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Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
Published on: July 29, 2013
A biomimetic tumor tissue phantom for validating diffusion-weighted MRI measurements
Damien J McHugh1,2, Feng-Lei Zhou1,2,3, Ian Wimpenny1,3
1Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
A new biomimetic phantom mimics tumor tissue for diffusion-weighted MRI. This stable phantom accurately reflects water diffusion, aiding in the validation of MRI measurements for cancer research.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Materials Science
Background:
- Developing accurate phantoms for diffusion-weighted (DW) MRI is crucial for understanding water diffusion in biological tissues, particularly in tumors.
- Existing phantoms often lack the microstructural complexity to fully replicate in vivo conditions, limiting the validation of DW-MRI measurements.
Purpose of the Study:
- To create a novel biomimetic tumor tissue phantom that better mimics water diffusion in biological tissues compared to previous phantoms.
- To assess the long-term stability of this biomimetic phantom.
- To evaluate its utility in validating diffusion-weighted MRI measurements.
Main Methods:
- Coaxial-electrospraying was employed to fabricate micron-sized hollow polymer spheres, simulating cellular structures.
- The bulk phantom structure was submerged in water and its apparent diffusion coefficient (ADC) and microstructural properties were analyzed over 10 months.
- Scanning electron microscopy (SEM) and high-resolution synchrotron-CT were used for independent microstructural characterization and to assess repeatability.
Main Results:
- The biomimetic phantom demonstrated stable apparent diffusion coefficient (ADC) values over 10 months, with coefficients of variation (CoVs) below 5%.
- ADC values exhibited dependence on diffusion time, with distinct averages at 12 ms and 45 ms.
- Microstructural parameters showed higher variability (CoVs up to 13%), indicating potential bias in sphere size estimation.
Conclusions:
- A novel, stable biomimetic phantom has been successfully developed, maintaining integrity for up to 10 months.
- This phantom is a promising tool for investigating microstructural models relevant to tumor tissue characterization.
- Potential applications include validating DW-MRI acquisition protocols and inter-scanner comparisons of diffusion-derived biomarkers.
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