VESSEL EDGE ROUGHNESS IN CORONARY ANGIOGRAMS

冠状动脉造影中的血管边缘粗糙度

• 批准号: 2224467
• 负责人: ROBERT H SELZER
• 金额: $ 7.22万
• 依托单位: CALIFORNIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-25 至 1995-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2224467
• 关键词: angiography; apolipoproteins; blood lipid; blood lipoprotein; cardiovascular disorder chemotherapy; cholesterol; colestipol; coronary artery; human data; human population study; human therapy evaluation; mathematics; niacin; nutrition related tag; statistics /biometry

It is proposed that additional analyses of the Cholesterol Lowering Atherosclerosis Study (CLAS) coronary data base be carried out by the California Institute of Technology (Caltech). A series of new coronary artery roughness measures tuned to coronary segment size will be recomputed from vessel diameter data. A new class of roughness measures based on fractal mathematics will also be computed. The power of segment-size-specific roughness and fractal derived measures to discriminate drug treated and control subjects will be compared with conventional computer derived measures such as percent lesion stenosis. All new roughness measures will be correlated with on-trial changes in lipid, lipoprotein cholesterol and apolipoprotein levels. The CLAS coronary angiographic data base includes 25 computer derived descriptors for 10,000 individual coronary artery image segments at baseline and two years from a 50% random sample of subjects (41 treatment, 40 control). CLAS investigators are now publishing evidence that percent stenosis measures show significant (p=.003) colestipol-niacin therapy benefit in confirmation of previous CLAS reports of film evaluation by human panel readers. This data also shows significant (p=.02) improvement in a roughness measure, TD50, derived from the early original postmortem femoral angiographic calibration studies and later approximately scaled to coronary dimensions. The new roughness measures under study will be computed from raw coronary edge point data already in the CLAS data base. It is hypothesized that coronary vessel edge roughness measures specifically tuned to coronary dimensions or based on fractal mathematics will offer improved computerized endpoints with potential for reducing the sample size of future clinical trials.

建议对胆固醇降低的其他分析 动脉粥样硬化研究（CLAS）冠状动脉数据库由 加利福尼亚理工学院（加州理工学院）。 一系列新冠状动脉 调整为冠状动脉片段的动脉粗糙度措施将是 从血管直径数据中重新计算。 新的粗糙度措施 基于分形数学也将计算。 力量 细分尺寸的特定粗糙度和分形得出的措施 将药物治疗和对照组受试者与 常规计算机衍生的措施，例如病变狭窄百分比。 所有新的粗糙度措施都将与审判的变化相关 脂质，脂蛋白胆固醇和载脂蛋白水平。 CLAS冠状动脉造影数据库包括25台计算机 10,000个单个冠状动脉图像段的描述符 基线和两年的受试者随机样本（41个） 治疗，40控制）。 CLAS调查人员现在正在发布证据 狭窄措施的百分比显示出显着的意义（p = .003） Colestipol-Niacin疗法有益于确认以前的CLA 人类小组读者的电影评估报告。 此数据也显示 在粗糙度度量TD50中有显着（p = .02）的改进 从早期原始股后血管造影校准 研究，后来大约缩放到冠状动脉维度。 新的 研究的粗糙度措施将从原始冠状动脉边缘计算 点数据已经在CLAS数据库中。 假设 冠状动脉边缘粗糙度措施专门调整为冠状动脉 维度或基于分形数学的尺寸将提供改进 计算机端点，有可能减少样本量 未来的临床试验。