The accurate characterization of ovarian and other adnexal masses is essential for optimal patient management. At this time, O-RADS US is the only lexicon and classification system that encompasses all risk categories with their associated management schemes. Both systems have been stratified to reach the same risk categories and management strategies regardless of which is initially used. With O-RADS US working group consensus, guidelines for management in the different risk categories are proposed. The pattern approach relies on a subgroup of the most predictive descriptors in the lexicon based on a retrospective review of evidence prospectively obtained in the IOTA phase 1–3 prospective studies and other supporting studies that assist in differentiating management schemes in a variety of almost certainly benign lesions. This unique system represents a collaboration between the pattern-based approach commonly used in North America and the widely used, European-based, algorithmic-style International Ovarian Tumor Analysis (IOTA) Assessment of Different Neoplasias in the Adnexa model system, a risk prediction model that has undergone successful prospective and external validation.
For risk stratification, the O-RADS US system recommends six categories (O-RADS 0–5), incorporating the range of normal to high risk of malignancy.
It was developed by an international multidisciplinary committee sponsored by the American College of Radiology and applies the standardized reporting tool for US based on the 2018 published lexicon of the O-RADS US working group. The Ovarian-Adnexal Reporting and Data System (O-RADS) US risk stratification and management system is designed to provide consistent interpretations, to decrease or eliminate ambiguity in US reports resulting in a higher probability of accuracy in assigning risk of malignancy to ovarian and other adnexal masses, and to provide a management recommendation for each risk category. Sinai Hospital, University of Toronto, Toronto, Canada (W.L.W.) and Department of Medical Imaging and Department of Obstetrics and Gynecology, University of Toronto, Sunnybrook Research Institute, Toronto, Canada (P.G.). From the Department of Radiology and Radiological Sciences and Department of Obstetrics and Gynecology, Vanderbilt University College of Medicine, 1161 21st Ave S, #D3300, Nashville, Tenn 37232 (R.F.A.) Department of Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, Belgium (D.T.) Department of Radiology, University of California, San Francisco, San Francisco, Calif (L.M.S.) Department of Development and Regeneration, KU Leuven, Leuven, Belgium (W.F.) Department of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium (W.F.) Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Brookline, Mass (B.R.B.) Department of Radiology, NYU Langone Health, New York, NY (G.L.B.) Department of Obstetrics and Gynecology, Queen Charlotte’s and Chelsea Hospital, Imperial College London, London, England (T.B.) Department of Radiology, Mayo Clinic, Rochester, Minn (D.L.B.) Department of Radiology, Center for Fetal Diagnosis and Treatment, Children’s Hospital of Philadelphia, Philadelphia, Pa (B.G.C.) Department of Radiology, Brigham and Women’s Hospital, Boston, Mass (M.C.F.) Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY (S.R.G.) Department of Radiology, Johns Hopkins University, School of Medicine, Baltimore, Md (U.M.H.) Department of Radiology, Einstein Medical Center, Philadelphia, Pa (M.M.H.) Department of Radiology and Radiological Sciences, Carell Children’s Hospital at Vanderbilt, Nashville, Tenn (M.H.S.) Department of Radiology, McGill University Health Centre, Montreal, Canada (C.R.) Department of Obstetrics and Gynecology, University of Wisconsin, Madison, Wis (S.L.R.) Department of Obstetrics and Gynecology, University of Connecticut School of Medicine, Farmington, Conn (B.P.W.) Department of Obstetrics and Gynecology, Mt.
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Next Original Research Free Access Statements and Guidelines O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee
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