Meng Jixin, Mao Yitao, Zhou Jie, Chen Zhao, Huang Siyun, Wang Yangdi, Huang Li, Zhang Ruonan, Shen Xiaodi, Lv Wen, Xiao Juxiong, Ye Ziyin, Chen Zhihui, Mao Ren, Sun Canhui, Li Ziping, Feng Shi-Ting, Lin Shaochun, Li Xuehua
Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Therap Adv Gastroenterol. 2022 Sep 6;15:17562848221122504. doi: 10.1177/17562848221122504. eCollection 2022.
While the grading of intestinal fibrosis is closely related to the therapeutic strategy of patients with Crohn's disease (CD), it has not yet been well resolved. Mesenteric abnormalities are inextricably linked to intestinal fibrosis.
We aimed to establish an optimal model for assessing intestinal fibrosis using computed tomography enterography (CTE) and clinical markers.
A total of 174 patients with CD between January 2014 and June 2020 were included in this retrospective multicentre study.
All patients underwent CTE within 3 months prior to surgery. Intestinal fibrosis was pathologically scored as non-mild or moderate-to-severe. Selected imaging of the intestinal walls and mesentery and/or clinical factors were used to develop the diagnostic models. The area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the discrimination performance of the models. A decision curve analysis was performed to evaluate the clinical usefulness of the models.
One-, two-, and three-variable models were identified as possible diagnostic models. Model 1 [mesenteric creeping fat index (MCFI)], Model 2 (mesenteric oedema and MCFI), and Model 3 (mesenteric oedema, MCFI, and disease duration) were established. The AUCs of Model 1 in training and test cohorts 1 and 2 were 0.799, 0.859, and 0.693, respectively; Model 2 was 0.851, 0.833, and 0.757, respectively; and Model 3 was 0.832, 0.821, and 0.850, respectively. We did not observe any significant difference in diagnostic performance between the training and total test cohorts in any model (all > 0.05). The decision curves showed that Model 3 had the highest net clinical benefit in test cohort 2. The nomogram of this optimal model was constructed by considering the favourable and robust performance of Model 3.
A nomogram integrating mesenteric abnormalities on CTE with a clinical marker was optimal for differentiating between non-mild and moderate-to-severe fibrosis in patients with CD.
虽然肠道纤维化的分级与克罗恩病(CD)患者的治疗策略密切相关,但尚未得到很好的解决。肠系膜异常与肠道纤维化有着千丝万缕的联系。
我们旨在建立一种使用计算机断层扫描小肠造影(CTE)和临床标志物评估肠道纤维化的最佳模型。
这项回顾性多中心研究纳入了2014年1月至2020年6月期间的174例CD患者。
所有患者在手术前3个月内接受CTE检查。肠道纤维化在病理上分为非轻度或中重度。选择肠壁和肠系膜的影像学表现和/或临床因素来建立诊断模型。采用受试者操作特征曲线(AUC)下面积分析来评估模型的鉴别性能。进行决策曲线分析以评估模型的临床实用性。
单变量、双变量和三变量模型被确定为可能的诊断模型。建立了模型1[肠系膜爬行脂肪指数(MCFI)]、模型2(肠系膜水肿和MCFI)和模型3(肠系膜水肿、MCFI和病程)。模型1在训练队列以及测试队列1和2中的AUC分别为0.799、0.859和0.693;模型2分别为0.851、0.833和0.757;模型3分别为0.832、0.821和0.850。我们在任何模型的训练队列和总测试队列之间均未观察到诊断性能的任何显著差异(均>0.05)。决策曲线显示模型3在测试队列2中具有最高的净临床效益。通过考虑模型3的良好和稳健性能构建了此最佳模型的列线图。
将CTE上的肠系膜异常与临床标志物相结合的列线图最适合区分CD患者的非轻度和中重度纤维化。