WFRF:(Dalca A.)
Sökning: WFRF:(Dalca A.) > MRI Radiomic Signat...
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 06259naa a2201105 4500 | |
| 001 | oai:gup.ub.gu.se/306912 | |
| 003 | SwePub | |
| 008 | 240528s2021 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://gup.ub.gu.se/publication/3069122 URI |
| 024 | 7 | a https://doi.org/10.3389/fnins.2021.6912442 DOI |
| 040 | a (SwePub)gu | |
| 041 | a eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Bretzner, M.4 aut |
| 245 | 1 0 | a MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes |
| 264 | c 2021-07-12 | |
| 264 | 1 | b Frontiers Media SA,c 2021 |
| 520 | a Objective: Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing conventional images, radiomic analyses hold potential for evaluating brain health. We sought to: (1) evaluate radiomics to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and (2) uncover associations between predictive radiomic features and clinical phenotypes. Methods: We analyzed a multi-site cohort of 4,163 acute ischemic strokes (AIS) patients with T2-FLAIR MR images with total brain and WMH segmentations. Radiomic features were extracted from normal-appearing brain tissue (brain mask-WMH mask). Radiomics-based prediction of personalized WMH burden was done using ElasticNet linear regression. We built a radiomic signature of WMH with stable selected features predictive of WMH burden and then related this signature to clinical variables using canonical correlation analysis (CCA). Results: Radiomic features were predictive of WMH burden (R-2 = 0.855 +/- 0.011). Seven pairs of canonical variates (CV) significantly correlated the radiomics signature of WMH and clinical traits with respective canonical correlations of 0.81, 0.65, 0.42, 0.24, 0.20, 0.15, and 0.15 (FDR-corrected p-values(CV1-6) < 0.001, p-value(CV7) = 0.012). The clinical CV1 was mainly influenced by age, CV2 by sex, CV3 by history of smoking and diabetes, CV4 by hypertension, CV5 by atrial fibrillation (AF) and diabetes, CV6 by coronary artery disease (CAD), and CV7 by CAD and diabetes. Conclusion: Radiomics extracted from T2-FLAIR images of AIS patients capture microstructural damage of the cerebral parenchyma and correlate with clinical phenotypes, suggesting different radiographical textural abnormalities per cardiovascular risk profile. Further research could evaluate radiomics to predict the progression of WMH and for the follow-up of stroke patients' brain health. | |
| 650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Neurovetenskaper0 (SwePub)301052 hsv//swe |
| 650 | 7 | a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Neurosciences0 (SwePub)301052 hsv//eng |
| 653 | a stroke | |
| 653 | a cerebrovascular disease (CVD) | |
| 653 | a MRI | |
| 653 | a radiomics | |
| 653 | a machine learning | |
| 653 | a brain health | |
| 653 | a small vessel disease | |
| 653 | a integrity | |
| 653 | a outcomes | |
| 653 | a images | |
| 653 | a volume | |
| 653 | a brain | |
| 653 | a Neurosciences & Neurology | |
| 700 | 1 | a Bonkhoff, A. K.4 aut |
| 700 | 1 | a Schirmer, M. D.4 aut |
| 700 | 1 | a Hong, S. M.4 aut |
| 700 | 1 | a Dalca, A. V.4 aut |
| 700 | 1 | a Donahue, K. L.4 aut |
| 700 | 1 | a Giese, A. K.4 aut |
| 700 | 1 | a Etherton, M. R.4 aut |
| 700 | 1 | a Rist, P. M.4 aut |
| 700 | 1 | a Nardin, M.4 aut |
| 700 | 1 | a Marinescu, R.4 aut |
| 700 | 1 | a Wang, C.4 aut |
| 700 | 1 | a Regenhardt, R. W.4 aut |
| 700 | 1 | a Leclerc, X.4 aut |
| 700 | 1 | a Lopes, R.4 aut |
| 700 | 1 | a Benavente, O. R.4 aut |
| 700 | 1 | a Cole, J. W.4 aut |
| 700 | 1 | a Donatti, A.4 aut |
| 700 | 1 | a Griessenauer, C. J.4 aut |
| 700 | 1 | a Heitsch, L.4 aut |
| 700 | 1 | a Holmegaard, Lukasu Gothenburg University,Göteborgs universitet,Institutionen för biomedicin,Institute of Biomedicine4 aut0 (Swepub:gu)xhollu |
| 700 | 1 | a Jood, Katarina,d 1966u Gothenburg University,Göteborgs universitet,Institutionen för biomedicin,Institute of Biomedicine4 aut0 (Swepub:gu)xjooka |
| 700 | 1 | a Jimenez-Conde, J.4 aut |
| 700 | 1 | a Kittner, S. J.4 aut |
| 700 | 1 | a Lemmens, R.4 aut |
| 700 | 1 | a Levi, C. R.4 aut |
| 700 | 1 | a McArdle, P. F.4 aut |
| 700 | 1 | a McDonough, C. W.4 aut |
| 700 | 1 | a Meschia, J. F.4 aut |
| 700 | 1 | a Phuah, C. L.4 aut |
| 700 | 1 | a Rolfs, A.4 aut |
| 700 | 1 | a Ropele, S.4 aut |
| 700 | 1 | a Rosand, J.4 aut |
| 700 | 1 | a Roquer, J.4 aut |
| 700 | 1 | a Rundek, T.4 aut |
| 700 | 1 | a Sacco, R. L.4 aut |
| 700 | 1 | a Schmidt, R.4 aut |
| 700 | 1 | a Sharma, P.4 aut |
| 700 | 1 | a Slowik, A.4 aut |
| 700 | 1 | a Sousa, A.4 aut |
| 700 | 1 | a Stanne, Tara M,d 1979u Gothenburg University,Göteborgs universitet,Institutionen för biomedicin,Institute of Biomedicine4 aut0 (Swepub:gu)xmcdta |
| 700 | 1 | a Strbian, D.4 aut |
| 700 | 1 | a Tatlisumak, Turgutu Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience4 aut0 (Swepub:gu)xtatlt |
| 700 | 1 | a Thijs, V.4 aut |
| 700 | 1 | a Vagal, A.4 aut |
| 700 | 1 | a Wasselius, J.4 aut |
| 700 | 1 | a Woo, D.4 aut |
| 700 | 1 | a Wu, O.4 aut |
| 700 | 1 | a Zand, R.4 aut |
| 700 | 1 | a Worrall, B. B.4 aut |
| 700 | 1 | a Maguire, J. M.4 aut |
| 700 | 1 | a Lindgren, A.4 aut |
| 700 | 1 | a Jern, Christina,d 1962u Gothenburg University,Göteborgs universitet,Institutionen för biomedicin,Institute of Biomedicine4 aut0 (Swepub:gu)xjerch |
| 700 | 1 | a Golland, P.4 aut |
| 700 | 1 | a Kuchcinski, G.4 aut |
| 700 | 1 | a Rost, N. S.4 aut |
| 710 | 2 | a Göteborgs universitetb Institutionen för biomedicin4 org |
| 773 | 0 | t Frontiers in Neuroscienced : Frontiers Media SAg 15q 15x 1662-4548x 1662-453X |
| 856 | 4 | u https://www.frontiersin.org/articles/10.3389/fnins.2021.691244/pdf |
| 856 | 4 8 | u https://gup.ub.gu.se/publication/306912 |
| 856 | 4 8 | u https://doi.org/10.3389/fnins.2021.691244 |
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- Bretzner, M.
- Bonkhoff, A. K.
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- Hong, S. M.
- Dalca, A. V.
- Donahue, K. L.
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- Giese, A. K.
- Etherton, M. R.
- Rist, P. M.
- Nardin, M.
- Marinescu, R.
- Wang, C.
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- Leclerc, X.
- Lopes, R.
- Benavente, O. R.
- Cole, J. W.
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- Jood, Katarina, ...
- Jimenez-Conde, J ...
- Kittner, S. J.
- Lemmens, R.
- Levi, C. R.
- McArdle, P. F.
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- Meschia, J. F.
- Phuah, C. L.
- Rolfs, A.
- Ropele, S.
- Rosand, J.
- Roquer, J.
- Rundek, T.
- Sacco, R. L.
- Schmidt, R.
- Sharma, P.
- Slowik, A.
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