Radiomics is a relatively new approach for image analysis. As a part of radiomics, texture analysis, which consists in extracting a great amount of quantitative data from original images, can be used to identify specific features that can help determining the actual nature of a pancreatic lesion and providing other information such as resectability, tumor grade, tumor response to neoadjuvant therapy or survival after surgery. In this review, the basic of radiomics, recent developments and the results of texture analysis using computed tomography and magnetic resonance imaging in the field of pancreatic tumors are presented. Future applications of radiomics, such as artificial intelligence, are discussed.

Radiomics是一种相对较新的图像分析方法。作为放射线学的一部分，纹理分析包括从原始图像中提取大量定量数据，可用于识别有助于确定胰腺病变的实际性质并提供其他信息（如可切除性，肿瘤）的特定特征。级别，肿瘤对新辅助治疗的反应或术后生存率。在这篇综述中，介绍了放射学的基本知识，最新进展以及在胰腺肿瘤领域中使用计算机断层扫描和磁共振成像进行纹理分析的结果。讨论了放射学的未来应用，例如人工智能。