Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
364-02-001 ISMRM Abstract

Differentiating glioma recurrence from Pseudoprogression Using Multi-Model Parameters Derived from DKI Sequences

Primary: Neuro - Tumors
Secondary: Diffusion - Diffusion Modeling
364-02-001 · Innovations in Brain Tumor Imaging: Quantitative MRI, Radiogenomics, and Deep-Learning Approaches · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row E
Keywords: Glioma Neoplasm Recurrence DKI Neurite orientation dispersion and density imaging Pseudoprogression
Accepted
Yujie Chen 1, Peiquan liu1, xiaoxiao zhang2,3, Jiaxuan Zhang1, Wenzhen Zhu1
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1095, Wuhan, China
2Clinical Science, Philips Healthcare, Chengdu, China
3Clinical and Technical Support, Philips Healthcare (Beijing), Beijing, China
Presenting Author: Yujie 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. Chu J-P, Song Y-K, Tian Y-S, et al. Diffusion kurtosis imaging in evaluating gliomas: Different region of interest selection methods on time efficiency, measurement repeatability, and diagnostic ability. Eur Radio 2021;31(2):729–739. doi: 10.1007/s00330-020-07204-x. [doi]
2. Caverzasi E, Papinutto N, Castellano A, et al. Neurite orientation dispersion and density imaging color maps to characterize brain diffusion in neurologic disorders. J Neuroimaging: Off J Am Soc Neuroimaging 2016;26(5):494–498. doi: 10.1111/jon.12359. [doi]
3. Kadota Y, Hirai T, Azuma M, et al. Differentiation between glioblastoma and solitary brain metastasis using neurite orientation dispersion and density imaging. J Neuroradiol = J Neuroradiol 2020;47(3):197–202. doi: 10.1016/j.neurad.2018.10.005. [doi]
4. He L, Chen M, Li H, et al. Differentiation between high-grade gliomas and solitary brain metastases based on multidiffusion MRI model quantitative analysis. Front Oncol 2024;14. doi: 10.3389/fonc.2024.1401748. [doi]
5. Shi W, Qu C, Wang X, et al. Diffusion kurtosis imaging combined with dynamic susceptibility contrast-enhanced MRI in differentiating high-grade glioma recurrence from pseudoprogression. Eur J Radiol 2021;144:109941. doi: 10.1016/j.ejrad.2021.109941. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/364-02-001