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Fan F, Song H, Jiang J, He H, Sun D, Xu Z, Peng S, Zhang R, Li T, Cao J, Xu J, Peng X, Lei M, He C, Zhang J. Development and validation of a multimodal deep learning framework for vascular cognitive impairment diagnosis. iScience 2024; 27:110945. [PMID: 39391736 PMCID: PMC11465129 DOI: 10.1016/j.isci.2024.110945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/15/2024] [Accepted: 09/10/2024] [Indexed: 10/12/2024] Open
Abstract
Cerebrovascular disease (CVD) is the second leading cause of dementia worldwide. The accurate detection of vascular cognitive impairment (VCI) in CVD patients remains an unresolved challenge. We collected the clinical non-imaging data and neuroimaging data from 307 subjects with CVD. Using these data, we developed a multimodal deep learning framework that combined the vision transformer and extreme gradient boosting algorithms. The final hybrid model within the framework included only two neuroimaging features and six clinical features, demonstrating robust performance across both internal and external datasets. Furthermore, the diagnostic performance of our model on a specific dataset was demonstrated to be comparable to that of expert clinicians. Notably, our model can identify the brain regions and clinical features that significantly contribute to the VCI diagnosis, thereby enhancing transparency and interpretability. We developed an accurate and explainable clinical decision support tool to identify the presence of VCI in patients with CVD.
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Affiliation(s)
- Fan Fan
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Hao Song
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Jiu Jiang
- Electronic Information School, Wuhan University, Wuhan, Hubei province, China
| | - Haoying He
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Dong Sun
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Zhipeng Xu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Sisi Peng
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Ran Zhang
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Tian Li
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Jing Cao
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Juan Xu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
| | - Xiaoxiang Peng
- Department of Neurology, Third People’s Hospital of Hubei Province, Wuhan, Hubei province, China
| | - Ming Lei
- Department of Neurology, General Hospital of the Yangtze River Shipping, Wuhan, Hubei province, China
| | - Chu He
- Electronic Information School, Wuhan University, Wuhan, Hubei province, China
| | - Junjian Zhang
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei province, China
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Kalaria RN, Akinyemi RO, Paddick SM, Ihara M. Current perspectives on prevention of vascular cognitive impairment and promotion of vascular brain health. Expert Rev Neurother 2024; 24:25-44. [PMID: 37916306 PMCID: PMC10872925 DOI: 10.1080/14737175.2023.2273393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION The true global burden of vascular cognitive impairment (VCI) is unknown. Reducing risk factors for stroke and cardiovascular disease would inevitably curtail VCI. AREAS COVERED The authors review current diagnosis, epidemiology, and risk factors for VCI. VCI increases in older age and by inheritance of known genetic traits. They emphasize modifiable risk factors identified by the 2020 Lancet Dementia Commission. The most profound risks for VCI also include lower education, cardiometabolic factors, and compromised cognitive reserve. Finally, they discuss pharmacological and non-pharmacological interventions. EXPERT OPINION By virtue of the high frequencies of stroke and cardiovascular disease the global prevalence of VCI is expectedly higher than prevalent neurodegenerative disorders causing dementia. Since ~ 90% of the global burden of stroke can be attributed to modifiable risk factors, a formidable opportunity arises to reduce the burden of not only stroke but VCI outcomes including progression from mild to the major in form of vascular dementia. Strict control of vascular risk factors and secondary prevention of cerebrovascular disease via pharmacological interventions will impact on burden of VCI. Non-pharmacological measures by adopting healthy diets and encouraging physical and cognitive activities and urging multidomain approaches are important for prevention of VCI and preservation of vascular brain health.
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Affiliation(s)
- Raj N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Rufus O Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Stella-Maria Paddick
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Centre, Osaka, Japan
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Bilski AE, Aparicio HJ, Gutierrez J, de Leeuw FE, Hilkens N. Antiplatelet Therapy or Not for Asymptomatic/Incidental Lacunar Infarction. Stroke 2023; 54:1954-1959. [PMID: 37191009 PMCID: PMC10421561 DOI: 10.1161/strokeaha.122.040444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/11/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Amanda E Bilski
- Department of Neurology, New York Presbyterian Hospital/ Columbia University Irving Medical Center
| | - Hugo J. Aparicio
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine
- Boston Medical Center
| | - Jose Gutierrez
- Department of Neurology, New York Presbyterian Hospital/ Columbia University Irving Medical Center
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Nina Hilkens
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
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