Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions

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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Publication Details

Journal
Scientific Reports
Published
2025-08-14
DOI
https://doi.org/10.1038/s41598-025-15283-3
Citations
2
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
2.48

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article

Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions

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2 citations
Scientific Reports
Industrial Vision Systems and Defect Detection
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article

Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions

Eva Bürkle, Tobias Lindig, Benjamin Bender, Ulrike Ernemann, Alexander Debolski, Ahmad Nazzal
article en
2 citations

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.

Scientific ReportsVol. 15(1)
Konrad-Adenauer-Stiftung (DE), Max Planck Institute for Biological Cybernetics (DE), University Children's Hospital Tübingen (DE)
Eberhard Karls Universität Tübingen
Openalex Percentile: Top 9%
Industrial Vision Systems and Defect Detection
2.48
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