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Intracerebral hemorrhage (ICH) is a subtype of stroke associated with high mortality and disability. Basic and clinical research has contributed to our understanding of the complex pathophysiology in ICH. However, questions regarding acute diagnosis, therapeutic decisions, and prognostication of ICH remain unanswered. Molecular biomarkers and imaging markers have revolutionalized diagnosis and treatment of many diseases, such as troponin use in myocardial infarction and magnetic resonance imaging (MRI) scan in ischemic stroke. Therefore, the investigators aim to discovery the potential biomarkers by screening samples of blood, cerebral spinal fluid, urine, saliva, and even tissues (if available) from ICH patients, and imaging markers via serial multimodality imaging scans such as computed tomography(CT), magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), etc. These molecular and imaging markers would assist in contributing additional information to current tools for onset warning, diagnosis, therapy monitoring, risk stratification, intervention and prognosis for ICH patients.
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Intracerebral hemorrhage (ICH) is one of the most serious subtypes of stroke, affecting approximately 2-3 million people worldwide each year. About one third of people with ICH die early after onset and the majority of survivors are left with major long-term disability. Today little is known about the characteristic changes in molecules from body samples and pictures from multimodality imaging scans. In this study, the investigators aim to reveal the potential biomarkers by screening samples of blood, cerebral spinal fluid, urine, saliva, and even tissues (if available) from ICH patients, and imaging markers via serial multimodality imaging scans such as computed tomography(CT), magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), etc, which will bring insights into pathophysiological mechanisms and addition of new tools for onset warning, diagnosis, therapy monitoring, risk stratification, intervention and prognosis for ICH patients.
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200 participants in 2 patient groups
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Rong Hu, Ph.D
Data sourced from clinicaltrials.gov
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