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利用新型混合治愈模型对质子治疗中的脑坏死进行容积和保险统计分析。

Volumetric and actuarial analysis of brain necrosis in proton therapy using a novel mixture cure model.

机构信息

Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, and German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

出版信息

Radiother Oncol. 2020 Jan;142:154-161. doi: 10.1016/j.radonc.2019.09.008. Epub 2019 Sep 25.

Abstract

BACKGROUND AND PURPOSE

High-dose fractionated radiotherapy is often necessary to achieve long-term tumor control in several types of tumors involving or within close proximity to the brain. There is limited data to guide on optimal constraints to the adjacent nontarget brain. This investigation explored the significance of the three-dimensional (3D) dose distribution of passive scattering proton therapy to the brain with other clinicopathological factors on the development of symptomatic radiation necrosis.

MATERIALS AND METHODS

All patients with head and neck, skull base, or intracranial tumors who underwent proton therapy (minimum prescription dose of 59.4 Gy(RBE)) with collateral moderate to high dose radiation exposure to the nontarget brain were retrospectively reviewed. A mixture cure model with respect to necrosis-free survival was used to derive estimates for the normal tissue complication probability (NTCP) model while adjusting for potential confounding factors.

RESULTS

Of 179 identified patients, 83 patients had intracranial tumors and 96 patients had primary extracranial tumors. The optimal dose measure obtained to describe the occurrence of radiation necrosis was the equivalent uniform dose (EUD) with parameter a = 9. The best-fit parameters of logistic NTCP models revealed D = 57.7 Gy for intracranial tumors, D = 39.5 Gy for extracranial tumors, and γ = 2.5 for both tumor locations. Multivariable analysis revealed EUD and primary tumor location to be the strongest predictors of brain radiation necrosis.

CONCLUSION

In the current clinical volumetric data analyses with multivariable modelling, EUD was identified as an independent and strong predictor for brain radiation necrosis from proton therapy.

摘要

背景与目的

在涉及或紧邻大脑的几种肿瘤中,为了实现长期肿瘤控制,通常需要高剂量分割放疗。关于最佳约束毗邻非靶脑的最佳限制,数据有限。本研究探讨了被动散射质子治疗对脑的三维(3D)剂量分布与其他临床病理因素对症状性放射性坏死发展的意义。

材料与方法

回顾性分析了所有接受质子治疗(最小处方剂量 59.4Gy[RBE])且脑非靶区存在中高剂量放射性暴露的头颈部、颅底或颅内肿瘤患者。针对无坏死生存的混合治愈率模型用于推导出 NTCP 模型的估计值,同时调整潜在的混杂因素。

结果

在 179 名患者中,83 名患者颅内肿瘤,96 名患者为原发性颅外肿瘤。描述放射性坏死发生的最佳剂量测量值是等效均匀剂量(EUD),参数 a=9。逻辑 NTCP 模型的最佳拟合参数显示,颅内肿瘤的 D=57.7Gy,颅外肿瘤的 D=39.5Gy,两种肿瘤部位的γ=2.5。多变量分析显示 EUD 和原发肿瘤部位是脑放射性坏死的最强预测因素。

结论

在目前的临床容积数据分析中,多变量建模显示 EUD 是质子治疗后脑放射性坏死的独立且强预测因素。

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