Characterization of a rat orthotopic pancreatic head tumor model using three-dimensional and quantitative

Ting Yin1, Ronald Peeters1, Yuanbo Feng1

  • 1Department of Imaging and Pathology, Biomedical Sciences Group, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.

NMR in Biomedicine
|December 24, 2016
PubMed

Insights

This study demonstrates the high reliability of advanced MRI techniques for characterizing pancreatic tumors in rats. These quantitative multi-parametric MRI methods are reproducible and unaffected by tumor growth, aiding preclinical research.

Area of Science:

  • Biomedical Imaging
  • Oncology Research
  • Preclinical Models

Background:

  • Pancreatic cancer presents diagnostic challenges, necessitating reliable preclinical models for research.
  • Advanced Magnetic Resonance Imaging (MRI) techniques offer potential for non-invasive tumor characterization.

Purpose of the Study:

  • To assess the reliability of 3D isotropic MRI and quantitative multi-parametric MRI for characterizing an orthotopic pancreatic head tumor model in rats.
  • To evaluate the reproducibility of these MRI techniques throughout tumor growth.

Main Methods:

  • 3D isotropic T2-weighted MRI for tumor follow-up and volume estimation.
  • Quantitative multi-parametric MRI including T2, T1 relaxivity, apparent diffusion coefficient (ADC), and kurtosis mapping.
  • Dynamic contrast-enhanced (DCE) imaging with pharmacokinetic modeling and contrast ratio measurements.
  • Texture analysis applied to various MRI parameters.

Main Results:

  • Multi-parametric MRI demonstrated good reproducibility for tumor characterization.
  • MRI measurements remained stable and were not significantly affected by tumor growth.
  • Histology confirmed tumor growth, validating MRI findings.

Conclusions:

  • State-of-the-art clinical MRI techniques were successfully translated to a preclinical pancreatic tumor model with high reliability.
  • These validated MRI methods provide a robust platform for translational oncology studies using this model.

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