Differential diagnosis of normal pressure hydrocephalus by MRI mean diffusivity histogram analysis. Academic Article uri icon

Overview

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.

publication date

  • December 20, 2012

Research

keywords

  • Brain
  • Hydrocephalus, Normal Pressure
  • Magnetic Resonance Imaging
  • Models, Theoretical
  • Neurodegenerative Diseases

Identity

PubMed Central ID

  • PMC7964573

Scopus Document Identifier

  • 84880777773

Digital Object Identifier (DOI)

  • 10.3174/ajnr.A3368

PubMed ID

  • 23257611

Additional Document Info

volume

  • 34

issue

  • 6