孤立性肺结节风险预测模型的研究进展  

Research progress on risk prediction models of solitary pulmonary nodules

作　　者：王定瑞 解桢[1] 刘帅[1] 胡浩浩 黄成 WANG Dingrui;XIE Zhen;LIU Shuai;HU Haohao;HUANG Cheng(Thoracic Surgery Department,Binzhou Medical University Hospital,Binzhou 256603,China)

机构地区：[1]滨州医学院附属医院胸外科,山东滨州256603

出　　处：《临床医学研究与实践》2025年第4期191-194,共4页Clinical Research and Practice

摘　　要：随着低剂量计算机断层扫描(LDCT)的广泛应用,越来越多的孤立性肺结节(SPN)被检出。因此,建立一个准确、高效的预测模型对SPN的评估极其重要。本文总结了国内外经典预测模型及预测模型在放射组学、液体活检及人工智能领域的最新研究进展,并分析这些模型的优缺点以及应用价值,旨在为SPN的临床诊疗及研究前景提供有价值的参考。With the wide application of low-dose computed tomography(LDCT),more and more solitary pulmonary nodules(SPN)have been detected.Therefore,it is extremely important to establish an accurate and efficient prediction model for the evaluation of SPN.This paper summarizes the latest research progress of classical prediction models and prediction models in the fields of radiomics,liquid biopsy and artificial intelligence at home and abroad,and analyzes the advantages,disadvantages and application value of these models,aiming to provide valuable reference for the clinical diagnosis,treatment and research prospects of SPN.

关 键 词：孤立性肺结节 预测模型 液体活检 人工智能 放射组学 

分 类 号：R445[医药卫生—影像医学与核医学]