Assessment of embryo implantation potential with a cloud-based automatic software

Alegre, L, Del Gallego, R, Bori, L, Loewke, K, Maddah, M, Aparicio-Ruiz, B, Palma-Govea, A P, Marcos, J, Meseguer, M,
Reprod Biomed Online. Jan. 2021 doi: 10.1016/j.rbmo.2020.09.032


RESEARCH QUESTION: Is embryo selection by Dana (automatic software for embryo evaluation) associated with a higher implantation rate in IVF treatments? DESIGN: A three-phase study for Dana system's validation: creation of a data-cloud of known implantation data (KID) embryos from 1676 transferred embryos; embryo evaluation by Dana considering manual annotations and embryo development videos (389 transferred embryos); and validation of Dana automatic selection, without embryologist's intervention (147 transferred embryos); RESULTS: The implantation rate of the 1021 KID embryos from phase 1 served to set four grades of embryos referring to implantation rate: A=34%, B=25%, C=24%, and D=19%. Phase 2: a classification ranking according to the unit average distance (UAD) and implantation potential was established: top (UAD 1.03). Pregnancy rates were 59%, 46%, 36% and 28%, respectively (P < 0.001). Phase 3: embryos were automatically categorized according to Dana's classification ranking. Most implanted embryos were found in groups top, high and medium (UAD 1.03) was significantly lower: 46% versus 25%, respectively (P=0.037). The twin gestation rate was higher when number of top embryos (UAD

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