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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 3, Issue 2, Part C (2017)

Multimodal approach to predict ovarian malignancy prior to laparoscopy

Multimodal approach to predict ovarian malignancy prior to laparoscopy

Author(s)
Dr. Juhi Bhatti, Dr. Shriraj Katakdhond, Dr. Meenal Patvekar, Dr. Bindiya Dhingra and Dr. Nisha Solanki
Abstract
Objective: To assess the performance of Ca-125, transvaginal sonography and RMI in prediction of ovarian cancer.
Methods: This is a prospective study of 60 women conducted at Dr. D.Y Patil Medical College and Hospital, Pimpri. Patients underwent Serum Ca-125 level, transvaginal sonography and risk of malignancy index (RMI) was calculated as per formula devised by Jacobs et al into high risk, moderate risk and low risk.
Results: The mean age of patients detected as malignant was 49.33 years. Using multimodal approach, achieved sensitivity of 100%, 33.33% and 66.67% and specificity of 52.94%, 58.82% and 94.12% in low, moderate and high risk group as per RMI categorization.
Conclusion: Multimodal approach using Ca-125, TVS and RMI calculation helps in predicting women with ovarian cancer prior to laparoscopy or laparotomy. The methodology is simple and can be used in gynecology clinics and less-specialised centres.
Pages: 149-153  |  1137 Views  94 Downloads
How to cite this article:
Dr. Juhi Bhatti, Dr. Shriraj Katakdhond, Dr. Meenal Patvekar, Dr. Bindiya Dhingra, Dr. Nisha Solanki. Multimodal approach to predict ovarian malignancy prior to laparoscopy. Int J Appl Res 2017;3(2):149-153.
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