Erschienen in:
01.10.2015 | Cardiac
Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound
verfasst von:
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
Erschienen in:
European Radiology
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Ausgabe 10/2015
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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.