克罗恩病的放射组学模型可检测肠道克罗恩病的炎症活动

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引用次数: 0

摘要

目的 研究基于计算机断层扫描肠造影(CTE)的放射组学模型(RM)在检测肠克罗恩病(CD)患者活动性炎症方面的诊断价值。根据组织病理学将患者分为非轻度和中重度活动组。其中,84 例随机分为训练组(43 例阳性,41 例阴性,比例为 8:2),21 例分为实验组(11 例阳性,10 例阴性)。使用 ITK-Snap 手动划定静脉相 CTE 图像上的所有病变区域,提取特征,并使用 DARWIN 软件降低特征维度。使用 eXtreme Gradient Boosting (XGBOOST) 建立二元 RM 来评估测试集,并计算灵敏度、特异性和曲线下面积(AUC)。结果在训练集中,RM 区分非轻度和中重度活动的 AUC 为 0.93,灵敏度为 90.2%,特异度为 83.7%。在验证集中,AUC 为 0.86,灵敏度为 90%,特异度为 81.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Radiomics model of CTE can detect inflammatory activity in intestinal Crohn's disease

Objectives

To investigate the diagnostic value of a computed tomography enterography (CTE)-based radiomics model (RM) in the detection of active inflamXGmation in patients with intestinal Crohn's disease (CD).

Methods

CTE images and clinical data of 105 patients with pathologically diagnosed intestinal CD were retrospectively analyzed. Patients were divided into non-mild and moderate-severe activity groups based on histopathology. Among them, 84 cases were randomly divided into the training group (43 positive and 41 negative in an 8:2 ratio) and 21 into the experimental group (11 positive and 10 negative). All lesion areas on the venous-phase CTE image were delineated manually using ITK-Snap, features were extracted, and DARWIN software was used to reduce feature dimensionality. A binary RM using eXtreme Gradient Boosting (XGBOOST) was established to assess the test set, and sensitivity, specificity, and the area under the curve (AUC) were calculated. Finally, the AUC was used to evaluate the diagnostic efficacy and optimal diagnostic threshold of RM for active CD.

Results

In the training set, the AUC for RM to distinguish between non-mild and moderate-severe activity was 0.93, with a sensitivity of 90.2% and specificity of 83.7%. In the validation set, the AUC was 0.86, with a sensitivity of 90% and a specificity of 81.8%.

Conclusion

An imaging-omics model based on CTE can effectively evaluate CD activity.

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