Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study.

Abstract

Authors

• Guanchao Ye
  Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Guangyao Wu
  Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Yu Qi
  Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
• Kuo Li
  Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (G.Y., K.L., C.Z., Y.L.).
• Mingliang Wang
  Faculty of Psychology, Tianjin Normal University, Tianjin, China.
• Chunyang Zhang
  1 The Nursing College of Zhengzhou University, Zhengzhou 450052, China ; 2 Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
• Feng Li
  Department of General Surgery, Shanghai Traditional Chinese Medicine (TCM)-INTEGRATED Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
• Leonard Wee
  Maastricht University Medical Centre, Netherlands.
• Andre Dekker
  Department of Radiation Oncology (MAASTRO Clinic), Dr. Tanslaan 12, Maastricht, The Netherlands.
• Chu Han
• Zaiyi Liu
  Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
• Yongde Liao
  Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Zhenwei Shi
  Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Development Biology, Maastricht University Medical Centre+, Maastricht, 6229 ET, The Netherlands.

Keywords

External Resources