U.S., May 23 -- ClinicalTrials.gov registry received information related to the study (NCT07600866) titled 'Validation of a Body-Composition Segmentation Software on a Diverse Public CT Scan Cohort' on May 15.
Brief Summary: This study evaluates the standalone performance of Soma, a deep-learning software developed by Nucleo Research, Inc. for the automated segmentation of body-composition tissues (skeletal muscle, subcutaneous adipose tissue, visceral adipose tissue, and intramuscular adipose tissue) on whole-body computed tomography (CT) images. The aim is to confirm that Soma produces segmentations and tissue-area measurements that agree with a multi-rater expert reference standard, on a diverse cohort representative of demographic and ...