A CT-Based Deep Learning Radiomics Nomogram for Early Recurrence Prediction in Pancreatic Cancer: A Multicenter Study.

Journal: Annals of surgical oncology
Published Date:

Abstract

BACKGROUND: Early recurrence (ER) following curative-intent surgery remains a major obstacle to improving long-term outcomes in patients with pancreatic cancer (PC). The accurate preoperative prediction of ER could significantly aid clinical decision-making and guide postoperative management.

Authors

  • Xiao Guan
    Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, No. 121, Jiangjiayuan Road, Nanjing, 210011, Jiangsu, China.
  • Jinsong Liu
    Zhejiang Huijia Biotechnology Co. Ltd., Anji, Zhejiang, 313307, PR China.
  • Lei Xu
    Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
  • Wenwen Jiang
    Center of Reproductive Medicine, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, No. 18 Daoshan Road, Fuzhou City, 350001, Fujian Province, China.
  • Chengfeng Wang
    Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. wangchengfeng62@163.com.

Keywords

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