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)

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...

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Veröffentlicht in:	Scientific reports 2022-12, Vol.12 (1), p.22075-22075, Article 22075
Hauptverfasser:	Lindig, Tobias, Bender, Benjamin, Bürkle, Eva, Kumar, Vinod, Ernemann, Ulrike, Schöls, Ludger, Rattay, Tim W.
Format:	Artikel
Sprache:	eng
Schlagworte:	692/617/375/1917 692/617/375/346 692/617/375/364 692/617/375/365 Atrophy Brain - diagnostic imaging Data analysis Genetic disorders Hereditary spastic paraplegia Humanities and Social Sciences Humans Image processing Magnetic resonance imaging Magnetic Resonance Imaging - methods Mesencephalon multidisciplinary Neuroimaging Paralysis Paraplegia Pons Rare Diseases Science Science (multidisciplinary) Segmentation Spastic Paraplegia, Hereditary - genetics Spasticity Substantia alba Substantia grisea Ventricle
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Zusammenfassung:	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
ISSN:	2045-2322 2045-2322
DOI:	10.1038/s41598-022-25545-z