Li Yuanqiu, Xiong Ziman, Jiang Yuchen, Shen Yaqi, Hu Xuemei, Hu Daoyu, Li Zhen
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Bioengineering (Basel). 2023 Oct 17;10(10):1211. doi: 10.3390/bioengineering10101211.
Behçet's disease (BD) behaves similarly to Crohn's disease (CD) when the bowel is involved. Computed tomography enterography (CTE) can accurately show intestinal involvement and obtain body composition data. The objective of this study was to evaluate whether CTE could improve the ability to distinguish between intestinal BD and CD. This study evaluated clinical, laboratory, endoscopic, and CTE features on first admission. Body composition analysis was based on the CTE arterial phase. The middle layers of the L1-L5 vertebral body were selected. The indicators assessed included: the area ratio of visceral adipose tissue (VAT)/subcutaneous adipose tissue (SAT) (VSR) in each layer, the total volume ratio of VAT/SAT, the quartile of VAT attenuation in each layer and the coefficient of variation (CV) of the VAT area for each patient was also calculated. Two models were developed based on the above indicators: one was a traditional model (age, gender, ulcer distribution) and the other was a comprehensive model (age, gender, ulcer distribution, proximal ileum involvement, asymmetrical thickening of bowel wall, intestinal stenosis, VSR, and CV). The areas under the receiver operating characteristic (ROC) curve of the traditional (sensitivity: 80.0%, specificity: 81.0%) and comprehensive (sensitivity: 95.0%, specificity: 87.2%) models were 0.862 and 0.941, respectively ( = 0.005).
白塞病（BD）累及肠道时的表现与克罗恩病（CD）相似。计算机断层扫描小肠造影（CTE）能够准确显示肠道受累情况并获取身体成分数据。本研究的目的是评估CTE是否能提高鉴别肠道BD和CD的能力。本研究评估了首次入院时的临床、实验室、内镜及CTE特征。身体成分分析基于CTE动脉期。选取L1 - L5椎体的中层。评估指标包括：每层内脏脂肪组织（VAT）/皮下脂肪组织（SAT）的面积比（VSR）、VAT/SAT的总体积比、每层VAT衰减的四分位数，并且还计算了每位患者VAT面积的变异系数（CV）。基于上述指标构建了两个模型：一个是传统模型（年龄、性别、溃疡分布），另一个是综合模型（年龄、性别、溃疡分布、回肠近端受累、肠壁不对称增厚、肠道狭窄、VSR和CV）。传统模型（敏感性：80.0%，特异性：81.0%）和综合模型（敏感性：95.0%，特异性：87.2%）的受试者操作特征（ROC）曲线下面积分别为0.862和0.941（P = 0.005）。
