Agostini Andrea, Borgheresi Alessandra, Bruno Federico, Natella Raffaele, Floridi Chiara, Carotti Marina, Giovagnoni Andrea
Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Ancona (AN), Italy.
Department of Radiology, University Hospital "Umberto I - Lancisi - Salesi", Ancona (AN), Italy.
Gland Surg. 2020 Dec;9(6):2283-2294. doi: 10.21037/gs-20-551.
Computed tomography (CT) plays a pivotal role as a diagnostic tool in many diagnostic and diffuse pancreatic diseases. One of the major limits of CT is related to the radiation exposure of young patients undergoing repeated examinations. Besides the standard CT protocol, the most recent technological advances, such as low-voltage acquisitions with high performance X-ray tubes and iterative reconstructions, allow for significant optimization of the protocol with dose reduction. The variety of CT tools are further expanded by the introduction of dual energy: the production of energy-selective images (i.e., virtual monochromatic images) improves the image contrast and lesion detection while the material-selective images (e.g., iodine maps or virtual unenhanced images) are valuable for lesion detection and dose reduction. The perfusion techniques provide diagnostic and prognostic information lesion and parenchymal vascularization and interstitium. Both dual energy and perfusion CT have the potential for pushing the limits of conventional CT from morphological evaluation to quantitative imaging applied to inflammatory and oncological diseases. Advances in post-processing of CT images, such as pancreatic volumetry, texture analysis and radiomics provide relevant information for pancreatic function but also for the diagnosis, management and prognosis of pancreatic neoplasms. Artificial intelligence is promising for optimization of the workflow in qualitative and quantitative analyses. Finally, basic concepts on the role of imaging on screening of pancreatic diseases will be provided.
计算机断层扫描(CT)在许多胰腺疾病的诊断和弥漫性疾病诊断中作为一种诊断工具发挥着关键作用。CT的主要局限性之一与接受重复检查的年轻患者的辐射暴露有关。除了标准CT方案外,最新的技术进展,如使用高性能X射线管的低电压采集和迭代重建,可在降低剂量的情况下对方案进行显著优化。双能技术的引入进一步扩展了CT工具的种类:能量选择性图像(即虚拟单色图像)的产生提高了图像对比度和病变检测能力,而物质选择性图像(如碘图或虚拟平扫图像)对病变检测和降低剂量很有价值。灌注技术可提供有关病变和实质血管化及间质的诊断和预后信息。双能CT和灌注CT都有可能将传统CT的极限从形态学评估推向应用于炎症性和肿瘤性疾病的定量成像。CT图像后处理的进展,如胰腺容积测量、纹理分析和放射组学,不仅为胰腺功能提供了相关信息,也为胰腺肿瘤的诊断、管理和预后提供了信息。人工智能有望优化定性和定量分析的工作流程。最后,将介绍成像在胰腺疾病筛查中的作用的基本概念。