Gao Shan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 191-194). / Abstracts in English and Chinese. / Abstract in English --- p.i / Abstract in Chinese --- p.iii / Acknowledgement --- p.v / Introduction --- p.vi / Contents --- p.viii / List of tables --- p.xiv / List of figures --- p.xv / Chapter Chapter One --- Literature Review / Chapter 1.1 --- Middle Cerebral Artery (MCA) Stenos --- p.is / Chapter 1.1.1 --- Prevalence of atherosclerotic MCA stenosis --- p.2 / Chapter 1.1.2 --- Methods for diagnosis of MCA stenosis --- p.3 / Chapter 1.1.3 --- Possible mechanism and course of stroke with MCA stenosis --- p.4 / Chapter 1.1.4 --- Treatment and prevention of stroke in patients with MCA stenosis --- p.5 / Chapter 1.2 --- Microembolic Signal (MES) Detection / Chapter 1.2.1 --- Introduction --- p.9 / Chapter 1.2.2 --- Technology --- p.9 / Characteristics of MES / Factors that affect MES detection / Problems of technology / Chapter 1.2.3 --- Clinical application --- p.15 / MES originating from atherosclerotic carotid artery stenosis / MES detection in internal carotid endarterectomy (CEA) / MES detection in patients with MCA stenosis / Predicting value and application in therapeutic trial / References --- p.19 / Chapter Chapter Two --- General Methodology / Chapter 2.1 --- Transcranial Doppler (TCD) Diagnosis for Intracranial Artery Stenosis / Chapter 2.1.1 --- TCD spectrum and common parameters --- p.29 / Chapter 2.1.2 --- Emitting and receiving transducers --- p.29 / Chapter 2.1.3 --- Pulsitility index (PI) --- p.31 / Chapter 2.1.4 --- Insonation depth and flow direction --- p.31 / Chapter 2.1.5 --- Continuous wave (CW) and pulsed wave (PW) --- p.33 / Chapter 2.1.6 --- Normal intracranial arteries through temporal and suboccipital window --- p.33 / Chapter 2.1.7 --- Normal intracranial arteries through orbital window --- p.36 / Chapter 2.1.8 --- Normal extracranial arteries --- p.36 / Chapter 2.1.9 --- TCD diagnosis for intracranial artery stenosis --- p.39 / Chapter 2.1.10 --- Example of multiple intracranial arteries stenosis --- p.39 / Chapter 2.2 --- Microembolic Signal (MES) Detection / Chapter 2.2.1 --- Device of MES monitoring --- p.41 / Chapter 2.2.2 --- Insonated artery and depth --- p.41 / Chapter 2.2.3 --- Axis length of the sample volume --- p.43 / Chapter 2.2.4 --- Fast Fourier Transform (FFT) time window overlap --- p.43 / Chapter 2.2.5 --- Distinguishing embolic signal and artifact with two-gate transducer --- p.45 / Chapter 2.2.6 --- Measurements of embolic signal and threshold --- p.47 / References --- p.45 / Chapter Chapter Three --- Prevalence and Clinical Significance of Microembolic Signal (MES) in Patients with Middle Cerebral Artery (MCA) Stenosis / Chapter 3.1 --- Abstract --- p.50 / Chapter 3.2 --- Introduction --- p.51 / Chapter 3.3 --- Methodology --- p.51 / Patients / Severity of stroke and clinical course / Diagnosis for middle cerebral artery (MCA) stenosis / Microembolic signal (MES) detection / Statistical analysis / Chapter 3.4 --- Results --- p.55 / Baseline information of patients / Prevalence of MES / Relationship between presence of MES and severity of MCA stenosis / Correlation between presence of MES and clinical course in 85 symptomatic patients / Correlation between the count of MES and clinical course in 85 symptomatic patients / Correlation between the presence of MES and further ischemic stroke / Chapter 3.5 --- Discussion --- p.63 / Prevalence of MES / Association between severity of stroke and presence or the number of MES / Predictive value of MES for further stroke / References --- p.66 / Chapter Chapter Four --- Mechanisms of Acute Cerebral Infarction in Patients with Cerebral Artery Stenosis: a Diffusion-weighted Imaging and Microemboli Monitoring study / Chapter 4.1 --- Abstract / Chapter 4.2 --- Introduction --- p.72 / Chapter 4.3 --- Methodology --- p.73 / Patients / Microembolic signal (MES) detection by transcranial Doppler (TCD) / "Magnetic resonance imaging (DWI, MRI and MRA)" / Statistical analysis / Chapter 4.4 --- Results --- p.77 / Severity of MCA stenosis on MRA and pattern of infarct on DWI / Frequency and count of MES and its relationship with multiple and borderzone infarction on DWI / Chapter 4.5 --- Discussion --- p.79 / Frequency of MES / Pattern of cerebral infarcts on DWI / Relationship between MES and multiple infarcts on DWI / References --- p.83 / Chapter Chapter Five / Chapter Chapter Five-I --- Novel Observations of the Characteristics of Real Time Genesis of Thromboembolism in Middle Cerebral Artery Stenosis Detected by Transcranial Doppler / Chapter 5.1.1 --- Abstract --- p.90 / Chapter 5.1.2 --- Introduction --- p.91 / Chapter 5.1.3 --- Methodology --- p.91 / Characteristics of patients / "MRA, DWI and conventional TCD data" / MES monitoring method and overall data / Neuroimaging and MES monitoring data in all five patients / Signal analysis in off-line / Confirmation test for the origin of MES / Chapter 5.1.4 --- Results --- p.104 / Frequency of three special phenomena / Characteristics of three special phenomena / Results of confirmation test for embolic source / Chapter 5.1.5 --- Discussion --- p.133 / Occurrence of MES with flow velocity change simultaneously / MES splatter / Bi-directional low frequency (S-velocity) vibration / Testing for source of MES detected from MCA stenosis / References --- p.139 / Chapter Chapter Five-II --- Characteristics of Microembolic Signals Detected near Its Origin from the Middle Cerebral Artery Stenosis / Chapter 5.2.1 --- Abstract --- p.143 / Chapter 5.2.2 --- Introduction --- p.144 / Chapter 5.2.3 --- Methodology --- p.144 / Patients / Microembolic signal (MES) detection / Classification of MES / Chapter 5.2.4 --- Results --- p.145 / Types of MES detected from MCA stenosis / Characteristics of three types of MES / Chapter 5.2.5 --- Discussion --- p.157 / Emboli moving from vessel wall to the center / Emboli vibration / About calculating the time delay between two channels / References --- p.160 / Chapter Chapter Five-III --- "Hemodynamic change,microembolic signal counts and use of antithrombotic treatments" / Chapter 5.3.1 --- Abstract --- p.163 / Chapter 5.3.2 --- Introduction --- p.164 / Chapter 5.3.3 --- Methodology --- p.164 / Chapter 5.3.4 --- Results / "The relationship among flow velocity, the number of MES and time since symptom onset" --- p.165 / Patient one / Patient two / Patient three / Chapter 5.3.5 --- Discussion / Association between flow velocity or MES change and different anticoagulants in acute stage / Progression of MCA stenosis after acute stage / Stability of MCA atherosclerotic stenosis / References --- p.173 / Chapter Chapter Six --- The Optimal Values of Flow Velocity on Transcranial Dopplerin Grading Severity of Middle Cerebral Artery Stenosis in Comparison With Magnetic Resonance Angiography / Chapter 6.1 --- Abstract --- p.179 / Chapter 6.2 --- Introduction --- p.180 / Chapter 6.3 --- Methodology --- p.180 / Patients / TCD examination / Grading of MCA stenosis on MRA / Statistical analysis / Chapter 6.4 --- Results --- p.182 / Detection of >50% MCA stenosis according to flow velocity / Grading severity of MCA stenosis by flow velocity / Chapter 6.5 --- Discussion --- p.186 / Reliability of TCD diagnosis for MCA stenosis / Grading MCA stenosis according to flow velocity on TCD / References / Abbreviations --- p.189 / Publications --- p.191
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323987 |
| Date | January 2002 |
| Contributors | Gao, Shan., Chinese University of Hong Kong Graduate School. Division of Medical Sciences. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xviii, 194 leaves : ill. (some col.) ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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