366-01-011 ISMRM Abstract

HIV-Associated Arterial Remodeling Phenotypes Differ Based on Comorbid CSVD Status: ArteryX and iCafe analysis

Primary: Analysis Methods - Classification and Prediction

Secondary: Neuro - Blood Vessels

366-01-011 · Cerebral Small Vessel Disease: Imaging Biomarkers, Pathophysiology, and Clinical Impact · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row G

Keywords: Cerebral small vessel disease Magnetic resonance angiography HIV Unsupervised machine learning Artery

Accepted

Abrar Faiyaz¹, Nhat Hoang¹, Emmanuel A Mensah ¹, Neda Ramezani¹, Giovanni Schifitto¹, Md Nasir Uddin¹

¹University of Rochester, Rochester, United States of America

Presenting Author: Emmanuel A Mensah

Synopsis

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References

1. S. Nightingale et al., “Cognitive impairment in people living with HIV: consensus recommendations for a new approach,” Nat Rev Neurol, vol. 19, no. 7, pp. 424–433, July 2023, doi: 10.1038/s41582-023-00813-2. [doi]

2. R. Sanford et al., “HIV infection and cerebral small vessel disease are independently associated with brain atrophy and cognitive impairment,” AIDS, vol. 33, no. 7, pp. 1197–1205, June 2019, doi: 10.1097/QAD.0000000000002193. [doi]

3. Y. Shi and J. M. Wardlaw, “Update on cerebral small vessel disease: a dynamic whole-brain disease,” Stroke Vasc Neurol, vol. 1, no. 3, pp. 83–92, Sept. 2016, doi: 10.1136/svn-2016-000035. [doi]

4. Spagnolo-Allende A, Gutierrez J. Role of Brain Arterial Remodeling in HIV-Associated Cerebrovascular Outcomes. Frontiers in neurology. 2021;12:593605. Epub 20210622. doi: 10.3389/fneur.2021.593605. PubMed PMID: 34239489; PMCID: PMC8258100. [doi] [pmid]

5. L. Chen et al., “Development of a quantitative intracranial vascular features extraction tool on 3D MRA using semiautomated open-curve active contour vessel tracing,” Magn Reson Med, vol. 79, no. 6, pp. 3229–3238, June 2018, doi: 10.1002/mrm.26961. [doi]

6. A. Faiyaz, N. Hoang, G. Schifitto, and M. N. Uddin, “ArteryX: Advancing brain artery feature extraction with vessel-fused networks and a robust validation framework.” 2025. [Online]. Available: https://arxiv.org/abs/2507.07920

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/366-01-011