Contact: +91-9711224068
International Journal of Applied Research
  • Multidisciplinary Journal
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

International Journal of Applied Research

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

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  |  750 Views  29 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.
Call for book chapter
International Journal of Applied Research