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September 10, 2025Medical Physics

Conventional, time‐dependent, and continuous‐time random‐walk diffusion‐weighted imaging models in microstructural characterization of breast lesions at 3.0T: A prospective analysis

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Authors

XLXue LiYYYinqiao YiYWYanglei Wu

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Overview

Prospective analysis reveals advanced diffusion models enhance differentiation of breast lesions and predict Ki‐67 levels.

Key Points

  • Advanced diffusion models provided significant distinctions between benign and malignant lesions, improving diagnostic accuracy.
  • The combined CTRW metrics demonstrated the highest area under the ROC curve (0.975), outperforming conventional imaging.
  • Microstructural parameters derived from diffusion imaging showed significant association with Ki‐67 expression levels.
  • Further validation in larger cohorts is required to confirm the clinical utility of these diffusion parameters.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68c192659b7b07f3a06175b3https://doi.org/10.1002/mp.17960
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Time-dependent diffusion MRI as in vivo histology: microstructural biomarkers for breast cancer diagnosis and prognostic stratification2026
  2. 2Evaluating the predictive value of dynamic contrast-enhanced MRI and six diffusion models for prognostic factors in mass-type invasive ductal carcinoma of the breast2026
  3. 3Various parameters derived from mono-exponential DWI, IVIM, SEM, DKI and CTRW in breast cancer diagnosis and the prediction of prognostic factors2024
  4. 4Differentiating Benign from Malignant Breast Lesions and Molecular Subtypes Using MRI with a Continuous-Time Random-Walk Diffusion Model2024
  5. 5Diagnostic Performance of Diffusion‐Weighted Imaging for Evaluation of Breast Lesions: Correlation With Prognostic Factors and Histological Phenotypes2026