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Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
Published on: November 2, 2014
12.4K
[Imagerie dans les cancers de l'ovaire]
Audrey Campos1, Camille Villermain-Lécolier1, Marc Bazot2
1Service d'imageries radiologiques interventionnelles et spécialisées, hôpital Tenon, AP-HP, Paris, France.
La Revue Du Praticien
|July 28, 2022
Summary
Imaging ovarian lesions uses a three-pronged approach: pelvic ultrasound, MRI, and CT scans. These methods aid in diagnosis, characterization, and staging of ovarian cancers for better patient management.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Ovarian lesions require accurate imaging for diagnosis and management.
- A multimodal imaging approach is crucial for characterizing ovarian masses.
Purpose of the Study:
- To outline the role of different imaging modalities in evaluating ovarian lesions.
- To describe the diagnostic pathway for ovarian cancer detection and staging.
Main Methods:
- Pelvic ultrasound with Doppler as the first-line examination.
- Magnetic resonance imaging (MRI) with perfusion sequences for complex cases.
- Thoraco-abdominopelvic computed tomography (CT) for staging and extension assessment.
Main Results:
- Endovaginal ultrasound, aided by tools like IOTA group rules and O-RADS US classification, is the initial diagnostic step.
- MRI clarifies undetermined or complex ovarian masses identified on ultrasound.
- CT scans are essential for detecting peritoneal carcinosis and planning surgery in ovarian cancer.
Conclusions:
- A stepwise imaging strategy involving ultrasound, MRI, and CT is vital for comprehensive ovarian cancer evaluation.
- Accurate imaging facilitates precise diagnosis, staging, and surgical planning for ovarian malignancies.
