The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.

Journal: BMC gastroenterology
Published Date:

Abstract

PURPOSE: To develop and validate a hybrid radiomics model to predict the overall survival in pancreatic cancer patients and identify risk factors that affect patient prognosis.

Authors

  • Zheng Dou
    Department of Radiation Oncology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, China.
  • Jiaxi Lin
    Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
  • Chenghao Lu
    Precision Agriculture Lab, School of Life Sciences, Technical University of Munich, Freising, Germany.
  • Xiaoting Ma
    Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China.
  • Ruoxu Zhang
    Department of Radiation Oncology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, China.
  • Jinzhou Zhu
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215000, China.
  • Songbing Qin
    Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Chao Xu
    Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China;Department of Emergency, Zhejiang Hospital, Hangzhou 310013, China.
  • Jinli Li
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.