1. Non-invasive coronary physiology based on computational analysis of intracoronary transluminal attenuation gradient
- Author
-
Yonggyun Bae, Seung Tae Hwang, Huan Han, Sung Mok Kim, Joo Myung Lee, Jin-Ho Choi, Il Han Park, Young J. Moon, and Hyung Yoon Kim
- Subjects
Male ,medicine.medical_specialty ,Computed Tomography Angiography ,lcsh:Medicine ,030204 cardiovascular system & hematology ,Coronary Angiography ,Article ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Computational analysis ,Transluminal attenuation gradient ,lcsh:Science ,Multidisciplinary ,business.industry ,Non invasive ,lcsh:R ,Models, Cardiovascular ,Myocardial Perfusion Imaging ,Computational Biology ,Blood flow ,medicine.disease ,Coronary Vessels ,Stenosis ,Flow velocity ,Regional Blood Flow ,Cardiology ,lcsh:Q ,Female ,Coronary physiology ,business ,Perfusion - Abstract
Invasive procedure is a prerequisite for studying coronary physiology. We established the measurement of non-invasive physiological parameters including coronary blood flow (CBF), flow velocity, and microvascular resistance using coronary computed tomography angiography (CCTA). Vessel-specific CBF was derived from transluminal attenuation flow encoding (TAFE) and then tested using three separate datasets consisted of computational simulation, human perfusion CT, and human CCTA. TAFE-derived CBF correlated well with measured vessel-specific myocardial blood flow and CBF. TAFE-derived CBF per myocardial mass consistently decreased with the progressive severity of stenosis, and it was found to better to detect significant stenosis than transluminal attenuation gradient (TAG). With the addition of vessel anatomy, TAFE-derived CBF could calculate flow velocity and microvascular resistance. The results of non-invasively acquired parameters according to the severity of stenosis were similar to those obtained through invasive physiology studies. Our study demonstrated that non-invasive comprehensive coronary physiology parameters can be derived from CCTA without any pre-specified condition or performing complex heavy computational processes. Our findings are expected to expand the clinical coverage of CCTA and coronary physiology.
- Published
- 2017