Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
463-05-006 ISMRM Abstract

Comparison of Conventional ADC Values and Params of FROC Model in Predicting Breast Lesion Benign/Malignant

Primary: Diffusion - Diffusion Modeling
Secondary: Analysis Methods - Classification and Prediction
463-05-006 · Malignant Tumor in the Body · Tuesday, 12 May, 4:00 PM–4:55 PM · Digital Posters Row D
Keywords: Breast cancer Magnetic Resonance Imaging (MRI) Diffusion magnetic resonance imaging Fractional order calculus (FROC)
Accepted
Yimeng Cao 1, Shaomin Li2, Zhexuan Yang1, Xueyan Liu1, Meiying Cheng1, Xin Zhao1, Wenjia Wang3
1The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
2Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
3MR Research Center China, GE HealthCare, China
Presenting Author: Yimeng Cao

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References

1. Cho, N. Breast Diffusion-weighted MR Imaging: Current Applications, Insights from Screening, and Future Directions. MRMS 24, 300–314 (2025).
2. Houssami, N., Turner, R. M. & Morrow, M. Meta-analysis of pre-operative magnetic resonance imaging (MRI) and surgical treatment for breast cancer. Breast Cancer Res Treat 165, 273–283 (2017).
3. Wang, C. et al. Differentiation of benign and malignant breast lesions using diffusion-weighted imaging with a fractional-order calculus model. European Journal of Radiology 159, 110646 (2023).
4. Wang, F. et al. Value of fractional-order calculus (FROC) model diffusion-weighted imaging combined with simultaneous multi-slice (SMS) acceleration technology for evaluating benign and malignant breast lesions. BMC Med Imaging 24, 190 (2024).
5. Tang, C. et al. Comparison of continuous-time random walk and fractional order calculus models in characterizing breast lesions using histogram analysis. Magnetic Resonance Imaging 108, 47–58 (2024).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/463-05-006