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The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees

PURPOSE: This study aimed to evaluate the learning curve and explore the difficult points of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification system. METHODS: One hundred adnexal masses (AMs) were randomly selected for five tests as training data. Two experienced...

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Autores principales: Zhou, Shan, Guo, Yuyang, Wen, Lieming, Zhao, Baihua, Liu, Minghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Ultrasound in Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942735/
https://www.ncbi.nlm.nih.gov/pubmed/34923802
http://dx.doi.org/10.14366/usg.21158
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author Zhou, Shan
Guo, Yuyang
Wen, Lieming
Zhao, Baihua
Liu, Minghui
author_facet Zhou, Shan
Guo, Yuyang
Wen, Lieming
Zhao, Baihua
Liu, Minghui
author_sort Zhou, Shan
collection PubMed
description PURPOSE: This study aimed to evaluate the learning curve and explore the difficult points of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification system. METHODS: One hundred adnexal masses (AMs) were randomly selected for five tests as training data. Two experienced trainers had an inter-rater agreement of 0.95 for the O-RADS scores. Fifty-four trainees (26 level I practitioners [group 1], 17 level II practitioners [group 2], and 11 experienced level II practitioners [group 3]) attended the training. Every trainee received assessment and feedback after 20 scored cases. The outcomes of the five tests were compared among the three groups using repeated-measurements analysis of variance. RESULTS: Of the 100 AMs, 52 were pathologically benign and 48 were malignant; the O-RADS scores were 2, 3, 4, and 5 in 22, 11, 48, and 19 AMs, respectively. The between-subjects effects test showed no significant differences between groups 1, 2, and 3 for the five tests (P=0.501). For each group, the differences among the five tests were significant (P<0.001, P=0.006, and P=0.044 for groups 1, 2, and 3, respectively). Test 2 was the worst. In 23 cases, more than 40% of trainees gave incorrect answers, which mainly related to classic benign lesions, the color flow score, and solid-appearing masses. CONCLUSION: After training, junior doctors at different levels can reach a coincident O-RADS ultrasound risk stratification. The difficulties primarily related to subjective judgments of classic benign lesions, the color flow score, and solid-appearing masses. More experience is needed to improve the applicability of the system.
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spelling pubmed-89427352022-04-01 The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees Zhou, Shan Guo, Yuyang Wen, Lieming Zhao, Baihua Liu, Minghui Ultrasonography Original Article PURPOSE: This study aimed to evaluate the learning curve and explore the difficult points of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification system. METHODS: One hundred adnexal masses (AMs) were randomly selected for five tests as training data. Two experienced trainers had an inter-rater agreement of 0.95 for the O-RADS scores. Fifty-four trainees (26 level I practitioners [group 1], 17 level II practitioners [group 2], and 11 experienced level II practitioners [group 3]) attended the training. Every trainee received assessment and feedback after 20 scored cases. The outcomes of the five tests were compared among the three groups using repeated-measurements analysis of variance. RESULTS: Of the 100 AMs, 52 were pathologically benign and 48 were malignant; the O-RADS scores were 2, 3, 4, and 5 in 22, 11, 48, and 19 AMs, respectively. The between-subjects effects test showed no significant differences between groups 1, 2, and 3 for the five tests (P=0.501). For each group, the differences among the five tests were significant (P<0.001, P=0.006, and P=0.044 for groups 1, 2, and 3, respectively). Test 2 was the worst. In 23 cases, more than 40% of trainees gave incorrect answers, which mainly related to classic benign lesions, the color flow score, and solid-appearing masses. CONCLUSION: After training, junior doctors at different levels can reach a coincident O-RADS ultrasound risk stratification. The difficulties primarily related to subjective judgments of classic benign lesions, the color flow score, and solid-appearing masses. More experience is needed to improve the applicability of the system. Korean Society of Ultrasound in Medicine 2022-04 2021-11-01 /pmc/articles/PMC8942735/ /pubmed/34923802 http://dx.doi.org/10.14366/usg.21158 Text en Copyright © 2022 Korean Society of Ultrasound in Medicine (KSUM) https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Zhou, Shan
Guo, Yuyang
Wen, Lieming
Zhao, Baihua
Liu, Minghui
The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees
title The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees
title_full The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees
title_fullStr The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees
title_full_unstemmed The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees
title_short The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees
title_sort learning curve and difficult points of the o-rads ultrasound risk stratification system in 54 trainees
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942735/
https://www.ncbi.nlm.nih.gov/pubmed/34923802
http://dx.doi.org/10.14366/usg.21158
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