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Comparative Studies | Gynaecology | India | Volume 12 Issue 10, October 2023 | Rating: 5 / 10

Comparison of Risk of Malignancy Index (RMI) Models (RMI-1, RMI-2, RMI-3 & RMI-4) to Predict Risk of Malignancy in Ovarian Tumor

Dr. Reetu Yadav | Dr. Latika Sahu | Dr. Krishan Kumar Kanhaiya

Abstract: Objective: Comparison of Risk of Malignancy Index (RMI) models (RMI-1, RMI-2, RMI-3 & RMI-4) to predict risk of malignancy in ovarian tumor. Methods: prospective observational study among 100 patients recruited from opd and in patients of department of Obstetrics and Gynaecology, Maulana Azad Medical College, New Delhi. Inclusion criteria - ovarian tumor>5 cms. Patients with ovarian mass>5cm recruited, detailed history taking and examination done, serum CA125 collected, ultrasonography done followed by RMI calculated and to get FNAC/ Histopathology report of the same case and to compare RMI report with histopathology report and to conclude which model is best to predict risk of malignancy in ovarian tumor. Result: RMI-1 sensitivity was 75.43%, specificity 77.46, PPV 57.3, NPV 88.7 and Accuracy 76.88. RMI-2 sensitivity was 79.63, specificity 78.95, PPV 58.44, NPV 90.08 and Accuracy 78.93. RMI-3 sensitivity was 80.35, specificity 80.35, PPV 58.44, NPV 90.9 and Accuracy 78.28. RMI-4 sensitivity was 86.8, specificity 91.0, PPV 63.5%, NPV 97.5 and Accuracy 90. Conclusion: Among these models RMI-4 has maximum sensitivity (86.8%), specificity (91.0%), PPV (63.5%) NPV (97.5%) and accuracy (90.4%).

Keywords: RMI, Risk of Malignancy Index

Edition: Volume 12 Issue 10, October 2023,

Pages: 314 - 315