A Prospective study to Evaluate the Risk Malignancy Index and Its Diagnostic Implications in Patients with Suspected Ovarian Mass

Ramya Krishnan, R (2022) A Prospective study to Evaluate the Risk Malignancy Index and Its Diagnostic Implications in Patients with Suspected Ovarian Mass. Masters thesis, Madras Medical College, Chennai.

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Abstract

BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative characterization of ovarian mass determine the management and prognosis of the patient. Various combined methods for evaluating ovarian mass are proposed. Risk of Malignancy Index (RMI) is a combined parameter which is simple, practical and highly sensitive and more specific. AIMS AND OBJECTIVES: 1. To study the demographic profile of ovarian tumors based on their distribution according to age, parity, body mass index and menstrual history. 2. To determine the sensitivity, specificity, positive predictive value and negative predictive value of RMI in diagnosing ovarian tumors. 3. To assess RMI 2 cut off for differentiating benign and malignant ovarian tumors in South Indian population. MATERIALS AND METHODS: This is a prospective study conducted on 120 patients who were admitted with ovarian mass over a period of one year at Institute of Obstetrics and Gynaecology and Government Hospital for Women and Children, Egmore and Institute of Social Obstetrics and Government Kasturba Gandhi Hospital for Women and Children, Triplicane from October 2020 to October 2021. RESULTS: RMI 2 cut off 200 is accurate in distinguishing malignant and benign ovarian mass for south Indian population. At a cut off of 200 the sensitivity, specificity, positive predictive value and negative predictive value were 84%, 95%, 84% and 95.7% respectively. CONCLUSION: Differentiation of benign and malignant ovarian tumor is an important step in the preoperative evaluation of ovarian mass. Risk Malignancy Index incorporates menopausal status, ultrasound score and CA 125 is a better estimate in diagnosing ovarian mass and early referral to gynecological oncologist.The optimal cut off point that best distinguishes benign from malignant ovarian mass for RMI is 200 in the present study.

Item Type: Thesis (Masters)
Additional Information: 221916885
Uncontrolled Keywords: Risk malignancy index, ovarian mass, CA 125, ultrasound.
Subjects: MEDICAL > Obstetrics and Gynaecology
> MEDICAL > Obstetrics and Gynaecology
Depositing User: Subramani R
Date Deposited: 17 Apr 2022 07:41
Last Modified: 29 Nov 2023 03:16
URI: http://repository-tnmgrmu.ac.in/id/eprint/19314

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