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Proof of principle for the clinical use of a CE-certified automatic imaging analysis tool in rare diseases studying hereditary spastic paraplegia type 4 (SPG4)

Authors :
Lindig, T.
https://orcid.org/0000-0002-8573-0656
Bender, B.
https://orcid.org/0000-0002-3205-4631
Bürkle, E.
Kumar, V.
https://orcid.org/0000-0001-9514-2754
Ernemann, U.
Schöls, L.
Rattay, T.
Source :
Scientific Reports
Publication Year :
2022

Abstract

Usage of MR imaging biomarkers is limited to experts. Automatic quantitative reports provide access for clinicians to data analysis. Automated data analysis was tested for usability in a small cohort of patients with hereditary spastic paraplegia type 4 (SPG4). We analyzed 3T MRI 3D-T1 datasets of n = 25 SPG4 patients and matched healthy controls using a commercial segmentation tool (AIRAscore structure 2.0.1) and standard VBM. In SPG4 total brain volume was reduced by 27.6 percentiles (p = 0.001) caused mainly by white matter loss (− 30.8th, p

Details

Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.od......1874..583da0bca0e063d6798ee48b9d34a74b