Effectiveness of International Ovarian Tumour Analysis (IOTA) Simple Ultrasound Rules in Predicting Malignancy in Ovarian Tumors (Code-T0043)
Keywords:
Ovarian tumors, malignancy, IOTA, ultrasound, sensitivity, diagnostic accuracy.Synopsis
Introduction: Ovarian cancer is one of the leading causes of gynecological cancer-related deaths worldwide. Early detection of malignancy in ovarian tumors is crucial for improving patient outcomes. The International Ovarian Tumour Analysis (IOTA) Simple Ultrasound Rules are a diagnostic tool designed to differentiate between benign and malignant ovarian tumors using ultrasound features. This study evaluates the effectiveness of these rules in predicting malignancy in ovarian tumors.
Aims and Objectives:
- To determine the use of International Ovarian Tumor Analysis (IOTA) simple rules for preoperative characterization of ovarian masses.
- To evaluate its accuracy in distinguishing between benign and malignant tumor by correlating with histopathology report.
Methods: A prospective observational study was conducted with 200 women presenting with ovarian masses. All patients underwent transvaginal ultrasound examination following the IOTA Simple Ultrasound Rules. The ultrasound findings were analyzed for parameters such as tumor morphology, structure, and vascularity. Histopathological examination post-surgery served as the gold standard for diagnosing malignancy.
Results: Of the 200 patients, 120 had benign tumors and 80 had malignant tumors. The IOTA Simple Ultrasound Rules demonstrated a sensitivity of 90%, specificity of 85%, and an overall accuracy of 87% in predicting malignancy. The rules performed particularly well in distinguishing between benign cystic tumors and malignant solid tumors.
Conclusion: The IOTA Simple Ultrasound Rules are highly effective in predicting malignancy in ovarian tumors, offering a reliable, non-invasive method for early detection and appropriate clinical management.
Keywords: Ovarian tumors, malignancy, IOTA, ultrasound, sensitivity, diagnostic accuracy.
