Literature DB >> 28316055

A Comparison of Accelerated and Non-accelerated MRI Scans for Brain Volume and Boundary Shift Integral Measures of Volume Change: Evidence from the ADNI Dataset.

Emily N Manning1, Kelvin K Leung2, Jennifer M Nicholas3, Ian B Malone2, M Jorge Cardoso2,4, Jonathan M Schott2, Nick C Fox2, Josephine Barnes2.   

Abstract

The aim of this study was to assess whether the use of accelerated MRI scans in place of non-accelerated scans influenced brain volume and atrophy rate measures in controls and subjects with mild cognitive impairment and Alzheimer's disease. We used data from 861 subjects at baseline, 573 subjects at 6 months and 384 subjects at 12 months from the Alzheimer's Disease Neuroimaging Initiative (ADNI). We calculated whole-brain, ventricular and hippocampal atrophy rates using the k-means boundary shift integral (BSI). Scan quality was visually assessed and the proportion of good quality accelerated and non-accelerated scans compared. We also compared MMSE scores, vascular burden and age between subjects with poor quality scans with those with good quality scans. Finally, we estimated sample size requirements for a hypothetical clinical trial when using atrophy rates from accelerated scans and non-accelerated scans. No significant differences in whole-brain, ventricular and hippocampal volumes and atrophy rates were found between accelerated and non-accelerated scans. Twice as many non-accelerated scan pairs suffered from at least some motion artefacts compared with accelerated scan pairs (p ≤ 0.001), which may influence the BSI. Subjects whose accelerated scans had significant motion had a higher mean vascular burden and age (p ≤ 0.05) whilst subjects whose non-accelerated scans had significant motion had poorer MMSE scores (p ≤ 0.05). No difference in estimated sample size requirements was found when using accelerated vs. non-accelerated scans. Accelerated scans reduce scan time and are better tolerated. Therefore it may be advantageous to use accelerated over non-accelerated scans in clinical trials that use ADNI-type protocols, especially in more cognitively impaired subjects.

Entities:  

Keywords:  Accelerated acquisition; Alzheimer’s disease; Boundary shift integral; Brain atrophy; Image quality; Non-accelerated acquisition

Mesh:

Year:  2017        PMID: 28316055      PMCID: PMC5443885          DOI: 10.1007/s12021-017-9326-0

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  19 in total

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  6 in total

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Authors:  Cassidy M Fiford; Gerard R Ridgway; David M Cash; Marc Modat; Jennifer Nicholas; Emily N Manning; Ian B Malone; Geert Jan Biessels; Sebastien Ourselin; Owen T Carmichael; M Jorge Cardoso; Josephine Barnes
Journal:  Neurobiol Aging       Date:  2017-11-14       Impact factor: 4.673

3.  Biological Features of Reversion from Mild Cognitive Impairment to Normal Cognition: A Study of Cerebrospinal Fluid Markers and Brain Volume.

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Journal:  Front Neurol       Date:  2021-10-22       Impact factor: 4.003

5.  Presumed small vessel disease, imaging and cognition markers in the Alzheimer's Disease Neuroimaging Initiative.

Authors:  Cassidy M Fiford; Carole H Sudre; Alexandra L Young; Amy Macdougall; Jennifer Nicholas; Emily N Manning; Ian B Malone; Phoebe Walsh; Olivia Goodkin; Hugh G Pemberton; Frederik Barkhof; Daniel C Alexander; M Jorge Cardoso; Geert Jan Biessels; Josephine Barnes
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  6 in total

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