Deep medullary vein damage correlates with small vessel disease in small vessel occlusion acute ischemic stroke
Creators
- Wang, Xueyang1, 2
- Lyu, Jinhao2
- Duan, Qi2
- Li, Chenxi2
- Huang, Jiayu2
- Bian, Xiangbing2
- Lan, Yina2
- Wang, Liuxian2
- Zhang, Tingyang2
- Duan, Caohui2
- Lou, Xin2
- Meng, Zhihua3
- Wu, Xiaoyan4
- Chen, Wen5
- Wang, Guohua6
- Niu, Qingliang7
- Li, Xin8
- Bian, Yitong9
- Han, Dan10
- Guo, Weiting11
- Yang, Shuai12
- The MR-STARS Investigators
- 1. Department of Radiology, Yancheng Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine/ Yancheng Traditional Chinese Medicine Hospital, Jiangsu (China)
- 2. Department of Radiology, Chinese PLA General Hospital, Beijing (China)
- 3. Department of Radiology, Yuebei People's Hospital, Guangdong (China)
- 4. Department of Radiology, Anshan Changda Hospital, Liaoning (China)
- 5. Department of Radiology, Shiyan Taihe Hospital, Hubei (China)
- 6. Department of Radiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Shandong (China)
- 7. Department of Radiology, WeiFang Traditional Chinese Hospital, Shandong (China)
- 8. Department of Radiology, Jilin University Second Hospital, Shandong (China)
- 9. Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi (China)
- 10. Department of Radiology, Kunming Medical University First Affiliated Hospital, Yunnan (China)
- 11. Department of Radiology, Shanxi Provincial People's Hospital, Shanxi (China)
- 12. Department of Radiology, Xiangya Hospital Central South University, Hunan (China)
Description
We aim to investigate whether cerebral small vessel disease (cSVD) imaging markers correlate with deep medullary vein (DMV) damage in small vessel occlusion acute ischemic stroke (SVO-AIS) patients. The DMV was divided into six segments according to the regional anatomy. The total DMV score (0-18) was calculated based on segmental continuity and visibility. The damage of DMV was grouped according to the quartiles of the total DMV score. Neuroimaging biomarkers of cSVD including white matter hyperintensity (WMH), cerebral microbleed (CMB), perivascular space (PVS), and lacune were identified. The cSVD score were further analyzed. We included 229 SVO-AIS patients, the mean age was 63.7 ± 23.1 years, the median NIHSS score was 3 (IQR, 2-6). In the severe DMV burden group (the 4th quartile), the NIHSS score grade (6 (3-9)) was significantly higher than other groups (p < 0.01). The grade scores for basal ganglia PVS (BG-PVS) were positively correlated with the degree of DMV (R = 0.67, p < 0.01), rather than centrum semivole PVS (CS-PVS) (R = 0.17, p = 0.1). In multivariate analysis, high CMB burden (adjusted odds ratio [aOR], 25.38; 95% confidence interval [CI], 1.87-345.23) was associated with severe DMV scores. In addition, BG-PVS was related to severe DMV burden in a dose-dependent manner: when BG-PVS score was 3 and 4, the aORs of severe DMV burden were 18.5 and 12.19, respectively. The DMV impairment was associated with the severity of cSVD, which suggests that DMV burden may be used for risk stratification in SVO-AIS patients. The DMV damage score, based on the association between small vessel disease and the deep medullary veins impairment, is a potential new imaging biomarker for the prognosis of small vessel occlusion acute ischemic stroke, with clinical management implications.
Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology (Internet)
- Journal Volume
- 34
- Journal Issue
- 9
- Journal Page Range
- p. 6026-6035
- ISSN
- 1432-1084
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 55089164
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ANATOMY; BIOLOGICAL MARKERS; BLOOD FLOW; BRAIN; CLINICAL TRIALS; DATA COMPILATION; DIFFUSION; ELDERLY PEOPLE; HYPERTENSION; IMAGE PROCESSING; ISCHEMIA; MULTIVARIATE ANALYSIS; NMR IMAGING; REGRESSION ANALYSIS; RELAXATION TIME; TIME-OF-FLIGHT METHOD; VEINS; WEIGHTING FUNCTIONS
- Descriptors DEC
- ADULTS; AGE GROUPS; AGED ADULTS; ANEMIAS; ANIMALS; BIOLOGY; BLOOD VESSELS; BODY; CARDIOVASCULAR DISEASES; CARDIOVASCULAR SYSTEM; CENTRAL NERVOUS SYSTEM; DATA; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; DISEASES; FUNCTIONS; HEMIC DISEASES; HUMAN POPULATIONS; HUMANS; INFORMATION; MAMMALS; MATHEMATICS; MINORITY GROUPS; NERVOUS SYSTEM; ORGANS; POPULATIONS; PRIMATES; PROCESSING; STATISTICS; SYMPTOMS; TESTING; VASCULAR DISEASES; VERTEBRATES
Optional Information
- Collaborations
- The MR-STARS Investigators