Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 12 2021
Historique:
received: 20 07 2021
revised: 05 11 2021
accepted: 22 11 2021
pubmed: 27 11 2021
medline: 14 1 2022
entrez: 26 11 2021
Statut: ppublish

Résumé

Cerebrovascular reactivity (CVR), which measures the ability of cerebral blood vessels to dilate or constrict in response to vasoactive stimuli such as CO2 inhalation, is an important index of the brain's vascular health. Quantification of CVR using BOLD MRI with hypercapnia challenge has shown great promises in research and clinical studies. However, in order for it to be used as a potential imaging biomarker in large-scale and multi-site studies, the reliability of CO2-CVR quantification across different MRI acquisition platforms and researchers/raters must be examined. The goal of this report from the MarkVCID small vessel disease biomarkers consortium is to evaluate the reliability of CO2-CVR quantification in three studies. First, the inter-rater reliability of CO2-CVR data processing was evaluated by having raters from 5 MarkVCID sites process the same 30 CVR datasets using a cloud-based CVR data processing pipeline. Second, the inter-scanner reproducibility of CO2-CVR quantification was assessed in 10 young subjects across two scanners of different vendors. Third, test-retest repeatability was evaluated in 20 elderly subjects from 4 sites with a scan interval of less than 2 weeks. In all studies, the CO2 CVR measurements were performed using the fixed inspiration method, where the subjects wore a nose clip and a mouthpiece and breathed room air and 5% CO2 air contained in a Douglas bag alternatively through their mouth. The results showed that the inter-rater CoV of CVR processing was 0.08 ± 0.08% for whole-brain CVR values and ranged from 0.16% to 0.88% in major brain regions, with ICC of absolute agreement above 0.9959 for all brain regions. Inter-scanner CoV was found to be 6.90 ± 5.08% for whole-brain CVR values, and ranged from 4.69% to 12.71% in major brain regions, which are comparable to intra-session CoVs obtained from the same scanners on the same day. ICC of consistency between the two scanners was 0.8498 for whole-brain CVR and ranged from 0.8052 to 0.9185 across major brain regions. In the test-retest evaluation, test-retest CoV across different days was found to be 18.29 ± 17.12% for whole-brain CVR values, and ranged from 16.58% to 19.52% in major brain regions, with ICC of absolute agreement ranged from 0.6480 to 0.7785. These results demonstrated good inter-rater, inter-scanner, and test-retest reliability in healthy volunteers, and suggested that CO2-CVR has suitable instrumental properties for use as an imaging biomarker of cerebrovascular function in multi-site and longitudinal observational studies and clinical trials.

Identifiants

pubmed: 34826595
pii: S1053-8119(21)01026-0
doi: 10.1016/j.neuroimage.2021.118754
pmc: PMC8783393
mid: NIHMS1770957
pii:
doi:

Substances chimiques

Carbon Dioxide 142M471B3J

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

118754

Subventions

Organisme : NINDS NIH HHS
ID : UH3 NS100605
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS017950
Pays : United States
Organisme : NINDS NIH HHS
ID : UH3 NS100598
Pays : United States
Organisme : NINDS NIH HHS
ID : U24 NS100591
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS100614
Pays : United States
Organisme : NIA NIH HHS
ID : R21 AG061851
Pays : United States
Organisme : NINDS NIH HHS
ID : UH3 NS100614
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS100598
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB031771
Pays : United States
Organisme : NINDS NIH HHS
ID : UH3 NS100588
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100598
Pays : United States
Organisme : NINDS NIH HHS
ID : UH3 NS100606
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS115771
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG047972
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066546
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100605
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG052409
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS100588
Pays : United States
Organisme : NINDS NIH HHS
ID : R56 NS115771
Pays : United States

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflicts of interest or financial disclosures to report.

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Auteurs

Peiying Liu (P)

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

Dengrong Jiang (D)

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

Marilyn Albert (M)

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Christopher E Bauer (CE)

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

Arvind Caprihan (A)

The Mind Research Network, Albuquerque, NM, USA.

Brian T Gold (BT)

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

Steven M Greenberg (SM)

Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston, MA, USA.

Karl G Helmer (KG)

Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.

Kay Jann (K)

Laboratory of Functional MRI Technology, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Gregory Jicha (G)

Department of Neurology, University of Kentucky, Lexington, KY, USA.

Pavel Rodriguez (P)

Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.

Claudia L Satizabal (CL)

Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.

Sudha Seshadri (S)

Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.

Herpreet Singh (H)

Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.

Jeffrey F Thompson (JF)

Department of Neurology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.

Danny J J Wang (DJJ)

Laboratory of Functional MRI Technology, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Hanzhang Lu (H)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore 21287, USA; F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, 21205, USA. Electronic address: hanzhang.lu@jhu.edu.

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