COMBINED DW-MRI AND DW-MRS SENSITIVITY TO GLIOMA TUMOUR MICROENVIRONMENT: A PRELIMINARY STUDY

Abstract AIMS The glioma tumor microenvironment (TME) plays a major role in tumourigenesis of gliomas, encompassing a complex network of cells and biomolecules that contribute to radio-resistance and poor outcomes. Diffusion-weighted (DW) MRI probes tissue microstructure non-invasively with high sensitivity but lacks cel- lular specificity. However, metabolite diffusion-weighted MR spectroscopy (DW-MRS) sensitises MR spectra to diffusion of intracellular metabolites, providing information about specific cellular morphology. Here we com- bine DW-MRI and DW-MRS to non-invasively characterise cell-specific TME changes in patients diagnosed with a spectrum of gliomas. METHODS 10 patients (5 male, mean age 47.7 years, range 22-76 years with newly diagnosed glioma were recruited and imaged on 3T Philips Ingenia CX system following informed consent. DW-MRS analysis: Data were combined per DW condition and averaged over gradient direction for b-value. The LCModel estimates for total NAA (tNAA), total creatine (tCr) and total choline (tCho) were used to calculate the ADC for these metabolites. DW-MRI analysis: NODDI model was fitted to the last two shells (b=711 and b=2500s/mm2) to estimate neurite orientation disperson index, odiNODDI and intra-neurite volume fraction ficvfNODDI. VERDICT model was fitted to b values using in-house Matlab code to obtain: intracellular signal fraction ficvfVERDICT, cell radius RVERDICT, ex- tracellular and extravascular signal fraction feesVERDICT, radial and axial extracellular diffusivities diVERDICT and dhVERDICT. RESULTS Tumour tNAA’s ADC decreased compared to contralateral NAWM suggesting neuronal loss with a trend of de- creasing tNAA’s ADC with increased WHO grade. We also observed increased feesVERDICT, dhVERDICT and decreased ficvfNODDI with WHO grade suggesting TME-specific cellular loss. Tumour tCho’s ADC was slightly increased com- pared to NAWM suggesting glial activation/reaction but was stable across WHO grade. CONCLUSION Combined DW-MRI and DW-MRS measurements potentially offer novel characterization of the glioma TME, essential for understanding mechanisms of radio-resistance and for developing more effective therapies.

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Publication Details

Journal
Neuro-Oncology
Published
2025-09-01
DOI
https://doi.org/10.1093/neuonc/noaf185.084
Citations
1
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.94
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article

COMBINED DW-MRI AND DW-MRS SENSITIVITY TO GLIOMA TUMOUR MICROENVIRONMENT: A PRELIMINARY STUDY

Harpreet Hyare, Jeremy Rees, Elizabeth Powell, Matteo Figini et al.
1 citations
Neuro-Oncology
MicroRNA in disease regulation
0.94
article

COMBINED DW-MRI AND DW-MRS SENSITIVITY TO GLIOMA TUMOUR MICROENVIRONMENT: A PRELIMINARY STUDY

Harpreet Hyare, Jeremy Rees, Elizabeth Powell, Matteo Figini, Marco Palombo, Itamar Ronen, Bernard Siow, Samuel Rot, Laura Panagiotaki, Bhavana Solanky
article en
1 citations

Abstract

Abstract AIMS The glioma tumor microenvironment (TME) plays a major role in tumourigenesis of gliomas, encompassing a complex network of cells and biomolecules that contribute to radio-resistance and poor outcomes. Diffusion-weighted (DW) MRI probes tissue microstructure non-invasively with high sensitivity but lacks cel- lular specificity. However, metabolite diffusion-weighted MR spectroscopy (DW-MRS) sensitises MR spectra to diffusion of intracellular metabolites, providing information about specific cellular morphology. Here we com- bine DW-MRI and DW-MRS to non-invasively characterise cell-specific TME changes in patients diagnosed with a spectrum of gliomas. METHODS 10 patients (5 male, mean age 47.7 years, range 22-76 years with newly diagnosed glioma were recruited and imaged on 3T Philips Ingenia CX system following informed consent. DW-MRS analysis: Data were combined per DW condition and averaged over gradient direction for b-value. The LCModel estimates for total NAA (tNAA), total creatine (tCr) and total choline (tCho) were used to calculate the ADC for these metabolites. DW-MRI analysis: NODDI model was fitted to the last two shells (b=711 and b=2500s/mm2) to estimate neurite orientation disperson index, odiNODDI and intra-neurite volume fraction ficvfNODDI. VERDICT model was fitted to b values using in-house Matlab code to obtain: intracellular signal fraction ficvfVERDICT, cell radius RVERDICT, ex- tracellular and extravascular signal fraction feesVERDICT, radial and axial extracellular diffusivities diVERDICT and dhVERDICT. RESULTS Tumour tNAA’s ADC decreased compared to contralateral NAWM suggesting neuronal loss with a trend of de- creasing tNAA’s ADC with increased WHO grade. We also observed increased feesVERDICT, dhVERDICT and decreased ficvfNODDI with WHO grade suggesting TME-specific cellular loss. Tumour tCho’s ADC was slightly increased com- pared to NAWM suggesting glial activation/reaction but was stable across WHO grade. CONCLUSION Combined DW-MRI and DW-MRS measurements potentially offer novel characterization of the glioma TME, essential for understanding mechanisms of radio-resistance and for developing more effective therapies.

Neuro-OncologyVol. 27(Supplement_2)
Brighton and Sussex Medical School (GB), The Francis Crick Institute (GB), Imaging, Brain, and Neuropsychiatry (FR), Laboratoire d’Imagerie Biomédicale (FR), National Hospital for Neurology and Neurosurgery (GB), University College London (GB), Cardiff University (GB)
Openalex Percentile: Top 21%
MicroRNA in disease regulation
0.94
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