Multi-factor In The Prediction Of Ovarian Cancer Patients Underwent Ideal Primary Cytoreductive Surgery

Background Ovarian cancer is the highest mortality tumor in gynecological tumors,and it can prolong the survival of patients by removing the visible ovarian cancer lesions.However,it has not been found that some type of examination assess whether the patient has performed the initial operation can achieve the desired operation to reduce the complications of the operation.Relevant studies have confirmed that optimal debulking is of great significance in improving the prognosis of patients,but the research on this model is steel rare.This paper verifies that Suidan's research model has certain value for the evaluation of ovarian cancer-operation.Objective Clinical value of preoperative computed tomography scan and serum CA-125 level in the prediction of stage III-IV ovarian cancer patients underwent ideal primary cytoreductive surgery.Methods According to Suidanresearch in 2014,they identified three clinical(:age ?60years,CA-125 ?500 U/m L,ASA 3-4)and six radiologic criteria(suprarenal retroperitoneal lymph nodes >1 cm,diffuse small bowel adhesions/thickening,lesions >1 cm in the small bowel mesenter,root of the superior mesenteric artery,perisplenic area,lesser sac > 1cm).We collected 98 patients.A CT scan of the abdomen/pelvis and serum CA125 were obtained within 14 days before surgery,respectively.The correlation between CT,CA125 and surgical was analyzed by Chi-square test and Receiver operating characteristic(ROC)cult.Results 98 patients met eligibility criteria.The optimal debulking was 51 patients and the positive rate was 54%.,but suboptimal was 47 patients and the rate was 46%.Three clinical and six radiologic criteria who undergo ‘optimal' vs ‘suboptimal' debulking was considered statistical significant(a p value of <0.05).Only by CT scan,?3??5??7??9 score,the optimal debulking was 23?19?13?13,and the rate was 40%?55%?52%?100%.ROC curves were generated,with this six CT criteria showing an area under the curve(AUC)of 0.633.The six CT criteria,CA-125,age,and ASA,demonstrating an AUC of 0.702.Conclusions The higher of the predicted score,the higher the incidence of optimaldebulking surgery.These results may be helpful in pretreatment patient assessment.