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Diffusion-Weighted MRI as a Biomarker of Tumor Radiation Treatment Response Heterogeneity: A Comparative Study of Whole-Volume Histogram Analysis versus Voxel-Based Functional Diffusion Map Analysis

机译:弥散加权MRI作为肿瘤放射治疗反应异质性的生物标记:基于体积直方图分析的对比研究对比基于体素的功能性扩散图分析

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RATIONALE:Treatment of glioblastoma (GBM) remains challenging due in part to its histologic intratumoral heterogeneity that contributes to its overall poor treatment response. Our goal was to evaluate a voxel-based biomarker, the functional diffusion map (fDM), as an imaging biomarker to detect heterogeneity of tumor response in a radiation dose escalation protocol using a genetically engineered murine GBM model.EXPERIMENTAL DESIGN:Twenty-four genetically engineered murine GBM models [Ink4a-Arf-/-/Ptenloxp/loxp/Ntv-a RCAS/PDGF(+)/Cre(+)] were randomized in four treatment groups (n= 6 per group) consisting of daily doses of 0, 1, 2, and 4 Gy delivered for 5 days. Contrast-enhanced T1-weighted and diffusion-weighted magnetic resonance imaging (MRI) scans were acquired for tumor delineation and quantification of apparent diffusion coefficient (ADC) maps, respectively. MRI experiments were performed daily for a week and every 2 days thereafter. For each animal, the area under the curve (AUC) of the percentage change of the ADC (AUCADC) and that of the increase in fDM values (AUCfDM+) were determined within the first 5 days following therapy initiation.RESULTS:Animal survival increased with increasing radiation dose. Treatment induced a dose-dependent increase in tumor ADC values. The strongest correlation between survival and ADC measurements was observed using the AUCfDM+metric (R2= 0.88).CONCLUSION:This study showed that the efficacy of a voxel-based imaging biomarker (fDM) was able to detect spatially varying changes in tumors, which were determined to be a more sensitive predictor of overall responseversuswhole-volume tumor measurements (AUCADC). Finally, fDM provided for visualization of treatment-associated spatial heterogeneity within the tumor.
机译:理由:胶质母细胞瘤(GBM)的治疗仍然具有挑战性,部分原因是其组织学上的肿瘤内异质性导致整体治疗反应较差。我们的目标是使用基因工程鼠类GBM模型评估基于体素的生物标记物功能扩散图(fDM)作为成像生物标记物,以检测辐射剂量递增方案中肿瘤反应的异质性。实验设计:二十四个基因工程鼠GBM模型[Ink4a-Arf-/-/ Ptenloxp / loxp / Ntv-a RCAS / PDGF(+)/ Cre(+)]随机分为四个治疗组(每组n = 6),每日剂量为0 ,1、2和4 Gy交付了5天。分别获取对比增强的T1加权和弥散加权磁共振成像(MRI)扫描,以描绘肿瘤并量化表观弥散系数(ADC)图。每天进行MRI实验,持续一周,此后每2天进行一次。对于每只动物,在治疗开始后的前5天内确定ADC的百分比变化的曲线下面积(AUCADC)和fDM值增加的曲线下面积(AUCfDM +)。增加辐射剂量。治疗引起肿瘤ADC值的剂量依赖性增加。使用AUCfDM + metric(R2 = 0.88)观察到生存率与ADC测量之间的最强相关性。结论:这项研究表明,基于体素的成像生物标记物(fDM)的功效能够检测肿瘤的空间变化,从而被确定为整体反应与整个体积肿瘤测量(AUCADC)的更敏感的预测指标。最后,fDM提供了可视化的肿瘤内与治疗相关的空间异质性。

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