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Guerriero S, Pascual MA, Ajossa S, Rodriguez I, Zajicek M, Rolla M, Rams Llop N, Yulzari V, Bardin R, Buonomo F, Comparetto O, Perniciano M, Saba L, Mais V, Alcazar JL. Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program. Ultrasound Obstet Gynecol 2019; 54:262-269. [PMID: 30426587 DOI: 10.1002/uog.20176] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 11/05/2018] [Accepted: 11/06/2018] [Indexed: 06/09/2023]
Abstract
OBJECTIVE To assess the learning curves of trainees during a structured offline/hands-on training program for the ultrasonographic diagnosis of deep infiltrating endometriosis (DIE). METHODS Four trainees (all Ob/Gyn postgraduates with at least 5 years' experience in ultrasonography in obstetrics and gynecology, but with no experience of sonographic examination of DIE) participated in the study. They underwent a 2-week training program with a single trainer. Day 1 was devoted to theoretical issues and guided offline analysis of 10 three-dimensional ultrasound volumes. During the following days, four sessions of real-time sonographic examinations were performed in a DIE referral center ultrasound unit. In between these sessions, the trainees analyzed four datasets offline, each containing 25 volumes. At the end of each set, misinterpreted volumes were reassessed with the trainer. Presence or absence of DIE at surgery was considered the gold standard. The trainees' learning process was evaluated by learning-curve cumulative summation (LC-CUSUM) and the deviations of the trainees' level of performance at the control stage was assessed by CUSUM (standard CUSUM), for different locations of DIE. RESULTS The trainees reached competence after an average of 17 (range, 14-21) evaluations for bladder, 40 (range, 30-60) for rectosigmoid, 25 (range, 14-34) for forniceal, 44 (range, 25-66) for uterosacral ligament (USL) and 21 (range, 14-43) for rectovaginal septum (RVS) locations of DIE, and then kept the process under control, with error levels of less than 4.5% until the end of the test. The overall accuracy for each trainee in diagnosis of DIE at the different locations ranged from 0.91 to 0.98 for bladder DIE, from 0.80 to 0.94 for rectosigmoid DIE, from 0.90 to 0.94 for forniceal DIE, from 0.79 to 0.82 for USL DIE and from 0.89 to 0.98 for RVS DIE. CONCLUSIONS The suggested 2-week training program, based on a mixture of offline and live scanning sessions, is feasible and apparently provides effective training for the ultrasonographic diagnosis of DIE. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- S Guerriero
- Department of Obstetrics and Gynecology, University of Cagliari, Policlinico Universitario Duilio Casula, Monserrato, Cagliari, Italy
| | - M A Pascual
- Department of Obstetrics, Gynecology and Reproduction, Hospital Universitari Dexeus, Barcelona, Spain
| | - S Ajossa
- Department of Obstetrics and Gynecology, University of Cagliari, Policlinico Universitario Duilio Casula, Monserrato, Cagliari, Italy
| | - I Rodriguez
- Unidad Epidemiología y Estadística, Departamento de Obstetricia, Ginecología y Reproducción, Hospital Universitario Quirón Dexeus, Barcelona, Spain
| | - M Zajicek
- Obstetrics and Gynecology Ultrasound Unit at the Chaim Sheba Medical Center, Tel-Hashomer, Israel affiliated to Tel-Aviv University, Israel
| | - M Rolla
- Department of Surgical Sciences, Obstetrics and Gynecology Unit, University of Parma, Parma, Italy
| | - N Rams Llop
- Secció d'Ecografia Servei de Ginecologia i Obstetricia Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - V Yulzari
- Ob/Gyn Ultrasonic Imaging Unit, Sheba Medical Center, Tel-Hashomer, Israel
| | - R Bardin
- Hellen Schneider Hospital for Women, Rabin Medical Center, Petach Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - F Buonomo
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - O Comparetto
- Department of Surgical Sciences, Obstetrics and Gynecology Unit, University of Parma, Parma, Italy
| | - M Perniciano
- Department of Obstetrics and Gynecology, University of Cagliari, Policlinico Universitario Duilio Casula, Monserrato, Cagliari, Italy
| | - L Saba
- Department of Radiology, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
| | - V Mais
- Department of Obstetrics and Gynecology, University of Cagliari, Policlinico Universitario Duilio Casula, Monserrato, Cagliari, Italy
| | - J L Alcazar
- Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, School of Medicine, University of Navarra, Pamplona, Spain
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Hidalgo Mora J, Rams Llop N, Ros Bernal F, Alcázar Zambrano J. Sistemas de clasificación y predicción de riesgo de malignidad de las lesiones anexiales. Clínica e Investigación en Ginecología y Obstetricia 2018. [DOI: 10.1016/j.gine.2017.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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