Pancreatic Cancer Imaging: A New Look at an Old Problem

Research output: Contribution to journalArticlepeer-review

Abstract

Computed tomography is the most commonly used imaging modality to detect and stage pancreatic cancer. Previous advances in pancreatic cancer imaging have focused on optimizing image acquisition parameters and reporting standards. However, current state-of-the-art imaging approaches still misdiagnose some potentially curable pancreatic cancers and do not provide prognostic information or inform optimal management strategies beyond stage. Several recent developments in pancreatic cancer imaging, including artificial intelligence and advanced visualization techniques, are rapidly changing the field. The purpose of this article is to review how these recent advances have the potential to revolutionize pancreatic cancer imaging.

Original languageEnglish (US)
JournalCurrent Problems in Diagnostic Radiology
DOIs
StateAccepted/In press - 2020

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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