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        The added value of SLN mapping with indocyanine green in low- and intermediate-risk endometrial cancer management: a systematic review and meta-analysis

        Lara C. Burg,Shenna Verheijen,Ruud L.M. Bekkers,Joanna IntHout,Robert W. Holloway,Salih Taskin,Sarah E. Ferguson,Yu Xue,Antonino Ditto,Glauco Baiocchi,Andrea Papadia,Giorgio Bogani,Alessandro Buda,Roy 대한부인종양학회 2022 Journal of Gynecologic Oncology Vol.33 No.5

        Objective: The aim of this study was to assess the SLN detection rate in presumed early stage, low- and intermediate-risk endometrial cancers, the incidence of SLN metastases, and the negative predictive value of SLN mapping performed with indocyanine green (ICG). Methods: A systematic review with meta-analyses was conducted. Study inclusion criteria were A) low- and intermediate-risk endometrial cancer, B) the use of ICG per cervical injection; C) a minimum of twenty included patients per study. To assess the negative predictive value of SLN mapping, D) a subsequent lymphadenectomy was an additional inclusion criterion. Results: Fourteen studies were selected, involving 2,117 patients. The overall and bilateral SLN detection rates were 95.6% (95% confidence interval [CI]=92.4%–97.9%) and 76.5% (95% CI=68.1%–84.0%), respectively. The incidence of SLN metastases was 9.6% (95% CI=5.1%–15.2%) in patients with grade 1–2 endometrial cancer and 11.8% (95% CI=8.1%–16.1%) in patients with grade 1–3 endometrial cancer. The negative predictive value of SLN mapping was 100% (95% CI=98.8%–100%) in studies that included grade 1–2 endometrial cancer and 99.2% (95% CI=97.9%–99.9%) in studies that also included grade 3. Conclusion: SLN mapping with ICG is feasible with a high detection rate and negative predictive value in low- and intermediate-risk endometrial cancers. Given the incidence of SLN metastases is approximately 10% in those patients, SLN mapping may lead to stage shifting with potential therapeutic consequences. Given the high negative predictive value with SLN mapping, routine lymphadenectomy should be omitted in low- and intermediate- risk endometrial cancer.

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

        Rafael Leite Nunes,Flávio Rodrigues Teixeira,Thiago Pereira Diniz,Carlos Chaves Faloppa,Henrique Mantoan,Alexandre Andre Balieiro Anastacio da Costa,Glauco Baiocchi 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.3

        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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