Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging.

agenesis of the corpus callosum biometry corpus callosum corpus callosum segments fetal brain magnetic resonance imaging super-resolution reconstruction ultrasound

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2024
Historique:
received: 20 12 2023
accepted: 08 03 2024
medline: 10 4 2024
pubmed: 10 4 2024
entrez: 10 4 2024
Statut: epublish

Résumé

To assess the accuracy of corpus callosum (CC) biometry, including sub-segments, using 3D super-resolution fetal brain MRI (SR) compared to 2D or 3D ultrasound (US) and clinical low-resolution T2-weighted MRI (T2WS). Fetal brain biometry was conducted by two observers on 57 subjects [21-35 weeks of gestational age (GA)], including 11 cases of partial CC agenesis. Measures were performed by a junior observer (obs1) on US, T2WS and SR and by a senior neuroradiologist (obs2) on T2WS and SR. CC biometric regression with GA was established. Statistical analysis assessed agreement within and between modalities and observers. This study shows robust SR to US concordance across gestation, surpassing T2WS. In obs1, SR aligns with US, except for genu and CC length (CCL), enhancing splenium visibility. In obs2, SR closely corresponds to US, differing in rostrum and CCL. The anterior CC (rostrum and genu) exhibits higher variability. SR's regression aligns better with literature (US) for CCL, splenium and body than T2WS. SR is the method with the least missing values. SR yields CC biometry akin to US (excluding anterior CC). Thanks to superior 3D visualization and better through plane spatial resolution, SR allows to perform CC biometry more frequently than T2WS.

Identifiants

pubmed: 38595845
doi: 10.3389/fneur.2024.1358741
pmc: PMC11002102
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1358741

Informations de copyright

Copyright © 2024 Lamon, de Dumast, Sanchez, Dunet, Pomar, Vial, Koob and Bach Cuadra.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Samuel Lamon (S)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Ultrasound and Fetal Medicine, Department Woman-Mother-Child, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.

Priscille de Dumast (P)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
CIBM Center for Biomedical Imaging, Lausanne, Switzerland.

Thomas Sanchez (T)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
CIBM Center for Biomedical Imaging, Lausanne, Switzerland.

Vincent Dunet (V)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Léo Pomar (L)

Ultrasound and Fetal Medicine, Department Woman-Mother-Child, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
School of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland.

Yvan Vial (Y)

Ultrasound and Fetal Medicine, Department Woman-Mother-Child, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.

Mériam Koob (M)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Meritxell Bach Cuadra (M)

Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
CIBM Center for Biomedical Imaging, Lausanne, Switzerland.

Classifications MeSH