Introduction and hypothesisThe objective was to identify the best parameter (pubis-cervix measurement, pubis-uterine fundus measurement or pubis-pouch of Douglas measurement) on transperineal ultrasound, based on the difference between measurements taken at rest and with the Valsalva maneuver, for presurgical differential diagnosis between uterine prolapse (UP) and cervical elongation (CE) without UP. Methods A prospective observational study of 60 consecutively recruited patients who underwent corrective surgery of the middle compartment (UP or CE without UP). A transperineal ultrasound was performed, and the descent of the pelvic organ was measured in relation to the posteroinferior margin of the pubis in the midsagittal plane, referencing the uterine fundus, pouch of Douglas and the cervix at rest and with the Valsalva test. Results Receiver operating characteristic (ROC) curves were constructed for the three evaluated measures, based on the difference between rest and Valsalva, for the diagnosis of UP. For the pubis-cervix distance, an area under the curve (AUC) of 0.59 was obtained; for the pubis-uterine fundus distance, the AUC was 0.81; and for the pubis-pouch of Douglas distance, the AUC was 0.69. Based on the best AUC (the difference in the pubis-uterine fundus distance at rest and with the Valsalva maneuver), a cut-off point of 15 mm was established for the diagnosis of UP (sensitivity: 75%; specificity: 95%; positive predictive value: 86%; and negative predictive value: 89%). Conclusion A difference of ≥15 mm in the pubis-uterine fundus distance at rest and with the Valsalva maneuver is useful for differentiating UP from CE without UP by ultrasound.

We want to describe a model that allows the use of transperineal ultrasound to define the probability of experiencing uterine prolapse (UP). This was a prospective observational study involving 107 patients with UP or cervical elongation (CE) without UP. The ultrasound study was performed using transperineal ultrasound and evaluated the differences in the pubis–uterine fundus distance at rest and with the Valsalva maneuver. We generated different multivariate binary logistic regression models using nonautomated methods to predict UP, including the difference in the pubis–uterine fundus distance at rest and with the Valsalva maneuver. The parameters were added progressively according to their simplicity of use and their predictive capacity for identifying UP. We used two binary logistic regression models to predict UP. Model 1 was based on the difference in the pubis–uterine fundus distance at rest and with the Valsalva maneuver and the age of the patient [AUC: 0.967 (95% CI, 0.939–0.995; p < 0.0005)]. Model 2 used the difference in the pubis–uterine fundus distance at rest and with the Valsalva maneuver, age, avulsion and ballooning (AUC: 0.971 (95% CI, 0.945–0.997; p < 0.0005)). In conclusion, the model based on the difference in the pubis–uterine fundus distance at rest and with the Valsalva maneuver and the age of the patient could predict 96.7% of patients with UP.