影像科学与光化学2024，Vol.42Issue(5)：459-470,12.DOI:10.7517/issn.1674-0475.2024.05.08
基于超声影像组学对痛风性关节炎急性发作的预测及与炎症因子水平的关系
Prediction of Acute Attack of Gouty Arthritis Based on Ultrasound Radiomics and Its Relationship with the Levels of Inflammatory Factors
摘要
Abstract
Objective:To explore the prediction of acute attack of gouty arthritis based on ultrasound radiomics,and analyze its relationship with the levels of inflammatory factors.Methods:The ultrasonic imaging data and serum inflammatory factor levels of 138 patients with gouty arthritis who were treated in our hospital from July 2022 to October 2023 were retrospectively collected and divided into the training set(96 cases)and the test set(42 cases)with a ratio of 7:3 by using computer-generated random number method.The patients in the training set were divided into acute attack group(39 cases)and non-acute attack group(57 cases)according to whether they had acute attack or not.By comparing the general data of the two groups of patients,the features were extracted from the ultrasound images by means of radiomics methods,and the prediction model was further established by machine learning algorithm.Receiver operating characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate and measure the predictive efficacy of the model.At the same time,the levels of inflammatory factors were detected.Through correlation analysis,the relationship between the levels of inflammatory factors and ultrasonic image features was discussed.Results:Univariate analysis showed significant differences in age,total bilirubin,blood glucose,high uric acid level,interferon-γ(IFN-γ),transforming growth factor-β(TGF-β),creatinine,tumor necrosis factor-α(TNF-α),blood urea nitrogen,triglyceride,total cholesterol,platelet count,ultrasound findings and ultrasound scores,with statistical significance(P＜0.05).The results of multivariate analysis showed that age,total bilirubin,blood glucose,high uric acid level,TGF-β,IFN-γ,TNF-α,ultrasound manifestations(double track sign,synovitis),ultrasound scores(synovial lesions,synovial blood flow signals,bone erosion,joint capsule material deposition)were the influencing factors of acute attack in patients with gouty arthritis(P＜0.05).Five radiomic features were identified(ICC and 95％CI＞0.800),without acute group and the differences in acute group significantly(P＜0.05).ROC curves,calibration curves and decision curves of training set and test set models indicate that the model has good differentiation and clinical net benefit.Pearson correlation analysis showed that three inflammatory factors,TGF-β,IFN-y,and TNF-α,were strongly associated with 45 features and 33 features.Conclusion:Ultrasound radiomics can be used as an effective tool to predict the acute attack of gouty arthritis,and it is closely related to the levels of inflammatory factors.关键词
痛风性关节炎/超声影像组学/急性发作/预测/炎症因子Key words
gouty arthritis/ultrasound radiomics/acute attack/prediction/inflammatory factor分类
医药卫生引用本文复制引用
朱晓霞,鲁健,施亚男..基于超声影像组学对痛风性关节炎急性发作的预测及与炎症因子水平的关系[J].影像科学与光化学,2024,42(5):459-470,12.基金项目
2022年度南通市基础科学研究和社会民生科技计划项目(MSZ2022061) （MSZ2022061）
