Voxel-based morphometry of disproportionate cerebrospinal fluid space distribution for the differential diagnosis of idiopathic normal pressure hydrocephalus

Fumio Yamashita, Makoto Sasaki, Makoto Saito, Etsuro Mori, Atsushi Kawaguchi, Kohsuke Kudo, Tatsunori Natori, Ikuko Uwano, Kenji Ito, Koichi Saito

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

OBJECTIVE: To determine whether voxel-based morphometry of the cerebrospinal fluid (CSF) space can accurately differentiate iNPH from other related neurological disorders. METHODS: Nineteen patients with surgically proven iNPH and 24 patients with Alzheimer's disease (AD), 18 patients with Parkinson's disease (PD), and 14 healthy elderlies were examined. Regions of interest (ROIs) in the ventricular/sylvian (VS) and high convexity/midline (HCM) areas were used in VBM, and differences in CSF volume within these ROIs among the 4 groups were examined. RESULTS: The relative CSF volume in the VS-ROI in the iNPH group (64) was significantly higher than that in the AD, PD, and healthy control groups (26, .29, and .17, respectively; P < .001), whereas the relative CSF volume in the HCM-ROI was significantly reduced in the iNPH (10) than in the other (17, .16, and .16, respectively) groups (P < .001). Furthermore, the ratio of the 2 areas (VS/HCM) was markedly higher in the iNPH (6.87) than in the other (1.65, 1.74, .97, respectively) groups (P < .001), with sensitivity and specificity of .89 and 1.00, respectively. CONCLUSIONS: The VBM-based CSF space analysis can detect disproportionate changes in CSF space and differentiate iNPH patients from those with AD or PD and healthy elderlies accurately.

Original languageEnglish
Pages (from-to)359-365
Number of pages7
JournalJournal of Neuroimaging
Volume24
Issue number4
DOIs
Publication statusPublished - 2014

Keywords

  • Alzheimer's disease
  • Cerebrospinal fluid space
  • Idiopathic normal pressure hydrocephalus
  • Parkinson's disease
  • Voxel-based morphometry

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

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