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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
Cerebral Infarction: Epidemiology, Classification, Mechanisms, Diagnosis, and Management
Meibiao Zhang1, Jianxun Hou1, Jia Kuang1
1Department of Neurology The Affiliated Yongchuan Hospital of Chongqing Medical University Chongqing China.
Insights
Cerebral infarction, or ischemic stroke, presents complex challenges. Precision medicine offers a roadmap for individualized therapy by integrating epidemiology, pathophysiology, diagnostics, and multiomics data.
Area of Science:
- Neurology
- Precision Medicine
- Pathophysiology
Background:
- Cerebral infarction (ischemic stroke) is a major cause of death and disability.
- Clinical heterogeneity complicates risk stratification and treatment.
- Current approaches face challenges due to complex underlying mechanisms.
Purpose of the Study:
- To provide an integrative overview of cerebral infarction from a precision medicine perspective.
- To synthesize advances in epidemiology, pathophysiology, diagnostics, and therapeutics.
- To bridge the gap between mechanistic insights and clinical outcomes.
Main Methods:
- Review of global epidemiological trends and risk factors.
- Critical examination of stroke classification systems (e.g., TOAST).
- Analysis of pathophysiological mechanisms (neurovascular unit, metabolism, cell death pathways like ferroptosis).
- Appraisal of diagnostic advances (imaging, biomarkers, AI).
- Evaluation of current and emerging therapeutic strategies.
- Discussion of multiomics and data-driven models for personalized management.
Main Results:
- Highlights global disparities and evolving risk factors in stroke epidemiology.
- Examines the shift from traditional to phenotype- and molecularly-informed stroke classification.
- Details key pathophysiological pathways relevant to targeted interventions.
- Assesses advancements in diagnostics and treatments, including neuroprotection.
- Emphasizes the role of multiomics in redefining stroke subtyping and guiding individualized care.
Conclusions:
- A mechanism-phenotype-decision framework provides a coherent synthesis of cerebral infarction research.
- Precision medicine approaches are crucial for advancing individualized management.
- This review offers a roadmap for transitioning from empirical to precision-oriented care.
Abstract:
Cerebral infarction, the pathological basis of ischemic stroke, remains a leading cause of mortality and long-term disability worldwide. Its clinical heterogeneity reflects the complex interplay among vascular pathology, metabolic failure, immune responses, and genetic susceptibility, posing persistent challenges to effective risk stratification and individualized therapy. This review provides an integrative overview of cerebral infarction from a precision medicine perspective, synthesizing advances across epidemiology, pathophysiology, diagnostics, and therapeutics to bridge the gap between mechanistic insight and clinical outcomes. We first summarize global epidemiological trends, highlighting persistent disparities and the shift toward understanding modifiable and emerging risk factors. We then critically examine the evolution of stroke classification from traditional systems (e.g., Trial of Org 10172 in Acute Stroke Treatment [TOAST]) toward phenotype-driven and molecularly informed frameworks. The core of the review delves into key pathophysiological mechanisms-including neurovascular unit dysfunction, energy metabolism disturbance, and regulated cell death pathways such as ferroptosis-and their implications for targeted intervention. We further appraise contemporary diagnostic advances, encompassing multimodal imaging, circulating biomarkers, and artificial intelligence-assisted tools, alongside current treatment strategies like reperfusion therapy and emerging neuroprotective approaches. Finally, we discuss how multiomics technologies and data-driven models are redefining stroke subtyping and guiding individualized management. By employing a mechanism-phenotype-decision framework, this review offers a coherent synthesis of the field, providing a roadmap to support the transition from empirical care toward precision-oriented management in cerebral infarction.
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