دورية أكاديمية

A novel non-invasive embryo evaluation method (NICS-Timelapse) with enhanced predictive precision and clinical impact

التفاصيل البيبلوغرافية
العنوان: A novel non-invasive embryo evaluation method (NICS-Timelapse) with enhanced predictive precision and clinical impact
المؤلفون: Hui He, Li Wu, Yulin Chen, Tuan Li, Xinling Ren, Juan Hu, Jinming Liu, Wen Chen, Bingxin Ma, Yangyun Zou, Zhen Liu, Sijia Lu, Bo Huang, Lei Jin
المصدر: Heliyon, Vol 10, Iss 9, Pp e30189- (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Science (General)
LCC:Social sciences (General)
مصطلحات موضوعية: Science (General), Q1-390, Social sciences (General), H1-99
الوصف: The selection of the finest possible embryo in in-vitro fertilization (IVF) was crucial and revolutionary, particularly when just one embryo is transplanted to lessen the possibility of multiple pregnancies. However, practical usefulness of currently used methodologies may be constrained. Here, we established a novel non-invasive embryo evaluation method that combines non-invasive chromosomal screening (NICS) and Timelapse system along with artificial intelligence algorithms. With an area under the curve (AUC) of 0.94 and an accuracy of 0.88, the NICS-Timelapse model was able to predict blastocyst euploidy. The performance of the model was further evaluated using 75 patients in various clinical settings. The clinical pregnancy and live birth rates of embryos predicted by the NICS-Timelapse model, showing that embryos with higher euploid probabilities were associated with higher clinical pregnancy and live birth rates. These results demonstrated the NICS-Timelapse model's significantly wider application in clinical IVF due to its excellent accuracy and noninvasiveness.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2405-8440
Relation: http://www.sciencedirect.com/science/article/pii/S2405844024062200; https://doaj.org/toc/2405-8440
DOI: 10.1016/j.heliyon.2024.e30189
URL الوصول: https://doaj.org/article/94201f36b3124471ac5d771f187fdd33
رقم الأكسشن: edsdoj.94201f36b3124471ac5d771f187fdd33
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24058440
DOI:10.1016/j.heliyon.2024.e30189