Literature DB >> 17174572

Improved reliability of hippocampal atrophy rate measurement in mild cognitive impairment using fluid registration.

L A van de Pol1, J Barnes, R I Scahill, C Frost, E B Lewis, R G Boyes, R A van Schijndel, P Scheltens, N C Fox, F Barkhof.   

Abstract

MRI-derived rates of hippocampal atrophy may serve as surrogate markers of disease progression in mild cognitive impairment (MCI). Manual delineation is the gold standard in hippocampal volumetry; however, this technique is time-consuming and subject to errors. We aimed to compare regional non-linear (fluid) registration measurement of hippocampal atrophy rates against manual delineation in MCI. Hippocampi of 18 subjects were manually outlined twice on MRI scan-pairs (interval+/-SD: 2.01+/-0.11 years), and volumes were subtracted to calculate change over time. Following global affine and local rigid registration, regional fluid registration was performed from which atrophy rates were derived from the Jacobian determinants over the hippocampal region. Atrophy rates as derived by fluid registration were computed using both forward (repeat onto baseline) and backward (baseline onto repeat) registration. Reliability for both methods and agreement between methods was assessed. Mean+/-SD hippocampal atrophy rates (%/year) derived by manual delineation were: left: 2.13+/-1.62; right: 2.36+/-1.78 and for regional fluid registration: forward: left: 2.39+/-1.68; right: 2.49+/-1.52 and backward: left: 2.21+/-1.51; right: 2.42+/-1.49. Mean hippocampal atrophy rates did not differ between both methods. Reliability for manual hippocampal volume measurements (cross-sectional) was high (intraclass correlation coefficient (ICC): baseline and follow-up, left and right, >0.99). However, the resulting ICC for manual measurements of hippocampal volume change (longitudinal) was considerably lower (left: 0.798; right: 0.850) compared with regional fluid registration (forward: left: 0.985; right: 0.988 and backward: left: 0.975; right: 0.989). We conclude that regional fluid registration is more reliable than manual delineation in assessing hippocampal atrophy rates, without sacrificing sensitivity to change. This method may be useful to quantify hippocampal volume change, given the reduction in operator time and improved precision.

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Year:  2006        PMID: 17174572     DOI: 10.1016/j.neuroimage.2006.10.033

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  15 in total

1.  Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls.

Authors:  Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Arthur W Toga; Clifford R Jack; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage       Date:  2008-07-16       Impact factor: 6.556

2.  The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer's disease.

Authors:  Xiaoying Tang; Dominic Holland; Anders M Dale; Laurent Younes; Michael I Miller
Journal:  Hum Brain Mapp       Date:  2015-02-03       Impact factor: 5.038

Review 3.  The clinical use of structural MRI in Alzheimer disease.

Authors:  Giovanni B Frisoni; Nick C Fox; Clifford R Jack; Philip Scheltens; Paul M Thompson
Journal:  Nat Rev Neurol       Date:  2010-02       Impact factor: 42.937

4.  Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease.

Authors:  Clifford R Jack; Frederik Barkhof; Matt A Bernstein; Marc Cantillon; Patricia E Cole; Charles Decarli; Bruno Dubois; Simon Duchesne; Nick C Fox; Giovanni B Frisoni; Harald Hampel; Derek L G Hill; Keith Johnson; Jean-François Mangin; Philip Scheltens; Adam J Schwarz; Reisa Sperling; Joyce Suhy; Paul M Thompson; Michael Weiner; Norman L Foster
Journal:  Alzheimers Dement       Date:  2011-07       Impact factor: 21.566

5.  Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.

Authors:  Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Arthur W Toga; Clifford R Jack; Norbert Schuff; Michael W Weiner; Paul M Thompson
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

6.  Baseline CSF p-tau levels independently predict progression of hippocampal atrophy in Alzheimer disease.

Authors:  W J P Henneman; H Vrenken; J Barnes; I C Sluimer; N A Verwey; M A Blankenstein; M Klein; N C Fox; P Scheltens; F Barkhof; W M van der Flier
Journal:  Neurology       Date:  2009-09-22       Impact factor: 9.910

7.  In vivo hippocampal measurement and memory: a comparison of manual tracing and automated segmentation in a large community-based sample.

Authors:  Nicolas Cherbuin; Kaarin J Anstey; Chantal Réglade-Meslin; Perminder S Sachdev
Journal:  PLoS One       Date:  2009-04-16       Impact factor: 3.240

8.  Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition.

Authors:  Alex D Leow; Igor Yanovsky; Neelroop Parikshak; Xue Hua; Suh Lee; Arthur W Toga; Clifford R Jack; Matt A Bernstein; Paula J Britson; Jeffrey L Gunter; Chadwick P Ward; Bret Borowski; Leslie M Shaw; John Q Trojanowski; Adam S Fleisher; Danielle Harvey; John Kornak; Norbert Schuff; Gene E Alexander; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage       Date:  2009-04-15       Impact factor: 6.556

9.  Hippocampal atrophy rates in Alzheimer disease: added value over whole brain volume measures.

Authors:  W J P Henneman; J D Sluimer; J Barnes; W M van der Flier; I C Sluimer; N C Fox; P Scheltens; H Vrenken; F Barkhof
Journal:  Neurology       Date:  2009-03-17       Impact factor: 9.910

10.  Longitudinal measures of cholinergic forebrain atrophy in the transition from healthy aging to Alzheimer's disease.

Authors:  Michel Grothe; Helmut Heinsen; Stefan Teipel
Journal:  Neurobiol Aging       Date:  2012-11-15       Impact factor: 4.673

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