Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study.

Journal: Annals of surgery
Published Date:

Abstract

OBJECTIVE: To develop an imaging-derived biomarker for prediction of overall survival (OS) of pancreatic cancer by analyzing preoperative multiphase contrast-enhanced computed topography (CECT) using deep learning.

Authors

  • Jiawen Yao
    PAII Inc., Bethesda, Maryland.
  • Kai Cao
  • Yang Hou
    Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Jian Zhou
    CTIQ, Canon Medical Research USA, Inc., Vernon Hills, 60061, USA.
  • Yingda Xia
    Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
  • Isabella Nogues
  • Qike Song
    Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
  • Hui Jiang
    Queensland Alliance for Environmental Health Science (QAEHS), University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4012, Australia.
  • Xianghua Ye
    Department of Radiotherapy, The First Affiliated Hospital, Zhejiang University, Zhejiang, Hangzhou, China.
  • Jianping Lu
    Department of Radiology, Changhai Hospital.
  • Gang Jin
    Department of Thoracic Surgery, Gansu Provincial Hospital, Lanzhou, China.
  • Hong Lu
  • Chuanmiao Xie
    Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
  • Rong Zhang
    Internal Medicine - Cardiology Division, UT Southwestern, Dallas, TX, USA.
  • Jing Xiao
    Xiyuan Hospital, China Academy of Chinese Medical Sciences(CACMS), Beijing, China.
  • Zaiyi Liu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Feng Gao
    Department of Statistics, UCLA, Los Angeles, CA 90095, USA.
  • Yafei Qi
    Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
  • Xuezhou Li
    Department of Radiology, Changhai Hospital, Shanghai, China.
  • Yang Zheng
    Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang, China.
  • Le Lu
  • Yu Shi
    NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois.
  • Ling Zhang