The value of PET/CT for cytoreductive surgery selection in recurrent ovarian carcinoma

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Abstract

Objective: To evaluate the value of positron emission tomography/computed tomography (PET/CT) in predicting no residual disease (NRD) after secondary cytoreductive surgery (SCS) compared with MSK criteria, the iMODEL, and the AGO score. Methods: We analyzed 112 patients with platinum-sensitive ovarian carcinoma who underwent SCS. We excluded patients for whom PET/CT was not performed, those without sufficient data, and who received chemotherapy before SCS. Ultimately, 69 patients were included. Results: Variables that correlated with NRD were peritoneal carcinomatosis index (odds ratio [OR]=0.91; 95% confidence interval [CI]=0.83–0.99; p=0.044), European Cooperative Oncology Group Performance Status (ECOG) 0 (OR=8.0; 95% CI=1.34–47.5; p=0.022), and ≤2 lesions by PET/CT (OR=4.36; 95% CI=1.07–17.7; p=0.039). Of the patients with ≤2 lesions by PET/CT, 48 (92.3%) underwent complete SCS. The sensitivity, positive predictive value, negative predictive value, and accuracy of PET/CT for NRD were 85.7%, 92.3%, 33.3%, and 81.2%, respectively. NRD was achieved after fulfilling the MSK criteria, iMODEL and AGO Score in 89.1%, 88.1% and 85.9%, respectively. The accuracy of the MSK criteria, iMODEL, and AGO score in predicting NRD was 87%, 83.3%, and 77.3%, respectively. The PET/CT findings agreed well with the AGO score and iMODEL. The addition of PET/CT to these models increased the NRD rates (92.2%, 91.8%, and 89.4% for MSK+PET/CT, iMODEL+PET/ CT, and AGO+PET/CT, respectively), but lowered their accuracy. Conclusion: We observed NRD in 92.3% of patients with ≤2 lesions by PET/CT, with an accuracy of 81.2%. PET/CT did not increase the accuracy of the MSK criteria, iMODEL, or AGO score models.

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Nunes, R. L., Teixeira, F. R., Diniz, T. P., Faloppa, C. C., Mantoan, H., da Costa, A. A. B. A., & Baiocchi, G. (2023). The value of PET/CT for cytoreductive surgery selection in recurrent ovarian carcinoma. Journal of Gynecologic Oncology, 34(3). https://doi.org/10.3802/jgo.2023.34.e31

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