ISSN 0975-3583
 

Journal of Cardiovascular Disease Research



    Study of Role of Sonography and MRI in Diagnosing Ovarian Masses at a Tertiary Center


    Pandey Kumar Abhishek Rajan Harihar Prasad, Suresh Kumar Toppo, Nisha Rai
    JCDR. 2023: 2279-2285

    Abstract

    Ovarian masses are considered one of the common disorders in gynaecology. Ovarian masses pose a special dilemma to the gynaecologist because the differential diagnosis is difficult and complex. Causes of ovarian masses may be benign or malignant. Present study was aimed to study role of sonography & MRI in diagnosing ovarian masses at a tertiary center. Material and Methods: Present study was single-center, prospective, comparative study, conducted women, referred to radiology department with suspected ovarian masses diagnosed on ultrasound, underwent further MRI evaluation, followed by surgery & histopathological diagnosis was available. Results: In present study, among 42 participants, majority were from 30-49 years of age group (64.28 %), came with complaints of pain (66.67 %) & menstrual irregularity (57.14 %). Size of ovarian mass was 6-10 cm in majority (50 %) followed by 11-15 cm (30.95 %). According to final Histopathological diagnosis, majority of masses were benign (83.33 %) as compared to malignant lesions (16.67 %). Among benign lesions, common lesions were hemorrhagic cyst (16.67 %), dermoid (11.90 %), simple cyst (11.90 %), endometrioma (9.52 %), mucinous cystadenoma (7.14 %) & fibroma (7.14 %). While among malignant lesions, common lesions were mucinous cystadenoma (7.14 %), serous cystadenocarcinoma (4.76 %) & papillary serous cystadenoma (2.38 %). On comparison of USG diagnosis vs HPE diagnosis, we noted sensitivity (89.19 %), specificity (100 %), positive predictive value (100 %), negative predictive value (55.56 %) & accuracy (90.48 %) of USG in diagnosing ovarian masses. On comparison of MRI diagnosis vs HPE diagnosis, we noted sensitivity (97.56 %), specificity (100 %), positive predictive value (100 %), negative predictive value (50 %) & accuracy (97.62 %) of MRI in diagnosing ovarian masses. Conclusion: MRI is a superior diagnostic modality in establishing the diagnosis of ovarian masses, for lesions that are indeterminate on ultrasound.

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    Volume & Issue

    Volume 14 Issue 9

    Keywords