Search results for "Pericoronaric adipose fat"

showing 1 items of 1 documents

CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease

2023

AbstractThis study was aimed to investigate the predictive value of the radiomics features extracted from pericoronaric adipose tissue — around the anterior interventricular artery (IVA) — to assess the condition of coronary arteries compared with the use of clinical characteristics alone (i.e., risk factors). Clinical and radiomic data of 118 patients were retrospectively analyzed. In total, 93 radiomics features were extracted for each ROI around the IVA, and 13 clinical features were used to build different machine learning models finalized to predict the impairment (or otherwise) of coronary arteries. Pericoronaric radiomic features improved prediction above the use of risk factors alon…

Predictive modelsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRadiomic featuresCognitive NeuroscienceClinical featuresModel explainabilityComputer Vision and Pattern RecognitionPericoronaric adipose fatCoronary artery diseaseMachine learning classifiersComputer Science ApplicationsCognitive Computation
researchProduct