Evidence map›Paper›PMID 41286801›Full record

ArticleBMC medical imaging2025

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

Zicong He, Huanhua Wu, Siqin Chen, Shian Yan, Kaiyuan Chen, Hao Huang, Lu Zhang

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Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Zicong He *Department of Radiology, First Affiliated Hospital of Jinan University, Guangzhou, 510627, Guangdong Province, P.R. China.
Huanhua Wu *Department of Nuclear Medicine, Central People's Hospital of Zhanjiang, Zhanjiang, 524045, Guangdong Province, P.R. China.
Siqin Chen *Department of Radiology, First Affiliated Hospital of Jinan University, Guangzhou, 510627, Guangdong Province, P.R. China.
Shian YanDepartment of Nuclear Medicine, Central People's Hospital of Zhanjiang, Zhanjiang, 524045, Guangdong Province, P.R. China.
Kaiyuan ChenDepartment of Nuclear Medicine, Central People's Hospital of Zhanjiang, Zhanjiang, 524045, Guangdong Province, P.R. China.
Hao HuangDepartment of Nuclear Medicine, Central People's Hospital of Zhanjiang, Zhanjiang, 524045, Guangdong Province, P.R. China. 3186852@qq.com.
Lu ZhangDepartment of Radiology, First Affiliated Hospital of Jinan University, Guangzhou, 510627, Guangdong Province, P.R. China. 18009032439@163.com.

Funding

Medical Joint Fund of Jinan University YXZY2024020National Natural Science Foundation of China 82302306Postdoctoral Science Foundation of China 2022M721349Scientific and Technological Planning Project of Foshan City 2420001004035Scientific and Technological Planning Project of Guangzhou City 2025A04J3482
6 · The paper itself

Abstract

backgroundThis 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.

methodsThis 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.

resultsNine 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.

conclusionsThe 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.

Indexed as

DNA, ViralEpstein-Barr Virus InfectionsHerpesvirus 4, HumanMagnetic Resonance ImagingNasopharyngeal CarcinomaNasopharyngeal NeoplasmsSkullAdultFemaleHumansMaleMiddle AgedRadiomicsRetrospective StudiesRisk AssessmentDNA, ViralEpstein–Barr virus DNAMagnetic resonance imagingNasopharyngeal carcinomaRadiomicsSkull bone destruction

Identifiers

PMID41286801
PMCPMC12642380

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