1 Department of Radiology, Division of Abdominal Imaging and Intervention, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114.
AJR Am J Roentgenol. 2018 Jul;211(1):52-66. doi: 10.2214/AJR.17.18665. Epub 2018 Apr 9.
The purpose of this article is to discuss the advances in CT acquisition and image postprocessing as they apply to imaging the pancreas and to conceptualize the role of radiogenomics and machine learning in pancreatic imaging.
CT is the preferred imaging modality for assessment of pancreatic diseases. Recent advances in CT (dual-energy CT, CT perfusion, CT volumetry, and radiogenomics) and emerging computational algorithms (machine learning) have the potential to further increase the value of CT in pancreatic imaging.
本文旨在讨论 CT 采集和图像后处理技术在胰腺成像方面的进展，并探讨放射组学和机器学习在胰腺成像中的作用。
CT 是评估胰腺疾病的首选影像学方法。CT 的最新进展（双能 CT、CT 灌注、CT 容积测量和放射组学）和新兴的计算算法（机器学习）有可能进一步提高 CT 在胰腺成像中的价值。
