Prospective validation of a laparoscopic predictive model for optimal cytoreduction in advanced ovarian carcinoma

Abstract

Objective: The purpose of this study was to validate the performance of a laparoscopy-based model to predict optimal cytoreduction in advanced ovarian cancer patients.

Study design: In a consecutive prospective series of 113 advanced ovarian cancer patients, the presence of omental cake, peritoneal and diaphragmatic extensive carcinosis, mesenteric retraction, bowel and stomach infiltration, spleen and/or liver superficial metastasis were investigated by laparoscopy. By summing the scores relative to all parameters, a laparoscopic assessment for each patient (total predictive index value = PIV) has been calculated. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy have been calculated for each PIV.

Results: The overall accuracy rate of the laparoscopic procedure ranged between 77.3 and 100%. At a PIV >/= 8 the probability of optimally resecting the disease at laparotomy is equal to 0, and the rate of unnecessary exploratory laparotomy is 40.5%.

Conclusion: The proposed laparoscopic model appears a reliable and flexible tool to predict optimal cytoreduction in advanced ovarian cancer.