Morphokinetic parameters using time-lapse technology and day 5 embryo quality: a prospective cohort study

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• 作者：Ashleigh Storr ; Christos A. Venetis…
• 关键词：Blastocyst ; Morphokinetics ; Prediction ; Time ; lapse ; Quality
• 刊名：Journal of Assisted Reproduction and Genetics
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：32
• 期：7
• 页码：1151-1160
• 全文大小：666 KB
• 参考文献：1.Edwards RG, Purdy JM, Steptoe PC, Walters DE. The growth of human preimplantation embryos in vitro. Am J Obstet Gynecol. 1981;141:408-6.PubMed
  2.Cummins JM, Breen TM, Harrison KL, Shaw JM, Wilson LM, Hennessey JF. A formula for scoring human embryo growth rates in in vitro fertilization: its value in predicting pregnancy and in comparison with visual estimates of embryo quality. Journal of In Vitro Fertilization and Embryo Transfer: IVF. 1986;3:284-5.PubMed View Article
  3.Gardner DK, Lane M, Stevens J, Schlenker T, Schoolcraft WB. Blastocyst score affects implantation and pregnancy outcome: towards a single blastocyst transfer. Fertil Steril. 2000;73:1155-.PubMed View Article
  4.Balaban B, Yakin K, Urman B. Randomized comparison of two different blastocyst grading systems. Fertil Steril. 2006;85:559-3.PubMed View Article
  5.Ahlstrom A, Westin C, Reismer E, Wikland M, Hardarson T. Trophectoderm morphology: an important parameter for predicting live birth after single blastocyst transfer. Hum Reprod. 2011;26:3289-6.PubMed View Article
  6.Pool TB. An update on embryo culture for human assisted reproductive technology: media, performance, and safety. In: Seminars in reproductive medicine. Copyright? 2005 by Thieme Medical Publishers, Inc., 333 Seventh Avenue, New York, NY 10001, USA., 2005:309-18.
  7.Gardner DK. Dissection of culture media for embryos: the most important and less important components and characteristics. Reprod Fertil Dev. 2007;20:9-8.View Article
  8.Sundvall L, Ingerslev HJ, Breth Knudsen U, Kirkegaard K. Inter- and intra-observer variability of time-lapse annotations. Hum Reprod. 2013;28:3215-1.PubMed View Article
  9.Lemmen JG, Agerholm I, Ziebe S. Kinetic markers of human embryo quality using time-lapse recordings of IVF/ICSI-fertilized oocytes. Reprod Biomed Online. 2008;17:385-1.PubMed View Article
  10.Meseguer M, Herrero J, Tejera A, Hilligsoe KM, Ramsing NB, Remohi J. The use of morphokinetics as a predictor of embryo implantation. Hum Reprod. 2011;26:2658-1.PubMed View Article
  11.Wong CC, Loewke KE, Bossert NL, Behr B, De Jonge CJ, Baer TM, et al. Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage. Nat Biotechnol. 2010;28:1115-1.PubMed View Article
  12.Cruz M, Garrido N, Herrero J, Perez-Cano I, Munoz M, Meseguer M. Timing of cell division in human cleavage-stage embryos is linked with blastocyst formation and quality. Reprod Biomed Online. 2012;25:371-1.PubMed View Article
  13.Hashimoto S, Kato N, Saeki K, Morimoto Y. Selection of high-potential embryos by culture in poly(dimethylsiloxane) microwells and time-lapse imaging. Fertil Steril. 2012;97:332-.PubMed View Article
  14.Kirkegaard K, Kesmodel US, Hindkj?r JJ, Ingerslev HJ. Time-lapse parameters as predictors of blastocyst development and pregnancy outcome in embryos from good prognosis patients: a prospective cohort study. Hum Reprod. 2013;28:2643-1.PubMed View Article
  15.Azzarello A, Hoest T, Mikkelsen AL. The impact of pronuclei morphology and dynamicity on live birth outcome after time-lapse culture. Hum Reprod. 2012;27:2649-7.PubMed View Article
  16.Dal Canto M, Coticchio G, Mignini Renzini M, De Ponti E, Novara PV, Brambillasca F, et al. Cleavage kinetics analysis of human embryos predicts development to blastocyst and implantation. Reprod Biomed Online. 2012;25:474-0.PubMed View Article
  17.VerMilyea MD, Tan L, Anthony JT, Conaghan J, Ivani K, Gvakharia M, et al. Computer-automated time-lapse analysis results correlate with embryo implantation and clinical pregnancy: a blinded, multi-centre study. Reprod Biomed Online. 2014;29:729-6.PubMed View Article
  18.Kaser DJ, Racowsky C. Clinical outcomes following selection of human preimplantation embryos with time-lapse monitoring: a systematic review. Hum Reprod Update. 2014;20:617-1.PubMed View Article
  19.Conaghan J, Chen AA, Willman SP, Ivani K, Chenette PE, Boostanfar R, et al. Improving embryo selection using a computer-automated time-lapse image analysis test plus day 3 morphology: results from a prospective multicenter trial. Fertil Steril. 2013;100:412-.PubMed View Article
  20.Best L, Campbell A, Duffy S, Montgomery S, Fishel S. Session 57: does one model fit all? Testing a published embryo selection algorithm on independent time-lapse data. Hum Reprod. 2013;28:i87-0.View Article
  21.Freour T, Le Fleuter N, Lammers J, Splingart C, Reignier A, Barriere P. External validation of a time-lapse prediction model. Fertility and Sterility 2015.
  22.Kilani S, Chapman MG. The use of polarized light microscopy in IVF. 2011.
  23.Blake DA, Farquhar CM, Johnson N, Proctor M. Cleavage stage versus blastocyst stage embryo transfer in assisted conception. The Cochrane Database of Systematic Reviews 2007: CD002118.
  24.Kallen B, Finnstrom O, Lindam A, Nilsson E, Nygren KG, Olausson PO. Blastocyst versus cleavage stage transfer in in vit
• 作者单位：Ashleigh Storr (1)
  Christos A. Venetis (2)
  Simon Cooke (1) (2)
  Daisy Susetio (1)
  Suha Kilani (1)
  William Ledger (1) (2)
  
  1. IVF Australia Western Sydney, Level 2, 20-22 Mons Road, Westmead, NSW, 2145, Australia
  2. School of Women’s and Children’s Health, UNSW Medicine, UNSW, Sydney, NSW, Australia
  
• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Gynecology
  Developmental Biology
  Human Genetics
  
• 出版者：Springer Netherlands
• ISSN：1573-7330

文摘

Purpose The aims of this prospective study were to evaluate whether time-lapse parameters can aid in the prediction of day 5 embryo quality and also to assess their discriminatory capacity. Methods In this prospective cohort study, we used time-lapse technology to record specific timings of key events for 380?day 5 blastocysts (originating from 108 patients). Generalized estimating equation regression models were used to evaluate the capacity of these markers to identify a top-quality blastocyst. Multivariable regression models were also constructed, aiming to identify the model with the highest capacity to predict a top-quality blastocyst. The discriminatory capacity of single predictors or composite models was assessed with the use of receiver operating characteristic (ROC) analyses. Results Eight significant predictive parameters of a top-quality blastocyst were identified: s3, t6, t7, t8, tM, tSB, tB and tEB. A ROC analysis of the identified parameters found s3 (area under the curve—AUC 0.585, 95?% CI 0.534-.635) to have the best individual discriminatory capacity to predict a top-quality blastocyst prior to embryo compaction. The parameter tEB (AUC 0.727, 95?% CI 0.675-.775) was the best predictor regardless of embryo stage. A model containing s3, t8 and tEB showed a slightly increased discriminatory capacity for top-quality blastocyst prediction (AUC 0.748, 95?% CI 0.697-.794). Conclusions The identified morphokinetic parameters and their cutoffs, albeit of limited clinical value, add to the increasing knowledge concerning the potential predictive markers of a top-quality blastocyst. Additional evidence is necessary before validated time-lapse parameters can be used for embryo selection in IVF laboratories.