%0 Journal Article
%T 病理组学技术在肺癌诊疗和预后评估中的应用与挑战
The Application and Challenges of Histopathology Techniques in the Diagnosis, Treatment, and Prognostic Evaluation of Lung Cancer
%A 应凤
%A 李升锦
%J Advances in Clinical Medicine
%P 892-899
%@ 2161-8720
%D 2025
%I Hans Publishing
%R 10.12677/acm.2025.152423
%X 在精准医疗时代，肺癌患者的治疗方案制定高度依赖于精确的病理诊断和预后评估。近年来，全切片成像技术与人工智能的迅速发展极大地推动了病理组学技术的进步。病理组学在肺癌病理图像分析中，尤其是在肿瘤区域识别、预后预测、肿瘤微环境表征等方面展现出巨大的潜力。本文回顾了病理组学在肺癌诊疗及预后评估领域的最新研究进展，分析了其在当前应用中的局限，并对病理组学的未来发展方向进行了展望。
In the era of precision medicine, the treatment plans for lung cancer patients heavily rely on accurate pathological diagnosis and prognostic evaluation. In recent years, the rapid development of whole-slide imaging technology and artificial intelligence has significantly advanced the progress of pathological histology technology. Pathomics has shown great potential in the analysis of lung cancer pathological images, especially in tumor region identification, prognostic prediction, and tumor microenvironment characterization. This article reviews the latest research developments in the field of pathomics for lung cancer diagnosis, treatment, and prognostic evaluation, analyzes its limitations in current applications, and provides an outlook on the future direction of pathomics.
%K 肺癌，
%K 病理组学，
%K 人工智能，
%K 诊断，
%K 预后
Lung Cancer
%K Pathomics
%K Artificial Intelligence
%K Diagnosis
%K Prognosis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=107897