Positive Predictive Value of Ultrasonography for Detection of Ovarian Masses Taking Magnetic Resonance Imaging as a Gold Standard

Authors

  • Naila Jabeen, Amjad Sattar, Marium Moula Bakhsh, Naureen Farhan, Rabeeya Qutub Uddin Siddiqui, Amber Noorani

DOI:

https://doi.org/10.53350/pjmhs2023171163

Abstract

Aim: To determine the efficacy of ultrasonography in the detection of ovarian masses considering MRI a Gold standard.
Study design: Prospective analytical cross-sectional study
Place and duration of study: Dow Institute of Radiology, Dow University of Health Sciences Karachi, Pakistan from 1st June 2018 to 30th November 2019.
Methodology: One hundred and forty eight ovarian cancer patients were enrolled.
Results: The mean age of the patient was 41.87±16.30 years. The majority of the patients were age ≥20 years (29.10%) and obese (33.1%). Malignant tumors were 56.1% (n=83) and 64.2% (n=95) respectively on ultrasound and magnetic resonance imaging. Ultrasound had a positive predictive value of 80%, sensitivity of 98.11%, and specificity of 86.32 % for the diagnosis of ovarian masses. Overall diagnostic accuracy of ultrasonography was 90.54%. There was an excellent agreement between the ultrasonography and magnetic resonance imaging (kappa=0.84, p-value <0.001) and area under the curve was 92.2%.
Conclusion: Ultrasonography has excellent diagnostic accuracy in the detection of ovarian masses.
Keywords: Ovarian mass/tumor, Ultrasonography, MRI, Positive predictive value, Benign, Malignant

Downloads

How to Cite

Naila Jabeen, Amjad Sattar, Marium Moula Bakhsh, Naureen Farhan, Rabeeya Qutub Uddin Siddiqui, Amber Noorani. (2023). Positive Predictive Value of Ultrasonography for Detection of Ovarian Masses Taking Magnetic Resonance Imaging as a Gold Standard. Pakistan Journal of Medical & Health Sciences, 17(01), 163. https://doi.org/10.53350/pjmhs2023171163

Issue

Vol. 17 No. 01 (2023): Pakistan Journal of Medical & Health Sciences

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open-access journal and all the published articles / items are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.