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Individual Brain Tumor Invasion Mapping Based on Diffusion Kurtosis Imaging.

E L Pogosbekyan1, N E Zakharova2, A I Batalov3

  • 1Medical Physicist, Department of Neuroradiology; N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, 16, 4th Tverskaya-Yamskaya St., Moscow, 125047, Russia.

Sovremennye Tekhnologii V Meditsine
|March 12, 2025
PubMed
Summary

A new algorithm using diffusion kurtosis imaging (DKI) analyzes brain tumor invasion. It maps glioblastoma and metastasis, differentiating infiltration patterns for better treatment planning.

Keywords:
diffusion kurtosis MRIhigh-grade malignant gliomasmetastasestumor invasion maps

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Area of Science:

  • Neuroimaging
  • Oncology
  • Medical Physics

Background:

  • Brain tumors like glioblastoma and metastasis require precise invasion mapping for effective treatment.
  • Standard MRI provides anatomical information, but assessing tumor infiltration and microstructural changes needs advanced techniques.

Purpose of the Study:

  • To develop and implement a diffusion kurtosis imaging (DKI) analysis algorithm for brain tumors.
  • To assess anisotropic changes in white matter from the tumor to intact tissue.
  • To generate individual tumor invasion maps for treatment planning.

Main Methods:

  • Acquired DKI data from a healthy volunteer and two patients (glioblastoma, lung cancer metastasis).
  • Developed a DKI analysis algorithm to plot tissue parameter profiles from tumor to white matter.
  • Compared DKI parameter changes in the perifocal zones of glioblastoma and metastasis.

Main Results:

  • The algorithm successfully mapped DKI parameter changes along trajectories from tumors.
  • Glioblastoma showed significant DKI parameter gradients beyond the visible tumor margin, indicating infiltration.
  • Metastasis edema exhibited no significant gradients, consistent with vasogenic edema without infiltration.

Conclusions:

  • The developed DKI analysis algorithm differentiates glioblastoma infiltration from metastasis.
  • Individual tumor invasion maps can be generated for neurosurgical and radiation treatment planning.
  • The findings aid in predicting the growth patterns of malignant gliomas.