ArticleJournal of cancer research and clinical oncology2025
Different cutoff values of the skeletal muscle mass and myosteatosis result in different clinical impact on overall survival in oncology. A subanalysis of a clinical trial.
Article in Journal of cancer research and clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Correlation of Computed Tomography (CT)-Based Body Composition and Survival in Pancreatic Cancer Patients: A Systematic Review.Tomography (Ann Arbor, Mich.) · 2026Pooled it
- Baseline body composition and early PRRT outcome in GEP-NETs: an exploratory analysis.European journal of nuclear medicine and molecular imaging · 2026Article
- Article
- Preoperative Psoas Muscle Index and Psoas Attenuation in Patients Undergoing Nephrectomy for Renal Cell Carcinoma: A Retrospective Cohort Study.Medicina (Kaunas, Lithuania) · 2026Article
- In reply to Topkan et al.The oncologist · 2026Article
- From Pixels to Prediction: Reviewing the Role of Artificial Intelligence in Body Composition Analysis.Journal of cachexia, sarcopenia and muscle · 2026Review
- NELA, P-POSSUM, and Paraspinal Muscle Index in risk stratification of elderly patients undergoing emergency laparotomy.BMC geriatrics · 2026Article
- Quantification of skeletal muscle density, mass and fat fraction using single-energy computed tomography.Journal of orthopaedic translation · 2026Article
- Methodologies for establishing and validating cut-points and comparative standards in medical imaging-based body composition analysis: a scoping review protocol.Systematic reviews · 2026Article
- Review
- Preoperative Psoas Muscle Index Predicts Long-Term Survival but Not Postoperative Morbidity After Curative-Intent Gastrectomy for Gastric Cancer.International journal of general medicine · 2026Article
- IL-6 signaling orchestrates proteolytic hubs MuRF1 and Atrogin-1 in NSCLC induced sarcopenia.Frontiers in immunology · 2026Article
- Body Composition Metrics Associated with Time to Progression in Smoldering Multiple Myeloma.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBody composition analysis, particularly the assessment of sarcopenia and myosteatosis, has emerged as a potential prognostic tool in oncology. However, the clinical implication of body composition parameters remains inconsistent, largely due to the variability in cutoff values used across studies. This study examines the influence on prevalence and prognostic influence of different cutoff values for sarcopenia and myosteatosis in patients in a standardized cohort from a large clinical trial (SORAMIC).
methodsThis study included 179 patients with unresectable liver cancer from the palliative arm of the SORAMIC trial. Skeletal muscle index (SMI) was calculated by measuring the cross-sectional area of skeletal muscle at the third lumbar vertebra (L3) on baseline CT scans. We then applied 14 published cutoff definitions for sarcopenia (SMI) and 7 for myosteatosis (muscle attenuation) to determine their prevalence in this cohort. Cox regression models were used to analyze the relationship between sarcopenia, myosteatosis, and OS.
resultsThe prevalence of sarcopenia ranged from 8.9% (Van der Werf et al.) to 69.8% (Lanic et al.). Overall, 3 of the 14 cutoffs [Van Vledder et al. (HR = 1.53, p = 0.03), Coelen et al. (HR = 1.46, p = 0.03), and Derstine et al. (HR = 1.47, p = 0.04)] showed a relevant association with OS. Other cut off values were not associated with OS. The prevalence of myosteatosis varied between 10.1% (Nachit et al.) and 53.1% (Zhang et al.). One of the 7 cutoffs (Chu et al.) demonstrated a relevant association with OS (HR = 1.53, p = 0.03).
conclusionThe large variability in prevalence and prognostic impact observed across different cutoff definitions underscores the urgent need for standardized, cancer-specific cutoff values for SMI and muscle attenuation. Establishing uniform criteria will enhance the reliability and clinical applicability of body composition metrics as prognostic tools in oncology. Further research should focus on refining these cutoffs and validating them across diverse cancer populations.
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