A new standard system for ultrasound imaging of ovarian masses for predicting the risk of tumor malignancy


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Abstract

The paper provides an overview of a new international Ovarian-Adnexal Imaging-Reporting Data System (ORADS) that ensures a uniform diagnostic platform, on which both clinicians and imaging diagnosticians can work. This unique system is a combination of the lexicon of international ovarian tumor analysis (IOTA) for evaluating various neoplasms and the incorporated IOTA-Adnex model for predicting the risk of malignancy, which has successfully undergone prospective and external validation. The paper presents the uniform lexicon for ultrasound data description of ovarian masses and its interpretation, as well as their categorization by the risk of ORADS malignancy. The task of this classification is to improve the quality of ultrasound examination and the early diagnosis of ovarian tumors, to optimize the work of a gynecologist/oncologist in cases of suspected ovarian malignancies, and to make better the clinical management and preoperative sorting of patients. Conclusion. The earliest possible clinical introduction of this classification is an urgent task for physicians of all specialties who are included in the algorithm of prevention, diagnosis, and treatment in obstetrics and gynecology.

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About the authors

Veronika Ye. Gazhonova

Central State Medical Academy, Presidential Administration of the Russian Federation

Email: vx969@yandex.ru
Doctor of Medical Sciences, professor, professor of the Department of Radiation Diagnostics and Radiation Therapy; Chief of Radiology, United hospital and polyclinic, Administrative Department of the President of the Russian Federation.

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