Synthetic MRI and MR Fingerprinting-Derived Relaxometry of Antenatal Human Brainstem Myelination: A Postmortem-Based Quantitative Imaging Study.


Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
11 Jul 2024
Historique:
received: 02 02 2024
accepted: 23 04 2024
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 11 7 2024
Statut: aheadofprint

Résumé

The radiologic evaluation of ongoing myelination is currently limited prenatally. Novel quantitative MR imaging modalities provide relaxometric properties that are linked to myelinogenesis. In this retrospective postmortem imaging study, the capability of Synthetic MR imaging and MR fingerprinting-derived relaxometry for tracking fetal myelin development was investigated. Moreover, the consistency of results for both MR approaches was analyzed. In 26 cases, quantitative postmortem fetal brain MR data were available (gestational age range, 15 + 1 to 32 + 1; female/male ratio, 14/12). Relaxometric measurements (T1-/T2-relexation times) were determined in the medulla oblongata and the midbrain using Synthetic MR imaging/MR fingerprinting-specific postprocessing procedures (Synthetic MR imaging and MR Robust Quantitative Tool for MR fingerprinting). The Pearson correlations were applied to detect relationships between T1-relaxation times/T2-relaxation times metrics and gestational age at MR imaging. Intraclass correlation coefficients were calculated to assess the consistency of the results provided by both modalities. Both modalities provided quantitative data that revealed negative correlations with gestational age at MR imaging: Synthetic MR imaging-derived relaxation times (medulla oblongata [ There is a good-to-excellent consistency between postmortem Synthetic MR imaging and MR fingerprinting myelin quantifications in fetal brains older than 15 + 1 gestational age. The strong correlations between quantitative myelin metrics and gestational age indicate the potential of quantitative MR imaging to identify delayed or abnormal states of myelination at prenatal stages of cerebral development.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
The radiologic evaluation of ongoing myelination is currently limited prenatally. Novel quantitative MR imaging modalities provide relaxometric properties that are linked to myelinogenesis. In this retrospective postmortem imaging study, the capability of Synthetic MR imaging and MR fingerprinting-derived relaxometry for tracking fetal myelin development was investigated. Moreover, the consistency of results for both MR approaches was analyzed.
MATERIALS AND METHODS METHODS
In 26 cases, quantitative postmortem fetal brain MR data were available (gestational age range, 15 + 1 to 32 + 1; female/male ratio, 14/12). Relaxometric measurements (T1-/T2-relexation times) were determined in the medulla oblongata and the midbrain using Synthetic MR imaging/MR fingerprinting-specific postprocessing procedures (Synthetic MR imaging and MR Robust Quantitative Tool for MR fingerprinting). The Pearson correlations were applied to detect relationships between T1-relaxation times/T2-relaxation times metrics and gestational age at MR imaging. Intraclass correlation coefficients were calculated to assess the consistency of the results provided by both modalities.
RESULTS RESULTS
Both modalities provided quantitative data that revealed negative correlations with gestational age at MR imaging: Synthetic MR imaging-derived relaxation times (medulla oblongata [
CONCLUSIONS CONCLUSIONS
There is a good-to-excellent consistency between postmortem Synthetic MR imaging and MR fingerprinting myelin quantifications in fetal brains older than 15 + 1 gestational age. The strong correlations between quantitative myelin metrics and gestational age indicate the potential of quantitative MR imaging to identify delayed or abnormal states of myelination at prenatal stages of cerebral development.

Identifiants

pubmed: 38991765
pii: ajnr.A8337
doi: 10.3174/ajnr.A8337
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 by American Journal of Neuroradiology.

Auteurs

Victor U Schmidbauer (VU)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria victor.schmidbauer@meduniwien.ac.at.

Intesar-Victoria Malla Houech (IM)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.
Department of Diagnostic Imaging (I.-V.M.H.), Medical University of Sofia, Sofia, Bulgaria.
Alexander R. Margulis Fellowship 2022 (I.-V.M.H., J.M.).

Jakob Malik (J)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Martin L Watzenboeck (ML)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Rebecca Mittermaier (R)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Patric Kienast (P)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Christina Haberl (C)

Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria.

Ivana Pogledic (I)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Christian Mitter (C)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Gregor O Dovjak (GO)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Astrid Krauskopf (A)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Florian Prayer (F)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Marlene Stuempflen (M)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Tim Dorittke (T)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.
Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria.

Nikolai A Gantner (NA)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Julia Binder (J)

Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria.

Dieter Bettelheim (D)

Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria.

Herbert Kiss (H)

Department of Obstetrics and Feto-Maternal Medicine (C. Haberl, T.D., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria.

Christine Haberler (C)

Division of Neuropathology and Neurochemistry (C. Haberler, E.G.), Department of Neurology, Medical University of Vienna, Vienna, Austria.

Ellen Gelpi (E)

Division of Neuropathology and Neurochemistry (C. Haberler, E.G.), Department of Neurology, Medical University of Vienna, Vienna, Austria.

Daniela Prayer (D)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Gregor Kasprian (G)

From the Department of Biomedical Imaging and Image-Guided Therapy (V.U.S., I.-V.M.H., J.M., M.L.W., R.M., P.K., I.P., C.M., G.O.D., A.K., F.P., M.S., T.D., N.A.G., D.P., G.K.), Medical University of Vienna, Vienna, Austria.

Classifications MeSH