ArticleFrontiers in aging neuroscience2021
Inter- and Intra-Scanner Variability of Automated Brain Volumetry on Three Magnetic Resonance Imaging Systems in Alzheimer's Disease and Controls.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 40 citations in OpenAlex.
- Assessing Quality and Adherence to PI-RADSv2.1 Minimum Technical Standards of Prostate MRI in NRG-GU005.Journal of magnetic resonance imaging : JMRI · 2026Trial
- Subclinical epileptiform activity in the Alzheimer continuum: association with disease, cognition and detection method.Alzheimer's research & therapy · 2024Trial
- Feasibility Study on Non-Invasive Methods for Bladder Biomechanics During Voiding Using Uro-Dynamic MRI.Bioengineering (Basel, Switzerland) · 2026Article
- Disrupted drainage in the aging brain: Meningeal lymphatic decline as a convergent axis of vulnerability.Neurobiology of aging · 2026Review
- Enhanced monitoring of Alzheimer's disease brain atrophy using composite value ratios of volumes.Brain communications · 2026Article
- Volumetric response after closure of a spinal CSF leak in patients with spontaneous intracranial hypotension: a multicompartmental longitudinal study.Journal of neurointerventional surgery · 2025Article
- Assessing the link between cerebellar volume and cognitive function in Alzheimer's disease: a pilot study.Scientific reports · 2025Article
- Exosomal Non-Coding RNAs as Potential Biomarkers for Alzheimer's Disease: Advances and Perspectives in Translational Research.International journal of molecular sciences · 2025Review
- Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions.Scientific reports · 2025Article
- Analysis of Factors Affecting Quality in Structural Magnetic Resonance Images.Human brain mapping · 2025Article
- Specific Contribution of the Cerebellar Inferior Posterior Lobe to Motor Learning in Degenerative Cerebellar Ataxia.Cerebellum (London, England) · 2025Article
- Volumetry of Selected Brain Regions-Can We Compare MRI Examinations of Different Manufacturers and Field Strengths?Clinical neuroradiology · 2025Article
- Brain age in multiple sclerosis: a study with deep learning and traditional machine learning.Brain communications · 2025Article
- High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets.Journal of neural engineering · 2024Article
- Brain age as a biomarker for pathological versus healthy ageing - a REMEMBER study.Alzheimer's research & therapy · 2024Article
- Exploring brain plasticity in developmental dyslexia through implicit sequence learning.NPJ science of learning · 2024Article
- Article
- Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Quantitative brain morphometry identifies cerebellar, cortical, and subcortical gray and white matter atrophy in late-onset Tay-Sachs disease.Journal of inherited metabolic disease · 2024Article
- Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes.Network neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic Resonance Imaging (MRI) has become part of the clinical routine for diagnosing neurodegenerative disorders. Since acquisitions are performed at multiple centers using multiple imaging systems, detailed analysis of brain volumetry differences between MRI systems and scan-rescan acquisitions can provide valuable information to correct for different MRI scanner effects in multi-center longitudinal studies. To this end, five healthy controls and five patients belonging to various stages of the AD continuum underwent brain MRI acquisitions on three different MRI systems (Philips Achieva dStream 1.5T, Philips Ingenia 3T, and GE Discovery MR750w 3T) with harmonized scan parameters. Each participant underwent two subsequent MRI scans per imaging system, repeated on three different MRI systems within 2 h. Brain volumes computed by icobrain dm (v5.0) were analyzed using absolute and percentual volume differences, Dice similarity (DSC) and intraclass correlation coefficients, and coefficients of variation (CV). Harmonized scans obtained with different scanners of the same manufacturer had a measurement error closer to the intra-scanner performance. The gap between intra- and inter-scanner comparisons grew when comparing scans from different manufacturers. This was observed at image level (image contrast, similarity, and geometry) and translated into a higher variability of automated brain volumetry. Mixed effects modeling revealed a significant effect of scanner type on some brain volumes, and of the scanner combination on DSC. The study concluded a good intra- and inter-scanner reproducibility, as illustrated by an average intra-scanner (inter-scanner) CV below 2% (5%) and an excellent overlap of brain structure segmentation (mean DSC > 0.88).
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.