The development of the pediatric stroke neuroimaging platform (PEDSNIP)
Childhood stroke occurs from birth to 18 years of age, ranks among the top ten childhood causes of death, and leaves lifelong neurological impairments. Arterial ischemic stroke in infancy and childhood occurs due to arterial occlusion in the brain, resulting in a focal lesion. Our understanding of m...
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Format: | Article |
Language: | English |
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Elsevier
2023-01-01
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Series: | NeuroImage: Clinical |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158223001274 |
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author | Trish Domi Amanda Robertson Wayne Lee Richard F. Wintle Nicholas Stence Timothy Bernard Adam Kirton Helen Carlson Andrea Andrade Mubeen F. Rafay Bruce Bjornson Danny Kim Michael Dowling Wilmot Bonnett Michael Rivkin Pradeep Krishnan Manohar Shroff Birgit Ertl-Wagner Stephen Strother Steven Arnott Max Wintermark Andrea Kassner Gabrielle deVeber Nomazulu Dlamini |
author_facet | Trish Domi Amanda Robertson Wayne Lee Richard F. Wintle Nicholas Stence Timothy Bernard Adam Kirton Helen Carlson Andrea Andrade Mubeen F. Rafay Bruce Bjornson Danny Kim Michael Dowling Wilmot Bonnett Michael Rivkin Pradeep Krishnan Manohar Shroff Birgit Ertl-Wagner Stephen Strother Steven Arnott Max Wintermark Andrea Kassner Gabrielle deVeber Nomazulu Dlamini |
author_sort | Trish Domi |
collection | DOAJ |
description | Childhood stroke occurs from birth to 18 years of age, ranks among the top ten childhood causes of death, and leaves lifelong neurological impairments. Arterial ischemic stroke in infancy and childhood occurs due to arterial occlusion in the brain, resulting in a focal lesion. Our understanding of mechanisms of injury and repair associated with focal injury in the developing brain remains rudimentary. Neuroimaging can reveal important insights into these mechanisms. In adult stroke population, multi-center neuroimaging studies are common and have accelerated the translation process leading to improvements in treatment and outcome. These studies are centered on the growing evidence that neuroimaging measures and other biomarkers (e.g., from blood and cerebrospinal fluid) can enhance our understanding of mechanisms of risk and injury and be used as complementary outcome markers. These factors have yet to be studied in pediatric stroke because most neuroimaging studies in this population have been conducted in single-centred, small cohorts. By pooling neuroimaging data across multiple sites, larger cohorts of patients can significantly boost study feasibility and power in elucidating mechanisms of brain injury, repair and outcomes. These aims are particularly relevant in pediatric stroke because of the decreased incidence rates and the lack of mechanism-targeted trials.Toward these aims, we developed the Pediatric Stroke Neuroimaging Platform (PEDSNIP) in 2015, funded by The Brain Canada Platform Support Grant, to focus on three identified neuroimaging priorities. These were: developing and harmonizing multisite clinical protocols, creating the infrastructure and methods to import, store and organize the large clinical neuroimaging dataset from multiple sites through the International Pediatric Stroke Study (IPSS), and enabling central searchability. To do this, developed a two-pronged approach that included building 1) A Clinical-MRI Data Repository (standard of care imaging) linked to clinical data and longitudinal outcomes and 2) A Research-MRI neuroimaging data set acquired through our extensive collaborative, multi-center, multidisciplinary network. This dataset was collected prospectively in eight North American centers to test the feasibility and implementation of harmonized advanced Research-MRI, with the addition of clinical information, genetic and proteomic studies, in a cohort of children presenting with acute ischemic stroke.Here we describe the process that enabled the development of PEDSNIP built to provide the infrastructure to support neuroimaging research priorities in pediatric stroke. Having built this Platform, we are now able to utilize the largest neuroimaging and clinical data pool on pediatric stroke data worldwide to conduct hypothesis-driven research. We are actively working on a bioinformatics approach to develop predictive models of risk, injury and repair and accelerate breakthrough discoveries leading to mechanism-targeted treatments that improve outcomes and minimize the burden following childhood stroke. This unique transformational resource for scientists and researchers has the potential to result in a paradigm shift in the management, outcomes and quality of life in children with stroke and their families, with far-reaching benefits for other brain conditions of people across the lifespan. |
first_indexed | 2024-03-13T03:44:26Z |
format | Article |
id | doaj.art-454a75e5e15644f4b1e10088ca5a02fe |
institution | Directory Open Access Journal |
issn | 2213-1582 |
language | English |
last_indexed | 2024-03-13T03:44:26Z |
publishDate | 2023-01-01 |
publisher | Elsevier |
record_format | Article |
series | NeuroImage: Clinical |
spelling | doaj.art-454a75e5e15644f4b1e10088ca5a02fe2023-06-23T04:43:04ZengElsevierNeuroImage: Clinical2213-15822023-01-0139103438The development of the pediatric stroke neuroimaging platform (PEDSNIP)Trish Domi0Amanda Robertson1Wayne Lee2Richard F. Wintle3Nicholas Stence4Timothy Bernard5Adam Kirton6Helen Carlson7Andrea Andrade8Mubeen F. Rafay9Bruce Bjornson10Danny Kim11Michael Dowling12Wilmot Bonnett13Michael Rivkin14Pradeep Krishnan15Manohar Shroff16Birgit Ertl-Wagner17Stephen Strother18Steven Arnott19Max Wintermark20Andrea Kassner21Gabrielle deVeber22Nomazulu Dlamini23Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, CanadaProgram in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Research Operations, Research Institute, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, CanadaPediatric Neuroradiology, Children's Hospital Colorado, Aurora, CO, United States; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Child Neurology and Hemophilia and Thrombosis Center, University of Colorado, Aurora, CO, United States; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,London Health Sciences Centre, London, United Kingdom; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Health Sciences Centre Winnipeg, Winnipeg, Manitoba, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,The University of British Columbia, Vancouver, British Columbia, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,The University of Texas, Southwestern Austin, TX, United States; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,The University of Texas, Southwestern Austin, TX, United States; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Neurology, Boston, MA, United States; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Medical Biophysics Rotman Research Institute, Baycrest Hospital, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Medical Biophysics Rotman Research Institute, Baycrest Hospital, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Department of Neuroradiology, MD Anderson, Houston, TX (M.W.), United States; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada,; Corresponding author.Childhood stroke occurs from birth to 18 years of age, ranks among the top ten childhood causes of death, and leaves lifelong neurological impairments. Arterial ischemic stroke in infancy and childhood occurs due to arterial occlusion in the brain, resulting in a focal lesion. Our understanding of mechanisms of injury and repair associated with focal injury in the developing brain remains rudimentary. Neuroimaging can reveal important insights into these mechanisms. In adult stroke population, multi-center neuroimaging studies are common and have accelerated the translation process leading to improvements in treatment and outcome. These studies are centered on the growing evidence that neuroimaging measures and other biomarkers (e.g., from blood and cerebrospinal fluid) can enhance our understanding of mechanisms of risk and injury and be used as complementary outcome markers. These factors have yet to be studied in pediatric stroke because most neuroimaging studies in this population have been conducted in single-centred, small cohorts. By pooling neuroimaging data across multiple sites, larger cohorts of patients can significantly boost study feasibility and power in elucidating mechanisms of brain injury, repair and outcomes. These aims are particularly relevant in pediatric stroke because of the decreased incidence rates and the lack of mechanism-targeted trials.Toward these aims, we developed the Pediatric Stroke Neuroimaging Platform (PEDSNIP) in 2015, funded by The Brain Canada Platform Support Grant, to focus on three identified neuroimaging priorities. These were: developing and harmonizing multisite clinical protocols, creating the infrastructure and methods to import, store and organize the large clinical neuroimaging dataset from multiple sites through the International Pediatric Stroke Study (IPSS), and enabling central searchability. To do this, developed a two-pronged approach that included building 1) A Clinical-MRI Data Repository (standard of care imaging) linked to clinical data and longitudinal outcomes and 2) A Research-MRI neuroimaging data set acquired through our extensive collaborative, multi-center, multidisciplinary network. This dataset was collected prospectively in eight North American centers to test the feasibility and implementation of harmonized advanced Research-MRI, with the addition of clinical information, genetic and proteomic studies, in a cohort of children presenting with acute ischemic stroke.Here we describe the process that enabled the development of PEDSNIP built to provide the infrastructure to support neuroimaging research priorities in pediatric stroke. Having built this Platform, we are now able to utilize the largest neuroimaging and clinical data pool on pediatric stroke data worldwide to conduct hypothesis-driven research. We are actively working on a bioinformatics approach to develop predictive models of risk, injury and repair and accelerate breakthrough discoveries leading to mechanism-targeted treatments that improve outcomes and minimize the burden following childhood stroke. This unique transformational resource for scientists and researchers has the potential to result in a paradigm shift in the management, outcomes and quality of life in children with stroke and their families, with far-reaching benefits for other brain conditions of people across the lifespan.http://www.sciencedirect.com/science/article/pii/S2213158223001274NeuroimagingMRIPediatricstrokeData platformMulti-center study |
spellingShingle | Trish Domi Amanda Robertson Wayne Lee Richard F. Wintle Nicholas Stence Timothy Bernard Adam Kirton Helen Carlson Andrea Andrade Mubeen F. Rafay Bruce Bjornson Danny Kim Michael Dowling Wilmot Bonnett Michael Rivkin Pradeep Krishnan Manohar Shroff Birgit Ertl-Wagner Stephen Strother Steven Arnott Max Wintermark Andrea Kassner Gabrielle deVeber Nomazulu Dlamini The development of the pediatric stroke neuroimaging platform (PEDSNIP) NeuroImage: Clinical Neuroimaging MRI Pediatricstroke Data platform Multi-center study |
title | The development of the pediatric stroke neuroimaging platform (PEDSNIP) |
title_full | The development of the pediatric stroke neuroimaging platform (PEDSNIP) |
title_fullStr | The development of the pediatric stroke neuroimaging platform (PEDSNIP) |
title_full_unstemmed | The development of the pediatric stroke neuroimaging platform (PEDSNIP) |
title_short | The development of the pediatric stroke neuroimaging platform (PEDSNIP) |
title_sort | development of the pediatric stroke neuroimaging platform pedsnip |
topic | Neuroimaging MRI Pediatricstroke Data platform Multi-center study |
url | http://www.sciencedirect.com/science/article/pii/S2213158223001274 |
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