A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.

Abstract

Authors

• Li Wang
  College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
• Ting Qiu
  Department of Radiation Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
• Jiawei Zhou
  State Key Laboratory of Oral Diseases, West China School of Stomatology, West China Hospital of Stomatology, Department of Orthodontics, Sichuan University, People's Republic of China.
• Yinsu Zhu
  Nanjing Medical University, Nanjing, Jiangsu, China.
• Baozhou Sun
  Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO, 63110, USA.
• Guanyu Yang
  Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China; Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing, China; Centre de Recherche en Information Biomedicale Sino-Francais (LIA CRIBs), Rennes, France.
• Shengfu Huang
  Department of Radiation Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
• Lirong Wu
  School of Engineering, Westlake University, Hangzhou 310024, China.
• Xia He
  Department of Radiation Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.

Keywords

External Resources