Literature DB >> 22313218

Embryo morphology as a predictor of IVF success: an evaluation of the proposed UK ACE grading scheme for cleavage stage embryos.

Christos Stylianou1, Diane Critchlow, Daniel R Brison, Stephen A Roberts.   

Abstract

This study aims to provide a first evaluation of the morphological embryo grading scheme proposed in the British Fertility Society and Association of Clinical Embryologist joint guidelines for elective single embryo transfer. Pregnancy data were obtained from a cohort of patients treated at St. Mary's Hospital in Manchester, UK, between April 2007 and July 2009. Embryo morphology was assessed on day 2 or 3 prior to transfer in terms of 3 parameters: cell number, fragmentation and evenness. Cell number was parameterised as a growth rate (doublings/day). An embryo-uterus model with adjustment for other prognostic factors was used to determine the role of the three components as predictors of pregnancy. Embryo growth rate (p < 0.001) and fragmentation (p = 0.004) were strong predictors of pregnancy and after including these, evenness did not improve the prediction significantly (p = 0.39). Normally growing embryos have a higher implantation rate than slow and fast-growing embryos. The grading scheme has proved to be feasible and robust in routine clinical practice. Based on this single-centre retrospective series we propose a selection algorithm for day 2/3 embryos based on fragmentation and growth rate. The 3 parameter grading scheme has the potential for further discrimination as larger datasets become available.

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Year:  2012        PMID: 22313218     DOI: 10.3109/14647273.2011.652251

Source DB:  PubMed          Journal:  Hum Fertil (Camb)        ISSN: 1464-7273            Impact factor:   2.767


  7 in total

1.  Double trouble: should double embryo transfer be banned?

Authors:  Dominic Wilkinson; G Owen Schaefer; Kelton Tremellen; Julian Savulescu
Journal:  Theor Med Bioeth       Date:  2015-04

Review 2.  Non invasive assessment of human oocytes and embryos in assisted reproduction: Review on present practices and future trends.

Authors:  Subhendu Pandit; Rajesh Sharma
Journal:  Med J Armed Forces India       Date:  2021-08-09

3.  Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.

Authors:  Mingpeng Zhao; Murong Xu; Hanhui Li; Odai Alqawasmeh; Jacqueline Pui Wah Chung; Tin Chiu Li; Tin-Lap Lee; Patrick Ming-Kuen Tang; David Yiu Leung Chan
Journal:  J Cell Mol Med       Date:  2021-01-24       Impact factor: 5.310

4.  Disposition of embryos from women who only produced morphologically poor embryos on day three.

Authors:  Pin-Yao Lin; Chia-Yun Lin; Ni-Chin Tsai; Fu-Jen Huang; Hsin-Ju Chiang; Yu-Ju Lin; Yu-Ting Su; Kuo-Chung Lan
Journal:  Biomed J       Date:  2021-01-15       Impact factor: 7.892

5.  Using Bonferroni, BIC and AIC to assess evidence for alternative biological pathways: covariate selection for the multilevel Embryo-Uterus model.

Authors:  Christos Stylianou; Andrew Pickles; Stephen A Roberts
Journal:  BMC Med Res Methodol       Date:  2013-06-06       Impact factor: 4.615

Review 6.  A Review of The Society for Assisted Reproductive Technology Embryo Grading System and Proposed Modification.

Authors:  Amjad Hossain; John Phelps; Ashok Agarwal; Eduardo Sanz; Maha Mahadevan
Journal:  Int J Fertil Steril       Date:  2016-06-01

7.  The Relationship between Cell Number, Division Behavior and Developmental Potential of Cleavage Stage Human Embryos: A Time-Lapse Study.

Authors:  Xiangyi Kong; Shuting Yang; Fei Gong; Changfu Lu; Shuoping Zhang; Guangxiu Lu; Ge Lin
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

  7 in total

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