학술논문

Harmonization of pipeline for preclinical multicenter MRI biomarker discovery in a rat model of post-traumatic epileptogenesis
Document Type
article
Source
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Brain Disorders
Physical Injury - Accidents and Adverse Effects
Traumatic Head and Spine Injury
Bioengineering
Neurosciences
Prevention
Traumatic Brain Injury (TBI)
Biomedical Imaging
Animals
Anisotropy
Brain
Brain Injuries
Traumatic
Disease Models
Animal
Electroencephalography
Epilepsy
Image Processing
Computer-Assisted
Longitudinal Studies
Magnetic Resonance Imaging
Male
Rats
Rats
Sprague-Dawley
Time Factors
Common data element
Diffusion tensor imaging
Magnetization transfer imaging
Multi-site harmonization
Post-traumatic epilepsy
Traumatic brain injury
Neurology & Neurosurgery
Language
Abstract
Preclinical imaging studies of posttraumatic epileptogenesis (PTE) have largely been proof-of-concept studies with limited animal numbers, and thus lack the statistical power for biomarker discovery. Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) is a pioneering multicenter trial investigating preclinical imaging biomarkers of PTE. EpiBios4Rx faced the issue of harmonizing the magnetic resonance imaging (MRI) procedures and imaging data metrics prior to its execution. We present here the harmonization process between three preclinical MRI facilities at the University of Eastern Finland (UEF), the University of Melbourne (Melbourne), and the University of California, Los Angeles (UCLA), and evaluate the uniformity of the obtained MRI data. Adult, male rats underwent a lateral fluid percussion injury (FPI) and were followed by MRI 2 days, 9 days, 1 month, and 5 months post-injury. Ex vivo scans of fixed brains were conducted 7 months post-injury as an end point follow-up. Four MRI modalities were used: T2-weighted imaging, multi-gradient-echo imaging, diffusion-weighted imaging, and magnetization transfer imaging, and acquisition parameters for each modality were tailored to account for the different field strengths (4.7 T and 7 T) and different MR hardwares used at the three participating centers. Pilot data collection resulted in comparable image quality across sites. In interim analysis (of data obtained by April 30, 2018), the within-site variation of the quantified signal properties was low, while some differences between sites remained. In T2-weighted images the signal-to-noise ratios were high at each site, being 35 at UEF, 48 at Melbourne, and 32 at UCLA (p