Prediction of lymph node involvement in epithelial ovarian cancer by PET/CT, CT and MRI imaging

Objective: The aim of this study is to detect retroperitoneal metastatic lymph nodes in epithelial ovarian cancer with preoperative imaging methods (MRI, CT, 18F-FDG PET/CT). Material and method: Patients followed by the Akdeniz University Faculty Medicine Gynecologic Oncology Surgery Department registered hospital’s electronic file system, who had undergone pelvic and/or paraaortic lymphadenectomy, having at least one method PET/CT), were included study. Based on data available, 89 patients Lymph node metastasis histopathology reports these was accepted as gold standard. presence modalities PET/CT) regarded positive compared standard pathological metastasis. By doing so, accuracy, specificity, sensitivity, PPV NPV predicting calculated. Findings: Thirty-eight (42.7%) our stage 3C. data, while 85 obtained four only lymphadenectomy. Of patients, 73 a 20 PET/CT 12 an MRI. PPV, accuracy CT regarding all nodal involvement 62%, 52%, 57%, respectively. PET/CT’s values 63%, 66%, 70%, 60% 65%, PET alone 50%, 91%, 80%, 73% 75%, Conclusion: According we obtained, it challenging decide whether perform systemic lymphadenectomy based hence, further investigation needed for more accurate techniques.