title: Algorithm to predict assisted reproductive technology pregnancy outcome reveals minimal embryo synergy.
abstract: A mathematical model was developed to calculate the implantation probability for individual embryos based on the pregnancy outcome of in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cases with multiple embryos transferred. This model was used to calculate implantation probabilities of embryos of 31 morphological types using the outcome of 1,200 IVF/ICSI cases. The algorithm was validated by comparing the calculated pregnancy probability and multiple pregnancy probability with the actual outcome of 281 separate IVF/ICSI cases. Finally, an estimation of embryo synergy was calculated.
authors.affiliation: Baylor Assisted Reproductive Technology Program,Baylor College of Medicine, Houston, Texas.
authors.forename: Sergey P
authors.initials: SP
authors.lastname: Torsky
authors.forename: Paula
authors.initials: P
authors.lastname: Amato
authors.forename: Pauline L
authors.initials: PL
authors.lastname: Cisneros
authors.forename: H
authors.initials: H
authors.lastname: Sangi-Haghpeykar
authors.forename: Elena V
authors.initials: EV
authors.lastname: Trukhacheva
authors.forename: Sandra A
authors.initials: SA
authors.lastname: Carson
mesh_terms: D000465:Algorithms; D010064:Embryo Implantation; D004624:Embryo Transfer / Q000706:statistics & numerical data*; D005260:Female; D005307:Fertilization in Vitro / Q000706:statistics & numerical data; D006801:Humans; D015233:Models, Statistical; D011237:Predictive Value of Tests; D011247:Pregnancy; D011256:Pregnancy Outcome / Q000453:epidemiology*; D011272:Pregnancy, Multiple / Q000706:statistics & numerical data*; D020554:Sperm Injections, Intracytoplasmic / Q000706:statistics & numerical data