Reviews on Imaging-based Risk Prediction Models for Ischemic Stroke
Stroke significantly impacts national health due to its high incidence, disability, mortality, and recurrence rates, resulting in a substantial economic burden. Risk prediction models for ischemic stroke help identify high-risk populations for early prevention, diagnosis, and treatment. Various risk...
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| Format: | Article |
| Language: | English |
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Editorial Office of Advanced Ultrasound in Diagnosis and Therapy
2025-06-01
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| Series: | Advanced Ultrasound in Diagnosis and Therapy |
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| Online Access: | https://www.journaladvancedultrasound.com/fileup/2576-2516/PDF/1751848701315-1912304829.pdf |
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| _version_ | 1849423664028581888 |
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| author | Cui Liuping, Liu Ran, Liu Yumei, Zhou Fubo, Tao Yunlu, Xing Yingqi |
| author_facet | Cui Liuping, Liu Ran, Liu Yumei, Zhou Fubo, Tao Yunlu, Xing Yingqi |
| author_sort | Cui Liuping, Liu Ran, Liu Yumei, Zhou Fubo, Tao Yunlu, Xing Yingqi |
| collection | DOAJ |
| description | Stroke significantly impacts national health due to its high incidence, disability, mortality, and recurrence rates, resulting in a substantial economic burden. Risk prediction models for ischemic stroke help identify high-risk populations for early prevention, diagnosis, and treatment. Various risk-scoring models have been developed for primary and secondary prevention of ischemic stroke, estimating the probability of cardiovascular events over a specified timeframe based on the presence of known risk factors. However, these risk-scoring models often lack precision for cardiovascular disease risk assessments across diverse baseline risk conditions. Integrating image-based biomarkers into existing risk-prediction models may enhance risk stratification accuracy. This review presents the most used models for ischemic stroke prediction and underscores the clinical utility of biomarkers in the management of ischemic stroke. |
| format | Article |
| id | doaj-art-6dcbdbfe0cfa4a6788c87596f111b8f1 |
| institution | Kabale University |
| issn | 2576-2516 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Editorial Office of Advanced Ultrasound in Diagnosis and Therapy |
| record_format | Article |
| series | Advanced Ultrasound in Diagnosis and Therapy |
| spelling | doaj-art-6dcbdbfe0cfa4a6788c87596f111b8f12025-08-20T03:30:32ZengEditorial Office of Advanced Ultrasound in Diagnosis and TherapyAdvanced Ultrasound in Diagnosis and Therapy2576-25162025-06-019211712610.37015/AUDT.2025.240018Reviews on Imaging-based Risk Prediction Models for Ischemic StrokeCui Liuping, Liu Ran, Liu Yumei, Zhou Fubo, Tao Yunlu, Xing Yingqi0aDepartment of Vascular Ultrasound, Xuanwu Hospital, Capital Medical University, Beijing, China;bBeijing Diagnostic Center of Vascular Ultrasound, Beijing, China;cCenter of Vascular Ultrasound, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, ChinaStroke significantly impacts national health due to its high incidence, disability, mortality, and recurrence rates, resulting in a substantial economic burden. Risk prediction models for ischemic stroke help identify high-risk populations for early prevention, diagnosis, and treatment. Various risk-scoring models have been developed for primary and secondary prevention of ischemic stroke, estimating the probability of cardiovascular events over a specified timeframe based on the presence of known risk factors. However, these risk-scoring models often lack precision for cardiovascular disease risk assessments across diverse baseline risk conditions. Integrating image-based biomarkers into existing risk-prediction models may enhance risk stratification accuracy. This review presents the most used models for ischemic stroke prediction and underscores the clinical utility of biomarkers in the management of ischemic stroke.https://www.journaladvancedultrasound.com/fileup/2576-2516/PDF/1751848701315-1912304829.pdf|ischemic stroke|imaging biomarkers|stroke prevention|risk assessment |
| spellingShingle | Cui Liuping, Liu Ran, Liu Yumei, Zhou Fubo, Tao Yunlu, Xing Yingqi Reviews on Imaging-based Risk Prediction Models for Ischemic Stroke Advanced Ultrasound in Diagnosis and Therapy |ischemic stroke|imaging biomarkers|stroke prevention|risk assessment |
| title | Reviews on Imaging-based Risk Prediction Models for Ischemic Stroke |
| title_full | Reviews on Imaging-based Risk Prediction Models for Ischemic Stroke |
| title_fullStr | Reviews on Imaging-based Risk Prediction Models for Ischemic Stroke |
| title_full_unstemmed | Reviews on Imaging-based Risk Prediction Models for Ischemic Stroke |
| title_short | Reviews on Imaging-based Risk Prediction Models for Ischemic Stroke |
| title_sort | reviews on imaging based risk prediction models for ischemic stroke |
| topic | |ischemic stroke|imaging biomarkers|stroke prevention|risk assessment |
| url | https://www.journaladvancedultrasound.com/fileup/2576-2516/PDF/1751848701315-1912304829.pdf |
| work_keys_str_mv | AT cuiliupingliuranliuyumeizhoufubotaoyunluxingyingqi reviewsonimagingbasedriskpredictionmodelsforischemicstroke |