Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-04-004 ISMRM Abstract

Evaluating cervical cancer lymph node metastasis: Histogram analysis using CTRW and FROC

Primary: Diffusion - Diffusion Modeling
Secondary: Diffusion - Diffusion Acquisition
563-04-004 · Diffusion MRI and Other Modalities · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row D
Keywords: Lymph node metastasis Cervical cancer Continuous-Time Random Walk Fractional order calculus
Accepted
jiayin pan1,2, wei wei1, bo dai1, Nan Meng1, Baiyan Jiang3, yan bai1, Qianqian Chen4, Xiaoxu Chen5, Meiyun Wang 1,2,6
1Radiology, Henan Provincial People's Hospital, Zhengzhou, China
2Zhengzhou University People’s Hospital, Zhengzhou, China
3Clinical and Technical Support, Philips Healthcare (Beijing), Beijing, China
41. Department of Radiology, Zhengzhou University People’s Hospital, Zhengzhou, China
5Department of Radiology, Zhengzhou University People’s Hospital, Zhengzhou, China
6Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China
Presenting Author: Meiyun Wang

Synopsis

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References

1. Li J, Zhang H, Bei T, et al. Advanced diffusion-weighted MRI models for preoperative prediction of lymph node metastasis in resectable gastric cancer. Abdom Radiol (NY). 2025;50(3):1057-1068. doi:10.1007/s00261-024-04559-3. [doi]
2. Qin Y, Tang C, Hu Q, et al. Assessment of Prognostic Factors and Molecular Subtypes of Breast Cancer With a Continuous-Time Random-Walk MR Diffusion Model: Using Whole Tumor Histogram Analysis. J Magn Reson Imaging. 2023;58(1):93-105. doi:10.1002/jmri.28474. [doi]
3. Fan Z, Guo J, Zhang X, et al. Non-Gaussian diffusion metrics with whole-tumor histogram analysis for bladder cancer diagnosis: muscle invasion and histological grade. Insights Imaging. 2024;15(1):138. doi:10.1186/s13244-024-01701-z. [doi]
4. Feng C, Wang Y, Dan G, et al. Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma. Eur Radiol. 2022;32(2):890-900. doi:10.1007/s00330-021-08203-2. [doi]
5. Wang C, Wang G, Zhang Y, et al. Differentiation of benign and malignant breast lesions using diffusion-weighted imaging with a fractional-order calculus model. Eur J Radiol. 2023;159:110646. doi:10.1016/j.ejrad.2022.110646. [doi]
6. Karaman MM, Tang L, Li Z, Sun Y, et al. In vivo assessment of Lauren classification for gastric adenocarcinoma using diffusion MRI with a fractional order calculus model. Eur Radiol. 2021;31(8):5659-5668. doi:10.1007/s00330-021-07694-3. [doi]
7. Tang L, Zhou XJ. Diffusion MRI of cancer: From low to high b-values. J Magn Reson Imaging. 2019;49(1):23-40. doi:10.1002/jmri.26293. [doi]
8. Li Z, Dan G, Tammana V, et al. Predicting the aggressiveness of peripheral zone prostate cancer using a fractional order calculus diffusion model. Eur J Radiol. 2021;143:109913. doi:10.1016/j.ejrad.2021.10991. [doi]

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http://echo.ismrm.org/p/ISMRM2026/563-04-004