Exploring a recurrence model for atypical meningioma based on multiparametric MRI radiomic and clinical characteristics: a multicenter retrospective cohort study

Radiomics has additional value for predicting AM tumor recurrence and has favorable predictive performance when combined with clinical features.

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Publication Details

Journal
Radiation Oncology
Published
2025-03-05
DOI
https://doi.org/10.1186/s13014-025-02613-y
Citations
2
Primary Topic
Meningioma and schwannoma management
Type
article
Field-Weighted Citation Impact
2.71

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article

Exploring a recurrence model for atypical meningioma based on multiparametric MRI radiomic and clinical characteristics: a multicenter retrospective cohort study

Fuyou Guo, Qiang Gao, Chengcheng Duan, Shengqi Zhao et al.
2 citations
Radiation Oncology
Meningioma and schwannoma management
2.71
article

Exploring a recurrence model for atypical meningioma based on multiparametric MRI radiomic and clinical characteristics: a multicenter retrospective cohort study

Fuyou Guo, Qiang Gao, Chengcheng Duan, Shengqi Zhao, Dongming Yan, Yanyan Lou, Yuchao Zuo, Dengpan Song, Kaiyuan Zhang, Jing Yan, Qingjie Wei, Fang Wang
article en
2 citations

Abstract

Radiomics has additional value for predicting AM tumor recurrence and has favorable predictive performance when combined with clinical features.

Radiation OncologyVol. 20(1)
Capital Medical University (CN), Zhumadian Central Hospital (CN), First Affiliated Hospital of Henan University of Science and Technology (CN), Beijing Children’s Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Meningioma and schwannoma management
2.71
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Exploring a recurrence model for atypical meningioma based on multiparametric MRI radiomic and clinical characteristics: a multicenter retrospective cohort study — Fuyou Guo, Qiang Gao, et al. · Radiation Oncology (2025) | TGRS Research Map | TGRS