Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning.

ABSTRACT: SignificanceCoronary heart disease has the highest rate of death and morbidity in the Western world. Atherosclerosis is an asymptomatic condition that is considered the primary cause of cardiovascular diseases. The accumulation of low-density lipoprotein triggers an inflammatory process in focal areas of arteries, which leads to the formation of plaques. Lipid-laden plaques containing a necrotic core may eventually rupture, causing heart attack and stroke. Lately, intravascular optical coherence tomography (IV-OCT) imaging has been used for plaque assessment. The interpretation of the IV-OCT images is performed visually, which is burdensome and requires highly trained physicians for accurate plaque identification.AimOur study aims to provide high throughput lipid-laden plaque identificatio

SUBMITTER: Rico-Jimenez JJ 

PROVIDER: S-EPMC9616160 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature