Predictive Value of Temporal Muscle Thickness Measurements on Cranial Magnetic Resonance Images in the Prognosis of Patients With Primary Glioblastoma.

Predictive Value of Temporal Muscle Thickness Measurements on Cranial Magnetic Resonance Images in the Prognosis of Patients With Primary Glioblastoma.
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颅磁共振图像颞肌厚度测量对原发性胶质母细胞瘤患者预后的预测价值

DOI:
10.3389/fneur.2020.523292
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发表时间:
2020
影响因子:
3.4
通讯作者:
Hu L
Hu L
中科院分区:
医学3区
文献类型:
--
作者:
Liu F;Xing D;Zha Y;Wang L;Dong W;Li L;Gong W;Hu L

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目的:探讨利用脑部三维(3D)MR图像进行TMT对原发性GBM患者预后的预测价值。方法:回顾性分析130例原发性GBM患者的临床资料。在眶顶水平垂直于颞肌长轴的T1 WI MR图像上进行多平面重组(MPR),在轴向平面上测量TMT。轴向MR平面平行于前连合-后连合线。使用Student t检验或Mann-Whitney U检验来确定男性和女性患者之间的TMT和OS是否存在显著差异。采用Pearson相关分析评价GBM诊断年龄与TMT的相关性。根据中位TMT将所有患者分为两组,并使用Kaplan-Meier曲线计算OS曲线。采用考克斯回归模型评价TMT与GBM患者OS的相关性,以及TMT与影响生存时间的其他临床因素的多因素分析。结果:TMT是影响GBM预后的危险因素,其危险比(HR)为0.802(95%CI 0.698-0.922; P = 0.002;考克斯回归模型)。按中位TMT分组,高于中位TMT组的生存时间(15.6个月)显著高于低于中位TMT组(11.2个月)(P < 0.001;对数秩检验)。在使用考克斯回归模型的多变量生存分析中,TMT(HR 0.863; 95% CI 0.748-0.996; P = 0.044),诊断GBM时的年龄(HR 1.042; 95% CI 1.024-1.060; P < 0.001)和同时放化疗(HR 0.510; 95% CI 0.336-0.775; P = 0.002)与生存时间显著相关。结论:TMT作为一个独立的预测因子对原发性GBM患者的生存预后敏感,有可能预测患者的生存时间。
Objective: To investigate the predictive value of prognosis of primary GBM patients using TMT on three-dimensional (3D) MR images of the brain. Methods: Data of 130 patients with primary GBM from the TCGA-GBM database were analyzed retrospectively. TMT was measured on the axial plane by multi-planar reformation (MPR) of T1WI MR images perpendicular to the long axis of the temporal muscle at the level of the orbital roof. The axial MR plane was oriented parallel to the anterior commissure-posterior commissure line. Student's t-test or Mann–Whitney U-test was utilized to determine whether there were significant differences in the TMT and OS between male and female patients. The Pearson correlation analysis was adopted to evaluate the correlation between the age at GBM diagnosis and TMT. All patients were divided into two groups based on their median TMT, and the Kaplan–Meier curve was used to calculate the OS curve. The association between TMT and OS of GBM patients, as well as the multivariate analysis of TMT and other clinical factors affecting the survival time, was evaluated with Cox regression model. Results: TMT was a risk factor for the prognosis of GBM with its hazard ratio (HR) of 0.802 (95% CI 0.698–0.922; P = 0.002; Cox regression model). Grouped by median TMT, the group with above-median TMT demonstrated a significant increase in survival time (15.6 months) compared with the one with below-median TMT (11.2 months) (P < 0.001; log-rank test). In the multivariate survival analysis using a Cox regression model, TMT (HR 0.863; 95% CI 0.748–0.996; P = 0.044), age at the diagnosis of GBM (HR 1.042; 95% CI 1.024–1.060; P < 0.001), and concurrent chemoradiotherapy (HR 0.510; 95% CI 0.336–0.775; P = 0.002) were significantly associated with survival time. Conclusion: TMT as an independent predictor is sensitive to the survival prognosis of primary GBM patients, which has potential to predict the survival time.
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发表时间: 2018-10
影响因子: 3.9
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DOI: 10.1111/joor.12824
发表时间: 2019-10-01
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DOI: 10.1007/s10278-013-9622-7
发表时间: 2013-12-01
影响因子: 4.4
作者:
Clark, Kenneth;Vendt, Bruce;Prior, Fred
通讯作者: Prior, Fred
DOI: 10.1093/neuonc/nou087
发表时间: 2014-07-01
期刊: NEURO-ONCOLOGY
影响因子: 15.9
作者:
Ostrom, Quinn T.;Bauchet, Luc;Barnholtz-Sloan, Jill S.
通讯作者: Barnholtz-Sloan, Jill S.
DOI: 10.2147/cmar.s195869
发表时间: 2019-01-01
影响因子: 3.3
作者:
Portal, D.;Hofstetter, L.;Segal, G.
通讯作者: Segal, G.