Recent advancements in digital pathology and lung cancer: a review
10.3760/cma.j.cn112434-20240319-00079
- VernacularTitle:数字病理学与肺癌研究进展
- Author:
Qiji GUO
1
;
Ziyun SHEN
;
Chunyan WU
;
Gening JIANG
;
Peng ZHANG
Author Information
1. 同济大学附属上海市肺科医院胸外科，上海 200433
- From:
Chinese Journal of Thoracic and Cardiovascular Surgery
2024;40(7):423-429
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer, one of the most prevalent cancer types globally, underscores the critical importance of early detection and precise diagnosis in its management. However, conventional pathological diagnostic methods encounter various limitations, including the intricacies of the diagnostic process and the challenges in achieving uniform results. In contrast to traditional pathology, digital pathology integrates digitized pathological information with artificial intelligence, and offers a pathway for rapid and accurate diagnostic assistance. It holds the potential to delve into the tumor characteristics and microenvironment information, thereby supporting precision diagnosis and treatment for lung cancer. This article elucidates the recent applications of digital pathology in lung cancer diagnosis, staging, treatment, and prognosis. Additionally, it addresses the challenges currently faced by digital pathology.
