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Xie Y, Dey D, Li D. Advanced Coronary Artery Vessel Wall Imaging and Future Directions. VESSEL BASED IMAGING TECHNIQUES 2020:245-266. [DOI: 10.1007/978-3-030-25249-6_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Zhou T, Jia S, Wang X, Wang B, Wang Z, Wu T, Li Y, Chen Y, Yang C, Li Q, Yang Z, Li M, Sun G. Diagnostic performance of MRI for detecting intraplaque hemorrhage in the carotid arteries: a meta-analysis. Eur Radiol 2019; 29:5129-5138. [PMID: 30847588 DOI: 10.1007/s00330-019-06053-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/11/2019] [Accepted: 01/30/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To investigate the diagnostic performance of MRI in diagnosing carotid atherosclerotic intraplaque hemorrhage (IPH) and to provide a clinical guide for MRI application. METHODS We searched MEDLINE, Embase, and Cochrane library from the earliest available date of indexing through November 30, 2017. All investigators screened and selected studies comparing the use of MRI with histology. The accuracy to diagnose pathological IPH was expressed by sensitivity, specificity, negative likelihood ratios (LRs), positive LRs, and the area under summary receiver-operating characteristic (SROC) curve. We calculated the post-test probability to assess the clinical utility of MRI. RESULTS We analyzed 696 patients from 20 articles. The sensitivity and specificity were 87% (95% CI, 81-91%) and 92% (95% CI, 87-95%), respectively. The positive and negative LRs were 10.27 (95% CI, 6.76-15.59) and 0.15 (95% CI, 0.10-0.21), respectively. The area under SROC curve was 0.95 (95% CI, 0.93-0.97). MRI was accurate in confirming or in ruling out disease over a wide range of pre-test probabilities of IPH: MRI could increase the post-test probability to > 80% in patients with a pre-test probability > 27% and could decrease the post-test probability to < 20% in patients with a pre-test probability < 64%. CONCLUSION Non-invasive MRI has excellent specificity and good sensitivity for diagnosing IPH. MRI is a tool for confirming or ruling out carotid atherosclerotic IPH. KEY POINTS • Non-invasive MRI has excellent performance for diagnosing IPH, which is a component of vulnerable plaque. • The high accuracy of MRI for IPH helps clinicians analyze the prognosis of clinical events and plan personalized treatment.
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Affiliation(s)
- Tao Zhou
- Department of Radiology, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Shouqiang Jia
- Department of Radiology, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Xiu Wang
- Department of ICU, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Bin Wang
- Department of Health Care, Shandong University Affiliated Jinan Center Hospital, Jinan, China
| | - Zhiguo Wang
- Department of Medical Imaging, 960 Hospital of PLA, No. 25, Shifan Road, Jinan, 250031, Shandong Province, China
| | - Ting Wu
- Department of Radiology, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Ying Li
- Department of Radiology, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Ying Chen
- Department of Radiology, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Chenxiao Yang
- Department of Radiology, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Qingguo Li
- Department of Radiology, Laiwu Affiliated Hospital of Taishan Medical University, Laiwu, China
| | - Zhen Yang
- Department of Medical Imaging, 960 Hospital of PLA, No. 25, Shifan Road, Jinan, 250031, Shandong Province, China
| | - Min Li
- Department of Medical Imaging, 960 Hospital of PLA, No. 25, Shifan Road, Jinan, 250031, Shandong Province, China.
| | - Gang Sun
- Department of Medical Imaging, 960 Hospital of PLA, No. 25, Shifan Road, Jinan, 250031, Shandong Province, China.
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Abstract
PURPOSE OF REVIEW This short review summarizes the recent development in clinical and experimental imaging techniques for coronary atherosclerosis. RECENT FINDINGS Coronary atherosclerosis is the underlying disease of myocardial infarction, the leading cause of death in the industrialized world. Conventional ways of risk assessment, including evaluation of traditional risk factors and interrogation of luminal stenosis, have proven imprecise for the prediction of major events. Rapid advances in noninvasive imaging techniques including MRI, CT, and PET, as well as catheter-based methods, have opened the doors to more in-depth interrogation of plaque burden, composition, and many crucial pathological processes such as inflammation and hemorrhage. These emerging imaging modalities and methodologies, combined with conventional imaging evidences of anatomy and ischemia, offer the promises to provide comprehensive information of the disease status. There is tremendous clinical potential for imaging to improve the current management of coronary atherosclerosis, including the identification of high-risk patients for aggressive therapies and guiding personalized treatment. In this review, we provide an overview of the state-of-the-art coronary plaque imaging techniques focusing on their respective strengths and weaknesses, as well as their clinical outlook.
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Affiliation(s)
- Yibin Xie
- Biomedical Imaging Research Institute, Cedars Sinai Medical Center, 8700 Beverly Blvd., PACT Suite 400, Los Angeles, CA, 90048, USA
| | - Hang Jin
- Biomedical Imaging Research Institute, Cedars Sinai Medical Center, 8700 Beverly Blvd., PACT Suite 400, Los Angeles, CA, 90048, USA
- Department of Radiology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, China
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars Sinai Medical Center, 8700 Beverly Blvd., PACT Suite 400, Los Angeles, CA, 90048, USA.
- Department of Bioengineering, University of California, Los Angeles, CA, USA.
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Non-contrast coronary artery wall and plaque imaging using inversion-recovery prepared steady-state free precession. BMC Med Imaging 2015. [PMID: 26208717 PMCID: PMC4515009 DOI: 10.1186/s12880-015-0071-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Background The objective of this study was to investigate whether three-dimensional (3D) single inversion-recovery prepared steady-state free precession (IR-SSFP) could characterize the coronary artery wall. Methods IR-SSFP was scanned on a 1.5-T MR scanner with a five element cardiac coil. One hundred and twenty-one subjects with known or suspected coronary artery disease who had undergone X-ray coronary angiography (XCA) underwent coronary artery wall imaging using IR-SSFP sequences. In each coronary segment, the detection of the coronary wall was categorized, and contrast (signal of plaque minus signal of blood in the aorta divided by the signal of plaque plus signal of blood in the aorta) was calculated. Results 422 of 517 segments (82 %) were successfully visualized, and the detection scores tended to be higher at the proximal coronary artery when compared with other segments of the coronary artery. High contrast (contrast ≥ 0.75) areas were observed in 62 of 218 segments with ≥50 % coronary artery stenosis by XCA but also in 25 of 299 segments without ≥50 % coronary stenosis. Conclusions IR-SSFP provided good visualization of the coronary wall. This approach represents a promising noninvasive strategy for the assessment of the coronary artery wall.
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Károlyi M, Seifarth H, Liew G, Schlett CL, Maurovich-Horvat P, Stolzmann P, Dai G, Huang S, Goergen CJ, Nakano M, Otsuka F, Virmani R, Hoffmann U, Sosnovik DE. Classification of coronary atherosclerotic plaques ex vivo with T1, T2, and ultrashort echo time CMR. JACC Cardiovasc Imaging 2013; 6:466-74. [PMID: 23498670 PMCID: PMC3661771 DOI: 10.1016/j.jcmg.2012.09.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2012] [Revised: 09/04/2012] [Accepted: 09/06/2012] [Indexed: 11/23/2022]
Abstract
OBJECTIVES This study sought to determine whether the classification of human coronary atherosclerotic plaques with T1, T2, and ultrashort echo time (UTE) cardiac magnetic resonance (CMR) would correlate well with atherosclerotic plaque classification by histology. BACKGROUND CMR has been extensively used to classify carotid plaque, but its ability to characterize coronary plaque remains unknown. In addition, the detection of plaque calcification by CMR remains challenging. Here, we used T1, T2, and UTE CMR to evaluate atherosclerotic plaques in fixed post-mortem human coronary arteries. We hypothesized that the combination of T1, T2, and UTE CMR would allow both calcified and lipid-rich coronary plaques to be accurately detected. METHODS Twenty-eight plaques from human donor hearts with proven coronary artery disease were imaged at 9.4-T with a T1-weighted 3-dimensional fast low-angle shot (FLASH) sequence (250-μm resolution), a T2-weighted rapid acquisition with refocused echoes (RARE) sequence (in-plane resolution 0.156 mm), and an UTE sequence (300-μm resolution). Plaques showing selective hypointensity on T2-weighted CMR were classified as lipid-rich. Areas of hypointensity on the T1-weighted images, but not the UTE images, were classified as calcified. Hyperintensity on the T1-weighted and UTE images was classified as hemorrhage. Following CMR, histological characterization of the plaques was performed with a pentachrome stain and established American Heart Association criteria. RESULTS CMR showed high sensitivity and specificity for the detection of calcification (100% and 90%, respectively) and lipid-rich necrotic cores (90% and 75%, respectively). Only 2 lipid-rich foci were missed by CMR, both of which were extremely small. Overall, CMR-based classification of plaque was in complete agreement with the histological classification in 22 of 28 cases (weighted κ = 0.6945, p < 0.0001). CONCLUSIONS The utilization of UTE CMR allows plaque calcification in the coronary arteries to be robustly detected. High-resolution CMR with T1, T2, and UTE contrast enables accurate classification of human coronary atherosclerotic plaque.
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Affiliation(s)
- Mihály Károlyi
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Harald Seifarth
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Gary Liew
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Christopher L. Schlett
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Pál Maurovich-Horvat
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Paul Stolzmann
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Guangping Dai
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Shuning Huang
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Craig J. Goergen
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | | | | | | | - Udo Hoffmann
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - David E. Sosnovik
- Cardiac MR/PET/CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA
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Classification of Human Coronary Atherosclerotic Plaques Using Ex Vivo High-Resolution Multicontrast-Weighted MRI Compared With Histopathology. AJR Am J Roentgenol 2012; 198:1069-75. [PMID: 22528895 DOI: 10.2214/ajr.11.6496] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Kawasaki T, Koga N, Node K. Prediction of acute coronary syndrome by using multislice computed tomography. -Can we predict the onset of acute coronary syndrome? (Pro)-. Circ J 2011; 75:2013-8; discussion 2026. [PMID: 21737948 DOI: 10.1253/circj.cj-11-0570] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Predicting the occurrence of acute coronary syndrome (ACS) is a major clinical challenge for cardiologists. Multi-slice computed tomography (CT) has enabled easy detection and assessment of atherosclerotic coronary plaque, and therefore has considerable potential in the prevention of ACS. The recent development of 64-slice cardiac CT enables detailed information on both plaque properties and characteristics to be obtained with excellent diagnostic accuracy. Cardiac CT therefore has great potential for detecting the unstable plaques that are prone to result in ACS.
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