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Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trial

机译:验证转散MRI表型以预测反复胶质母细胞瘤中Bevacizumab的反应:EORTC-26101试验的HOC分析

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Background. This study validated a previously described diffusion MRI phenotype as a potential predictive imaging biomarker in patients with recurrent glioblastoma receiving bevacizumab (BEV).Methods. A total of 396/596 patients (66%) from the prospective randomized phase II/III EORTC-26101 trial (with n = 242 in the BEV and n = 154 in the non-BEV arm) met the inclusion criteria with availability of anatomical and diffusion MRI sequences at baseline prior treatment. Apparent diffusion coefficient (ADC) histograms from the contrast-enhancing tumor volume were fitted to a double Gaussian distribution and the mean of the lower curve (ADC(low)) was used for further analysis. The predictive ability of ADC(low) was assessed with biomarker threshold models and multivariable Cox regression for overall survival (OS) and progression-free survival (PFS).Results. ADC(low) was associated with PFS (hazard ratio [HR] = 0.625, P = 0.007) and OS (HR = 0.656, P = 0.031). However, no (predictive) interaction between ADC(low) and the treatment arm was present (P = 0.865 for PFS, P = 0.722 for OS). Independent (prognostic) significance of ADC(low) was retained after adjusting for epidemiological, clinical, and molecular characteristics (P = 0.02 for OS, P = 0.01 PFS). The biomarker threshold model revealed an optimal ADC(low) cutoff of 1241*10-6 mm(2)/s for OS. Thereby, median OS for BEV- patients with ADC(low) = 1241 was 10.39 months versus 8.09 months for those with ADC(low) 1241 (P = 0.004). Similarly, median OS for non-BEV patients with ADC(low) = 1241 was 9.80 months versus 7.79 months for those with ADC(low) 1241 (P = 0.054).Conclusions. ADC(low) is an independent prognostic parameter for stratifying OS and PFS in patients with recurrent glioblastoma. Consequently, the previously suggested role of ADC(low) as predictive imaging biomarker could not be confirmed within this phase II/III trial.
机译:背景。该研究验证了先前描述的扩散MRI表型作为患者接受Bevacizumab(BEV)的患者患者的潜在预测成像生物标志物.Methods。来自前瞻性随机期II / III EORTC-26101试验的共有396/596名患者(66%)(在非BEV ARM中的BEV和N = 154中,N = 242)符合解剖学的可用性纳入标准基线先前治疗的扩散MRI序列。从对比增强肿瘤体积的表观扩散系数(ADC)直方图适用于双高斯分布,并且较低曲线的平均值(ADC(低))用于进一步分析。 ADC(低)的预测能力通过生物标志物阈值模型和用于整体存活(OS)和无进展生存(PFS)的多变量COX回归进行评估。 ADC(低)与PFS(危险比[HR] = 0.625,P = 0.007)和OS(HR = 0.656,P = 0.031)相关。然而,ADC(低)和治疗臂之间的(预测)相互作用存在(PFS的P = 0.865,OS的P = 0.722)。在调整流行病学,临床和分子特征后,保留了ADC(低)的独立(预后)意义(对于OS的P <= 0.02,P <= 0.01pfs)。生物标志物阈值模型揭示了OS的最佳ADC(低)截止值1241×10-6mm(2)/ s。由此,具有ADC(低)> = 1241患者的BEV患者的中位OS为10.39个月,抗ADC(低)<1241(P = 0.004)。类似地,用于ADC(低)> = 1241患者的非BEV患者的中位OS为9.80个月,与ADC(低)<1241(P = 0.054).Conclusions。 ADC(低)是用于复发性胶质母细胞瘤患者的分层OS和PFS的独立预后参数。因此,在该II / III试验中无法确认ADC(低)作为预测成像生物标志物的先前建议的作用。

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  • 来源
    《Neuro-Oncology》 |2020年第11期|1667-1676|共10页
  • 作者单位

    Heidelberg Univ Hosp Dept Neuroradiol Heidelberg Germany|Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

    Heidelberg Univ Hosp Dept Neuroradiol Heidelberg Germany|Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

    Heidelberg Univ Hosp Dept Neuroradiol Heidelberg Germany|Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

    German Canc Res Ctr Med Image Comp Heidelberg Germany;

    Heidelberg Univ Hosp Dept Neuroradiol Heidelberg Germany|German Canc Res Ctr Med Image Comp Heidelberg Germany|Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

    Heidelberg Univ Hosp Dept Neuroradiol Heidelberg Germany|Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

    Heidelberg Univ Hosp Neurol Clin Heidelberg Germany|German Canc Res Ctr Clin Cooperat Unit Neurooncol Heidelberg Germany;

    Heidelberg Univ Hosp Inst Pathol Dept Neuropathol Heidelberg Germany|German Canc Res Ctr Clin Cooperat Unit Neuropathol Heidelberg Germany;

    Heidelberg Univ Hosp Neurol Clin Heidelberg Germany;

    Heidelberg Univ Hosp Neurol Clin Heidelberg Germany|German Canc Res Ctr Clin Cooperat Unit Neuropathol Heidelberg Germany|Med Univ Dept Neurol Innsbruck Austria;

    Heidelberg Univ Hosp Dept Neuroradiol Heidelberg Germany|Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

    Univ Hosp Dept Neurol Zurich Switzerland|Univ Zurich Zurich Switzerland;

    Heidelberg Univ Mannheim Med Ctr Dept Neurol Mannheim Germany;

    German Canc Res Ctr Med Image Comp Heidelberg Germany|Heidelberg Univ Mannheim Med Ctr Dept Neurol Mannheim Germany;

    Heidelberg Univ Hosp Inst Pathol Dept Neuropathol Heidelberg Germany|German Canc Res Ctr Clin Cooperat Unit Neuropathol Heidelberg Germany;

    Erasmus MC Canc Inst Brain Tumor Ctr Rotterdam Netherlands;

    European Org Res Treatment Canc Brussels Belgium;

    Heidelberg Univ Hosp Neurol Clin Heidelberg Germany|German Canc Res Ctr Clin Cooperat Unit Neurooncol Heidelberg Germany|German Canc Res Ctr Clin Cooperat Unit Neuropathol Heidelberg Germany;

    Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

    Heidelberg Univ Hosp Dept Neuroradiol Heidelberg Germany|Heidelberg Univ Hosp Dept Neuroradiol Sect Computat Neuroimaging Neuenheimer Feld 400 D-69120 Heidelberg Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ADC; bevacizumab; histogram analysis; recurrent glioblastoma; prognostic vs predictive;

    机译:adc;bevacizumab;直方图分析;复发胶质母细胞瘤;预测与预测性;
  • 入库时间 2022-08-18 22:54:36

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