Neuroimaging standards for research into small vessel disease—advances since 2013
Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living...
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| Vydané v: | Lancet neurology Ročník 22; číslo 7; s. 602 - 618 |
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| Hlavní autori: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
England
Elsevier Ltd
01.07.2023
Elsevier Limited Elsevier |
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| ISSN: | 1474-4422, 1474-4465, 1474-4465 |
| On-line prístup: | Získať plný text |
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| Abstract | Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods, these metrics can more comprehensively capture the effect of SVD on the brain than the structural MRI features alone and serve as intermediary outcomes in clinical trials and future routine practice. Using a similar approach to that adopted in STRIVE-1, we updated the guidance on neuroimaging of vascular changes in studies of ageing and neurodegeneration to create STRIVE-2. |
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| AbstractList | Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods, these metrics can more comprehensively capture the effect of SVD on the brain than the structural MRI features alone and serve as intermediary outcomes in clinical trials and future routine practice. Using a similar approach to that adopted in STRIVE-1, we updated the guidance on neuroimaging of vascular changes in studies of ageing and neurodegeneration to create STRIVE-2. Summary Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods, these metrics can more comprehensively capture the effect of SVD on the brain than the structural MRI features alone and serve as intermediary outcomes in clinical trials and future routine practice. Using a similar approach to that adopted in STRIVE-1, we updated the guidance on neuroimaging of vascular changes in studies of ageing and neurodegeneration to create STRIVE-2. Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods, these metrics can more comprehensively capture the effect of SVD on the brain than the structural MRI features alone and serve as intermediary outcomes in clinical trials and future routine practice. Using a similar approach to that adopted in STRIVE-1, we updated the guidance on neuroimaging of vascular changes in studies of ageing and neurodegeneration to create STRIVE-2.Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods, these metrics can more comprehensively capture the effect of SVD on the brain than the structural MRI features alone and serve as intermediary outcomes in clinical trials and future routine practice. Using a similar approach to that adopted in STRIVE-1, we updated the guidance on neuroimaging of vascular changes in studies of ageing and neurodegeneration to create STRIVE-2. |
| Author | deCarli, Charles Vemuri, Prashanthi Bae, Hee-Joon Jochems, Angela C C Maillard, Pauline Biessels, Geert Jan Helmer, Karl G Brown, Rosalind Akinyemi, Rufus O Ganesh, Aravind Jouvent, Eric MacIntosh, Bradley J Markus, Hugh S Dewenter, Anna Satizabal, Claudia L Hilal, Saima van Veluw, Susanne J Mok, Vincent C T Zhu, Yi-Cheng Ewers, Michael Wang, Yilong Kuijf, Hugo Greenberg, Steven Zedde, Marialuisa Chen, Christopher Duering, Marco Doubal, Fergus N Brodtmann, Amy Rudilosso, Salvatore Pantoni, Leonardo Cordonnier, Charlotte Werring, David Smith, Eric E Staals, Julie de Leeuw, Frank-Erik Backes, Walter H Jokinen, Hanna Debette, Stéphanie Thrippleton, Michael J De Luca, Alberto Smith, Colin ter Telgte, Annemieke Field, Thalia S Lebenberg, Jessica Schmidt, Reinhold Dichgans, Martin Wardlaw, Joanna M Lam, Bonnie Y K Del Brutto, Oscar H Rost, Natalia S Chabriat, Hugues Schirmer, Markus D Frayne, Richard Al-Shahi Salman, Rustam |
| Author_xml | – sequence: 1 givenname: Marco surname: Duering fullname: Duering, Marco email: marco.duering@med.uni-muenchen.de organization: Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany – sequence: 2 givenname: Geert Jan surname: Biessels fullname: Biessels, Geert Jan organization: Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands – sequence: 3 givenname: Amy surname: Brodtmann fullname: Brodtmann, Amy organization: Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, VIC, Australia – sequence: 4 givenname: Christopher surname: Chen fullname: Chen, Christopher organization: Department of Pharmacology, Memory Aging and Cognition Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore – sequence: 5 givenname: Charlotte surname: Cordonnier fullname: Cordonnier, Charlotte organization: Université de Lille, INSERM, CHU Lille, U1172—Lille Neuroscience and Cognition (LilNCog), Lille, France – sequence: 6 givenname: Frank-Erik surname: de Leeuw fullname: de Leeuw, Frank-Erik organization: Department of Neurology, Donders Center for Medical Neuroscience, Radboudumc, Nijmegen, Netherlands – sequence: 7 givenname: Stéphanie surname: Debette fullname: Debette, Stéphanie organization: Bordeaux Population Health Research Center, University of Bordeaux, INSERM, UMR 1219, Bordeaux, France – sequence: 8 givenname: Richard surname: Frayne fullname: Frayne, Richard organization: Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada – sequence: 9 givenname: Eric surname: Jouvent fullname: Jouvent, Eric organization: AP-HP, Lariboisière Hospital, Translational Neurovascular Centre, FHU NeuroVasc, Université Paris Cité, Paris, France – sequence: 10 givenname: Natalia S surname: Rost fullname: Rost, Natalia S organization: Department of Neurology, Massachusetts General Hospital, Boston, MA, USA – sequence: 11 givenname: Annemieke surname: ter Telgte fullname: ter Telgte, Annemieke organization: VASCage—Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria – sequence: 12 givenname: Rustam surname: Al-Shahi Salman fullname: Al-Shahi Salman, Rustam organization: Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK – sequence: 13 givenname: Walter H surname: Backes fullname: Backes, Walter H organization: School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands – sequence: 14 givenname: Hee-Joon surname: Bae fullname: Bae, Hee-Joon organization: Department of Neurology, Seoul National University College of Medicine, Seoul, South Korea – sequence: 15 givenname: Rosalind surname: Brown fullname: Brown, Rosalind organization: Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK – sequence: 16 givenname: Hugues surname: Chabriat fullname: Chabriat, Hugues organization: Centre Neurovasculaire Translationnel, CERVCO, INSERM U1141, FHU NeuroVasc, Université Paris Cité, Paris, France – sequence: 17 givenname: Alberto surname: De Luca fullname: De Luca, Alberto organization: Image Sciences Institute, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands – sequence: 18 givenname: Charles surname: deCarli fullname: deCarli, Charles organization: Department of Neurology and Center for Neuroscience, University of California, Davis, CA, USA – sequence: 19 givenname: Anna surname: Dewenter fullname: Dewenter, Anna organization: Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany – sequence: 20 givenname: Fergus N surname: Doubal fullname: Doubal, Fergus N organization: Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK – sequence: 21 givenname: Michael surname: Ewers fullname: Ewers, Michael organization: Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany – sequence: 22 givenname: Thalia S surname: Field fullname: Field, Thalia S organization: Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada – sequence: 23 givenname: Aravind surname: Ganesh fullname: Ganesh, Aravind organization: Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada – sequence: 24 givenname: Steven surname: Greenberg fullname: Greenberg, Steven organization: Department of Neurology, Massachusetts General Hospital, Boston, MA, USA – sequence: 25 givenname: Karl G surname: Helmer fullname: Helmer, Karl G organization: Department of Radiology, Massachusetts General Hospital, Boston, MA, USA – sequence: 26 givenname: Saima surname: Hilal fullname: Hilal, Saima organization: Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore – sequence: 27 givenname: Angela C C surname: Jochems fullname: Jochems, Angela C C organization: Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK – sequence: 28 givenname: Hanna surname: Jokinen fullname: Jokinen, Hanna organization: Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital, University of Helsinki, Helsinki, Finland – sequence: 29 givenname: Hugo surname: Kuijf fullname: Kuijf, Hugo organization: Image Sciences Institute, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands – sequence: 30 givenname: Bonnie Y K surname: Lam fullname: Lam, Bonnie Y K organization: Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China – sequence: 31 givenname: Jessica surname: Lebenberg fullname: Lebenberg, Jessica organization: AP-HP, Lariboisière Hospital, Translational Neurovascular Centre, FHU NeuroVasc, Université Paris Cité, Paris, France – sequence: 32 givenname: Bradley J surname: MacIntosh fullname: MacIntosh, Bradley J organization: Sandra E Black Centre for Brain Resilience and Repair, Hurvitz Brain Sciences, Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada – sequence: 33 givenname: Pauline surname: Maillard fullname: Maillard, Pauline organization: Department of Neurology and Center for Neuroscience, University of California, Davis, CA, USA – sequence: 34 givenname: Vincent C T surname: Mok fullname: Mok, Vincent C T organization: Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China – sequence: 35 givenname: Leonardo surname: Pantoni fullname: Pantoni, Leonardo organization: Department of Biomedical and Clinical Science, University of Milan, Milan, Italy – sequence: 36 givenname: Salvatore surname: Rudilosso fullname: Rudilosso, Salvatore organization: Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain – sequence: 37 givenname: Claudia L surname: Satizabal fullname: Satizabal, Claudia L organization: Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA – sequence: 38 givenname: Markus D surname: Schirmer fullname: Schirmer, Markus D organization: Department of Neurology, Massachusetts General Hospital, Boston, MA, USA – sequence: 39 givenname: Reinhold surname: Schmidt fullname: Schmidt, Reinhold organization: Department of Neurology, Medical University Graz, Graz, Austria – sequence: 40 givenname: Colin surname: Smith fullname: Smith, Colin organization: Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK – sequence: 41 givenname: Julie surname: Staals fullname: Staals, Julie organization: School for Cardiovascular Diseases, Maastricht University Medical 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Clinical Neurosciences, University of Calgary, Calgary, AB, Canada – sequence: 53 givenname: Martin surname: Dichgans fullname: Dichgans, Martin organization: Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany – sequence: 54 givenname: Joanna M surname: Wardlaw fullname: Wardlaw, Joanna M email: joanna.wardlaw@ed.ac.uk organization: Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37236211$$D View this record in MEDLINE/PubMed https://hal.science/hal-04139389$$DView record in HAL |
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| Copyright | 2023 Elsevier Ltd Copyright © 2023 Elsevier Ltd. All rights reserved. 2023. Elsevier Ltd Distributed under a Creative Commons Attribution 4.0 International License |
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| Snippet | Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment.... Summary Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional... |
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| SubjectTerms | Activities of Daily Living Aging Brain - diagnostic imaging Brain research Cerebral Small Vessel Diseases - diagnostic imaging Clinical trials Cognitive ability Cognitive Dysfunction Humans Ischemia Life Sciences Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Neurodegenerative Diseases Neuroimaging Pathology Santé publique et épidémiologie Terminology Vascular diseases |
| Title | Neuroimaging standards for research into small vessel disease—advances since 2013 |
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