Muscle composition measured by CT scan is a measurable predictor of overall survival in advanced ovarian cancer

Amanika Kumar, Michael R. Moynagh, Francesco Multinu, William Arthur Cliby, Michaela E. McGree, Amy L. Weaver, Phillip M. Young, Jamie N Bakkum-Gamez, Carrie L. Langstraat, Sean Christopher Dowdy, Aminah Jatoi, Andrea Mariani

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

Objectives: To assess the impact of muscle composition and sarcopenia on overall survival in advanced epithelial ovarian cancer (EOC) after primary debulking surgery (PDS). Methods: Women with stage IIIC/IV EOC who underwent PDS with curative intent between 1/1/2006 and 12/31/2012 were included. Patient variables and vital status were abstracted. Body composition was evaluated in a semi-automated process using Slice-O-Matic software v4.3 (TomoVision). Skeletal muscle area and mean skeletal muscle attenuation were recorded. Associations with overall survival were evaluated using Cox proportional hazards models and recursive partitioning. Results: We identified 296 patients and 132 (44.6%) were classified as sarcopenic. The average mean skeletal muscle attenuation of the entire cohort was 33.4 Hounsfield units (HU). A multivariate model of overall risk of death included histology, residual disease, and mean skeletal attenuation. Among patients without residual disease, overall survival, but not progression free survival was significantly different between patients with low versus high mean skeletal attenuation (median survival, 2.8 vs. 3.3. years). Among patients with residual disease, overall survival was significantly different between patients with low versus high mean skeletal attenuation ≥. 36.40 vs.

Original languageEnglish (US)
JournalGynecologic Oncology
DOIs
StateAccepted/In press - Feb 26 2016

Keywords

  • Body composition
  • Ovarian cancer
  • Overall survival
  • Sarcopenia
  • Skeletal muscle attenuation

ASJC Scopus subject areas

  • Obstetrics and Gynecology
  • Oncology

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