Keun-Hwa Jung (Korea, Republic of)
Seoul National University Hospital
Neurology
Education (Degree) 1. Ph.D. (March 2005-August 2009): Seoul National University, College of Medicine, Seoul, Republic of Korea 2. M.D. (March 1996 – February 2000): Seoul National University, College of Medicine, Seoul, Republic of Korea. Professional Experience 1. Professor: Department of Neurology, Seoul National University Hospital, Seoul, Korea 2. Visiting professor (Dec 2018 – Dec 2019): Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard University, Boston, MA, USA 3. Neurology Residency (May 2001 – February 2005): Department of Neurology, Seoul National University Hospital, Seoul, Korea 4. Internship (May 2000 – February 2001): Seoul National University Hospital, Seoul, Korea - World Stroke Organization, Board of Directors, Asian Section - Korean Stroke Society: Director of Scientific Program Committee - Korean Vascular Cognitive Impairment Research Group: Director, Scientific Committee - Korean Neurosonology Society: Board of Directors

Presenter of 1 Presentation

 Conference Calendar

SUBTYPES AND UNIQUE CLINICAL MARKERS OF CEREBRAL SMALL VESSEL DISEASE

Session Name
0180 - Small Vessel Disease (ID 97)
Session Type
Oral Presentations
Date
27.10.2021, Wednesday
Session Time
09:50 - 10:00
Room
ORAL PRESENTATIONS 3
Presenter
Lecture Time
09:50 - 10:00

Abstract

Background and Aims

Radiological markers for cerebral small vessel disease (SVD) may have different biological underpinnings in their pathophysiology. However, there is no effective tool to individually categorize SVD. The relationships between white matter signal abnormalities (WMSA) features, lacunes, cerebral microbleeds (CMB) and enlarged perivascular space (EPVS) were quantified to categorize the phenotypes of SVD.

Methods

Data were acquired from healthy individuals who underwent comprehensive brain examinations for a health check-up program at a tertiary center. Among 647 individuals, 611 aged > 40 years were included after excluding 36 with minimal WMSA volume. The WMSA, lacunes, CMB and EPVS were quantified automatically or manually. The WMSA were classified by the number and size of non-contiguous lesions, distribution, and contrast. An algorithm with WMSA class and its interaction with other SVD markers was constructed to categorize individuals into distinct ‘types’ of SVD. Clinical and laboratory variability were determined across the individual SVD types.

Results

Type A was characterized by multiple, small, deep WMSA but a low burden of lacunes and deep CMB; Type B had large periventricular WMSA and a high burden of lacunes and deep CMB; and Type C had restricted juxtaventricular WMSA and lacked lacunes and deep CMB. Type B was associated with an older age and a higher prevalence of hypertension and diabetes. Smoking and high uric acid levels were associated with an increased risk of type A.

Conclusions

The heterogeneity of SVD was categorized into three types with distinct clinical correlates. This new categorization will improve our understanding of SVD pathophysiology, risk stratification and outcome prediction.

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