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Automated quantification of caudate atrophy by local registration of serial MRI: evaluation and application in Huntington's disease.

Authors :
Hobbs NZ
Henley SM
Wild EJ
Leung KK
Frost C
Barker RA
Scahill RI
Barnes J
Tabrizi SJ
Fox NC
Source :
NeuroImage [Neuroimage] 2009 Oct 01; Vol. 47 (4), pp. 1659-65. Date of Electronic Publication: 2009 Jun 10.
Publication Year :
2009

Abstract

Objective: Caudate atrophy rate measured from serial MRI is proposed as a biomarker of HD progression that may be of use in assessing putative disease-modifying agents. Manual measurement techniques are the most widely applied but are time-consuming. We describe and evaluate an automated technique based on a local registration and boundary shift integral (BSI) approach at the caudate-CSF and caudate-white matter boundaries; caudate boundary shift integral (CBSI).<br />Methods: Two-year caudate volume change was measured in controls, premanifest HD and early HD using the CBSI and compared with a detailed manual measure in terms of 1) raw caudate volume change, 2) group differentiation, 3) associations with clinical variables and 4) rater requirements. CBSI additivity was assessed by comparing measurements over a single scan pair (baseline-->2 years), with the sum of measurements from two scan pairs (baseline-->1 year-->2 years).<br />Results: Techniques produced comparable caudate volume change measurements, although CBSI under-reported by 0.04 ml relative to manual. Both techniques distinguished controls, premanifest and early HD with a stepwise increase in rates across groups. Higher rates (CBSI and manual) were associated with increased proximity to estimated disease onset but not clinical change scores. CBSI reduced rater requirements by 2/3 (2 h per subject) relative to manual for this three time-point investigation. CBSI measurements over one scan pair showed good agreement with the sum of measurements from two scan pairs.<br />Conclusions: CBSI results were comparable to a manual measure but with reduced rater requirements. CBSI may be of use in large-scale studies of HD.

Details

Language :
English
ISSN :
1095-9572
Volume :
47
Issue :
4
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
19523522
Full Text :
https://doi.org/10.1016/j.neuroimage.2009.06.003