MRI-based model for individualized prediction of skull bone destruction and EBV DNA-related risk stratification in nasopharyngeal carcinoma patients

基于MRI的鼻咽癌患者颅骨破坏个体化预测及EBV DNA相关风险分层模型

阅读:1

Abstract

BACKGROUND: This study aimed to develop an MRI-based radiomics score (MRscore) derived from CE-T1WI and T2WI sequences for predicting skull bone destruction in patients with nasopharyngeal carcinoma (NPC), and to evaluate its performance across EBV DNA and sex subgroups. METHODS: This retrospective study included 175 patients with histologically confirmed NPC who underwent baseline MRI. Radiomic features were extracted from CE-T1WI and T2WI sequences. Least absolute shrinkage and selection operator (LASSO) logistic regression was used for feature selection and MRscore construction. Receiver operating characteristic (ROC) analysis was used to assess model performance, and subgroup analyses were conducted based on plasma EBV DNA levels and sex. Cutoff stability was evaluated using bootstrap resampling. RESULTS: Nine radiomic features were selected to construct the MRscore. The model showed good predictive performance for skull bone destruction with an AUC of 0.844. Subgroup analysis demonstrated consistent performance in both EBV DNA-high (AUC = 0.880) and low (AUC = 0.810) groups, as well as in male (AUC = 0.853) and female (AUC = 0.812) patients. The MRscore cutoff value remained stable across bootstrapped samples, and precision–recall curves supported its robustness under class imbalance. CONCLUSIONS: The MRscore provides a non-invasive, individualized tool for predicting skull bone destruction in NPC, demonstrating stable performance across EBV DNA and sex subgroups. These results support its potential role in risk stratification and personalized treatment planning. CLINICAL TRIAL NUMBER: Not applicable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12880-025-02034-z.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。