ArticleNutrients2024
Evaluation of Muscle Mass and Malnutrition in Patients with Colorectal Cancer Using the Global Leadership Initiative on Malnutrition Criteria and Comparing Bioelectrical Impedance Analysis and Computed Tomography Measurements.
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- FocusedON-BC: A Robust Deep Learning Framework for Automated Body Composition Assessment.Nutrients · 2026Article
- The clinical application value of body composition in predicting the prognosis of rectal cancer.International journal of clinical oncology · 2026Article
- Variability in BIA-Derived Muscle Mass Estimates: Device Choice Impacts Diagnostic Classification.Nutrients · 2026Article
- Integrating body composition analysis and machine learning for non-invasive identification of metabolic dysfunction-associated fatty liver disease: a large-scale health examination-based study.Scientific reports · 2026Article
- ODIASP: An Open-Source Software for Automated SMI Determination-Application to an Inpatient Population.Journal of cachexia, sarcopenia and muscle · 2025Article
- Artificial Intelligence-Assisted Muscular Ultrasonography for Assessing Inflammation and Muscle Mass in Patients at Risk of Malnutrition.Nutrients · 2025Observational
- Urinary Titin on the First Postoperative Day Predicts Long-Term Skeletal Muscle Loss in Patients with Gastroenterological Cancer.International journal of molecular sciences · 2025Observational
- Artificial intelligence-assisted rectus femoris ultrasound vs. L3 computed tomography for sarcopenia assessment in oncology patients: establishing diagnostic cut-offs for muscle mass and quality.Frontiers in nutrition · 2025Article
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Authors and funding
6 authors.
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Abstract
objectivesThe aim of this investigation was to evaluate the discrepancies between bioelectrical impedance analysis (BIA) and computed tomography (CT) in assessing skeletal muscle mass and identifying low muscle mass in patients with colorectal cancer.
methodsThis study recruited 137 patients with colorectal cancer from February 2028 to December 2023. CT scans were analyzed at the Lumbar 3 vertebral level to determine the area of skeletal muscle, which was then utilized to estimate whole-body skeletal muscle mass. [BIA] was also employed to measure skeletal muscle. Both skeletal muscle mass values [kg] were divided by height
resultsThe median age was 69.8 + 9.5 years, with the sex ratio being 88/49 [male/female]. Whereas more than one-third of the patients were classified as malnourished based on the Global Leadership Initiative on Malnutrition GLIM-CT criteria using L3-SMI [
conclusionsBIA generally overestimates skeletal muscle mass in colorectal cancer patients when contrasted to CT. As a result, BIA may underestimate the prevalence of poor muscle mass and malnutrition according to the GLIM criteria in this patient population.
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