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Updated: Mar 9, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Breast density estimation from high spectral and spatial resolution MRI.

Hui Li1, William A Weiss1, Milica Medved1

  • 1University of Chicago , Department of Radiology, 5841 South Maryland Avenue, MC 2026, Chicago, Illinois 60637, United States.

Journal of Medical Imaging (Bellingham, Wash.)
|January 3, 2017
PubMed
Summary
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A new 3D breast density estimation method using high spectral and spatial resolution (HiSS) MRI shows high reproducibility. This objective metric may aid breast cancer risk assessment and therapy monitoring.

Area of Science:

  • Radiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Accurate breast density estimation is crucial for breast cancer risk assessment.
  • Current methods may have limitations in objectivity and reproducibility.
  • High spectral and spatial resolution (HiSS) MRI offers potential for advanced quantitative analysis.

Purpose of the Study:

  • To develop and validate a novel 3D breast density estimation method using HiSS MRI.
  • To assess the reproducibility (inter- and intra-user variability) of the HiSS-based method.
  • To compare HiSS-derived breast density with radiologist BI-RADS density ratings.

Main Methods:

  • Developed an algorithm for 3D breast density estimation from HiSS MRI data, including breast mask generation, skin removal, and percentage density calculation.
Keywords:
SENSE accelerationbreast cancer screening and diagnosisbreast density measurementecho planar spectroscopic imaginghigh spatial and spectral resolution MRI

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  • Recruited 22 high-risk patients undergoing screening, obtaining standard mammograms, MR scans, and HiSS scans.
  • Utilized correlation analysis and limits of agreement to evaluate inter- and intra-user variability and compare with BI-RADS ratings.

    • Main Results:

    • Achieved a high correlation coefficient (0.91) between left and right breast density estimations.
    • Demonstrated excellent inter-user reliability with an interclass correlation coefficient of 0.99.
    • Observed a moderate correlation coefficient (0.55) between HiSS-based density and radiologist BI-RADS assessments.

    Conclusions:

    • An objective 3D breast density estimation method using HiSS MRI spectral data was successfully developed.
    • The method exhibits high reproducibility with low inter- and intra-user variability.
    • This HiSS-based density metric shows potential utility in breast cancer risk assessment and monitoring therapy effects.