医学
胰腺癌
阶段(地层学)
模态(人机交互)
癌症
放射科
医学物理学
计算机断层摄影术
医学影像学
人工智能
内科学
计算机科学
生物
古生物学
作者
Linda C. Chu,Seyoun Park,Satomi Kawamoto,Alan Yuille,Ralph H. Hruban,Elliot K. Fishman
标识
DOI:10.1067/j.cpradiol.2020.08.002
摘要
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.
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