Ultrafast MRI and diffusion-weighted imaging: a review of morphological evaluation and image quality in breast MRI

Maya Honda1,2, Masako Kataoka3, Mami Iima4,5

  • 1Preemptive Medicine and Lifestyle-Related Disease Research Center, Kyoto University Hospital, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan. mayah.217@gmail.com.

PubMed

Insights

Ultrafast dynamic contrast-enhanced (UF-DCE) MRI and diffusion-weighted imaging (DWI) offer faster, more accurate breast lesion evaluation. These advanced MRI techniques improve efficiency and accessibility, potentially replacing or complementing conventional methods.

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Conventional dynamic contrast-enhanced MRI (DCE-MRI) is standard for breast lesion evaluation but has limitations like long scan times and variable specificity.
  • Emerging techniques, ultrafast DCE-MRI (UF-DCE) and diffusion-weighted imaging (DWI), show promise as alternatives.
  • UF-DCE MRI offers high temporal resolution, reducing artifacts and improving lesion conspicuity.

Purpose of the Study:

  • To review the principles, technological advancements, and clinical applications of UF-DCE MRI and DWI.
  • To emphasize their role in morphological evaluation and image quality for breast imaging.
  • To highlight their potential to improve diagnostic performance, efficiency, and accessibility.

Main Methods:

  • Discussion of advanced acceleration methods in UF-DCE MRI, including view sharing and compressed sensing.
  • Review of DWI advancements, such as readout-segmented echo planar imaging and simultaneous multi-slice techniques.
  • Focus on morphological assessment and image quality improvements in both techniques.

Main Results:

  • UF-DCE MRI enhances temporal resolution and reduces motion artifacts and background enhancement.
  • DWI provides high specificity for differentiating benign from malignant lesions using a contrast-agent-free approach.
  • Advancements in DWI significantly improve spatial resolution and reduce artifacts, enabling better morphological assessment.

Conclusions:

  • UF-DCE MRI and DWI hold potential to replace or complement conventional DCE-MRI, reducing patient burden.
  • These techniques can improve the efficiency and accessibility of breast imaging while maintaining diagnostic accuracy.
  • Future research should focus on protocol optimization and integrating artificial intelligence for enhanced diagnostic performance.

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