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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  ;  Sanghoon Shin  ;  Ran Heo  ;  Reza Arsanjani  ;  Pieter H. Kitslaar  ;  Alexander Broersen  ;  Jouke Dijkstra  ;  Sung Gyun Ahn  ;  James K. Min  ;  Hyuk-Jae Chang  ;  Myeong-Ki Hong  ;  Yangsoo Jang  ;  Namsik Chung 
Citation
 EUROPEAN RADIOLOGY, Vol.25(10) : 3073-3083, 2015 
Journal Title
EUROPEAN RADIOLOGY
ISSN
 0938-7994 
Issue Date
2015
MeSH
Aged ; Algorithms ; Coronary Angiography/methods ; Coronary Artery Disease/pathology* ; Feasibility Studies ; Female ; Humans ; Male ; Middle Aged ; Observer Variation ; Plaque, Atherosclerotic/diagnostic imaging ; Plaque, Atherosclerotic/pathology* ; Tomography, X-Ray Computed/methods ; Ultrasonography, Interventional/methods
Keywords
Coronary atherosclerotic plaque ; Coronary computed tomography angiography ; Automatic quantification ; Plaque volume ; Intravascular ultrasound
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.
Full Text
http://link.springer.com/article/10.1007%2Fs00330-015-3698-z
DOI
10.1007/s00330-015-3698-z
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Lee, Byoung Kwon(이병권) ORCID logo https://orcid.org/0000-0001-9259-2776
Jang, Yang Soo(장양수) ORCID logo https://orcid.org/0000-0002-2169-3112
Chang, Hyuk-Jae(장혁재) ORCID logo https://orcid.org/0000-0002-6139-7545
Chung, Nam Sik(정남식)
Heo, Ran(허란)
Hong, Myeong Ki(홍명기) ORCID logo https://orcid.org/0000-0002-2090-2031
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/141694
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