Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn's Disease.

Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn's Disease.
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用于表征克罗恩病肠纤维化的新型计算机断层扫描肠造影放射组学方法的开发和验证。

DOI:
10.1053/j.gastro.2021.02.027
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发表时间:
2021-06
期刊:
影响因子:
29.4
通讯作者:
Feng ST
Feng ST
中科院分区:
医学1区
文献类型:
--
作者:
Li X;Liang D;Meng J;Zhou J;Chen Z;Huang S;Lu B;Qiu Y;Baker ME;Ye Z;Cao Q;Wang M;Yuan C;Chen Z;Feng S;Zhang Y;Iacucci M;Ghosh S;Rieder F;Sun C;Chen M;Li Z;Mao R;Huang B;Feng ST

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没有可靠的方法来评估肠道纤维化在克罗恩病(CD)存在,因此,我们开发了一个计算机断层扫描肠造影(CTE)为基础的放射组学模型(RM)的特点肠纤维化在CD。这项回顾性多中心研究纳入了167例CD患者,共212处肠道病变(培训,98处病变;测试,114处病变),这些患者于2014年1月至2020年6月在3家三级转诊中心之一接受了术前CTE和肠切除术。肠纤维化在组织学上被分类为非轻度或中重度。在训练队列中,从静脉期CTE中提取了1454个放射组学特征,并使用逻辑回归基于可再现特征开发了基于机器学习的RM。RM在从3个中心招募的独立外部测试队列中进行了验证。采用受试者工作特征(ROC)曲线分析,比较RM的诊断性能与2名放射科医师对CTE的目视判读。在训练队列中,RM区分中重度与非肠纤维化的ROC曲线下面积(AUC)为0.888(95%置信区间[CI],0.818-0.957)。在试验队列中,RM在3个中心表现出稳健的性能,AUC分别为0.816(95% CI,0.706-0.926)、0.724(95% CI,0.526-0.923)和0.750(95% CI,0.560-0.940)。此外,在测试组群中,RM比由任一放射科医生进行的视觉解释更准确(放射科医生1,AUC = 0.554;放射科医生2,AUC = 0.598;两者,P <0.001)。决策曲线分析表明,RM提供了一个更好的净效益预测肠纤维化比放射科医生。基于CTE的RM可以准确表征CD中的肠纤维化。
No reliable method for evaluating intestinal fibrosis in Crohn’s disease (CD) exists; therefore, we developed a computed-tomography enterography (CTE)–based radiomic model (RM) for characterizing intestinal fibrosis in CD. This retrospective multicenter study included 167 CD patients with 212 bowel lesions (training, 98 lesions; test, 114 lesions) who underwent preoperative CTE and bowel resection at 1 of the 3 tertiary referral centers from January 2014 through June 2020. Bowel fibrosis was histologically classified as none–mild or moderate–severe. In the training cohort, 1454 radiomic features were extracted from venous-phase CTE and a machine learning–based RM was developed based on the reproducible features using logistic regression. The RM was validated in an independent external test cohort recruited from 3 centers. The diagnostic performance of RM was compared with 2 radiologists’ visual interpretation of CTE using receiver operating characteristic (ROC) curve analysis. In the training cohort, the area under the ROC curve (AUC) of RM for distinguishing moderate–severe from none–intestinal fibrosis was 0.888 (95% confidence interval [CI], 0.818–0.957). In the test cohort, the RM showed robust performance across 3 centers with an AUC of 0.816 (95% CI, 0.706–0.926), 0.724 (95% CI, 0.526–0.923), and 0.750 (95% CI, 0.560–0.940), respectively. Moreover, the RM was more accurate than visual interpretations by either radiologist (radiologist 1, AUC = 0.554; radiologist 2, AUC = 0.598; both, P < .001) in the test cohort. Decision curve analysis showed that the RM provided a better net benefit to predicting intestinal fibrosis than the radiologists. A CTE-based RM allows for accurate characterization of intestinal fibrosis in CD.
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