PSMA PET/CT based multimodal deep learning model for accurate prediction of pelvic lymph-node metastases in prostate cancer patients identified as candidates for extended pelvic lymph node dissection by preoperative nomograms.

Abstract

Authors

• Qiaoke Ma
  Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China.
• Bei Chen
  Department of Urban Studies and Planning, University of Sheffield, Sheffield, UK.
• Robert Seifert
  Department of Nuclear Medicine, Medical Faculty, University Hospital Essen, Essen, Deutschland.
• Rui Zhou
  College of New Energy and Environment, Jilin University, Changchun 130021, China.
• Ling Xiao
  Cardiovascular Disease Initiative and Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
• Jinhui Yang
  Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China.
• Axel Rominger
• Kuangyu Shi
  Universitätsklinik für Nuklearmedizin, Inselspital University Hospital Bern, University of Bern, Bern, Switzerland.
• Weikai Li
• Yongxiang Tang
  Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China. xyyf0401@qq.com.
• Shuo Hu
  School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China.

Keywords

External Resources