Differential ultrasound diagnosis of benign and malignant ovarian tumors: diagnostic models, algorithms, stratification systems, consensuses (1990

Differential ultrasound diagnosis of benign and malignant ovarian tumors: diagnostic models, algorithms, stratification systems, consensuses (1990–2023).

Published:2023-12-22 Issue:2 Volume: Page:34-61
ISSN:2408-9494
Container-title:Ultrasound & Functional Diagnostics
language:
Short-container-title:jour

Author:

Bulanov M. N.¹^ORCID,Chekalova M. A.²^ORCID,Mazurkevich M. V.³^ORCID,Vetsheva N. N.⁴^ORCID

Affiliation:

1. Regional Clinical Hospital; Yaroslav-the-Wise Novgorod State University

2. Federal Scientific Clinical Center for Specialized Medical Care and Medical Technologies, Federal Medical-Biological Agency (FMBA of Russia)

3. City Clinical Hospital No52 of Moscow Healthcare Department

4. Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of the Russian Federation

Abstract

The review presents the most common diagnostic models, algorithms and stratification systems developed for the purpose of optimal differential diagnosis of benign and malignant ovarian tumors from 1990 to the present. Four variants of the RMI 1–4 malignancy risk index with their comparative characteristics are described. A proprietary comprehensive ultrasound scoring scale for ovarian tumors is described. Algorithms for the integrated use of echography and tumor markers (CA-125, HE4, ROMA), including the Risk Ovarian Cancer computer system, are presented. All existing IOTA diagnostic models are described: Simple IOTA rules, Simple IOTA rules with quantitative calculation of the risk of malignancy, Logistic regression analysis IOTA LR1 & LR2, Easy IOTA descriptors, IOTA ADNEX. The main algorithms for the integrated use of IOTA models are presented. The principles of using the diagnostic stratification systems GI-RADS and O-RADS are outlined. Clinical examples of the use of diagnostic models are given. The review concludes by presenting the ESGO/ISUOG/IOTA/ESGE consensus on the preoperative diagnosis of ovarian tumors.

Publisher

Vidar, Ltd.

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

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