Literature DB >> 27101791

Magnetic resonance imaging of the fetal brain.

L Mf Tee1, E Yl Kan1, J Cy Cheung1, W C Leung2.   

Abstract

INTRODUCTION: This review covers the recent literature on fetal brain magnetic resonance imaging, with emphasis on techniques, advances, common indications, and safety.
METHODS: We conducted a search of MEDLINE for articles published after 2010. The search terms used were "(fetal OR foetal OR fetus OR foetus) AND (MR OR MRI OR [magnetic resonance]) AND (brain OR cerebral)". Consensus statements from major authorities were also included. As a result, 44 relevant articles were included and formed the basis of this review.
RESULTS: One major challenge is fetal motion that is largely overcome by ultra-fast sequences. Currently, single-shot fast spin-echo T2-weighted imaging remains the mainstay for motion resistance and anatomical delineation. Recently, a snap-shot inversion recovery sequence has enabled robust T1-weighted images to be obtained, which is previously a challenge for standard gradient-echo acquisitions. Fetal diffusion-weighted imaging, diffusion tensor imaging, and magnetic resonance spectroscopy are also being developed. With multiplanar capabilities, superior contrast resolution and field of view, magnetic resonance imaging does not have the limitations of sonography, and can provide additional important information. Common indications include ventriculomegaly, callosum and posterior fossa abnormalities, and twin complications. There are safety concerns about magnetic resonance-induced heating and acoustic damage but current literature showed no conclusive evidence of deleterious fetal effects. The American College of Radiology guideline states that pregnant patients can be accepted to undergo magnetic resonance imaging at any stage of pregnancy if risk-benefit ratio to patients warrants that the study be performed.
CONCLUSIONS: Magnetic resonance imaging of the fetal brain is a safe and powerful adjunct to sonography in prenatal diagnosis. It can provide additional information that aids clinical management, prognostication, and counselling.

Entities:  

Keywords:  Brain/embryology; Magnetic resonance imaging; Prenatal diagnosis

Mesh:

Year:  2016        PMID: 27101791     DOI: 10.12809/hkmj154678

Source DB:  PubMed          Journal:  Hong Kong Med J        ISSN: 1024-2708            Impact factor:   2.227


  6 in total

1.  The Brainstem-Vermis and Brainstem-Tentorium Angles in the Fetus: A Study of Their Reproducibility by Fetal Magnetic Resonance Imaging and Their Evolution Along the Gestation.

Authors:  Laura Joigneau Prieto; Yolanda Ruiz; Laura Pérez; Coral Bravo; Alejandra Aguado; Melchor Alvarez-Mon; Miguel A Ortega; Carlos Marín; Juan De León-Luis
Journal:  Front Med (Lausanne)       Date:  2022-05-26

2.  Association of gestational age with MRI-based biometrics of brain development in fetuses.

Authors:  Yuequan Shi; Yunjing Xue; Chunxia Chen; Kaiwu Lin; Zuofu Zhou
Journal:  BMC Med Imaging       Date:  2020-11-25       Impact factor: 1.930

3.  A Sparse Volume Reconstruction Method for Fetal Brain MRI Using Adaptive Kernel Regression.

Authors:  Qian Ni; Yi Zhang; Tiexiang Wen; Ling Li
Journal:  Biomed Res Int       Date:  2021-03-05       Impact factor: 3.411

4.  Value of Lumbar MRI Parameters in the Evaluation of Postoperative Curative Effect on Patients with Lumbar Disc Herniation and Analysis of Risk Factors.

Authors:  Danguo Chen; Shengquan He
Journal:  Evid Based Complement Alternat Med       Date:  2021-10-21       Impact factor: 2.629

5.  The Application of Convolutional Neural Network Model in Diagnosis and Nursing of MR Imaging in Alzheimer's Disease.

Authors:  Xiaoxiao Chen; Linghui Li; Ashutosh Sharma; Gaurav Dhiman; S Vimal
Journal:  Interdiscip Sci       Date:  2021-07-05       Impact factor: 2.233

Review 6.  Review of Audiovestibular Symptoms Following Exposure to Acoustic and Electromagnetic Energy Outside Conventional Human Hearing.

Authors:  Rory J Lubner; Neil S Kondamuri; Renata M Knoll; Bryan K Ward; Philip D Littlefield; Derek Rodgers; Kalil G Abdullah; Aaron K Remenschneider; Elliott D Kozin
Journal:  Front Neurol       Date:  2020-04-28       Impact factor: 4.003

  6 in total

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