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Updated: May 1, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Direct comparison of stress- and rest-dual-energy computed tomography for detection of myocardial perfusion defect
Sung Min Ko1, Jeong Hee Park, Hweung Kon Hwang
1Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, 4-12 Hwayang-dong, Gwangjin-gu, Seoul, 143-729, Korea.
Abstract:
We assessed the diagnostic performance of stress- and rest-dual-energy computed tomography (DECT) and their incremental value when used with coronary CT angiography (CCTA) compared with combined invasive coronary angiography (ICA)/cardiovascular magnetic resonance (CMR) for detecting hemodynamically significant stenosis causing a myocardial perfusion defect. Forty patients (30 men; mean age, 63.4 ± 8.8 years) with known or suspected coronary artery disease detected by CCTA underwent stress- and rest-DECT, CMR, and ICA. DECT iodine maps were compared with CMR on a per-segment and per-vessel basis. Diagnostic value of CCTA was assessed on a per-vessel basis before and after stress- and rest-DECT and compared to that of ICA/CMR. Compared to CMR, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of rest-DECT for detecting segment (vessel)-based perfusion defects were 29% (46%), 88% (79%), 56% (61%), and 70% (67%), respectively. Corresponding values using stress-DECT were 73% (94%), 83% (74%), 70% (72%), and 85% (95%), respectively. There was fair (κ = 0.39) agreement between rest- and stress-DECT iodine maps in identifying segments with perfusion defects. Compared with the ICA/CMR for identifying hemodynamically significant stenoses, per-vessel territory sensitivity, specificity, PPV, and NPV of CCTA were 91, 56, 55, and 91%, respectively; those using CCTA/rest-DECT were 42, 83, 59, and 70%, respectively; and those using CCTA/stress-DECT were 87, 79, 71, and 91%, respectively. The area under the receiver operating characteristic curve decreased from 0.74 to 0.62 (P = 0.06) using CCTA/rest-DECT but increased to 0.83 (P = 0.02) using CCTA/stress-DECT. Stress-DECT has incremental value when used with CCTA for detecting hemodynamically significant stenoses.
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