ArticleFrontiers in oncology2025
Microstructural diffusion MRI for differentiation of breast tumors and prediction of prognostic factors in breast cancer.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Physics-Assisted Deep Learning Denoising for Stabilized IMPULSED dMRI Microenvironment Parameter Fitting.ArXiv · 2026Article
- Feasibility of predicting breast cancer Ki-67 expression using histogram features derived from time-dependent diffusion magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2026Article
- The value of time-dependent diffusion MRI in nasopharyngeal carcinoma: correlation with prognostic factors.European radiology · 2026Article
- Time-dependent diffusion MRI for non-invasive differentiation of benign and malignant breast lesions and evaluation of proliferation index biomarkers.Breast cancer (Tokyo, Japan) · 2026Article
- Distinguishing Hepatocellular Carcinoma from Cirrhotic Regenerative Nodules Using MR Cytometry.Cancers · 2025Article
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Authors and funding
11 authors.
Funding
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Abstract
Purpose: This study aims to investigate the feasibility of cellular microstructural mapping by the diffusion MRI (IMPULSED, imaging microstructural parameters using limited spectrally edited diffusion) of breast tumors, and further to evaluate whether the MRI-derived microstructural features is associated with the prognostic factors in breast cancer. Materials and methods: This prospective study collected 232 patients with suspected breast tumors from March to August 2023. The IMPULSED MRI scan included acquisitions of diffusion MRI using both pulsed (PGSE) and oscillating (OGSE) gradient spin echo with the oscillating frequencies up to 33 Hz. The OGSE and PGSE data were fitted by the IMPUSLED method using a two-compartment model to estimate mean cell diameter ( Results: 213 patients were finally included and divided into malignant (n=130) and benign (n=83) groups according to the histopathological results. The Conclusion: The IMPULSED method demonstrates promise for characterizing cellular microstructural features in breast tumors, which may be helpful for prognostic risk evaluation in breast cancer.
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