Image-based biomechanical modeling for coronary atherosclerotic plaque progression and vulnerability prediction

• DOI: 10.1016/j.ijcard.2022.02.005
• Publication Date: 2022-02-09T01:33:56Z
• Authors: Rui Lv; Liang Wang; Akiko Maehara; Xiaoya Guo; Jie Zheng; Habib Samady; Don P. Giddens; Gary S. Mintz; Gregg W. Stone; Dalin Tang
• Keywords: Computational model; Vulnerability; Fibrous cap; Vulnerable plaque; Stroke

Atherosclerotic plaque progression and rupture play an important role in cardiovascular disease development the final drastic events such as heart attack stroke. Medical imaging image-based computational modeling methods advanced considerably recent years to quantify morphology biomechanical conditions gain a better understanding of evolution process. This article first briefly reviewed clinical techniques for coronary thin-cap fibroatheroma (TCFA) plaques used modeling. was followed by summary different types models plaques. Plaque vulnerability prediction studies based on were compared. Much progress has been made reasonable high accuracy achieved. However, there are still some inconsistencies existing literature impact morphological factors future behavior, it is very difficult perform direct comparison analysis differences like image modality, selection, predictive models, progression/vulnerability measures exist among these studies. Encouraging data model sharing across research community would partially resolve differences, possibly lead clearer assertive conclusions. In vivo could be powerful tool quantitative assessment potential applications.