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Imaging before cytoreductive surgery in advanced ovarian cancer patients.
Rizzo, Stefania; Del Grande, Maria; Manganaro, Lucia; Papadia, Andrea; Del Grande, Filippo.
Afiliação
  • Rizzo S; Istituto Imaging Svizzera Italiana, Ente Ospedaliero Cantonale, Lugano, TI, Switzerland stefania.rizzo@eoc.ch.
  • Del Grande M; Oncology Institute of Southern Switzerland, Bellinzona, TI, Switzerland.
  • Manganaro L; Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Roma, Lazio, Italy.
  • Papadia A; Department of Gynecology, Ente Ospedaliero Cantonale, Lugano, TI, Switzerland.
  • Del Grande F; Facoltà di Scienze Biomediche, Università della Svizzera Italiana, Lugano, TI, Switzerland.
Int J Gynecol Cancer ; 30(1): 133-138, 2020 01.
Article em En | MEDLINE | ID: mdl-31754068
ABSTRACT
Appropriate and accurate pre-operative imaging in epithelial ovarian cancer patients may allow selection of patients that may mostly benefit either from primary cytoreductive surgery or from neoadjuvant chemotherapy. If the patient is considered suitable for upfront surgery, pre-operative imaging may help in planning the surgical approach, to forecast the operating time, and to estimate the need for other consulting specialists. Currently, computed tomography (CT) imaging is the standard of care for pre-operative evaluation of ovarian cancer patients; however, advanced magnetic resonance imaging (MRI) is emerging as a technique that may overcome the limitations of CT imaging, especially for small peritoneal deposits in difficult-to-resect sites. Positron emission tomography (PET)-CT imaging in the pre-operative setting is currently limited, whereas the use of the new hybrid technique PET-MRI is still under evaluation. Since criteria that may preclude optimal cytoreductive surgery may vary, depending on the aggressiveness of the surgical procedure and surgeon skill, multidisciplinary consensus conferences are the ideal platform to evaluate extent of the disease and surgical strategy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Female / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Female / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article