Pregnancy prediction via ultrasound-detected endometrial blood for hormone replacement therapy-frozen embryo transfer: a prospective observational study

Author:

Ke Xue1,Liang Xue-fei1,Lin Yong-hong1,Wang Fang1

Affiliation:

1. Chengdu Women’s and Children’s Central Hospital, University of Electronic Science and Technology of China

Abstract

Abstract Background This study aimed to assess the predictive value of endometrial blood flow branches on pregnancy outcomes after hormone replacement therapy-frozen embryo transfer (HRT-FET). Methods This prospective observational study involved 174 reproductive-aged women who underwent endometrial receptivity assessment in a tertiary care academic medical center in southwest China using power Doppler ultrasonography during HRT-FET. On the day of endometrial transformation and the day before embryo transfer, three-dimensional power Doppler ultrasound was performed. The endometrial blood flow branches of endometrial and subendometrial regions were compared in non-pregnant and pregnant groups at the two time points above. Results The endometrial blood flow branches were higher in pregnant patients than in non-pregnant patients on the day of endometrial transformation (P = 0.025) and the day before embryo transfer (P = 0.009). Changes in endometrial blood flow pattern and endometrial blood flow branches at the two time points did not differ among the pregnancy outcome samples. After adjusting for age, antral follicles, and embryos transferred, the endometrial blood flow branches on the day before embryo transfer was the independent factor influencing the chance of clinical pregnancy, with an odds ratio of 2.745 (95% confidence interval: 1.054–7.153, P = 0.039). Conclusions Endometrial blood flow perfusion during the peri-transplantation period of the HRT-FET cycle is a good indicator of pregnancy outcomes, suggesting that valuation of endometrial branches via power Doppler ultrasound is a simple and effective approach for achieving indicator measurements.

Publisher

Research Square Platform LLC

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