Baseline sarcopenia and progressive SMI loss are independent predictors of survival in liposarcoma patients, with CT-morphometric parameters deteriorating substantially during the disease course.
Key Findings
Results
Baseline sarcopenia was an independent predictor of mortality in liposarcoma patients in multivariate analysis.
Hazard ratio for baseline sarcopenia was 2.331 (p = 0.007) in multivariate Cox regression analysis.
The study included 64 patients from a retrospective, single-center study between 2010 and 2024.
All patients underwent surgical tumor resection of a histologically confirmed liposarcoma.
Survival data were obtained from the residents' registration office and analyzed using Kaplan-Meier survival analysis.
Results
Progressive skeletal muscle index loss of 15% or greater was an independent predictor of mortality in liposarcoma patients.
Hazard ratio for a ≥ 15% SMI decline was 2.601 (p = 0.006) in multivariate Cox regression analysis.
SMI was measured on CT axial images at the height of lumbar vertebral 3 using standardized Hounsfield unit thresholds.
This finding remained significant after adjustment in the multivariate model alongside baseline sarcopenia.
Results
Significant reductions in multiple CT-derived body composition parameters were observed over the disease course of liposarcoma.
Parameters showing significant reductions included skeletal muscle index (SMI), paraspinal muscle index (PSMI), psoas muscle index (PMI), and visceral adipose tissue (VAT).
Skeletal muscle density (SMD) was also measured but was not listed among the significantly reduced parameters.
Reductions were particularly notable among patients with high-grade tumors, chemotherapy, or local tumor recurrence.
Metric data were compared using Student's t-test.
Results
Tumor grade, chemotherapy, and local tumor recurrence influenced body composition changes in liposarcoma patients.
Muscle loss was particularly pronounced among patients with high-grade tumors.
Chemotherapy was associated with greater reductions in body composition parameters.
Local tumor recurrence was also associated with more significant deterioration in CT-morphometric parameters.
The study assessed the influence of tumor grade, recurrence, and treatment modalities on body composition as a secondary objective.
Results
Neither baseline sarcopenia nor progressive SMI loss correlated with changes in Eastern Cooperative Oncology Group (ECOG) performance status.
Baseline sarcopenia (HR: 2.331, p = 0.007) and ≥ 15% SMI decline (HR: 2.601, p = 0.006) were significant predictors of mortality but did not correlate with ECOG performance status changes.
This dissociation suggests that CT-based body composition metrics capture prognostic information not reflected in functional status assessments.
ECOG performance status is a standardized measure of functional status used in oncology settings.
Methods
The study used CT-derived morphometric parameters measured at the level of the third lumbar vertebra to assess body composition.
Parameters measured included skeletal muscle index (SMI), paraspinal muscle index (PSMI), psoas muscle index (PMI), skeletal muscle density (SMD), and visceral adipose tissue (VAT).
Standardized Hounsfield unit thresholds were used for the assessment of all parameters.
Measurements were taken on CT axial images at the height of lumbar vertebral 3.
Included patients had two consecutive CT scans available for longitudinal analysis.
Kylies J, Priemel M, Dupree A, Frosch K, Ballhause T. (2026). Sarcopenia as an independent prognostic marker in liposarcoma: A longitudinal analysis of body composition and survival.. PloS one. https://doi.org/10.1371/journal.pone.0327278