摘要病理大切片能够整体、全面地将肿瘤及肿瘤周围组织完整地呈现在一张切片上,有利于对肿瘤及其周围微环境进行全面观察和评估,提高对疾病的全面认识.随着数字化病理的逐步实现及计算病理的进步,利用人工智能将病理大切片中不同肿瘤细胞的形态和周围微环境的病理组织形态与各种不同类型的数据包括影像组学、基因蛋白组学、临床诊疗数据等联系起来,更好地实现胰腺肿瘤的精准及个体化诊疗,这对我国科研工作者来说既是机遇也是挑战.

abstractsLarge pathological sections can display tumors and the para-tumor tissues holistically and completely on one slice, which is beneficial to the whole observation and evaluation of tumors and their surrounding microenvironments, thus gaining a comprehensive understanding about the disease. With the gradual realization of digital pathology and advancement in computational pathology, artificial intelligence has made it possible to achieve accurate and individualized diagnosis and treatment of pancreatic tumors by linking up morphologies of different tumor cells and surrounding microenvironments with various types of data including image omics, gene proteomics and clinical data, which is both an opportunity and a challenge for Chinese researchers.