Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial.

Biomarker Central vein Demyelinating disease Diagnosis MRI Multiple sclerosis Susceptibility-weighted imaging T2*-weighted imaging

Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2021
Historique:
received: 19 05 2021
revised: 16 09 2021
accepted: 19 09 2021
pubmed: 1 10 2021
medline: 20 1 2022
entrez: 30 9 2021
Statut: ppublish

Résumé

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overreliance on MRI findings a major cause of MS misdiagnosis. The central vein sign (CVS), a proposed MRI biomarker for MS lesions, has been extensively studied in numerous cross sectional studies and may increase diagnostic specificity for MS. CVS has desirable analytical, measurement, and scalability properties. "Central Vein Sign: A Diagnostic Biomarker in Multiple Sclerosis (CAVS-MS)" is an NIH-supported, 2-year, prospective, international, multicenter study conducted by the North American Imaging in MS Cooperative (NAIMS) to evaluate CVS as a diagnostic biomarker for immediate translation into clinical care. Study objectives include determining the concordance of CVS and McDonald Criteria to diagnose MS, the sensitivity of CVS to detect MS in those with typical presentations, and the specificity of CVS among those with atypical presentations. The study will recruit a total of 400 participants (200 with typical and 200 with atypical presentations) across 11 sites. T2*-weighted, high-isotropic-resolution, segmented echo-planar MRI will be acquired at baseline and 24 months on 3-tesla scanners, and FLAIR* images (combination of FLAIR and T2*) will be generated for evaluating CVS. Data will be processed on a cloud-based platform that contains clinical and CVS rating modules. Imaging quality control will be conducted by automated methods and neuroradiologist review. CVS will be determined by Select6* and Select3* lesion methods following published criteria at each site and by central readers, including neurologists and neuroradiologists. Automated CVS detection and algorithms for incorporation of CVS into McDonald Criteria will be tested. Diagnosis will be adjudicated by three neurologists who served on the 2017 International Panel on the Diagnosis of MS. The CAVS-MS study aims to definitively establish CVS as a diagnostic biomarker that can be applied broadly to individuals presenting for evaluation of the diagnosis of MS.

Identifiants

pubmed: 34592690
pii: S2213-1582(21)00278-3
doi: 10.1016/j.nicl.2021.102834
pmc: PMC8482479
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Clinical Trial Protocol Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

102834

Subventions

Organisme : NINDS NIH HHS
ID : K23 NS107624
Pays : United States
Organisme : NIH HHS
ID : S10 OD023495
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS116776
Pays : United States

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

D Ontaneda (D)

Cleveland Clinic Foundation, Cleveland, OH, United States. Electronic address: ontaned@ccf.org.

P Sati (P)

Cedars Sinai, Los Angeles, CA, United States; NINDS, NIH, Bethesda, MD, United States.

P Raza (P)

Cleveland Clinic Foundation, Cleveland, OH, United States.

M Kilbane (M)

Cleveland Clinic Foundation, Cleveland, OH, United States.

E Gombos (E)

Cedars Sinai, Los Angeles, CA, United States.

E Alvarez (E)

Neurology, U of Colorado, Denver, CO, United States.

C Azevedo (C)

USC, Los Angeles, CA, United States.

P Calabresi (P)

Neurology, Johns Hopkins, Baltimore, MD, United States.

J A Cohen (JA)

Cleveland Clinic Foundation, Cleveland, OH, United States.

L Freeman (L)

Dell Medical School, The University of Texas at Austin, Austin, TX, United States.

R G Henry (RG)

University of California San Francisco, San Francisco, CA, United States.

E E Longbrake (EE)

Yale University, North Haven, CT, United States.

N Mitra (N)

University of Pennsylvania, Philadelphia, PA, United States.

N Illenberger (N)

University of Pennsylvania, Philadelphia, PA, United States.

M Schindler (M)

University of Pennsylvania, Philadelphia, PA, United States.

D Moreno-Dominguez (D)

QMENTA Inc, Boston, MA, United States.

M Ramos (M)

QMENTA Inc, Boston, MA, United States.

E Mowry (E)

Neurology, Johns Hopkins, Baltimore, MD, United States.

J Oh (J)

University of Toronto, Toronto, ON, Canada.

P Rodrigues (P)

QMENTA Inc, Boston, MA, United States.

S Chahin (S)

Washington University, St. Louis, MO, United States.

M Kaisey (M)

Cedars Sinai, Los Angeles, CA, United States.

E Waubant (E)

University of California San Francisco, San Francisco, CA, United States.

G Cutter (G)

UAB School of Public Health, Birmingham, AL, United States.

R Shinohara (R)

University of Pennsylvania, Philadelphia, PA, United States.

D S Reich (DS)

NINDS, NIH, Bethesda, MD, United States.

A Solomon (A)

The University of Vermont, Burlington, VT, United States.

N L Sicotte (NL)

Cedars Sinai, Los Angeles, CA, United States.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH