiovasc Magn Reson 2023; 25:36. [PMID: 37357310 PMCID: PMC10291762 DOI: 10.1186/s12968-023-00949-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/15/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND The purpose of this meta-analysis was to comprehensively investigate the diagnostic ability of 1.5 T and 3.0 T whole heart coronary angiography (WHCA) to detect significant coronary artery disease (CAD) on X-ray coronary angiography. METHODS A literature search of electronic databases, including PubMed, Web of Science Core Collection, Cochrane advanced search, and EMBASE, was performed to retrieve and integrate articles showing significant CAD detectability of 1.5 and 3.0 T WHCA. RESULTS Data from 1899 patients from 34 studies were included in the meta-analysis. 1.5 T WHCA had a summary area under ROC of 0.88 in the patient-based analysis, 0.90 in the vessel-based analysis, and 0.92 in the segment-based analysis. These values for 3.0 T WHCA were 0.94, 0.95, 0.96, respectively. Contrast-enhanced 3.0 T WHCA had significantly higher specificity than non-contrast-enhanced 1.5 T WHCA on a patient-based analysis (0.87, 95% CI 0.80-0.92 vs. 0.74, 95% CI 0.64-0.82, P = 0.02). There were no differences in diagnostic performance on a patient-based analysis by use of vasodilators, beta-blockers or between Asian and Western countries. CONCLUSIONS The diagnostic performance of WHCA was deemed satisfactory, with contrast-enhanced 3.0 T WHCA exhibiting higher specificity compared to non-contrast-enhanced 1.5 T WHCA in a patient-based analysis. There were no significant differences in diagnostic performance on a patient-based analysis in terms of vasodilator or beta-blocker use, nor between Asian and Western countries. However, further large-scale multicentre studies are crucial for the widespread global adoption of WHCA.
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Affiliation(s)
- Shingo Kato
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
| | - Mai Azuma
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Naoki Nakayama
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Kazuki Fukui
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Masanori Ito
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Naka Saito
- Department of Clinical Laboratory, Kanagawa Children's Medical Center, Yokohama, Japan
| | - Nobuyuki Horita
- Chemotherapy Center, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Daisuke Utsunomiya
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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Abstract
Coronary artery fistulas are uncommon but clinically important entities that may produce symptoms and significant complications such as angina, myocardial infarction, coronary artery aneurysm formation, and congestive heart failure. Multiple fistula types have been recognized, and classification uses factors such as etiology, coronary artery origin, and drainage site. Both invasive and noninvasive imaging play an important role in the management and treatment of these patients, and often times, more than one modality is necessary for comprehensive evaluation of coronary fistulas. Recent advances in both functional and anatomic imaging will likely also play a growing role in fistula evaluation. The purpose of this article is to review the classification, pathophysiology, clinical presentations, imaging findings, treatment, and future imaging directions of coronary artery fistulas.
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Tang S, Zhang G, Chen Z, Liu X, He L. Application of prospective ECG-gated multiphase scanning for coronary CT in children with different heart rates. Jpn J Radiol 2021; 39:946-955. [PMID: 34046853 DOI: 10.1007/s11604-021-01133-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/05/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND To investigate the application of prospective ECG-gated multiphase scanning in coronary CT imaging in children with different heart rates. METHODS In the control group, 160 children aged 2-4 years who underwent a coronary CT examination in our hospital from May 2016 to December 2017 were retrospectively selected. They were divided into five subgroups according to their heart rate frequency: 75-85 beats/min, 86-95 beats/min, 96-105 beats/min, and 106-120 beats/min. There were 40 children in each subgroup. Each child was treated with retrospective ECG-gated scanning technology. Six groups of phase images were reconstructed: 40%, 45%, 50%, 70%, 75% and 80%. The optimal phase was selected for coronary artery reconstruction. In the study group, 240 children aged 2-4 years who underwent coronary artery CT examination in our hospital from January 2018 to May 2019 were prospectively selected and divided into five subgroups according to the heart rate frequency: 75-85 beats/min, 86-95 beats/min, 96-105 beats/min, and 106-120 beats/min. There were 60 children in each subgroup. A prospective ECG-gated multiphase scanning technique was used to reconstruct 70%, 75% and 80% phase images in the subgroups with heart rates < 85/min. In the remaining subgroups, 40%, 45% and 50% phase images were reconstructed, and the optimal phase was selected for coronary artery reconstruction. The scanning parameters, dosage of contrast medium and injection mode of contrast medium were the same in both groups. The radiation dose and image quality of the coronary artery were compared between the two groups at the same heart rate. RESULTS When comparing the two groups at the same heart rate, the radiation dose in the study group was 72% lower than that in the control group (P < 0.05). There was no significant difference in coronary artery image quality between the two groups at the optimal phase (P > 0.05). CONCLUSIONS Applying prospective ECG-gated multiphase scanning technology to children's coronary CT imaging can significantly reduce the scanning radiation dose without affecting the quality of the coronary artery image.
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Affiliation(s)
- Shilong Tang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400014, China
| | - Guanping Zhang
- Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Zhuo Chen
- Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Xianfan Liu
- Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Ling He
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400014, China.
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Zahergivar A, Kocher M, Waltz J, Kabakus I, Chamberlin J, Akkaya S, Agha AM, Schoepf UJ, Burt JR. The diagnostic value of non-contrast magnetic resonance coronary angiography in the assessment of coronary artery disease: A systematic review and meta-analysis. Heliyon 2021; 7:e06386. [PMID: 33817362 PMCID: PMC8010401 DOI: 10.1016/j.heliyon.2021.e06386] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 12/28/2020] [Accepted: 02/24/2021] [Indexed: 11/29/2022] Open
Abstract
Purpose The current literature reports a wide range of diagnostic accuracy of non-contrast magnetic resonance coronary angiography (NC-MRCA) for the assessment of coronary artery disease (CAD). We aimed to compare the clinical effectiveness of NC-MRCA with that of invasive coronary angiography (ICA) in patients with suspected CAD using a systematic review and meta-analysis. Methods Two investigators independently extracted 36 published manuscripts between 2010 and 2019. Databases including Medline, Web of Knowledge, Google Scholar, Scopus, and Cochrane were searched using pre-established keywords. Analysis of the data followed the PRISMA statement for reporting systematic reviews and meta-analyses and primary analysis followed the Mantel-Hansel methodology. Correctness of classification for detecting coronary artery stenosis ≥50% (CAS) was measured using ICA as the gold standard. Results A total of five studies met inclusion criteria, with a total of 417 patients and 2883 coronary segments. The pooled per patient sensitivity and specificity of NC-MRCA for CAS in suspected patients was 90.3% (95% CI 85.6–95.1%) and 77.9% (95% CI 69.5–86.3%). Pooled per vessel assessment of NC- MRCA revealed a sensitivity of 83.7% (95%CI 79.7–87.8%) and specificity of 90.0% (95%CI 86.7–93.4%). Per-segment assessment of NC-MRCA showed a pooled sensitivity of 81.6% (95% CI 76.8–86.4) and specificity of 97.0% (95% CI 95.5–98.5). Mild to moderate heterogeneity was noted in most diagnostic parameters with larger heterogeneity noted in the per-segment analyses. There was less heterogeneity in sensitivity and NPV than specificity and PPV. Conclusion According to this meta-analysis, non-contrast coronary MRA resulted in adequate screening in patients with suspected CAD with high sensitivity and specificity. This result was true for per-patient, per-vessel, and per-segment assessment.
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Affiliation(s)
- Aryan Zahergivar
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Madison Kocher
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Jeffrey Waltz
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Ismail Kabakus
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Jordan Chamberlin
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Selcuk Akkaya
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Ali M Agha
- Department of Internal Medicine, Division of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - U Joseph Schoepf
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
| | - Jeremy R Burt
- Department of Radiology, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC, USA
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12
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Heerfordt J, Whitehead KK, Bastiaansen JAM, Di Sopra L, Roy CW, Yerly J, Milani B, Fogel MA, Stuber M, Piccini D. Similarity-driven multi-dimensional binning algorithm (SIMBA) for free-running motion-suppressed whole-heart MRA. Magn Reson Med 2021; 86:213-229. [PMID: 33624348 DOI: 10.1002/mrm.28713] [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: 07/13/2020] [Revised: 12/19/2020] [Accepted: 01/11/2021] [Indexed: 12/27/2022]
Abstract
PURPOSE Whole-heart MRA techniques typically target predetermined motion states, address cardiac and respiratory dynamics independently, and require either complex planning or computationally demanding reconstructions. In contrast, we developed a fast data-driven reconstruction algorithm with minimal physiological assumptions and compatibility with ungated free-running sequences. THEORY AND METHODS We propose a similarity-driven multi-dimensional binning algorithm (SIMBA) that clusters continuously acquired k-space data to find a motion-consistent subset for whole-heart MRA reconstruction. Free-running 3D radial data sets from 12 non-contrast-enhanced scans of healthy volunteers and six ferumoxytol-enhanced scans of pediatric cardiac patients were reconstructed with non-motion-suppressed regridding of all the acquired data ("All Data"), with SIMBA, and with a previously published free-running framework (FRF) that uses cardiac and respiratory self-gating and compressed sensing. Images were compared for blood-myocardium sharpness and contrast ratio, visibility of coronary artery ostia, and right coronary artery sharpness. RESULTS Both the 20-second SIMBA reconstruction and FRF provided significantly higher blood-myocardium sharpness than All Data in both patients and volunteers (P < .05). The SIMBA reconstruction provided significantly sharper blood-myocardium interfaces than FRF in volunteers (P < .001) and higher blood-myocardium contrast ratio than All Data and FRF, both in volunteers and patients (P < .05). Significantly more ostia could be visualized with both SIMBA (31 of 36) and FRF (34 of 36) than with All Data (4 of 36) (P < .001). Inferior right coronary artery sharpness using SIMBA versus FRF was observed (volunteers: SIMBA 36.1 ± 8.1%, FRF 40.4 ± 8.9%; patients: SIMBA 35.9 ± 7.7%, FRF 40.3 ± 6.1%, P = not significant). CONCLUSION The SIMBA technique enabled a fast, data-driven reconstruction of free-running whole-heart MRA with image quality superior to All Data and similar to the more time-consuming FRF reconstruction.
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Affiliation(s)
- John Heerfordt
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
| | - Kevin K Whitehead
- Division of Cardiology, Department of Pediatrics, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jessica A M Bastiaansen
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Lorenzo Di Sopra
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Christopher W Roy
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jérôme Yerly
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Center for Biomedical Imaging, Lausanne, Switzerland
| | - Bastien Milani
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mark A Fogel
- Division of Cardiology, Department of Pediatrics, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Matthias Stuber
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Center for Biomedical Imaging, Lausanne, Switzerland
| | - Davide Piccini
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
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13
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Yamagishi M, Tamaki N, Akasaka T, Ikeda T, Ueshima K, Uemura S, Otsuji Y, Kihara Y, Kimura K, Kimura T, Kusama Y, Kumita S, Sakuma H, Jinzaki M, Daida H, Takeishi Y, Tada H, Chikamori T, Tsujita K, Teraoka K, Nakajima K, Nakata T, Nakatani S, Nogami A, Node K, Nohara A, Hirayama A, Funabashi N, Miura M, Mochizuki T, Yokoi H, Yoshioka K, Watanabe M, Asanuma T, Ishikawa Y, Ohara T, Kaikita K, Kasai T, Kato E, Kamiyama H, Kawashiri M, Kiso K, Kitagawa K, Kido T, Kinoshita T, Kiriyama T, Kume T, Kurata A, Kurisu S, Kosuge M, Kodani E, Sato A, Shiono Y, Shiomi H, Taki J, Takeuchi M, Tanaka A, Tanaka N, Tanaka R, Nakahashi T, Nakahara T, Nomura A, Hashimoto A, Hayashi K, Higashi M, Hiro T, Fukamachi D, Matsuo H, Matsumoto N, Miyauchi K, Miyagawa M, Yamada Y, Yoshinaga K, Wada H, Watanabe T, Ozaki Y, Kohsaka S, Shimizu W, Yasuda S, Yoshino H. JCS 2018 Guideline on Diagnosis of Chronic Coronary Heart Diseases. Circ J 2021; 85:402-572. [PMID: 33597320 DOI: 10.1253/circj.cj-19-1131] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
| | - Nagara Tamaki
- Department of Radiology, Kyoto Prefectural University of Medicine Graduate School
| | - Takashi Akasaka
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Takanori Ikeda
- Department of Cardiovascular Medicine, Toho University Graduate School
| | - Kenji Ueshima
- Center for Accessing Early Promising Treatment, Kyoto University Hospital
| | - Shiro Uemura
- Department of Cardiology, Kawasaki Medical School
| | - Yutaka Otsuji
- Second Department of Internal Medicine, University of Occupational and Environmental Health, Japan
| | - Yasuki Kihara
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Kazuo Kimura
- Division of Cardiology, Yokohama City University Medical Center
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School
| | | | | | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School
| | | | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University Graduate School
| | | | - Hiroshi Tada
- Department of Cardiovascular Medicine, University of Fukui
| | | | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | | | - Kenichi Nakajima
- Department of Functional Imaging and Artificial Intelligence, Kanazawa Universtiy
| | | | - Satoshi Nakatani
- Division of Functional Diagnostics, Department of Health Sciences, Osaka University Graduate School of Medicine
| | | | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Atsushi Nohara
- Division of Clinical Genetics, Ishikawa Prefectural Central Hospital
| | | | | | - Masaru Miura
- Department of Cardiology, Tokyo Metropolitan Children's Medical Center
| | | | | | | | - Masafumi Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University
| | - Toshihiko Asanuma
- Division of Functional Diagnostics, Department of Health Sciences, Osaka University Graduate School
| | - Yuichi Ishikawa
- Department of Pediatric Cardiology, Fukuoka Children's Hospital
| | - Takahiro Ohara
- Division of Community Medicine, Tohoku Medical and Pharmaceutical University
| | - Koichi Kaikita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | - Tokuo Kasai
- Department of Cardiology, Uonuma Kinen Hospital
| | - Eri Kato
- Department of Cardiovascular Medicine, Department of Clinical Laboratory, Kyoto University Hospital
| | | | - Masaaki Kawashiri
- Department of Cardiovascular and Internal Medicine, Kanazawa University
| | - Keisuke Kiso
- Department of Diagnostic Radiology, Tohoku University Hospital
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School
| | | | | | | | - Akira Kurata
- Department of Radiology, Ehime University Graduate School
| | - Satoshi Kurisu
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Masami Kosuge
- Division of Cardiology, Yokohama City University Medical Center
| | - Eitaro Kodani
- Department of Internal Medicine and Cardiology, Nippon Medical School Tama Nagayama Hospital
| | - Akira Sato
- Department of Cardiology, University of Tsukuba
| | - Yasutsugu Shiono
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Hiroki Shiomi
- Department of Cardiovascular Medicine, Kyoto University Graduate School
| | - Junichi Taki
- Department of Nuclear Medicine, Kanazawa University
| | - Masaaki Takeuchi
- Department of Laboratory and Transfusion Medicine, Hospital of the University of Occupational and Environmental Health, Japan
| | | | - Nobuhiro Tanaka
- Department of Cardiology, Tokyo Medical University Hachioji Medical Center
| | - Ryoichi Tanaka
- Department of Reconstructive Oral and Maxillofacial Surgery, Iwate Medical University
| | | | | | - Akihiro Nomura
- Innovative Clinical Research Center, Kanazawa University Hospital
| | - Akiyoshi Hashimoto
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University
| | - Kenshi Hayashi
- Department of Cardiovascular Medicine, Kanazawa University Hospital
| | - Masahiro Higashi
- Department of Radiology, National Hospital Organization Osaka National Hospital
| | - Takafumi Hiro
- Division of Cardiology, Department of Medicine, Nihon University
| | | | - Hitoshi Matsuo
- Department of Cardiovascular Medicine, Gifu Heart Center
| | - Naoya Matsumoto
- Division of Cardiology, Department of Medicine, Nihon University
| | | | | | | | - Keiichiro Yoshinaga
- Department of Diagnostic and Therapeutic Nuclear Medicine, Molecular Imaging at the National Institute of Radiological Sciences
| | - Hideki Wada
- Department of Cardiology, Juntendo University Shizuoka Hospital
| | - Tetsu Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University
| | - Yukio Ozaki
- Department of Cardiology, Fujita Medical University
| | - Shun Kohsaka
- Department of Cardiology, Keio University School of Medicine
| | - Wataru Shimizu
- Department of Cardiovascular Medicine, Nippon Medical School
| | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine
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14
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Noncontrast Magnetic Resonance Angiography in the Era of Nephrogenic Systemic Fibrosis and Gadolinium Deposition. J Comput Assist Tomogr 2021; 45:37-51. [PMID: 32976265 DOI: 10.1097/rct.0000000000001074] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
ABSTRACT Gadolinium-based contrast agents for clinical magnetic resonance imaging are overall safe. However, the discovery of nephrogenic systemic fibrosis in patients with severe renal impairment and gadolinium deposition in patients receiving contrast have generated developments in contrast-free imaging of the vasculature, that is, noncontrast magnetic resonance angiography. This article presents an update on noncontrast magnetic resonance angiography techniques, with comparison to other imaging alternatives. Potential benefits and challenges to implementation, and evidence to date for various clinical applications are discussed.
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15
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Open 1.0-T versus closed 1.5-T cardiac MR: Image quality assessment. Clin Imaging 2020; 68:102-107. [DOI: 10.1016/j.clinimag.2020.06.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/13/2020] [Accepted: 06/12/2020] [Indexed: 11/18/2022]
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16
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Kato Y, Ambale-Venkatesh B, Kassai Y, Kasuboski L, Schuijf J, Kapoor K, Caruthers S, Lima JAC. Non-contrast coronary magnetic resonance angiography: current frontiers and future horizons. MAGMA (NEW YORK, N.Y.) 2020; 33:591-612. [PMID: 32242282 PMCID: PMC7502041 DOI: 10.1007/s10334-020-00834-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 01/22/2020] [Accepted: 01/29/2020] [Indexed: 02/07/2023]
Abstract
Coronary magnetic resonance angiography (coronary MRA) is advantageous in its ability to assess coronary artery morphology and function without ionizing radiation or contrast media. However, technical limitations including reduced spatial resolution, long acquisition times, and low signal-to-noise ratios prevent it from clinical routine utilization. Nonetheless, each of these limitations can be specifically addressed by a combination of novel technologies including super-resolution imaging, compressed sensing, and deep-learning reconstruction. In this paper, we first review the current clinical use and motivations for non-contrast coronary MRA, discuss currently available coronary MRA techniques, and highlight current technical developments that hold unique potential to optimize coronary MRA image acquisition and post-processing. In the final section, we examine the various research-based coronary MRA methods and metrics that can be leveraged to assess coronary stenosis severity, physiological function, and atherosclerotic plaque characterization. We specifically discuss how such technologies may contribute to the clinical translation of coronary MRA into a robust modality for routine clinical use.
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Affiliation(s)
- Yoko Kato
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD, 21287-0409, USA
| | | | | | | | | | - Karan Kapoor
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD, 21287-0409, USA
| | | | - Joao A C Lima
- Division of Cardiology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Blalock 524, Baltimore, MD, 21287-0409, USA.
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17
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Lin L, Wang L, Zhang XN, Li X, Wang J, Shen ZJ, Chen W, Jin ZY, Wang YN. A clinical strategy to improve the diagnostic accuracy of 1.5-T non-contrast MR coronary angiography for detection of coronary artery disease: combination of whole-heart and volume-targeted imaging. Eur Radiol 2020; 31:1894-1904. [PMID: 32975662 DOI: 10.1007/s00330-020-07135-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 05/30/2020] [Accepted: 07/31/2020] [Indexed: 01/08/2023]
Abstract
OBJECTIVES To evaluate the diagnostic performance of 1.5-T non-contrast MR coronary angiography (MRCA) for detection of coronary artery disease (CAD) using whole-heart imaging combined with volume-targeted imaging. METHODS Forty-five patients scheduled for conventional coronary angiography (CAG) underwent 1.5-T free-breathing non-contrast steady-state free-precession MRCA, including whole-heart and subsequent three-vessel volume-targeted imaging. Coronary stenosis was evaluated as follows: (1) by whole-heart MRCA alone; (2) by combined MRCA (whole-heart plus volume-targeted images). The diagnostic performance for significant stenosis (≥ 50% diameter reduction) was evaluated and compared using CAG as a reference standard. RESULTS Combined MRCA was completed in all 45 patients with a total acquisition time of 16.6 ± 3.3 min. The sensitivity, specificity, and accuracy of combined MRCA per patient were 97% (95% confidence interval 84-100%), 83% (52-98%), and 93% (82-98%), respectively. The areas under the receiver operating characteristic curve of combined MRCA were significantly higher than those of whole-heart MRCA on a per patient (0.97 versus 0.85, p = 0.0078) and per vessel (0.96 versus 0.86, p < 0.0001) basis. Compared with whole-heart MRCA, combined MRCA showed equally high sensitivity but significantly improved specificity on a per patient (83% versus 25%, p = 0.016) and per vessel (85% versus 50%, p < 0.0001) basis. CONCLUSIONS 1.5-T non-contrast MRCA combining whole-heart and volume-targeted imaging can detect significant CAD with high sensitivity and moderate specificity. Combined MRCA significantly improves specificity compared with whole-heart imaging alone. KEY POINTS • 1.5-T non-contrast MRCA with combined whole-heart and volume-targeted imaging can detect CAD with high sensitivity and moderate specificity comparable with coronary CTA. • Compared with whole-heart imaging alone, combined imaging provides improved diagnostic accuracy, especially specificity.
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Affiliation(s)
- Lu Lin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Liang Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Xiao-Na Zhang
- Department of Health Care & Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Xiao Li
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Jian Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Zhu-Jun Shen
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Wei Chen
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Zheng-Yu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
| | - Yi-Ning Wang
- Department of Health Care & Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
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18
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Ciancarella P, Ciliberti P, Santangelo TP, Secchi F, Stagnaro N, Secinaro A. Noninvasive imaging of congenital cardiovascular defects. Radiol Med 2020; 125:1167-1185. [PMID: 32955650 DOI: 10.1007/s11547-020-01284-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 09/03/2020] [Indexed: 12/19/2022]
Abstract
Advances in the treatment have drastically increased the survival rate of congenital heart disease (CHD) patients. Therefore, the prevalence of these patients is growing. Imaging plays a crucial role in the diagnosis and management of this population as a key component of patient care at all stages, especially in those patients who survived into adulthood. Over the last decades, noninvasive imaging techniques, such as cardiac magnetic resonance (CMR) and cardiac computed tomography (CCT), progressively increased their clinical relevance, reaching stronger levels of accuracy and indications in the clinical surveillance of CHD. The current review highlights the main technical aspects and clinical applications of CMR and CCT in the setting of congenital cardiovascular abnormalities, aiming to address a state-of-the-art guidance to every physician and cardiac imager not routinely involved in the field.
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Affiliation(s)
- Paolo Ciancarella
- Department of Imaging, Advanced Cardiovascular Imaging Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy
| | - Paolo Ciliberti
- Pediatric Cardiology and Pediatric Cardiac Surgery Department, Bambino Gesù Children's Hospital IRCSS, Rome, Italy
| | - Teresa Pia Santangelo
- Department of Imaging, Advanced Cardiovascular Imaging Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy
| | - Francesco Secchi
- Radiology Unit, IRCCS Policlinico San Donato, San Donato Milanese, Italy.,Department of Biomedical Sciences for Health, Università degli Studi di Milano, San Donato Milanese, Italy
| | - Nicola Stagnaro
- Radiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Aurelio Secinaro
- Department of Imaging, Advanced Cardiovascular Imaging Unit, Bambino Gesù Children's Hospital, IRCCS, Piazza S. Onofrio 4, 00165, Rome, Italy.
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19
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Adamson PD, Newby DE. Non-invasive imaging of the coronary arteries. Eur Heart J 2020; 40:2444-2454. [PMID: 30388261 PMCID: PMC6669405 DOI: 10.1093/eurheartj/ehy670] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 09/14/2018] [Accepted: 10/29/2018] [Indexed: 12/13/2022] Open
Abstract
Non-invasive imaging of the coronary arteries is an enterprise in rapid development. From the research perspective, there is great demand for in vivo techniques that can reliably identify features of high-risk plaque that may offer insight into pathophysiological processes and act as surrogate indicators of response to therapeutic intervention. Meanwhile, there is clear clinical need for greater accuracy in diagnosis and prognostic stratification. Fortunately, ongoing technological improvements and emerging data from randomized clinical trials are helping make these elusive goals a reality. This review provides an update on the current status of non-invasive coronary imaging with computed tomography, magnetic resonance, and positron emission tomography with a focus on current clinical applications and future research directions.
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Affiliation(s)
- Philip D Adamson
- BHF Centre for Cardiovascular Science, University of Edinburgh, Room SU 305, Chancellor's Building, 49 Little France Cres, Edinburgh, UK.,Christchurch Heart Institute, Department of Medicine, University of Otago, 2 Riccarton Ave, Christchurch, New Zealand
| | - David E Newby
- BHF Centre for Cardiovascular Science, University of Edinburgh, Room SU 305, Chancellor's Building, 49 Little France Cres, Edinburgh, UK
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20
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Schwaiger M, Nekolla SG. What did we learn from PET/MR? J Nucl Cardiol 2020; 27:899-902. [PMID: 31385222 DOI: 10.1007/s12350-019-01815-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 05/23/2019] [Indexed: 11/26/2022]
Affiliation(s)
| | - Stephan G Nekolla
- Department of Nuclear Medicine, Technical University of Munich, Munich, Germany
- DZHK (Deutsches, Zentrum für Herz-Kreislauf-Forschung e.V.), partner site Munich Heart Alliance, Munich, Germany
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21
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Serinsoz S, Akturk R, Bayramoglu S. Comparison of cardiac magnetic resonance and cardiac ultrasound imaging findings in congenital and acquired heart diseases. SANAMED 2020. [DOI: 10.24125/sanamed.v15i2.418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Objective: Nowadays, non-invasive methods are emerging in the evaluation of cardiovascular diseases. The aim of this study was to determine the diagnostic performance of cardiac magnetic resonance (CMR) imaging and cardiac ultrasound imaging (Echo) in cardiac patients diagnosed with Echo previously. Methods: In a total of 32 various cardiac patients with Echo findings including congenital and acquired heart pathologies who applied to our clinic were included in the study. The distribution of cardiac pathologies including valve dysfunctions, right and left ventricular wall lesions and movement disorders, atrioventricular hypertrophy, septal defect, pericardial effusion-mass, additional congenital or acquired vascular pathologies and additional thoracic pathology, age and gender correlations were determined. The CMR and Echo findings were compared statistically. Results: It was found that 12 (37.5%) of the individuals were female, 20 (62.5%) were male, aged between 6 and 80 years with an average age of 29.9 years. The cardiac parameters were positive in 27 (84.4%) patients according to Echo and were positive in 22 (68.8%) patients according to CMR. There was no statistically significant correlation between CMR and Echo for cardiac pathology detection rates (p > 0.05). However, only 18 out of 22 patients who were positive on CMR were positive on Echo. CMR was superior in detecting congenital cardiac pathologies. Conclusion: Echo has a diagnostic advantage and in general, CMR and Echo findings overlap in cases with valve dysfunctions, ventricular wall motion disorders, and hypertrophy, whereas we found that Echo findings were insufficient for diagnosis of congenital heart pathologies.
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22
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Yu S, Cui C, Lu M, Zhao S. Diagnostic Accuracy of Three-Dimensional Whole-Heart Magnetic Resonance Angiography to Detect Coronary Artery Disease with Invasive Coronary Angiography as a Reference: A Meta-Analysis. CARDIOVASCULAR INNOVATIONS AND APPLICATIONS 2020. [DOI: 10.15212/cvia.2019.0561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Objective: We aimed to evaluate the diagnostic performance of three-dimensional whole-heart magnetic resonance coronary angiography (MRCA) in detecting coronary artery disease (CAD) with invasive coronary angiography as the reference standard.Methods: We searched PubMed
and Embase for studies evaluating the diagnostic performance of three-dimensional whole-heart MRCA for the diagnosis of CAD with invasive coronary angiography as the reference standard. The bivariate mixed-effects regression model was applied to synthesize available data. The clinical utility
of whole-heart MRCA was calculated by the posttest probability based on Bayes’s theorem.Results: Eighteen studies were included, of which 16 provided data at the artery level. Patient-based analysis revealed a pooled sensitivity of 0.90 (95% confidence interval [CI] 0.87‐0.93)
and specificity of 0.79 (95% CI 0.73‐0.84), while the pooled estimates were 0.86 (95% CI 0.82‐0.89) and 0.89 (95% CI 0.84‐0.92), respectively, at the artery level. The areas under the summary receiver operating characteristic curve were 0.93 (95% CI 0.90‐0.95) and
0.92 (95% CI 0.90‐0.94) at the patient and artery levels, respectively. With a pretest probability of 50%, the patients’ posttest probabilities of CAD were 81% for positive results and 11% for negative results.Conclusions: Whole-heart MRCA can be an alternative noninvasive
method for diagnosis and assessment of CAD.
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Affiliation(s)
- Shiqin Yu
- Department of Cardiac MR, Fuwai Hospital, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, 100037 Beijing, People’s Republic of China
| | - Chen Cui
- Department of Cardiac MR, Fuwai Hospital, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, 100037 Beijing, People’s Republic of China
| | - Minjie Lu
- Department of Cardiac MR, Fuwai Hospital, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, 100037 Beijing, People’s Republic of China
| | - Shihua Zhao
- Department of Cardiac MR, Fuwai Hospital, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, 100037 Beijing, People’s Republic of China
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23
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Three-Dimensional Free-Breathing Whole-Heart Coronary Magnetic Resonance Angiography at 1.5 T: Gadobutrol-Enhanced Gradient-Echo Acquisition Sequence Versus Non-Contrast-Enhanced Steady-State Free Precession Sequence. J Comput Assist Tomogr 2019; 43:919-925. [PMID: 31738205 DOI: 10.1097/rct.0000000000000933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES The objective of this study was to compare gadobutrol-enhanced gradient-echo sequence (GRE) acquisition with T2-prepared non-contrast-enhanced steady-state free precession (SSFP) in coronary magnetic resonance angiography at 1.5 T. METHODS Twenty-one subjects successfully completed GRE and SSFP acquisition. Signal-to-noise ratio (SNR), contrast-to-noise ratio, image quality, sharpness, visibility, length, and lumen diameter of vessels were analyzed by 2 experienced radiologists. RESULTS The SNR at whole left circumflex artery, left main artery, and proximal left descending artery (LAD) was significantly higher in SSFP acquisition (P < 0.05). The SNR of distal LAD was slightly higher in GRE acquisition (P < 0.05). The contrast-to-noise ratio at distal LAD, proximal and distal RCA were significantly higher with GRE acquisition (P < 0.05). CONCLUSIONS Double-dose gadobutrol-enhanced GRE and unenhanced SSFP coronary magnetic resonance angiography at 1.5 T have their own characteristics, and the combined use of the 2 methods may be taken into consideration.
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24
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Edelman RR, Aherne E, Leloudas N, Pang J, Koktzoglou I. Near-isotropic noncontrast MRA of the renal and peripheral arteries using a thin-slab stack-of-stars quiescent interval slice-selective acquisition. Magn Reson Med 2019; 83:1711-1720. [PMID: 31631387 DOI: 10.1002/mrm.28032] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/12/2019] [Accepted: 09/18/2019] [Indexed: 12/13/2022]
Abstract
PURPOSE Noncontrast MRA avoids potential risks from gadolinium-based contrast agents. A 2D noncontrast technique, quiescent interval slice-selective (QISS), accurately evaluates the peripheral arteries but has limited spatial resolution along the slice direction. We therefore implemented a prototype thin-slab stack-of-stars version (tsSOS-QISS) with nearly isotropic spatial resolution and tested it in the renal and peripheral arteries of healthy subjects and patients with vascular disease. METHODS The study was approved by the hospital institutional review board. A total of 16 subjects were scanned at 1.5 T: 7 for imaging of the renal arteries and 9 for imaging of the peripheral arteries. For tsSOS-QISS of the renal arteries, each slab consisted of about sixteen 1.3-mm-thick or 2.0-mm-thick slices (interpolated to thirty-two 0.65-mm-thick or 1.0-mm-thick 3D partitions) oriented in an oblique axial or oblique coronal view along the length of the target vessel and was acquired in a breath-hold. For tsSOS-QISS of the peripheral arteries, 20 axial overlapping thin slabs were typically acquired, each with twelve 1.3-mm-thick slices (interpolated to twenty-four 0.65-mm-thick 3D partitions). Image quality, vessel sharpness in multiplanar reconstructions, and normalized SNR were measured. RESULTS Image quality and normalized SNR in the renal and peripheral arteries were significantly better compared with 2D QISS acquired at the same spatial resolution, while vessel sharpness was improved in multiplanar reconstructions of the renal arteries. CONCLUSION The tsSOS-QISS technique overcomes a significant limitation of 2D QISS by providing nearly isotropic spatial resolution with improved image quality, normalized SNR, and vessel sharpness in multiplanar reconstructions.
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Affiliation(s)
- Robert R Edelman
- Department of Radiology, Northshore University HealthSystem, Evanston, Illinois.,Department of Radiology, Northwestern Memorial Hospital, Chicago, Illinois
| | - Emily Aherne
- Department of Radiology, Northshore University HealthSystem, Evanston, Illinois.,Department of Radiology, Northwestern Memorial Hospital, Chicago, Illinois
| | - Nondas Leloudas
- Department of Radiology, Northshore University HealthSystem, Evanston, Illinois
| | - Jianing Pang
- Siemens Medical Solutions USA, Chicago, Illinois
| | - Ioannis Koktzoglou
- Department of Radiology, Northshore University HealthSystem, Evanston, Illinois.,Department of Radiology, University of Chicago Pritzker School of Medicine, Chicago, Illinois
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25
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Edelman RR, Koktzoglou I. Noncontrast MR angiography: An update. J Magn Reson Imaging 2019; 49:355-373. [PMID: 30566270 PMCID: PMC6330154 DOI: 10.1002/jmri.26288] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/24/2018] [Accepted: 07/26/2018] [Indexed: 12/12/2022] Open
Abstract
Both computed tomography (CT) angiography (CTA) and contrast-enhanced MR angiography (CEMRA) have proven to be useful and accurate cross-sectional imaging modalities over a wide range of vascular territories and vascular disorders. A key advantage of MRA is that, unlike CTA, it can be performed without the administration of a contrast agent. In this review article we consider the motivations for using noncontrast MRA, potential contrast mechanisms, imaging techniques, advantages, and drawbacks with respect to CTA and CEMRA, and the level of evidence for using the various MRA techniques. In addition, we explore new developments that promise to expand the reliability and range of clinical applications for noncontrast MRA, along with functional MRA capabilities not available with CTA or CEMRA. Level of Evidence: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;49:355-373.
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Affiliation(s)
- Robert R. Edelman
- Radiology, Northshore University HealthSystem, Evanston, IL
- Radiology, Northwestern Memorial Hospital, Chicago, IL
| | - Ioannis Koktzoglou
- Radiology, Northshore University HealthSystem, Evanston, IL
- Radiology, University of Chicago Pritzker School of Medicine, Chicago, IL
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26
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Lee SE, Nguyen C, Xie Y, Deng Z, Zhou Z, Li D, Chang HJ. Recent Advances in Cardiac Magnetic Resonance Imaging. Korean Circ J 2018; 49:146-159. [PMID: 30468040 PMCID: PMC6351278 DOI: 10.4070/kcj.2018.0246] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 09/25/2018] [Accepted: 10/23/2018] [Indexed: 01/10/2023] Open
Abstract
Cardiac magnetic resonance (CMR) imaging provides accurate anatomic information and advanced soft contrast, making it the reference standard for assessing cardiac volumes and systolic function. In this review, we summarize the recent advances in CMR sequences. New technical development has widened the use of CMR imaging beyond the simple characterization of myocardial scars and assessment of contractility. These novel CMR sequences offer comprehensive assessments of coronary plaque characterization, myocardial fiber orientation, and even metabolic activity, and they can be readily applied in clinical settings. CMR imaging is able to provide new insights into understanding the pathophysiologic process of underlying cardiac disease, and it can help physicians choose the best treatment strategies. Although several limitations, including the high cost and time-consuming process, have limited the widespread clinical use of CMR imaging so far, recent advances in software and hardware technologies have made the future more promising.
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Affiliation(s)
- Sang Eun Lee
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.,Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, Korea.,Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Christopher Nguyen
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Zixin Deng
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Zhengwei Zhou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Hyuk Jae Chang
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.,Integrative Cardiovascular Imaging Center, Yonsei University Health System, Seoul, Korea.
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27
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Sokolowski FC, Karius P, Rodríguez A, Lembcke A, Wagner M, Hamm B, Dewey M. Extracardiac findings at cardiac MR imaging: a single-centre retrospective study over 14 years. Eur Radiol 2018; 28:4102-4110. [PMID: 29713779 DOI: 10.1007/s00330-018-5432-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/05/2018] [Accepted: 03/16/2018] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To determine the prevalence and significance of extracardiac findings (ECF) in a large set of cardiac magnetic resonance (MR) imaging examinations. METHODS The institutional review board (IRB) of the Charité approved this retrospective, single-centre study. A total of 4376 cardiac MR imaging reports of 3553 patients (age 37.4 ± 20 years, 60.8 % male) examined from 2000 to 2014 were included. Findings with a recommendation for follow-up were considered "major ECF". To analyse the association of indication, age and gender with ECF, Poisson regression and computed incidence rate ratios (IRR) were evaluated. RESULTS The overall prevalence of ECF was 34% (95% confidence interval [CI] 32.5-35.6%). Major ECF were present in 3.4% (95% CI 2.9-4.1%) while findings that changed patient management were found in 0.9% (95% CI 0.7-1.3%). In the cases of congenital heart disease, ECF prevalence was higher compared to myocarditis (IRR, 6.0; 95% CI 5.1-7.1%; p < 0.001), while the prevalence of major ECF was lower (IRR, 0.2; 95% CI 0.02-0.51%; p < 0.05). Older patient age was associated with more nonvascular ECF (p < 0.001). Female patients had the same probability of having an ECF as male patients (IRR, 1.04; 95% CI 0.95-1.1%; p = 0.43). CONCLUSION ECF in cardiac MR imaging are present in about every third patient while relevant ECF that change patient management can be found in about one out of 100 patients. Our data suggest that it is important to involve well-trained radiologists in reading cardiac MR images, which often reveal ECF if congenital heart disease is the clinical indication. KEY POINTS • Extracardiac findings are present in about every third patient. • Relevant ECF changing patient management are found in one out of 100 findings. • Chance of ECF is high in patients with CHD and vascular indications.
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Affiliation(s)
- Felix C Sokolowski
- Department of Radiology, Charite Medical School, Humboldt-Universität zu Berlin, Freie Universitat Berlin, Chariteplatz 1, 10117, Berlin, Germany
| | - Philipp Karius
- Department of Radiology, Charite Medical School, Humboldt-Universität zu Berlin, Freie Universitat Berlin, Chariteplatz 1, 10117, Berlin, Germany
| | - Alejandra Rodríguez
- Department of Radiology, Charite Medical School, Humboldt-Universität zu Berlin, Freie Universitat Berlin, Chariteplatz 1, 10117, Berlin, Germany
| | - Alexander Lembcke
- Department of Radiology, Charite Medical School, Humboldt-Universität zu Berlin, Freie Universitat Berlin, Chariteplatz 1, 10117, Berlin, Germany
| | - Moritz Wagner
- Department of Radiology, Charite Medical School, Humboldt-Universität zu Berlin, Freie Universitat Berlin, Chariteplatz 1, 10117, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology, Charite Medical School, Humboldt-Universität zu Berlin, Freie Universitat Berlin, Chariteplatz 1, 10117, Berlin, Germany
| | - Marc Dewey
- Department of Radiology, Charite Medical School, Humboldt-Universität zu Berlin, Freie Universitat Berlin, Chariteplatz 1, 10117, Berlin, Germany.
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28
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Makrilakis K, Liatis S. Cardiovascular Screening for the Asymptomatic Patient with Diabetes: More Cons Than Pros. J Diabetes Res 2017; 2017:8927473. [PMID: 29387731 PMCID: PMC5745704 DOI: 10.1155/2017/8927473] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 10/17/2017] [Accepted: 11/05/2017] [Indexed: 12/29/2022] Open
Abstract
Diabetes mellitus is associated with an increased risk of coronary heart disease (CHD) morbidity and mortality. Although it frequently coexists with other cardiovascular disease (CVD) risk factors, it confers an increased risk for CVD events on its own. Coronary atherosclerosis is generally more aggressive and widespread in people with diabetes (PWD) and is frequently asymptomatic. Screening for silent myocardial ischaemia can be applied in a wide variety of ways. In nearly all asymptomatic PWD, however, the results of screening will generally not change medical therapy, since aggressive preventive measures, such as control of blood pressure and lipids, would have been already indicated, and above all, invasive revascularization procedures (either with percutaneous coronary intervention or coronary artery bypass grafting) have not been shown in randomized clinical trials to confer any benefit on morbidity and mortality. Still, unresolved issues remain regarding the extent of the underlying ischaemia that might affect the risk and the benefit of revascularization (on top of optimal medical therapy) in ameliorating this risk in patients with moderate to severe ischaemia. The issues related to the detection of coronary atherosclerosis and ischaemia, as well as the studies related to management of CHD in asymptomatic PWD, will be reviewed here.
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Affiliation(s)
- Konstantinos Makrilakis
- First Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens Medical School, Laiko General Hospital, Athens, Greece
| | - Stavros Liatis
- First Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens Medical School, Laiko General Hospital, Athens, Greece
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29
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Heer T, Reiter S, Trißler M, Höfling B, von Knobelsdorff-Brenkenhoff F, Pilz G. Effect of Nitroglycerin on the Performance of MR Coronary Angiography. J Magn Reson Imaging 2016; 45:1419-1428. [PMID: 27731913 DOI: 10.1002/jmri.25483] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 09/02/2016] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To systematically investigate the effect of sublingual glyceryl trinitrate (nitroglycerin=nitro=glyceryl trinitrate=GTN=C3 H5 N3 O9 [NTG]) on the diagnostic performance of MR coronary artery imaging (MRCA) to detect relevant coronary artery disease (CAD). MATERIALS AND METHODS Thirty-five healthy volunteers and 25 patients with suspected or proven CAD (all in sinus rhythm) underwent MRCA before and after NTG using a contrast-agent free, three-dimensional, navigator-based, steady state free precession acquisition (voxel size 1.0 × 0.7 × 0.7 mm3 ) at 1.5 Tesla. Target parameters were stenosis detection (>50%), visible vessel length (straightened planar reconstruction) and vessel diameter (curved planar reconstruction, measured proximal/medial/distal). In patients, invasive coronary angiography served as reference. RESULTS NTG led to increase of the coronary diameter both in healthy volunteers (right coronary artery [RCA]: 3.2 to 3.7 mm, P < 0.001; left anterior descending coronary artery [LAD]: 2.9 to 3.4 mm, P = 0.009; left circumflex coronary artery [LCx]: 2.8 to 3.3 mm, P < 0.001) and patients (RCA 3.5 to 4.0 mm, P = 0.01; LAD 3.3 to 3.7 mm, P = 0.008; LCx: 2.9 to 3.3 mm, P = 0.03). Visible vessel length increased after NTG for the LAD (volunteers: 72 to 84 mm, P = 0.03; patients: 56 to 78 mm, P = 0.01) and for LCx (volunteers: 48 to 60 mm, P = 0.02). Sensitivity to detect > 50% stenosis improved after NTG from 88.0 to 96%, specificity from 46.5 to 69.8%, diagnostic accuracy from 61.8 to 79.4% and positive/negative predictive value from 48.9 to 64.9% and 87.0 to 96.8%, respectively. CONCLUSION Sublingual administration of NTG significantly enhanced the visibility of the coronary arteries and improved the detection of coronary artery stenosis. LEVEL OF EVIDENCE 2 J. MAGN. RESON. IMAGING 2017;45:1419-1428.
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Affiliation(s)
- Tobias Heer
- Clinic Agatharied, Department of Cardiology, Academic Teaching Hospital, University of Munich, Hausham, Germany.,Clinic Munich Schwabing, Department of Cardiology, Academic Teaching Hospital, University of Munich, Munich, Germany
| | - Stephanie Reiter
- Clinic Agatharied, Department of Cardiology, Academic Teaching Hospital, University of Munich, Hausham, Germany
| | - Markus Trißler
- Clinic Agatharied, Department of Cardiology, Academic Teaching Hospital, University of Munich, Hausham, Germany
| | - Berthold Höfling
- Clinic Agatharied, Department of Cardiology, Academic Teaching Hospital, University of Munich, Hausham, Germany
| | | | - Günter Pilz
- Clinic Agatharied, Department of Cardiology, Academic Teaching Hospital, University of Munich, Hausham, Germany
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