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September 23, 2025Open Access

Diffusion-weighted imaging and dynamic susceptibility contrast-enhanced perfusion-weighted imaging of the non-enhancing peritumoral region predict overall survival in glioblastoma

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Authors

MXMeilian XiongJKJie KangFYFei Yu

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Overview

Retrospective analysis identifies diffusion-weighted imaging and DSC-PWI parameters as survival predictors in glioblastoma patients, highlighting their clinical relevance.

Key Points

  • Preoperative rADCmin-p and rCBVmax-p in non-enhancing peritumoral regions predict overall survival in glioblastoma patients after surgery.
  • Long-term survivors displayed significantly higher rADCmin-p and lower rCBVmax-p than short-term survivors, implying distinct imaging profiles for survival.
  • The study analyzed data from 61 glioblastoma patients, finding combined models of imaging parameters offered the best predictive power for overall survival.
  • This research emphasizes the potential role of imaging biomarkers in guiding clinical decisions for glioblastoma management.

Cite This Study

Xiong et al. (2025) studied this question.

synapsesocial.com/papers/68d473bb31b076d99fa6cc32https://doi.org/10.21203/rs.3.rs-7532681/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Diffusion-weighted imaging and dynamic susceptibility contrast-enhanced perfusion-weighted imaging of the non-enhancing peritumoural region predict overall survival in glioblastoma.2026
  2. 2Multiparametric MRI with DWI, SWI, and DSC-PWI for preoperative prediction of Ki-67, IDH, and ATRX in adult-type diffuse gliomas2026
  3. 3Optimized Time-Dependent Diffusion MRI for Preoperative Molecular Subtyping of Adult Diffuse Gliomas2026
  4. 4200 DWI and ADC Changes in Patients With Glioblastoma IDH-Wild Type Following Surgical Tumor Resection2024 · 1 citations
  5. 5Contralateral Neurofluid Dynamics Predict Survival in IDH Wild-type Glioblastoma: A DTI-ALPS and Free Water Imaging Study2025 · 5 citations