Research Journal of Medical Sciences
ISSN: Online 1993-6095ISSN: Print 1815-9346
Abstract
Ovarian lesions range from benign cysts to malignant neoplasms, making accurate diagnosis essential for appropriate management. While ultrasound is the first‐line imaging tool, MRI has gained prominence for its superior soft‐tissue contrast, multi‐planar capability and absence of radiation, particularly beneficial in complex cases. Ovarian cancer, one of the most common cancers in women, has a high mortality rate due to often late diagnosis. Therefore, MRI’s potential role in distinguishing benign from malignant ovarian lesions warrants detailed investigation. This descriptive study was conducted at tertiary care centre from January 2024 to june 2024, Fifty female patients aged 18 years and above, with ovarian lesions detected by clinical examination or ultrasound, underwent MRI evaluation. The MRI protocol included T1‐weighted, T2‐weighted, diffusion‐weighted imaging (DWI) and contrast‐enhanced sequences. MRI findings were analyzed for lesion type, size, septations and enhancement patterns and were compared to histopathological results. Diagnostic accuracy metrics, including sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV), were calculated. Participants primarily ranged from 31‐40 years, multiparous and premenopausal. MRI identified 44% cystic, 24% solid and 32% complex lesions, with the majority (60%) measuring 5‐10 cm. Contrast enhancement was seen in 52% of lesions, with malignant lesions commonly showing solid and enhancing features. MRI findings showed an 88% concordance with histopathology, with benign lesions showing higher diagnostic accuracy. MRI demonstrated a sensitivity of 83%, specificity of 91%, PPV of 87%, NPV of 86% and an overall accuracy of 88%. MRI is a reliable tool for characterizing ovarian lesions, particularly in differentiating between benign and malignant cases. With its high specificity and accuracy, MRI can complement ultrasound in complex ovarian cases, helping refine surgical decisions and patient management.
How to cite this article:
C. Sylviya, Sathish Babu and Assvath . Role of MRI Imaging in Evaluation of Ovarian Lesions: A Descriptive Study.
DOI: https://doi.org/10.36478/10.36478/makrjms.2024.12.361.366
URL: https://www.makhillpublications.co/view-article/1815-9346/10.36478/makrjms.2024.12.361.366