2019
DOI: 10.1016/j.ejogrb.2019.10.028
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Inter- and intra-observer variability in fetal ductus venosus blood flow measurements in high-risk fetuses at 26–32 weeks

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Cited by 5 publications
(4 citation statements)
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“…A limitation of using ultrasound parameters is their potential for variation. In the case of Doppler velocimetry this includes interobserver variability, temporal variation due to factors such as maternal and fetal movement, and variation in umbilical artery waveforms between arteries and along the length of the cord (44)(45)(46)(47). There is also considerable variation between different Doppler reference ranges, both in terms of the values of their 'normal' ranges and their methodological quality (48).…”
Section: Findings In the Context Of Existing Literaturementioning
confidence: 99%
“…A limitation of using ultrasound parameters is their potential for variation. In the case of Doppler velocimetry this includes interobserver variability, temporal variation due to factors such as maternal and fetal movement, and variation in umbilical artery waveforms between arteries and along the length of the cord (44)(45)(46)(47). There is also considerable variation between different Doppler reference ranges, both in terms of the values of their 'normal' ranges and their methodological quality (48).…”
Section: Findings In the Context Of Existing Literaturementioning
confidence: 99%
“…Серцева дисфункція, яка пов'язана з підвищенням передсердного тиску, а також зниженою податливістю шлуночків може бути переважним механізмом, що визначає профіль швидкості венозної протоки при затримці росту плода з ознаками гіпоксичного порушення. Розуміння патофізіології венозної протоки стає основою гіпотез, розроблених за допомогою біостатистики, для більш впевненого пояснення доплерівських змін кровоплину плода для прогнозування клінічних результатів [38].…”
Section: рис 2 нормальні доплерівські хвилі кровоплину плодаunclassified
“…f In T3 sIGUR, there is a cyclical or intermittent pattern of AREDF in the umbilical artery network was reconstructed based on the KEGG database through Cytoscape (Version 3.6.1). The intra-and interobserver reliability of the ultrasound measurement was calculated using the Bland-Altman method (Bruin et al 2019) via an R console, while the classifications of sIUGR were determined by the Kappa value calculated using SPSS software. The graphic illustrations of heatmaps, line graphs, and circos plots were created using ggplot2 and GOplot R-packages (Wickham 2009;Walter et al 2015).…”
Section: Metabolite Identification Data Mining and Statistical Analmentioning
confidence: 99%