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We conducted this study to determine whether fallopian tube anatomy canpredict the likelihood of pregnancy and pregnancy outcomes after tubalsterilization reversal. We built a flexible, non-parametric, multivariate modelvia generalized additive models to assess the effects of the following tubalparameters observed during tubal reparative surgery: tubal lengths; differencesin tubal segment location, and diameters at the anastomosis sites; and,fibrosis of the tubal muscularis. In this study population, age and tuballength - in that order - were the primary factors predicting the likelihood ofpregnancy. For pregnancy outcomes, tubal length was the most influentialpredictor of birth and ectopic pregnancy, while age was the primary predictorof miscarriage. Segment location and diameters contributed slightly to the oddsof miscarriage and ectopic pregnancy. Tubal muscularis fibrosis had a littleapparent effect. This study is the first to show that a statistical learningpredictive model based on fallopian tube anatomy can predict pregnancy andpregnancy outcome probabilities after tubal reversal surgery.

Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery