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Updated: Feb 8, 2026

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
Published on: November 2, 2014
Imaging strategy in recurrent ovarian cancer: a practical review
Lucia Manganaro1, Silvia Gigli2, Amanda Antonelli2
1Department of Radiological, Oncological and Pathological Science, Umberto I Hospital, "La Sapienza" University of Rome, Viale Regina Elena 324, 00161, Rome, Italy. lucia.manganaro@uniroma1.it.
Abstract:
Ovarian cancer is one of the most aggressive gynaecologic malignancies in women worldwide. The lack of proper screening programs and the characteristic abdominal spreading with minimal clinical symptoms give rise of its high lethality. Most patients show advanced disease at diagnosis and have a poor prognosis. The surveillance of ovarian cancer patients after initial treatment is a challenging question in clinical practice and there is no consensus in literature about the most appropriate follow-up strategy for these women. The role of Imaging has become increasingly important, allowing to properly monitor patients, distinguishing the different relapse patterns, thus guiding the correct management and therapy. In this review, we report and analyze the scientific evidence about the role of the different imaging modalities now available in the follow-up strategy and management of Epithelial Ovarian Cancer patients with recurrent disease.
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