Research progress on the predictive value of artificial intelligence in pulmonary nodules with spread through air space
- VernacularTitle:人工智能对肺结节合并气腔播散预测价值的研究进展
- Author:
Xianpu NING
1
;
Weishuang KONG
1
;
Zujun HUANG
1
;
Xun LIANG
1
;
Dinglun WANG
1
;
Libo XIA
1
Author Information
1. Xuanwei Hospital Affiliated to Yunnan University of Chinese Medicine, Xuanwei, 655400, Yunnan, P. R. China
- Publication Type:Journal Article
- Keywords:
Lung nodules;
spread through air space;
radiological features;
artificial intelligence;
review
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2025;32(11):1649-1654
- CountryChina
- Language:Chinese
-
Abstract:
With the widespread adoption of lung cancer screening, an increasing number of patients are being diagnosed with early-stage lung adenocarcinoma. For stage ⅠA lung adenocarcinoma, sublobar resection is the primary treatment approach. However, in patients with concomitant spread through air space (STAS), numerous studies advocate for lobectomy as the mainstay of treatment. Due to the limitations in preoperative prediction and intraoperative frozen section evaluation for assessing STAS, current research is largely restricted to using clinical and imaging features to predict STAS occurrence, with results that are inconsistent and unsatisfactory. Furthermore, most studies focus on individual clinical or imaging characteristics, and there is a lack of large-sample investigations. The rise of artificial intelligence in recent years has provided new insights into solving this problem, and existing studies have shown that artificial intelligence demonstrates better performance in STAS prediction compared to conventional methods. This article reviews the value of artificial intelligence in predicting STAS.
