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Chapter 11 - Dynamic Morphological Assessment for Embryo Selection

Published online by Cambridge University Press:  26 April 2023

By
Alison Campbell
Edited by
Catherine Racowsky ,
Jacques Cohen  and
Nicholas Macklon
Catherine Racowsky
Affiliation:
Hôpital Foch, France
Jacques Cohen
Affiliation:
IVF 2.0, New York
Nicholas Macklon
Affiliation:
London Women's Clinic
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Summary

This chapter introduces the concept and practicalities of dynamic assessment of human preimplantation embryos and describes the key considerations required before implementing this technology in IVF laboratories. It offers technical and practical expert advice on the introduction of dynamic embryo assessment and how to use the resulting information and data, such as ‘Know Implantation Data’, (KID). The chapter provides an overview of the common nomenclature of time lapse imaging, annotation and the possible subsequent derivation of algorithms for embryo selection. It considers some of the available literature relating to time lapse imaging and highlights the proposed benefits of this technology, including some of the key findings to date such as the possible impact of aneuploidy on embryo development and morphokinetics.

Type
Chapter
Information
Manual of Embryo Selection in Human Assisted Reproduction , pp. 113 - 122
Publisher: Cambridge University Press
Print publication year: 2023

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References

Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology. The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting. Hum Reprod. 2011;26:1270–83.Google Scholar
Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology. The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting. Reprod Biomed Online. 2011;22:632–6.Google Scholar
Campbell, A, Fishel, S, editors. Atlas of time lapse embryology. Boca Raton, FL: CRC Press; 2015.CrossRefGoogle Scholar
Ciray, HN, Campbell, A, Agerholm, IE, Aguilar, J, Chamayou, S, Esbert, M, Sayed, S. Proposed guidelines on the nomenclature and annotation of dynamic human embryo monitoring by a time-lapse user group. Human Reprod. 2014;29(12):2650–60.CrossRefGoogle ScholarPubMed
Basile, N, Vime, P, Florensa, M, Aparicio Ruiz, B, Garcia Velasco, JA, Remohi, J, Meseguer, M. The use of morphokinetics as a predictor of implantation: a multicentric study to define and validate an algorithm for embryo selection. Human Reprod. 2014;30(2):276–83.Google ScholarPubMed
Peterson, BM, Boel, M, Montag, M, Gardner, DK. Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on day 3. Hum Reprod. 2016;31:2231–44.Google Scholar
Fishel, S, Campbell, A, Foad, F, Davies, L, Best, L, Davis, N, et al. Evolution of embryo selection for IVF from subjective morphology assessment to objective time-lapse algorithms improves chance of live birth. Reprod Biomed Online. 2020;40(1):61–70.CrossRefGoogle ScholarPubMed
Pribenszky, C, Nilselid, AM, Montag, M. Time-lapse culture with morphokinetic embryo selection improves pregnancy and live birth chances and reduces early pregnancy loss: a meta-analysis. Reprod Biomed Online. 2017;35(5):511–20.Google Scholar
Armstrong, S, Bhide, P, Jordan, V, Pacey, A, Farquhar, C. Time-lapse systems for ART. Reprod Biomed Online. 2018;1(36):288–9.Google Scholar
Tran, D, Cooke, S, Illingworth, PJ, Gardner, DK. Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer. Hum Reprod. 2019;34(6):1011–18.CrossRefGoogle ScholarPubMed
Chavez, SL, Loewke, KE, Han, J, Moussavi, F, Colls, P, Munne, S, et al. Dynamic blastomere behaviour reflects human embryo ploidy by the four-cell stage. Nature Comms. 2012;3:1251.Google Scholar
Reignier, A, Lammers, J. Barriere, P, Freour, T. Can time-lapse parameters predict embryo ploidy? A systematic review. Reprod Biomed Online. 2018;26:380–7.Google Scholar
Swain, JE. Controversies in ART: can the IVF laboratory influence preimplantation embryo aneuploidy? Reprod Biomed Online. 2019;39(4):599–607.CrossRefGoogle ScholarPubMed
Campbell, A. Noninvasive techniques: embryo selection by time lapse imaging. In: Montag, Markus, editor. A practical guide to selecting gametes and embryos. Boca Raton, FL: CRC Press; 2014. p. 177–89.Google Scholar

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