Evidence map›Paper›PMID 42310037›Full record

ArticleEuropean radiology2026

MRI-based assessment of tumor aggressiveness in nasopharyngeal carcinoma: risk stratification and survival prediction.

Fan Yang, Haoran Wei, Michael Iv, Ya Zhang, Sai Wang, Xiaolu Li, Xiaoduo Yu, Lin Li, Yanfeng Zhao, Dehong Luo and 2 more

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In one paragraph

Article in European radiology, 2026. 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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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Fan Yang *Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Haoran Wei *Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Michael IvDepartment of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford University Medical Center, Stanford, CA, USA.
Ya ZhangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Sai WangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaolu LiDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaoduo YuDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lin LiDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yanfeng ZhaoDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dehong LuoDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Meng LinDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. lm152@139.com.
Hongmei ZhangDepartment of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 13581968865@163.com.ORCID http://orcid.org/0000-0002-6421-4126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMRI can reveal the signal characteristics and invasive potential of tumors. Our study aimed to explore the potential of MRI-identified primary tumor aggressiveness-related factors in nasopharyngeal carcinoma (NPC). MATERIALS AND

methodsThis study retrospectively included patients with NPC from three institutes, and a prospective cohort was also included. A total of 12 imaging factors were evaluated in each patient. Univariate and multivariable Cox analyses were used to explore its predictive value. The model performance was calculated and compared, and Kaplan-Meier curves were used to compare survival outcomes.

resultsThis study included 505 patients (mean age, 49.1 years, 384 males; Training cohort: 311; validation cohorts: 74, 68, and 52). Three imaging factors (Radiological depth, Tumor growth type, and Expanded enhancement area) were selected to construct the I-score. The median value of I-score was 8 (interquartile range: 5, 9), and there was no significant difference among the three cohorts (p = 0.866). The performance of the I-score (C-index: 0.693-0.753) was significantly higher than that of the Clinic model (p < 0.05) and TNM stage (p < 0.05). The similar results were found in validation cohorts 1, 2, and 3 (I-score: 0.672-0.752, 0.665-0.719, and 0.676-0.763). The 5-fold cross-validation (iteration = 1000) also showed robust results. The high-risk group identified by I-score had significantly worse survival compared with the low-risk group in four cohorts (all p < 0.05).

conclusionRadiological depth, tumor growth type, and expanded enhancement area are crucial factors in the risk stratification for NPC. KEY POINTS: Question Can the MRI features of the primary tumor predict prognosis in patients with nasopharyngeal carcinoma? Findings Critical MRI features of primary tumor, including Radiological depth, Tumor growth type, and expanded enhancement area, serve as significant predictors of long-term survival in nasopharyngeal carcinoma. Clinical relevance In this retrospective study of 505 patients across four independent cohorts, the I-score constructed by Radiological depth, Tumor growth type, and Expanded enhancement area showed high performance in prognosis prediction, potentially supporting individualized therapy decision-making.

Indexed as

Magnetic resonance imagingNasopharyngeal carcinomaPrognosisTreatment outcome

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.