Development and validation of a clinical radiomics nomogram to predict secondary loss of response to infliximab in Crohn's disease patients

被引:3
|
作者
Zhu, Chao [1 ]
Wang, Xingwei [1 ]
Wang, Shihui [2 ]
Hu, Jing [3 ]
Gao, Yankun [1 ]
Li, Cuiping [1 ]
Li, Jianying [4 ]
Wu, Xingwang [1 ,5 ]
机构
[1] Anhui Med Univ, Affiliated Hosp 1, Dept Radiol, Hefei 230022, Peoples R China
[2] First Affiliated Hosp, Wannan Med Coll, Dept Radiol, Wuhu 241001, Peoples R China
[3] Anhui Med Univ, Affiliated Hosp 1, Dept Gastroenterol, Hefei 230022, Peoples R China
[4] GE Healthcare China, CT Res Ctr, Shanghai 210000, Peoples R China
[5] Anhui Med Univ, Affiliated Hosp 1, Dept Radiol, 218 Jixi Rd, Hefei 230022, Anhui, Peoples R China
关键词
Crohn disease; Infliximab; Tomography; X-ray computed; Radiomics; INFLAMMATORY-BOWEL-DISEASE; THERAPEUTIC RESPONSE; COMPUTED-TOMOGRAPHY; CERTOLIZUMAB PEGOL; ENTEROGRAPHY; MANAGEMENT; CONSENSUS; OUTCOMES;
D O I
10.1016/j.heliyon.2023.e14594
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Infliximab (IFX) is the first-line treatment for Crohn's disease (CD). However, the secondary loss of response (LOR) is common in IFX therapy. Therefore, non-invasive assessment of LOR in CD patients is the goal pursued by clinicians.Methods: A multicenter study involving 181 CD patients was conducted, with patients being split into a training cohort (n = 102), testing cohort (n = 45), and validation cohort (n = 34). The study evaluated various clinical factors to establish a clinical model, and a radiomics signature was constructed based on reproducible features from computed tomography enterography (CTE). Logistic regression modeling was used to create models based on the radiomics signature and significant clinical factors, with the receiver operating characteristic curve (ROC) used to compare their performance. Results: The study found that 64 of the 181 CD patients included experienced secondary LOR. The radiomics signature performed well in predicting secondary LOR, showing good discrimination in the training cohort (AUC [area under the curve], 0.947; 95% confidence interval [CI], 0.910-0.976), the testing cohort (AUC, 0.860; 95% CI, 0.768-0.941), and the validation cohort (AUC, 0.921; 95% CI: 0.831-1.000). Decision curve analysis (DCA) demonstrated the clinical value of the radiomics nomogram.Conclusions: The CTE-based radiomics model showed good performance in predicting secondary LOR in CD patients. The nomogram can help clinicians choose alternative biologics early for CD patients.
引用
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页数:10
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