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Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound

Authors
 Hyung-Bok Park ; Byoung Kwon Lee ; Namsik Chung ; Yangsoo Jang ; Myeong-Ki Hong ; Hyuk-Jae Chang ; James K. Min ; Sung Gyun Ahn ; Jouke Dijkstra ; Alexander Broersen ; Pieter H. Kitslaar ; Reza Arsanjani ; Ran Heo ; Sanghoon Shin 
Citation
 European Radiology, Vol.25(10) : 3073~3083, 2015 
Journal Title
 European Radiology 
ISSN
 0938-7994 
Issue Date
2015
Abstract
OBJECTIVE: To evaluate the diagnostic performance of automated coronary atherosclerotic plaque quantification (QCT) by different users (expert/non-expert/automatic). METHODS: One hundred fifty coronary artery segments from 142 patients who underwent coronary computed tomography angiography (CCTA) and intravascular ultrasound (IVUS) were analyzed. Minimal lumen area (MLA), maximal lumen area stenosis percentage (%AS), mean plaque burden percentage (%PB), and plaque volume were measured semi-automatically by expert, non-expert, and fully automatic QCT analyses, and then compared to IVUS. RESULTS: Between IVUS and expert QCT analysis, the correlation coefficients (r) for the MLA, %AS, %PB, and plaque volume were excellent: 0.89 (p < 0.001), 0.84 (p < 0.001), 0.91 (p < 0.001), and 0.94 (p < 0.001), respectively. There were no significant differences in the mean parameters (all p values >0.05) except %AS (p = 0.01). The automatic QCT analysis showed comparable performance to non-expert QCT analysis, showing correlation coefficients (r) of the MLA (0.80 vs. 0.82), %AS (0.82 vs. 0.80), %PB (0.84 vs. 0.73), and plaque volume (0.84 vs. 0.79) when they were compared to IVUS, respectively. CONCLUSION: Fully automatic QCT analysis showed clinical utility compared with IVUS, as well as a compelling performance when compared with semiautomatic analyses. KEY POINTS: • Coronary CTA enables the assessment of coronary atherosclerotic plaque. • High-risk plaque characteristics and overall plaque burden can predict future cardiac events. • Coronary atherosclerotic plaque quantification is currently unfeasible in practice. • Quantitative computed tomography coronary plaque analysis software (QCT) enables feasible plaque quantification. • Fully automatic QCT analysis shows excellent performance.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/141694
DOI
10.1007/s00330-015-3698-z
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Internal Medicine
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Link
 http://link.springer.com/article/10.1007%2Fs00330-015-3698-z
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