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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 簡國龍 | |
dc.contributor.author | Jei-Yie Huang | en |
dc.contributor.author | 黃潔宜 | zh_TW |
dc.date.accessioned | 2021-06-08T01:49:18Z | - |
dc.date.copyright | 2016-08-26 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-08-01 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19217 | - |
dc.description.abstract | 背景與目標:心肌灌注掃描為使用已久且公認可信的冠狀動脈心臟病診斷工具。然而心肌灌注掃描的完整臨床潛力,由於許多因素因而還未發展完全,例如軟組織所造成的衰減問題。在此研究中,我們試圖透過額外的電腦斷層衰減校正,以改善心肌灌注掃描的診斷性能,採用冠狀動脈血管攝影作為參考標準。
方法:本研究包含108位接受電腦斷層衰減校正心肌灌注掃描的病人,且於3個月內接受冠狀動脈血管攝影。影像分析採用標準17分節及5分制評分系統完成。診斷性能以靈敏度,特異性,接收者操作特徵曲線與曲線下面積呈現。亞組分析按性別及超重與正常體重來進行。 結果:電腦斷層衰減校正在診斷患者冠狀動脈心臟病、左前降支及左迴旋支冠狀動脈狹窄,特異度顯著上升(0.62對0.38,p值=0.001;0.56對0.39,P值=0.001;0.76對0.59,P值<0.001),但在靈敏度則無明顯變化。導致接收者操作特徵曲線與曲線下面積上升(0.79對0.68,P值<0.001;0.75對0.66,P值<0.001;0.73對0.66,P值=0.007)。在診斷右冠狀動脈狹窄方面,電腦斷層衰減校正使得特異度顯著改善,但靈敏度下降。導致接收者操作特徵曲線與曲線下面積無顯著變化(電腦斷層衰減校: 0.71,無校正: 0.66,P值=0.13)。 結論:電腦斷層衰減校正應常規使用到鉈-201心肌灌注掃描,因為衰減校正可增進冠狀動脈心臟病診斷之確定性 | zh_TW |
dc.description.abstract | Background and Objectives: Myocardial perfusion imaging (MPI) is well established diagnostic tool for coronary artery disease (CAD). However, the full clinical potential of MPI has not been realized due to many factors of artifacts, such as soft tissue attenuation. In this study we tried to improve diagnostic performance of MPI by additional computed tomography attenuation correction, using coronary angiography as the reference standard.
Methods: We included a group of 108 patients who underwent computed tomography attenuation corrected (CTAC) MPI and received coronary angiography within 3 months after MPI. Image analysis was done with 17 segments and a standard 5-point scoring system. Diagnostic performance was presented in sensitivity, specificity, receiver operating characteristic curve with area under curve (AUC). Subgroup analyses were performed by gender and overweight versus normal weight. Results: CTAC showed significant improvement of specificity when diagnosing patient level CAD, left anterior descending and left circumflex artery stenosis (0.62 vs 0.38, p=0.001; 0.56 vs 0.39, p=0.001; 0.76 vs 0.59, p<0.001, respectively), but no significant change in sensitivity. Resulting in improvement of AUC (0.79 vs 0.68, p<0.001; 0.75 vs 0.66, p<0.001; 0.73 vs 0.66, p=0.007). In right coronary artery territory, CTAC showed both significant improvement of specificity, and decline of sensitivity. Resulting in no significant change in AUC (CTAC 0.71, Non-attenuation correction 0.66, p=0.13). Conclusion: CTAC should be routinely applied to thallium-201 MPI, because it improved diagnostic certainty in CAD. | en |
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dc.description.tableofcontents | 口試委員會審定書 i
誌 謝 ii Abstract iii 摘 要 v Table of Contents vii TABLES xii FIGURES xiii Chapter One Introduction 1 1.1 Coronary Artery Disease 1 1.1.1 Epidemiology of Coronary Artery Disease 1 1.1.2 Diagnosis of Coronary Artery Disease 2 1.1.3 Physiology of Ischemia 3 1.2 Myocardial Perfusion Imaging 4 1.2.1 Principle 5 1.2.2 Radiopharmaceutical 6 1.2.3 Stress Test and Image Acquisition 11 1.2.4 Standardized Myocardial Segmentation and Nomenclature 13 1.2.5 Imaging Interpretation and Scoring 15 1.2.6 Artifacts and Pitfalls in Myocardial Perfusion Imaging 16 1.3 Attenuation and Attenuation Correction 18 1.3.1 Attenuation Artifacts 18 1.3.2 Analytic Attenuation Correction 20 1.3.3 Radionuclide Attenuation Correction (RAC) 20 1.3.4 Computed Tomography Attenuation Correction (CTAC) 21 1.3.5 Comparison of CTAC vs. RAC 22 1.4 Literature Review of Attenuation Correction in Myocardial Perfusion Imaging 23 1.4.1 Review Studies 23 1.4.2 Results of Meta-analysis 25 1.4.3 Research Gap 26 Chapter Two Study Aim 28 Chapter Three Materials and Methods 29 3.1 Study Design 29 3.1.1 Study Population 29 3.1.2 Inclusion and Exclusion Criteria 29 3.2 Stress Testing Protocol 30 3.3 Thallium-201 SPECT Image Acquisition and Reconstruction 31 3.4 Image Analysis 32 3.5 Coronary Angiography 34 3.6 Statistical Analysis 34 3.6.1 Descriptive Data 34 3.6.2 Patient Base and Vessel Base Data 35 3.6.3 Subgroup Analysis 37 3.6.4 Sample Size Estimation 38 Chapter Four Results 41 4.1 Included Patients 41 4.2 Clinical Characteristics 42 4.2.1 Descriptive Analysis 42 4.2.2 Coronary Angiography Results 43 4.3 Patient Base 44 4.3.1 Semi-quantitative Analysis 44 4.3.2 Overall Patient Base Diagnostic Performance 44 4.4 Vessel Base 46 4.4.1 Left Anterior Descending Artery Territory 46 4.4.2 Left Circumflex Artery Territory 47 4.4.3 Right Coronary Artery Territory 48 4.5 Segment Base:Change of Score of Each Segment after CTAC 49 4.6 Subgroup Analysis 50 4.6.1 Subgroup Analysis by Gender 50 4.6.2 Subgroup Analysis by Overweight and Normal Weight 51 Chapter Five Discussion 53 5.1 Main Findings 53 5.2 Comparison with Previous Studies 54 5.2.1 Sensitivity, Specificity and AUC/accuracy 54 5.2.2 Over-correction 56 5.2.3 Subgroup Analysis 58 5.3 Strengths and Limitations 59 5.3.1 Strengths 59 5.3.2 Limitations 60 5.4 Clinical Importance 61 5.5 Public Health Implication 62 Reference 63 Tables 72 Table 1 Diagnostic performance of non-invasive test for coronary artery disease 72 Table 2 Characteristics of reviewed studies. 73 Table 3 The pooled results of meta-analysis 74 Table 4 Sample Size Estimation 75 Table 5 Patient characteristics 76 Table 6 Characteristics of MPI score 77 Table 7 Coronary angiography results 78 Table 8 Comparison of SSS and SDS in CTAC and NAC images 79 Table 9 Two-by-two table of MPI diagnosing CAD at patient level 80 Table 10 Diagnostic Performance of CTAC and NAC at patient level 81 Table 11 Sensitivity, Specificity, PPV, NPV, LR and AUC of CTAC and NAC at vessel level 82 Table 12 Two-by-two table of MPI diagnosing LAD, LCX and RCA stenosis 83 Table 13 Subgroup Analysis by gender 84 Table 14 Subgroup Analysis by overweight and normal weight 86 Figures 88 Figure 1 Left ventricular segmentation 88 Figure 2 Demonstration of myocardial imaging 89 Figure 3 Summary ROC curves of CTAC, RAC, and NAC. 90 Figure 4 Study design and flowchart 91 Figure 5 ROC curve of CTAC and NAC at patient level 92 Figure 6 Demonstration of improvement of diagnosis after CTAC 93 Figure 7 ROC curve of CTAC and NAC when diagnosing LAD stenosis 94 Figure 8 ROC curve of CTAC and NAC when diagnosing LCX stenosis 95 Figure 9 ROC curve of CTAC and NAC when diagnosing RCA stenosis 96 Figure 10 Segmental Score Change after CTAC 97 Figure 11 Subgroup Analysis by BMI for diagnosing RCA stenosis 98 Figure 12 Algorithm of MPI for diagnosing CAD 99 | |
dc.language.iso | en | |
dc.title | 電腦斷層衰減校正鉈201心肌灌注掃描對於疑似冠狀動脈心臟病患者之診斷表現 | zh_TW |
dc.title | Diagnostic Performance of Computed Tomography Attenuation Corrected Thallium-201 Myocardial Perfusion Imaging among Patients with Suspected Coronary Artery Disease | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 吳彥雯,杜裕康,李文宗,顏若芳 | |
dc.subject.keyword | 心肌灌注掃描,衰減校正,冠狀動脈心臟病,接收者操作特徵曲線, | zh_TW |
dc.subject.keyword | myocardial perfusion imaging,attenuation correction,coronary artery disease,receiver operating characteristic curve, | en |
dc.relation.page | 99 | |
dc.identifier.doi | 10.6342/NTU201601449 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2016-08-01 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 流行病學與預防醫學研究所 | zh_TW |
顯示於系所單位: | 流行病學與預防醫學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
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ntu-105-1.pdf 目前未授權公開取用 | 2.09 MB | Adobe PDF |
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