Algorithm to predict assisted reproductive technology pregnancy outcome reveals minimal embryo synergy

Sergey P Torsky; Paula Amato; Pauline L Cisneros; H Sangi-Haghpeykar; Elena V Trukhacheva; Sandra A Carson

doi:10.1016/j.fertnstert.2004.10.028

Algorithm to predict assisted reproductive technology pregnancy outcome reveals minimal embryo synergy

Fertil Steril. 2005 Mar;83(3):782-4. doi: 10.1016/j.fertnstert.2004.10.028.

Authors

Sergey P Torsky¹, Paula Amato, Pauline L Cisneros, H Sangi-Haghpeykar, Elena V Trukhacheva, Sandra A Carson

Affiliation

¹ Baylor Assisted Reproductive Technology Program,Baylor College of Medicine, Houston, Texas.

PMID: 15749519
DOI: 10.1016/j.fertnstert.2004.10.028

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.

MeSH terms

Algorithms*
Embryo Implantation
Embryo Transfer / statistics & numerical data*
Female
Fertilization in Vitro / statistics & numerical data
Humans
Models, Statistical*
Predictive Value of Tests
Pregnancy
Pregnancy Outcome / epidemiology*
Pregnancy, Multiple / statistics & numerical data*
Sperm Injections, Intracytoplasmic / statistics & numerical data