Flavia De Simone
Doppler Flow Imaging in support of ovarian tumor diagnosis: automated denoising and evaluation of color score in accordance with IOTA guidelines.
Rel. Filippo Molinari, Daniele Conti. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2020
Abstract
Although ovarian cancer ranks quite low for what concerns tumor incidence among women, it ranks fifth in cancer deaths among women and it is accountable for the largest number of deaths due to tumors of the reproductive system. These unfavorable statistics are due to the challenging nature of early diagnosis, as this type of cancer is often diagnosed in the more advanced stages of malignancy. It has been demonstrated that early recognition is crucial for the prognosis, having the potential of reducing mortality rates by approximately 40%. Transvaginal ultrasound, coupled with Doppler Flow Imaging, is the method of choice for assessing ovarian adnexal masses, through subjective assessment.
However, not all ultrasound operators have a sufficient level of experience in adnexal pathology in order to correctly use subjective assessment, which is why agreement is quite poor
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