Predicting mucosal healing in Crohn's disease: development of a deep-learning model based on intestinal ultrasound images.

Journal: Insights into imaging
Published Date: Jun 16, 2025

Abstract

OBJECTIVE: Predicting treatment response in Crohn's disease (CD) is essential for making an optimal therapeutic regimen, but relevant models are lacking. This study aimed to develop a deep learning model based on baseline intestinal ultrasound (IUS) images and clinical information to predict mucosal healing.

Authors

  • Li Ma
    Department of Technological Research and Development, Hunan Guanmu Biotech Co., Ltd, Changsha, China.
  • Yuepeng Chen
    School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, 100876, China.
  • Xiangling Fu
    School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, 100876, China. fuxiangling@bupt.edu.cn.
  • Jing Qin
    School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.
  • Yanwen Luo
    Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China.
  • Yuanjing Gao
    Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China.
  • Wenbo Li
    Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China.
  • Mengsu Xiao
    Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China.
  • Zheng Cao
    College of Computer Science and Technology, Zhejiang University, Hangzhou, 310006, China.
  • Jialin Shi
    Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China.
  • Qingli Zhu
    Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Shuaifuyuan 1St, Beijing, 100730, China. zqlpumch@126.com.
  • Chenyi Guo
    Department of Electronic Engineering, Tsinghua University, Beijing, China.
  • Ji Wu
    Department of Urology, Nanchong Central Hospital, Nanchong, Sichuan, China.

Keywords

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