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Is It Possible to Diagnose Surgical Uterine Prolapse With Transperineal Ultrasound? Multicenter Validation of Diagnostic Software.

Authors :
García‐Mejido, José Antonio
Martín‐Martinez, Alicia
González‐Diaz, Enrique
Núñez‐Matas, María José
Fernández‐Palacín, Ana
Carballo‐Rastrilla, Sonia
Fernández‐Fernández, Camino
García‐Jimenez, Rocío
Sainz‐Bueno, José Antonio
Source :
Journal of Ultrasound in Medicine; Nov2023, Vol. 42 Issue 11, p2673-2681, 9p
Publication Year :
2023

Abstract

Objectives: To validate an ultrasound software that uses transperineal ultrasound to diagnose uterine prolapse (UP). Methods: Multicenter, observational and prospective study with 155 patients that had indications for surgical intervention for dysfunctional pelvic floor pathology. Each patient underwent an examination with Pozzi tenaculum forceps was performed in the operating room with the patient anesthetized, followed by surgical correction of stages II–IV UP. Transperineal ultrasound was used to assess the difference in the pubis–uterine fundus measurement. With a multivariate logistic regression binary model (with the measurement ultrasound at rest, the Valsalva maneuver and age) using nonautomated methods to predict UP. With the purpose of evaluating the model, a table with coordinates of the receiver operating characteristic (ROC) curve, after which sensitivity and specificity were assessed. Results: A total of 153 patients were included (73 with a diagnosis of surgical UP). It was obtained from the AUC (0.89) of the probabilities predicted by the model (95% confidence interval, 0.84–0.95; P <.0005). Based on the ROC curve for the model, obtaining a sensitivity of 91.8% and a specificity of 72.7%, values that were superior to those for the clinical exam for surgical UP (sensitivity: 80.8%; specificity: 71.3%). Conclusions: We validated software that uses transperineal ultrasound of the pelvic floor and patient age to generate a more reliable diagnosis of surgical UP than that obtained from clinical examinations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02784297
Volume :
42
Issue :
11
Database :
Complementary Index
Journal :
Journal of Ultrasound in Medicine
Publication Type :
Academic Journal
Accession number :
173014606
Full Text :
https://doi.org/10.1002/jum.16303