作者: Dae Chul Jung , Sokbom Kang , Seung-Cheol Kim , Jae Weon Kim , Joo-Hyun Nam
DOI: 10.1016/J.YGYNO.2013.07.110
关键词:
摘要: Abstract Objectives We aimed to develop a risk model predict of suboptimal cytoreduction in primary surgery ovarian cancer. Methods The clinical records and computed tomography (CT) data 358 patients with stages II–IV epithelial cancer were reviewed. Tumor spread patterns identified by principal component analysis, CA-125, newly developed surgical skill index integrated into logistic along other variables. Internal validation was performed using bootstrapped re-sampling calibration assessed goodness-of-fit test. Results Among the patients, optimal cytoreduction, which defined as no residual tumor, achieved 145 (40.5%). capacity an individual institution estimated index, frequency complex surgeries advanced disease. In multivariate model, two distinctive CT tumor (diffuse pattern upper abdominal extension pattern), serum CA-125 independently predicted (P=0.006, P=0.013, P=0.031, P=0.001, respectively). showed C-statistic .73 (95% confidence interval .67 .79), significantly higher than stage or ascites. Rigorous internal successfully confirmed model. Conclusions distinct cancer, can be improve prediction Our may useful patient referral trials for stratification.