The Construction and Validation of a New Ovarian Malignancy Probability Score (OMPS) for Prediction of Ovarian Malignancy

AUTHORS

Maliheh Arab 1 , * , M Yaseri 2 , M Farzaneh 3 , A Moridi 3 , A Tehranian 4 , K Sheibani 3

1 Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2 Department of Epidemiology and Biostatistics School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

3 Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran

4 Arash Hospital. Tehran University of Medical Sciences, Tehran, Iran

How to Cite: Arab M, Yaseri M, Farzaneh M, Moridi A, Tehranian A, et al. The Construction and Validation of a New Ovarian Malignancy Probability Score (OMPS) for Prediction of Ovarian Malignancy, Int J Cancer Manag. 2010 ; 3(3):e80701.

ARTICLE INFORMATION

International Journal of Cancer Management: 3 (3); e80701
Published Online: September 30, 2010
Article Type: Research Article
Received: January 13, 2010
Accepted: May 21, 2010

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Abstract

Background: The best management for an ovarian mass is provided by appropriate prediction of malignancy. The aim of our study is to construct and validate a new Malignancy Probability Score based on four simple sonographic findings and age.

Methods: In a cross sectional study; histopathological files of 3303 ovarian mass patients and tertiary hospitals, have reviewed within 6 years (2000-2006). Pathology, age, sonographic findings including solid area, ascetic, size and bilateralism were recorded. Logistic multivariate regression analysis SPSS18 has used to create malignancy probability scoring model. Our ovarian Malignancy Probability Score (OMPS) has constructed based on 80% of samples in a logistic regression model and has validated using the remainder of the cases.

Results: Ovarian malignancy probability score (OMPS) has calculated as follow: age × 0.062 + Tumor size (cm) × 0.012+1.172(if the tumor is solid) + 1.289(if ascites is present) +0.758(if the tumor is bilateral) Sensitivity of OMPS in prediction of malignancy with cutoff value of 3.65 score number was 77.9% and its specificity was 72.9% with Area under Curve (AUC) of 83% in ROC curve.

Conclusion: OMPS is designed and tested in our research, to be proved as a simple and accurate clinical tool for ovarian malignancy prediction.

Keywords

Logistic model Ovarian mass Ovarian cancer Ultrasound Risk of malignancy

© 2010, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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