Prognostic implications of body composition change during primary treatment in patients with ovarian cancer: A retrospective study using an artificial intelligence-based volumetric technique

Gynecol Oncol. 2021 Jul;162(1):72-79. doi: 10.1016/j.ygyno.2021.05.004. Epub 2021 May 14.

Abstract

Objective: To investigate the impact of changes in body composition during primary treatment on survival outcomes in patients with epithelial ovarian cancer (EOC).

Methods: We retrospectively identified patients diagnosed with EOC between 2010 and 2019. Using an artificial intelligence-based tool, the volumes of skeletal muscle, visceral fat, and subcutaneous fat were measured automatically at the waist level from pre-treatment and post-treatment computed tomography scans. Associations between changes in body mass index (BMI) and volume of each body composition component and survival outcomes were evaluated.

Results: A total of 208 patients were included. A significant decrease in BMI and waist volumes of skeletal muscle and visceral fat was observed during the primary treatment. Patients with BMI loss ≥5% showed significantly worse progression-free survival (PFS) and overall survival (OS) than those with BMI loss <5%. In multivariate analyses adjusting for clinicopathologic factors, BMI loss ≥5% was identified as an independent poor prognostic factor for PFS (adjusted HR, 1.565; 95% CI, 1.074-2.280; P = 0.020) and OS (adjusted HR, 2.754; 95% CI, 1.382-5.488; P = 0.004). Meanwhile, both muscle loss ≥10% and visceral fat loss ≥20% were associated with an increased mortality rate but did not affect disease recurrence. In multivariate analyses, muscle loss ≥10% (adjusted HR, 2.069; 95% CI, 1.055-4.058; P = 0.034) and visceral fat loss ≥20% (adjusted HR, 2.292; 95% CI, 1.023-5.133; P = 0.044) were poor prognostic factors for OS. Consistent results were observed in the advanced-stage disease subgroup (n = 173).

Conclusions: Changes in BMI and waist volume of skeletal muscle and visceral fat were associated with survival outcomes in patients with EOC.

Keywords: Body composition; Body mass index; Epithelial ovarian cancer; Muscle mass; Ovarian neoplasms; Prognosis; Survival; Visceral fat.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Composition*
  • Carcinoma, Ovarian Epithelial / diagnostic imaging*
  • Carcinoma, Ovarian Epithelial / pathology
  • Cohort Studies
  • Deep Learning*
  • Female
  • Humans
  • Intra-Abdominal Fat / diagnostic imaging
  • Intra-Abdominal Fat / pathology
  • Middle Aged
  • Muscle, Skeletal / diagnostic imaging
  • Muscle, Skeletal / pathology
  • Neoplasm Staging
  • Ovarian Neoplasms / diagnostic imaging*
  • Ovarian Neoplasms / pathology
  • Prognosis
  • Retrospective Studies
  • Subcutaneous Fat / diagnostic imaging
  • Subcutaneous Fat / pathology
  • Tomography, X-Ray Computed / methods