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Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data
- Article/chapterEnglish2019
Publisher, publication year, extent ...
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Ovid Technologies (Wolters Kluwer Health),2019
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LIBRIS-ID:oai:gup.ub.gu.se/282925
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https://gup.ub.gu.se/publication/282925URI
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https://doi.org/10.1161/strokeaha.119.025373DOI
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
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Background and Purpose- We evaluated deep learning algorithms' segmentation of acute ischemic lesions on heterogeneous multi-center clinical diffusion-weighted magnetic resonance imaging (MRI) data sets and explored the potential role of this tool for phenotyping acute ischemic stroke. Methods- Ischemic stroke data sets from the MRI-GENIE (MRI-Genetics Interface Exploration) repository consisting of 12 international genetic research centers were retrospectively analyzed using an automated deep learning segmentation algorithm consisting of an ensemble of 3-dimensional convolutional neural networks. Three ensembles were trained using data from the following: (1) 267 patients from an independent single-center cohort, (2) 267 patients from MRI-GENIE, and (3) mixture of (1) and (2). The algorithms' performances were compared against manual outlines from a separate 383 patient subset from MRI-GENIE. Univariable and multivariable logistic regression with respect to demographics, stroke subtypes, and vascular risk factors were performed to identify phenotypes associated with large acute diffusion-weighted MRI volumes and greater stroke severity in 2770 MRI-GENIE patients. Stroke topography was investigated. Results- The ensemble consisting of a mixture of MRI-GENIE and single-center convolutional neural networks performed best. Subset analysis comparing automated and manual lesion volumes in 383 patients found excellent correlation (rho=0.92; P<0.0001). Median (interquartile range) diffusion-weighted MRI lesion volumes from 2770 patients were 3.7 cm(3) (0.9-16.6 cm(3)). Patients with small artery occlusion stroke subtype had smaller lesion volumes (P<0.0001) and different topography compared with other stroke subtypes. Conclusions- Automated accurate clinical diffusion-weighted MRI lesion segmentation using deep learning algorithms trained with multi-center and diverse data is feasible. Both lesion volume and topography can provide insight into stroke subtypes with sufficient sample size from big heterogeneous multi-center clinical imaging phenotype data sets.
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Winzeck, S.
(author)
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Giese, A. K.
(author)
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Hancock, B. L.
(author)
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Etherton, M. R.
(author)
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Bouts, Mjrj
(author)
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Donahue, K.
(author)
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Schirmer, M. D.
(author)
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Irie, R. E.
(author)
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Mocking, S. J. T.
(author)
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McIntosh, E. C.
(author)
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Bezerra, R.
(author)
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Kamnitsas, K.
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Frid, P.
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Wasselius, J.
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Cole, J. W.
(author)
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Xu, H. C.
(author)
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Holmegaard, LukasGothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institute of Neuroscience and Physiology(Swepub:gu)xhollu
(author)
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Jimenez-Conde, J.
(author)
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Lemmens, R.
(author)
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Lorentzen, Erik,1974Gothenburg University,Göteborgs universitet,Institutionen för biomedicin,Institute of Biomedicine(Swepub:gu)xjacer
(author)
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McArdle, P. F.
(author)
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Meschia, J. F.
(author)
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Roquer, J.
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Rundek, T.
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Sacco, R. L.
(author)
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Schmidt, R.
(author)
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Sharma, P.
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Slowik, A.
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Stanne, Tara M,1979Gothenburg University,Göteborgs universitet,Institutionen för biomedicin,Institute of Biomedicine(Swepub:gu)xmcdta
(author)
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Thijs, V.
(author)
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Vagal, A.
(author)
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Woo, D.
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Bevan, S.
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Kittner, S. J.
(author)
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Mitchell, B. D.
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Rosand, J.
(author)
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Worrall, B. B.
(author)
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Jern, Christina,1962Gothenburg University,Göteborgs universitet,Institutionen för biomedicin,Institute of Biomedicine(Swepub:gu)xjerch
(author)
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Lindgren, A. G.
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Maguire, J.
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Rost, N. S.
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Göteborgs universitetInstitutionen för neurovetenskap och fysiologi
(creator_code:org_t)
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In:Stroke: Ovid Technologies (Wolters Kluwer Health)50:7, s. 1734-17410039-24991524-4628
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Stroke
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Wu, O.
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Winzeck, S.
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Giese, A. K.
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Hancock, B. L.
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Etherton, M. R.
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Bouts, Mjrj
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show more...
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Donahue, K.
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Schirmer, M. D.
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Irie, R. E.
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Mocking, S. J. T ...
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McIntosh, E. C.
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Bezerra, R.
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Kamnitsas, K.
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Frid, P.
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Wasselius, J.
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Cole, J. W.
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Xu, H. C.
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Holmegaard, Luka ...
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Jimenez-Conde, J ...
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Lemmens, R.
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Lorentzen, Erik, ...
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McArdle, P. F.
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Meschia, J. F.
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Roquer, J.
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Rundek, T.
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Sacco, R. L.
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Schmidt, R.
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Sharma, P.
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Slowik, A.
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Stanne, Tara M, ...
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Thijs, V.
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Vagal, A.
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Woo, D.
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Bevan, S.
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Kittner, S. J.
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Mitchell, B. D.
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Rosand, J.
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Worrall, B. B.
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Jern, Christina, ...
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Lindgren, A. G.
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Maguire, J.
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Rost, N. S.
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Basic Medicine
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and Neurosciences
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Stroke
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University of Gothenburg