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Related Concept Videos

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

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Related Experiment Video

Updated: Jun 1, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

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Published on: December 15, 2014

Exploring shear-wave elastography and apparent diffusion coefficient in breast lesion characterization: diagnostic

Francesco Marcello Aricò1, Antonio Portaluri2, Pasquale Arena2

  • 1BIOMORF Department, Oncologic Imaging Division, University Hospital Policlinico G. Martino, University of Messina, Messina, Italy. france.arico@gmail.com.

La Radiologia Medica
|May 30, 2026
PubMed
Summary
This summary is machine-generated.

Shear-wave elastography (SWE) and diffusion-weighted imaging (DWI)-derived apparent diffusion coefficient (ADC) values are not interchangeable for differentiating breast lesions. ADC showed superior accuracy, while SWE can be a complementary tool.

Keywords:
Apparent diffusion coefficientBreast cancerMRIMultiparametric imagingShear-wave elastographyUltrasound

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Clinical Imaging of Microwave Mammography
05:28

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Last Updated: Jun 1, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Breast lesion characterization is crucial for timely diagnosis and treatment.
  • Distinguishing benign from malignant breast lesions remains a clinical challenge.
  • Advanced imaging techniques like SWE and DWI offer quantitative biomarkers for lesion assessment.

Purpose of the Study:

  • To compare shear-wave elastography (SWE) and diffusion-weighted imaging (DWI)-derived apparent diffusion coefficient (ADC) values in differentiating benign and malignant breast lesions.
  • To assess the correlation and potential interchangeability between SWE and ADC values.
  • To evaluate the diagnostic performance of each imaging biomarker.

Main Methods:

  • Retrospective analysis of 53 female patients with BI-RADS 4 or 5 breast lesions.
  • Quantitative analysis of SWE parameters (Emax, Emean, Emin) and ADC values.
  • Comparison of diagnostic performance using ROC analysis and correlation/interchangeability assessment via Spearman's rank correlation, regression, and Bland-Altman plots.

Main Results:

  • ADC values demonstrated superior diagnostic accuracy (AUC=0.94) compared to SWE Emax (AUC=0.74).
  • Optimal cut-offs were identified for both ADC (<1182 × 10⁻⁶ mm²/s) and SWE Emax (>69.47 kPa).
  • A moderate inverse correlation (ρ=-0.39) was observed between SWE Emax and ADC, but poor agreement indicated limited interchangeability.

Conclusions:

  • Tissue stiffness (SWE) and water molecule diffusivity (ADC) are inversely related.
  • ADC is a more accurate standalone parameter for breast lesion characterization than SWE.
  • SWE can serve as a complementary tool in multiparametric ultrasound approaches for breast lesion assessment.