Comparison of Automated Brain Volume Measures obtained with NeuroQuant® and FreeSurfer

To examine intermethod reliabilities and differences between FreeSurfer and the FDA‐cleared congener, NeuroQuant®, both fully automated methods for structural brain MRI measurements.

[1]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[2]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[3]  J. Fleiss.  The design and analysis of clinical experiments , 1987 .

[4]  K. Cicerone,et al.  Definition of mild traumatic brain injury , 1993 .

[5]  Thomas Kay,et al.  Neuropsychological treatment of mild traumatic brain injury , 1993 .

[6]  Olejnik,et al.  Measures of Effect Size for Comparative Studies: Applications, Interpretations, and Limitations. , 2000, Contemporary educational psychology.

[7]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[8]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[9]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[10]  Alberto Beltramello,et al.  A comparison between the accuracy of voxel‐based morphometry and hippocampal volumetry in Alzheimer's disease , 2004, Journal of magnetic resonance imaging : JMRI.

[11]  Paul M. Thompson,et al.  Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment , 2005, NeuroImage.

[12]  Anders M. Dale,et al.  Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.

[13]  V. Magnotta,et al.  Hippocampal volume in chronic posttraumatic stress disorder (PTSD): MRI study using two different evaluation methods. , 2006, Journal of affective disorders.

[14]  Anders M. Dale,et al.  Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.

[15]  Stephen M. Smith,et al.  Evidence for abnormalities of cortical development in adolescent-onset schizophrenia , 2008, NeuroImage.

[16]  Nick C Fox,et al.  The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.

[17]  Martin Styner,et al.  A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes , 2009, NeuroImage.

[18]  J. Brewer.  Fully-Automated Volumetric MRI with Normative Ranges: Translation to Clinical Practice , 2009, Behavioural neurology.

[19]  J. Brewer,et al.  Fully-Automated Quantification of Regional Brain Volumes for Improved Detection of Focal Atrophy in Alzheimer Disease , 2009, American Journal of Neuroradiology.

[20]  J. Brewer,et al.  High-throughput, Fully Automated Volumetry for Prediction of MMSE and CDR Decline in Mild Cognitive Impairment , 2009, Alzheimer disease and associated disorders.

[21]  Hippocampal Atrophy: Biomarker for Early AD? , 2009 .

[22]  André J. W. van der Kouwe,et al.  Reliability of MRI-derived cortical and subcortical morphometric measures: Effects of pulse sequence, voxel geometry, and parallel imaging , 2009, NeuroImage.

[23]  Anders M. Dale,et al.  MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths , 2009, NeuroImage.

[24]  Mark E. Schmidt,et al.  The Alzheimer's Disease Neuroimaging Initiative: Progress report and future plans , 2010, Alzheimer's & Dementia.

[25]  Xiaoqi Li,et al.  Diffuse damage in pediatric traumatic brain injury: A comparison of automated versus operator-controlled quantification methods , 2010, NeuroImage.

[26]  David W Wright,et al.  Position statement: definition of traumatic brain injury. , 2010, Archives of physical medicine and rehabilitation.

[27]  Gregory McCarthy,et al.  Scan–rescan reliability of subcortical brain volumes derived from automated segmentation , 2010, Human brain mapping.

[28]  L. McEvoy,et al.  Quantitative structural MRI for early detection of Alzheimer’s disease , 2010, Expert review of neurotherapeutics.

[29]  L. McEvoy,et al.  Predicting MCI outcome with clinically available MRI and CSF biomarkers , 2011, Neurology.

[30]  Nobuko Kemmotsu,et al.  Temporal lobe epilepsy: quantitative MR volumetry in detection of hippocampal atrophy. , 2012, Radiology.

[31]  L. McEvoy,et al.  Biomarkers for the clinical evaluation of the cognitively impaired elderly: amyloid is not enough. , 2012, Imaging in medicine.

[32]  Ron Mengelers,et al.  The Effects of FreeSurfer Version, Workstation Type, and Macintosh Operating System Version on Anatomical Volume and Cortical Thickness Measurements , 2012, PloS one.

[33]  Jan M. Seabaugh,et al.  Progressive brain atrophy in patients with chronic neuropsychiatric symptoms after mild traumatic brain injury: A preliminary study , 2012, Brain injury.

[34]  R. Coe,et al.  It's the Effect Size, Stupid What effect size is and why it is important , 2012 .

[35]  Marisa O. Hollinshead,et al.  Identification of common variants associated with human hippocampal and intracranial volumes , 2012, Nature Genetics.

[36]  A. Ochs,et al.  Review of the Evidence Supporting the Medical and Legal Use of NeuroQuant® in Patients with Traumatic Brain Injury , 2013 .

[37]  R. Desikan,et al.  An Expanded Role for Neuroimaging in the Evaluation of Memory Impairment , 2013, American Journal of Neuroradiology.

[38]  Jan M. Seabaugh,et al.  Man versus machine: comparison of radiologists' interpretations and NeuroQuant® volumetric analyses of brain MRIs in patients with traumatic brain injury. , 2013, The Journal of neuropsychiatry and clinical neurosciences.

[39]  K. Taber,et al.  Update on mild traumatic brain injury: neuropathology and structural imaging. , 2013, The Journal of neuropsychiatry and clinical neurosciences.

[40]  Brain MRI volumetry in a single patient with mild traumatic brain injury , 2013, Brain injury.

[41]  Mathias Davids,et al.  Fully-automated quality assurance in multi-center studies using MRI phantom measurements. , 2014, Magnetic resonance imaging.

[42]  J. Brewer,et al.  Prospective longitudinal MRI study of brain volumes and diffusion changes during the first year after moderate to severe traumatic brain injury , 2014, NeuroImage: Clinical.

[43]  Frederik Barkhof,et al.  Hippocampal volume change measurement: Quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST , 2014, NeuroImage.

[44]  David E. Ross,et al.  Back to the future: Estimating pre-injury brain volume in patients with traumatic brain injury , 2014, NeuroImage.

[45]  Jan M. Seabaugh,et al.  Man Versus Machine Part 2: Comparison of Radiologists' Interpretations and NeuroQuant Measures of Brain Asymmetry and Progressive Atrophy in Patients With Traumatic Brain Injury. , 2015, The Journal of neuropsychiatry and clinical neurosciences.