MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes
Authors
Martin Bretzner, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Anna K. Bonkhoff, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Markus D. Schirmer, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Sungmin Hong, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Adrian V. Dalca, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Kathleen L. Donahue, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Anne-Katrin Giese, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Mark R. Etherton, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Pamela M. Rist, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Marco Nardin, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Razvan Marinescu, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Clinton Wang, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Robert W. Regenhardt, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, United States.
Xavier Leclerc, Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences and Cognition, University of Lille, Lille, France.
Renaud Lopes, Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences and Cognition, University of Lille, Lille, France.
Oscar R. Benavente, Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, BC, Canada.
John W. Cole, Department of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimore, MD, United States.
Amanda Donatti, School of Medical Sciences, University of Campinas (UNICAMP) and the Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil.
Christoph J. Griessenauer, Department of Neurosurgery, Geisinger, Danville, PA, United States.
Laura Heitsch, Division of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, United States.
Lukas Holmegaard, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Katarina Jood, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Jordi Jimenez-Conde, Department of Neurology, Neurovascular Research Group (NEUVAS), Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autonoma de Barcelona, Barcelona, Spain.
Steven J. Kittner, Department of Neurology, University of Maryland School of Medicine and Veterans Affairs Maryland Health Care System, Baltimore, MD, United States.
Robin Lemmens, Department of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven - University of Leuven, Leuven, Belgium.
Christopher R. Levi, School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.
Patrick F. McArdle, Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.
Caitrin W. McDonough, Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida, Gainesville, FL, United States.
James F. Meschia, Department of Neurology, Mayo Clinic, Jacksonville, FL, United States.
Chia-Ling Phuah, Department of Neurology, Washington University School of Medicine and Barnes-Jewish Hospital, St. Louis, MO, United States.
Arndt Rolfs, Centogene AG, Rostock, Germany.
Abstract
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 ( = 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 -values < 0.001, -value = 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.
Publication Date
1-1-2021
Publication Title
Frontiers in neuroscience
Digital Object Identifier (DOI)
10.3389/fnins.2021.691244
Recommended Citation
Bretzner, Martin; Bonkhoff, Anna K.; Schirmer, Markus D.; Hong, Sungmin; Dalca, Adrian V.; Donahue, Kathleen L.; Giese, Anne-Katrin; Etherton, Mark R.; Rist, Pamela M.; Nardin, Marco; Marinescu, Razvan; Wang, Clinton; Regenhardt, Robert W.; Leclerc, Xavier; Lopes, Renaud; Benavente, Oscar R.; Cole, John W.; Donatti, Amanda; Griessenauer, Christoph J.; Heitsch, Laura; Holmegaard, Lukas; Jood, Katarina; Jimenez-Conde, Jordi; Kittner, Steven J.; Lemmens, Robin; Levi, Christopher R.; McArdle, Patrick F.; McDonough, Caitrin W.; Meschia, James F.; Phuah, Chia-Ling; and Rolfs, Arndt, "MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes" (2021). Neurology. 1727.
https://scholar.barrowneuro.org/neurology/1727
