Introduction: Medical models assist clinicians in making diagnostic and prognostic decisions in complex situations. In advanced ovarian cancer, medical models could help prevent unnecessary exploratory surgery. We designed two models to predict suboptimal or complete and optimal cytoreductive surgery in patients with advanced ovarian cancer. Methods: We collected clinical, pathological, surgical, and residual tumor data from 110 patients with advanced ovarian cancer. Computed tomographic and laparoscopic data from these patients were used to determine peritoneal cancer index (PCI) and lesion size score. These data were then used to construct two-by-two contingency tables and our two predictive models. Each model included three risk score levels; the R4 model also included operative PCI, while the R3 model did not. Finally, we used the original patient data to validate the models (narrow validation). Results: Our models predicted suboptimal or complete and optimal cytoreductive surgery with a sensitivity of 83% (R4 model) and 69% (R3 model). Our results also showed that PCI>20 was a major risk factor for unresectability. Conclusion: Our medical models successfully predicted suboptimal or complete and optimal cytoreductive surgery in 110 patients with advanced ovarian cancer. Our models are easy to construct, based on readily available laboratory test data, simple to use clinically, and could reduce unnecessary exploratory surgery in this patient group.

BackgroundSurgery for advanced ovarian cancer (AOC) frequently results in serious complications. The present study aimed to determine the importance of various factors and complications in cytoreductive surgery for AOC.Patients and methodsThe present study included 90 patients with AOC who underwent primary cytoreductive surgery in a single institution from January 2013 to August 2017. Demographic and clinicopathologic characteristics, surgical procedures, residual disease, and follow-up data were analyzed. Cytoreductive surgery was defined as complete (no residual tumor), optimal (residual tumor <1 cm in diameter), and suboptimal (residual tumor >1 cm in diameter). Grade III–IV complications were considered major. Patients were evaluated every 3–6 months.ResultsSurgical outcome was complete in 75 (82%), optimal in 5 (6%), and suboptimal in 11 (12%) patients. Major complications occurred in 28 (31%) patients. Independent risk factors for major complications were ≥five visceral resections, rectosigmoid resection, glissectomy, and pelvic peritonectomy. A score created by weighing the multivariate OR for each risk factor correctly predicted major complications in 67% of cases. A score cut-off of >2 discriminated between patients with and without complications in 79% of cases (95% CI: 70%–86%, P<0.001). Adjuvant chemotherapy was performed as planned in 67 patients (74%), including 50 (75%) without major complications and 17 (25%) with major complications.ConclusionRisk factors for major complications in cytoreductive surgery for AOC are ≥five visceral resections, rectosigmoid resection, glissectomy, and pelvic peritonectomy. Our model predicts morbidity based on major and minor classifications of complications.

HighlightsEpithelioid hemangioendothelioma (EH) is a rare tumour of derived from endothelial cells.The initial presentations can be confused with an advanced ovarian cancer.Only Histological exam confirms the definitive diagnosis.Most patients are candidates for liver transplantation.

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