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Is temporal muscle thickness a survival predictor in newly diagnosed glioblastoma multiforme?
Author(s) -
Yesil Cinkir Havva,
Colakoglu Er Hale
Publication year - 2020
Publication title -
asia‐pacific journal of clinical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 29
eISSN - 1743-7563
pISSN - 1743-7555
DOI - 10.1111/ajco.13369
Subject(s) - medicine , proportional hazards model , glioblastoma , hazard ratio , magnetic resonance imaging , survival analysis , log rank test , sarcopenia , gastroenterology , oncology , nuclear medicine , surgery , confidence interval , radiology , cancer research
Aim Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in adults. In this study, we aimed to show the relationship between temporal muscle thickness (TMT) measurement and survival in newly diagnosed patients with GBM. Methods Forty‐seven patients with newly diagnosed GBM were evaluated, retrospectively. TMT at diagnosis of GBM before any surgical procedure was measured on the contrast‐enhanced axial longitudinal relaxation time (T1)‐weighted magnetic resonance images. Overall survival (OS) was analyzed by the Kaplan‐Meier method and log‐rank test was used to determine the differences between the groups. The median TMT was used to determine the cutoff point. Results The median TMT was 4.7 mm (range, 2.8‐6.6) in females and 5.4 mm (range, 2.9‐8.1) in males. Median survival for TMT < 4.9 mm was 12.9 ± 3.5 (95% CI, 6.0‐19.8) months, and 39.4 ± 11.9 (95% CI, 16.0‐62.8) months for TMT ≥ 4.9 ( P = .023). In the multivariate Cox regression model, the TMT group (Hazard ratio [HR] = 2.07, 95% CI, 0.92‐4.61, P = .032) and age group (HR = 2.18, 95% CI, 1.01‐4.67, P = .014) showed statistically significant difference. Conclusion TMT is not an independent predictor of response but a predictor of sarcopenia and survival in newly diagnosed GBM. TMT measurement is an easy and practical method. Survival prediction will provide useful information in GBM patients having poor prognosis.