Literature DB >> 14559024

Assessment of embryo viability: the ability to select a single embryo for transfer--a review.

D K Gardner1, D Sakkas.   

Abstract

By being able to select the most viable embryo(s) within a given cohort it will be possible to reduce the number of embryos transferred in a given IVF procedure. Several morphological scoring systems have been proposed for the successive stages of human embryo development. Other indicators of embryo viability include rate of cleavage. Finally, non-invasive methods of assessing nutrient uptake and utilization have been developed that can be used to measure the health of individual embryos. A sequential scoring system has therefore been proposed that uses the above parameters in order to create a history for each embryo during the preimplantation period. Such systems will help lead to single embryo transfers for the majority of IVF patients.

Entities:  

Mesh:

Year:  2003        PMID: 14559024     DOI: 10.1016/s0143-4004(03)00136-x

Source DB:  PubMed          Journal:  Placenta        ISSN: 0143-4004            Impact factor:   3.481


  20 in total

1.  Abnormally cleaving embryos are able to produce live births: a time-lapse study.

Authors:  Yan Ling Fan; Shu Biao Han; Li Hong Wu; Ya Ping Wang; Guo Ning Huang
Journal:  J Assist Reprod Genet       Date:  2016-01-09       Impact factor: 3.412

2.  Euploid embryos selected by an automated time-lapse system have superior SET outcomes than selected solely by conventional morphology assessment.

Authors:  E Rocafort; M Enciso; A Leza; J Sarasa; J Aizpurua
Journal:  J Assist Reprod Genet       Date:  2018-07-20       Impact factor: 3.412

3.  Live birth rate and number of blastomeres on day 2 transfer.

Authors:  Antonino Azzarello; Thomas Hoest; Anders Hay-Schmidt; Anne Lis Mikkelsen
Journal:  J Assist Reprod Genet       Date:  2016-08-04       Impact factor: 3.412

Review 4.  Physiological and molecular determinants of embryo implantation.

Authors:  Shuang Zhang; Haiyan Lin; Shuangbo Kong; Shumin Wang; Hongmei Wang; Haibin Wang; D Randall Armant
Journal:  Mol Aspects Med       Date:  2013-01-02

5.  Biomarkers of human oocyte developmental competence expressed in cumulus cells before ICSI: a preliminary study.

Authors:  Mourad Assidi; Markus Montag; Katrin Van der Ven; Marc-André Sirard
Journal:  J Assist Reprod Genet       Date:  2010-10-16       Impact factor: 3.412

6.  Preferable correlation to blastocyst development and pregnancy rates with a new embryo grading system specific for day 3 embryos.

Authors:  Masao Nomura; Akira Iwase; Kenji Furui; Takeshi Kitagawa; Yuka Matsui; Manami Yoshikawa; Fumitaka Kikkawa
Journal:  J Assist Reprod Genet       Date:  2006-12-14       Impact factor: 3.412

7.  Using the Society for Assisted Reproductive Technology Clinic Outcome System morphological measures to predict live birth after assisted reproductive technology.

Authors:  Barbara Luke; Morton B Brown; Judy E Stern; Sangita K Jindal; Catherine Racowsky; G David Ball
Journal:  Fertil Steril       Date:  2014-09-11       Impact factor: 7.329

Review 8.  Trophoblast-uterine interactions at implantation.

Authors:  John D Aplin; Susan J Kimber
Journal:  Reprod Biol Endocrinol       Date:  2004-07-05       Impact factor: 5.211

9.  The impact of thyroid function and thyroid autoimmunity on embryo quality in women with low functional ovarian reserve: a case-control study.

Authors:  Andrea Weghofer; Eric Himaya; Vitaly A Kushnir; David H Barad; Norbert Gleicher
Journal:  Reprod Biol Endocrinol       Date:  2015-05-15       Impact factor: 5.211

10.  Reduction of multiple pregnancies in the advanced maternal age population after implementation of an elective single embryo transfer policy coupled with enhanced embryo selection: pre- and post-intervention study.

Authors:  Filippo Maria Ubaldi; Antonio Capalbo; Silvia Colamaria; Susanna Ferrero; Roberta Maggiulli; Gábor Vajta; Fabio Sapienza; Danilo Cimadomo; Maddalena Giuliani; Enrica Gravotta; Alberto Vaiarelli; Laura Rienzi
Journal:  Hum Reprod       Date:  2015-07-05       Impact factor: 6.918

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.