Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program

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 obstetri...

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Autores: Guerriero, S, Pascual, MA, Ajossa, S, Rodriguez, I, Zajicek, M, Rolla, M, Llop, NR, Yulzari, V, Bardin, R, Buonomo, F, Comparetto, O, Perniciano, M, Saba, L, Mais, V, Alcazar, JL
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
Repositorio:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
OAI Identifier:oai:iibsantpau.fundanetsuite.com:p2528
Acceso en línea:https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2528
Access Level:acceso abierto
Palabra clave:deep infiltrating endometriosis
LC-CUSUM
learning curve
transvaginal ultrasound
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spelling Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training programGuerriero, SPascual, MAAjossa, SRodriguez, IZajicek, MRolla, MLlop, NRYulzari, VBardin, RBuonomo, FComparetto, OPerniciano, MSaba, LMais, VAlcazar, JLdeep infiltrating endometriosisLC-CUSUMlearning curvetransvaginal ultrasoundObjective 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 (c) 2018 ISUOG. Published by John Wiley & Sons Ltd.WILEY2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2528ULTRASOUND IN OBSTETRICS & GYNECOLOGYISSN: 09607692ISSNe: 14690705reponame:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pauinstname:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)Inglésinfo:eu-repo/semantics/openAccessoai:iibsantpau.fundanetsuite.com:p25282026-06-14T12:41:47Z
dc.title.none.fl_str_mv Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
title Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
spellingShingle Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
Guerriero, S
deep infiltrating endometriosis
LC-CUSUM
learning curve
transvaginal ultrasound
title_short Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
title_full Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
title_fullStr Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
title_full_unstemmed Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
title_sort Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program
dc.creator.none.fl_str_mv Guerriero, S
Pascual, MA
Ajossa, S
Rodriguez, I
Zajicek, M
Rolla, M
Llop, NR
Yulzari, V
Bardin, R
Buonomo, F
Comparetto, O
Perniciano, M
Saba, L
Mais, V
Alcazar, JL
author Guerriero, S
author_facet Guerriero, S
Pascual, MA
Ajossa, S
Rodriguez, I
Zajicek, M
Rolla, M
Llop, NR
Yulzari, V
Bardin, R
Buonomo, F
Comparetto, O
Perniciano, M
Saba, L
Mais, V
Alcazar, JL
author_role author
author2 Pascual, MA
Ajossa, S
Rodriguez, I
Zajicek, M
Rolla, M
Llop, NR
Yulzari, V
Bardin, R
Buonomo, F
Comparetto, O
Perniciano, M
Saba, L
Mais, V
Alcazar, JL
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv deep infiltrating endometriosis
LC-CUSUM
learning curve
transvaginal ultrasound
topic deep infiltrating endometriosis
LC-CUSUM
learning curve
transvaginal ultrasound
description 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 (c) 2018 ISUOG. Published by John Wiley & Sons Ltd.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2528
url https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2528
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv WILEY
publisher.none.fl_str_mv WILEY
dc.source.none.fl_str_mv ULTRASOUND IN OBSTETRICS & GYNECOLOGY
ISSN: 09607692
ISSNe: 14690705
reponame:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
instname_str Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
reponame_str r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
collection r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
repository.name.fl_str_mv
repository.mail.fl_str_mv
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