Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

Cerebral Small Vessel Disease: Imaging Biomarkers, Pathophysiology, and Clinical Impact

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Cerebral Small Vessel Disease: Imaging Biomarkers, Pathophysiology, and Clinical Impact
Digital Poster
Neuro A
Monday, 11 May 2026
Digital Posters Row G
08:20 - 09:15
Session Number: 366-01
No CME/CE Credit
This session highlights the pathophysiology of cerebral small vessel disease, including cerebral amyloid angiopathy, using a range of imaging modalities; topics include oxygen extraction fraction, lesion segmentation, and clinical management.
Skill Level: Intermediate

  Figure 366-01-001.  Association of Oxygen Extraction Fraction in Grey Matter Nuclei with Cognitive Impairment in Cerebral Small Vessel Disease
Boyao Chen, Meng Li, Yi Wang, Qihao Zhang, Zhenyu Cheng, Yiwen Chen, Pengcheng Liang, Xinxin Huo, Fushuai Zhang, Jiaxiang xin, Changhu Liang, Lingfei Guo
Shandong Provincial Hospital Affiliated to Shandong First Medical University (Shandong Provincial Hospital), Jinan, China
Impact: Highlights the clinical relevance of elevated deep nuclei OEF in CSVD, linking cerebrovascular metabolic dysfunction to cognitive deterioration. It provides a potential neuroimaging biomarker for early identification of cognitive impairment.
  Figure 366-01-002.  Voxel-wise oxygen extraction fraction mapping tracks cognition and longitudinal change in cerebral small vessel disease
Chaofan Sui, Meng Li, Qihao Zhang, Kelly Gillen, Jing Li, Changhu Liang, Lingfei Guo, Junfang Xian
Beijing Tongren Hospital, Beijing, China
Impact: Oxygen extraction fraction (OEF) provides a metabolism-sensitive, implementable MRI metric to assess disease activity and monitor trajectories in CSVD-related cognitive impairment.
  Figure 366-01-003.  Subregional Cerebral Blood Flow Alterations and Their Cognitive Relevance in Cerebral Small Vessel Disease: Insights from ASL
Xianqi Chen, Chen Li, Yingjie Wang, Shurong Wu, Boyao Chen, Xinxin Huo, Jiaxiang xin, Meng Li, Lingfei Guo, Changhu Liang
Shandong Provincial Hospital Affiliated to Shandong First Medical University (Shandong Provincial Hospital), Jinan, China
Impact: ASL-based subregional CBF mapping reveals region-specific hyperperfusion linked to cognitive impairment in CSVD. These findings support quantitative CBF as a potential biomarker for detecting early cognitive risk and guiding targeted perfusion monitoring in clinical practice.
  Figure 366-01-004.  Following the curvature: sulcal versus gyral cortical localization of cerebral microbleeds in Cerebral Amyloid Angiopathy
Manon Schipper, Thijs van Harten, Emma Koemans, Jelle Goeman, Marieke Wermer, Matthias van Osch, Marianne AA van Walderveen
Leiden University Medical Center, Leiden, Netherlands
Impact: Assessment of cerebral microbleed distribution along the cortex showed sulcal CMB predominance in Cerebral Amyloid Angiopathy, indicating variations in hemorrhagic vulnerability along the cortex related to the gyrencephalic structure of the cortex, hinting towards effects of inflammation and CSF-flow dynamics.
  Figure 366-01-005.  Transcriptomic Signatures of Gray Matter Volume Loss in Cerebral Small Vessel Disease
liangping ni, Li Xiang, Dai Zhang, Jun Zhang, Mengxiao Liu, Longsheng Wang
the Second Affiliated Hospital of Anhui Medical University, Hefei, China
Impact: This study uncovers molecular drivers of WMH-related GMV loss, aiding CSVD mechanism research, targeted therapy, and early detection.
  Figure 366-01-006.  Systolic Blood Pressure Time in Target Range and Cerebral Small Vessel Disease
GuanMing Ji, Xiaoshuai Li, Boyan Xu
Shengli Oilfield Central Hospital, shandong province, China
Impact: To investigate the association between SBP-TTR and the risk of CSVD in hypertensive patients, aiming to provide new evidence for assessing the quality of blood pressure management and for the prevention and control of CSVD.
  Figure 366-01-007.  The Predictive Value of Blood Biomarkers for Recent Small Subcortical Infarction​ in Cerebral Small Vessel Disease​
Ting Zhuang, Lu Han, Yuqin Zhang
Ningbo Medical Center LiHuiLi Hospital, Ningbo, China
Impact: The biomarkers monitored in this study may help understand the pathophysiological mechanisms behind RSSI and provide potential targets for early intervention or risk stratification in patients with RSSI.
  Figure 366-01-008.  Deep Gray Matter Susceptibility Changes in Cerebral Small Vessel Disease: A 7T QSM Study
Yue Yuan, Shuai Jiang, Youjie Wang, Huilou Liang, Michela Tosetti, Marta Lancione, Siyi Li, Jiaxin Zeng, Lu Tang, Pengfei Peng, Jiayu Sun, Su Lui, Bo Wu
West China Hospital of Sichuan University, Chengdu, China
Impact: These findings establish subregional QSM signatures as presymptomatic CSVD biomarkers, enabling risk stratification before clinical symptoms. The demonstrated superiority of combined susceptibility-structural imaging supports multimodal early detection approaches, potentially opening therapeutic windows for preventive interventions in high-risk populations.
  Figure 366-01-009.  Associations of lenticulostriate artery morphology with aging, vascular risk factors, and cognition: a 7T MRI study
Jianing Tang, Yining He, Tarin Tanji, Michael Anukwu, Elizabeth Joe, Helena Chui, Lirong Yan
Northwestern University, Chicago, United States of America
Impact: This study highlights potential of 7T TOF MRI to characterize LSA geometry and its relationship with vascular health and cognition. Our findings provide early evidence linking LSA geometry alterations to vascular risk factors and cognition, enhancing our understanding of cSVD.
  Figure 366-01-010.  Disentangling MRI-derived blood-brain barrier leakage into vascular permeability and surface area
Damon Verstappen, Joost de Jong, Paulien Voorter, Maud van Dinther, Robert van Oostenbrugge, Julie Staals, Jacobus Jansen, Walter Backes
Maastricht University Medical Center (MUMC+), Maastricht, Netherlands
Impact: The conventional MRI-derived blood-brain barrier leakage rate can be separated into intrinsic vascular permeability and vascular surface area by combining dynamic contrast-enhanced MRI and vessel architecture imaging. These components display opposite behavior in brain pathology and aging.
  Figure 366-01-011.  HIV-Associated Arterial Remodeling Phenotypes Differ Based on Comorbid CSVD Status: ArteryX and iCafe analysis
Abrar Faiyaz, Nhat Hoang, Emmanuel Mensah, Neda Ramezani, Giovanni Schifitto, Md Nasir Uddin
University of Rochester, Rochester, United States of America
Impact: HIV-associated cerebrovascular remodeling is strongly modulated by CSVD status. We identify two distinct phenotypes: distal MCA changes in CSVD- subjects and proximal artery changes in CSVD+ subjects, suggesting different injury pathways and highlighting pipeline-specific sensitivity.
  Figure 366-01-012.  Automated versus Radiologist Assessment of cerebral small vessel disease Biomarkers on Deep Learning-Accelerated 3D MRI
Weiyin Vivian Liu, Meng Zhang, Xiaokang Wang, Chuyi Zheng, Yong Zhu
MR Research, GE HealthCare, Beijing, China
Impact: This accelerated high-resolution MRI protocol reduces scan times by over 50% while maintaining diagnostic quality, enabling efficient clinical adoption with reliable automated quantification of cerebral small vessel disease biomarkers.
  Figure 366-01-013.  Multimodal Associations among Brain Structure, Radiomics, and Cognition in Cerebral Small Vessel Disease
Wei Zheng, Bingqin Huang, Siyu Dai, Xiaoyan Qin, Jian Lv, Yulin Feng, Xiqi Zhu, Yongzhou Xu, XIAOMIN LIU, Zhixuan Song, Ronghua Mu
Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
Impact: Radiomic features, particularly wavelet_LLL_glcm_Imc2, provide interpretable, high-accuracy biomarkers for CSVD-related cognitive impairment, supporting early diagnosis, mechanistic understanding, and personalized clinical decision-making.
  Figure 366-01-014.  Thalamic subregional volume alterations in metabolic syndrome and their relationships with blood biomarkers and motor functio
Yingjie Wang, Yiwen Chen, Zhenyu Cheng, Pengcheng Liang, Xinxin Huo, Fushuai Zhang, Boyao Chen, Shurong Wu, Chen Li, Xianqi Chen, Meng Li, Jiaxiang Xin, Lingfei Guo, Changhu Liang
Shandong Provincial Hospital Affiliated to Shandong First Medical University (Shandong Provincial Hospital), Jinan, China
Impact: This study demonstrates that metabolic syndrome is linked to selective atrophy of the right lateral geniculate nucleus(LGN), associated with blood biomarkers and motor slowing, suggesting a potential MRI biomarker for early detection of metabolic-related brain alterations.
  Figure 366-01-015.  The importance of accounting for hormonal fluctuations in neurofluid imaging: BOLD-CSF coupling relates to estradiol levels
Merel van der Thiel, Noa van der Knaap, Brendan Williams, Joana Pinto, Laura Lewis
Maastricht University Medical Center, Maastricht, Netherlands
Impact: By identifying estrogen-related variations in BOLD-CSF coupling, this study highlights the effect of hormonal fluctuations on neurofluid dynamics. Thereby, this study emphasizes the importance of considering hormonal influences in neurofluid research and their potential role in altered waste clearance.

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