Advances for Managing Pancreatic Cystic Lesions: Integrating Imaging and AI Innovations

Deniz Seyithanoglu, Gorkem Durak, Elif Keles, Alpay Medetalibeyoglu, Ziliang Hong, Zheyuan Zhang, Yavuz B. Taktak, Timurhan Cebeci, Pallavi Tiwari, Yuri S. Velichko, Cemal Yazici, Temel Tirkes, Frank H Miller, Rajesh N. Keswani, Concetto Spampinato, Michael B. Wallace, Ulas Bagci*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Pancreatic cystic lesions (PCLs) can range from harmless growths to precursors of pancreatic cancer, making accurate diagnosis crucial for patient care. Traditional methods for managing PCLs, such as imaging and biopsies, often depend on the skill of the doctor interpreting the images, leading to variability in diagnosis and treatment. This review highlights the challenges in diagnosing and managing PCLs and discusses the potential for artificial intelligence (AI) to improve accuracy. AI techniques, such as automated image analysis and deep learning algorithms, can provide more consistent and reliable assessments of pancreatic cysts. These tools could help doctors better identify high-risk lesions that need treatment, while avoiding unnecessary procedures for benign cysts. AI-driven methods show promise in improving patient outcomes, offering earlier detection and more precise management, and ultimately helping to prevent pancreatic cancer.

Original languageEnglish (US)
Article number4268
JournalCancers
Volume16
Issue number24
DOIs
StatePublished - Dec 2024

Funding

This research was funded by NIH NCI R01 CA246704. Dr. Tiwari acknowledges the following grants for her efforts: R01CA264017, R01CA277728, VA Merit 1 I01 BX005842-01A2, ICTR Advancing Translational Research & Science (ATRS) Pilot (UL1TR002373), P30CA014520, Wisconsin Alumni Research Foundation Accelerator Oncology Diagnostics Grant (MSN281757), and UW-Madison Radiology R&D Award.

Keywords

  • AI for pancreatic diseases
  • IPMN
  • pancreas imaging
  • pancreatic cancer
  • pancreatic cystic lesions
  • precancerous cysts

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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