Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
460-04-003 ISMRM Abstract

Can Advanced Diffusion Models of FROC and CTRW Distinguish Luminal Subtype from Non-luminal Breast Cancer?

Primary: Diffusion - Diffusion Modeling
Secondary: Body - Breast
460-04-003 · Breast MRI Sequences and Clinical Developments · Tuesday, 12 May, 2:35 PM–3:30 PM · Digital Posters Row A
Accepted
Huan Chang1, Jiyan Gao 2, Tongli Cao3, Qingshi Zeng4
1Department of Radiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
2Department of Imaging, Shandong First Medical University,The First Affiliated Hospital of Shandong First Medical University, Jinan, China
3iCare Medical Instruments, Beijing, China
4Department of Imaging, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
Presenting Author: Jiyan Gao

Synopsis

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References

1. R. Woodhams, K. Matsunaga, K. Iwabuchi, S. Kan, H. Hata, M. Kuranami, M. Watanabe, K. Hayakawa, Diffusion-Weighted Imaging of Malignant Breast Tumors: The Usefulness of Apparent Diffusion Coefficient (ADC) Value and ADC Map for the Detection of Malignant Breast Tumors and Evaluation of Cancer Extension, Journal of Computer Assisted Tomography 29 (2005) 644–649. https://doi.org/10.1097/01.rct.0000171913.74086.1b. [doi]
2. C. Mao, L. Hu, W. Jiang, Y. Qiu, Z. Yang, Y. Liu, M. Wang, D. Wang, Y. Su, J. Lin, X. Yan, Z. Cai, X. Zhang, J. Shen, Discrimination between human epidermal growth factor receptor 2 (HER2)-low-expressing and HER2-overexpressing breast cancers: a comparative study of four MRI diffusion models, Eur Radiol (2023). https://doi.org/10.1007/s00330-023-10198-x. [doi]
3. M. Du, D. Zou, P. Gao, Z. Yang, Y. Hou, L. Zheng, N. Zhang, Y. Liu, Evaluation of a continuous‐time random‐walk diffusion model for the differentiation of malignant and benign breast lesions and its association with Ki‐67 expression, NMR in Biomedicine 36 (2023) e4920. https://doi.org/10.1002/nbm.4920. [doi]
4. M.M. Karaman, Y. Sui, H. Wang, R.L. Magin, Y. Li, X.J. Zhou, Differentiating low- and high-grade pediatric brain tumors using a continuous-time random-walk diffusion model at high b -values: Pediatric Brain Tumors Using a CTRW Diffusion Model, Magn. Reson. Med. 76 (2016) 1149–1157. https://doi.org/10.1002/mrm.26012. [doi]
5. M.M. Karaman, J. Zhang, K.L. Xie, W. Zhu, X.J. Zhou, Quartile histogram assessment of glioma malignancy using high b ‐value diffusion MRI with a continuous‐time random‐walk model, NMR in Biomedicine 34 (2021) e4485. https://doi.org/10.1002/nbm.4485. [doi]
6. Y. Qin, C. Tang, Q. Hu, J. Yi, T. Yin, T. Ai, Assessment of Prognostic Factors and Molecular Subtypes of Breast Cancer With a CONTINUOUS‐TIME RANDOM‐WALK MR Diffusion Model: Using Whole Tumor Histogram Analysis, Magnetic Resonance Imaging (2022) jmri.28474. https://doi.org/10.1002/jmri.28474. [doi]
7. S. Bickelhaupt, F. Steudle, D. Paech, A. Mlynarska, T.A. Kuder, W. Lederer, H. Daniel, M. Freitag, S. Delorme, H.-P. Schlemmer, F.B. Laun, On a fractional order calculus model in diffusion weighted breast imaging to differentiate between malignant and benign breast lesions detected on X-ray screening mammography, PLoS ONE 12 (2017) e0176077. https://doi.org/10.1371/journal.pone.0176077. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/460-04-003