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近年来，人工智能技术的发展推动了影像组学的兴起，使得以纹理分析为代表的人工智能图像分析工具在PET图像分析中得到了广泛关注。纹理分析等影像组学图像特征分析工具可从现有影像学图像数据中提取关于病变组织的丰富信息，从而描述肿瘤特征、判断预后以及预测和评估肿瘤疗效。该文着重综述了纹理分析在PET代谢影像组学中的研究进展、挑战与前景。“,”In recent years, the development of artificial intelligence technology has promoted the rise of radiomics, which makes image analysis tools, especially texture analysis, extensively concerned in image analysis of PET. In the study of radiomics, tools for image feature analysis such as texture analysis can extract rich information about pathological tissues from the imaging data to describe the characteristics of tumors, judge the prognosis, and evaluate the curative effect of tumors. This review mainly summarizes the research status, progress, challenges and foreground of texture analysis in PET metabolic radiomics.