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Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
Published on: November 2, 2014
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CT and MRI in Advanced Ovarian Cancer: Advances in Imaging Techniques
Selina Chiu1,2, Yvonne Tsitsiou1,3, Andrea Da Silva3
1Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
Korean Journal of Radiology
|August 28, 2025
Summary
Ovarian cancer (OC) often presents as widespread disease. Advanced imaging like CT and MRI, combined with radiomics, can improve surgical planning and patient outcomes for advanced OC.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Ovarian cancer (OC) is a leading cause of gynecologic cancer mortality, frequently presenting with advanced, disseminated disease.
- Despite current treatments, a significant percentage of high-grade serous OC cases experience early relapse even after optimal primary therapy.
- Current imaging modalities have limitations in detecting small-volume disease and predicting treatment response.
Purpose of the Study:
- To explore the role of advanced imaging techniques, including contrast-enhanced CT (CE-CT), MRI, and radiomics, in evaluating and managing advanced ovarian cancer.
- To assess the potential of integrating these imaging modalities for improved surgical planning and patient prognosis.
Main Methods:
- Review of advances in contrast-enhanced CT (CE-CT) and MRI for ovarian cancer staging and assessment.
- Discussion of the utility of diffusion-weighted imaging and gadolinium-enhanced MRI in detecting peritoneal disease.
- Exploration of radiomics for extracting quantitative features from imaging data to predict treatment response and recurrence risk.
Main Results:
- CT is effective for staging and assessing tumor extent but less sensitive for small peritoneal deposits.
- MRI offers superior soft-tissue contrast for detailed peritoneal disease evaluation and mass characterization.
- Radiomics shows promise in personalizing treatment and identifying high-risk patients, though its predictive capabilities for treatment response and prognosis require further validation.
Conclusions:
- The integration of CT, MRI, and radiomics holds significant potential for enhancing surgical planning in advanced ovarian cancer.
- This multimodal imaging approach could lead to improved long-term survival outcomes for patients with advanced OC.
- Further research is needed to fully leverage radiomics for predicting treatment response and prognosis in ovarian cancer.
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