Radiomic profiling for IDH-mutant astrocytoma stratification with distinct biologic pathway activities

Motivation: Recent studies highlight the challenge of interpreting radiomic phenotypes biologically. Goal(s): To develop a radiomic model for prognostic prediction in IDH-mutant astrocytoma patients and to elucidate the underlying biological mechanisms. Approach: We used preoperative MRI-derived radiomic features to create and validate a Radscore for predicting overall survival in IDH-mutant astrocytomas. Validation included paired MRI and RNA-seq data, with Gene Set Enrichment Analysis and Weighted Gene Co-expression Network Analysis identifying key biological pathways linked to the Radscore and individual prognostic features. Results: Radscore is an independent prognostic factor. Four categories of pathways were significantly associated with radiomic features. Impact: Our study introduces a prognostic Radscore for non-invasive stratification of IDH-mutant astrocytomas. This score is informed by biological pathways associated with immunity, proliferation, cell function, and treatment response, thereby supporting targeted therapies and personalized management.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0987
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Radiomic profiling for IDH-mutant astrocytoma stratification with distinct biologic pathway activities

Kaiyu Wang, Jing Yan, Chaoli Zhang
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Glioma Diagnosis and Treatment
article

Radiomic profiling for IDH-mutant astrocytoma stratification with distinct biologic pathway activities

Kaiyu Wang, Jing Yan, Chaoli Zhang
article en

Abstract

Motivation: Recent studies highlight the challenge of interpreting radiomic phenotypes biologically. Goal(s): To develop a radiomic model for prognostic prediction in IDH-mutant astrocytoma patients and to elucidate the underlying biological mechanisms. Approach: We used preoperative MRI-derived radiomic features to create and validate a Radscore for predicting overall survival in IDH-mutant astrocytomas. Validation included paired MRI and RNA-seq data, with Gene Set Enrichment Analysis and Weighted Gene Co-expression Network Analysis identifying key biological pathways linked to the Radscore and individual prognostic features. Results: Radscore is an independent prognostic factor. Four categories of pathways were significantly associated with radiomic features. Impact: Our study introduces a prognostic Radscore for non-invasive stratification of IDH-mutant astrocytomas. This score is informed by biological pathways associated with immunity, proliferation, cell function, and treatment response, thereby supporting targeted therapies and personalized management.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Glioma Diagnosis and Treatment
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Radiomic profiling for IDH-mutant astrocytoma stratification with distinct biologic pathway activities — Kaiyu Wang, Jing Yan, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS