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      Comparison of International Ovarian Tumor Analysis Simple Rules with Risk of Malignancy Index for Preoperative Differentiation of Benign and Malignant Adnexal Masses

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          ABSTRACT

          Introduction

          Precise risk assessment of adnexal masses preoperatively is important for early diagnosis and better prognosis of ovarian malignancy. Although, there are many models for the prediction of ovarian malignancy, risk of malignancy index-1 (RMI-1) and International Ovarian Tumor Analysis-Simple Rules (IOTA-SR) are the most used. The aim of our study was to compare the diagnostic accuracy of IOTA-SR with RMI-1 for preoperative differentiation of benign and malignant adnexal masses.

          Materials and methods

          A total of 121 women with adnexal masses, planned for surgery were enrolled in the study. Serum CA-125 was done, and an ultrasound examination was performed at the time of preoperative assessment by consultants. RMI-1 score of more than 200 was the cut-off value used to denote malignancy. IOTA-SR was applied to find the nature of the mass. Based on the histopathology report the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The diagnostic accuracy of RMI-1 and IOTA-SR were compared.

          Results

          The study included 121 adnexal masses, out of which 110 (90.9%) were benign, 8 (6.6%) were malignant and 3 (2.5%) were borderline ovarian tumors. About 22.3% of the cases were found to be inconclusive by IOTA-SR. Sensitivity, specificity, PPV, and NPV of RMI-1 were 63.6, 100, 100, and 96.4%, respectively, whereas that of IOTA-SR was 100, 96.4, 73.3, and 100%, respectively. The diagnostic accuracy of IOTA-SR was better than RMI-1 (AUC = 0.98 vs 0.87).

          Conclusion

          The model, IOTA-SR, for the prediction of ovarian malignancy, has better diagnostic accuracy and higher sensitivity when compared to RMI-1 in preoperative discrimination of benign and malignant adnexal mass.

          How to cite this article

          Manodarshini M, Pallavee P, Samal R. Comparison of International Ovarian Tumor Analysis Simple Rules with Risk of Malignancy Index for Preoperative Differentiation of Benign and Malignant Adnexal Masses. J South Asian Feder Obst Gynae 2023;15(3):321–325.

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          Most cited references13

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          Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group.

          Accurate methods to preoperatively characterize adnexal tumors are pivotal for optimal patient management. A recent metaanalysis concluded that the International Ovarian Tumor Analysis algorithms such as the Simple Rules are the best approaches to preoperatively classify adnexal masses as benign or malignant.
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            Subjective assessment versus ultrasound models to diagnose ovarian cancer: A systematic review and meta-analysis.

            Many national guidelines concerning the management of ovarian cancer currently advocate the risk of malignancy index (RMI) to characterise ovarian pathology. However, other methods, such as subjective assessment, International Ovarian Tumour Analysis (IOTA) simple ultrasound-based rules (simple rules) and IOTA logistic regression model 2 (LR2) seem to be superior to the RMI. Our objective was to compare the diagnostic accuracy of subjective assessment, simple rules, LR2 and RMI for differentiating benign from malignant adnexal masses prior to surgery.
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              A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer

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                Author and article information

                Journal
                JSAFOG
                Journal of South Asian Federation of Obstetrics and Gynaecology
                JSAFOG
                Jaypee Brothers Medical Publishers
                0974-8938
                0975-1920
                May-June 2023
                : 15
                : 3
                : 321-325
                Affiliations
                [1–3 ]Department of Obstetrics and Gynecology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth University, Puducherry, India
                Author notes
                Pallavee P, Department of Obstetrics and Gynecology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth University, Puducherry, India, Phone: +91 9489693270, e-mail: drppallavee@ 123456gmail.com
                Article
                10.5005/jp-journals-10006-2258
                16c159f9-b41e-4aaf-b7c6-db71fe09788f
                Copyright © 2023; The Author(s).

                © The Author(s). 2023 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 09 December 2022
                : 05 January 2023
                : 31 July 2023
                Categories
                ORIGINAL ARTICLE
                Custom metadata
                jsafog-15-321.pdf

                Obstetrics & Gynecology
                Ultrasonography,International Ovarian Tumor Analysis,Adnexal masses,Risk of malignancy index

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