Rahman Rifaquat, Hamdan Alhafidz, Zweifler Rebecca, Jiang Han, Norden Andrew D, Reardon David A, Mukundan Srinivasan, Wen Patrick Y, Huang Raymond Y
Harvard Medical School, Boston, MA, USA.
J Neurooncol. 2014 Aug;119(1):149-58. doi: 10.1007/s11060-014-1464-8. Epub 2014 May 8.
While patients with recurrent glioblastoma receiving anti-angiogenic therapy demonstrate significant response rates, the benefit on patient survival is less clear. We assessed whether histogram analysis of diffusion weighted MRI can stratify for progression-free and overall survival. Baseline and 3-6 week post-treatment MRI exams of 91 patients with recurrent glioblastoma treated with bevacizumab were retrospectively evaluated. Histograms of apparent diffusion coefficient (ADC) within the volume of contrast enhancing and nonenhancing T2/FLAIR lesions were analyzed using curve-fit analysis. Overall survival (OS) and progression-free survival (PFS) were assessed using ADC parameters in a Cox proportional hazards model adjusted for clinical variables. Baseline ADC(L)/ADC(M) within nonenhancing T2/FLAIR volume (> or ≤0.64) can stratify OS (HR = 2.24, p = 0.002) and PFS (HR = 1.90, p = 0.005). %ADC(H) within enhancing T1+C volume (> or ≤25 %) can also stratify OS (HR = 0.59, p = 0.034) and PFS (HR = 0.56, p = 0.01). Stratification of patient survival can be improved by merging these two ADC parameters into a single combined ADC factor (HR = 0.17, p < 0.0001). The median OS ratio of patient groups stratified by this combined factor was 2.03, larger than median OS ratio when stratifying by either %ADC(H) within T1+C volume alone (1.3) or ADC(L)/ADC(M) within T2/FLAIR alone (1.86). ADC histogram analysis within both enhancing and nonenhancing components of tumor can be used to stratify for PFS and OS in patients with recurrent glioblastoma.
虽然接受抗血管生成治疗的复发性胶质母细胞瘤患者显示出显著的缓解率,但对患者生存的益处尚不清楚。我们评估了扩散加权磁共振成像(MRI)的直方图分析是否可用于对无进展生存期和总生存期进行分层。对91例接受贝伐单抗治疗的复发性胶质母细胞瘤患者的基线及治疗后3 - 6周的MRI检查进行了回顾性评估。使用曲线拟合分析对对比增强和非增强T2/液体衰减反转恢复(FLAIR)病变体积内的表观扩散系数(ADC)直方图进行分析。在针对临床变量进行调整的Cox比例风险模型中,使用ADC参数评估总生存期(OS)和无进展生存期(PFS)。非增强T2/FLAIR体积内的基线ADC(低)/ADC(中)(>或≤0.64)可对OS(风险比[HR]=2.24,p = 0.002)和PFS(HR = 1.90,p = 0.005)进行分层。增强T1 + C体积内的%ADC(高)(>或≤25%)也可对OS(HR = 0.59,p = 0.034)和PFS(HR = 0.56,p = 0.01)进行分层。将这两个ADC参数合并为一个单一的综合ADC因子可改善患者生存分层(HR = 0.17,p < 0.0001)。按此综合因子分层的患者组的中位OS比值为2.03,大于仅按T1 + C体积内的%ADC(高)分层时的中位OS比值(1.3)或仅按T2/FLAIR内的ADC(低)/ADC(中)分层时的中位OS比值(1.86)。肿瘤增强和非增强成分内的ADC直方图分析可用于对复发性胶质母细胞瘤患者的PFS和OS进行分层。