Phenotyping calcification in vascular tissues using artificial intelligence.

ABSTRACT: Vascular calcification is implicated as an important factor in major adverse cardiovascular events (MACE), including heart attack and stroke. A controversy remains over how to integrate the diverse forms of vascular calcification into clinical risk assessment tools. Even the commonly used calcium score for coronary arteries, which assumes risk scales positively with total calcification, has important inconsistencies. Fundamental studies are needed to determine how risk is influenced by the diverse calcification phenotypes. However, studies of these kinds are hindered by the lack of high-throughput, objective, and non-destructive tools for classifying calcification in imaging data sets. Here, we introduce a new classification system for phenotyping calcification along with a semi-automated,

SUBMITTER: Ramezanpour M 

PROVIDER: S-EPMC10836085 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature