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STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI

机译:结构性直肠图谱变形(StRAD)功能可表征MRI的壁内和周壁化学放射反应

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Radiomic features which quantify morphologic texture and shape of tumor regions on imaging have found wide success in characterizing treatment response in vivo. A more detailed interrogation of intra-and peri-tumoral regions for response-related cues could be achieved by capturing subtle structural deformations that occur due to tumor shrinkage or growth. In this work, we present a novel suite of STructural Rectal Atlas Deformation (StRAD) features to quantify tumor-related deformations in rectal cancers via a cohort of 139 patient MRIs. In flexible non-rigid organs such as the rectum, inter-patient differences complicate evaluation of tumor-related deformations that may occur within the rectal wall or in the peri-rectal environment; necessitating construction of a canonical rectal imaging atlas. Using 63 pelvic MRIs where healthy rectums could be clearly visualized, we built the first structural atlas for the healthy rectal wall. This atlas was used to compute structural deformations within and around locations in the rectal wall of patients where tumor was present, resulting in intra- and peri-wall StRAD descriptors. We evaluated the efficacy of our StRAD features in 2 different tasks: (a) predicting which rectal tumors will or will not respond to therapy via baseline MRIs (n = 42), and (b) identifying which rectal tumors were exhibiting regression on post-chemoradiation MRIs (n = 34). Using a linear discriminant analysis classifier in a three-fold cross-validation scheme, we found that intra-wall deformations were significantly lower for responders to chemoradiation; both on baseline MRIs (AUC = 0.73±0.05) as well as on post-therapy MRIs (AUC = 0.87±0.03). By comparison, radiomic texture features for both intra- and peri-wall locations yielded significantly worse classification performance in both tasks.
机译:在成像中量化肿瘤区域的形态纹理和形状的放射学特征已在表征体内治疗反应方面获得了广泛的成功。通过捕获由于肿瘤缩小或生长而引起的细微结构变形,可以实现对与响应有关的线索的肿瘤内和肿瘤周围区域的更详细的询问。在这项工作中,我们提出了一套新颖的结构性直肠地图集变形(StRAD)功能,以通过一组139名患者MRI来量化直肠癌中与肿瘤相关的变形。在诸如直肠等柔性非刚性器官中,患者之间的差异使可能在直肠壁内或直肠周围环境中发生的与肿瘤相关的变形的评估变得复杂。需要构建规范的直肠成像图谱。我们使用63个可以清晰显示健康直肠的骨盆MRI,我们为健康的直肠壁建立了第一个结构图集。该图集用于计算存在肿瘤的患者直肠壁内及其周围结构的结构变形,从而产生壁内和壁间StRAD描述子。我们评估了StRAD功能在2个不同任务中的功效:(a)通过基线MRI预测哪些直肠肿瘤将对治疗产生反应或将不产生反应(n = 42),以及(b)确定哪些直肠肿瘤在术后后表现出消退化学放射核磁共振成像(n = 34)。在三重交叉验证方案中使用线性判别分析分类器,我们发现对于化学辐射的响应者,壁内变形显着降低。基线MRI(AUC = 0.73±0.05)以及治疗后MRI(AUC = 0.87±0.03)均如此。相比之下,内墙和墙外位置的放射线纹理特征在这两个任务中均产生明显较差的分类性能。

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