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Published Online: 1 January 2013

Man Versus Machine: Comparison of Radiologists’ Interpretations and NeuroQuant® Volumetric Analyses of Brain MRIs in Patients With Traumatic Brain Injury

Publication: The Journal of Neuropsychiatry and Clinical Neurosciences

Abstract

NeuroQuant® is a recently developed, FDA-approved software program for measuring brain MRI volume in clinical settings. The purpose of this study was to compare NeuroQuant with the radiologist’s traditional approach, based on visual inspection, in 20 outpatients with mild or moderate traumatic brain injury (TBI). Each MRI was analyzed with NeuroQuant, and the resulting volumetric analyses were compared with the attending radiologist’s interpretation. The radiologist’s traditional approach found atrophy in 10.0% of patients; NeuroQuant found atrophy in 50.0% of patients. NeuroQuant was more sensitive for detecting brain atrophy than the traditional radiologist’s approach.

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Information

Published In

Go to The Journal of Neuropsychiatry and Clinical Neurosciences
Go to The Journal of Neuropsychiatry and Clinical Neurosciences
The Journal of Neuropsychiatry and Clinical Neurosciences
Pages: 32 - 39
PubMed: 23487191

History

Received: 30 December 2011
Revision received: 12 April 2012
Accepted: 26 May 2012
Published online: 1 January 2013
Published in print: Winter 2013

Authors

Affiliations

David E. Ross, M.D.
From the Virginia Institute of Neuropsychiatry, Midlothian, VA, and Virginia Commonwealth University, Richmond, VA.
Alfred L. Ochs, Ph.D.
From the Virginia Institute of Neuropsychiatry, Midlothian, VA, and Virginia Commonwealth University, Richmond, VA.
Jan M. Seabaugh, M.A.
From the Virginia Institute of Neuropsychiatry, Midlothian, VA, and Virginia Commonwealth University, Richmond, VA.
Carole R. Shrader, B.A.
From the Virginia Institute of Neuropsychiatry, Midlothian, VA, and Virginia Commonwealth University, Richmond, VA.
the Alzheimer's Disease Neuroimaging Initiative
From the Virginia Institute of Neuropsychiatry, Midlothian, VA, and Virginia Commonwealth University, Richmond, VA.

Notes

Address correspondence to Dr. Ross ([email protected]).

Competing Interests

The authors had no conflicts of interest. This project was funded internally by the Virginia Institute of Neuropsychiatry.

Funding Information

Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abbott, AstraZeneca AB, Bayer Schering Pharma AG, Bristol-Myers Squibb, Eisai Global Clinical Development, Elan Corporation, Genentech, GE Healthcare, GlaxoSmithKline, Innogenetics, Johnson and Johnson, Eli Lilly and Co., Medpace, Inc., Merck and Co., Inc., Novartis AG, Pfizer Inc, F. Hoffman-La Roche, Schering-Plough, Synarc, Inc., as well as non-profit partners the Alzheimer's Association and Alzheimer's Drug Discovery Foundation, with participation from the U.S. Food and Drug Administration. Private sector contributions to ADNI are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30 AG010129, K01 AG030514, and the Dana Foundation.

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