Prognostic value of relative enhancement metrics based on preconcurrent chemoradiotherapy magnetic resonance imaging (pre-CCRT MRI) volumetric segmentation in glioblastoma

  • 0Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.

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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.