A deep learning model for differentiating paediatric intracranial germ cell tumour subtypes and predicting survival with MRI: a multicentre prospective study.

Journal: BMC medicine
PMID: 39256746

Abstract

BACKGROUND: The pretherapeutic differentiation of subtypes of primary intracranial germ cell tumours (iGCTs), including germinomas (GEs) and nongerminomatous germ cell tumours (NGGCTs), is essential for clinical practice because of distinct treatment strategies and prognostic profiles of these diseases. This study aimed to develop a deep learning model, iGNet, to assist in the differentiation and prognostication of iGCT subtypes by employing pretherapeutic MR T2-weighted imaging.

Authors

  • Yanong Li
    Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
  • Zhizheng Zhuo
    Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Jinyuan Weng
    Department of Medical Imaging Product, Neusoft, Group Ltd., Shenyang, People's Republic of China.
  • Sven Haller
    Department of Surgical Sciences, Radiology, Uppsala University, Sweden.
  • Harrison X Bai
    Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
  • Bo Li
    Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming, Yunnan, China.
  • Xing Liu
    School of Food Science and Engineering, Hainan University 58 Renmin Avenue Haikou 570228 China zhangzeling@hainanu.edu.cn benchao312@hainanu.edu.cn xuhuan.hnu@foxmail.com qichen@hainanu.edu.cn sunzhichang11@163.com hmcao@hainanu.edu.cn.
  • Mingwang Zhu
    Department of Radiology, Sanbo Brain Hospital, Capital Medical University, Beijing, P.R. China.
  • Zheng Wang
    Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Jane Li
    Department of Radiology, New York Presbyterian, Lower Manhattan Hospital, New York, NY, 10038, USA.
  • Xiaoguang Qiu
    Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. qiuxiaoguang@bjtth.org.
  • Yaou Liu
    Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, PR China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, PR China.

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