Prognostic value of relative enhancement metrics based on preconcurrent chemoradiotherapy magnetic resonance imaging (pre-CCRT MRI) volumetric segmentation in glioblastoma
- 1Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
- 2Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland; Department of Neurology, University of Eastern Finland, Finland.
- 3Department of Neurosugery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
- 0Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Relative contrast enhancement (rCE) from pre-treatment MRI can predict glioblastoma progression and survival. Higher rCE levels are linked to shorter progression-free survival and overall survival, aiding personalized treatment strategies.
Area Of Science
- Neuro-oncology
- Radiology
- Medical Imaging
Background
- Glioblastoma (GBM) poses significant challenges in predicting treatment response and patient survival.
- Accurate prediction of tumor progression and survival outcomes is crucial for effective patient management.
Purpose Of The Study
- To evaluate the impact of relative contrast enhancement (rCE) on predicting tumor progression and survival in GBM patients.
- To assess the utility of volumetric segmentation-based rCE from pre-chemoradiotherapy MRI as a prognostic biomarker.
Main Methods
- Seventy-seven GBM patients underwent MRI before and after chemoradiotherapy.
- Relative contrast enhancement (rCE) was calculated using volumetric segmentation of residual cavity wall enhancement.
- Multivariable logistic regression and Kaplan-Meier analyses were used to identify predictors of survival and compare outcomes.
Main Results
- Higher rCE (≥1.265), older age, nodular/thick linear enhancement, and larger lesion size predicted tumor progression.
- Higher rCE was an independent predictor of shorter progression-free survival (HR=4.829) and overall survival (HR=3.792).
- A combined model including rCE achieved 79.6% accuracy in predicting shorter overall survival.
Conclusions
- Pre-treatment rCE, derived from volumetric segmentation, shows potential in predicting GBM progression and survival.
- rCE may serve as a practical imaging biomarker for guiding personalized precision treatment in GBM.
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