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. 2017 Dec 27:17:1006-1018.
doi: 10.1016/j.nicl.2017.12.036. eCollection 2018.

Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2

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Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2

Susanne G Mueller et al. Neuroimage Clin. .

Abstract

Objective: Subfield-specific measurements provide superior information in the early stages of neurodegenerative diseases compared to global hippocampal measurements. The overall goal was to systematically compare the performance of five representative manual and automated T1 and T2 based subfield labeling techniques in a sub-set of the ADNI2 population.

Methods: The high resolution T2 weighted hippocampal images (T2-HighRes) and the corresponding T1 images from 106 ADNI2 subjects (41 controls, 57 MCI, 8 AD) were processed as follows. A. T1-based: 1. Freesurfer + Large-Diffeomorphic-Metric-Mapping in combination with shape analysis. 2. FreeSurfer 5.1 subfields using in-vivo atlas. B. T2-HighRes: 1. Model-based subfield segmentation using ex-vivo atlas (FreeSurfer 6.0). 2. T2-based automated multi-atlas segmentation combined with similarity-weighted voting (ASHS). 3. Manual subfield parcellation. Multiple regression analyses were used to calculate effect sizes (ES) for group, amyloid positivity in controls, and associations with cognitive/memory performance for each approach.

Results: Subfield volumetry was better than whole hippocampal volumetry for the detection of the mild atrophy differences between controls and MCI (ES: 0.27 vs 0.11). T2-HighRes approaches outperformed T1 approaches for the detection of early stage atrophy (ES: 0.27 vs.0.10), amyloid positivity (ES: 0.11 vs 0.04), and cognitive associations (ES: 0.22 vs 0.19).

Conclusions: T2-HighRes subfield approaches outperformed whole hippocampus and T1 subfield approaches. None of the different T2-HghRes methods tested had a clear advantage over the other methods. Each has strengths and weaknesses that need to be taken into account when deciding which one to use to get the best results from subfield volumetry.

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Figures

Fig. 1
Fig. 1
Parcellation schemes. Manual, manual parcellation labels; green, entorhinal cortex; blue, subiculum; red, CA1; yellow, CA1–2 transition zone; maroon, CA3&dentate. FS 6.0, labels of Freesurfer 6.0 subfield parcellation; yellow, parasubiculum; purple, presubiculum; blue, subiculum; red, CA1, green, CA2/3; tan, CA4; brown, molecular layer; light blue, GC-DG; light green, HATA; lilac, fimbria, ASHS parcellation. FS Sub, Freesurfer 5.1 subfield parcellation labels; yellow, presubiclum; green, subiculum; red, CA1; blue, CA2/3; bright blue, hippocampal fissure; lilac, fimbria; shape analysis, green, hippocampal boundaries. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fig. 2
Fig. 2
Bar plots of effect sizes for combined labels. CA corresponds to all cornu ammonis labels, DG corresponds to the dentate gyrus and Sub to the subiculum. Please see text for a description how these labels were generated for each of the approaches. “Group” refers to the ability to detect a group effect in a population consisting of cognitively normal elderly controls, non-demented subjects with different degrees of mild cognitive impairment and subjects diagnosed with Alzheimer's Disease. ‘MCI’ refers to the ability to detect a group effect on subfield and mesio-temporal volumes in a population consisting of cognitively normal elderly controls, and non-demented subjects with different degrees of mild cognitive impairment. ‘Abeta’ is the ability to detect an effect of amyloid positivity on subfield and mesio-temporal volumes in cognitively normal subjects.

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