ArticleScientific reports2025
Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain atrophy in NMOSD and MOGAD: a meta-analysis of volumetric and DTI biomarkers.Frontiers in neurology · 2025Pooled it
- Multiplatform Morphometric Profiling of Whole-Brain, Cerebellar Subregional, and Thalamic Nuclei Alterations in Pediatric Migraine Without Aura.Diagnostics (Basel, Switzerland) · 2026Article
- Evidence for direct and sleep-moderated relationships between aquaporin-4 genetic variants and Alzheimer's disease phenotypes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Deep grey nuclei automated assessment in acute-subacute phase of middle cerebral artery cortical stroke helps predict the 3-month outcome.Brain imaging and behavior · 2026Article
- Predicting multiple sclerosis from radiologically isolated syndrome using generative artificial intelligence.PLOS digital health · 2026Article
- Brain morphometry and cognition in late-onset glutaric aciduria type 1: scoping review and novel insights from a case report.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Comprehensive Morphometric MRI Assessment in Children with Breath-Holding Spells: Integration of Automated (Vol2Brain) and Semi-Automated (3D Slicer) Segmentation Methods.Tomography (Ann Arbor, Mich.) · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated brain volumetry shows promise in improving the screening and monitoring of neurodegenerative diseases. However, the reliability of measurements across different scanners and software remains uncertain. This study assessed the reliability of gray matter, white matter, and total brain volume measurements from seven volumetry tools, using six scanners across two scanning sessions, performed within 2 h the same day, in twelve subjects. Generalised estimating equations models showed significant effects of both software and scanner on all measurements with stronger effect of software (p < 0.001). Percentage of coefficient of variation (CV) was calculated to measure scan-rescan reliability. Median CV across scanners of AssemblyNet and AIRAscore was less than 0.2% for grey and white matter, and 0.09% for total brain volume; while FreeSurfer, FastSurfer, syngo.via, SPM12, and Vol2Brain had a CV greater than 0.2%. In Bland-Altman analysis there was no systematic difference, but limits of agreement differed greatly between methods. Based on these findings, we recommend using the same scanner and software combination across sessions to ensure that observed changes in brain volume are reliable and clinically valuable.
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