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Erschienen in: Brain Topography 1/2013

01.01.2013 | Brief Communication

A Short-Term Scan–Rescan Reliability Test Measuring Brain Tissue and Subcortical Hyperintensity Volumetrics Obtained Using the Lesion Explorer Structural MRI Processing Pipeline

verfasst von: Joel Ramirez, Christopher J. M. Scott, Sandra E. Black

Erschienen in: Brain Topography | Ausgabe 1/2013

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Abstract

Lesion Explorer (LE) is a reliable and comprehensive MRI-derived tissue segmentation and brain region parcellation processing pipeline for obtaining intracranial tissue and subcortical hyperintensity (SH) volumetrics. The processing pipeline segments: gray (GM) and white matter (WM); sulcal (sCSF) and ventricular cerebrospinal fluid (vCSF); periventricular (pvSH) and deep white subcortical hyperintensities (dwSH); and cystic fluid filled lacunar-like infarcts (Lacunar); into 26 regions of interest. A short-term scan–rescan reliability test was performed on 20 healthy volunteers: 10 older (mean = 77.7 years, SD = 11.1) and 10 younger (mean = 29.4 years, SD = 7.1). Each participant was scanned twice with an average interscan interval of 15.4 days (range: 29 min–50 days). Results suggest low technique-related error as indicated by excellent intraclass correlation coefficient (ICC) results, with ICCs above 0.90 (p < 0.05) for GM, WM, and CSF, in all 26 regions of interest (13 per hemisphere). Ventricular and lesion sub-type (pvSH, dwSH, and Lacunar) volumes also showed high scan–rescan reliability (dwSH = 0.9998, pvSH = 0.9998, Lacunar = 0.9859, p < 0.01). As indicated by the results of this short-term scan–rescan study, the LE structural MRI processing pipeline can be applied for longitudinal volumetric analyses with confidence
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Metadaten
Titel
A Short-Term Scan–Rescan Reliability Test Measuring Brain Tissue and Subcortical Hyperintensity Volumetrics Obtained Using the Lesion Explorer Structural MRI Processing Pipeline
verfasst von
Joel Ramirez
Christopher J. M. Scott
Sandra E. Black
Publikationsdatum
01.01.2013
Verlag
Springer US
Erschienen in
Brain Topography / Ausgabe 1/2013
Print ISSN: 0896-0267
Elektronische ISSN: 1573-6792
DOI
https://doi.org/10.1007/s10548-012-0228-z

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