1. Advanced analyses of computed tomography coronary angiography can help discriminate ischemic lesions
- Author
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Boyang Su, Aileen Mae Lomarda, Jack Wei Chieh Tan, Xiaodan Zhao, Nasrul Bin Ismail, Tian Hai Koh, Ris Low, Aaron Sung Lung Wong, Hua Zou, Khung Keong Yeo, Soo Teik Lim, Terrance Chua, Like Gobeawan, Swee Yaw Tan, Chee Yang Chin, Kay Woon Ho, Yi Su, Jun-Mei Zhang, Philip Wong, Xi Su, Soo-Kng Teo, John Carson Allen, Jonathan Yap, Felix Keng, Yanling Chi, Min Wan, Lohendran Baskaran, Chee Tang Chin, Liang Zhong, Dongsi Shuang, Jiang Ming Fam, Ghassan S. Kassab, Jiayin Zhou, Ru San Tan, Weimin Huang, and Weijun Wu
- Subjects
Coronary angiography ,Male ,China ,Computed Tomography Angiography ,Increased AUC ,Ischemia ,Hemodynamics ,Computed tomography ,Fractional flow reserve ,Coronary Artery Disease ,030204 cardiovascular system & hematology ,Lesion ,03 medical and health sciences ,0302 clinical medicine ,Predictive Value of Tests ,Medicine ,Humans ,030212 general & internal medicine ,Aged ,Retrospective Studies ,Singapore ,medicine.diagnostic_test ,business.industry ,Middle Aged ,medicine.disease ,Coronary Vessels ,Plaque, Atherosclerotic ,Fractional Flow Reserve, Myocardial ,Stenosis ,Dimensional Measurement Accuracy ,Female ,medicine.symptom ,Cardiology and Cardiovascular Medicine ,Nuclear medicine ,business - Abstract
Background Computed tomography coronary angiography (CTCA) image analysis enables plaque characterization and non-invasive fractional flow reserve (FFR) calculation. We analyzed various parameters derived from CTCA images and evaluated their associations with ischemia. Methods 49 (61 lesions) patients underwent CTCA and invasive FFR. Lesions with diameter stenosis (DS) ≥ 50% were considered obstructive. CTCA image processing incorporating analytical and numerical methods were used to quantify anatomical parameters of lesion length (LL) and minimum lumen area (MLA); plaque characteristic parameters of plaque volume, low attenuation plaque (LAP) volume, dense calcium volume (DCV), normalized plaque volume (NP Vol), plaque burden, eccentricity index and napkin-ring (NR) sign; and hemodynamic parameters of resistance index, stenosis flow reserve (SFR) and FFR B . Ischemia was defined as FFR ≤ 0.8. Results Plaque burden and plaque volume were inversely related to FFR. Multivariable logistic regression analysis identified the best anatomical, plaque and hemodynamic predictors, respectively, as DS (≥50% vs B (≤0.8 vs >0.8; OR: 44.4; 95% CI: 8.8–224.8). AUC increased from 0.70 with DS as the sole predictor to 0.81 after adding NP Vol and NR Sign; further addition of FFR B increased AUC to 0.93. Conclusion Normalized plaque volume, napkin-ring derived from plaque analysis, and FFR B from numerical simulations on CTCA images substantially improved discrimination of ischemic lesions, compared to assessment by DS alone.
- Published
- 2018