biostudies-literaturePekar MMinisterstvo Školství, Mládeže a Tělovýchovy8842https://www.ebi.ac.uk/biostudies/studies/S-EPMC11024085biostudies-literatureUnknown14(1)Sarcopenia is a serious systemic disease that reduces overall survival. TAVI is selectively performed in patients with severe aortic stenosis who are not indicated for open cardiac surgery due to severe polymorbidity. Artificial intelligence-assisted body composition assessment from available CT scans appears to be a simple tool to stratify these patients into low and high risk based on future estimates of all-cause mortality. Within our study, the segmentation of preprocedural CT scans at the level of the lumbar third vertebra in patients undergoing TAVI was performed using a neural network (AutoMATiCA). The obtained parameters (area and density of skeletal muscles and intramuscular, visceral, and subcutaneous adipose tissue) were analyzed using Cox univariate and multivariable models forScientific reportsSarcopenia and adipose tissue evaluation by artificial intelligence predicts the overall survival after TAVI.PMC11024085MUNI/A/1547/2023MUNI/A/1555/2023Neuwirth RDanis DBlaha LBranny PBalusik JNovak JPekar MJiravsky OHecko JKantor MProsecky RfalseSarcopenia and adipose tissue evaluation by artificial intelligence predicts the overall survival after TAVI.Sarcopenia is a serious systemic disease that reduces overall survival. TAVI is selectively performed in patients with severe aortic stenosis who are not indicated for open cardiac surgery due to severe polymorbidity. Artificial intelligence-assisted body composition assessment from available CT scans appears to be a simple tool to stratify these patients into low and high risk based on future estimates of all-cause mortality. Within our study, the segmentation of preprocedural CT scans at the level of the lumbar third vertebra in patients undergoing TAVI was performed using a neural network (AutoMATiCA). The obtained parameters (area and density of skeletal muscles and intramuscular, visceral, and subcutaneous adipose tissue) were analyzed using Cox univariate and multivariable models for2024-01-01T00:00:00Z2024 Apr2026-06-01T21:19:34.455Z2026-05-21T03:08:08.94ZS-EPMC110240853863231710.1038/s41598-024-59134-z