Simultaneous assessment of blood flow and myelin content in the brain white matter with dynamic [11 C]PiB PET: a test-retest study in healthy controls.

11C-PIB Cerebral blood flow Multiple sclerosis Myelin PET White matter

Journal

EJNMMI research
ISSN: 2191-219X
Titre abrégé: EJNMMI Res
Pays: Germany
ID NLM: 101560946

Informations de publication

Date de publication:
27 May 2024
Historique:
received: 21 10 2023
accepted: 23 04 2024
medline: 27 5 2024
pubmed: 27 5 2024
entrez: 27 5 2024
Statut: epublish

Résumé

Exploring the relationship between oxygen supply and myelin damage would benefit from a simultaneous quantification of myelin and cerebral blood flow (CBF) in the brain's white matter (WM). To validate an analytical method for quantifying both CBF and myelin content in the WM using dynamic [ A test-retest study was performed on eight healthy subjects who underwent two consecutive dynamic [11 C]PiB-PET scans. Three quantitative approaches were compared: simplified reference tissue model 2 (SRTM2), LOGAN graphical model, and standardized uptake value ratio (SUVR). The sensitivity of methods to the size of the region of interest was explored by simulating lesion masks obtained from 36 subjects with multiple sclerosis. Reproducibility was assessed using the relative difference and interclass correlation coefficient. Repeated measures correlations were used to test for cross-correlations between metrics. Among the CBF measures, the relative delivery (R1) of the simplified reference tissue model 2 (SRTM2) displayed the best reproducibility in the white matter, with a strong influence of the size of regions analyzed, the test-retest variability being below 10% for regions above 68 mm [ European Union Clinical Trials Register EUDRACT; EudraCT Number: 2008-004174-40; Date: 2009-03-06; https//www.clinicaltrialsregister.eu ; number 2008-004174-40.

Sections du résumé

BACKGROUND BACKGROUND
Exploring the relationship between oxygen supply and myelin damage would benefit from a simultaneous quantification of myelin and cerebral blood flow (CBF) in the brain's white matter (WM). To validate an analytical method for quantifying both CBF and myelin content in the WM using dynamic [
METHODS METHODS
A test-retest study was performed on eight healthy subjects who underwent two consecutive dynamic [11 C]PiB-PET scans. Three quantitative approaches were compared: simplified reference tissue model 2 (SRTM2), LOGAN graphical model, and standardized uptake value ratio (SUVR). The sensitivity of methods to the size of the region of interest was explored by simulating lesion masks obtained from 36 subjects with multiple sclerosis. Reproducibility was assessed using the relative difference and interclass correlation coefficient. Repeated measures correlations were used to test for cross-correlations between metrics.
RESULTS RESULTS
Among the CBF measures, the relative delivery (R1) of the simplified reference tissue model 2 (SRTM2) displayed the best reproducibility in the white matter, with a strong influence of the size of regions analyzed, the test-retest variability being below 10% for regions above 68 mm
CONCLUSIONS CONCLUSIONS
[
TRIAL REGISTRATION BACKGROUND
European Union Clinical Trials Register EUDRACT; EudraCT Number: 2008-004174-40; Date: 2009-03-06; https//www.clinicaltrialsregister.eu ; number 2008-004174-40.

Identifiants

pubmed: 38801594
doi: 10.1186/s13550-024-01107-4
pii: 10.1186/s13550-024-01107-4
doi:

Types de publication

Journal Article

Langues

eng

Pagination

50

Subventions

Organisme : Inserm-DHOS
ID : 2008

Informations de copyright

© 2024. The Author(s).

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Auteurs

Arya Yazdan-Panah (A)

Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, F-75013, Inserm, France.

Benedetta Bodini (B)

Sorbonne Université, Institut du Cerveau - Paris Brain Institute -, ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, F-75013, France.

Théodore Soulier (T)

Sorbonne Université, Institut du Cerveau - Paris Brain Institute -, ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, F-75013, France.

Mattia Veronese (M)

Department of Information Engineering (DEI), University of Padua, Padua, Italy.
Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Michel Bottlaender (M)

Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, Orsay, France.

Matteo Tonietto (M)

Sorbonne Université, Institut du Cerveau - Paris Brain Institute -, ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, F-75013, France.
Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, Orsay, France.
Roche Pharma Research and Early Development, Biomarkers & Translational Technologies, Roche Innovation Center Basel, Basel, Switzerland.

Bruno Stankoff (B)

Sorbonne Université, Institut du Cerveau - Paris Brain Institute -, ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, F-75013, France. bruno.stankoff@aphp.fr.

Classifications MeSH