Retrospective Study
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Sep 28, 2022; 14(9): 319-328
Published online Sep 28, 2022. doi: 10.4329/wjr.v14.i9.319
Reliability of ultrasound ovarian-adnexal reporting and data system amongst less experienced readers before and after training
Prayash Katlariwala, Mitchell P Wilson, Yeli Pi, Baljot S Chahal, Roger Croutze, Deelan Patel, Vimal Patel, Gavin Low
Prayash Katlariwala, Mitchell P Wilson, Yeli Pi, Baljot S Chahal, Roger Croutze, Deelan Patel, Vimal Patel, Gavin Low, Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton T6G 2B7, AB, Canada
Author contributions: All authors contributed equally to the paper.
Supported by RSNA Research & Education Foundation Medical Student Grant #RMS2020.
Institutional review board statement: Institutional Health Research Ethics Board (HREB) approval was acquired from the University of Alberta prior to the study (Pro00097690).
Informed consent statement: Institutional ethics approval was obtained for this study which also waived the requirement for the informed consent. Please see institutional HREB approval document for details.
Conflict-of-interest statement: All authors have no conflicts of interest.
Data sharing statement: No additional data available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Prayash Katlariwala, BSc, Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 Street NW, Edmonton T6G 2B7, AB, Canada. prayashvk@gmail.com
Received: March 12, 2022
Peer-review started: March 12, 2022
First decision: May 31, 2022
Revised: June 14, 2022
Accepted: September 13, 2022
Article in press: September 13, 2022
Published online: September 28, 2022
Core Tip

Core Tip: This study supports the applied utilization of the ovarian-adnexal reporting and data system (O-RADS) ultrasound risk stratification tool by less experienced readers in North America. KEY RESULTS: The O-RADS ultrasound risk stratification requires validation in less experienced North American readers; Excellent specificities (85%-100%), area under the curve values (0.87-0.98) and very good pairwise reliability can be achieved by trainees in North America regardless of formal pre-test training; Less experienced readers may be subject to down-grade misclassification of potentially malignant lesions and specific training about typical dermoid features and smooth vs irregular margins of ovarian lesions may help improve sensitivity.