The Clinical Added Value of Breast Cancer Imaging Using Hybrid PET/MR Imaging
Ismini C Mainta1, Ilektra Sfakianaki2, Isaac Shiri1
1Department of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland.
Magnetic Resonance Imaging Clinics of North America
|September 23, 2023
Summary
Whole-body PET/MR imaging enhances cancer staging by improving primary lesion evaluation and nodal detection. It offers superior accuracy for distant metastasis detection compared to PET/CT, with reduced radiation exposure.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Accurate cancer staging is crucial for effective treatment planning.
- Whole-body positron emission tomography/magnetic resonance (PET/MR) imaging is an emerging technique for comprehensive cancer assessment.
Purpose of the Study:
- To evaluate the performance of dedicated MR imaging and whole-body PET/MR imaging in the initial staging of cancer.
- To compare PET/MR imaging with PET/computed tomography (PET/CT) for staging accuracy and radiation dose.
Main Methods:
- Dedicated MR imaging for primary lesion evaluation.
- Whole-body PET/MR imaging for initial staging, including nodal (N) and distant metastasis (M) assessment.
- Comparison of PET/MR imaging with PET/CT for M staging, considering lung lesions specifically.
Main Results:
- Dedicated MR imaging is highly effective for primary lesion evaluation and should supplement whole-body PET/MR imaging.
- PET/MR imaging demonstrates high sensitivity for nodal involvement, potentially combined with ultrasound for N staging confirmation.
- PET/MR imaging surpasses PET/CT for M staging (except lung lesions) at half the radiation dose.
Conclusions:
- Whole-body PET/MR imaging is a valuable tool for initial cancer staging, offering advantages in primary lesion evaluation, nodal detection, and distant metastasis assessment.
- PET/MR imaging provides high diagnostic performance with reduced radiation exposure compared to PET/CT.
- Future advancements in radiomics and artificial intelligence may further enhance the predictive capabilities of multiparametric PET/MR imaging.
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