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Shurygina O.V.

Samara State Medical University

Rozhnova A.A.

Samara State Medical University

Guseva O.S.

Samara State Medical University

Petrova A.A.

Samara State Medical University

Minaeva T.V.

Samara State Medical University

A challenge of the embryo selection: PGT-A-based diagnostics or prediction using an artificial intelligece and time-lapse technology?

Authors:

Shurygina O.V., Rozhnova A.A., Guseva O.S., Petrova A.A., Minaeva T.V.

More about the authors

Journal: Russian Journal of Human Reproduction. 2024;30(6): 99‑107

DOI: 10.17116/repro20243006199

Read: 763 times

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Table of contents

A CHALLENGE OF THE EMBRYO SELECTION: PGT-A-BASED DIAGNOSTICS OR PREDICTION USING AN ARTIFICIAL INTELLIGECE AND TIME-LAPSE TECHNOLOGY?
A CHALLENGE OF THE EMBRYO SELECTION: PGT-A-BASED DIAGNOSTICS OR PREDICTION USING AN ARTIFICIAL INTELLIGECE AND TIME-LAPSE TECHNOLOGY?

To cite this article:

Shurygina OV, Rozhnova AA, Guseva OS, Petrova AA, Minaeva TV. A challenge of the embryo selection: PGT-A-based diagnostics or prediction using an artificial intelligece and time-lapse technology? Russian Journal of Human Reproduction. 2024;30(6):99‑107. (In Russ.)
https://doi.org/10.17116/repro20243006199

Подписка 2026 Проблемы репродукции (Russian Journal of Human Reproduction)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
Abstract:

Currently, the embryo’s normal chromosomal status as determined using pre-implantation genetic testing for aneuploidy (PGT-A) is the most precise predictor of its implantation. However, the blastocyst quality does not allow atraumatic biopsy of trophectodermal cells which constrains skilled persons to seek alternative solutions to the issue of selection of the embryo to be transferred. Implementing of the time-lapse technology and artificial intelligence (AI) into the embryological practice changes and improves the embryo assessment criteria. Current algorithms to assess the morphological quality of the embryos to be transferred may be improved significantly via efficient use of the time-lapse imaging. This review is aimed at the analysis of the prognostic value of the time-lapse technology (TLT) and AI data as non-invasive techniques of in vitro embryo selection vs. an invasive biopsy of the trophectoderm followed by pre-implantation genetic testing for aneuploidy (PGT-A). The review includes an analysis of the sources from the systems indexing biomedical study materials. These materials show high concordance of PGT-A estimations with AI-based analyses, and also support the usefulness of AI to assess the genetic status of the embryos in clinical settings.

Keywords:

time-lapse imaging
embryonic development
genetic testing
chromosome disorders
blastocyst

Authors:

Shurygina O.V.

Samara State Medical University

Rozhnova A.A.

Samara State Medical University

Guseva O.S.

Samara State Medical University

Petrova A.A.

Samara State Medical University

Minaeva T.V.

Samara State Medical University

Received:

05.09.2024

Accepted:

30.10.2024

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