Literature DB >> 12627424

Assessment of cortical gyrus and sulcus formation using MR images in normal fetuses.

Seiji Abe1, Kenjiro Takagi, Tatsuo Yamamoto, Yoshitaka Okuhata, Toshinori Kato.   

Abstract

OBJECTIVES: The purpose of this study was to estimate the development of the gyrus and sulcus formation in normal fetuses on the basis of the neuroanatomical findings using MR images in relation to gestational age.
METHODS: The MR images were obtained from 109 normal fetuses from 18 to 39 weeks of gestation with no neurological problems. The MR images were classified into 8 stages of development for the gyrus and sulcus formation in the frontal and temporal lobes on the basis of the neuroanatomical findings reported by Chi et al. (1977) and Dorovini-Zis and Dolman (1977). We examined retrospectively the relationship between our classification and gestational age in comparison with the five-stage classification proposed by McArdle et al. (1987).
RESULTS: There were significant differences in the gestational age among the 8 groups (P < 0.001). Multiple comparison of individual groups revealed significant differences in the gestational age among the groups (P < 0.05). Images from 28 to 34 weeks of gestation were classified into 4 stages in our classification, while being covered by one stage in McArdle's classification.
CONCLUSION: Our classification is useful for the assessment of fetal cerebral maturation during the third trimester of pregnancy and may contribute to the prenatal diagnosis of developmental delay of the gyrus and sulcus formation. Copyright 2003 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2003        PMID: 12627424     DOI: 10.1002/pd.561

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  6 in total

1.  Longitudinally guided level sets for consistent tissue segmentation of neonates.

Authors:  Li Wang; Feng Shi; Pew-Thian Yap; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2011-12-03       Impact factor: 5.038

2.  Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.

Authors:  Li Wang; Dong Nie; Guannan Li; Elodie Puybareau; Jose Dolz; Qian Zhang; Fan Wang; Jing Xia; Zhengwang Wu; Jiawei Chen; Kim-Han Thung; Toan Duc Bui; Jitae Shin; Guodong Zeng; Guoyan Zheng; Vladimir S Fonov; Andrew Doyle; Yongchao Xu; Pim Moeskops; Josien P W Pluim; Christian Desrosiers; Ismail Ben Ayed; Gerard Sanroma; Oualid M Benkarim; Adria Casamitjana; Veronica Vilaplana; Weili Lin; Gang Li; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2019-02-27       Impact factor: 10.048

3.  A surface-based analysis of hemispheric asymmetries and folding of cerebral cortex in term-born human infants.

Authors:  Jason Hill; Donna Dierker; Jeffrey Neil; Terrie Inder; Andrew Knutsen; John Harwell; Timothy Coalson; David Van Essen
Journal:  J Neurosci       Date:  2010-02-10       Impact factor: 6.167

4.  Rapid Infant Prefrontal Cortex Development and Sensitivity to Early Environmental Experience.

Authors:  Amanda S Hodel
Journal:  Dev Rev       Date:  2018-03-11

5.  Displacement of brain regions in preterm infants with non-synostotic dolichocephaly investigated by MRI.

Authors:  Andrea U J Mewes; Lilla Zöllei; Petra S Hüppi; Heidelise Als; Gloria B McAnulty; Terrie E Inder; William M Wells; Simon K Warfield
Journal:  Neuroimage       Date:  2007-04-18       Impact factor: 6.556

6.  4D multi-modality tissue segmentation of serial infant images.

Authors:  Li Wang; Feng Shi; Pew-Thian Yap; John H Gilmore; Weili Lin; Dinggang Shen
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

  6 in total

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