Literature DB >> 33994146

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

Se Ik Kim1, Soonho Yoon2, Taek Min Kim3, Jeong Yeon Cho3, Hyun Hoon Chung1, Yong Sang Song4.   

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.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

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

Mesh:

Year:  2021        PMID: 33994146     DOI: 10.1016/j.ygyno.2021.05.004

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  3 in total

1.  Deep learning-based quantification of temporalis muscle has prognostic value in patients with glioblastoma.

Authors:  Ella Mi; Radvile Mauricaite; Lillie Pakzad-Shahabi; Jiarong Chen; Andrew Ho; Matt Williams
Journal:  Br J Cancer       Date:  2021-11-30       Impact factor: 7.640

Review 2.  Association between Energy Balance-Related Factors and Clinical Outcomes in Patients with Ovarian Cancer: A Systematic Review and Meta-Analysis.

Authors:  Stephanie Stelten; Christelle Schofield; Yvonne A W Hartman; Pedro Lopez; Gemma G Kenter; Robert U Newton; Daniel A Galvão; Meeke Hoedjes; Dennis R Taaffe; Luc R C W van Lonkhuijzen; Carolyn McIntyre; Laurien M Buffart
Journal:  Cancers (Basel)       Date:  2022-09-20       Impact factor: 6.575

3.  Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis.

Authors:  Peng-Fei Lyu; Yu Wang; Qing-Xiang Meng; Ping-Ming Fan; Ke Ma; Sha Xiao; Xun-Chen Cao; Guang-Xun Lin; Si-Yuan Dong
Journal:  Front Oncol       Date:  2022-09-22       Impact factor: 5.738

  3 in total

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