Literature DB >> 27177520

Fetal middle cerebral artery Doppler indices and clinical application at Korle Bu Teaching Hospital, Accra, Ghana.

Joseph D Seffah1, Alim Swarray-Deen2.   

Abstract

OBJECTIVE: To determine normal ranges for various Doppler flow velocity indices of the fetal middle cerebral artery (MCA) and their trends in normal pregnancies at Korle Bu Teaching Hospital, Accra, Ghana.
METHODS: A prospective cross-sectional study was conducted at Korle Bu Teaching Hospital in 2015. Included women had a singleton pregnancy of 20-40weeks' duration, dated using an early ultrasonography scan, and normal fetal growth. Interviews were conducted to collect data on sociodemographic characteristics, followed by Doppler ultrasonography of the MCA. The resistive index, pulsatility index, systolic-to-diastolic ratio, and peak systolic velocity of the MCA were determined for all participants.
RESULTS: Overall, 458 pregnant women were recruited. The peak systolic velocity increased with advancing gestational age and a positive correlation of r=0.725 (P<0.001) was demonstrated between the peak systolic velocity and the gestational age. The resistive index, pulsatility index, and systolic-to-diastolic ratio of the MCA decreased with advancing gestational age in a parabolic pattern.
CONCLUSION: The reference curve for the peak systolic velocity increases with gestational age, whereas the other indices decrease in a parabolic pattern.
Copyright © 2016 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Accra; Doppler indices; Fetus; Middle cerebral artery

Mesh:

Year:  2016        PMID: 27177520     DOI: 10.1016/j.ijgo.2015.11.027

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  1 in total

1.  Prediction of neonatal acidosis using the cerebroplacental ratio at different gestational weeks: A case-control study.

Authors:  Lin-Na Guo; Yi-Qing Chai; Shuang Guo; Zhi-Kun Zhang
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

  1 in total

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