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Dynamic contrast-enhanced and diffusion-weighted MR imaging for predicting tumor growth of sporadic vestibular schwannomas: A prospective study

Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Advanced 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. METHODS: In 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. RESULTS: Of 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). CONCLUSIONS: The 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.
Language: English
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $5,389
OpenAlex ID: W4404646252
FWCI: 1.605
Cites: 45
Cited by: 7
Related to: 10