Presurgical Tumor and Habitat MRI-based Radiomics Features for Predicting Post-Surgical Recurrence of Glioma

Motivation: Accurate preoperative prediction of glioma post-surgery recurrence holds pivotal clinical importance for guiding clinical therapy. Goal(s): Explore the presurgical tumor and habitat MRI-based radiomics features to identify key biomarkers for the surgical recurrence of glioma. Approach: 103 glioma patients who underwent preoperative T1-CE and T2WI MRI were prospectively included. Three habitats were identified and radiomics features were extracted, prediction models for recurrence were constructed, model performance was evaluated. Results: The habitat 2 with a higher volume ratio in recurrence gliomas exhibits a stronger relation to post-surgical recurrence. The combined model of three habitats shows more excellent predictive performance than the whole tumor model. Impact: The presurgical habitat-based radiomics model may facilitate clinicians in deciding whether to undergo the surgical resection of glioma, thus giving a patient-tailored decision.

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/10.58530/2025/0082
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Presurgical Tumor and Habitat MRI-based Radiomics Features for Predicting Post-Surgical Recurrence of Glioma

Qi Ouyang, Ping Liu, Guihua Jiang
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
Radiomics and Machine Learning in Medical Imaging
article

Presurgical Tumor and Habitat MRI-based Radiomics Features for Predicting Post-Surgical Recurrence of Glioma

Qi Ouyang, Ping Liu, Guihua Jiang
article en

Abstract

Motivation: Accurate preoperative prediction of glioma post-surgery recurrence holds pivotal clinical importance for guiding clinical therapy. Goal(s): Explore the presurgical tumor and habitat MRI-based radiomics features to identify key biomarkers for the surgical recurrence of glioma. Approach: 103 glioma patients who underwent preoperative T1-CE and T2WI MRI were prospectively included. Three habitats were identified and radiomics features were extracted, prediction models for recurrence were constructed, model performance was evaluated. Results: The habitat 2 with a higher volume ratio in recurrence gliomas exhibits a stronger relation to post-surgical recurrence. The combined model of three habitats shows more excellent predictive performance than the whole tumor model. Impact: The presurgical habitat-based radiomics model may facilitate clinicians in deciding whether to undergo the surgical resection of glioma, thus giving a patient-tailored decision.

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 63%
Radiomics and Machine Learning in Medical Imaging
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Presurgical Tumor and Habitat MRI-based Radiomics Features for Predicting Post-Surgical Recurrence of Glioma — Qi Ouyang, Ping Liu, 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