<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>A correct diagnosis of any ovarian mass is essential to ensure that patients receive the right treatment. A number of scoring systems have been set up to make diagnosis easier. The aim of this study is to evaluate and compare the accuracy and limitations of three different diagnostic methods, IOTA Simple Rules, ADNEX Model, and RMI. In our prospective study, we investigated patients with ovarian pathology admitted for surgery to the Obstetrics and Gynaecology Clinic I, Târgu Mures, in 2022. All patients underwent vaginal ultrasound examination before surgery. The diagnostic scoring systems mentioned above were used for the clinical evaluation of the ovarian screenings, which were compared with the results of the histological specimens obtained during surgery. We applied the IOTA Simple Rules method to our patients, in 111 out of the total 127 cases (87.41%). The sensitivity of the method was 91.67% and the specificity was 89.66%. The ADNEX Model and RMI provided interpretable results in all cases. The first method had a sensitivity of 89.19% and a specificity of 86.67%, while the second one had a sensitivity of 75.68% and a specificity of 88.89%. All three of the tested methods are simple to use and have good efficacy. However, the results of RMI are strongly influenced by the serum CA-125 level, which makes the IOTA Simple Rules and the ADNEX Model more reliable.</p>
</abstract>

A correct diagnosis of any ovarian mass is essential to ensure that patients receive the right treatment. A number of scoring systems have been set up to make diagnosis easier. The aim of this study is to evaluate and compare the accuracy and limitations of three different diagnostic methods, IOTA Simple Rules, ADNEX Model, and RMI. In our prospective study, we investigated patients with ovarian pathology admitted for surgery to the Obstetrics and Gynaecology Clinic I, Târgu Mures, in 2022. All patients underwent vaginal ultrasound examination before surgery. The diagnostic scoring systems mentioned above were used for the clinical evaluation of the ovarian screenings, which were compared with the results of the histological specimens obtained during surgery. We applied the IOTA Simple Rules method to our patients, in 111 out of the total 127 cases (87.41%). The sensitivity of the method was 91.67% and the specificity was 89.66%. The ADNEX Model and RMI provided interpretable results in all cases. The first method had a sensitivity of 89.19% and a specificity of 86.67%, while the second one had a sensitivity of 75.68% and a specificity of 88.89%. All three of the tested methods are simple to use and have good efficacy. However, the results of RMI are strongly influenced by the serum CA-125 level, which makes the IOTA Simple Rules and the ADNEX Model more reliable.

The comparison of IOTA Simple Rules, ADNEX Model, and RMI prediction models used in the diagnosis of ovarian tumours

George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures

Bulletin of Medical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A correct diagnosis of any ovarian mass is essential to ensure that patients receive the right treatment. A number of scoring systems have been set up to make...

The comparison of IOTA Simple Rules, ADNEX Model, and RMI prediction models used in the diagnosis of ovarian tumours

Online veröffentlicht: 07. Juni 2024

Seitenbereich: 167 - 176

DOI: https://doi.org/10.2478/orvtudert-2022-0011

Schlüsselwörter
IOTA Simples Rules, ADNEX Model, RMI, ovarian cancer

© 2022 Tőkés Nikolett et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The comparison of IOTA Simple Rules, ADNEX Model, and RMI prediction models used in the diagnosis of ovarian tumours

Online veröffentlicht: 07. Juni 2024

Seitenbereich: 167 - 176

DOI: https://doi.org/10.2478/orvtudert-2022-0011

SchlüsselwörterIOTA Simples Rules, ADNEX Model, RMI, ovarian cancer

© 2022 Tőkés Nikolett et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
IOTA Simples Rules, ADNEX Model, RMI, ovarian cancer