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Towards the selection of embryos with the greatest implantation potential.
Khalife, Dalia; Abu-Musa, Antoine; Khalil, Ali; Ghazeeri, Ghina.
Afiliación
  • Khalife D; Department of Obstetrics and Gynecology, Jumeirah American Clinic, Dubai, UAE.
  • Abu-Musa A; Reproductive Endocrinology and Infertility Unit, Department of Obstetrics and Gynecology, American University of Beirut Medical Center, Beirut, Lebanon.
  • Khalil A; Division of Gynecologic Oncology, American University of Beirut Medical Center, Beirut, Lebanon.
  • Ghazeeri G; Reproductive Endocrinology and Infertility Unit, Department of Obstetrics and Gynecology, American University of Beirut Medical Center, Beirut, Lebanon.
J Obstet Gynaecol ; 41(7): 1010-1015, 2021 Oct.
Article en En | MEDLINE | ID: mdl-33432866
ABSTRACT
Choosing the most suitable embryo remains challenging as the standard approach to select top-quality embryos for transfer rely on static morphological assessment. It is completed after fertilisation, on days 3 and 5 post oocyte retrieval and evaluates the size and number of blastomeres, presence of nucleation and percentage of fragmentation for cleavage stage embryos. Because of the limited number of observations during the morphological assessment, morphokinetic development of embryos has been implemented. It shows a broader image of embryo behaviour with precise evaluation of the timing of events. Yet, studies are inconsistent and debatable in predicting the parameters to identify chromosomal abnormalities. Pre-implantation genetic testing detects dysmorphic embryos and correlate their developmental potential to the assessed morphology. However, the clinical utility of PGT-aneuploidy remains controversial. The future relies on newly described scoring systems such as artificial intelligence and non-invasive PGT, yet their application and actual success rate still lacks supportive evidence.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Fertilización In Vitro / Pruebas Genéticas / Desarrollo Embrionario / Embrión de Mamíferos Tipo de estudio: Prognostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: J Obstet Gynaecol Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Fertilización In Vitro / Pruebas Genéticas / Desarrollo Embrionario / Embrión de Mamíferos Tipo de estudio: Prognostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: J Obstet Gynaecol Año: 2021 Tipo del documento: Article