Deep Learning-Based muscle segmentation and quantification at abdominal CT: Application to a longitudinal adult screening cohort for Sarcopenia assessment.

CONCLUSION: This fully-automated CT muscle tool allows for both individualized and population-based assessment. Such data could be automatically derived at abdominal CT regardless of study indication, allowing for opportunistic sarcopenia detection. ADVANCES IN KNOWLEDGE: This fully-automated tool can be applied to routine abdominal CT scans for prospective or retrospective opportunistic sarcopenia assessment, regardless of the original clinical indication. Mean values were significantly higher in males for both muscle area and muscle density. Overall age-related muscle density (attenuation) loss was steeper than for muscle area for both sexes, and therefore may be a more valuable predictor of adverse outcomes. PMID: 31199670 [PubMed - as supplied by publisher]
Source: The British Journal of Radiology - Category: Radiology Authors: Tags: Br J Radiol Source Type: research