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Podcast based on: Konidari, M.; Gourtsoyianni, S.; Thomakos, N.; Lymperopoulou, G.; Tzavara, C.; Pergialiotis, V.; Rodolakis, A.; Moulopoulos, L.A.; Bourgioti, C. Prediction of Resectability of Peritoneal Disease in Ovarian Cancer Patients Using the Peritoneal Cancer Index (PCI) and Fagotti Score on MRI. Cancers 2026, 18, 165. https://doi.org/10.3390/cancers18010165
Type: Article | Publication date: 02 January 2026
Summary: Optimal cytoreduction is the strongest prognostic factor in ovarian cancer presenting with peritoneal disease. However, selecting patients for primary cytoreductive surgery versus neoadjuvant chemotherapy remains challenging. In this study, we evaluated the prognostic performance of MRI-based Fagotti score and Peritoneal Cancer Index (PCI) in women with ovarian cancer. Both MRI-based Fagotti score and PCI demonstrated high accuracy for predicting surgical feasibility, with optimal cut-offs (Fagotti ≤ 6, PCI ≤ 20) strongly associated with optimal cytoreduction. These findings suggest that MRI-based scores can serve as an alternative noninvasive tool for guiding treatment decisions and surgical planning in ovarian cancer patients.
Keywords: ovarian cancer; MRI; peritoneal carcinomatosis; cytoreduction; Peritoneal Cancer Index; Fagotti score; Diffusion-Weighted ImagingThis podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.