Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
469-06-009 ISMRM Abstract

Functional MRI-Derived Intra- and Peritumoral Signatures Predict Prognosis in Glioblastoma

Primary: Neuro - Tumors
Secondary: Diffusion - DWI/DTI/DKI
469-06-009 · Radiomics: Applications · Tuesday, 12 May, 4:55 PM–5:50 PM · Digital Posters Row J
Keywords: Radiomics Glioblastoma Survival analysis
Accepted
Xiaorui Su1, Shuang Tang2, Shuang Li2, Qianqian Zheng2,3, Yujiao Deng2, Yuchi Tian4, Qiang Yue2
1Huaxi MR Research Center，Department of Radiology, West China Hospital of Sichuan University, Chendu, China
2West China Hospital of Sichuan University, Chendu, China
3Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
4Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Shanghai, China
Presenting Author: Qiuxing Chen

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Hooper GW, Ginat DT. MRI radiomics and potential applications to glioblastoma. Front Oncol. 2023;13:1134109.
2. Fan H, Luo Y, Gu F, et al. Artificial intelligence-based MRI radiomics and radiogenomics in glioma. Cancer Imaging. 2024;24:36.
3. Duman A, Sun X, Thomas S, et al. Reproducible and interpretable machine learning-based radiomic analysis for overall survival prediction in glioblastoma multiforme. Cancers. 2024;16(19):3351.
4. Wang Z, et al. Radiomics in glioma: emerging trends and challenges. Cancer Imaging. 2025;24:36.
5. Guarnera A, Ius T, Romano A, et al. Advanced MRI, radiomics and radiogenomics in unravelling incidental glioma grading and genetic status: where are we? Medicina. 2025;61(8):1453.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/469-06-009