Differential diagnosis of normal pressure hydrocephalus by MRI mean diffusivity histogram analysis.

TitleDifferential diagnosis of normal pressure hydrocephalus by MRI mean diffusivity histogram analysis.
Publication TypeJournal Article
Year of Publication2013
AuthorsIvkovic M, Liu B, Ahmed F, Moore D, Huang C, Raj A, Kovanlikaya I, Heier L, Relkin N
JournalAJNR Am J Neuroradiol
Volume34
Issue6
Pagination1168-74
Date Published2013 Jun-Jul
ISSN1936-959X
KeywordsAged, Aged, 80 and over, Alzheimer Disease, Brain, Diagnosis, Differential, Female, Humans, Hydrocephalus, Normal Pressure, Image Processing, Computer-Assisted, Lewy Body Disease, Magnetic Resonance Imaging, Male, Middle Aged, Models, Theoretical, Neurodegenerative Diseases, Parkinson Disease, Reproducibility of Results, Sensitivity and Specificity
Abstract

BACKGROUND AND PURPOSE: Accurate diagnosis of normal pressure hydrocephalus is challenging because the clinical symptoms and radiographic appearance of NPH often overlap those of other conditions, including age-related neurodegenerative disorders such as Alzheimer and Parkinson diseases. We hypothesized that radiologic differences between NPH and AD/PD can be characterized by a robust and objective MR imaging DTI technique that does not require intersubject image registration or operator-defined regions of interest, thus avoiding many pitfalls common in DTI methods.

MATERIALS AND METHODS: We collected 3T DTI data from 15 patients with probable NPH and 25 controls with AD, PD, or dementia with Lewy bodies. We developed a parametric model for the shape of intracranial mean diffusivity histograms that separates brain and ventricular components from a third component composed mostly of partial volume voxels. To accurately fit the shape of the third component, we constructed a parametric function named the generalized Voss-Dyke function. We then examined the use of the fitting parameters for the differential diagnosis of NPH from AD, PD, and DLB.

RESULTS: Using parameters for the MD histogram shape, we distinguished clinically probable NPH from the 3 other disorders with 86% sensitivity and 96% specificity. The technique yielded 86% sensitivity and 88% specificity when differentiating NPH from AD only.

CONCLUSIONS: An adequate parametric model for the shape of intracranial MD histograms can distinguish NPH from AD, PD, or DLB with high sensitivity and specificity.

DOI10.3174/ajnr.A3368
Alternate JournalAJNR Am J Neuroradiol
PubMed ID23257611
PubMed Central IDPMC7964573
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065