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Updated: Jul 25, 2026
Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
Published on: July 17, 2012
Diffusion imaging for evaluation of tumor therapies in preclinical animal models
B A Moffat1, D E Hall, J Stojanovska
1Center for Molecular Imaging, Department of Radiology, University of Michigan, Ann Arbor, 1150 W. Medical Center Drive, MSRB III Rm 9303, Ann Arbor, MI, 48109-0503, USA. bmoffat@umich.edu
Abstract:
The increasing development of novel targeted therapies for treating solid tumors has necessitated the development of technology to determine their efficacy in preclinical animal models. One such technology that can non-invasively quantify early changes in tumor cellularity as a result of an efficacious therapy is diffusion MRI. In this overview we present some theories as to the origin of diffusion changes as a result of tumor therapy, a robust methodology for acquisition of apparent diffusion coefficient maps and some applications of determining therapeutic efficacy in a variety therapeutic regimens and animal models.
Insights
Diffusion MRI non-invasively assesses targeted cancer therapy effectiveness in animal models. This technology quantifies early changes in tumor cellularity, aiding treatment evaluation.
Area of Science:
- Oncology
- Radiology
- Preclinical Research
Background:
- Novel targeted therapies for solid tumors require efficacy assessment in preclinical models.
- Non-invasive imaging techniques are crucial for monitoring treatment response.
- Diffusion MRI offers a method to evaluate early therapeutic effects.
Purpose of the Study:
- To review the principles behind diffusion MRI in assessing tumor therapy.
- To present a methodology for acquiring apparent diffusion coefficient maps.
- To highlight applications of diffusion MRI in evaluating therapeutic efficacy.
Main Methods:
- Review of theoretical origins of diffusion changes post-therapy.
- Description of robust diffusion MRI acquisition protocols.
- Compilation of applications across various therapeutic regimens and animal models.
Main Results:
- Diffusion MRI can detect early cellularity changes indicative of successful therapy.
- Methodology for apparent diffusion coefficient map generation is detailed.
- Demonstrated utility in diverse preclinical cancer models and treatments.
Conclusions:
- Diffusion MRI is a valuable non-invasive tool for evaluating targeted cancer therapy efficacy.
- The presented methodology facilitates reliable assessment of treatment response.
- This technique supports the development of new oncology treatments.
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