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      Determinants and Temporal Dynamics of Cerebral Small Vessel Disease: 14-Year Follow-Up

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          Background:

          The aim of this study is to investigate the temporal dynamics of small vessel disease (SVD) and the effect of vascular risk factors and baseline SVD burden on progression of SVD with 4 neuroimaging assessments over 14 years in patients with SVD.

          Methods:

          Five hundred three patients with sporadic SVD (50–85 years) from the ongoing prospective cohort study (RUN DMC [Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort]) underwent baseline assessment in 2006 and follow-up in 2011, 2015, and 2020. Vascular risk factors and magnetic resonance imaging markers of SVD were evaluated. Linear mixed-effects model and negative binomial regression model were used to examine the determinants of temporal dynamics of SVD markers.

          Results:

          A total of 382 SVD patients (mean [SD] 64.1 [8.4]; 219 men and 163 women) who underwent at least 2 serial brain magnetic resonance imaging scans were included, with mean (SD) follow-up of 11.15 (3.32) years. We found a highly variable temporal course of SVD. Mean (SD) WMH progression rate was 0.6 (0.74) mL/y (range, 0.02–4.73 mL/y) and 13.6% of patients had incident lacunes (1.03%/y) over the 14-year follow-up. About 4% showed net WMH regression over 14 years, whereas 38 out of 361 (10.5%), 5 out of 296 (2%), and 61 out of 231 (26%) patients showed WMH regression for the intervals 2006 to 2011, 2011 to 2015, and 2015 to 2020, respectively. Of these, 29 (76%), 5 (100%), and 57 (93%) showed overall progression across the 14-year follow-up, and the net overall WMH change between first and last scan considering all participants was a net average WMH progression over the 14-year period. Older age was a strong predictor for faster WMH progression and incident lacunes. Patients with mild baseline WMH rarely progressed to severe WMH. In addition, both baseline burden of SVD lesions and vascular risk factors independently and synergistically predicted WMH progression, whereas only baseline SVD burden predicted incident lacunes over the 14-year follow-up.

          Conclusions:

          SVD shows pronounced progression over time, but mild WMH rarely progresses to clinically severe WMH. WMH regression is noteworthy during some magnetic resonance imaging intervals, although it could be overall compensated by progression over the long follow-up.

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          The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

          A 36-item short-form (SF-36) was constructed to survey health status in the Medical Outcomes Study. The SF-36 was designed for use in clinical practice and research, health policy evaluations, and general population surveys. The SF-36 includes one multi-item scale that assesses eight health concepts: 1) limitations in physical activities because of health problems; 2) limitations in social activities because of physical or emotional problems; 3) limitations in usual role activities because of physical health problems; 4) bodily pain; 5) general mental health (psychological distress and well-being); 6) limitations in usual role activities because of emotional problems; 7) vitality (energy and fatigue); and 8) general health perceptions. The survey was constructed for self-administration by persons 14 years of age and older, and for administration by a trained interviewer in person or by telephone. The history of the development of the SF-36, the origin of specific items, and the logic underlying their selection are summarized. The content and features of the SF-36 are compared with the 20-item Medical Outcomes Study short-form.
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            Fully convolutional networks for semantic segmentation

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              Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration

              Summary Cerebral small vessel disease (SVD) is a common accompaniment of ageing. Features seen on neuroimaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. SVD can present as a stroke or cognitive decline, or can have few or no symptoms. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive deficits, physical disabilities, and other symptoms of neurodegeneration. Terminology and definitions for imaging the features of SVD vary widely, which is also true for protocols for image acquisition and image analysis. This lack of consistency hampers progress in identifying the contribution of SVD to the pathophysiology and clinical features of common neurodegenerative diseases. We are an international working group from the Centres of Excellence in Neurodegeneration. We completed a structured process to develop definitions and imaging standards for markers and consequences of SVD. We aimed to achieve the following: first, to provide a common advisory about terms and definitions for features visible on MRI; second, to suggest minimum standards for image acquisition and analysis; third, to agree on standards for scientific reporting of changes related to SVD on neuroimaging; and fourth, to review emerging imaging methods for detection and quantification of preclinical manifestations of SVD. Our findings and recommendations apply to research studies, and can be used in the clinical setting to standardise image interpretation, acquisition, and reporting. This Position Paper summarises the main outcomes of this international effort to provide the STandards for ReportIng Vascular changes on nEuroimaging (STRIVE).
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                Author and article information

                Contributors
                Journal
                Stroke
                Stroke
                STR
                Stroke
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0039-2499
                1524-4628
                04 May 2022
                September 2022
                04 May 2022
                : 53
                : 9
                : 2789-2798
                Affiliations
                [1]Department of Neurology, Radboud University Medical Center (M.C., M.A.J., M.B., A.M.T., F.-E.d.L.), Donders Institute for Brain, Cognition and Behaviour; Nijmegen, the Netherlands.
                [2]Center for Cognitive Neuroimaging (M.R.v.L., J.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour; Nijmegen, the Netherlands.
                [3]Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Switzerland (M.D.).
                Author notes
                Correspondence to: Frank-Erik de Leeuw, MD, PhD, Radboud University Medical Center, Department of Neurology (910), PO Box 9101, 6500 HB Nijmegen, the Netherlands. Email frankerik.deleeuw@ 123456radboudumc.nl
                Author information
                https://orcid.org/0000-0003-0927-2558
                https://orcid.org/0000-0002-3018-4109
                https://orcid.org/0000-0002-6449-0008
                https://orcid.org/0000-0001-9448-5464
                https://orcid.org/0000-0001-8157-8864
                https://orcid.org/0000-0003-2302-3136
                https://orcid.org/0000-0003-2221-3026
                Article
                00011
                10.1161/STROKEAHA.121.038099
                9389939
                35506383
                36baf795-8a58-4faa-b55a-61303593c952
                © 2022 The Authors.

                Stroke is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.

                This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

                History
                : 19 November 2021
                : 23 March 2022
                : 7 April 2022
                Categories
                10111
                10129
                10195
                Original Contributions
                Clinical and Population Sciences
                Custom metadata
                TRUE
                T

                cerebral small vessel disease,magnetic resonance imaging,neuroimaging,risk factor,white matter hyperintensities

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