Ultrafast Dynamic Contrast-Enhanced MRI of the Breast: From Theory to Practice

Area of Science:

• Radiology
• Medical Imaging
• Oncology

Background:

• Ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI) integrates fast MRI techniques like view-sharing and compressed sensing.
• UF-DCE MRI is transitioning from research to clinical breast cancer protocols.
• It aims to enhance diagnostic specificity by incorporating kinetic information.

Purpose of the Study:

• To review the theoretical and practical aspects of UF-DCE MRI.
• To highlight its role in breast cancer diagnosis and treatment response evaluation.
• To discuss the advantages of UF-DCE MRI over conventional DCE MRI.

Main Methods:

• Integration of view-sharing and compressed sensing for rapid image acquisition.
• Analysis of the time-intensity curve's initial upslope for kinetic parameter extraction.
• Comparison of UF-DCE MRI with conventional DCE MRI regarding image morphology and background parenchymal enhancement (BPE).

Main Results:

• UF-DCE MRI provides kinetic parameters potentially linked to receptor status and prognostic markers.
• It offers improved lesion-to-noise contrast by minimizing BPE, especially in early phases.
• Early-enhancing vessels in UF-DCE MRI reveal detailed tumor-associated vascular structures.
• Hyper-vascularity in UF-DCE MRI correlates with breast cancer aggressiveness and treatment response.

Conclusions:

• UF-DCE MRI enhances breast cancer diagnosis by adding valuable kinetic data and improving image contrast.
• It shows promise in predicting and evaluating treatment response.
• Automated/AI-based processing is beneficial for managing the large data volumes generated by UF-DCE MRI.