Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques
- PMID: 39467913
- PMCID: PMC12282273
- DOI: 10.1007/s00261-024-04644-7
Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques
Abstract
Early detection is crucial for improving survival rates of pancreatic ductal adenocarcinoma (PDA), yet current diagnostic methods can often fail at this stage. Recently, there has been significant interest in improving risk stratification and developing imaging biomarkers, through novel imaging techniques, and most notably, artificial intelligence (AI) technology. This review provides an overview of these advancements, with a focus on deep learning methods for early detection of PDA.
Keywords: Artificial intelligence; Early detection; Nanoparticle contrast agent; Pancreatic cancer; Photon-counting CT.
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
Declarations. Conflict of interest: The authors declare no competing interests.
Figures
References
-
- Rahib L, Smith BD, Aizenberg R, Rosenzweig AB, Fleshman JM, Matrisian LM. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res [Internet]. 2014. [cited 2024 Aug 10];74:2913–21. Available from: https://pubmed.ncbi.nlm.nih.gov/24840647/ - PubMed
-
- Goggins M, Overbeek KA, Brand R, Syngal S, Del Chiaro M, Bartsch DK, et al. Management of patients with increased risk for familial pancreatic cancer: updated recommendations from the International Cancer of the Pancreas Screening (CAPS) Consortium. Gut [Internet]. 2020;69:7–17. Available from: 10.1136/gutjnl-2019-319352 - DOI - PMC - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
