Mythily, M (2017) Study of risk of malignancy index scoring system in the preoperative evaluation of patients with ovarian tumor and its correlation with histopathological examination. Masters thesis, Stanley Medical College, Chennai.
|
Text
220600217mythily.pdf Download (7MB) | Preview |
|
|
Text
220600217mythily_abstract.pdf Download (8kB) | Preview |
Abstract
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in considering an optimal plan for an appropriate surgical treatment. OBJECTIVE: To evaluate the ability of risk of malignancy index based on menopausal status, ultrasonographic score and serum level of CA125 to discriminate between benign and malignant ovarian tumor. MATERIAL AND METHODS: This is a prospective observational study of 100 patients of all age group who admitted with a diagnosis of ovarian tumor at Govt. R.S.R.M Lying in hospital, Chennai during the period of 2015 to 2016 . The sensitivity, specificity, positive predictive value and negative predictive value of different cut off values of RMI were calculated. Finally it was correlated with histopathological examination. RESULTS: By comparing the RMI with different cut off values, the RMI with cut off value 200 gave sensitivity 82.6%, specificity 94.8%, positive predictive value 82.6% and negative predictive value 94.8%. It was significantly better in predicting malignancy. CONCLUSION: The RMI is able to discriminate between benign and malignant ovarian tumors. The RMI with a cut off value 200 was the most reliable in predicting malignancy. It is a simple method that can be incorporated into clinical practice easily to enable the selection of patients for proper referral to tertiary care centre.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Risk of malignancy index, Serum CA125, Menopausal status, Ultrasonographic score, Ovarian tumor. |
| Subjects: | MEDICAL > Obstetrics and Gynaecology |
| Depositing User: | Devi S |
| Date Deposited: | 20 Mar 2020 03:12 |
| Last Modified: | 20 Mar 2020 03:12 |
| URI: | http://repository-tnmgrmu.ac.in/id/eprint/12383 |
Actions (login required)
 |
View Item |
