病理组学在头颈部肿瘤中的研究进展

doi:10.3760/cma.j.cn371439-20230111-00059

摘要/Abstract

摘要：

病理组学将数字化病理学和人工智能相融合，通过提取、筛选和分析病理图片中蕴含的数据特征，对肿瘤的诊断、治疗和预后进行评估。近年来，越来越多的病理组学研究在头颈部肿瘤的计算机辅助诊断、肿瘤微环境和生物标志物识别以及预后评估等方面显示出巨大的价值，未来有望为辅助临床决策、实现头颈部肿瘤的精准治疗发挥重要的作用。

关键词: 头颈部肿瘤, 诊断, 预后, 病理组学

Abstract:

Pathomics， the integration of digital pathology and artificial intelligence， is used to assess tumor diagnosis， treatment and prognosis by extracting， screening and analyzing the data features contained in pathological pictures. In recent years， more and more pathomics studies of head and neck neoplasms have shown great value in the areas of computer-assisted diagnosis， tumor microenvironment and biomarker identification as well as prognosis evaluation. It is expected to play an important role in clinical assistance and precise treatment of head and neck neoplasms in the future.

Key words: Head and neck neoplasms, Diagnosis, Prognosis, Pathomics

鞠逸凡, 徐晨阳, 雷大鹏. 病理组学在头颈部肿瘤中的研究进展[J]. 国际肿瘤学杂志, 2023, 50(5): 294-298.

Ju Yifan, Xu Chenyang, Lei Dapeng. Research progress of pathomics in head and neck neoplasms[J]. Journal of International Oncology, 2023, 50(5): 294-298.

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