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Insights into tissue microstructure using a double diffusion encoding sequence on a clinical scanner: Validation and

Gaëtan Duchêne1, Jorge Abarca-Quinones1,2, Isabelle Leclercq1,2

  • 1Université Catholique de Louvain, Brussels, Belgium.

Magnetic Resonance in Medicine
|October 9, 2019
PubMed
Summary

This study introduces a novel double diffusion encoding MRI technique for analyzing tumor micro-structure and micro-vasculature. The method accurately distinguishes between viable and decaying tumor tissues, showing promise for future cancer research.

Keywords:
PGSEdiffusion MRIdouble diffusion encodingmicrostructuretumorsvalidation

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Area of Science:

  • Radiology and Imaging Science
  • Oncology Imaging
  • Biomedical Engineering

Background:

  • Accurate characterization of tumor micro-structure and micro-vasculature is crucial for effective cancer diagnosis and treatment monitoring.
  • Conventional MRI techniques may have limitations in resolving the fine details of tumor cellularity and blood flow.
  • Developing advanced MRI sequences is essential for non-invasive assessment of tumor heterogeneity.

Purpose of the Study:

  • To present and validate a double diffusion encoding (DDE) MRI sequence on a clinical scanner.
  • To analyze the micro-structure and micro-vasculature of tumors using the developed DDE MRI sequence.
  • To assess the feasibility and accuracy of estimating microstructural parameters in tumors.

Main Methods:

  • A DDE MRI sequence was implemented on a 3T clinical scanner.
  • The sequence was tested using phantoms, asparaguses, and rodent tumor allografts.
  • Microstructural parameters were estimated using an adapted VERDICT model and compared with histological analysis.

Main Results:

  • The DDE MRI sequence demonstrated technical feasibility on a clinical system with minimal artifacts.
  • Cell size estimations in phantoms showed high accuracy compared to light microscopy.
  • Tumor analyses revealed distinct microstructural parameters for viable and decaying tissues, consistent with histology.

Conclusions:

  • Clinical DDE MRI enables characterization of restricted diffusion and micro-circulation in tumors.
  • The estimated microstructural parameters show potential for assessing tumor microstructural evolution.
  • This technique offers a promising non-invasive tool for in vivo tumor analysis.