An MRI Radiogenomic Signature to Characterize the Transcriptional Heterogeneity Associated with Prognosis and Biological Functions in Glioblastoma

A prognostic radiogenomic signature was established and verified to characterize transcriptional subclones with underlying biological functions in glioblastoma.

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Publication Details

Journal
Frontiers in Bioscience-Landmark
Published
2025-03-19
DOI
https://doi.org/10.31083/fbl36348
Citations
12
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
16.32
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article

An MRI Radiogenomic Signature to Characterize the Transcriptional Heterogeneity Associated with Prognosis and Biological Functions in Glioblastoma

Hailin Tang, Guoxian Huang, Zhuoya Yi, Jie Zhu et al.
12 citations
Frontiers in Bioscience-Landmark
Radiomics and Machine Learning in Medical Imaging
16.32
article

An MRI Radiogenomic Signature to Characterize the Transcriptional Heterogeneity Associated with Prognosis and Biological Functions in Glioblastoma

Hailin Tang, Guoxian Huang, Zhuoya Yi, Jie Zhu, Huan Zhang, Xiaoqing Zhang, Huijiao Cao, Xiaoyu Zhang
article en
12 citations

Abstract

A prognostic radiogenomic signature was established and verified to characterize transcriptional subclones with underlying biological functions in glioblastoma.

Frontiers in Bioscience-LandmarkVol. 30(3)
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
Good health and well-being
Openalex Percentile: Top 1%
Radiomics and Machine Learning in Medical Imaging
16.32
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