Assisted reproductive technologies: toward improving implantation rates and reducing high-order multiple gestations

Area of Science:

• Reproductive medicine and embryology.
• In vitro fertilization (IVF) and assisted reproductive technologies (ART).

Background:

• High-order multiple gestations remain a significant concern in reproductive medicine.
• Current embryo selection relies on imperfect morphologic criteria, impacting implantation prediction.
• The drive for high pregnancy rates contributes to the high incidence of multiple gestations.

Purpose of the Study:

• To describe current and potential strategies for improving embryo selection.
• To reduce the number of embryos transferred during IVF procedures.
• To decrease the rate of high-order multiple gestations.

Main Methods:

• Review of existing and emerging embryo selection techniques.
• Analysis of morphologic and non-morphologic predictors of implantation.
• Discussion of strategies to enhance predictive accuracy.

Main Results:

• Morphologic assessment alone is insufficient for predicting embryo implantation potential.
• Improved embryo selection methods are crucial for optimizing IVF outcomes.
• Several novel approaches show promise in enhancing predictive capabilities.

Conclusions:

• Enhanced embryo selection strategies are essential for reducing multiple gestation rates.
• Reducing the number of transferred embryos is key to improving reproductive outcomes.
• Further research into predictive markers will refine IVF success and patient safety.