ArticleNeuroImage. Clinical2017
Evaluation of early-phase [
Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed.
- Longitudinal evaluation of surrogates of regional cerebral blood flow computed from dynamic amyloid PET imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Trial
- Automated PET tracer classification in multi-site, multi-cohort studies using deep learning.EJNMMI research · 2026Article
- Assessment of early-phase [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Hypoperfusion in early-phase amyloid PET as a predictor of cognitive decline in Alzheimer's disease.European journal of nuclear medicine and molecular imaging · 2026Article
- Differentiating Early Alzheimer's Disease from MCI Using Comprehensive Semiquantitative Parameters in Dual-Phase Amyloid PET: A Pilot Study.Medicina (Kaunas, Lithuania) · 2026Article
- Mapping Alzheimer's disease heterogeneity with molecular imaging biomarkers.European journal of clinical investigation · 2026Review
- Correlation and Interchangeability of Amyloid, Tau, and Glucose Metabolism PET in Mild Cognitive Impairment and Alzheimer: A Review.Brain sciences · 2025Review
- Evaluation of early-phaseJournal of Alzheimer's disease : JAD · 2025Article
- Agreement between early-phase amyloid-PET and pulsed arterial spin labeling in a memory clinic cohort.Journal of molecular medicine (Berlin, Germany) · 2025Article
- Correlation of early-phase β-amyloid positron-emission-tomography and neuropsychological testing in patients with Alzheimer's disease.European journal of nuclear medicine and molecular imaging · 2025Article
- Dual-Phase C-11 PiB PET Images for Detecting Tau Pathology in Cerebral Amyloid Angiopathy.Annals of clinical and translational neurology · 2025Article
- Early-phaseEuropean journal of nuclear medicine and molecular imaging · 2025Article
- Alzheimer-typical temporo-parietal atrophy and hypoperfusion are associated with a more significant cholinergic impairment in amnestic neurodegenerative syndromes.Journal of Alzheimer's disease : JAD · 2025Article
- Assessment of [European journal of nuclear medicine and molecular imaging · 2024Article
- Early-Frame [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- The use of neuroimaging techniques in the early and differential diagnosis of dementia.Molecular psychiatry · 2023Review
- Feasibility evaluation of middle-phaseQuantitative imaging in medicine and surgery · 2023Article
- Generation of ConventionalMedicina (Kaunas, Lithuania) · 2023Article
- Assessment of perfusion deficit with early phases of [European journal of nuclear medicine and molecular imaging · 2023Article
- Alzheimer's Disease Prediction Using Attention Mechanism with Dual-PhaseNuclear medicine and molecular imaging · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesIn recent years several [
methodsAll subjects were recruited with clinical suspicion of dementia due to neurodegenerative disease. FDG PET was undertaken by conventional methods, and amyloid PET was performed with FBB, with early recordings for the initial 10 min (early-phase FBB), and late recordings at 90-110 min p.i. (late-phase FBB). Regional SUVR with cerebellar and global mean normalization were calculated for early-phase FBB and FDG PET. Pearson correlation coefficients between FDG and early-phase FBB were calculated for predefined cortical brain regions. Furthermore, a visual interpretation of disease pattern using 3-dimensional stereotactic surface projections (3D-SSP) was performed, with assessment of intra-reader agreement.
resultsAmong a total of 33 patients (mean age 67.5 ± 11.0 years) included in the study, 18 were visually rated amyloid-positive, and 15 amyloid-negative based on late-phase FBB scans. Correlation coefficients for early-phase FBB vs. FDG scans displayed excellent agreement in all target brain regions for global mean normalization. Cerebellar normalization gave strong, but significantly lower correlations. 3D representations of early-phase FBB visually resembled the corresponding FDG PET images, irrespective of the amyloid-status of the late FBB scans.
conclusionsEarly-phase FBB acquisitions correlate on a relative quantitative and visual level with FDG PET scans, irrespective of the amyloid plaque density assessed in late FBB imaging. Thus, early-phase FBB uptake depicts a metabolism-like image, suggesting it as a valid surrogate marker for synaptic dysfunction, which could ultimately circumvent the need for additional FDG PET investigation in diagnosis of dementia.
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.