Deep learning-based diagnosis of osteoblastic bone metastases and bone islands in computed tomograph images: a multicenter diagnostic study.

Journal: European radiology
Published Date:

Abstract

OBJECTIVE: To develop and validate a deep learning (DL) model based on CT for differentiating bone islands and osteoblastic bone metastases.

Authors

  • Yuchao Xiong
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Wei Guo
    Emergency Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Zhiping Liang
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Li Wu
    Institute of Food Science and Technology, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
  • Guoxi Ye
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital of Jinan University), Guangzhou, China.
  • Ying-Ying Liang
    Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, 1Panfu Road, Guangzhou, 510180, Guangdong Province, China.
  • Chao Wen
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital, Medical College of Jinan University), 396 Tongfu Road, Guangzhou, 510220, Guangdong Province, China.
  • Feng Yang
  • Song Chen
    Department of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, China.
  • Xu-Wen Zeng
    Department of Radiology, Guangzhou Red Cross Hospital (Guangzhou Red Cross Hospital, Medical College of Jinan University), 396 Tongfu Road, Guangzhou, 510220, Guangdong Province, China. gzshszhyyfsk@163.com.
  • Fan Xu
    Department of Public Health, Chengdu Medical College, Sichuan, China.