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基于术前计算机断层扫描小肠造影的影像组学特征:克罗恩病患者术后吻合口复发的潜在预测指标

Preoperative computed tomography enterography-based radiomics signature: A potential predictor of postoperative anastomotic recurrence in patients with Crohn's disease.

作者信息

Shen Xiao-di, Zhang Ruo-Nan, Huang Si-Yun, Wang Yang-di, Liu Ren-Yi, Meng Ji-Xin, Zhou Jie, Chen Zhao, Fang Jia-Yu, Mao Ren, Li Zi-Ping, Sun Can-Hui, Feng Shi-Ting, Lin Shao-Chun, Zhong Ying-Kui, Li Xue-Hua

机构信息

Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.

Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Yuancun Er Heng Road, NO.26, Guangzhou 510655, People's Republic of China.

出版信息

Eur J Radiol. 2023 May;162:110766. doi: 10.1016/j.ejrad.2023.110766. Epub 2023 Mar 10.

Abstract

BACKGROUND

More than half of patients with Crohn's disease (CD) require at least one surgery for symptom management; however, approximately half of the patients may experience postoperative anastomotic recurrence (PAR).

OBJECTIVES

This study aims to develop and validate a preoperative computed tomography enterography (CTE)-based radiomics signature to predict early PAR in CD.

DESIGN

A total of 186 patients with CD (training cohort, n = 134; test cohort, n = 52) who underwent preoperative CTE and surgery between January 2014 and June 2020 were included in this retrospective multi-centre study.

METHODS

106 radiomic features were initially extracted from intestinal lesions and peri-intestinal mesenteric fat, respectively; significant radiomic features were selected from them and then used to develop intestinal or mesenteric radiomics signatures, using the least absolute shrinkage and selection operator and a Cox regression model. A radiomics-based nomogram incorporating these signatures with clinical-radiological factors was created for comparison with a model based on clinical-radiological features alone.

RESULTS

68 of 134 patients in training cohort and 16 of 52 patients in test cohort suffered from PAR. The intestinal radiomic signature (hazard ratio [HR]: 2.17; 95% confidence interval [CI]: 1.32-3.58; P = 0.002) and mesenteric radiomic signature (HR: 2.19; 95% CI: 1.14-4.19; P = 0.018) were independent risk factors for PAR in the training cohort as per a multivariate analysis. The radiomics-based nomogram (C-index: 0.710; 95% CI: 0.672-0.748) yielded superior predictive performance than the clinical-radiological model (C-index, 0.607; 95% CI: 0.582-0.632) in the test cohort. Decision curve analysis demonstrated that the radiomics-based nomogram outperformed the clinical-radiological model in terms of clinical usefulness.

CONCLUSIONS

Preoperative mesenteric and intestinal CTE radiomics signatures are potential non-invasive predictors of PAR in postoperative patients with CD.

摘要

背景

超过半数的克罗恩病(CD)患者需要至少接受一次手术来控制症状;然而,约半数患者术后可能出现吻合口复发(PAR)。

目的

本研究旨在开发并验证一种基于术前计算机断层扫描小肠造影(CTE)的影像组学特征,以预测CD患者的早期PAR。

设计

本项回顾性多中心研究纳入了2014年1月至2020年6月期间接受术前CTE和手术的186例CD患者(训练队列,n = 134;测试队列,n = 52)。

方法

最初分别从肠道病变和肠周肠系膜脂肪中提取106个影像组学特征;从中筛选出显著的影像组学特征,然后使用最小绝对收缩和选择算子以及Cox回归模型来构建肠道或肠系膜影像组学特征。创建了一个将这些特征与临床放射学因素相结合的基于影像组学的列线图,以便与仅基于临床放射学特征的模型进行比较。

结果

训练队列的134例患者中有68例、测试队列的52例患者中有16例发生PAR。多因素分析显示,肠道影像组学特征(风险比[HR]:2.17;95%置信区间[CI]:1.32 - 3.58;P = 0.002)和肠系膜影像组学特征(HR:2.19;95% CI:1.14 - 4.19;P = 0.018)是训练队列中PAR的独立危险因素。在测试队列中,基于影像组学的列线图(C指数:0.710;95% CI:0.672 - 0.748)比临床放射学模型(C指数,0.607;95% CI:0.582 - 0.632)具有更好的预测性能。决策曲线分析表明,基于影像组学的列线图在临床实用性方面优于临床放射学模型。

结论

术前肠系膜和肠道CTE影像组学特征是CD术后患者PAR的潜在非侵入性预测指标。

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