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Gonadotropin-releasing hormone agonist protocols for pituitary suppression in assisted reproduction.
Cochrane Database Syst Rev
January 2025
Institute of Education in Healthcare and Medical Sciences, University of Aberdeen, Aberdeen, UK.
Background: Gonadotropin-releasing hormone agonists (GnRHa) are commonly used in assisted reproduction technology (ART) cycles to prevent a luteinising hormone (LH) surge during controlled ovarian hyperstimulation (COH) prior to planned oocyte retrieval, thus optimising the chances of live birth. We compared the benefits and risks of the different GnRHa protocols used.
Objectives: To evaluate the effectiveness and safety of different GnRHa protocols used as adjuncts to COH in women undergoing ART.
Fertility journey of a patient with McCune-Albright syndrome associated with bilateral ovarian involvement.
F S Rep
December 2024
Department of Obstetrics and Gynaecology, University of Ottawa, Ottawa, Ontario, Canada.
Objective: To report a patient with McCune-Albright syndrome (MAS) with bilateral ovarian involvement who had achieved a pregnancy through in vitro fertilization (IVF).
Design: Case report.
Setting: Academic fertility center.
Intraovarian platelet-rich plasma injection significantly improves blastocyst yield and quality in IVF patients.
Sci Rep
January 2025
Division of Infertility, Lee Women's Hospital, Taichung City, 406, Taiwan.
This study evaluated the effectiveness of intraovarian platelet-rich plasma (PRP) injection in improving ovarian response and embryo quality in IVF patients with poor embryo quality in previous controlled ovarian hyperstimulation (COH) cycles. 74 patients participated, with 30 in the control group and 44 in the PRP group. PRP was injected during the follicular phase for the PRP group.
View Article and Find Full Text PDFExplainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception.
Nat Commun
January 2025
Department of Metabolism, Digestion, and Reproduction, Imperial College London, London, UK.
Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). IVF generates complex data, which can challenge the utilization of the full richness of data during decision-making, leading to reliance on simple 'rules-of-thumb'. Machine learning techniques are well-suited to analyzing complex data to provide data-driven recommendations to improve decision-making.
View Article and Find Full Text PDFComparative Analysis of Controlled Ovarian Hyperstimulation and Modified Natural Cycle Protocols on Gene Expression and Quality of Oocytes, Zygotes, and Embryos in Assisted Reproductive Technology (ART).
Int J Mol Sci
December 2024
Faculty of Biotechnology and Drug Development, University of Rijeka, HR-51000 Rijeka, Croatia.
This study investigated the influence of two in vitro fertilization (IVF) protocols-controlled ovarian hyperstimulation (COH) and a modified natural cycle protocol-on gene expression levels (Anti-Müllerian Hormone (), Anti-Müllerian Hormone Receptor Type 2 (), Follicle-Stimulating Hormone Receptor (), and Androgen Receptor ()) and the subsequent reproductive outcomes of assisted reproductive technology (ART). Gene expression, as well as oocyte, zygote, and embryo morphological parameters, were analyzed to evaluate the differences between the protocols. Our findings show that expression was significantly associated with successful fertilization, while expression correlated with improved embryo transfer outcomes.
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