Purpose:To compare accuracy and interobserver variability in the detection and localization of recurrent ovarian cancer with contrast material-enhanced (CE) computed tomography (CT) and positron emission tomography (PET)/CT and determine whether imaging fi ndings can be used to predict survival.
Materials and Methods:Waiving informed consent, the institutional review board approved this HIPAA-compliant, retrospective study of 35 women (median age, 54.4 years) with histopathologically proven recurrent ovarian carcinoma who underwent CE CT and PET/CT before exploratory surgery. All CE CT and PET /CT scans were independently analyzed. Tumor presence, number of lesions, and the size and maximum standardized uptake value (SUV max ) of the largest lesion were recorded for patient and region. Surgical histopathologic fi ndings constituted the reference standard. Areas under the receiver operating characteristic curves (AUCs), k statistics, and hazard ratios were calculated.
Results:Readers' AUCs in detection of recurrence for region were 0.85 (95% confi dence interval [CI]: 0.81, 0.90) and 0.78 (95% CI: 0.72, 0.83) for CE CT and 0.84 (95% CI: 0.79, 0.89) and 0.74 (95% CI: 0.67, 0.81) for PET/CT ( P = .76); 12 patients died. At PET/CT, size, number, and SUV max of peritoneal deposits were signifi cantly associated with poor survival for readers 1 and 2 ( P Յ .01 and Յ .05, respectively), as were long-and short-axis diameters, number, and SUV max of distant lymph nodes for reader 1 ( P Յ .001).With CE CT, size (reader 1) and number (readers 1 and 3) of peritoneal deposits were signifi cantly associated with poor survival ( P Յ .01), as were long-and short-axis diameters and number of distant lymph nodes for reader 1 ( P Յ .01). Interobserver agreement ranged from fair (patient, k = 0.30) to moderate (region, k = 0.55) for CE CT and fair (patient, k = 0.24) to substantial (region, k = 0.63) for PET/CT.
Conclusion:Preliminary data suggest that CE CT and PET/CT may have similar accuracy in detection of recurrent ovarian cancer. Tumor size, number, and SUV max may have potential as prognostic biomarkers for patients with recurrent ovarian cancer.q RSNA, 2010