CT放射组学鉴别活性骨髓:一项探索性研究

S. Rosati, G. Balestra, P. Franco, C. Fiandra, F. Arcadipane, P. Silvetti, U. Ricardi, E. Gallio
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引用次数: 1

摘要

骨盆骨髓(BM)放射剂量是肛门癌治疗中血液毒性(HT)发生的预测因素。因此,在放疗期间避免基底膜炎是很重要的。特别是,在这些情况下的标准策略包括在18FDG-PET, FLT-PET或MRI上识别造血活性BM (actBM),即负责血细胞生成的BM部分,但尚未开发出从CT图像中识别actBM的方法。本探索性研究旨在利用放射组学检测CT序列上的actBM。我们的方法是基于对每个CT切片提取36个一阶和纹理(二阶)特征。这些特征被用作决策树(DT)分类器的输入,该分类器能够区分图像上的活动和非活动BM区域。将该方法应用于5例肛管癌患者,并与18FDG-PET(参考标准,RS)的标准actBM鉴定结果进行比较。我们的研究结果显示,放射组学在腰骶和髂结构中鉴定的actBM与RS重叠的比例超过75%,其中5名患者中有4名。
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Radiomics for Identification of Active Bone Marrow from CT: An Exploratory Study
The radiation dose received by the pelvic Bone Marrow (BM) is a predictive factor for Hematologic Toxicity (HT) occurrence in the treatment of anal cancer. For this reason it is important to avoid BM during radiotherapy. In particular, the standard strategy in these cases consists in the identification of hematopoietically active BM (actBM), i.e. the part of BM in charge of blood cells generation, on 18FDG-PET, FLT-PET or MRI, but no approached have been developed for identifying actBM from CT images. This exploratory study aims to use radiomics for detecting actBM on CT sequences. Our approach is based on the extraction of 36 first-order and texture (second-order) features for each CT slice. These features are used as input of a Decision Tree (DT) classifier able to discriminate between active and inactive BM regions on the images. This method was applied to five patients affected by carcinoma of the anal canal and the obtained actBM segmentation was compared with the standard actBM identification from 18FDG-PET (reference standard, RS). Our results show that actBM identification in lumbosacral and iliac structures using radiomics overlaps the RS for more than 75% in 4 out of 5 patients.
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