Ding Hao, Fang Yuan-Yuan, Fan Wen-Jie, Zhang Chen-Yu, Wang Shao-Fei, Hu Jing, Han Wei, Mei Qiao
Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
World J Gastroenterol. 2025 Jan 21;31(3):102283. doi: 10.3748/wjg.v31.i3.102283.
Mucosal healing (MH) is the major therapeutic target for Crohn's disease (CD). As the most commonly involved intestinal segment, small bowel (SB) assessment is crucial for CD patients. Yet, it poses a significant challenge due to its limited accessibility through conventional endoscopic methods.
To establish a noninvasive radiomic model based on computed tomography enterography (CTE) for MH assessment in SBCD patients.
Seventy-three patients diagnosed with SBCD were included and divided into a training cohort ( = 55) and a test cohort ( = 18). Radiomic features were obtained from CTE images to establish a radiomic model. Patient demographics were analysed to establish a clinical model. A radiomic-clinical nomogram was constructed by combining significant clinical and radiomic features. The diagnostic efficacy and clinical benefit were evaluated receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA), respectively.
Of the 73 patients enrolled, 25 patients achieved MH. The radiomic-clinical nomogram had an area under the ROC curve of 0.961 (95% confidence interval: 0.886-1.000) in the training cohort and 0.958 (0.877-1.000) in the test cohort and provided superior clinical benefit to either the clinical or radiomic models alone, as demonstrated by DCA.
These results indicate that the CTE-based radiomic-clinical nomogram is a promising imaging biomarker for MH and serves as a potential noninvasive alternative to enteroscopy for MH assessment in SBCD patients.
黏膜愈合(MH)是克罗恩病(CD)的主要治疗目标。作为最常受累的肠段,小肠(SB)评估对CD患者至关重要。然而,由于通过传统内镜方法难以到达,对其评估构成了重大挑战。
建立基于计算机断层扫描小肠造影(CTE)的无创放射组学模型,用于评估小肠克罗恩病(SBCD)患者的黏膜愈合情况。
纳入73例诊断为SBCD的患者,分为训练队列(n = 55)和测试队列(n = 18)。从CTE图像中提取放射组学特征以建立放射组学模型。分析患者人口统计学数据以建立临床模型。通过结合显著的临床和放射组学特征构建放射组学-临床列线图。分别采用受试者操作特征(ROC)曲线分析和决策曲线分析(DCA)评估诊断效能和临床获益。
在纳入的73例患者中,25例实现了黏膜愈合。放射组学-临床列线图在训练队列中的ROC曲线下面积为0.961(95%置信区间:0.886 - 1.000),在测试队列中为0.958(0.877 - 1.000),并且如DCA所示,其临床获益优于单独的临床或放射组学模型。
这些结果表明,基于CTE的放射组学-临床列线图是一种有前景的用于评估黏膜愈合的影像学生物标志物,并且可作为SBCD患者评估黏膜愈合的潜在无创性小肠镜替代方法。