<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Vu PT</submitter><funding>NCATS NIH HHS</funding><funding>NIBIB NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><pagination>14807</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11208425</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(1)</volume><pubmed_abstract>The study of muscle mass as an imaging-derived phenotype (IDP) may yield new insights into determining the normal and pathologic variations in muscle mass in the population. This can be done by determining 3D abdominal muscle mass from 12 distinct abdominal muscle regions and groups using computed tomography (CT) in a racially diverse medical biobank. To develop a fully automatic technique for assessment of CT abdominal muscle IDPs and preliminarily determine abdominal muscle IDP variations with age and sex in a clinically and racially diverse medical biobank. This retrospective study was conducted using the Penn Medicine BioBank (PMBB), a research protocol that recruits adult participants during outpatient visits at hospitals in the Penn Medicine network. We developed a deep residual U-Ne</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank.</pubmed_title><pmcid>PMC11208425</pmcid><funding_grant_id>P41 EB029460</funding_grant_id><funding_grant_id>UL1 TR001878</funding_grant_id><pubmed_authors>Rader DJ</pubmed_authors><pubmed_authors>Chahine C</pubmed_authors><pubmed_authors>Swago S</pubmed_authors><pubmed_authors>Gee J</pubmed_authors><pubmed_authors>Chatterjee N</pubmed_authors><pubmed_authors>Thompson EW</pubmed_authors><pubmed_authors>Wu G</pubmed_authors><pubmed_authors>Bradford Y</pubmed_authors><pubmed_authors>Gershuni V</pubmed_authors><pubmed_authors>Ikhlas A</pubmed_authors><pubmed_authors>Verma A</pubmed_authors><pubmed_authors>Livingstone M</pubmed_authors><pubmed_authors>Dudek S</pubmed_authors><pubmed_authors>Vu PT</pubmed_authors><pubmed_authors>Luks V</pubmed_authors><pubmed_authors>Naseer N</pubmed_authors><pubmed_authors>Vadivieso F</pubmed_authors><pubmed_authors>Judy R</pubmed_authors><pubmed_authors>Hu-Sain K</pubmed_authors><pubmed_authors>Stephanowski J</pubmed_authors><pubmed_authors>Penn Medicine Biobank</pubmed_authors><pubmed_authors>Haubein N</pubmed_authors><pubmed_authors>Poindexter A</pubmed_authors><pubmed_authors>Raghupathy P</pubmed_authors><pubmed_authors>DerOhannessian S</pubmed_authors><pubmed_authors>Sagreiya H</pubmed_authors><pubmed_authors>Oteng E</pubmed_authors><pubmed_authors>Verma SS</pubmed_authors><pubmed_authors>MacLean MT</pubmed_authors><pubmed_authors>Weaver J</pubmed_authors><pubmed_authors>Zielinski M</pubmed_authors><pubmed_authors>Ritchie MD</pubmed_authors><pubmed_authors>Drivas T</pubmed_authors><pubmed_authors>Duda J</pubmed_authors><pubmed_authors>Risman M</pubmed_authors><pubmed_authors>Rader D</pubmed_authors><pubmed_authors>Kripke CM</pubmed_authors><pubmed_authors>Tran T</pubmed_authors><pubmed_authors>Bhattaru A</pubmed_authors><pubmed_authors>Tran R</pubmed_authors><pubmed_authors>Dunn J</pubmed_authors><pubmed_authors>Ko YA</pubmed_authors><pubmed_authors>Witschey WR</pubmed_authors><pubmed_authors>Davidson L</pubmed_authors><pubmed_authors>Hazim M</pubmed_authors></additional><is_claimable>false</is_claimable><name>CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank.</name><description>The study of muscle mass as an imaging-derived phenotype (IDP) may yield new insights into determining the normal and pathologic variations in muscle mass in the population. This can be done by determining 3D abdominal muscle mass from 12 distinct abdominal muscle regions and groups using computed tomography (CT) in a racially diverse medical biobank. To develop a fully automatic technique for assessment of CT abdominal muscle IDPs and preliminarily determine abdominal muscle IDP variations with age and sex in a clinically and racially diverse medical biobank. This retrospective study was conducted using the Penn Medicine BioBank (PMBB), a research protocol that recruits adult participants during outpatient visits at hospitals in the Penn Medicine network. We developed a deep residual U-Ne</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jun</publication><modification>2026-05-03T03:22:52.714Z</modification><creation>2025-04-04T21:21:58.245Z</creation></dates><accession>S-EPMC11208425</accession><cross_references><pubmed>38926479</pubmed><doi>10.1038/s41598-024-64603-6</doi></cross_references></HashMap>