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Updated: Feb 9, 2026
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Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT
Published on: November 23, 2012
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18F-FDG PET-CT pattern in idiopathic normal pressure hydrocephalus
Ryan A Townley1, Hugo Botha1, Jonathan Graff-Radford1
1Department of Neurology Mayo Clinic, Rochester, MN 55901, USA.
Neuroimage. Clinical
|June 8, 2018
Summary
FDG-PET scans reveal distinct hypometabolism in the caudate and putamen for idiopathic normal pressure hydrocephalus (iNPH) patients. This specific metabolic pattern may help differentiate iNPH from other neurodegenerative diseases.
Area of Science:
- Neuroimaging
- Neurology
- Nuclear Medicine
Background:
- Idiopathic normal pressure hydrocephalus (iNPH) presents diagnostic challenges due to overlapping symptoms with age-related neurological disorders.
- The underlying pathophysiology of iNPH remains incompletely understood.
- FDG-PET imaging is explored as a potential biomarker for differentiating iNPH.
Purpose of the Study:
- To investigate FDG-PET abnormalities in iNPH patients.
- To determine if FDG-PET can serve as a biomarker to distinguish iNPH from common neurodegenerative conditions.
- To enhance understanding of iNPH pathophysiology.
Main Methods:
- Retrospective comparison of 18F-FDG PET-CT imaging patterns.
- Inclusion of seven iNPH patients and age/sex-matched controls.
- Comparison groups included Alzheimer's disease dementia (AD), Dementia with Lewy Bodies (DLB)/Parkinson's Disease Dementia (PDD), and behavioral variant frontotemporal dementia (bvFTD).
- Analysis of both partial volume corrected and uncorrected images.
Main Results:
- iNPH patients exhibited significant bilateral hypometabolism in the dorsal striatum (caudate and putamen) compared to controls and other dementia groups.
- This hypometabolic pattern in the caudate and putamen remained significant after partial volume correction.
- Cortical metabolism was preserved in iNPH patients.
Conclusions:
- A distinct FDG-PET pattern of hypometabolism in the caudate and putamen, with preserved cortical metabolism, is identified in iNPH.
- This pattern shows potential as a biomarker to differentiate iNPH from degenerative neurological diseases.
- The findings contribute to a better understanding of the pathophysiology of iNPH.
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