Positive DESKTOP and Tian Scores Systems Are Adequate to Predict Optimal (R0) Secondary Debulking Surgery in Ovarian Cancer, But a Negative Score Does Not Preclude Secondary Surgery

Abstract

Objective: The aim of this study was to assess the safety and feasibility of macroscopically complete (R0) secondary debulking surgery (SDS) in a single-center cohort of patients with recurrent ovarian cancer. The performances of existing prediction models (DESKTOP score, Tian model) for R0 SDS were evaluated in this cohort. Methods: Patient, disease, and treatment characteristics of 102 patients undergoing SDS for recurrent ovarian cancer at the University Hospitals Leuven between 1997 and 2014 were collected. Results: R0 SDS was achieved in 73% of patients and associated with improved progression-free survival (P = 0.0002) and overall survival (P = 0.0003) compared with non-R0 resection. Variables associated with R0 SDS were site of relapse (P = 0.046) and absence of ascites (P = 0.045). The DESKTOP score and Tian model showed positive predictive values for R0 SDS of 80% and 73%, respectively. However, a false-negative rate for R0 resection of 61% and 70% was observed in our study. Progression-free survival and overall survival did not significantly differ between DESKTOP score-positive and -negative patients with R0 SDS. Conclusions: We confirmed a high positive predictive value in the selection of candidates for R0 SDS with the DESKTOP score and the Tian model. However, because 61% and 70% of the patients with a negative score were debulked to R0, we suggest that other selection criteria based on anatomic and metabolic imaging such as whole-body diffusion-weighted magnetic resonance imaging should be evaluated when selecting patients for SDS.