Literature DB >> 20638336

Sequential embryo scoring as a predictor of aneuploidy in poor-prognosis patients.

A Finn1, L Scott, Thomas O'Leary, D Davies, J Hill.   

Abstract

The delivery rates of 298 patients having preimplantation genetic diagnosis with aneuploidy screening (PGS) were compared with the delivery rates of 144 PGS patients that cancelled the plan for PGS with embryo transfer on day 2 or day 3. The goal of this study was to compare the impact of embryo de-selection with PGS to embryo selection using sequential embryo scoring (SES) on outcome in poor-prognosis patients. Embryos with good sequential scores were more likely to have a normal PGS result than embryos with poor SES scores (34% versus 12%; P<0.05). Patients proceeding with PGS had an overall delivery rate of 15% per oocyte retrieval. There was a significant difference in delivery rates between patients with less than six embryos and patients with greater than six embryos (6% versus 19%; P<0.005). The overall delivery rate for patients having transfers without PGS was 23% (P<0.05 compared with PGS patients) with no difference between low and good responders. It was concluded that PGS neither enhanced nor impaired delivery rates in high responding poor-prognosis patients yet SES may be more accurate than PGS as a means of selection for low-responding poor-prognosis patients.
Copyright © 2010 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20638336     DOI: 10.1016/j.rbmo.2010.05.004

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  13 in total

1.  A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go?

Authors:  Catherine Racowsky; Peter Kovacs; Wellington P Martins
Journal:  J Assist Reprod Genet       Date:  2015-07-01       Impact factor: 3.412

2.  Time-lapse systems for embryo incubation and assessment in assisted reproduction.

Authors:  Sarah Armstrong; Priya Bhide; Vanessa Jordan; Allan Pacey; Jane Marjoribanks; Cindy Farquhar
Journal:  Cochrane Database Syst Rev       Date:  2019-05-29

Review 3.  Automation in ART: Paving the Way for the Future of Infertility Treatment.

Authors:  Kadrina Abdul Latif Abdullah; Tomiris Atazhanova; Alejandro Chavez-Badiola; Sourima Biswas Shivhare
Journal:  Reprod Sci       Date:  2022-08-03       Impact factor: 2.924

Review 4.  Could time-lapse embryo imaging reduce the need for biopsy and PGS?

Authors:  Jason E Swain
Journal:  J Assist Reprod Genet       Date:  2013-07-11       Impact factor: 3.412

5.  No relationship between embryo morphology and successful derivation of human embryonic stem cell lines.

Authors:  Susanne Ström; Kenny Rodriguez-Wallberg; Frida Holm; Rosita Bergström; Linda Eklund; Anne-Marie Strömberg; Outi Hovatta
Journal:  PLoS One       Date:  2010-12-31       Impact factor: 3.240

Review 6.  Time-lapse systems for embryo incubation and assessment in assisted reproduction.

Authors:  Sarah Armstrong; Priya Bhide; Vanessa Jordan; Allan Pacey; Cindy Farquhar
Journal:  Cochrane Database Syst Rev       Date:  2018-05-25

Review 7.  Revealing the secret life of pre-implantation embryos by time-lapse monitoring: A review.

Authors:  Azita Faramarzi; Mohammad Ali Khalili; Giulietta Micara; Azam Agha-Rahimi
Journal:  Int J Reprod Biomed       Date:  2017-05

8.  Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image.

Authors:  Yasunari Miyagi; Toshihiro Habara; Rei Hirata; Nobuyoshi Hayashi
Journal:  Reprod Med Biol       Date:  2019-02-19

9.  Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age.

Authors:  Yasunari Miyagi; Toshihiro Habara; Rei Hirata; Nobuyoshi Hayashi
Journal:  Reprod Med Biol       Date:  2019-03-01

10.  A Preclinical Evaluation towards the Clinical Application of Oxygen Consumption Measurement by CERMs by a Mouse Chimera Model.

Authors:  Takashi Kuno; Masahito Tachibana; Ayako Fujimine-Sato; Misaki Fue; Keiko Higashi; Aiko Takahashi; Hiroki Kurosawa; Keisuke Nishio; Naomi Shiga; Zen Watanabe; Nobuo Yaegashi
Journal:  Int J Mol Sci       Date:  2019-11-12       Impact factor: 5.923

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