ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2019
Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [
Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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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.
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Who cites it
8 citing papers in PubMed.
- A review of FDG-PET biomarker analysis methods in Parkinson's disease.Journal of Parkinson's disease · 2026Review
- IRMA: Machine learning-based harmonization ofEuropean journal of nuclear medicine and molecular imaging · 2025Article
- Investigating the aspect of asymmetry in brain-first versus body-first Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Alzheimer's disease pattern derived from relative cerebral flow as an alternative for the metabolic pattern using SSM/PCA.EJNMMI research · 2022Article
- SimPET-An open online platform for the Monte Carlo simulation of realistic brain PET data. Validation forMedical physics · 2021Article
- Co-registration Analysis of Fluorodopa and Fluorodeoxyglucose Positron Emission Tomography for Differentiating Multiple System Atrophy Parkinsonism Type From Parkinson's Disease.Frontiers in aging neuroscience · 2021Article
- Abnormal pattern of brain glucose metabolism in Parkinson's disease: replication in three European cohorts.European journal of nuclear medicine and molecular imaging · 2020Article
- Correlations of Neuropsychological and Metabolic Brain Changes in Parkinson's Disease and Other α-Synucleinopathies.Frontiers in neurology · 2019Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe implementation of spatial-covariance [
methodsFive healthy controls, 5 patients with idiopathic rapid eye movement sleep behavior disorder, and 5 patients with Parkinson's disease were scanned on one positron emission tomography/computed tomography system with multiple image reconstructions. In addition, one Hoffman 3D Brain Phantom was scanned on several positron emission tomography/computed tomography systems using various reconstructions. Effects of image contrast on PDRP scores were also examined.
resultsHuman and phantom raw PDRP scores were systematically influenced by scanner and reconstruction effects. PDRP scores correlated inversely to image contrast. A Gaussian spatial filter reduced contrast while decreasing intercenter score differences. DISCUSSION: Image contrast should be considered in harmonization efforts. A Gaussian filter may reduce noise and intercenter effects without sacrificing sensitivity. Phantom measurements will be important for correcting PDRP score offsets.
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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 Socratic graph.