The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
Curr Probl Diagn Radiol. 2021 Jul-Aug;50(4):540-550. doi: 10.1067/j.cpradiol.2020.08.002. Epub 2020 Aug 26.
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.
计算机断层扫描是最常用于检测和分期胰腺癌的成像方式。以前在胰腺癌成像方面的进展主要集中在优化图像采集参数和报告标准上。然而,目前最先进的成像方法仍然误诊一些潜在可治愈的胰腺癌,并且不能提供预后信息或提供除分期以外的最佳管理策略。胰腺癌成像领域的一些最新进展,包括人工智能和先进的可视化技术,正在迅速改变这一领域。本文的目的是回顾这些最新进展如何有可能彻底改变胰腺癌成像。