Literature DB >> 25435183

Pediatric brain tumor consortium multisite assessment of apparent diffusion coefficient z-axis variation assessed with an ice-water phantom.

Robert V Mulkern1, Kelsey I Ricci2, Sridhar Vajapeyam1, Thomas L Chenevert3, Dariya I Malyarenko4, Mehmet Kocak5, Tina Young Poussaint6.   

Abstract

RATIONALE AND
OBJECTIVES: Magnetic resonance diffusion imaging can characterize physiologic characteristics of pediatric brain tumors used to assess therapy response. The purpose of this study was to assess the variability of the apparent diffusion coefficient (ADC) along z-axis of scanners in the multicenter Pediatric Brain Tumor Consortium (PBTC).
MATERIALS AND METHODS: Ice-water diffusion phantoms for each PBTC site were distributed with a specific diffusion imaging protocol. The phantom was scanned four successive times to 1) confirm water in the tube reached thermal equilibrium and 2) allow for assessment of intra-examination ADC repeatability. ADC profiles across slice positions for each vendor and institution combination were characterized using linear regression modeling with a quadratic fit.
RESULTS: Eleven sites collected data with a high degree of compliance to the diffusion protocol for each scanner. The mean ADC value at slice position zero for vendor A was 1.123 × 10(-3) mm(2)/s, vendor B was 1.0964 × 10(-3) mm(2)/s, and vendor C was 1.110 × 10(-3) mm(2)/s. The percentage coefficient of variation across all sites was 0.309% (standard deviation = 0.322). The ADC values conformed well to a second-order polynomial along the z-axis, (ie, following a linear model pattern with quadratic fit) for vendor-institution combinations and across vendor-institution combinations as shown in the longitudinal model.
CONCLUSIONS: Assessment of the variability of diffusion metrics is essential for establishing the validity of using these quantitative metrics in multicenter trials. The low variability in ADC values across vendors and institutions and validates the use of ADC as a quantitative tumor marker in pediatric multicenter trials.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion phantom; MRI; pediatric brain tumors; quality assurance

Mesh:

Substances:

Year:  2014        PMID: 25435183      PMCID: PMC4323850          DOI: 10.1016/j.acra.2014.10.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  10 in total

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