Literature DB >> 26524814

Uterine artery pulsatility index and diastolic notch laterality according to the placental location.

R N Ergin, M Yayla.   

Abstract

PURPOSE OF INVESTIGATION: The authors aimed to determine the effect of placental site on uterine artery pulsatility index (PI) values and tendency for laterality of uterine artery diastolic notch in singleton pregnancies.
MATERIALS AND METHODS: All medical records of singleton pregnancies whose first trimester screening was done between years of 2004-2014, were evaluated retrospectively. Singleton pregnancies with detected/suspicious anatomical or genetic fetal anomalies, any systemic disease, familial genetic diseases, artificial reproduction techniques or missing data were excluded. Mean left and right uterine artery PI values and diastolic notch laterality ratios according to placental sites were determined and compared.
RESULTS: A total of 2,067 singleton pregnancies were included in data analyses. Mean gestational age was 12.57 ± 0.61 weeks. Left and right uterine artery PI was 1.42 ± 0.47 and 1.48 ± 0.56, respectively. Uterine artery notch was present in 18.86%. PI measurements did not show any statistical difference according to placental locations. Uterine artery notch laterality ratios according to common placental sites are as following; in anterior location (n = 190) 67% bilateral, 21% left sided, 12% right sided; in posterior (n = 136) 66% bilateral, 18% left sided, 16% right sided.
CONCLUSION: The placental site has no effect on uterine artery PI values and the laterality of uterine artery notch in singletons.

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Year:  2015        PMID: 26524814

Source DB:  PubMed          Journal:  Clin Exp Obstet Gynecol        ISSN: 0390-6663            Impact factor:   0.146


  2 in total

1.  Non-Invasive Placental Perfusion Imaging in Pregnancies Complicated by Fetal Heart Disease Using Velocity-Selective Arterial Spin Labeled MRI.

Authors:  Zungho Zun; Greg Zaharchuk; Nickie N Andescavage; Mary T Donofrio; Catherine Limperopoulos
Journal:  Sci Rep       Date:  2017-11-23       Impact factor: 4.379

2.  Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort.

Authors:  Herdiantri Sufriyana; Yu-Wei Wu; Emily Chia-Yu Su
Journal:  JMIR Med Inform       Date:  2020-05-18
  2 in total

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