Large-scale pancreatic cancer detection via non-contrast CT and deep learning

Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC using a single test remains unfeasible due to the low prevalence and potential harms of false positives. Non-contrast computed tomography (CT), routinely performed for clinical indications, offers the potential for large-scale screening, however, identification of PDAC using non-contrast CT has long been considered impossible. Here, we develop a deep learning approach, pancreatic cancer detection with artificial intelligence (PANDA), that can detect and classify…

• JH
  Johns Hopkins University
• CG
  Chang Gung Memorial Hospital
• GP
  Guangdong Provincial Hospital of Traditional Chinese Medicine
• NN
  National Natural Science Foundation of China

  Award: 82372045
• FU
  Fudan University
• TU
  Tianjin University
• CG
  Chang Gung Medical Foundation
• ZU
  Zhejiang University
• TM
  Tianjin Medical University
• VF
  Všeobecná Fakultní Nemocnice v Praze
• GP
  Guangdong Provincial People's Hospital
• NI
  National Institutes of Health
• CI
  Cancer Institute and Hospital, Chinese Academy of Medical Sciences
• SO
  School of Medicine, Shanghai Jiao Tong University
• SH
  Shengjing Hospital
• SY
  Sun Yat-sen University Cancer Center
• NC
  NIH Clinical Center