BACKGROUND: The standard treatments of patients with platinum-sensitive recurrent ovarian cancer (ROC) remains poorly defined. Chemotherapy (CT) and secondary cytoreductive surgery (SCS) represent both valid options, even if several studies demonstrated a greater survival benefit, with survival rates up to 62 months, for platinum-sensitive patients undergoing complete SCS. The purpose of the present study was to develop a predictive model, named SeC-Score (SeC-s), to assess the risk of optimal SCS, including, for the first time in literature, HE4. METHODS: All patients affected by suspicious ROC at radiologic imaging, referred to the Department of Gynecology of Campus Bio-medico of Rome, were prospectively included in the study. The preoperative variables considered in our predictive model were: age, residual tumour (RT) at primary cytoreduction (0 vs. >0 cm), preoperative CA125 and HE4, and ascites at recurrence. After exploratory laparotomy, patients were submitted to secondary SCS (Group A) or addressed to CT (Group B). RESULTS: A total of 135 patients with ROC were considered for the analysis. Preoperative CA125, HE4, ascites, and RT at first surgery were found statistically significant and included into a multivariate logistic regression model to determine the risk to not optimal SCS. In the overall cohort of patients, SeC-s reported sensitivity and specificity of 82 and 83 %, respectively (PPV = 0.79, NPV = 0.81). CONCLUSIONS: Our data support the use of SeC-s to preoperative triage patients suitable of optimal SCS, even if external validation is needed.
BACKGROUND: The standard treatments of patients with platinum-sensitive recurrent ovarian cancer (ROC) remains poorly defined. Chemotherapy (CT) and secondary cytoreductive surgery (SCS) represent both valid options, even if several studies demonstrated a greater survival benefit, with survival rates up to 62 months, for platinum-sensitive patients undergoing complete SCS. The purpose of the present study was to develop a predictive model, named SeC-Score (SeC-s), to assess the risk of optimal SCS, including, for the first time in literature, HE4. METHODS: All patients affected by suspicious ROC at radiologic imaging, referred to the Department of Gynecology of Campus Bio-medico of Rome, were prospectively included in the study. The preoperative variables considered in our predictive model were: age, residual tumour (RT) at primary cytoreduction (0 vs. >0 cm), preoperative CA125 and HE4, and ascites at recurrence. After exploratory laparotomy, patients were submitted to secondary SCS (Group A) or addressed to CT (Group B). RESULTS: A total of 135 patients with ROC were considered for the analysis. Preoperative CA125, HE4, ascites, and RT at first surgery were found statistically significant and included into a multivariate logistic regression model to determine the risk to not optimal SCS. In the overall cohort of patients, SeC-s reported sensitivity and specificity of 82 and 83 %, respectively (PPV = 0.79, NPV = 0.81). CONCLUSIONS: Our data support the use of SeC-s to preoperative triage patients suitable of optimal SCS, even if external validation is needed.
Authors: Giuseppe Scaletta; Lorena Quagliozzi; Stefano Cianci; Virginia Vargiu; Maria Cristina Mele; Giovanni Scambia; Anna Fagotti Journal: Updates Surg Date: 2019-04-20