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International Journal of Cancer Management
The Official Journal of Cancer Research Center (CRC), Shahid Beheshti University of Medical Sciences
e-ISSN 2538-497X
p-ISSN 2538-4422
The Construction and Validation of a New Ovarian Malignancy Probability Score (OMPS) for Prediction of Ovarian Malignancy
Authors
1Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2Department of Epidemiology and Biostatistics School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4Arash Hospital. Tehran University of Medical Sciences, Tehran, Iran
*Corresponding Author: Corresponding author: Maliheh Arab , Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran, Tel: +98-2188916037, E-mail: Email: [email protected]
Published online:Sep 30, 2010
Article type:Research Article
Received:Jan 13, 2010
Accepted:May 21, 2010
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. doi:
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.
Copyright
© 2010, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
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