ReviewEuropean radiology2025
The basics of PET molecular imaging in neurodegenerative disorders with dementia and/or parkinsonism.
Review in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Mapping the Synaptome in Neurodegeneration: Emerging Clinical Applications of SV2A PET Imaging.Molecular diagnosis & therapy · 2026Article
- Molecular Mechanisms of Neurodegenerative Diseases: Emerging Biomarkers and Therapeutic Targets.Brain sciences · 2026Review
- Predictive modeling for early diagnosis of dementia using sequential data analysis and data mining.Scientific reports · 2026Article
- Vascular Cognitive Impairment and Dementia: Clinical Features, Neuropathology, and Biomarkers.Journal of the American College of Cardiology · 2026Review
- Mapping Alzheimer's disease heterogeneity with molecular imaging biomarkers.European journal of clinical investigation · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Positron emission tomography (PET) imaging biomarkers have become crucial in understanding and diagnosing neurodegenerative disorders. PET imaging allows for the in vivo quantification of molecular targets with high sensitivity, aiding in the study of disease pathophysiology and progression from preclinical stages. By visualising specific molecular pathologies, PET biomarkers enable a shift from symptom-based to biology-based definitions of neurodegenerative diseases, allowing for earlier and more accurate detection and diagnosis. This has significant implications for developing and testing new therapies aimed at modifying disease course. In this review, we will go through the standards of PET imaging in the evaluation of neurodegenerative disorders. Specifically, we will review PET molecular imaging of amyloid-β plaques, tau pathology, as well as the effect of neurodegeneration on neuronal activity in different disorders. Moreover, we will revise PET tracers targeting neurotransmitter systems such as the dopaminergic system which can detect early functional changes in movement disorders. Issues related to methods, image interpretation, normal findings and mimics will be an important part of this review. KEY POINTS: Question A review of PET molecular imaging tools for assisting the clinical diagnosis of patients presenting with cognitive impairment or parkinsonism and suspected neurodegenerative disease. Findings PET molecular imaging tools vary widely in their image acquisition protocols and image interpretation, allowing us to study different features of neurodegenerative diseases. Clinical relevance The majority of PET molecular imaging tools are currently in use in our clinical practice. Despite the differences between them, standardised visual reading methods and specific semi-quantitative parameters have been established, allowing for their use.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.