Ovarian cancer affects thousands of women every year and represents the female cancer with the highest mortality rate. Effectively, it is a severe disease that requires a multidisciplinary approach for optimal treatment. Surgery currently is the cornerstone of its treatment and numerous methods have been analyzed and developed to predict the possibility of obtaining a residual tumor of 0 (RT=0). This review aimed to analyze the available data in the literature about minimally invasive surgical methods to predict an RT=0 in patients with advanced epithelial ovarian carcinoma undergoing primary debulking surgery. An accurate review of the literature has been performed on the available data about the surgical criteria of cytoreducibility during primary debulking surgery. An accurate assessment of the extent of intra- and extra-abdominal pathology is essential to guide the surgeon in the most appropriate therapeutic choice for patients with ovarian cancer and multidisciplinary approaches that combine different methodologies such as radiological methods (magnetic resonance imaging, positron emission tomography and computed tomography), surgical (mini-laparotomy, laparoscopy) and serological (CA-125, HE4) data provide a complete picture in determining the extent of the tumor and an enormous aid in personalizing the therapeutic approach.

Laparoscopic prediction of primary cytoreducibility of epithelial ovarian cancer / GOLIA D'AUGÈ, Tullio; Cuccu, Ilaria; DE ANGELIS, Emanuele; DI DONATO, Violante; Muzii, Ludovico; D'Oria, Ottavia; Chiantera, Vito; Gerli, Sandro; Caserta, Donatella; Besharat, Aris R.; Laganà, Antonio S.; Bogani, Giorgio; Favilli, Alessandro; Giannini, Andrea. - In: MINERVA OBSTETRICS AND GYNECOLOGY. - ISSN 2724-6450. - (2024). [10.23736/s2724-606x.24.05452-6]

Laparoscopic prediction of primary cytoreducibility of epithelial ovarian cancer

GOLIA D'AUGÈ, Tullio
;
CUCCU, Ilaria;DE ANGELIS, Emanuele;DI DONATO, Violante;MUZII, Ludovico;D'ORIA, Ottavia;CASERTA, Donatella;BOGANI, Giorgio;GIANNINI, Andrea
2024

Abstract

Ovarian cancer affects thousands of women every year and represents the female cancer with the highest mortality rate. Effectively, it is a severe disease that requires a multidisciplinary approach for optimal treatment. Surgery currently is the cornerstone of its treatment and numerous methods have been analyzed and developed to predict the possibility of obtaining a residual tumor of 0 (RT=0). This review aimed to analyze the available data in the literature about minimally invasive surgical methods to predict an RT=0 in patients with advanced epithelial ovarian carcinoma undergoing primary debulking surgery. An accurate review of the literature has been performed on the available data about the surgical criteria of cytoreducibility during primary debulking surgery. An accurate assessment of the extent of intra- and extra-abdominal pathology is essential to guide the surgeon in the most appropriate therapeutic choice for patients with ovarian cancer and multidisciplinary approaches that combine different methodologies such as radiological methods (magnetic resonance imaging, positron emission tomography and computed tomography), surgical (mini-laparotomy, laparoscopy) and serological (CA-125, HE4) data provide a complete picture in determining the extent of the tumor and an enormous aid in personalizing the therapeutic approach.
2024
ovarian neoplasms; gynecologic surgical procedures; laparoscopy.
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Laparoscopic prediction of primary cytoreducibility of epithelial ovarian cancer / GOLIA D'AUGÈ, Tullio; Cuccu, Ilaria; DE ANGELIS, Emanuele; DI DONATO, Violante; Muzii, Ludovico; D'Oria, Ottavia; Chiantera, Vito; Gerli, Sandro; Caserta, Donatella; Besharat, Aris R.; Laganà, Antonio S.; Bogani, Giorgio; Favilli, Alessandro; Giannini, Andrea. - In: MINERVA OBSTETRICS AND GYNECOLOGY. - ISSN 2724-6450. - (2024). [10.23736/s2724-606x.24.05452-6]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1722481
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