Inflencing Factors for Pulmonary Nodular Growth Predicted by Artificial Intelligence-based Follow-up

• Published in: Zhongguo quanke yixue Vol. 25; no. 17; pp. 2115 - 2120
• Main Author: Jiuchun WU, Tian LI, Xiaodong LI, Yue ZHUO, Yujiao ZHANG, Jingyu LIU
• Format: Journal Article
• Language: Chinese
• Published: Chinese General Practice Publishing House Co., Ltd 01.06.2022
• Subjects: pulmonary nodule|artificial intelligence|lung neoplasms|ground glass nodule|follow-up|risk factors
• ISSN: 1007-9572
• DOI: 10.12114/j.issn.1007-9572.2022.0005

Background Lung cancer ranks first in terms of incidence and mortality rates among cancers, with a 5-year survival rate of less than 20%. Many ways have been used to screen for early lung cancer, among which artificial intelligence (AI) has greatly improved the detection rate. However, how to use AI technologies to effectively manage atypical lung nodules to timely find early lung cancer, and to identify associated factors of lung nodule growth, which is an issue significantly associated with the guidance of clinical management of lung nodules. Objective To investigate the influencing factors of pulmonary nodules growth identified by AI-based follow-up and relevant clinical value. Methods A total of 175 patients with pulmonary nodules admitted to the Third Affiliated Hospital of Jinzhou Medical University in April 2019 were selected for a retrospective study. General clinical data, and AI-based analysis of imaging information related to pulmonary nodules was collected. The growth of pulmonary nodules〔solid no