ArticleJournal of cachexia, sarcopenia and muscle2025
Comparison Between Single- and Multi-slice Computed Tomography Body Composition Analysis in Patients With Oesophagogastric Cancer.
Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Integrated Assessment of Sarcopenia in Patients with Gastric Cancer Using Deep Learning and Radiomics.Journal of cachexia, sarcopenia and muscle · 2026Article
- Future of CT body composition research: Methodological discrepancies and advances.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026Review
- Cancer cachexia: molecular basis and therapeutic advances.Signal transduction and targeted therapy · 2026Review
- Assessment of MRI-Derived proton density fat fraction of total subcutaneous adipose tissue for discrimination primary aldosteronism subtypes.Endocrine · 2026Article
- From mechanisms to management: a comprehensive review of sarcopenia in gastric cancer.Frontiers in nutrition · 2026Review
- Embedding nutrition into routine oncology care: about time?Oncology reviews · 2026Review
- Lumbar centroid level subcutaneous fat volume increased performance of prognostic predictive model in digestive system cancers: a real-world cohort study.Journal of gastrointestinal oncology · 2025Article
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10 authors.
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Abstract
backgroundSingle-slice computed tomography (CT) body composition has been studied extensively for prognostication in patients with cancer. New software packages can also provide multi-slice volumetric measurements, but the clinical utility of these remains under explored. This study aimed to evaluate the agreement between single- and multi-slice body composition analyses in patients with oesophagogastric cancer and to explore the association between these measures and overall survival.
methodsConsecutive patients with newly diagnosed oesophagogastric (OG) cancer were identified through the prospectively maintained regional database of the South East Scotland Cancer Network across a 2-year study period. CT body composition analyses were undertaken using scans collected during routine clinical care. Single-slice (cross-sectional area at mid L3) and multi-slice (volume between T12 and L4) measurements were compared for skeletal muscle (SKM), subcutaneous adipose (SAT), visceral adipose (VAT) and intermuscular adipose (IMAT). Agreement between sex-stratified z-scores was quantified using Pearson correlation coefficients and Bland-Altman analyses. Cox proportional hazard modelling was used to estimate the effect of these measures on overall survival.
resultsOverall, 504 patients (67.9% male, median 72 years) were newly diagnosed with OG cancer during the study period. Single- and multi-slice (mean: 169 slices) measurements correlated highly for SKM (R: 0.97, p < 0.001), SAT (R: 0.98, p < 0.001), VAT (R: 0.97, p < 0.001), SKM radiodensity (R: 0.93, p < 0.001) and IMAT (R: 0.88, p < 0.001). Bias on Bland-Altman analysis was 0.00 for all tissue measurements. Limits of agreement (LoA) were narrowest for SAT (±0.43), VAT (±0.46) and SKM (±0.48), but slightly wider for SKM radiodensity (±0.73) and IMAT (±0.96). Adipose tissue 'outliers' (those where agreement between single- and multi-slice z-scores was outside the LoA) had a higher median weight and body mass index (BMI), suggestive of poorer agreement in patients with obesity. Sensitivity analysis, excluding those with BMI > 30, narrowed the LoA for SKM, VAT, SAT and IMAT. Direction and magnitudes of observed effect sizes for overall survival were all highly comparable, with hazard ratios for each tissue type varying by ≤ 0.04 between single- and multi-slice adjusted estimates.
conclusionsSingle-slice and multi-slice CT assessments provide highly correlated tissue measurements amongst patients with OG cancer. Associations between these measurements and overall survival were also comparable across both types of body composition analysis. Agreement between single- and multi-slice measurements of adiposity is worse in patients with obesity, suggesting single-slice analyses may less accurately reflect the quantity or distribution of adipose tissue in this patient group.
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