Giaquinto I

BACKGROUND: This study aims to evaluate the diagnostic performance of Deep Learning (DL) machine for the detection of adenomyosis on uterine ultrasonographic images and compare it to intermediate ultrasound skilled trainees. METHODS: Prosp…

Abstract Purpose: To evaluate the diagnostic performance of Deep Learning (DL) machine for the detection of adenomyosis on uterine ultrasonographic images and compare it to intermediate ultrasound skilled trainees. Methods: Prospective obse…

Study objectiveTo evaluate feasibility of near-infrared (NIR)-indocyanine green (ICG) imaging for bowel vascularization assessment after full-thickness bowel resection for rectosigmoid endometriosis (RSE).DesignThis is a prospective, single…

INTRODUCTION: Several studies have assessed the histological co-existence of endometrial carcinoma (EC) and adenomyosis. However, the significance of this association is still unclear. OBJECTIVE: To assess the prevalence of adenomyosis in …

BACKGROUND: The aim of this study was to evaluate the prevalence of ultrasound diagnosis of adenomyosis and endometriosis in young women complaining of pelvic pain and to find the symptoms and clinical characteristics associated with these …

INTRODUCTION: Recto-vaginal endometriosis surgical management needing partial colpectomy is a surgically challenging condition and has been associated with a notable risk of major postoperative complications. In the present study we sought …

Introduction. The objective of the study was to evaluate the presence of different rectosigmoid endometriosis (RSE) vascular patterns using intraoperative indocyanine green (ICG) angiography and their correlation with clinicopathological da…

ObjectiveTo compare the effects of Dienogest (D) and Norethindrone acetate (N) in symptomatic women with ovarian endometriomas, analyzing the efficacy in reducing endometrioma size and symptom relief and drug tolerability.Study designRetros…