A Novel Imaging Biomarker for Cerebral Small Vessel Disease Associated With Cognitive Impairment: The Deep-Medullary-Veins Score
Objective: To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment. Methods: A total of 69 patients with CSVD were enrolled in the study, and baseline clinical and imaging data were reviewed retrospectively. The following neuroimaging biomarkers of CSVD...
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Published in | Frontiers in aging neuroscience Vol. 13; p. 720481 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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25.10.2021
Frontiers Media S.A |
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Abstract | Objective:
To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment.
Methods:
A total of 69 patients with CSVD were enrolled in the study, and baseline clinical and imaging data were reviewed retrospectively. The following neuroimaging biomarkers of CSVD were identified: high-grade white matter hyperintensity (HWMH), cerebral microbleeds (CMB), enlarged perivascular space (PVS), and lacunar infarct (LI). A total score for CSVD was calculated. The deep medullary veins (DMVs) were divided into six segments according to the regional anatomy. The total DMV score (0–18) was derived from the sum of the scores of the six individual segments, the scores of which ranged from 0 to 3, for a semiquantitative assessment of the DMV that was based on segmental continuity and visibility.
Results:
The DMV score, patient age, and total CSVD score were independently associated with the presence or absence of cognitive impairment in patients with CSVD (
P
< 0.05). By integrating patient age and the total CSVD and DMV scores, the area under the curve of the receiver operating characteristic curve (AUROC) for predicting CSVD associated with cognitive impairment was 0.885, and the sensitivity and specificity were 64.71 and 94.23%, respectively.
Conclusions:
The DMV score may be a novel imaging biomarker for CSVD associated with cognitive impairment. The integration of the DMV score with age and total CSVD score should increase the predictive value of the DMV score for CSVD associated with cognitive impairment. |
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AbstractList | Objective: To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment.Methods: A total of 69 patients with CSVD were enrolled in the study, and baseline clinical and imaging data were reviewed retrospectively. The following neuroimaging biomarkers of CSVD were identified: high-grade white matter hyperintensity (HWMH), cerebral microbleeds (CMB), enlarged perivascular space (PVS), and lacunar infarct (LI). A total score for CSVD was calculated. The deep medullary veins (DMVs) were divided into six segments according to the regional anatomy. The total DMV score (0–18) was derived from the sum of the scores of the six individual segments, the scores of which ranged from 0 to 3, for a semiquantitative assessment of the DMV that was based on segmental continuity and visibility.Results: The DMV score, patient age, and total CSVD score were independently associated with the presence or absence of cognitive impairment in patients with CSVD (P < 0.05). By integrating patient age and the total CSVD and DMV scores, the area under the curve of the receiver operating characteristic curve (AUROC) for predicting CSVD associated with cognitive impairment was 0.885, and the sensitivity and specificity were 64.71 and 94.23%, respectively.Conclusions: The DMV score may be a novel imaging biomarker for CSVD associated with cognitive impairment. The integration of the DMV score with age and total CSVD score should increase the predictive value of the DMV score for CSVD associated with cognitive impairment. Objective: To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment. Methods: A total of 69 patients with CSVD were enrolled in the study, and baseline clinical and imaging data were reviewed retrospectively. The following neuroimaging biomarkers of CSVD were identified: high-grade white matter hyperintensity (HWMH), cerebral microbleeds (CMB), enlarged perivascular space (PVS), and lacunar infarct (LI). A total score for CSVD was calculated. The deep medullary veins (DMVs) were divided into six segments according to the regional anatomy. The total DMV score (0–18) was derived from the sum of the scores of the six individual segments, the scores of which ranged from 0 to 3, for a semiquantitative assessment of the DMV that was based on segmental continuity and visibility. Results: The DMV score, patient age, and total CSVD score were independently associated with the presence or absence of cognitive impairment in patients with CSVD ( P < 0.05). By integrating patient age and the total CSVD and DMV scores, the area under the curve of the receiver operating characteristic curve (AUROC) for predicting CSVD associated with cognitive impairment was 0.885, and the sensitivity and specificity were 64.71 and 94.23%, respectively. Conclusions: The DMV score may be a novel imaging biomarker for CSVD associated with cognitive impairment. The integration of the DMV score with age and total CSVD score should increase the predictive value of the DMV score for CSVD associated with cognitive impairment. Objective: To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment. Methods: A total of 69 patients with CSVD were enrolled in the study, and baseline clinical and imaging data were reviewed retrospectively. The following neuroimaging biomarkers of CSVD were identified: high-grade white matter hyperintensity (HWMH), cerebral microbleeds (CMB), enlarged perivascular space (PVS), and lacunar infarct (LI). A total score for CSVD was calculated. The deep medullary veins (DMVs) were divided into 6 segments according to the regional anatomy. The total DMV score (0 to 18) was derived from the sum of the scores of the 6 individual segments, the scores of which ranged from 0 to 3, for a semiquantitative assessment of the DMV that was based on segmental continuity and visibility. Results: The DMV score, patient age, and total CSVD score were independently associated with the presence or absence of cognitive impairment in patients with CSVD (P<0.05). By integrating patient age, the total CSVD and DMV scores, the area under the curve of the receiver operating characteristic curve (AUROC) for predicting CSVD associated with cognitive impairment was 0.885, and the sensitivity and specificity were 64.71% and 94.23%, respectively. Conclusions: The DMV score may be a novel imaging biomarker for CSVD associated with cognitive impairment. The integration of the DMV score with age and total CSVD score should increase the predictive value of the DMV score for CSVD associated with cognitive impairment. |
Author | Li, Fangfei Yang, Benqiang Xu, Zhihua Chen, Jingshu Song, Hongyan Xing, Dengxiang Duan, Yang |
AuthorAffiliation | 1 Department of Radiology, Tongde Hospital of Zhejiang Province , Hangzhou , China 4 Center for Medical Data, General Hospital of Northern Theater Command , Shenyang , China 6 General Hospital of Northern Theater Command Training Base for Graduate, China Medical University , Shenyang , China 5 General Hospital of Northern Theater Command Training Base for Graduate, Jinzhou Medical University , Shenyang , China 3 General Hospital of Northern Theater Command Training Base for Graduate, Dalian Medical University , Shenyang , China 2 Center for Neuroimaging, Department of Radiology, General Hospital of Northern Theater Command , Shenyang , China 7 Department of Radiology, General Hospital of Northern Theater Command , Shenyang , China |
AuthorAffiliation_xml | – name: 3 General Hospital of Northern Theater Command Training Base for Graduate, Dalian Medical University , Shenyang , China – name: 7 Department of Radiology, General Hospital of Northern Theater Command , Shenyang , China – name: 1 Department of Radiology, Tongde Hospital of Zhejiang Province , Hangzhou , China – name: 2 Center for Neuroimaging, Department of Radiology, General Hospital of Northern Theater Command , Shenyang , China – name: 4 Center for Medical Data, General Hospital of Northern Theater Command , Shenyang , China – name: 6 General Hospital of Northern Theater Command Training Base for Graduate, China Medical University , Shenyang , China – name: 5 General Hospital of Northern Theater Command Training Base for Graduate, Jinzhou Medical University , Shenyang , China |
Author_xml | – sequence: 1 givenname: Zhihua surname: Xu fullname: Xu, Zhihua – sequence: 2 givenname: Fangfei surname: Li fullname: Li, Fangfei – sequence: 3 givenname: Dengxiang surname: Xing fullname: Xing, Dengxiang – sequence: 4 givenname: Hongyan surname: Song fullname: Song, Hongyan – sequence: 5 givenname: Jingshu surname: Chen fullname: Chen, Jingshu – sequence: 6 givenname: Yang surname: Duan fullname: Duan, Yang – sequence: 7 givenname: Benqiang surname: Yang fullname: Yang, Benqiang |
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CitedBy_id | crossref_primary_10_1016_j_heliyon_2024_e29534 crossref_primary_10_1007_s10072_023_07208_7 crossref_primary_10_1016_j_crad_2024_03_014 crossref_primary_10_1007_s12975_023_01206_9 crossref_primary_10_12677_ACM_2023_134902 crossref_primary_10_3390_brainsci13091315 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors have contributed equally to this work Reviewed by: Chengcheng Zhu, University of Washington, United States; Nathan Weinstein, National Autonomous University of Mexico, Mexico Edited by: Parnetti Lucilla, University of Perugia, Italy |
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Snippet | Objective:
To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment.
Methods:
A total of 69 patients with CSVD... Objective: To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment. Methods: A total of 69 patients with CSVD... Objective: To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment.Methods: A total of 69 patients with CSVD... |
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StartPage | 720481 |
SubjectTerms | Age Aging Alcohol use Biomarkers Blood vessels Cardiovascular disease cerebral small vessel disease Cognitive ability cognitive impairment deep medullary veins Diabetes Hypertension Magnetic resonance imaging Medical imaging Neuroimaging Neuroscience Patients Substantia alba total CSVD score CSVD and DMVs Vascular diseases |
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Title | A Novel Imaging Biomarker for Cerebral Small Vessel Disease Associated With Cognitive Impairment: The Deep-Medullary-Veins Score |
URI | https://www.proquest.com/docview/2585631981 https://search.proquest.com/docview/2596453352 https://pubmed.ncbi.nlm.nih.gov/PMC8572877 https://doaj.org/article/079b4999aba14f47a3deb3edd5e5ddec |
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