Ten Year Increases in White Matter Hyperintensity Volume Correlates with the Severity of Ongoing Blood Brain Barrier Permeability when Measured with Dynamic Susceptibility Contrast MRI
Abstract Body: Introduction: Blood-brain barrier (BBB) dysfunction is increasingly recognized as a key factor in the pathogenesis of cerebral small vessel disease (cSVD). Typical brain Magnetic Resonance Imaging (MRI) findings of cSVD include white matter hyperintensities (WMH). Based on their anatomical locations, WMH can be classified as Periventricular WMH (PVWMH), which are immediately adjacent to the ventricles, or deep WMH (DWMH), which are subcortical. This study aimed to investigate the relationship between BBB permeability as measured by Dynamic Susceptibility Contrast (DSC) MRI, and changes in total WMH, PVWMH, and DWMH volume over 10-13 years in asymptomatic individuals enriched for vascular risk factors. Hypothesis: Higher K2 measurements, which reflect leakage of contrast due to increased BBB permeability, derived from second MRI will corelate with increases in WMH, DWMH, and PVWMH volume that occurred over the previous decade. Methods: We included 100 volunteers from GeneSTAR, an ongoing family-based study of families enriched for vascular risk factors and cardiovascular disease, age = 63.3 ± 9.5 years, 60% females, 63% Hypertension, 22% African Americans. Two MRI’s were obtained 10-13 years apart using 3T scanners. At each visit total WMH, PVWMH and DWMH volumes were determined using automated software with consistent co-registration (Figure 1). K2 was measured for each individual by averaging the highest 100 voxels (hotspots) within the regions of interest in each individual lesion using a gadolinium-based DSC-MRI at the second visit (Figure 2). Linear regression models used to analyze the relationship between K2 and volume changes in total WMH, PVWMH, and DWMH, adjusting for age, systolic blood pressure, race, sex, and education. Results: Positive correlations between K2 at time point two and changes in volume were statistically significant for total WMH (R-squared = 0.497, p = 0.006), PVWMH (R-squared = 0.461, p = 0.0085), but did not reach significance for DWMH (R-squared = 0.394, p = 0.08) (Figure 3). Conclusion: The robust correlation between K2 and overall WMH volume change underscores the potential of K2 as a biomarker for monitoring ongoing disease activity for subclinical cerebrovascular changes in at-risk populations.
Sasannia, Sarvin
( Johns Hopkins School of Medicine
, Maryland
, Maryland
, United States
)
Vaidya, Dhananjay
( Johns Hopkins School of Medicine
, Baltimore
, Maryland
, United States
)
Van Zijl, Peter
( F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute
, Baltimore
, Maryland
, United States
)
Knutsson, Linda
( Johns Hopkins School of Medicine
, Maryland
, Maryland
, United States
)
Nyquist, Paul
( Johns Hopkins School of Medicine
, Baltimore
, Maryland
, United States
)
Leigh, Richard
( Johns Hopkins School of Medicine
, Maryland
, Maryland
, United States
)
Wang, Shimeng
( Johns Hopkins University School of Medicine
, Baltimore
, Maryland
, United States
)
Matsyuk, Mykola
( Johns Hopkins School of Medicine
, Baltimore
, Maryland
, United States
)
Zhang, Jinwei
( Johns Hopkins University
, Baltimore
, Maryland
, United States
)
Shin, Hyeong-geol
( Johns Hopkins School of Medicine
, Baltimore
, Maryland
, United States
)
Prince, Jerry
( Johns Hopkins University
, Baltimore
, Maryland
, United States
)
Becker, Lewis
( Johns Hopkins School of Medicine
, Baltimore
, Maryland
, United States
)
Yanek, Lisa
( Johns Hopkins School of Medicine
, Baltimore
, Maryland
, United States
)
Author Disclosures:
Sarvin Sasannia:DO NOT have relevant financial relationships
| Dhananjay Vaidya:DO NOT have relevant financial relationships
| Peter van Zijl:DO NOT have relevant financial relationships
| Linda Knutsson:DO NOT have relevant financial relationships
| Paul Nyquist:DO NOT have relevant financial relationships
| Richard Leigh:DO NOT have relevant financial relationships
| Shimeng Wang:No Answer
| Mykola Matsyuk:DO NOT have relevant financial relationships
| Jinwei Zhang:No Answer
| Hyeong-Geol Shin:DO NOT have relevant financial relationships
| Jerry Prince:DO have relevant financial relationships
;
Individual Stocks/Stock Options:Sonavex, Inc.:Active (exists now)
; Independent Contractor:Elsevier, Inc.:Past (completed)
; Consultant:Massachusetts General Hospital:Past (completed)
; Royalties/Patent Beneficiary:Junebrain, Inc.:Active (exists now)
; Royalties/Patent Beneficiary:Myocardial Solutions, Inc.:Active (exists now)
| Lewis Becker:DO NOT have relevant financial relationships
| Lisa Yanek:DO NOT have relevant financial relationships
Buhadur Ali Muhammad Khan, Shahzaib Muhammad, Qureshi Muhammad Ahmad, Ammar Ur Rahman Mohammad, Munir Luqman, Khalid Amna, Hayat Malik Saad, Shoaib Muhammad Mukarram