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[Recurrent ovarian cancer--qualification and results of surgical treatment].

INTRODUCTION
Complete tumor cytoreduction seems to be beneficial for platinum-sensitive women with recurrent ovarian cancer (ROC). Selection of patients who might have a chance for complete debulking constitutes a real challenge. Several predictive models defining a chance for complete cytoreduction and help in patient selection for surgery have been developed.


OBJECTIVES
The aim of the study was to evaluate the effectiveness of selected models in one clinical center and the impact of complete resection on treatment outcome.


MATERIAL AND METHODS
A total of 17 patients with ROC, diagnosed at least 6 months after first-line chemotherapy were recruited for the study. The inclusion criteria were based on the AGO-score (DESKTOP I trial). The group were retrospectively analyzed based on the predictive model International Collaborative Cohort Score (Tian- score). The end point was the percentage of complete cytoreduction. Also, postoperative complications and progression-free survival (PFS) were evaluated.


RESULTS
Out of 17 patients who meet the criteria of the the AGO-score, complete debulking was achieved in 13 (76.47%) cases. Comparing the results of the Tian-score, 12 (100%) patients who were considered to be at 'low-risk of surgical failure' were debulked optimally In addition, complete debulking was achieved in 1 patient from the high-risk group. In all optimally operated patients, the number of changes detected during pre-operative imaging was ≤ 3. In 11 patients after complete cytoreduction there was another relapse. The median of PFS was 16 months.


CONCLUSIONS
The applied predictive models have proven to be effective in selecting patients who will benefit from surgical treatment of ROC.