Value of PET/CT Radiomics Combined with Machine Learning in Differentiating Primary Central Nervous System Lymphoma from Brain Metastases
10.11969/j.issn.1673-548X.2025.07.018
- VernacularTitle:PET/CT影像组学联合机器学习鉴别诊断原发性中枢神经系统淋巴瘤与脑转移瘤的价值
- Author:
Jingyu FU
1
;
Yuxi ZHANG
1
;
Fan YANG
1
Author Information
1. 730030 兰州大学第二医院核医学科
- Publication Type:Journal Article
- Keywords:
PET/CT;
Radiomic;
Primary central nervous system lymphoma;
Brain metastases
- From:
Journal of Medical Research
2025;54(7):96-102
- CountryChina
- Language:Chinese
-
Abstract:
Objective This study aimed to investigate the value of PET/CT radiomics combined with machine learning in differentia-ting primary central nervous system lymphoma(PCNSL)from brain metastases(BM).Methods Sixty-nine patients with 127 lesions(including 43 PCNSL lesions and 84 BM lesions)who attended the Department of Nuclear Medicine of Lanzhou University Second Hospi-tal from January 2019 to November 2024 were selected and divided into a training set(n=88)and a validation set(n=39)in a 7∶3 rati-o.Radiomics features of PET and CT were extracted using the 3D slicer,and feature dimensionality reduction was performed using least absolute shrinkage and selection operator(LASSO)regression combined with 5-fold cross-validation to construct three classical machine learning models-Logistic regression(LR),decision tree(DT),and support vector machine(SVM),and the diagnostic efficacy of each model was evaluated using receiver operating characteristic(ROC)curves and confusion matrices.Results The SVM model based on PET imaging performed best in the validation set[area under the curve(AUC)=0.917,sensitivity=84.6％,specificity=92.3％]and was significantly better than the CT model(AUC=0.787,sensitivity=73.1％,specificity=76.9％).Conclusion The support vector machine model constructed based on PET radiomics metabolic features demonstrated high diagnostic value in the preoperative differentia-tion between PCNSL and BM,showing potential for clinical application as a non-invasive auxiliary diagnostic tool.
