Literature DB >> 9683350

Relationships between the developmental potential of human in-vitro fertilization embryos and features describing the embryo, oocyte and follicle.

R R Saith1, A Srinivasan, D Michie, I L Sargent.   

Abstract

This paper investigates the relationship of features of in-vitro fertilization (IVF) embryos and the associated oocyte and follicle to the outcome of transfer. It differs from previous studies in including a range of features (n = 53) and in using class probability tree analysis. This is a non-parametric multivariate method which expresses relationships as simple rules of features characterizing the 'take home baby' and 'no take home baby' (negative pregnancy test) classes of embryo batches. Data were analysed retrospectively. Fifty-three (embryo, oocyte and follicular) features for each of the three embryos in the transferred batch were collected for 200 IVF patients. Each batch of three embryos was described by a representative value for each feature. The relationship between features and outcome of transfer was analysed. Only four of the 53 features were identified as predictive. However, an appropriate combination of these four (embryo grade, cell number, follicle size and follicular fluid volume) achieved satisfactory predictivities while offering a simplified and more quantitative basis than regularly used criteria. The key component of the composite embryo grading allotted by embryologists turned out to be cell number. The existing predictive use of follicular size was corroborated and an independent additional predictive contribution of follicular fluid volume was found. The study also suggests that the 49 remaining features have little additional predictive value.

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Year:  1998        PMID: 9683350     DOI: 10.1093/humupd/4.2.121

Source DB:  PubMed          Journal:  Hum Reprod Update        ISSN: 1355-4786            Impact factor:   15.610


  5 in total

1.  Is there an advantage in scoring early embryos on more than one day?

Authors:  Catherine Racowsky; Lucila Ohno-Machado; Jihoon Kim; John D Biggers
Journal:  Hum Reprod       Date:  2009-06-02       Impact factor: 6.918

Review 2.  A critical review of bi-dimensional and three-dimensional ultrasound techniques to monitor follicle growth: do they help improving IVF outcome?

Authors:  Alberto Revelli; Giorgia Martiny; Luisa Delle Piane; Chiara Benedetto; Paolo Rinaudo; Ilan Tur-Kaspa
Journal:  Reprod Biol Endocrinol       Date:  2014-11-24       Impact factor: 5.211

3.  Estimating the chance of success in IVF treatment using a ranking algorithm.

Authors:  H Altay Güvenir; Gizem Misirli; Serdar Dilbaz; Ozlem Ozdegirmenci; Berfu Demir; Berna Dilbaz
Journal:  Med Biol Eng Comput       Date:  2015-04-17       Impact factor: 2.602

Review 4.  Modeling to optimize terminal stem cell differentiation.

Authors:  G Ian Gallicano
Journal:  Scientifica (Cairo)       Date:  2013-02-11

5.  Oocyte Scoring Enhances Embryo-Scoring in Predicting Pregnancy Chances with IVF Where It Counts Most.

Authors:  Emanuela Lazzaroni-Tealdi; David H Barad; David F Albertini; Yao Yu; Vitaly A Kushnir; Helena Russell; Yan-Guang Wu; Norbert Gleicher
Journal:  PLoS One       Date:  2015-12-02       Impact factor: 3.240

  5 in total

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