A multicenter validation of computerized tomography models as predictors of non- optimal primary cytoreduction of advanced epithelial ovarian cancer

Development of a prediction model for residual disease in newly diagnosed advanced ovarian cancer

“…Comparison of the performance among each newly-described tool is warranted and should identify the most accurate model estimating cytoreduction; addition of molecular markers may further refine these tools. However, as observed with prior experiences, external validation is essential as prior efforts to accurately estimate primary surgical resection of EOC have not been sustained when applied to other populations for validation after initial development [11,34]. Estimation of successful resection in EOC has been an elusive and longstanding goal, but one that would be immensely helpful to reach.…”

“…Previous approaches to estimate cytoreduction have included assessment of disease distribution using intraoperative mapping of tumor dissemination [33], use of models based on CT imaging [34], and preoperative patient characteristics [35]. Most prior algorithms have aimed to estimate the probability of suboptimal cytoreduction at initial surgery, including a recent prospective study outlining a scoring system based on preoperative CA-125, ASA, and six preoperative CT findings [36].…”

Role of CT scan-based and clinical evaluation in the preoperative prediction of optimal cytoreduction in advanced ovarian cancer: a prospective trial

“…As already acknowledged (Bristow et al, 2000;Cooper et al, 2002), a multi-institutional prospective trial hopefully integrating preoperative clinical and radiographic variables is required to test whether the predictive models maintain their accuracy when applied to different patient cohorts. Indeed, a very recently published study by Gemer et al (2009) has underscored the difficulty to devise generally applicable models able to reliably predict surgical outcome in advanced ovarian cancer patients, across different Institutions. This issue can become clinically more relevant in the light of the upcoming mature results from EORTC 55971 trial.…”

The Use of CT Findings to Predict Extent of Tumor at Primary Surgery for Ovarian Cancer

“…Simultaneously, Gerestein et al examined 115 patients and found DPT and the presence of ascites to be most predictive [19]. Gemer et al performed validation measurements of several studies [10,[12][13][14] and found lack of confirmation of their metrics [20]. In addition to utilizing CT scan findings to predict suboptimal cytoreduction, others have attempted to predict ability to achieve an optimal cytoreduction using various preoperative tests, including non-CT imaging and CA-125 [12,13,15,[21][22][23][24][25].…”