A prospective study on the predictive value of normal sperm morphology as evaluated by computer (IVOS)

Area of Science:

• Reproductive Medicine
• Andrology
• In Vitro Fertilization

Background:

• Assessing sperm parameters is crucial for predicting in vitro fertilization (IVF) success.
• Computer-assisted semen analysis offers objective morphological evaluation.
• Predicting fertilization outcomes remains a challenge in assisted reproductive technology (ART).

Purpose of the Study:

• To prospectively evaluate the ability of the IVOS (Hamilton Thorne Research) system to predict in vitro fertilization (IVF).
• To compare computerized sperm morphology analysis with manual methods.
• To identify key predictors of fertilization in ART patients.

Main Methods:

• Prospective study involving 80 patients undergoing IVF-GIFT.
• Semen samples analyzed manually and by the IVOS system for morphology, concentration, motility, and progression.
• Logistic regression analysis used to determine predictors of fertilization.

Main Results:

• Both manual and IVOS sperm morphology assessments predicted fertilization.
• IVOS-evaluated sperm morphology was a significant predictor in patients with <10 x 10^6 motile spermatozoa/mL post-swim-up.
• Higher oocyte yield improved fertilization chances, especially in groups with lower sperm morphology scores (45.6% vs. 85.2% fertilization rates).

Conclusions:

• IVOS-assisted sperm morphology and oocyte number are important predictors of fertilization in specific patient groups.
• The IVOS system can help identify patients with a poor prognosis for fertilization.
• Computerized analysis aids in optimizing IVF treatment strategies.