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August 20, 2025PeerJOpen Access

Survival prediction in gliomas based on MRI radiomics combined with clinical factors and molecular biomarkers

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Authors

MHMin HaoBinzhou Medical UniversityJYJunyu YanDignity HealthXWXiaochun WangShanxi Medical University

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Implication

Research demonstrates strong OS prediction in glioma patients, highlighting radiomics and molecular biomarkers for risk stratification.

Key Points

  • The radiomics signature significantly predicts overall survival in glioma patients, indicating strong prognostic capability.
  • Kaplan-Meier survival analysis showed that the model stratifies patients into high-risk and low-risk groups effectively.
  • An integrated model with clinical factors and molecular biomarkers yielded C-index values ranging from 0.750 to 0.774 across cohorts.
  • Robust assessment of survival prognosis may improve treatment decisions for glioma patients based on risk stratification.

Cite This Study

Hao et al. (2025) studied this question.

synapsesocial.com/papers/68af55d8ad7bf08b1eadc7f9https://doi.org/10.7717/peerj.19906
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Radiomics: Images Are More than Pictures, They Are Data2015 · 8,647 citations
  2. 2Prognostic factors and outcomes in anaplastic gliomas: An institutional experience2018 · 7 citations
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  5. 5IDH-wildtype lower-grade diffuse gliomas: the importance of histological grade and molecular assessment for prognostic stratification2020 · 139 citations