ArticleNeuro-oncology2025
Dynamic contrast-enhanced and diffusion-weighted MR imaging for predicting tumor growth of sporadic vestibular schwannomas: A prospective study.
Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Matrix Metalloproteinase‑9 (MMP-9) Activatable Gold Nanoparticles forACS applied nano materials · 2026Article
- Review
- Angiogenesis PET/MRI predicts initial growth of sporadic vestibular schwannomas: a prospective study with follow-up in 29 patients using [EJNMMI research · 2026Article
- Emerging strategies for the prediction of behaviour, growth, and treatment response in vestibular schwannoma.Acta neurochirurgica · 2025Review
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18 authors.
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Abstract
backgroundAdvanced MR imaging, such as diffusion-weighted (DWI) and dynamic contrast-enhanced (DCE) imaging, may provide valuable noninvasive information on intrinsic tumor biology. This study aims to evaluate apparent diffusion coefficient (ADC) and DCE-MRI-derived microvascular parameter values (Ktrans, ve, and vp) as potential imaging predictors for future sporadic vestibular schwannoma (VS) growth.
methodsIn this prospective cohort study, patients with newly diagnosed unilateral sporadic VS and an initial wait-and-scan strategy were enrolled between January 2021 and January 2023. Patients underwent a single timepoint comprehensive MRI protocol, including DWI and DCE-MRI sequences. The estimated values of ADC, Ktrans, ve, and vp were calculated using established pipelines on a voxelwise basis within the delineated tumor region of interest. Associations of the estimated parameter values with volumetric growth were evaluated in uni- and multivariable logistic regression and survival analyses.
resultsOf the 110 analyzed patients, 70 (64%) exhibited growth during follow-up. A significant correlation was primarily observed between the DCE-MRI-derived parameters and VS growth. The combination of mean Ktrans (P < .001) and ve (P < .001) tumor values provided an internally validated model with an AUC of 0.85 for growth, yielding a sensitivity of 89% and specificity of 73% at the optimized cutoff value. Only the mean ADC values were found to be significantly higher in shrinking tumors (P = .04).
conclusionsThe strongly significant correlation observed between VS growth and Ktrans and ve tumor values indicate the great potential of the noninvasive DCE-MRI for individualized VS management in clinical practice. External validation is needed to further substantiate these findings.
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