• J Neuroimaging · Jul 2017

    Comparative Study

    Comparing Two Processing Pipelines to Measure Subcortical and Cortical Volumes in Patients with and without Mild Traumatic Brain Injury.

    • Matthew W Reid, Nathan P Hannemann, Gerald E York, John L Ritter, Jonathan A Kini, Jeffrey D Lewis, Paul M Sherman, Carmen S Velez, Ann Marie Drennon, Jacob D Bolzenius, and David F Tate.
    • Defense and Veterans Brain Injury Center, San Antonio Military Medical Center, San Antonio, TX.
    • J Neuroimaging. 2017 Jul 1; 27 (4): 365-371.

    PurposeTo compare volumetric results from NeuroQuant® and FreeSurfer in a service member setting. Since the advent of medical imaging, quantification of brain anatomy has been a major research and clinical effort. Rapid advancement of methods to automate quantification and to deploy this information into clinical practice has surfaced in recent years. NeuroQuant® is one such tool that has recently been used in clinical settings. Accurate volumetric data are useful in many clinical indications; therefore, it is important to assess the intermethod reliability and concurrent validity of similar volume quantifying tools.MethodsVolumetric data from 148 U.S. service members across three different experimental groups participating in a study of mild traumatic brain injury (mTBI) were examined. Groups included mTBI (n = 71), posttraumatic stress disorder (n = 22), or a noncranial orthopedic injury (n = 55). Correlation coefficients and nonparametric group mean comparisons were used to assess reliability and concurrent validity, respectively.ResultsComparison of these methods across our entire sample demonstrates generally fair to excellent reliability as evidenced by large intraclass correlation coefficients (ICC = .4 to .99), but little concurrent validity as evidenced by significantly different Mann-Whitney U comparisons for 26 of 30 brain structures measured.ConclusionWhile reliability between the two segmenting tools is fair to excellent, volumetric outcomes are statistically different between the two methods. As suggested by both developers, structure segmentation should be visually verified prior to clinical use and rigor should be used when interpreting results generated by either method.Copyright © 2017 by the American Society of Neuroimaging.

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