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Updated: Jan 13, 2026
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
Published on: March 21, 2021
Evaluation of two software programs for cross-sectional body composition analysis on abdominal computed tomography
Francesca D'Arcangelo1, Alberto Zanetto1, Abha Dunichand-Hoedl2
1Gastroenterology and Multivisceral Transplant Unit, Department of Surgery, Oncology and Gastroenterology, Padova University Hospital, Padova, Italy.
Abstract:
The impact of body composition abnormalities and clinical outcomes in patients with cirrhosis is well established. Abdominal computed tomography (CT) evaluation is the technique that is better evaluated; however, agreements are not well known. Fifty patients were randomly selected from two centers, and two observers independently evaluated their CT. The cross-sectional muscle area (CSMA), skeletal muscle index (SMI), muscle attenuation (MA), visceral adipose tissue area (VAT), visceral adipose tissue index (VATI), subcutaneous adipose tissue area (SAT), and subcutaneous adipose tissue area (SATI) were analyzed using SliceOmatic©V.5.0 (Magog, Canada), and Synapse 3D, Fujifilm. The interobserver and intersoftware intra-class correlation coefficients (ICCs) were highly equivalent for CSMA, SMI, MA, VAT, VATI, SAT, and SATI (Range 0.984-0.999, P < 0.001), and excellent Pearson's correlation coefficients were found for all comparisons (Range 0.970-0.998). Using different software programs to evaluate body composition in patients with cirrhosis showed excellent agreement for measuring muscle mass and adipose depots.
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