Integrated pre-surgical diagnostic algorithm to define extent of disease in cervical cancer

2020

ObjectivesSurvival of patients with cervical cancer is strongly associated with the local extent of the primary disease. The aim of the study was to develop an integrated diagnostic algorithm, including ultrasonography (USG), magnetic resonance imaging (MRI), and examination under anesthesia, to define the local extent of disease in patients with newly diagnosed cervical cancer.MethodsPatients with biopsy proven cervical cancer who underwent primary surgery from January 2013 to December 2018 in four participating centers were recruited. Patients who underwent USG, MRI, and examination under anesthesia prior to surgery were included in the study. Those for whom complete data were not availab…