Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
SMART-Approach Pancreatic Cancer Surveillance in Clinical Practice
0
Zitationen
2
Autoren
2025
Jahr
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with over 66,000 new cases in the United States in 2024.(1) The dismal 5-year survival rate of 12% is largely due to late-stage diagnosis.(2) However, early detection rates and improved outcomes may be possible by targeted approaches for high-risk individuals (HRI) with certain genetic and family risk factors for pancreatic cancer.(3-7) This article outlines a practical approach to PDAC surveillance in clinical settings, focusing on identifying and monitoring HRI for early PDAC. We synthesize current recommendations for surveillance (Table 1) and detail lifetime PDAC risk by gene, alongside associated cancers in major hereditary syndromes (Table 2), to guide physicians in optimizing early detection and management strategies.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.