ArticleJournal of imaging informatics in medicine2026
Agreement Between Semi-Automated CT-Based Body Composition Software and Qualitative Muscle Assessment in Sarcopenia: A Comparative Study in Abdominal Malignancies.
Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To compare quantitative muscle and adipose tissue parameters obtained using two semi-automated CT-based body composition analysis software tools and to evaluate their association with qualitative muscle assessment using the Goutallier classification in patients with abdominal malignancies. This retrospective study included 103 patients with histopathologically confirmed abdominal malignancies who underwent non-contrast abdominopelvic CT examinations. Body composition parameters at the L3 vertebral level, including total abdominal muscle area (TAMA), skeletal muscle index (SMI), psoas muscle area, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), were independently measured using CoreSlicer version 1.0 and AsanJ-Morphometry. Qualitative muscle assessment was performed using the Goutallier classification. Agreement between the two software tools was evaluated using intraclass correlation coefficient (ICC) and Bland-Altman analysis. Quantitative measurements obtained from both software platforms demonstrated high agreement across all muscle and adipose tissue parameters. Higher Goutallier grades were significantly associated with lower muscle density and reduced muscle area. Semi-automated quantitative measurements also demonstrated strong consistency with qualitative muscle assessment. Semi-automated CT-based body composition analysis software tools provide reliable quantitative measurements and demonstrate high agreement; however, systematic differences exist, and therefore the two software tools should not be considered fully interchangeable for sarcopenia assessment. The combined use of quantitative and qualitative muscle evaluation may improve the clinical assessment of sarcopenia in patients with abdominal malignancies.
Indexed as
Identifiers
42277545What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.