Assessment of embryo implantation potential with a cloud-based automatic software
•Automatic software establishes a ranking relying on embryo implantation likelihood.•Distance to the center of the cloud of KID embryos as unit of pregnancy potential.•Detection of the embryo development using time-lapse images and a cloud of database.•Software is able to select embryos with high im...
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| Published in: | Reproductive biomedicine online 2021-01, Vol.42 (1), p.66-74 |
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| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | eng |
| Subjects: | |
| Online Access: | Get full text |
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| Summary: | •Automatic software establishes a ranking relying on embryo implantation likelihood.•Distance to the center of the cloud of KID embryos as unit of pregnancy potential.•Detection of the embryo development using time-lapse images and a cloud of database.•Software is able to select embryos with high implantation potential automatically.
Is embryo selection by Dana (automatic software for embryo evaluation) associated with a higher implantation rate in IVF treatments?
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);
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 ≤0.50), high (UAD = 0.51–0.66), medium (UAD = 0.67–1.03) and low (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), whereas the implantation rate in group low (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 ≤0.5) transferred were two (52%) versus one (25%) (P < 0.001).
Embryo selection based on Dana ranking increases the success of IVF treatments at least in oocyte donation programmes. The multicentre nature of the study supports its applicability at different clinics, standardizing the embryo development's interpretation. Dana's innovation is that the system increases its accuracy as the database grows.
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| ISSN: | 1472-6483 1472-6491 |