Empowering low-dose CT for lung cancer screening with artificial intelligence and three-dimensional reconstruction: Technical integration, clinical value, and prospects
- VernacularTitle:人工智能与三维重建协同赋能低剂量螺旋CT肺癌筛查：技术融合、临床价值与展望
- Author:
Jingyi, TANG
1
;
Xiaoli ZHANG
1
;
Meng WANG
1
;
Jue LIU
1
Author Information
1. Shanghai Chest Hospital, Shanghai, 200030, P. R. China
- Publication Type:Journal Article
- Keywords:
Low-dose computed tomography;
lung cancer screening;
artificial intelligence;
three-dimensional reconstruction;
review
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2026;33(07):1043-1049
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer ranks first in morbidity and mortality among malignant tumors in China. Low-dose computed tomography (LDCT), as the primary screening method, faces increasingly prominent challenges of false positives and overdiagnosis associated with its high sensitivity. In recent years, the integration of artificial intelligence (AI) and three-dimensional reconstruction technology has provided a novel approach to addressing these challenges. This review highlights how AI and three-dimensional reconstruction contribute to improving image quality, enabling precise identification of pulmonary nodules and intelligent risk stratification, optimizing dynamic follow-up strategies, and assisting in preoperative planning, thereby driving the transformation of the LDCT screening paradigm. Meanwhile, current technical limitations and future directions are also discussed.
