A Novel Radiomics Model Integrating Luminal and Mesenteric Features to Predict Mucosal Activity and Surgery Risk in Crohn's Disease Patients: A Multicenter Study.

Autor:	Ruiqing L; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Jiangsu Road 16#, Qingdao, Shandong 266400, People's Republic of China., Jing Y; Institute of Translational Medicine, Zhejiang University, Hangzhou, ZJ, China., Shunli L; Department of Radiology, The Affiliated Hospital of Qingdao University Qingdao, Qingdao, SD, China., Jia K; Department of Colorectal Surgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, GD, China., Zhibo W; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Jiangsu Road 16#, Qingdao, Shandong 266400, People's Republic of China., Hongping Z; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Jiangsu Road 16#, Qingdao, Shandong 266400, People's Republic of China., Keyu R; Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, SD, China., Xiaoming Z; Department of Radiology, The Affiliated Hospital of Qingdao University Qingdao, Qingdao, SD, China., Zhiming W; Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, JS, China., Weiming Z; Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, JS, China., Tianye N; Shenzhen Bay Laboratory, Shenzhen, GD, China., Yun L; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Jiangsu Road 16#, Qingdao, Shandong 266400, People's Republic of China. Electronic address: luyun@qdyy.cn.
Jazyk:	angličtina
Zdroj:	Academic radiology [Acad Radiol] 2023 Sep; Vol. 30 Suppl 1, pp. S207-S219. Date of Electronic Publication: 2023 May 05.
DOI:	10.1016/j.acra.2023.03.023
Abstrakt:	Background: To investigate the feasibility of integrating radiomics and morphological features based on computed tomography enterography (CTE) for developing a noninvasive grading model for mucosal activity and surgery risk of Crohn's disease (CD) patients. Methods: A total of 167 patients from three centers were enrolled. Radiomics and image morphological features were extracted to quantify segmental and global simple endoscopic score for Crohn's disease (SES-CD). An image-fusion-based support vector machine (SVM) classifier was used for grading SES-CD and identifying moderate-to-severe SES-CD. The performance of the predictive model was assessed using the area under the receiver operating characteristic curve (AUC). A multiparametric model was developed to predict surgical progression in CD patients by combining sum-image scores and clinical data. Results: The AUC values of the multicategorical segmental SES-CD fusion radiomic model based on a combination of luminal and mesenteric radiomics were 0.828 and 0.709 in training and validation cohorts. The image fusion model integrating the fusion radiomics and morphological features could accurately distinguish bowel segments with moderate-to-severe SES-CD in both the training cohort (AUC = 0.847, 95% confidence interval (CI): 0.784-0.902) and the validation cohort (AUC = 0.896, 95% CI: 0.812-0.960). A predictive nomogram for interval surgery was developed based on multivariable cox analysis. Conclusions: This study demonstrated the feasibility of integrating lumen and mesentery radiomic features to develop a promising noninvasive grading model for mucosal activity of CD. In combination with clinical data, the fusion-image score may yield an accurate prognostic model for time to surgery. Competing Interests: Declaration of Competing Interest The authors declare that they have no conflicts of interest. (Copyright © 2023 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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