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26A - Time-Lapse Imaging Should Be a Routine Procedure in Clinical Embryology

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from Section IV - Embryology

Published online by Cambridge University Press:  25 November 2021

Roy Homburg
Affiliation:
Homerton University Hospital, London
Adam H. Balen
Affiliation:
Leeds Centre for Reproductive Medicine
Robert F. Casper
Affiliation:
Mount Sinai Hospital, Toronto
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Summary

Assisted reproductive technology has moved from the cottage industry of the 1980s to a global business that treats millions of patients using advanced treatments and cutting-edge science. The landscape shifts constantly, and it is incumbent upon those who work in this area of medicine to stay up to date and provide their patients with the best possible chance of a healthy child. In my opinion it is incontrovertible that the best currently available laboratory technology for culture of optimal quality and number of blastocysts involves time-lapse imaging systems with use of artificial intelligence (AI) in image analysis. As with many rapidly moving areas of medical technology, it has taken time to develop efficient systems for time-lapse imaging of embryos in culture, but there are now several mature and stable options available for purchase. Time-lapse systems obviously allow the embryologist to assess development to blastocyst without disturbing the embryo incubation, and offer significant shortening in time to pregnancy over conventional incubation methods [1]. This is important to patients as a shorter time to pregnancy reduces the emotional burden of treatment that leads to implantation failure and reduces the financial and psychological costs involved in repeated embryo transfers.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2021

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References

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 Nov;35(5):511–20.CrossRefGoogle ScholarPubMed
Storr, A, Venetis, C, Cooke, S, Kilani, S, Ledger, W. Time-lapse algorithms and morphological selection of day-5 embryos for transfer: a preclinical validation study. Fertil Steril. 2018 Feb;109(2):276–83.e3.CrossRefGoogle ScholarPubMed
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 June 4;34(6):1011–18.CrossRefGoogle ScholarPubMed
Armstrong, S, Bhide, P, Jordan, V, Pacey, A, Marjoribanks, J, Farquhar, C. Time-lapse systems for embryo incubation and assessment in assisted reproduction. Cochrane Database Syst Rev. 2019 May 29;5:CD011320.Google ScholarPubMed
Mastenbroek, S, Twisk, M, van Echten-Arends, J, et al. In vitro fertilization with preimplantation genetic screening. New Engl J Med. 2007;357:917.CrossRefGoogle ScholarPubMed

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