Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma

Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma
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肿瘤内 18F-FDG PET 摄取异质性定量对食管癌治疗反应预测的稳健性

DOI:
10.1007/s00259-013-2486-8
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发表时间:
2013-10-01
影响因子:
9.1
通讯作者:
Visvikis, Dimitris
Visvikis, Dimitris
中科院分区:
医学1区
文献类型:
--
作者:
Hatt, Mathieu;Tixier, Florent;Visvikis, Dimitris

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已经在几项研究中研究了根据对治疗反应的纹理特征量化的PET中的肿瘤内摄取异质性,包括评估其重建和生理再现性的稳健性。然而,尚未对预处理步骤对所得定量及其预测值的潜在影响进行全面评估。这项工作的目的是评估的稳健性PET异质性的纹理特征描绘的功能体积和部分容积校正(PVC)。这项回顾性分析包括50例食管癌患者。对每个PET图像进行PVC。采用固定阈值和自适应阈值,以及模糊局部自适应贝叶斯算法确定肿瘤体积,并使用局部和区域纹理特征量化异质性。使用Bland-Altman分析评估所考虑的图像衍生参数绝对值的差异。通过比较受试者工作特征曲线下面积,评估其对识别患者无应答者的预测价值的影响。对划界和PVC最敏感的参数是区域性参数(强度变异性和大小区变异性),而熵和均匀性等局部参数则最稳健。尽管从不同的划定方法或PVC后获得的绝对值有很大的差异,这些差异并不一定转化为显着影响其预测值,参数,如熵,同质性,相异度(局部非均质性表征)和带百分比(区域表征)应首选。这一选择是基于在预测响应方面表现出的高分化能力,以及所用描绘方法和部分容积效应的显著稳健性。
Intratumour uptake heterogeneity in PET quantified in terms of textural features for response to therapy has been investigated in several studies, including assessment of their robustness for reconstruction and physiological reproducibility. However, there has been no thorough assessment of the potential impact of preprocessing steps on the resulting quantification and its predictive value. The goal of this work was to assess the robustness of PET heterogeneity in textural features for delineation of functional volumes and partial volume correction (PVC).This retrospective analysis included 50 patients with oesophageal cancer. PVC of each PET image was performed. Tumour volumes were determined using fixed and adaptive thresholding, and the fuzzy locally adaptive Bayesian algorithm, and heterogeneity was quantified using local and regional textural features. Differences in the absolute values of the image-derived parameters considered were assessed using Bland-Altman analysis. The impact on their predictive value for the identification of patient nonresponders was assessed by comparing areas under the receiver operating characteristic curves.Heterogeneity parameters were more dependent on delineation than on PVC. The parameters most sensitive to delineation and PVC were regional ones (intensity variability and size zone variability), whereas local parameters such as entropy and homogeneity were the most robust. Despite the large differences in absolute values obtained from different delineation methods or after PVC, these differences did not necessarily translate into a significant impact on their predictive value.Parameters such as entropy, homogeneity, dissimilarity (for local heterogeneity characterization) and zone percentage (for regional characterization) should be preferred. This selection is based on a demonstrated high differentiation power in terms of predicting response, as well as a significant robustness with respect to the delineation method used and the partial volume effects.