NDLI: 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

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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

Neuroinformatics : Volume 15, Issue 1, January 2017

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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

Content Provider	Springer Nature Link
Author	Manning, Emily N. Leung, Kelvin K. Nicholas, Jennifer M. Malone, Ian B. Cardoso, M. Jorge Schott, Jonathan M. Fox, Nick C. Barnes, Josephine
Copyright Year	2017
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.
Starting Page	215
Ending Page	226
Page Count	12
File Format	PDF
ISSN	15392791
Journal	Neuroinformatics
Volume Number	15
Issue Number	2
e-ISSN	15590089
Language	English
Publisher	Springer US
Publisher Date	2017-03-18
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Accelerated acquisition Alzheimer’s disease Boundary shift integral Brain atrophy Non-accelerated acquisition Image quality Neurosciences Bioinformatics Computational Biology/Bioinformatics Computer Application in Life Sciences Neurology
Content Type	Text
Resource Type	Article
Subject	Neuroscience Information Systems Software

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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

Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement

Comparison of accelerated and nonaccelerated MRI in ADNI: Effects on measures of brain and ventricular volumes and rates of atrophy

Comparison of accelerated and nonaccelerated MRI in ADNI: Effects on measures of brain and ventricular volumes and rates of atrophy

Optimizing Hippocampal Segmentation in Infants Utilizing MRI Post-Acquisition Processing

Sample Size Estimation for Alzheimer's Disease Trials from Japanese ADNI Serial Magnetic Resonance Imaging.

Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study

Assessing the reproducibility of the SienaX and Siena brain atrophy measures using the ADNI back-to-back MP-RAGE MRI scans

Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis

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

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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