Objective: To investigate the blood flow parameters between cycles of the same women to assess whether parameters predicting a successful pregnancy in a stimulation cycle could be used to determine the outcome of subsequent natural cycles.
Design: A prospective study.
Setting: Assisted reproduction unit, the University of Hong Kong.
Patient(s): Fifty-eight IVF cycles and 40 natural cycles were evaluated.
Intervention(s): Assessments of the utero-ovarian pulsatility indices (PIs), resistance indices (RIs), and endometrial color signals.
Result(s): In IVF cycles, the pregnancy rate (27%) was similar to that in frozen-thawed embryo transfer (FET) (28%) cycles. The utero-ovarian PIs and RIs in IVF cycles were significantly lower than those in the natural cycles. There was a significant correlation between the uterine PI in stimulation cycles and that in natural cycles. In IVF cycles, the pregnancy rate declined significantly when the uterine PI was >2.70 and the RI was >0.9. In FET cycles, no decline in pregnancy rate was seen. Conceptional FET cycles showed significantly higher uterine PI, uterine RI, and endometrial color signals compared with conceptional IVF cycles.
Conclusion(s): Hemodynamic parameters in stimulation cycles are different from those in natural cycles, and the values of various parameters in predicting pregnancy are also different.
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http://dx.doi.org/10.1016/s0015-0282(02)03376-9 | DOI Listing |
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Center for High Pressure Science, State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao, 066004, China.
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School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.
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Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an, 710069, China; Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an, 710069, China; Biotech. & Biomed. Research Institute, Northwest University, Xi'an, 710069, China. Electronic address:
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