Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-02-010 ISMRM Abstract

Multiparametric MRI-based radiomics with machine learning for evaluating lymphovascular space invasion in cervical cancer

Primary: Body - Uterus
Secondary: Diffusion - Diffusion Analysis & Visualization
363-02-010 · All About Diffusion · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row D
Keywords: Radiomics Magnetic resonance imaging Machine learning Cervical cancer Lymphovascular space invasion
Accepted
Tianyu Li 1, Mingrui Cui2, Jing Ye1
1Department of Radiology, Northern Jiangsu People’s Hospital, Yangzhou, China
2Department of Radiology, Affiliated Hospital with Yangzhou University, yangzhou, China
Presenting Author: Tianyu Li

Synopsis

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References

1. Yan W, Qiu S, Ding Y, Zhang Q, Si L, Lv S, Liu L. Prognostic value of lymphovascular space invasion in patients with early stage cervical cancer in Jilin, China: A retrospective study. Medicine (Baltimore). 2019 Oct;98(40):e17301. doi: 10.1097/MD.0000000000017301. [doi]
2. Ahn HK, Shin JW, Ahn HY, Park CY, Lee NW, Lee JK, Hwang IC. Metabolic components and recurrence in early-stage cervical cancer. Tumour Biol. 2015 Mar;36(3):2201-7. doi: 10.1007/s13277-014-2831-y. [doi]
3. Kan Y, Dong D, Zhang Y, Jiang W, Zhao N, Han L, Fang M, Zang Y, Hu C, Tian J, Li C, Luo Y. Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer. J Magn Reson Imaging. 2019 Jan;49(1):304-310. doi: 10.1002/jmri.26209. [doi]
4. Wu Q, Wang S, Chen X, Wang Y, Dong L, Liu Z, Tian J, Wang M. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer. Radiother Oncol. 2019 Sep;138:141-148. doi: 10.1016/j.radonc.2019.04.035. [doi]
5. Wang T, Gao T, Guo H, Wang Y, Zhou X, Tian J, Huang L, Zhang M. Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram. Eur Radiol. 2020 Jun;30(6):3585-3593. doi: 10.1007/s00330-019-06655-1. [doi]

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http://echo.ismrm.org/p/ISMRM2026/363-02-010