Traditionally, the shape and structure of blastocysts, crucial indicators of pregnancy success, are assessed using 2D methods. However, these methods lack depth and comprehensive indicators. “Although some 3D methods exist, they aren’t practical or safe for clinical use,” explains Dr. Bo Huang, the study’s lead author. This study presents a clinically applicable 3D evaluation method, revealing previously unrecognized spatial features of blastocysts that predict outcomes.
The study included women under 40 with a uterine lining of 7-16mm and no more than one prior embryo transfer failure. Researchers used EmbryoScope+ to capture detailed images of 2,141 frozen-thaw single blastocysts. These images were used to create 3D models, which were analyzed to identify blastocyst features related to successful pregnancies.
The model was validated by comparing it with fluorescence imaging of human blastocysts, achieving over 90% accuracy. Key measurements such as the blastocyst’s size, shape, and cell characteristics were identified. Parameters related to size, including overall volume, cavity volume, and surface area, were linked to higher pregnancy rates. Specific features of the inner cell mass and outer layer were also strongly associated with better outcomes.
Dr. Huang notes, “These results match what we see in clinical outcomes, but we couldn’t previously measure these. This study shows that the 3D shape of the blastocyst’s inner cell mass, its position, and how the surrounding cells are arranged can be important indicators of success, which we didn’t know before.”
Looking ahead, the research team plans to collaborate with multiple centers to further validate these findings and invites reproductive centers worldwide to participate. The ultimate aim is to make 3D evaluation of blastocysts a standard clinical practice, offering new hope to those undergoing IVF.
Professor Dr. Anis Feki, Chair-Elect of ESHRE, emphasizes the need for careful validation of these findings through further studies and collaborations before clinical application. The study’s abstract will be published in Human Reproduction, a leading reproductive medicine journal.
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