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Updated: Sep 4, 2025

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions
Published on: March 3, 2023
The Ovarian/Adnexal Reporting and Data System for Ultrasound: From Standardized Terminology to Optimal Risk
Catherine H Phillips1, Yang Guo2, Loretta M Strachowski3
1Department of Radiology and Radiological Sciences, 612495Vanderbilt University Medical Center, Nashville, TN, USA.
The American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) provides a standardized ultrasound framework for characterizing adnexal masses. Validation studies confirm its excellent accuracy and inter-reader agreement for detecting ovarian cancer.
Area of Science:
- Radiology
- Gynecologic Imaging
- Ultrasound Diagnostics
Background:
- The American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) was developed to standardize the characterization and management of ovarian and adnexal pathology using ultrasound (US).
- Harmonizing reporting and patient management strategies is crucial for improving outcomes in gynecologic imaging.
Purpose of the Study:
- To evaluate the diagnostic accuracy and inter-reader agreement of the O-RADS US lexicon and risk assessment tool.
- To assess the performance of O-RADS US in detecting ovarian cancer and stratifying malignancy risk.
Main Methods:
- Review of multiple validation studies on the O-RADS US system.
- Analysis of diagnostic accuracy, with a focus on O-RADS 4 as a cut-off for ovarian cancer detection.
- Assessment of inter-reader agreement across different radiologist experience levels and comparison with other established systems (GIRADS, ADNEX, IOTA).
Main Results:
- O-RADS US demonstrates excellent diagnostic accuracy, with O-RADS 4 often serving as the optimal threshold for identifying ovarian cancer.
- High levels of inter-reader agreement are consistently observed, irrespective of radiologist training or experience.
- The O-RADS US risk stratification system performs within expected malignancy risk ranges per category, correlating with system descriptors.
Conclusions:
- The O-RADS US lexicon and risk assessment tool provide a reliable and reproducible framework for evaluating adnexal masses.
- O-RADS US shows comparable or superior inter-reader agreement to other established gynecologic imaging reporting systems.
- Future research will focus on refining O-RADS US terminology and risk categories based on accumulated validation data.
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