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Comparison of Manual and Automated Determination of Hippocampal Volumes in MCI and Early AD

Institution:
1IU Center for Neuroimaging, Div. of Imaging Sciences, Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA.
2 Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA.
3Department of Psychiatry, Dartmouth Medical School, DHMC, Lebanon, NH, USA.
Publisher:
Springer
Publication Date:
Mar-2010
Journal:
Brain Imaging Behav
Volume Number:
4
Issue Number:
1
Pages:
86-95
Citation:
Brain Imaging Behav. 2010 Mar 1;4(1):86-95.
PubMed ID:
20454594
PMCID:
PMC2863347
Keywords:
Magnetic Resonance Imaging, segmentation, Hippocampus, cognitive complaints, mild cognitive impairment, Alzheimer's Disease
Appears in Collections:
NA-MIC, SLICER
Sponsors:
P30 AG010133/AG/NIA NIH HHS/United States
R01 AG019771/AG/NIA NIH HHS/United States
R01 CA101318/CA/NCI NIH HHS/United States
R03 EB008674/EB/NIBIB NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Shen L., Saykin A.J., Kim S., Firpi H.A., West J.D., Risacher S.L., McDonald B.C., McHugh T.L., Wishart H.A., Flashman L.A. Comparison of Manual and Automated Determination of Hippocampal Volumes in MCI and Early AD. Brain Imaging Behav. 2010 Mar 1;4(1):86-95. PMID: 20454594. PMCID: PMC2863347.
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MRI-based hippocampal volume analysis has been extensively employed given its potential as a biomarker for brain disorders such as Alzheimer's disease (AD), and accurate and efficient determination of hippocampal volumes from brain images is still a challenging issue. We compared an automated method, FreeSurfer (V4), with a published manual protocol for the determination of hippocampal volumes from T1-weighted MRI scans. Our study included MRI data from 125 older adult subjects: healthy controls with no significant cognitive complaints or deficits (HC, n=38), euthymic individuals with cognitive complaints (CC, n=39) but intact neuropsychological performance, and patients with amnestic mild cognitive impairment (MCI, n=37) or a clinical diagnosis of probable AD (AD, n=11). Pearson correlations and intraclass correlation coefficients (ICCs) were calculated to evaluate the relationship between results of the manual tracing and FreeSurfer methods and to estimate their agreement. Results indicated that these two methods derived highly correlated results with strong agreement. After controlling for the age, sex and intracranial volume in statistical group analysis, both the manual tracing and FreeSurfer methods yield similar patterns: both the MCI group and the AD group showed hippocampal volume reduction compared to both the HC group and the CC group, and the HC and CC groups did not differ. These comparisons suggest that FreeSurfer has the potential to be used in automated determination of hippocampal volumes for large-scale MCI/AD-related MRI studies, where manual methods are inefficient or not feasible.

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