Condition: Crohn Disease (CD) · Sponsor: Minhu Chen
Intestinal fibrotic strictures represent a severe complication of Crohn's disease (CD), affecting over half of the patients. Despite the continuous emergence of novel medications, effective treatment options remain scarce. Endoscopy fails to identify the full-thickness fibrosis of the bowel wall, and standardized assessment for cross-sectional imaging has yet to be established. Previous studies have demonstrated that radiomics models based on computed tomography and deep learning models exhibit commendable diagnostic capability. Thus, this project seeks to conduct a prospective multicenter study, with plans to recruit 234 CD patients requiring bowel resection from five medical centers. The aim is to develop and validate a deep learning model based on magnetic resonance enterography (MRE) to accurately characterize intestinal fibrosis.
This description comes directly from the study's public registry record.
Minhu Chen, Professor · +86 13802957089 · chenminhu@mail.sysu.edu.cn
Ren Mao, Professor · +86 13544476809 · maor5@mail.sysu.edu.cn
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| The First Affiliated Hospital,Sun Yat-sen University | Guangzhou, Guangdong, China | Recruiting |
| Sixth Affiliated Hospital of Sun Yat-sen University | Guangzhou, Guangdong, China | Not Yet Recruiting |
| Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University | Nanjing, Jiangsu, China | Not Yet Recruiting |
| Ruijin Hospital, Shanghai Jiaotong University School of Medicine | Huangpu, Shanghai Municipality, China | Not Yet Recruiting |
| Sir Run Run Shaw Hospital, Zhejiang University School of Medicine | Hangzhou, Zhejiang, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06858553