Abstract: With the exponential rise in ovarian cancer cases, the need of the hour is timely diagnosis and treatment for better outcomes. Secondary health care centers have quick access to ultra sound equipments as compared to invasive procedures such as biopsies. Keeping this in regard, implementation of International Ovarian Tumor Analysis (IOTA) simple rules becomes an important methodology.
In the present study, 2000 women were screened over a period of 2 years for ovarian cancer, out of which 52 women were included in the study. The tumor prediction rules were divided into malignant (M-features) and benign (B-features).
The study found that the IOTA Simple Rules classified ovarian masses with high accuracy, showing 84.6% sensitivity and 89.7% specificity compared to histopathology. Most benign masses had low vascularity, while malignant masses commonly exhibited strong blood flow. The rules reliably differentiated benign from malignant tumors in a secondary care setting.
The IOTA simple rules were as effective as biopsy in diagnosing malignant and benign tumors. Thus, this method can help in accurate diagnosis particularly in low resource setting, although unclassified or ambiguous cases may still require further expert assessment or advanced imaging for definitive diagnosis.
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