Early Detection of Pancreatic Cancer: Opportunities and Challenges
Open accessAbstract
Most patients with pancreatic ductal adenocarcinoma (PDAC) present with symptomatic, surgically unresectable disease. Although the goal of early detection of PDAC is laudable and likely to result in significant improvement in overall survival, the relatively low prevalence of PDAC renders general population screening infeasible. The challenges of early detection include identification of at-risk individuals in the general population who would benefit from longitudinal surveillance programs and appropriate biomarker and imaging-based modalities used for PDAC surveillance in such cohorts. In recent years, various subgroups at higher-than-average risk for PDAC have been identified, including those with familial risk due to germline mutations, a history of pancreatitis, patients with mucinous pancreatic cysts, and elderly patients with new-onset diabetes. The last 2 categories are discussed at length in terms of the opportunities and challenges they present for PDAC early detection. We also discuss current and emerging imaging modalities that are critical to identifying early, potentially curable PDAC in high-risk cohorts on surveillance.
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Current pancreatic cancer biomarkers lack sufficient sensitivity and specificity for clinical application.
“However, the current PC biomarkers lack sufficient sensitivity and specificity for clinical application 44,161,170.”
From Artificial intelligence in pancreatic cancer (2022) · cites this paper as [170]
The Overview (page unavailable) says that biomarkers meeting the performance requirements for use in asymptomatic screening are not yet available. The Road Ahead (page unavailable) says circulating tumor cell and tumor DNA assays cannot be used for screening or early diagnosis because of limited sensitivity, despite high specificity. The claim extends these screening-specific limitations to all clinical applications and implies both measures are insufficient for current biomarkers generally. (LLM, conf=0.83)
Experimental — accuracy not yet measuredApproximately 85-90% of PDAC cases are ascribed to arise from PanIN lesions, with the remaining 10-15% from cystic precursors.
“Approximately 85–90% of PDAC cases are ascribed to originate on the backdrop of PanIN lesions, the remaining 10–15% in cystic precursors20.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [20]
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“CT that is appropriate for the diagnosis of pancreatic cancer should be taken in the arterial phase (approximately 30 s after contrast injection) and portal venous phase (approximately 60–70 s after contrast injection), which are based on the pancreatic protocol (26).”
- Authors
- Singhi, A. D., Koay, E. J., Chari, S. T., & Maitra, A.
- Affiliations
- University of Pittsburgh Medical Center (US)
- The University of Texas MD Anderson Cancer Center (US)
- Mayo Clinic (US)
- Corresponding author
- Chari, Suresh T.
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 156
- Issue
- 7
- Pages
- 2024-2040
- ISSN
- 0016-5085 (ISSN-L)
- PMC
- PMC6486851
- OpenAlex
- W2913413342
- Cited by
- 841
- References
- 185
- Citations by year
- 2026: 92 · 2025: 150 · 2024: 135 · 2023: 134 · 2022: 120 · 2021: 111 · 2020: 78 · 2019: 20
- FWCI
- 8.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Gastroenterology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (U01 CA196403, R01 CA218004, U01 CA200468)
- National Institutes of Health (DK108288)
- GE Healthcare
- Pancreatic Cancer Action Network
- Mayo Foundation for Medical Education and Research
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Keywords
- pancreatic ductal adenocarcinoma, early detection, cancer surveillance, vulnerable populations, familial pancreatic cancer, germline mutations, pancreatitis, mucinous pancreatic cysts, new-onset diabetes, pancreatic imaging, biomarkers
- MeSH terms
- Animals, Diagnostic Imaging, Humans, Pancreatic Neoplasms, Precancerous Conditions, Predictive Value of Tests, Risk Factors, Biomarkers, Tumor, Incidence, Risk Assessment, Carcinoma, Pancreatic Ductal, Early Detection of Cancer, Molecular Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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