Discussion of the importance of ultrasound for the preoperative diagnosis of ovarian tumors (the main provisions of the consensus of leading international organizations, published in June 2021)

Author:

Chekalova M. A.1,Kedrova A. G.1ORCID,Cherkasov E. Yu.2,Kryazheva V. S.3,Greyan T. A.1

Affiliation:

1. Federal Research and Clinical Center for Specialized Medical Care and Medical Technologies, Federal Medical and Biological Agency of the Russian Federation

2. Central Clinic No. 2 of the Ministry of Internal Affairs of the Russian Federation

3. A.S. Loginov Moscow Clinical Scientific Center, Moscow Healthcare Department

Abstract

The aim of this work is to analyze the main provisions of consensus, leading international organizations to identify significant ultrasound signs of ovarian tumors at the stage of preoperative diagnosis. Considering the fact that malignant ovarian tumors do not always have specific signs and are accessible to imaging methods, therefore, the risk stratification model in the system of reports and data on ovaries and appendages (O-RADS) is a useful tool that helps classify the formation of appendages into higher risk categories.

Publisher

Publishing House ABV Press

Subject

Pharmacology (medical),Obstetrics and Gynecology,Radiology, Nuclear Medicine and imaging,Oncology,Surgery

Reference36 articles.

1. Ashrafyan L.A., Antonova I.B., Aleshikova O.I. et al. Prospects for early diagnosis of ovarian cancer. Vestnik RNTsRR = Bulletin of Russian Research Center of Radiology 2014;(4):1. (In Russ.)

2. Diagnosis and treatment of benign ovarian tumors for cancer prevention. Clinical guideline (treatment protocol). 2018. (In Russ.)

3. Karseladze A.I. Some problems in clinical morphology of epithelial ovarian tumors. Prakticheskaya onkologiya = Practical Oncology 2000;(4):14–8. (In Russ.)

4. Кaijser J., Bourne T., Valentin L. et al. Improving strategies for diagnosing ovarian cancer: A summary of the International Ovarian Tumor Analysis (IOTA) studies. Ultrasound Obstet Gynecol 2013;41(1):9–20. DOI: 10.1002/uog.12323

5. Meys E.M., Kaijser J., Kruitwagen R.F. et al. Subjective assessment versus ultrasound models to diagnose ovarian cancer: A systematic review and meta-analysis. Eur J Cancer 2016;58:17–29. DOI: 10.1016/j.ejca.2016.01.007

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