MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst.

Journal: Computational and mathematical methods in medicine
PMID:

Abstract

BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagnosis between them.

Authors

  • Yanping Wang
    The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
  • Sixuan Chen
    Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
  • Feng Shi
    Department of Research and Development, Shanghai United Imaging Intelligence, Co., Ltd. Shanghai, China.
  • Xiaoqing Cheng
    Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
  • Qiang Xu
    University of Huddersfield, Queensgate, Huddersfield, United Kingdom . Electronic address: Q.Xu2@hud.ac.uk.
  • Jianrui Li
    Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
  • Song Luo
    Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, P.R. China.
  • Pengbo Jiang
  • Ying Wei
    School of Information Science and Engineering, Northeastern University, Shenyang 110004, China ; Key Laboratory of Medical Imaging Calculation of the Ministry of Education, Shenyang 110004, China.
  • Changsheng Zhou
    Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, No.305, Zhongshan East Road, Nanjing, 210002, China.
  • Lijuan Zheng
    State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, PR China. Electronic address: ljzheng@phy.ecnu.edu.cn.
  • Kaiwei Xia
    Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
  • Guangming Lu
    Department of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
  • Zhiqiang Zhang
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.