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Myocardial segmentation based on coronary anatomy using coronary computed tomography angiography: Development and validation in a pig model
Authors:Mi?Sun?Chung  Email author" target="_blank">Dong?Hyun?YangEmail author  Young-Hak?Kim  Soo-Jin?Kang  Joonho?Jung  Namkug?Kim  Seung-Ho?Heo  Seunghee?Baek  Joon?Beom?Seo  Byoung?Wook?Choi  Joon-Won?Kang  Tae-Hwan?Lim
Institution:1.Department of Radiology, Chung-Ang University Hospital,Chung-Ang University College of Medicine,Seoul,South Korea;2.Department of Radiology and Research Institute of Radiology,Asan Medical Center, University of Ulsan College of Medicine,Seoul,South Korea;3.Heart Institute,Asan Medical Center, University of Ulsan College of Medicine,Seoul,South Korea;4.Department of Convergence Medicine,Asan Medical Center, University of Ulsan College of Medicine,Seoul,South Korea;5.Asan institute for Life Science,Asan Medical Center, University of Ulsan College of Medicine,Seoul,South Korea;6.Department of Clinical Epidemiology and Biostatistics,Asan Medical Center, University of Ulsan College of Medicine,Seoul,South Korea;7.Department of Diagnostic Radiology, College of Medicine,Yonsei University,Seoul,South Korea
Abstract:

Objectives

To validate a method for performing myocardial segmentation based on coronary anatomy using coronary CT angiography (CCTA).

Methods

Coronary artery-based myocardial segmentation (CAMS) was developed for use with CCTA. To validate and compare this method with the conventional American Heart Association (AHA) classification, a single coronary occlusion model was prepared and validated using six pigs. The unstained occluded coronary territories of the specimens and corresponding arterial territories from CAMS and AHA segmentations were compared using slice-by-slice matching and 100 virtual myocardial columns.

Results

CAMS more precisely predicted ischaemic area than the AHA method, as indicated by 95% versus 76% (p?<?0.001) of the percentage of matched columns (defined as percentage of matched columns of segmentation method divided by number of unstained columns in the specimen). According to the subgroup analyses, CAMS demonstrated a higher percentage of matched columns than the AHA method in the left anterior descending artery (100% vs. 77%; p?<?0.001) and mid- (99% vs. 83%; p?=?0.046) and apical-level territories of the left ventricle (90% vs. 52%; p?=?0.011).

Conclusions

CAMS is a feasible method for identifying the corresponding myocardial territories of the coronary arteries using CCTA.

Key Points

? CAMS is a feasible method for identifying corresponding coronary territory using CTA ? CAMS is more accurate in predicting coronary territory than the AHA method ? The AHA method may underestimate the ischaemic territory of LAD stenosis
Keywords:
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