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Related Concept Videos

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  3. Histogram Analysis Comparison Of Readout-segmented And Single-shot Echo-planar Imaging For Differentiating Luminal From Non-luminal Breast Cancer.
  1. Home
  3. Histogram Analysis Comparison Of Readout-segmented And Single-shot Echo-planar Imaging For Differentiating Luminal From Non-luminal Breast Cancer.

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Histogram analysis comparison of readout-segmented and single-shot echo-planar imaging for differentiating luminal

Yiqi Hu1, Qilan Hu1, Zhiqiang Liu1

  • 1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.

Scientific Reports
|May 27, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study found that readout-segmented echo-planar imaging (rs-EPI) diffusion-kurtosis imaging (DKI) metrics, particularly MK75th, are superior to single-shot echo-planar imaging (ss-EPI) for differentiating luminal from non-luminal breast cancer.

Keywords:
LuminalMagnetic resonance imagingNon-luminalRs-EPISs-EPI

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Distinguishing between luminal and non-luminal breast cancer subtypes is crucial for treatment selection.
  • Diffusion-weighted imaging (DWI) and diffusion-kurtosis imaging (DKI) offer insights into tissue microstructure.
  • Comparing different DWI acquisition techniques, such as single-shot echo-planar imaging (ss-EPI) and readout-segmented echo-planar imaging (rs-EPI), is important for optimizing diagnostic performance.

Purpose of the Study:

  • To compare the efficacy of DKI and DWI parameters derived from ss-EPI and rs-EPI sequences in differentiating luminal from non-luminal breast cancer using histogram analysis.
  • To identify which imaging sequence and histogram metric provides the best diagnostic performance for breast cancer subtyping.

Main Methods:

  • 160 women with breast lesions (111 luminal, 49 non-luminal) underwent both ss-EPI and rs-EPI DWI sequences on a 3.0T scanner.
  • Histogram metrics, including mean kurtosis (MK), mean diffusion (MD), and apparent diffusion coefficient (ADC), were calculated.
  • Statistical analyses (t-test, Mann-Whitney U) and ROC curve analysis were used to evaluate diagnostic performance.

    • Main Results:

    • Luminal breast cancer showed significantly higher MKmean, MK50th, and MK75th values compared to non-luminal breast cancer for both DWI sequences (P<0.05).
    • The rs-EPI sequence demonstrated superior diagnostic performance over the ss-EPI sequence in differentiating breast cancer subtypes.
    • MK75th derived from rs-EPI was the most effective single metric, achieving an AUC of 0.891, with 78.4% sensitivity and 87.8% specificity.

    Conclusions:

    • Histogram metrics derived from DKI, particularly MK, show promise in differentiating luminal from non-luminal breast cancer.
    • The rs-EPI acquisition technique offers improved diagnostic performance compared to ss-EPI for this differentiation.
    • MK75th from rs-EPI is a highly valuable metric for distinguishing between luminal and non-luminal breast cancer subtypes.