Temporal muscle thickness is an independent prognostic marker in melanoma patients with newly diagnosed brain metastases.

Temporal muscle thickness is an independent prognostic marker in melanoma patients with newly diagnosed brain metastases.
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DOI:
10.1007/s11060-018-2948-8
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发表时间:
2018-10
影响因子:
3.9
通讯作者:
Preusser M
Preusser M
中科院分区:
医学2区
文献类型:
--
作者:
Furtner J;Berghoff AS;Schöpf V;Reumann R;Pascher B;Woitek R;Asenbaum U;Pelster S;Leitner J;Widhalm G;Gatterbauer B;Dieckmann K;Höller C;Prayer D;Preusser M

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本研究的目的是评估颞肌厚度(TMT)在新诊断的脑转移瘤黑色素瘤患者的预后相关性。回顾性评估了146例在头颅磁共振成像上新诊断为脑转移瘤的黑色素瘤患者的TMT。图表审查用于检索临床参数,包括疾病特异性分级预后评估(DS-GPA)和生存时间。与TMT <中位数的患者(5个月; p < 0.001; log rank检验)相比,TMT >中位数的患者的生存时间(13个月)在统计学上显着增加。考克斯回归模型显示,TMT每减少一毫米,死亡风险增加27.9%。在多变量分析中,TMT(HR 0.724; 95%CI 0.642-0.816; < 0.001)和DS-GPA(HR 1.214; 95%CI 1.023-1.439; p = 0.026)显示与总生存期具有统计学显著相关性。TMT是黑色素瘤脑转移患者生存的独立预测因子。该参数可帮助临床试验的患者选择或根据虚弱患者人群的确定选择不同的治疗方案。
The purpose of this study was to evaluate the prognostic relevance of temporal muscle thickness (TMT) in melanoma patients with newly diagnosed brain metastases. TMT was retrospectively assessed in 146 melanoma patients with newly diagnosed brain metastases on cranial magnetic resonance images. Chart review was used to retrieve clinical parameters, including disease-specific graded prognostic assessment (DS-GPA) and survival times. Patients with a TMT > median showed a statistically significant increase in survival time (13 months) compared to patients with a TMT < median (5 months; p < 0.001; log rank test). A Cox regression model revealed that the risk of death was increased by 27.9% with every millimeter reduction in TMT. In the multivariate analysis, TMT (HR 0.724; 95% 0.642–0.816; < 0.001) and DS-GPA (HR 1.214; 95% CI 1.023–1.439; p = 0.026) showed a statistically significant correlation with overall survival. TMT is an independent predictor of survival in melanoma patients with brain metastases. This parameter may aid in patient selection for clinical trials or to the choice of different treatment options based on the determination of frail patient populations.
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