Nome e qualifica del proponente del progetto: 
sb_p_2824312
Anno: 
2021
Abstract: 

Worldwide, endometrial cancer is the fourth most common malignancy of the female genital tract. Approximately 70% of patients have a diagnosis of cancer when the neoplasm is confined to the uterus with a good prognosis: 95% of 5 years overall survival. Prognosis depends on the age of patients, histological type, grade differentiation, tumor size, depth of myometrial involvement, cervical stromal invasion and lymph node metastases. Tumor size, myometrial invasion, vascularization, and cervical stromal involvement cannot be determined by clinical examination. Preoperative examination of these parameters in endometrial cancer patients plays an important therapeutic and prognostic role. Currently, there is no consensus on the use of imaging methods in the preoperative assessment. At present, the transvaginal ultrasound (TV-US) represent one of the best achievable low-cost imaging techniques with a sensivity of 68%, and a specificity of 82% respectively for myometrial involvement. d. We will include in the study consecutive women with histologically confirmed endometrial cancer, planned for surgery and all women will undergo TV-US within 7-10 days prior to surgery to assess the local extent of the tumor and vascularization pattern and uterine artery index. . The aim of the study is to evaluate some characteristics at the ultrasound and to compare them to hystological and bimolecular findings.

ERC: 
LS4_1
LS4_6
Componenti gruppo di ricerca: 
sb_cp_is_3622729
sb_cp_is_3615535
sb_cp_is_3622114
sb_cp_is_3621431
sb_cp_es_471779
Innovatività: 

Until now, vascularization pattern and uterine artery index evaluated by ultrasound imaging have never been emploied for the evalutation of risk of the endometrial cancer. This study will offer new informations about ultrasound parameters as endometrial cancer extention, myometrial and cervical invasion, vascularization and uterine artery RI and PI that can be correlate with risk class in the endometrial cancer. This data will offer a better preoperative evaluation and could help the surgeon to classify preoperatively the class of risk and this is important in order to tailor for the patients the radicality of the hysterectomy.

Codice Bando: 
2824312

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