PROSPECTIVE STUDY ON EVALUATION OF OVARIAN MASS LESIONS WITH DIFFUSION WEIGHTED MRI-Reference-Cited by-同舟云学术

PROSPECTIVE STUDY ON EVALUATION OF OVARIAN MASS LESIONS WITH DIFFUSION WEIGHTED MRI

Published:2021-01-15 Issue: Volume: Page:56-57
ISSN:
Container-title:GLOBAL JOURNAL FOR RESEARCH ANALYSIS
language:en
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Author:

Agrawal Alka¹,Tripathi P.S.²,K Soorya³,Kujur Pankaj³,Bhandari Gaurav⁴

Affiliation:

1. Professor & HOD, Department of Radiodiagnosis, M.G.M Medical College & M.Y Hospital, Indore.

2. Associate Professor, Department of Radiodiagnosis, M.G.M Medical College & M.Y Hospital, Indore.

3. Third year PG resident, Department of Radiodiagnosis, M.G.M Medical College & M.Y Hospital, Indore.

4. Assistant Professor, M.G.M Medical College & M.Y Hospital, Indore.

Abstract

Background: The high mortality associated with ovarian cancer is due to delayed detection. Novel agents are being developed for more targeted therapy. Hence, a more accurate interpretation of the lesion is required. DW-MRI forms a promising tool in the same. Aims & Objectives: To assess the diagnostic potential of DW-MRI in the evaluation of ovarian mass lesions. Methods: 103 women with ovarian lesions were evaluated with DW-MRI. The characteristics were recorded, analysed and compared with histopathology reports wherever possible. Results: With a sensitivity of 93.94%, a specicity of 98.08% and accuracy of 96.47%, DW-MRI is a promising tool to be considered in the evaluation protocol of ovarian mass lesions, for a more accurate interpretation. Conclusion: With advancements like diffusion-weighted, in conventional MRI, the diagnostic performance has been improved and needs to be utilised in the evaluation of ovarian mass lesions

Publisher

World Wide Journals

Reference10 articles.

1. Momenimovahed Z, Tiznobaik A, Taheri S, Salehiniya H. (2019) Ovarian cancer in the world: epidemiology and risk factors. Int J Womens Health. 2019;11:287-299. doi:10.2147/IJWH.S197604

2. Surveillance, Epidemiology, and End Results Program. Cancer Stat Facts: Ovarian Cancer. National Cancer Institute. https://seer. cancer.gov/statfacts/html/ovary.html

3. Toussaint I, Thomassin-Naggara I, Perrot N, et al. (2011) Characterization of complex adnexal masses: value of adding perfusionand diffusion-weighted MR imaging to conventional MR imaging. Radiology 258:793–803

4. Adel M El-Wekil1, Mohammad S Abdullah1, Sara S El-Kholy2: (2019) The role of MRI in the differentiation between benign and malignant ovarian lesions

5. Li W, Chu C, Cui Y, Zhang P, Zhu M. (2012) Diffusion-weighted MRI: a useful technique to discriminate benign versus malignant ovarian surface epithelial tumors with solid and cystic components. Abdom Imaging. 2012 Oct;37(5):897-903. doi: 10.1007/s00261-011-9814-x. PMID: 22038329