Literature DB >> 23583839

Differences in cortical development assessed by fetal MRI in late-onset intrauterine growth restriction.

Gabriela Egaña-Ugrinovic1, Magdalena Sanz-Cortes, Francesc Figueras, Nuria Bargalló, Eduard Gratacós.   

Abstract

OBJECTIVE: The objective of the study was to evaluate cortical development parameters by magnetic resonance imaging (MRI) in late-onset intrauterine growth-restricted (IUGR) fetuses and normally grown fetuses. STUDY
DESIGN: A total of 52 IUGR and 50 control fetuses were imaged using a 3T MRI scanner at 37 weeks of gestational age. T2 half-Fourier acquisition single-shot turbo spin-echo anatomical acquisitions were obtained in 3 planes. Cortical sulcation (fissures depth corrected by biparietal diameter), brain volumetry, and asymmetry indices were assessed by means of manual delineation and compared between cases and controls.
RESULTS: Late-onset IUGR fetuses had significantly deeper measurements in the left insula (late-onset IUGR: 0.293 vs control: 0.267; P = .02) and right insula (0.379 vs 0.318; P < .01) and the left cingulate fissure (0.096 vs 0.087; P = .03) and significantly lower intracranial (441.25 cm(3) vs 515.82 cm(3); P < .01), brain (276.47 cm(3) vs 312.07 cm(3); P < .01), and left opercular volumes (2.52 cm(3) vs 3.02 cm(3); P < .01). IUGR fetuses showed significantly higher right insular asymmetry indices.
CONCLUSION: Late-onset IUGR fetuses had a different pattern of cortical development assessed by MRI, supporting the existence of in utero brain reorganization. Cortical development could be useful to define fetal brain imaging-phenotypes characteristic of IUGR.
Copyright © 2013 Mosby, Inc. All rights reserved.

Entities:  

Keywords:  brain volumetry; cortical sulcation; fetal brain imaging

Mesh:

Year:  2013        PMID: 23583839     DOI: 10.1016/j.ajog.2013.04.008

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  19 in total

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10.  An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset.

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Journal:  Sci Data       Date:  2021-07-06       Impact factor: 6.444

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