Assessment of Prognostic Factors and Molecular Subtypes of Breast Cancer With a Continuous‐Time Random‐Walk MR Diffusion Model: Using Whole Tumor Histogram Analysis
Author:
Affiliation:
1. Department of Radiology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China
2. MR Collaborations Siemens Healthineers Ltd. Chengdu China
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28474
Reference35 articles.
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2. Histogram analysis of quantitative parameters from synthetic MRI: Correlations with prognostic factors and molecular subtypes in invasive ductal breast cancer;Li Q;Eur J Radiol,2021
3. Diffusion‐weighted imaging features of breast tumours and the surrounding stroma reflect intrinsic heterogeneous characteristics of molecular subtypes in breast cancer;Fan M;NMR Biomed,2018
4. Preoperative assessment of microvascular invasion of hepatocellular carcinoma using non‐Gaussian diffusion‐weighted imaging with a fractional order calculus model: A pilot study;Chen J;Magn Reson Imaging,2021
5. DWI and IVIM are predictors of Ki67 proliferation index: Direct comparison of MRI images and pathological slices in a murine model of rhabdomyosarcoma;Yuan Y;Eur Radiol,2020
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4. Editorial for “Assessment of Prognostic Factors and Molecular Subtypes of Breast Cancer With aContinuous‐Time Random‐Walk MRDiffusion Model: Using Whole Tumor Histogram Analysis”;Journal of Magnetic Resonance Imaging;2022-10-07
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