ArticleImaging neuroscience (Cambridge, Mass.)2025
Detecting glioblastoma infiltration beyond conventional imaging tumour margins using MTE-NODDI.
Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Neurite orientation dispersion and density imaging in stroke: current applications, limitations, and future directions.Frontiers in human neuroscience · 2026Review
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Authors and funding
17 authors.
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Abstract
Glioblastoma (GBM) is the most common and aggressive brain tumour with starkresistance to available therapies, leading to relapse and a median survival of<15 months. A key cause of therapy resistance is diffuse infiltration oftumour cells into brain regions surrounding the tumour, which presents a majorclinical challenge as existing imaging techniques offer limited detection of theresectable margin. Here, we use diffusion weighted imaging (DWI) and apply themultiple echo time neurite orientation dispersion and density imaging(MTE-NODDI) model as a tool to detect tumour cells in the hard-to-distinguishmargin. We used the G144 patient-derived xenograft model, with characteristicinvasion along white matter tracts, in combination with MTE-NODDI. Tumourdevelopment was monitored, and magnetic resonance imaging (MRI) data wereacquired over a 4-week period, starting at 4 weeks after stereotactic injectionof tumour cells. MTE-NODDI demonstrated sensitivity to the developing tumour inthe invading margin, and changes in measured parameters were apparent from 6weeks after injection. In comparison to standard DWI, MTE-NODDI showed increasedsensitivity to the tumour-associated changes in the margin. Furthermore,extraneurite volume fraction (
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