The goal of our research was to quantify the placental vascularity in 3-D at 11-13â+â6âwk of pregnancy at precise distances from the utero-placental interface (UPI) using 3-D power Doppler ultrasound. With this automated image analysis technique, differences in vascularity between normal and pathologic pregnancies may be observed. The algorithm was validated using a computer-generated image phantom and applied retrospectively in 143 patients. The following features from the PD data were recorded: The number of spiral artery jets into the inter-villous space, total geometric and PD area. These were automatically measured at discrete millimeter distances from the UPI. Differences in features were compared with pregnancy outcomes: Pre-eclamptic versus normal, all small-for-gestational age (SGA) to appropriate-for-gestational age (AGA) patients and AGA versus SGA in normotensives (Mann-Whitney). The Benjamini-Hochberg procedure was used (false discovery rate 10%) for multiple comparison testing. Features decreased with increasing distance from the UPI (Kruskal-Wallis test; pâ<0.001). At 2- 3âmm from the UPI, all features were smaller in pre-eclamptic compared with normal patients and for some in SGA compared with AGA patients (pâ<0.05). For AGA versus SGA in normotensive patients, no significant differences were found. Number of jets measured at 2-5âmm from the UPI did not vary because of the position of the placenta in the uterus (ANOVA; pâ>â0.05). This method provides a new in-vivo imaging tool for examining spiral artery development through pregnancy. Size and number of entrances of blood flow into the UPI could potentially be used to identify high-risk pregnancies and may provide a new imaging biomarker for placental insufficiency.
Automated Visualization and Quantification of Spiral Artery Blood Flow Entering the First-Trimester Placenta, Using 3-D Power Doppler Ultrasound.
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作者:Stevenson Gordon N, Noble J Alison, Welsh Alec W, Impey Lawrence, Collins Sally L
| 期刊: | Ultrasound in Medicine and Biology | 影响因子: | 2.600 |
| 时间: | 2018 | 起止号: | 2018 Mar;44(3):522-531 |
| doi: | 10.1016/j.ultrasmedbio.2017.11.018 | ||
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