Clinical Value of Radiomics Analysis of a 2cm Pericavitary Edema Habitat in Predicting Recurrence in Postoperative Glioma Patients

Motivation: Accurate prognosis prediction for postoperative glioma patients is challenging due to tumor heterogeneity in the pericavitary edema zone. Goal(s): To develop model integrating habitat imaging and radiomic features of the 2cm pericavitary edema zone to predict prognosis in glioma patients. Approach: Multimodal MRI was used to perform habitat imaging analysis on the pericavitary edema zone. K-means clustering divided the region into habitat subregions. Radiomic features from these subregions were extracted and combined with clinical factors to build predictive models. Results: The high-risk habitat model showed superior predictive performance over traditional radiomic and clinical models, with higher efficiency in both training and validation groups. Impact: This study introduces a novel method to visualize and quantify tumor heterogeneity in the pericavitary edema zone, improving prognosis prediction for postoperative glioma patients and aiding clinicians in precisely delineating radiotherapy target volumes.

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/10.58530/2025/2551
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Clinical Value of Radiomics Analysis of a 2cm Pericavitary Edema Habitat in Predicting Recurrence in Postoperative Glioma Patients

Mengyu Cheng, Zhi­qun Wang
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

Clinical Value of Radiomics Analysis of a 2cm Pericavitary Edema Habitat in Predicting Recurrence in Postoperative Glioma Patients

Mengyu Cheng, Zhi­qun Wang
article en

Abstract

Motivation: Accurate prognosis prediction for postoperative glioma patients is challenging due to tumor heterogeneity in the pericavitary edema zone. Goal(s): To develop model integrating habitat imaging and radiomic features of the 2cm pericavitary edema zone to predict prognosis in glioma patients. Approach: Multimodal MRI was used to perform habitat imaging analysis on the pericavitary edema zone. K-means clustering divided the region into habitat subregions. Radiomic features from these subregions were extracted and combined with clinical factors to build predictive models. Results: The high-risk habitat model showed superior predictive performance over traditional radiomic and clinical models, with higher efficiency in both training and validation groups. Impact: This study introduces a novel method to visualize and quantify tumor heterogeneity in the pericavitary edema zone, improving prognosis prediction for postoperative glioma patients and aiding clinicians in precisely delineating radiotherapy target volumes.

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 65%
Radiomics and Machine Learning in Medical Imaging
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