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Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization
BACKGROUND: In this study, we aimed to investigate the ability of transvaginal Doppler ultrasonography in predicting in vitro fertilization (IVF) outcome in women undergoing this procedure. MATERIALS AND METHODS: In this prospective observational study, 65 infertile women underwent IVF procedure in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696374/ https://www.ncbi.nlm.nih.gov/pubmed/26759576 http://dx.doi.org/10.4103/1735-1995.170622 |
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author | Adibi, Atoosa Khadem, Maryam Mardanian, Farahnaz Hovsepian, Silva |
author_facet | Adibi, Atoosa Khadem, Maryam Mardanian, Farahnaz Hovsepian, Silva |
author_sort | Adibi, Atoosa |
collection | PubMed |
description | BACKGROUND: In this study, we aimed to investigate the ability of transvaginal Doppler ultrasonography in predicting in vitro fertilization (IVF) outcome in women undergoing this procedure. MATERIALS AND METHODS: In this prospective observational study, 65 infertile women underwent IVF procedure in Isfahan, during 2013-2014, were studied. The pulsatility index (PI), resistive index (RI) and peak systolic velocity (PSV) of the uterine arteries and arcuate arteries were measured in all selected women using transvaginal color and pulsed Doppler measurements on the day of human chorionic gonadotrophin injection. The women followed up for the primary endpoint which was a successful pregnancy. The mean of PI, RI, and PSV were compared in groups of women who had successful IVF and not. The receiver operating characteristic (ROC) curve was used to determine the predictive value of studied indices. RESULTS: In this study, from 65 women, 32 (49.2%) and 33 (50.8%) have successful and unsuccessful IVF outcome, respectively. The mean of PI and RI of both uterine and arcuate arteries were significantly lower in pregnant women than non-pregnant ones (P < 0.001). The area under the ROC curve of PI (84.7%) and RI (84.4%) for uterine arteries was higher than other indices. The most accurate indices for predicting the outcome of IVF was RI of uterine arteries with an accuracy of 81.5%. CONCLUSION: The findings of this study indicated that PI and RI assessments of uterine arteries could be used as a routine non-invasive factor, before hCG stimulation, for predicting the outcome of IVF. |
format | Online Article Text |
id | pubmed-4696374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-46963742016-01-12 Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization Adibi, Atoosa Khadem, Maryam Mardanian, Farahnaz Hovsepian, Silva J Res Med Sci Original Article BACKGROUND: In this study, we aimed to investigate the ability of transvaginal Doppler ultrasonography in predicting in vitro fertilization (IVF) outcome in women undergoing this procedure. MATERIALS AND METHODS: In this prospective observational study, 65 infertile women underwent IVF procedure in Isfahan, during 2013-2014, were studied. The pulsatility index (PI), resistive index (RI) and peak systolic velocity (PSV) of the uterine arteries and arcuate arteries were measured in all selected women using transvaginal color and pulsed Doppler measurements on the day of human chorionic gonadotrophin injection. The women followed up for the primary endpoint which was a successful pregnancy. The mean of PI, RI, and PSV were compared in groups of women who had successful IVF and not. The receiver operating characteristic (ROC) curve was used to determine the predictive value of studied indices. RESULTS: In this study, from 65 women, 32 (49.2%) and 33 (50.8%) have successful and unsuccessful IVF outcome, respectively. The mean of PI and RI of both uterine and arcuate arteries were significantly lower in pregnant women than non-pregnant ones (P < 0.001). The area under the ROC curve of PI (84.7%) and RI (84.4%) for uterine arteries was higher than other indices. The most accurate indices for predicting the outcome of IVF was RI of uterine arteries with an accuracy of 81.5%. CONCLUSION: The findings of this study indicated that PI and RI assessments of uterine arteries could be used as a routine non-invasive factor, before hCG stimulation, for predicting the outcome of IVF. Medknow Publications & Media Pvt Ltd 2015-09 /pmc/articles/PMC4696374/ /pubmed/26759576 http://dx.doi.org/10.4103/1735-1995.170622 Text en Copyright: © 2015 Journal of Research in Medical Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Adibi, Atoosa Khadem, Maryam Mardanian, Farahnaz Hovsepian, Silva Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization |
title | Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization |
title_full | Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization |
title_fullStr | Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization |
title_full_unstemmed | Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization |
title_short | Uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization |
title_sort | uterine and arcuate arteries blood flow for predicting of ongoing pregnancy in in vitro fertilization |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696374/ https://www.ncbi.nlm.nih.gov/pubmed/26759576 http://dx.doi.org/10.4103/1735-1995.170622 |
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