Objectives: The prognostic role of sarcopenia or myosteatosis is controversial in advanced-stage epithelial ovarian cancer (EOC). The phase of computed tomography (CT) could influence muscle measurement and confound its association with outcomes. This study evaluated the prognostic value of muscle measurement in patients with stage III EOC using a standardized phase of computed tomography.
Methods: Pretreatment CT images of 147 patients with stage III EOC were analyzed. All CT images were contrast-enhanced and acquired according to the standardized protocol. Skeletal muscle index (SMI) and radiodensity (SMD) were measured using CT images at the level of the third lumbar vertebra. The skeletal muscle gauge (SMG) was calculated by multiplying SMI and SMD. Harrell's concordance index (C-index) and time-dependent receiver operating characteristic curves were used to measure the predictive value of the models.
Results: The median follow-up period was 37.5 mo. SMI, SMD, and SMG were independently associated with overall survival when adjusted for clinical variables. Adding SMG to the model including stage, residual tumor, and malignant ascites significantly improved C-indices (0.704 vs. 0.629; P < 0.001). Models including SMG had a superior C-index compared with models including SMI and SMD (0.704 vs. 0.668; P = 0.01). The SMG model achieved the highest area under the curve for 5-year overall survival prediction (0.619 for clinical model, 0.702 for SMI model, and 0.710 for SMG model).
Conclusions: Muscle measurements obtained from a standardized phase of CT images were associated with survival in advanced-stage EOC. The integration of SMI and SMD into SMG may improve prognostication and unify findings in future studies.
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http://dx.doi.org/10.1016/j.nut.2019.110642 | DOI Listing |
Eur J Radiol
January 2025
Jiangsu Province Nantong City Cancer Hospital, Affiliated Cancer Hospital of Nantong University, Nantong, Jiangsu Province 226001, China. Electronic address:
Objective: This study aimed to explore the predictive value of baseline CT body composition and its early changes on recurrence-free survival (RFS) following radical gastrectomy, while also assessing potential sex-related differences.
Methods: We conducted a retrospective analysis of gastric cancer (GC) patients with confirmed pathology from October 2019 to May 2023. All patients underwent preoperative and postoperative CT scans to assess visceral fat area (VFA), subcutaneous fat area (SFA), skeletal muscle area (SMA), and skeletal muscle density (SMD), along with calculating their respective rates of change.
BMC Musculoskelet Disord
January 2025
Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Objective: We employed a meta-analysis to investigate the risk factors associated with sarcopenia in patients undergoing dialysis.
Methods: We conducted a search in PubMed, Embase, Cochrane Library, and Web of Science databases. Inclusion criteria included case-control and cohort studies on risk factors for sarcopenia in dialysis patients.
Clin Nutr
December 2024
Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Background & Aims: Skeletal muscle (SM) health has significant prognostic value in geriatric and chronic disease populations, yet its assessment is frequently omitted due to challenges in evaluation. The creatinine-to-cystatin C ratio (CCR) is a simple serum-based measure that associates well with measured SM quantity (myopenia) and strength, but evidence for its association with SM quality (myosteatosis) is limited and conflicting. This study investigated the association between CCR and computed tomography (CT) measures of myopenia and myosteatosis.
View Article and Find Full Text PDFSci Rep
December 2024
Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.
View Article and Find Full Text PDFQuant Imaging Med Surg
December 2024
Peking University Hepatology Institute, Peking University People's Hospital, Beijing, China.
Background: Sarcopenia, myosteatosis, and sarcopenic obesity are known to adversely affect nutritional status and quality of life in cirrhotic patients. However, there is limited research on these conditions in individuals with primary biliary cholangitis (PBC). This study aims to identify risk factors for sarcopenia, myosteatosis, and sarcopenic obesity in PBC patients and to investigate their association with therapeutic outcomes and liver-related mortality.
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