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Functional diffusion maps (fDMs) evaluated before and after radiochemotherapy predict progression-free and overall survival in newly diagnosed glioblastoma

机译:放化疗前后评估的功能扩散图(fDM)预测新诊断的胶质母细胞瘤的无进展生存期和总生存期

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摘要

Functional diffusion mapping (fDM) has shown promise as a sensitive imaging biomarker for predicting survival in initial studies consisting of a small number of patients, mixed tumor grades, and before routine use of anti-angiogenic therapy. The current study tested whether fDM performed before and after radiochemotherapy could predict progression-free and overall survival in 143 patients with newly diagnosed glioblastoma from 2007 through 2010, many treated with anti-angiogenic therapy after recurrence. Diffusion and conventional MRI scans were obtained before and 4 weeks after completion of radiotherapy and concurrent temozolomide treatment. FDM was created by coregistering pre- and posttreatment apparent diffusion coefficient (ADC) maps and then performing voxel-wise subtraction. FDMs were categorized according to the degree of change in ADC in pre- and posttreatment fluid-attenuated inversion recovery (FLAIR) and contrast-enhancing regions. The volume fraction of fDM-classified increasing ADC(+), decreasing ADC(−), and change in ADC(+/−) were tested to determine whether they were predictive of survival. Both Bonferroni-corrected univariate log-rank analysis and Cox proportional hazards modeling demonstrated that patients with decreasing ADC in a large volume fraction of pretreatment FLAIR or contrast-enhancing regions were statistically more likely to progress earlier and expire sooner than in patients with a lower volume fraction. The current study supports the hypothesis that fDM is a sensitive imaging biomarker for predicting survival in glioblastoma.
机译:功能扩散图谱(fDM)已显示出有望作为预测包括少数患者,混合肿瘤等级以及常规使用抗血管生成疗法的初始研究中存活率的敏感成像生物标志物。目前的研究测试了在放化疗前后进行的fDM是否可以预测143位新诊断的胶质母细胞瘤从2007年至2010年的无进展生存率和总体生存率,其中许多患者在复发后接受了抗血管生成治疗。在放疗和替莫唑胺同时治疗之前和之后4周进行扩散和常规MRI扫描。通过共配准治疗前后的表观扩散系数(ADC)映射,然后执行体素方式减法来创建FDM。根据DMD在治疗前和治疗后液体衰减反转恢复(FLAIR)和造影剂增强区域中的变化程度对FDM进行分类。测试了fDM分类的增加ADC(+),减少ADC(-)和ADC(+/-)的体积分数,以确定它们是否可预测生存。 Bonferroni校正的单变量对数秩分析和Cox比例风险模型均表明,在较大量的治疗前FLAIR或造影剂增强区域中ADC降低的患者与较低体积的患者相比,统计学上更可能更早进展并更快死亡分数。当前的研究支持以下假设:fDM是预测胶质母细胞瘤生存的敏感成像生物标记。

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