MarkVCID cerebral small vessel consortium: II. Neuroimaging protocols.

acquisition protocol biomarker magnetic resonance imaging optical computed tomography angiography quality assurance small vessel disease vascular contributions to cognitive impairment and dementia

Journal

Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978

Informations de publication

Date de publication:
04 2021
Historique:
received: 26 05 2020
accepted: 22 09 2020
pubmed: 23 1 2021
medline: 4 11 2021
entrez: 22 1 2021
Statut: ppublish

Résumé

The MarkVCID consortium was formed under cooperative agreements with the National Institute of Neurologic Diseases and Stroke (NINDS) and National Institute on Aging (NIA) in 2016 with the goals of developing and validating biomarkers for the cerebral small vessel diseases associated with the vascular contributions to cognitive impairment and dementia (VCID). Rigorously validated biomarkers have consistently been identified as crucial for multicenter studies to identify effective strategies to prevent and treat VCID, specifically to detect increased VCID risk, diagnose the presence of small vessel disease and its subtypes, assess prognosis for disease progression or response to treatment, demonstrate target engagement or mechanism of action for candidate interventions, and monitor disease progression during treatment. The seven project sites and central coordinating center comprising MarkVCID, working with NINDS and NIA, identified a panel of 11 candidate fluid- and neuroimaging-based biomarker kits and established harmonized multicenter study protocols (see companion paper "MarkVCID cerebral small vessel consortium: I. Enrollment, clinical, fluid protocols" for full details). Here we describe the MarkVCID neuroimaging protocols with specific focus on validating their application to future multicenter trials. MarkVCID procedures for participant enrollment; clinical and cognitive evaluation; and collection, handling, and instrumental validation of fluid samples are described in detail in a companion paper. Magnetic resonance imaging (MRI) has long served as the neuroimaging modality of choice for cerebral small vessel disease and VCID because of its sensitivity to a wide range of brain properties, including small structural lesions, connectivity, and cerebrovascular physiology. Despite MRI's widespread use in the VCID field, there have been relatively scant data validating the repeatability and reproducibility of MRI-based biomarkers across raters, scanner types, and time intervals (collectively defined as instrumental validity). The MRI protocols described here address the core MRI sequences for assessing cerebral small vessel disease in future research studies, specific sequence parameters for use across various research scanner types, and rigorous procedures for determining instrumental validity. Another candidate neuroimaging modality considered by MarkVCID is optical coherence tomography angiography (OCTA), a non-invasive technique for directly visualizing retinal capillaries as a marker of the cerebral capillaries. OCTA has theoretical promise as a unique opportunity to visualize small vessels derived from the cerebral circulation, but at a considerably earlier stage of development than MRI. The additional OCTA protocols described here address procedures for determining OCTA instrumental validity, evaluating sources of variability such as pupil dilation, and handling data to maintain participant privacy. MRI protocol and instrumental validation The core sequences selected for the MarkVCID MRI protocol are three-dimensional T1-weighted multi-echo magnetization-prepared rapid-acquisition-of-gradient-echo (ME-MPRAGE), three-dimensional T2-weighted fast spin echo fluid-attenuated-inversion-recovery (FLAIR), two-dimensional diffusion-weighted spin-echo echo-planar imaging (DWI), three-dimensional T2*-weighted multi-echo gradient echo (3D-GRE), three-dimensional T

Identifiants

pubmed: 33480157
doi: 10.1002/alz.12216
pmc: PMC8627001
mid: NIHMS1757852
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

716-725

Subventions

Organisme : NINDS NIH HHS
ID : UH2 NS100614
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS105820
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS100614
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100606
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB019956
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH117023
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG072946
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS017950
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS125513
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100599
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG054076
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100588
Pays : United States
Organisme : NINDS NIH HHS
ID : U24 NS100591
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG066524
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100598
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG052409
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100605
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS100599
Pays : United States
Organisme : NINDS NIH HHS
ID : UH3 NS100614
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG028383
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100608
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS083534
Pays : United States

Informations de copyright

© 2021 the Alzheimer's Association.

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Auteurs

Hanzhang Lu (H)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Amir H Kashani (AH)

Department of Ophthalmology, USC Roski Eye Institute, USC Ginsberg Institute for Biomedical Therapeutics, Los Angeles, California, USA.
Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

Konstantinos Arfanakis (K)

Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Rush Alzheimer's Disease Center, Department of Diagnostic Radiology and Nuclear Medicine, Rush University, Chicago, Illinois, USA.

Arvind Caprihan (A)

The Mind Research Network, Albuquerque, New Mexico, USA.

Charles DeCarli (C)

Department of Neurology, University of California, Davis, Davis, California, USA.

Brian T Gold (BT)

Department of Neuroscience, University of Kentucky, Lexington, Kentucky, USA.

Yang Li (Y)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Pauline Maillard (P)

Department of Neurology, University of California, Davis, Davis, California, USA.

Claudia L Satizabal (CL)

Department of Epidemiology and Biostatistics, University of Texas Health San Antonio, San Antonio, Texas, USA.

Lara Stables (L)

Department of Neurology, University of California, San Francisco, San Francisco, California, USA.

Danny J J Wang (DJJ)

Departments of Neurology and Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

Roderick A Corriveau (RA)

National Institute of Neurological Disorders and Stroke, Rockville, Maryland, USA.

Herpreet Singh (H)

Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Eric E Smith (EE)

Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.

Bruce Fischl (B)

Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
Massachusetts Institute of Technology, Computer Science and AI Lab, Cambridge, Massachusetts, USA.

Andre van der Kouwe (A)

Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.

Kristin Schwab (K)

Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Karl G Helmer (KG)

Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.

Steven M Greenberg (SM)

Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.

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Classifications MeSH