QUANTITATIVE IMAGE ANALYSIS STUDY OF SICKLE CELLS

镰状细胞的定量图像分析研究

• 批准号: 3365126
• 负责人: LEON L WHEELESS
• 金额: $ 36.45万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-02-01 至 1994-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3365126
• 关键词: biomedical automation; blood disorder diagnosis; clinical biomedical equipment; clinical trials; cytodiagnosis; disease /disorder classification; hematology; human subject; image processing; patient monitoring device; sickle cell anemia; sickling inhibitor; thalassemia; biomedical automation; blood disorder diagnosis; clinical biomedical equipment; clinical trials; cytodiagnosis; disease /disorder classification; hematology; human subject; image processing; patient monitoring device; sickle cell anemia; sickling inhibitor; thalassemia

The primary goal is to develop and utilize quantitative high resolution image analyses techniques for the analysis and classification of blood samples from sickle cell patients. Specific tasks include: 1) refining classification features and algorithms through the creation of an image data base containing cell images together with specific clinical information and a consensus diagnosis on each cell; 2) developing an automated instrument for classifying blood cells into categories of normal (discocyte), abnormal (poikilocyte) and sickle, as defined by human observers; 3) studying subpopulations of normal and sickle cells identified through clustering, partitioning and multivariate graphical techniques; 4) studying cell features, subpopulations, and cell classification from specimen aliquots obtained by fractionation techniques and from cells exposed to various levels of oxygenation and deoxygenation; 5) studying and correlating quantitative cellular features from specimens obtained longitudinally during the course of randomized clinical trials with clinical course and outcome as provided by standardized assessment measures to seek quantitative features providing clinically useful information; 6) utilizing quantitative features providing to study heterogeneity of disease and heterogeneity of response to therapy; 7) comparing cellular features from SS with those from other double heterozygous forms of sickle cell disease: SC, SB+ Thalassemia, SBo Thalassemia; 8) assisting in the application of quantitative image analysis techniques in screening potential new antisickling agents; and 9) studying slit-scan light scatter to determine the utility of this technique in the analysis of sickle cells. Specimens for all studies will be obtained during the course of a randomized clinical trial at three institutions, and from the patient populations attending two sickle cell centers. The results of these studies should enhance the monitoring of patients in clinical trials, the testing of large numbers of potential antisickling agents, the analysis of drug effects, and provide information of clinical utility.

主要目标是开发和利用定量高分辨率 图像分析血液分析和分类的技术 镰状细胞患者的样本。 特定任务包括：1）精炼 通过创建图像的分类功能和算法 包含细胞图像的数据库以及特定的临床 在每个细胞上的信息和共识诊断； 2）开发一个 将血细胞分为正常类别的自动化仪器 （圆盘细胞），异常（poikilocyte）和镰状，如人类所定义 观察者； 3）研究鉴定出正常和镰状细胞的亚群 通过聚类，分区和多元图形技术； 4） 研究细胞特征，亚群和细胞分类 通过分馏技术和细胞获得的标本等分试样 暴露于各种水平的氧合和脱氧化； 5）学习和 从获得的标本中相关的定量细胞特征 在随机临床试验过程中，纵向 标准化评估措施提供的临床课程和结果 寻求提供临床上有用信息的定量功能； 6） 利用提供研究疾病异质性的定量特征 和对治疗反应的异质性； 7）比较细胞特征 来自其他双重杂合形式的镰状细胞的SS 疾病：SC，SB+ Thalassya，SBO Thalassyapia; 8）协助 定量图像分析技术在筛选中的应用 潜在的新反智力剂； 9）研究裂缝光散射 确定该技术在分析镰状细胞中的效用。 所有研究的标本将在一个过程中获得 在三个机构和患者的随机临床试验 人群参加了两个镰状细胞中心。 这些结果 研究应加强对临床试验中患者的监测， 测试大量潜在的反质剂，分析 药物作用，并提供临床实用性的信息。