Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions
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 bra...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-15283-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849766745002213376 |
|---|---|
| author | Eva Bürkle Ahmad Nazzal Alexander Debolski Ulrike Ernemann Tobias Lindig Benjamin Bender |
| author_facet | Eva Bürkle Ahmad Nazzal Alexander Debolski Ulrike Ernemann Tobias Lindig Benjamin Bender |
| author_sort | Eva Bürkle |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8703cd4249eb449e98b409f262f6e13e |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-8703cd4249eb449e98b409f262f6e13e2025-08-20T03:04:29ZengNature PortfolioScientific Reports2045-23222025-08-011511910.1038/s41598-025-15283-3Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutionsEva Bürkle0Ahmad Nazzal1Alexander Debolski2Ulrike Ernemann3Tobias Lindig4Benjamin Bender5Department of Diagnostic and Interventional Neuroradiology, University Hospital TübingenAIRAmed GmbHDepartment of Neurosurgery, University Hospital TübingenDepartment of Diagnostic and Interventional Neuroradiology, University Hospital TübingenDepartment of Diagnostic and Interventional Neuroradiology, University Hospital TübingenDepartment of Diagnostic and Interventional Neuroradiology, University Hospital TübingenAbstract 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.https://doi.org/10.1038/s41598-025-15283-3 |
| spellingShingle | Eva Bürkle Ahmad Nazzal Alexander Debolski Ulrike Ernemann Tobias Lindig Benjamin Bender Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions Scientific Reports |
| title | Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions |
| title_full | Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions |
| title_fullStr | Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions |
| title_full_unstemmed | Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions |
| title_short | Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions |
| title_sort | scan rescan reliability assessment of brain volumetric analysis across scanners and software solutions |
| url | https://doi.org/10.1038/s41598-025-15283-3 |
| work_keys_str_mv | AT evaburkle scanrescanreliabilityassessmentofbrainvolumetricanalysisacrossscannersandsoftwaresolutions AT ahmadnazzal scanrescanreliabilityassessmentofbrainvolumetricanalysisacrossscannersandsoftwaresolutions AT alexanderdebolski scanrescanreliabilityassessmentofbrainvolumetricanalysisacrossscannersandsoftwaresolutions AT ulrikeernemann scanrescanreliabilityassessmentofbrainvolumetricanalysisacrossscannersandsoftwaresolutions AT tobiaslindig scanrescanreliabilityassessmentofbrainvolumetricanalysisacrossscannersandsoftwaresolutions AT benjaminbender scanrescanreliabilityassessmentofbrainvolumetricanalysisacrossscannersandsoftwaresolutions |