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首页> 外文会议>SPIE Medical Imaging Conference >Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation
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Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation

机译：MRI对百发症的辐射脂肪表征能够在放疗后直肠癌中的肿瘤回归和淋巴结转移的准确评估

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Evaluating tumor regression of rectal cancers via MRI after standard-of-care chemoradiation therapy (CRT)remains highly challenging for radiologists. While the tumor region-of-interest (ROI) on post-CRT rectal MRI isdifficult to localize, an underexplored region is the perirectal fat (surrounding tumor and rectum) where residualcancer cells and positive lymph nodes are known to be present. Recent studies have shown that physiologicenvironments surrounding tumor regions may provide complementary information that is predictive of response toCRT and patient survival. We present initial results of characterizing perirectal fat regions on MRI via radiomics,towards capturing sub-visual details related to rectal tumor or nodal response to CRT. A total of 37 rectal cancerpatients for whom MRIs as well as pathologic tumor staging were available post-CRT were included in this study.Region-wise radiomic features were extracted from expert annotated perirectal fat regions and a 2-stage featureselection was employed to identify the most relevant features. Radiomic entropy of perirectal fat was found to beover-expressed in patients with poor tumor or nodal response post-CRT, albeit with different spatial distributions.In a leave-one-patient-out cross validation setting, a quadratic discriminant analysis (QDA) classifier trained ontop radiomic features from the perirectal fat achieved AUCs of 0.77 (for differentiating incomplete vs markedtumor regression) and 0.75 (for differentiating lymph node positive from negative patients). By comparison,perirectal fat intensities achieved significantly poorer AUCs in both tasks. Our results indicate perirectal faton post-CRT MRI may be highly relevant for evaluating CRT response and informing follow-on interventions inrectal cancers.
机译：通过MRI在护理标准化学地理治疗（CRT）后通过MRI评估直肠癌的肿瘤消退对放射科医师仍然非常具有挑战性。而在CRT直肠MRI上的肿瘤地区的兴趣区（ROI）是难以定位，一个偏远的地区是残留的百发症脂肪（周围肿瘤和直肠）已知存在癌细胞和阳性淋巴结。最近的研究表明，生理围绕肿瘤区域的环境可以提供预测对响应的互补信息CRT和患者生存。我们通过射频对MRI进行河流脂肪区的初始结果，朝向捕获与直肠肿瘤或节点反应相关的子视觉细节对CRT。共37个直肠癌患有MRIS的患者以及病理肿瘤分期的患者在本研究中纳入CRT。从专家注释的横向脂肪区和2级特征中提取区域明智的射出特征采用选择来识别最相关的特征。发现横向脂肪的辐射瘤熵在肿瘤差或节点响应后患者的患者过度表达，尽管具有不同的空间分布。在休假患者交叉验证设置中，训练的二次判别分析（QDA）分类器来自百系略脂肪的顶部射出物特征达到0.77的AUC（用于区分不完整的VS标记肿瘤回归）和0.75（用于将淋巴结从阴性患者分化阳性）。通过比较，两项任务中的横向脂肪强度达到较差的AUC。我们的结果表明河北脂肪在CRT后，MRI可能对评估CRT响应和通知后续干预措施非常重要直肠癌。

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