Risk of Ovarian Malignancy Algorithm and Pelvic Mass Score for the prediction of malignant ovarian tumors: a prospective comparative study

Ali Mohamed A.; Sweed Mohamed S.; NasrElDin Eman A.; Ahmed Walaa E.; ElHawwary Gihan E.

doi:10.15557/jou.2024.0001

Journal of Ultrasonography (Feb 2024)

Risk of Ovarian Malignancy Algorithm and Pelvic Mass Score for the prediction of malignant ovarian tumors: a prospective comparative study

Ali Mohamed A.,
Sweed Mohamed S.,
NasrElDin Eman A.,
Ahmed Walaa E.,
ElHawwary Gihan E.

Affiliations

Ali Mohamed A.: Department of Obstetrics and Gynecology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
Sweed Mohamed S.: Department of Obstetrics and Gynecology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
NasrElDin Eman A.: Department of Radiodiagnosis, Faculty of Medicine, Helwan University, Cairo, Egypt
Ahmed Walaa E.: Department of Obstetrics and Gynecology, Faculty of Medicine, Helwan University, Cairo, Egypt
ElHawwary Gihan E.: Department of Obstetrics and Gynecology, Faculty of Medicine, Ain Shams University, Cairo, Egypt

DOI: https://doi.org/10.15557/jou.2024.0001
Journal volume & issue: Vol. 24, no. 96
pp. 46 – 46

Abstract

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Ovarian cancer is the seventh most common female cancer worldwide. Nevertheless, there is no available universal screening method for malignant ovarian masses. This study compares the value of the Risk of Ovarian Malignancy Algorithm (ROMA) and Pelvic Mass Score (PMS) scoring systems in the diagnosis of malignant ovarian masses.

Published in Journal of Ultrasonography

ISSN: 2084-8404 (Print); 2451-070X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Medicine: Medicine (General): Medical technology
Website: https://sciendo.com/pl/journal/JOU

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