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Area of Science:

  • Radiology and Medical Imaging
  • Oncology
  • Diagnostic Imaging

Background:

  • Dynamic contrast-enhanced (DCE) MRI has historically been central to breast MRI for lesion differentiation.
  • Advanced techniques like diffusion-weighted MRI and deep learning models are expanding breast MRI capabilities.
  • Increasing use of breast MRI for screening and diagnosis presents operational challenges.

Purpose of the Study:

  • To review key elements of modern breast imaging protocols.
  • To discuss strategies for optimizing breast MRI protocol efficiency and accuracy.
  • To explore emerging technologies and future trends in breast MRI.

Main Methods:

  • Review of current literature and established practices in breast MRI.
  • Analysis of factors contributing to protocol variability.
  • Exploration of advanced imaging techniques and artificial intelligence applications.

Main Results:

  • Breast MRI protocols show significant institutional variability due to technological advancements.
  • Balancing efficiency, accuracy, and resource limitations is crucial for breast imaging centers.
  • Emerging technologies promise to further enhance diagnostic capabilities.

Conclusions:

  • Modern breast MRI protocols require careful consideration of efficiency and accuracy.
  • Protocol optimization strategies are essential to manage increasing patient volumes.
  • Future breast imaging will likely incorporate more advanced techniques and AI-driven solutions.