ReviewBioMed research international2014
A survey of FDG- and amyloid-PET imaging in dementia and GRADE analysis.
Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers, 2 of them syntheses that pooled it.
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
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic Accuracy of Memory Measures in Alzheimer's Dementia and Mild Cognitive Impairment: a Systematic Review and Meta-Analysis.Neuropsychology review · 2017Pooled it
- Stage-stratified benefits of AI-radiomics PET in early Alzheimer's disease: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Feature integration of [18F]FDG PET brain imaging using deep learning for sensitive cognitive decline detection.PloS one · 2026Article
- Generation of ConventionalMedicina (Kaunas, Lithuania) · 2023Article
- Software compatibility analysis for quantitative measures of [EJNMMI research · 2023Article
- The Use of F-18 FDG PET-Based Cognitive Reserve to Evaluate Cognitive Decline in Alzheimer's Disease, Independent of Educational Influence.Medicina (Kaunas, Lithuania) · 2023Article
- Alzheimer's Dementia: The Emerging Role of Positron Emission Tomography.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2022Review
- Quantification of amyloid PET for future clinical use: a state-of-the-art review.European journal of nuclear medicine and molecular imaging · 2022Review
- Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection.Deep generative models : Second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings. MICCAI Workshop on Deep Generative Models (2nd : 2022 : Singapore) · 2022Article
- Validation of FDG-PET datasets of normal controls for the extraction of SPM-based brain metabolism maps.European journal of nuclear medicine and molecular imaging · 2021Article
- Clinical impact ofEuropean journal of nuclear medicine and molecular imaging · 2021Article
- Influence of Physical Activity Levels and Functional Capacity on Brain β-Amyloid Deposition in Older Women.Frontiers in aging neuroscience · 2021Article
- Heterogeneity of Tau Deposition and Microvascular Involvement in MCI and AD.Current Alzheimer research · 2021Article
- Detection Gap of Right-Asymmetric Neuronal Degeneration by CERAD Test Battery in Alzheimer's Disease.Frontiers in aging neuroscience · 2021Article
- Derivation and utility of an Aβ-PET pathology accumulation index to estimate Aβ load.Neurology · 2020Article
- No evidence for amyloid pathology as a key mediator of neurodegeneration post-stroke - a seven-year follow-up study.BMC neurology · 2020Article
- Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [Alzheimer's & dementia (Amsterdam, Netherlands) · 2019Article
- Brain glucose metabolism in Lewy body dementia: implications for diagnostic criteria.Alzheimer's research & therapy · 2019Article
- Effect of age, ethnicity, sex, cognitive status and APOE genotype on amyloid load and the threshold for amyloid positivity.NeuroImage. Clinical · 2019Article
- Assessing FDG-PET diagnostic accuracy studies to develop recommendations for clinical use in dementia.European journal of nuclear medicine and molecular imaging · 2018Review
Corrections and comments
- Erratum issuedDaniela, Perani [corrected to Perani, Daniela]; Orazio, Schillaci [corrected to Schillaci, Orazio]; Alessandro, Padovani [corrected to Padovani, Alessandro]; Mariano, Nobili Flavio [corrected to Nobili, Flavio Mariano]; Leonardo, Iaccarino [corrected to Ia
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PET based tools can improve the early diagnosis of Alzheimer's disease (AD) and differential diagnosis of dementia. The importance of identifying individuals at risk of developing dementia among people with subjective cognitive complaints or mild cognitive impairment has clinical, social, and therapeutic implications. Within the two major classes of AD biomarkers currently identified, that is, markers of pathology and neurodegeneration, amyloid- and FDG-PET imaging represent decisive tools for their measurement. As a consequence, the PET tools have been recognized to be of crucial value in the recent guidelines for the early diagnosis of AD and other dementia conditions. The references based recommendations, however, include large PET imaging literature based on visual methods that greatly reduces sensitivity and specificity and lacks a clear cut-off between normal and pathological findings. PET imaging can be assessed using parametric or voxel-wise analyses by comparing the subject's scan with a normative data set, significantly increasing the diagnostic accuracy. This paper is a survey of the relevant literature on FDG and amyloid-PET imaging aimed at providing the value of quantification for the early and differential diagnosis of AD. This allowed a meta-analysis and GRADE analysis revealing high values for PET imaging that might be useful in considering recommendations.
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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 OpenQuestion graph.