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P04.24 Apparent diffusion coefficient histogram analysis in recurrent glioblastoma predicts overall survival after the first course of bevacizumab and lomustine

机译:P04.24复发性胶质母细胞瘤的表观弥散系数直方图分析可预测贝伐单抗和洛莫斯汀的第一个疗程后的总体存活率

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摘要

PURPOSE: Early prediction of response to bevacizumab based on imaging parameters is important but difficult. We investigated the value of Apparent Diffusion Coefficient (ADC) histogram analysis to predict overall survival (OS) after the first course of bevacizumab in patients with recurrent glioblastoma. METHODS: Patients were recruited from the multicenter Dutch BELOB trial (n=148), in which patients had been randomized into 3 treatment arms: bevacizumab-only, lomustine-only, or both. Volumes of interest (VOIs) of enhancing and non-enhancing tumor were drawn on resp. T1w post-contrast and T2w-FLAIR 3D images. ADC maps were derived from diffusion weighted images (DWI) scanned with b=0 and b=1000 s/mm2 (slice thickness 3mm, in-plane resolution 2mm). Registration of ADC-maps, VOIs and FLAIR images to the T1w post-contrast images was performed with custom scripts in Matlab using Elastix. Unimodal ADC-histogram parameters were extracted from the enhancing and non-enhancing VOIs. In case of multiple lesions in a single patient, VOIs were combined. VOIs <0.200 cm3 were excluded from analysis. Exploratory analysis of histogram parameters showed that change in minimum ADC from baseline to first follow-up (i.e. 6 weeks) was the most promising parameter. Patients were dichotomized using multiple cut-offs of percentage change (decrease) in minimum ADC and differences in OS were calculated from the first follow-up until death from any cause. Analyses were performed for all patients together, for both bevacizumab-treatment arms together, and for all treatment arms separately. RESULTS: Data from 118 patients was considered for analysis, consisting of 108 enhancing and 99 non-enhancing lesions. In enhancing lesions of all treatment arms together, decrease of minimum ADC using a cut-off value between 20 and 30% was associated with significantly better OS. The lowest HR was found with 27.5% (HR= .572; 95% CI .382-.858). When looking at both bevacizumab-treated arms, significantly better OS was associated with a decrease in minimum ADC using a cut-off value between 10 and 30%. The lowest HR was found with 27.5% (HR= .452; .272-.751). These findings appeared to be driven by the bevacizumab plus lomustine treatment arm, with significantly better OS in those with a decrease of minimum ADC using a cut-off value between 5 and 27.5%. The lowest HR was found with 27.5% (HR= .287; 95% CI .137-.603). The bevacizumab-only and lomustine-only treated patients did not show better OS in associated with a decrease of minimum ADC. No significant associations were found for the non-enhancing lesions. CONCLUSION: Enhancing lesions in patients with recurrent glioblastoma treated with bevacizumab and lomustine that show a decrease in minimum ADC of at least 5% have a significantly better OS than those without.
机译:目的:根据影像学参数对贝伐单抗的早期预测很重要,但很困难。我们研究了表观扩散系数(ADC)直方图分析的价值,以预测贝伐单抗治疗复发性胶质母细胞瘤患者第一疗程后的总生存期(OS)。方法:从多中心荷兰BELOB试验(n = 148)招募患者,其中患者被随机分为3个治疗组:仅贝伐单抗,仅洛莫司汀或两者。分别绘制增强和非增强肿瘤的目标体积(VOI)。 T1w对比度和T2w-FLAIR 3D图像。 ADC图是从以b = 0和b = 1000 s / mm 2 (切片厚度3mm,面内分辨率2mm)扫描的扩散加权图像(DWI)得出的。使用Elastix在Matlab中使用自定义脚本将ADC映射,VOI和FLAIR图像注册到T1w对比度后图像。从增强型和非增强型VOI中提取单峰ADC直方图参数。如果单个患者发生多个病变,则合并VOI。分析中不包括<0.200 cm 3 的VOI。对直方图参数的探索性分析表明,从基线到首次随访(即6周)的最小ADC变化是最有希望的参数。使用最低ADC的百分比变化(减少)的多个临界值将患者分为两部分,并从首次随访直至因任何原因死亡而计算OS差异。同时对所有患者,贝伐单抗治疗组以及所有治疗组分别进行了分析。结果:考虑了118例患者的数据进行分析,包括108例增强病灶和99例非增强病灶。在共同增强所有治疗组的损伤时,使用20%到30%之间的临界值降低最小ADC可以显着改善OS。发现最低的HR为27.5%(HR = .572; 95%CI .382-.858)。当观察贝伐单抗治疗的两个臂时,使用10%到30%之间的临界值,明显更好的OS与最小ADC的降低相关。发现最低的HR为27.5%(HR = .452; .272-.751)。这些发现似乎是由贝伐单抗加洛莫司汀治疗组驱动的,在最小ADC降低且临界值介于5至27.5%之间的患者中,OS显着改善。发现最低的HR为27.5%(HR = .287; 95%CI .137-.603)。仅贝伐单抗和仅接受洛莫司汀治疗的患者并未显示出与最低ADC降低相关的更好的OS。没有发现非增强病变的显着关联。结论:用贝伐单抗和洛莫司汀治疗的复发性胶质母细胞瘤患者的病灶增强,其最低ADC至少降低了5%,其OS显着优于未治疗的胶质母细胞瘤。

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