Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
660-01-001 ISMRM Abstract

The Value of Fractional-Order Calculus DWI in the Noninvasive Assessment of Ki-67 Expression in Cervical Cancer

Primary: Diffusion - Diffusion Modeling
Secondary: Body - Pelvis
660-01-001 · A Tour of Body Oncology · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row A
Keywords: Apparent diffusion coefficient Cervical cancer Ki-67 Fractional-Order Calculus DWI
Accepted
Shaomin Li 1, Wenjia Wang2, Meiying Cheng3, Yimeng Cao3, Zhexuan Yang3, Xueyan Liu3
1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
2MR Research Center China, GE HealthCare, China
3The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Presenting Author: Shaomin Li

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References

1. R, D. P., Arunachalam, S., Amitkumar, K., John, J. J., & Sudalaimuthu, M. (2023). An Immunohistochemical Study on Ki-67 Expression in Squamous Cell Carcinomas of Cervix With Clinicopathological Correlation. Cureus, 15(1), e34155. https://doi.org/10.7759/cureus.34155 [doi]
2. Otikovs, M., Nissan, N., Furman-Haran, E., Anaby, D., Allweis, T. M., Agassi, R., Sklair-Levy, M., & Frydman, L. (2021). Diffusivity in breast malignancies analyzed for b > 1000 s/mm2 at 1 mm in-plane resolutions: Insight from Gaussian and non-Gaussian behaviors. Journal of magnetic resonance imaging : JMRI, 53(6), 1913–1925. https://doi.org/10.1002/jmri.27489 [doi]
3. Su, Y., Zeng, K., Yan, Z., Yang, X., Yang, L., Yang, L., Han, R., Huang, F., Deng, H., & Duan, X. (2024). Predicting the Ki-67 proliferation index in cervical cancer: a preliminary comparative study of four non-Gaussian diffusion-weighted imaging models combined with histogram analysis. Quantitative imaging in medicine and surgery, 14(10), 7484–7495. https://doi.org/10.21037/qims-24-576 [doi]
4. Zhang, A., Hu, Q., Song, J., Dai, Y., Wu, D., & Chen, T. (2022). Value of non-Gaussian diffusion imaging with a fractional order calculus model combined with conventional MRI for differentiating histological types of cervical cancer. Magnetic resonance imaging, 93, 181–188. https://doi.org/10.1016/j.mri.2022.08.014 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/660-01-001