Early detection of pancreatic cancer

Stephen P. Pereira, Lucy Oldfield, Alexander Ney, Phil A. Hart, Margaret G. Keane, Stephen J. Pandol, Debiao Li, William Greenhalf, Christie Y. Jeon, Eugene J. Koay, Christopher V. Almario, Christopher Halloran, Anne Marie Lennon, Eithne Costello

Research output: Contribution to journalReview article

22 Scopus citations

Abstract

Pancreatic ductal adenocarcinoma is most frequently detected at an advanced stage. Such late detection restricts treatment options and contributes to a dismal 5-year survival rate of 3–15%. Pancreatic ductal adenocarcinoma is relatively uncommon and screening of the asymptomatic adult population is not feasible or recommended with current modalities. However, screening of individuals in high-risk groups is recommended. Here, we review groups at high risk for pancreatic ductal adenocarcinoma, including individuals with inherited predisposition and patients with pancreatic cystic lesions. We discuss studies aimed at finding ways of identifying pancreatic ductal adenocarcinoma in high-risk groups, such as among individuals with new-onset diabetes mellitus and people attending primary and secondary care practices with symptoms that suggest this cancer. We review early detection biomarkers, explore the potential of using social media for detection, appraise prediction models developed using electronic health records and research data, and examine the application of artificial intelligence to medical imaging for the purposes of early detection.

Original languageEnglish (US)
Pages (from-to)698-710
Number of pages13
JournalThe Lancet Gastroenterology and Hepatology
Volume5
Issue number7
DOIs
StatePublished - Jul 2020

ASJC Scopus subject areas

  • Hepatology
  • Gastroenterology

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