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Pre-clinical Imaging of Transgenic Mouse Models of Neuroblastoma Using a Dedicated 3-element Solenoid Coil on a Clinical 3T Platform

Overview
Journal Br J Cancer
Specialty Oncology
Date 2017 Aug 9
PMID 28787429
Citations 5
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Abstract

Background: The use of clinical MRI scanners to conduct pre-clinical research facilitates comparisons with clinical studies. Here the utility and sensitivity of anatomical and functional MRI data/biomarkers acquired from transgenic mouse models of neuroblastoma using a dedicated radiofrequency (RF) coil on a clinical 3T scanner was evaluated.

Methods: Multiparametric MRI of transgenic mice bearing abdominal neuroblastomas was performed at 3T, and data cross-referenced to that acquired from the same mice on a pre-clinical 7T MRI system. T-weighted imaging, quantitation of the native longitudinal relaxation time (T) and the transverse relaxation rate (R*), and dynamic contrast-enhanced (DCE)-MRI, was used to assess tumour volume, phenotype and response to cyclophosphamide or cabozantinib.

Results: Excellent T-weighted image contrast enabled clear tumour delineation at 3T. Significant correlations of tumour volume (R=0.98, P<0.0001) and R* (R=0.87, P<0.002) measured at 3 and 7T were established. Mice with neuroblastomas harbouring the anaplastic lymphoma kinase mutation exhibited a significantly slower R* (P<0.001), consistent with impaired tumour perfusion. DCE-MRI was performed simultaneously on three transgenic mice, yielding estimates of K for each tumour (median K values of 0.202, 0.168 and 0.114 min). Cyclophosphamide elicited a significant reduction in both tumour burden (P<0.002) and native T (P<0.01), whereas cabozantinib induced significant (P<0.01) tumour growth delay.

Conclusions: Simultaneous multiparametric MRI of multiple tumour-bearing animals using this coil arrangement at 3T can provide high efficiency/throughput for both phenotypic characterisation and evaluation of novel therapeutics, and facilitate the introduction of functional MRI biomarkers into aligned imaging-embedded clinical trials.

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