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Background: Magnetic resonance imaging (MRI) is the gold standard for imaging disease activity in multiple sclerosis (MS) patients. However, recent studies indicate that positron emission tomography (PET) may provide added value in visualizing MS disease in the future.
Objective: This study aims to investigate the barriers to implementing PET for MS patients and its potential added value in the context of MS.
Methods: 11 semi-structured in-depth interviews with neurologists specialized in MS were conducted. The neurologists were selectively recruited from six medical centers in Belgium and the Netherlands. Inductive thematic analysis was used to analyze the data.
Results: The interviews revealed several hurdles that play a role in using PET for MS, including financial and scientific considerations. Potential clinical applications of PET were also identified, such as understanding unexplained symptoms, making a more accurate prognosis, evaluating the nature and seriousness of a lesion, and assessing disease activity. In addition, research applications were highlighted, including unraveling the pathophysiology of MS and developing new treatment options for MS.
Conclusion: Using PET is advancing our understanding of MS and can accelerate the development of novel therapies to combat its progression. However, its integration into routine clinical practice for MS remains a future prospect, contingent upon further technological advancements and supportive healthcare frameworks.
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http://dx.doi.org/10.1016/j.msard.2024.106177 | DOI Listing |
J Affect Disord
September 2025
Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Department of Neurology, Yale University, New Haven, CT, USA. Electronic address:
Purpose: Dopamine is a neurotransmitter implicated in functions ranging from motor control to cognitive performance. In humans, dopaminergic markers have been associated with seasonal symptomatic fluctuations. Here we investigated potential seasonal variations in dopamine D2/D3 receptor availability in healthy adults using [C]PHNO positron emission tomography (PET) imaging.
View Article and Find Full Text PDFNucl Med Biol
September 2025
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA. Electronic address:
Background: Positron-emission tomography (PET) imaging of the complement system could advance understanding of the innate immune system in central nervous system (CNS) diseases and development of new drugs. The goal of this study was to develop a PET radiotracer targeting the C3a receptor (C3aR) of the complement system.
Methods: C3aR radiotracer [F]1 was synthesized in one step.
Neurology
October 2025
Department of Radiology, Mayo Clinic, Rochester, MN.
Background And Objectives: The relationship between insomnia and cognitive decline is poorly understood. We investigated associations between chronic insomnia, longitudinal cognitive outcomes, and brain health in older adults.
Methods: From the population-based Mayo Clinic Study of Aging, we identified cognitively unimpaired older adults with or without a diagnosis of chronic insomnia who underwent annual neuropsychological assessments (z-scored global cognitive scores and cognitive status) and had quantified serial imaging outcomes (amyloid-PET burden [centiloid] and white matter hyperintensities from MRI [WMH, % of intracranial volume]).
Clin Nucl Med
September 2025
Department of Nuclear Medicine & PET/CT, Mahajan Imaging & Labs.
SCN2A gene mutations, which affect the function of the voltage-gated sodium channel NaV1.2, are associated with a spectrum of neurological disorders, including epileptic encephalopathies and autism spectrum disorders. Advanced imaging modalities such as magnetic resonance imaging (MRI) and positron emission tomography (PET) have been instrumental in elucidating the neuroanatomic and functional alterations associated with these mutations.
View Article and Find Full Text PDFCereb Cortex
August 2025
Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
Statistical Parametric Mapping (SPM) is a statistical framework and open source software package for neuroimaging data analysis. Originally created by Karl Friston in the early 1990s, it has been used by a vast number of scientific studies over the last three decades. SPM has not only revolutionized the analysis of neuroimaging data but also catalyzed the development of cognitive neuroscience.
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