Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
366-01-013 ISMRM Abstract

Multimodal Associations among Brain Structure, Radiomics, and Cognition in Cerebral Small Vessel Disease

Primary: Analysis Methods - Radiomics
Secondary: Neuro - Blood Vessels
366-01-013 · Cerebral Small Vessel Disease: Imaging Biomarkers, Pathophysiology, and Clinical Impact · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row G
Keywords: Radiomics Cerebral small vessel disease Cognitive assessment
Accepted
Wei Zheng 1, Bingqin Huang1, Siyu Dai2, Xiaoyan Qin1, Jian Lv1, Yulin Feng1, Xiqi Zhu3, Yongzhou Xu4, XIAOMIN LIU4, Zhixuan Song4, Ronghua Mu1
1Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
2Graduate School, Guilin Medical University, Guilin, China
3Department of Radiology, Affiliated Hospital of Youjiang Medical university for Nationalities, Baise, China
4Clinical and Technical Support, Philips Healthcare (Guangzhou), Guangzhou, China
Presenting Author: Wei Zheng

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. Markus HS, Joutel A. The pathogenesis of cerebral small vessel disease and vascular cognitive impairment. Physiol Rev. 2025;105(3):1075-1171. doi:10.1152/physrev.00028.2024 [doi]
2. De Guio F, Duering M, Fazekas F, et al. Brain atrophy in cerebral small vessel diseases: Extent, consequences, technical limitations and perspectives: The HARNESS initiative. J Cereb Blood Flow Metab. 2020;40(2):231-245. doi:10.1177/0271678X19888967 [doi]
3. Huang L, Li Z, Zhu X, et al. Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study. NPJ Digit Med. 2025;8(1):444. Published 2025 Jul 15. doi:10.1038/s41746-025-01813-w [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/366-01-013