Early detection of human glioma sphere xenografts in mouse brain using diffusion MRI at 14.1T

P Porcari1,2, M E Hegi3, H Lei4,5

  • 1Centre for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. paola.porcari@ncl.ac.uk.

NMR in Biomedicine
|October 8, 2016
PubMed

Insights

Diffusion MRI can detect early-stage, slow-growing gliomas in mice that are invisible to conventional MRI. This technique offers a potential imaging biomarker for early tumor detection in humans.

Area of Science:

  • Neuro-oncology
  • Medical Imaging

Background:

  • Glioma models are crucial for understanding human brain cancers.
  • Conventional MRI techniques (T2-weighted, contrast-enhanced T1-weighted) struggle to detect early-stage, slow-growing gliomas.
  • Diffusion MRI offers potential for improved detection of infiltrative tumors.

Purpose of the Study:

  • To investigate diffusion MRI for early detection and characterization of slow-growing, diffuse infiltrative gliomas using LN-2669GS and LN-2540GS xenograft models.
  • To optimize diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) protocols for enhanced contrast.

Main Methods:

  • Utilized LN-2669GS and LN-2540GS glioma sphere xenografts in mice.
  • Optimized DWI and DTI protocols using long diffusion times.
  • Compared diffusion MRI findings with conventional MRI (T2-weighted), proton MR spectroscopy, and immunohistochemistry.

Main Results:

  • Tumors invisible on conventional MRI were identified at an early stage using diffusion MRI.
  • Diffusion MRI revealed tumor presence three months post-implantation, prior to necrosis or edema detection.
  • Distinct diffusion indices (mean diffusivity, fractional anisotropy) were observed between LN-2669GS and LN-2540GS xenografts, reflecting diverse microstructures.

Conclusions:

  • Diffusion MRI techniques can effectively identify and characterize early-stage, slow-growing, invasive gliomas in mouse models.
  • Diffusion MRI shows promise as a non-invasive imaging biomarker for the early detection of brain tumors in humans.

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