Department of Informatics, Ionian University, Corfu, Greece.
Biomedical Research Foundation of Academy of Athens, Athens, Greece.
Adv Exp Med Biol. 2021;1337:291-297. doi: 10.1007/978-3-030-78771-4_32.
Continued development in the field of cardiovascular modeling over the past few years has contributed to the production of precise three-dimensional models of main coronary arteries. Computational fluid dynamic-derived parameters such as smartFFR, a CT-FFR surrogate, and endothelial shear stress (ESS) can be assessed from non-invasive imaging techniques like computed tomography coronary angiography using novel 3D reconstruction methods and can be used to investigate the functional significance of an artery. The investigation of the different flow conditions for the calculation (steady state vs. transient) of the ESS presents that while there is a difference in the final values, it is not statistically significant. ESS in the whole vessel is higher compared to the lesion-specific segments and smartFFR calculated in lesion segment does not reflect accurately the flow capability of the vessel. Higher ESS is present in vessels with <0.85 smartFFR and both parameters are present higher values in vessels with abnormal PET myocardial perfusion imaging.
过去几年，心血管建模领域的持续发展促进了主要冠状动脉的精确三维模型的产生。通过使用新型三维重建方法，从计算机断层血管造影等非侵入性成像技术中可以评估计算流体动力学衍生的参数，如智能 FFR（一种 CT-FFR 替代物）和内皮剪切应力（ESS），并可用于研究动脉的功能意义。对 ESS 计算的不同流动条件（稳态与瞬态）的研究表明，虽然最终值存在差异，但无统计学意义。整个血管的 ESS 比病变特定节段高，病变节段中计算的智能 FFR 不能准确反映血管的血流能力。智能 FFR<0.85 的血管中存在更高的 ESS，并且这两个参数在异常 PET 心肌灌注成像的血管中存在更高的值。
