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KMID : 0191120210360010002
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Journal of Korean Medical Science
2021 Volume.36 No. 1 p.2 ~ p.2
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Sarcopenia as a Predictor of Prognosis in Early Stage Ovarian Cancer
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Chae Su-Hyun
Lee Chul-Min
Yoon Sang-Hee
Shim Seung-Hyuk
Lee Sun-Joo
Kim Soo-Nyung
Chung So-Chung
Lee Ji-Young
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Abstract
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Background: To identify sarcopenia as a predictive prognostic factor of ovarian cancer in terms of survival outcome in patients with early-stage ovarian cancer.
Methods: Data of Konkuk University Medical Center from March 2002 to December 2017 were reviewed retrospectively. Eighty-two patients who underwent surgery due to early-stage (International Federation of Gynecology and Obstetrics stage I/II) ovarian cancer and had computed tomography (CT) images taken at the initial diagnosis were included. The initial CT scan images were analyzed with SliceOmatic software (TomoVision). A sarcopenia cutoff value was defined as a skeletal muscle index of ≤ 38.7 cm2/m2. Overall survival (OS) times were compared according to the existence of sarcopenia, and subgroup analyses were performed.
Results: A Kaplan-Meier analysis showed a significant survival disadvantage for patients with early-stage ovarian cancer when they had sarcopenia (P < 0.001; log-rank test). Sarcopenia remained a significant prognostic factor for OS in early-stage ovarian cancer, in a Cox proportional hazards model regression analysis (HR, 21.9; 95% CI, 2.0?199.9; P = 0.006).
Conclusion: This study demonstrated that sarcopenia was predictive of OS in patients with early-stage ovarian cancer. Further prospective studies with a larger number of patients are warranted to determine the extent to which sarcopenia can be used as a prognostic factor in ovarian cancer.
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KEYWORD
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Early Stage Ovarian Cancer, Sarcopenia, Overall Survival, Prognostic Factor
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