ANALYSIS OF THE USE OF TRANSVERSAL ULTRASOUND IN THE EARLY DETECTION OF OVARIAN CANCER

Abstract

Ovarian cancer is one of the most lethal gynecological cancers, often diagnosed late in advanced stages (III or IV), resulting in low five-year survival rates. Early detection increases survival chances but is challenging due to nonspecific symptoms. Transvaginal ultrasound is effective for screening and analyzing ovarian tumors, though it still faces standardization and precision challenges. This study evaluates advancements in transvaginal ultrasound, incorporating methods such as IRM, ROMA algorithm, IOTA "Simple Rules," ADNEX, and artificial intelligence, which help differentiate benign from malignant tumors, improving early detection despite ongoing validation and standardization challenges.