ArticleRadiologia brasileira
Computed tomography assessment of body composition in patients with nonmetastatic breast cancer: what are the best prognostic markers?
Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and clinical implications of sarcopenia in breast cancer: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Pooled it
- Baseline Body Composition Characteristics and Overall Survival in Young Women with Breast Cancer: Matched Case-Control Study Nested Within a Cohort.Tomography (Ann Arbor, Mich.) · 2026Article
- Factors associated with clinical outcomes of breast cancer based on glucose metabolic activity of subcutaneous adipose tissue.Frontiers in oncology · 2026Article
- CT-based body composition and its demographic and clinical associations in women aged 20 to 40 with non-metastatic breast cancer.Scientific reports · 2025Article
- Is Adipose Tissue Inflammation the Culprit of Obesity-Associated Comorbidities?Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Radiomic-based biomarkers: Transforming age and body composition metrics into personalized age-informed indices.Clinical and translational science · 2024Review
- Anthropometric equation has sufficient diagnostic capacity to identify sarcopenia in women with breast cancer.BMC cancer · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To correlate body composition measures, based on computed tomography (CT) analysis of muscle mass and adipose tissue, with disease-free survival in breast cancer patients. Materials and Methods: This single-center retrospective study included 262 female patients with nonmetastatic breast cancer. Body composition was assessed on a pretreatment CT scan (at the L3 level). The analysis included quantification of the areas of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle mass, as well as of the mean skeletal muscle density. The VAT/SAT ratio, skeletal mass index (SMI), and skeletal muscle gauge (SMG) were calculated. Results: Of the 262 patients evaluated, 175 (66.8%) were classified as overweight or obese on the basis of their body mass index. We observed low SMI in 35 patients (13.4%) and elevated VAT in 123 (46.9%). Disease-free survival was significantly shorter in the patients who underwent neoadjuvant chemotherapy ( Conclusion: Our results confirm that low SMG and the VAT/SAT ratio can be used as imaging biomarkers to assess prognosis in patients with nonmetastatic breast cancer.
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