Preoperative MRI-based deep learning reconstruction and classification model for assessing rectal cancer.

Journal: BMC medical imaging
Published Date: Jul 1, 2025

Abstract

BACKGROUND: To determine whether deep learning reconstruction (DLR) could improve the image quality of rectal MR images, and to explore the discrimination of the TN stage of rectal cancer by different readers and deep learning classification models, compared with conventional MR images without DLR.

Authors

  • Yuan Yuan
    Department of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
  • Shengnan Ren
    Department of Nuclear Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
  • Haidi Lu
    Department of Radiology, Changhai Hospital, No.168 Changhai Road, Shanghai, 200433, China.
  • Fangying Chen
    Department of Radiology, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China.
  • Lei Xiang
    Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
  • Ryan Chamberlain
    Department of Research and Development, Subtle Medical, Menlo Park, CA, USA.
  • Chengwei Shao
    Department of Radiology, Changhai Hospital.
  • Jianping Lu
    Department of Radiology, Changhai Hospital.
  • Fu Shen
    Department of Radiology, Changhai Hospital, No.168 Changhai Road, Shanghai, 200433, China. ssff_53@163.com.
  • Luguang Chen
    Department of Radiology, Changhai Hospital of Shanghai, The Second Military Medical University, No.168 Changhai Road, Shanghai, 200433, China.

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