AI Article Synopsis
- - The study aimed to test two open-source programs (Horos and CoreSlicer) for assessing body composition using CT scans in colorectal cancer patients, particularly in settings with limited resources.
- - An analysis of skeletal muscle and fat tissue was conducted using CT scans, focusing on parameters like muscle mass, intensity, and fat area, with various cutoff points to identify conditions like muscle atrophy and obesity.
- - Results showed excellent agreement between the two software programs for measuring muscle area, though CoreSlicer tended to underestimate muscle intensity and slightly overestimate fat areas, leading to minimal misclassification in diagnosing conditions.
Article Abstract
Background: Body composition assessment using computed tomography (CT) scans may be hampered by software costs. To facilitate its implementation in resource-limited settings, two open-source segmentation programs (Horos and CoreSlicer) were transversally validated in colorectal cancer patients.
Methods: Contrast-enhanced abdominal CT scans were analyzed following the Alberta protocol. The Cross-Sectional Area (CSA) and intensities of skeletal muscle tissue (MT), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and intramuscular adipose tissue (IMAT) were measured. The Skeletal Muscle Index (SMI) was calculated. Cutoff points were applied to the SMI, MT intensity, and VAT CSA to define muscle atrophy, myosteatosis, and abdominal obesity. The inter-software agreement was evaluated using different statistical tools.
Results: A total of 68 participants were measured. The MT CSA and SMI displayed no differences. The MT CSA agreement was excellent, and both programs provided equal muscle atrophy prevalences. CoreSlicer underestimated the MT intensity, with a non-significant myosteatosis prevalence increase (+5.88% and +8.82%) using two different operative definitions. CoreSlicer overestimated the CSA and intensity in both VAT and SAT, with a non-significant increase (+2.94%) in the abdominal obesity prevalence.
Conclusions: Both software programs were feasible tools in the study group. The MT CSA showed great inter-software agreement and no muscle atrophy misdiagnosis. Segmentation differences in the MT intensity and VAT CSA caused limited diagnostic misclassification in the study sample.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11311585 | PMC |
| http://dx.doi.org/10.3390/diagnostics14151696 | DOI Listing |
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