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

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)782-784
Number of pages3
JournalFertility and sterility
Volume83
Issue number3
DOIs
StatePublished - Mar 2005
Externally publishedYes

ASJC Scopus subject areas

  • Reproductive Medicine
  • Obstetrics and Gynecology

Fingerprint

Dive into the research topics of 'Algorithm to predict assisted reproductive technology pregnancy outcome reveals minimal embryo synergy'. Together they form a unique fingerprint.

Cite this