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.

建议对降低胆固醇进行补充分析 动脉粥样硬化研究 (CLAS) 冠状动脉数据库由 加州理工学院（Caltech）。 新冠系列 根据冠状动脉段大小调整的动脉粗糙度测量将是 根据血管直径数据重新计算。 一种新的粗糙度测量方法 还将基于分形数学进行计算。 的力量 段尺寸特定的粗糙度和分形导出的测量 区分药物治疗和对照受试者将与 传统的计算机衍生测量，例如病变狭窄百分比。 所有新的粗糙度测量都将与试验中的变化相关 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 个计算机衍生的 10,000 个单独的冠状动脉图像片段的描述符 基线和两年后的 50% 受试者随机样本（41 治疗，40对照）。 CLAS 调查人员现已公布证据 狭窄百分比测量显示显着 (p=.003) 考来替泊烟酸治疗在确认既往 CLAS 中的益处 人类小组读者的电影评价报告。 这个数据还显示 粗糙度测量 TD50 得到显着改善 (p=.02) 来自早期原始死后股骨血管造影校准 研究，后来大致按比例缩放到冠状动脉尺寸。 新的 研究中的粗糙度测量将根据原始冠状动脉边缘计算 点数据已存在于 CLAS 数据库中。 假设 专门针对冠状动脉调整的冠状血管边缘粗糙度测量 维度或基于分形数学将提供改进的 计算机化端点有可能减少样本量 未来的临床试验。