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Hypometabolism and atrophy patterns associated with Niemann-Pick type C
Jesús Silva-Rodríguez1,2, Cristina Castro3, Julia Cortés4
1Reina Sofia Alzheimer Centre, CIEN Foundation, ISCIII, Madrid, Spain.
EJNMMI Research
|February 26, 2025
Summary
[18F]FDG PET imaging shows promise for diagnosing Niemann-Pick disease type C (NP-C) by detecting brain hypometabolism. This method may be more sensitive than MRI for identifying neurodegenerative changes and tracking disease progression.
Area of Science:
- Neuroimaging
- Neurology
- Genetics
Background:
- Niemann-Pick disease type C (NP-C) is a rare genetic disorder causing progressive neurological decline.
- Early diagnosis is crucial for treatment with miglustat to slow disease progression.
- Current neuroimaging standards include MRI.
Purpose of the Study:
- To evaluate [18F]FDG PET as an adjunct diagnostic tool for NP-C.
- To compare the sensitivity of [18F]FDG PET and MRI in detecting NP-C related neurodegeneration.
- To assess the role of [18F]FDG PET in monitoring NP-C disease progression.
Main Methods:
- Cross-sectional and longitudinal study of 22 NP-C patients.
- Utilized MRI, [18F]FDG PET, and clinical assessments.
- Analyzed group-level and single-subject imaging data.
Main Results:
- [18F]FDG PET revealed extensive hypometabolism in the cerebellum, thalamus, and cingulate cortex, often in regions without apparent atrophy on MRI.
- [18F]FDG PET demonstrated higher effect sizes than MRI, suggesting greater sensitivity.
- Longitudinal analysis showed progressive cerebellar hypometabolism, with a trend towards slower progression in patients treated with miglustat.
Conclusions:
- A specific hypometabolism pattern in NP-C was identified using [18F]FDG PET.
- [18F]FDG PET may be a valuable tool for NP-C diagnosis and disease progression studies.
- The findings suggest [18F]FDG PET could differentiate NP-C from other neurodegenerative conditions.

