The relationship between imaging‐based body composition parameters and disease prognosis in patients with endometrial cancer

Adult Sarcopenia Middle Aged Prognosis Magnetic Resonance Imaging Endometrial Neoplasms 03 medical and health sciences 0302 clinical medicine Body Composition Humans Female Obesity Tomography, X-Ray Computed Retrospective Studies Aged
DOI: 10.1111/jog.16010 Publication Date: 2024-07-04T00:05:04Z
ABSTRACT
AbstractBackgroundObesity is known as a risk factor for endometrial cancer (EC). Only a few studies investigate the relationship between sarcopenia and sarcopenic obesity and EC. In this study, our aim was to investigate the relationship between the cross‐sectional imaging‐based body composition parameters and the disease prognosis in low‐grade (LG) and high‐grade (HG) EC.Materials and MethodsWe conducted a retrospective study in women diagnosed with low and high‐grade EC between January 2014 and May 2022 who had abdominal MRI and thorax CT as a part of routine staging workup. We used the skeletal muscle index (SMI) at the level of the third lumbar vertebra to assess sarcopenia on CT. The T2‐weighted sequence at the level of the L2–L3 intervertebral disc is used for visceral fat area (VFA), subcutaneous fat area (SFA), and total fat area (TFA). Two radiologists in consensus, calculated the parameters.ResultsA total of 250 EC patients (144 low‐grade EC, 106 high‐grade EC).Sarcopenia was observed in 122 (48.8%) patients, and sarcopenic obesity was found in 82 (32.8%) patients. Although there was an increase in VFA in cases with high‐grade EC, there was no significant difference in terms of SFA. Additionally, the frequency of sarcopenia and sarcopenic obesity was higher in cases with high‐grade EC. There was no association between sarcopenia and age, histological type, FIGO staging, or comorbidity in the univariate analysis. However, BMI was found to be associated with sarcopenia.ConclusionsQuantitative radiological measurement of sarcopenia, sarcopenic obesity, and body fat composition can be used as novel parameters in the prediction of disease prognosis in endometrial cancer.
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