Abstract
Original language | English |
---|---|
Article number | 102008 |
Journal | NeuroImage Clin. |
Volume | 24 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- Freesurfer
- Hippocampal atrophy
- Linear mixed-effect model
- Magnetic resonance imaging
- Stroke
- aged
- Article
- brain atrophy
- brain ischemia
- brain size
- controlled study
- hippocampus
- human
- image segmentation
- left hemisphere
- major clinical study
- neuroimaging
- nuclear magnetic resonance imaging
- priority journal
- recurrent disease
- right hemisphere
- stroke patient
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Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques : NeuroImage: Clinical. / Khlif, M.S.; Werden, E.; Egorova, N. et al.
In: NeuroImage Clin., Vol. 24, 102008, 2019.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques
T2 - NeuroImage: Clinical
AU - Khlif, M.S.
AU - Werden, E.
AU - Egorova, N.
AU - Boccardi, M.
AU - Redolfi, A.
AU - Bird, L.
AU - Brodtmann, A.
N1 - Export Date: 10 February 2020 Correspondence Address: Khlif, M.S.; The Florey Institute for Neuroscience and Mental Health, University of MelbourneAustralia Tradenames: AdaBoost; FreeSurfer; Tim Trio, Siemens, Germany Manufacturers: Siemens, Germany Funding details: National Health and Medical Research Council, NHMRC, APP1020526 Funding details: Brain Foundation Funding details: Sidney Myer Fund and Myer Foundation Funding details: Australian Research Council, ARC, DE180100893 Funding details: State Government of Victoria Funding text 1: This work was supported by the National Health and Medical Research Council project grant ( APP1020526 ), the Brain Foundation , Wicking Trust, Collie Trust, and Sidney and Fiona Myer Family Foundation. The Florey Institute of Neuroscience and Mental Health acknowledges the strong support from the Victorian Government and in particular the funding from the Operational Infrastructure Support Grant. The authors acknowledge the facilities, and the scientific and technical assistance of the National Imaging Facility at the Florey Node. The authors would also like to thank the Victorian Life Sciences Computation Initiative in the University of Melbourne ( http://www.vlsci.org.au/ ) for support of data supercomputing in SGI Altix XE Cluster. N.E. was supported by the Australian Research Council (DE180100893). References: Aerts, H., Fias, W., Caeyenberghs, K., Marinazzo, D., "Brain networks under attack: robustness properties and the impact of lesions (2016) Brain, 139, pp. 3063-3083. , (Pt 12); Apfel, B.A., Ross, J., Hlavin, J., Meyerhoff, D.J., Metzler, T.J., Marmar, C.R., Weiner, M.W., Neylan, T.C., "Hippocampal volume differences in gulf war veterans with current versus lifetime posttraumatic stress disorder symptoms (2011) Biol. 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PY - 2019
Y1 - 2019
N2 - We assessed first-year hippocampal atrophy in stroke patients and healthy controls using manual and automated segmentations: AdaBoost, FIRST (fsl/v5.0.8), FreeSurfer/v5.3 and v6.0, and Subfields (in FreeSurfer/v6.0). We estimated hippocampal volumes in 39 healthy controls and 124 stroke participants at three months, and 38 controls and 113 stroke participants at one year. We used intra-class correlation, concordance, and reduced major axis regression to assess agreement between automated and ‘Manual’ estimations. A linear mixed-effect model was used to characterize hippocampal atrophy. Overall, hippocampal volumes were reduced by 3.9% in first-ever stroke and 9.2% in recurrent stroke at three months post-stroke, with comparable ipsi-and contra-lesional reductions in first-ever stroke. Mean atrophy rates between time points were 0.5% for controls and 1.0% for stroke patients (0.6% contra-lesionally, 1.4% ipsi-lesionally). Atrophy rates in left and right-hemisphere strokes were comparable. All methods revealed significant volume change in first-ever and ipsi-lesional stroke (p <0.001). Hippocampal volume estimation was not impacted by hemisphere, study group, or scan time point, but rather, by the interaction between the automated segmentation method and hippocampal size. Compared to Manual, Subfields and FIRST recorded the lowest bias. FreeSurfer/v5.3 overestimated volumes the most for large hippocampi, while FIRST was the most accurate in estimating small volumes. AdaBoost performance was average. Our findings suggest that first-year ipsi-lesional hippocampal atrophy rate especially in first-ever stroke, is greater than atrophy rates in healthy controls and contra-lesional stroke. Subfields and FIRST can complementarily be effective in characterizing the hippocampal atrophy in healthy and stroke cohorts. © 2019 The Author(s)
AB - We assessed first-year hippocampal atrophy in stroke patients and healthy controls using manual and automated segmentations: AdaBoost, FIRST (fsl/v5.0.8), FreeSurfer/v5.3 and v6.0, and Subfields (in FreeSurfer/v6.0). We estimated hippocampal volumes in 39 healthy controls and 124 stroke participants at three months, and 38 controls and 113 stroke participants at one year. We used intra-class correlation, concordance, and reduced major axis regression to assess agreement between automated and ‘Manual’ estimations. A linear mixed-effect model was used to characterize hippocampal atrophy. Overall, hippocampal volumes were reduced by 3.9% in first-ever stroke and 9.2% in recurrent stroke at three months post-stroke, with comparable ipsi-and contra-lesional reductions in first-ever stroke. Mean atrophy rates between time points were 0.5% for controls and 1.0% for stroke patients (0.6% contra-lesionally, 1.4% ipsi-lesionally). Atrophy rates in left and right-hemisphere strokes were comparable. All methods revealed significant volume change in first-ever and ipsi-lesional stroke (p <0.001). Hippocampal volume estimation was not impacted by hemisphere, study group, or scan time point, but rather, by the interaction between the automated segmentation method and hippocampal size. Compared to Manual, Subfields and FIRST recorded the lowest bias. FreeSurfer/v5.3 overestimated volumes the most for large hippocampi, while FIRST was the most accurate in estimating small volumes. AdaBoost performance was average. Our findings suggest that first-year ipsi-lesional hippocampal atrophy rate especially in first-ever stroke, is greater than atrophy rates in healthy controls and contra-lesional stroke. Subfields and FIRST can complementarily be effective in characterizing the hippocampal atrophy in healthy and stroke cohorts. © 2019 The Author(s)
KW - Freesurfer
KW - Hippocampal atrophy
KW - Linear mixed-effect model
KW - Magnetic resonance imaging
KW - Stroke
KW - aged
KW - Article
KW - brain atrophy
KW - brain ischemia
KW - brain size
KW - controlled study
KW - hippocampus
KW - human
KW - image segmentation
KW - left hemisphere
KW - major clinical study
KW - neuroimaging
KW - nuclear magnetic resonance imaging
KW - priority journal
KW - recurrent disease
KW - right hemisphere
KW - stroke patient
U2 - 10.1016/j.nicl.2019.102008
DO - 10.1016/j.nicl.2019.102008
M3 - Article
VL - 24
JO - NeuroImage Clin.
JF - NeuroImage Clin.
SN - 2213-1582
M1 - 102008
ER -