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

## TL;DR

This study develops a predictive model using fallopian tube anatomy to estimate pregnancy likelihood and outcomes after tubal reversal surgery, highlighting tubal length and age as key factors.

## Contribution

First to create a statistical learning model based on tubal anatomy to predict pregnancy and outcomes post-reversal surgery.

## Key findings

- Tubal length and age are primary predictors of pregnancy.
- Tubal length influences birth and ectopic pregnancy outcomes.
- Age primarily predicts miscarriage risk.

## Abstract

We conducted this study to determine whether fallopian tube anatomy can predict the likelihood of pregnancy and pregnancy outcomes after tubal sterilization reversal. We built a flexible, non-parametric, multivariate model via generalized additive models to assess the effects of the following tubal parameters observed during tubal reparative surgery: tubal lengths; differences in tubal segment location, and diameters at the anastomosis sites; and, fibrosis of the tubal muscularis. In this study population, age and tubal length - in that order - were the primary factors predicting the likelihood of pregnancy. For pregnancy outcomes, tubal length was the most influential predictor of birth and ectopic pregnancy, while age was the primary predictor of miscarriage. Segment location and diameters contributed slightly to the odds of miscarriage and ectopic pregnancy. Tubal muscularis fibrosis had a little apparent effect. This study is the first to show that a statistical learning predictive model based on fallopian tube anatomy can predict pregnancy and pregnancy outcome probabilities after tubal reversal surgery.