Predicting mucosal healing in Crohn’s disease: development of a deep-learning model based on intestinal ultrasound images
Response to medication treatment is highly variable among patients with CD. High-resolution IUS images of the intestinal wall may hide significant characteristics for treatment response. A deep-learning model capable of predicting treatment response was generated using pretreatment IUS images.
Authors
- Xiangling Fu (ORCID: https://orcid.org/0000-0002-1492-2829)
- Qingli Zhu (ORCID: https://orcid.org/0000-0002-0618-2381)
- Zheng Cao (ORCID: https://orcid.org/0000-0002-0968-1864)
- Yuanjing Gao (ORCID: https://orcid.org/0000-0002-5382-1836)
- Yanwen Luo (ORCID: https://orcid.org/0000-0003-3792-9123)
- Chenyi Guo (ORCID: https://orcid.org/0000-0002-8222-5179)
- Yuepeng Chen (ORCID: https://orcid.org/0009-0001-4003-0680)
- Ji Wu (ORCID: https://orcid.org/0000-0002-8073-5319)
- Wenbo Li (ORCID: https://orcid.org/0000-0002-5524-2141)
- Mengsu Xiao
- Jing Qin (ORCID: https://orcid.org/0000-0002-6029-7673)
- Jialin Shi (ORCID: https://orcid.org/0000-0001-9629-3706)
- Li Ma (ORCID: https://orcid.org/0000-0003-4252-7110)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1186/s13244-025-02014-5
- Citations
- 4
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 7.27
Funders
- Tsinghua University
- Peking Union Medical College Hospital