Explainable PET-based intratumoral and peritumoral machine learning model for predicting visceral pleural invasion in clinical-stage IA non-small cell lung cancer: A two-center study.

Abstract

Authors

• B Xue
  Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• J Lan
  Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• S Chen
• L Wang
  Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Ministry of Health, Key Laboratory of Ministry of Education, Wuhan, China.
• E Xin
  Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China.
• J Xie
  Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
• X Zheng
  Qiushi Academy for Advanced Studies, Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang University, and Department of Biomedical Engineering, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou 310027, China shaomin@zju.edu.cn.
• L G Wang
  Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Key Laboratory of Interdiscipline and Translational Medicine, Wenzhou Key Laboratory of Heart and Lung, Wenzhou, China.
• K Tang
  Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Novel Nuclide Technologies on Precision Diagnosis and Treatment & Clinical Transformation of Wenzhou City, Wenzhou, China. Electronic address: kuntang007@wmu.edu.cn.

Keywords

External Resources