Image-based modeling and precision medicine: patient-specific carotid and coronary plaque assessment and predictions.
Atherosclerotic plaques may rupture without warning and cause acute cardiovascular events such as heart attack and stroke. Current clinical screening tools are insufficient to identify those patients with risks early and prevent the adverse events from happening. Medical imaging and image-based modeling have made considerable progress in recent years in identifying plaque morphological and mechanical risk factors which may be used in developing improved patient screening strategies. The key steps and factors in image-based models for human carotid and coronary plaques were illustrated, as well as grand challenges facing the researchers in the field to develop more accurate screening tools.
Southeast University, Nanjing 210018, China. dtang@wpi.edu
Dalin
D
Tang
Chun
C
Yang
Jie
J
Zheng
Gador
G
Canton
Richard G
RG
Bach
Thomas S
TS
Hatsukami
Liang
L
Wang
Deshan
D
Yang
Kristen L
KL
Billiar
Chun
C
Yuan
D015415:Biomarkers; D001696:Biomechanical Phenomena; D002339:Carotid Arteries / Q000000981:diagnostic imaging / Q000473:pathology; D003331:Coronary Vessels / Q000000981:diagnostic imaging / Q000473:pathology; D006439:Hemodynamics; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008955:Models, Cardiovascular; D058226:Plaque, Atherosclerotic / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D015203:Reproducibility of Results; D012307:Risk Factors; D018084:Ultrasonography, Interventional / Q000379:methods*
D015415:Biomarkers