What question did this study set out to answer?

To comprehensively evaluate and compare the diagnostic utility of continuous-time random walk (CTRW), fractional-order calculus (FROC), and conventional monoexponential diffusion MRI models for preoperative breast lesion characterization.

September 17, 2026Journal of Magnetic Resonance ImagingOpen Access

Comparison of Continuous‐Time Random Walk and Fractional Order Calculus Diffusion Models for Preoperative Breast Lesion Characterization: Diagnosis, Biomarker Prediction and Molecular Subtyping

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Authors

YCYimeng Cao SLShaomin Li ZYZhexuan Yang

Discussion

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Overview

Prospective study demonstrates improved preoperative breast lesion diagnosis and HER2 subtyping using non-Gaussian diffusion MRI models in women, highlighting their clinical value over standard...

Key Points

To comprehensively evaluate and compare the diagnostic utility of continuous-time random walk (CTRW), fractional-order calculus (FROC), and conventional monoexponential diffusion MRI models for preoperative breast lesion characterization.
Prospective evaluation of 189 women (mean age, 47.4 ± 11.2 years) with 238 histopathologically confirmed breast lesions (138 benign, 100 malignant).
Whole-lesion slice-wise segmentations were performed by two independent, blinded breast radiologists to extract diffusion metrics for multiparameter logistic regression models.
Performance was assessed using repeated 5-fold cross-validation and patient-level cluster bootstrap AUC comparisons with Bonferroni-adjusted significance thresholds.
For distinguishing benign from malignant lesions, both CTRW (AUC = 0.928) and FROC (AUC = 0.918) models significantly outperformed the conventional monoexponential model (AUC = 0.865).
For biomarker and subtype prediction, the FROC model achieved the highest performance for HER2 status (AUC = 0.836), and the CTRW model outperformed the monoexponential model for identifying HER2-positive lesions (AUC = 0.848 vs. 0.674).
All evaluated diffusion models demonstrated limited diagnostic performance for triple-negative breast lesions, with cross-validated AUCs remaining ≤ 0.502.

Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/6aabb6e95f706d05830e5b10 https://doi.org/10.1002/jmri.70543

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September 17, 2026Journal of Magnetic Resonance ImagingOpen Access

Comparison of Continuous‐Time Random Walk and Fractional Order Calculus Diffusion Models for Preoperative Breast Lesion Characterization: Diagnosis, Biomarker Prediction and Molecular Subtyping

View Full Paper

Ask AI

Bookmark

Authors

YCYimeng Cao SLShaomin Li ZYZhexuan Yang

Discussion

Member takes

Overview

Prospective study demonstrates improved preoperative breast lesion diagnosis and HER2 subtyping using non-Gaussian diffusion MRI models in women, highlighting their clinical value over standard...

Key Points

To comprehensively evaluate and compare the diagnostic utility of continuous-time random walk (CTRW), fractional-order calculus (FROC), and conventional monoexponential diffusion MRI models for preoperative breast lesion characterization.
Prospective evaluation of 189 women (mean age, 47.4 ± 11.2 years) with 238 histopathologically confirmed breast lesions (138 benign, 100 malignant).
Whole-lesion slice-wise segmentations were performed by two independent, blinded breast radiologists to extract diffusion metrics for multiparameter logistic regression models.
Performance was assessed using repeated 5-fold cross-validation and patient-level cluster bootstrap AUC comparisons with Bonferroni-adjusted significance thresholds.
For distinguishing benign from malignant lesions, both CTRW (AUC = 0.928) and FROC (AUC = 0.918) models significantly outperformed the conventional monoexponential model (AUC = 0.865).
For biomarker and subtype prediction, the FROC model achieved the highest performance for HER2 status (AUC = 0.836), and the CTRW model outperformed the monoexponential model for identifying HER2-positive lesions (AUC = 0.848 vs. 0.674).
All evaluated diffusion models demonstrated limited diagnostic performance for triple-negative breast lesions, with cross-validated AUCs remaining ≤ 0.502.

Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/6aabb6e95f706d05830e5b10 https://doi.org/10.1002/jmri.70543

View Full Paper

Ask AI

Bookmark