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Big Data Approaches...
Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data
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- Wu, Ona (författare)
- Massachusetts General Hospital
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- Winzeck, Stefan (författare)
- University of Cambridge
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- Giese, Anne-Katrin (författare)
- Massachusetts General Hospital
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- Hancock, Brandon L (författare)
- Massachusetts General Hospital
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- Etherton, Mark R (författare)
- Massachusetts General Hospital
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- Bouts, Mark J R J (författare)
- Massachusetts General Hospital
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- Donahue, Kathleen (författare)
- Massachusetts General Hospital
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- Schirmer, Markus D (författare)
- Massachusetts General Hospital
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- Irie, Robert E (författare)
- Massachusetts General Hospital
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- Mocking, Steven J T (författare)
- Massachusetts General Hospital
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- McIntosh, Elissa C (författare)
- Massachusetts General Hospital
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- Bezerra, Raquel (författare)
- Massachusetts General Hospital
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- Kamnitsas, Konstantinos (författare)
- Imperial College London
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- Frid, Petrea (författare)
- Lund University,Lunds universitet,Neurologi, Lund,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Stroke Imaging Research group,Forskargrupper vid Lunds universitet,Neurology, Lund,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
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- Wasselius, Johan (författare)
- Lund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Neuroradiologi,Forskargrupper vid Lunds universitet,Stroke Imaging Research group,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Neuroradiology,Lund University Research Groups,Skåne University Hospital
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- Cole, John W (författare)
- University of Maryland, Baltimore
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- Xu, Huichun (författare)
- University of Maryland, Baltimore
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- Holmegaard, Lukas (författare)
- University of Gothenburg,Sahlgrenska Academy
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- Jiménez-Conde, Jordi (författare)
- Autonomous University of Barcelona
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- Lemmens, Robin (författare)
- University Hospitals Leuven
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- Lorentzen, Eric (författare)
- Sahlgrenska Academy
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- McArdle, Patrick F (författare)
- University of Maryland, Baltimore
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- Meschia, James F (författare)
- Mayo Clinic Florida
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- Roquer, Jaume (författare)
- Autonomous University of Barcelona
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- Rundek, Tatjana (författare)
- University of Miami
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- Sacco, Ralph L (författare)
- University of Miami
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- Schmidt, Reinhold (författare)
- Medical University of Graz
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- Sharma, Pankaj (författare)
- Royal Holloway University of London
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- Slowik, Agnieszka (författare)
- Ashford And St Peter's Hospital
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- Stanne, Tara M (författare)
- Sahlgrenska Academy
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- Thijs, Vincent (författare)
- Jagiellonian University
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- Vagal, Achala (författare)
- University of Cincinnati
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- Woo, Daniel (författare)
- University of Cincinnati
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- Bevan, Stephen (författare)
- University of Lincoln
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- Kittner, Steven J (författare)
- University of Maryland, Baltimore
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- Mitchell, Braxton D (författare)
- Baltimore Veterans Administration Medical Center
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- Rosand, Jonathan (författare)
- Massachusetts General Hospital
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- Worrall, Bradford B (författare)
- University of Virginia
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- Jern, Christina (författare)
- Sahlgrenska Academy
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- Lindgren, Arne G (författare)
- Lund University,Lunds universitet,Neurologi, Lund,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Klinisk strokeforskning,Forskargrupper vid Lunds universitet,Neurology, Lund,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine,Clinical Stroke Research Group,Lund University Research Groups,Skåne University Hospital
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- Maguire, Jane (författare)
- University of Technology Sydney
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- Rost, Natalia S (författare)
- Massachusetts General Hospital
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(creator_code:org_t)
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- 2019
- 2019
- Engelska.
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Ingår i: Stroke. - 1524-4628. ; 50:7, s. 1734-1741
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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 (ρ=0.92; P<0.0001). Median (interquartile range) diffusion-weighted MRI lesion volumes from 2770 patients were 3.7 cm3 (0.9-16.6 cm3). 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Neurosciences (hsv//eng)
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Stroke
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Wu, Ona
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Winzeck, Stefan
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Giese, Anne-Katr ...
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Hancock, Brandon ...
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Etherton, Mark R
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Bouts, Mark J R ...
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visa fler...
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Donahue, Kathlee ...
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Schirmer, Markus ...
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Irie, Robert E
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Mocking, Steven ...
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McIntosh, Elissa ...
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Bezerra, Raquel
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Kamnitsas, Konst ...
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Frid, Petrea
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Wasselius, Johan
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Cole, John W
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Xu, Huichun
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Holmegaard, Luka ...
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Jiménez-Conde, J ...
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Lemmens, Robin
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Lorentzen, Eric
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McArdle, Patrick ...
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Meschia, James F
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Roquer, Jaume
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Rundek, Tatjana
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Sacco, Ralph L
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Schmidt, Reinhol ...
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Sharma, Pankaj
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Slowik, Agnieszk ...
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Stanne, Tara M
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Thijs, Vincent
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Vagal, Achala
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Woo, Daniel
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Bevan, Stephen
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Kittner, Steven ...
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Mitchell, Braxto ...
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Rosand, Jonathan
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Worrall, Bradfor ...
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Jern, Christina
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Lindgren, Arne G
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Maguire, Jane
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Rost, Natalia S
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- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Medicinska och f ...
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och Neurovetenskaper
- Artiklar i publikationen
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Stroke
- Av lärosätet
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Lunds universitet