“UTILITY OF IOTA ADNEX MODEL IN PRE-OPERATIVE EVALUATION OF ADNEXAL MASSES WITH HPE CO-RELATION IN FEMALES BETWEEN 30-70 YEARS IN TERTIARY CARE CENTRE OF CENTRAL INDIA”

1. Objectives: Ÿ To prove that there is a role of IOTA ADNEX model in preoperative evaluation of adnexal masses. 2. Conclusion And Results: Ÿ In our study, out of 65 patients, most of the patients were ≤50 years of age. Age was statistically signicant with HPE (p0.032). Ÿ We found that, most of the patients had family history in Malignant group compared to Benign group but this was not statistically signicant (p-0.951). Ÿ Our study showed that, a greater number of patients had more than 10 locules in Malignant group compared to Benign group though it was not statistically signicant (p-0.87). Ÿ Higher number of patients had Ascites in Malignant group compared to Benign group which was statistically signicant (p<0.001). Ÿ More number of patients had Post Acoustic Shadowing in Malignant group compared to Benign group which was statistically signicant (p<0.001). Ÿ It was found that, the mean CA 125 U/mL was higher in Malignant group compared to Benign group it was statistically signicant (p<0.001). Ÿ The mean Lesion Diameter (mm) was more in Malignant group compared to Benign group but this was not statistically signicant (p-0.701). Ÿ We showed that, the mean Solid Component Size (mm) was more in Malignant group compared to Benign group which was statistically signicant (p<0.001). Ÿ The mean number of Papillary Projections was more in Malignant group compared to Benign group which was statistically signicant (p-0.005). Ÿ We observed that, majority of lesions which were categorized as malignant by IOTA ADNEX model turned out to be malignant and benign lesions turned out to be benign on HPE, it was statistically signicant (p-0.0001). 3. Inference: IOTA ADNEX MODEL proved to be a useful tool in early detection of adnexal lesions and differentiating them into beningn and malignant groups. The discriminating performance of ovarian tumors with the IOTA-ADNEX model has been better than other existing models. In 2014, ADNEX model was developed. The ADNEX model helps in differentiation of benign from malignant by using 9 predictors, 3 of them are clinical (age, CA 125 and type of centre) and rest 6 are sonographic variables (maximal diameter of lesion, proportion of solid tissue, more than 10 cyst locules, no. of papillary projections, acoustic shadow and ascites. This study aimed to test reliability of these risks prediction models to improve the performance of pelvic ultrasound and discriminate between benign and malignant lesions. Association of results of IOTA ADNEX model with HPE was statistically signicant (p<0.0001)