Computerized Analysis of Mesothelioma on CT Scans

CT 扫描间皮瘤的计算机分析

• 批准号: 7478308
• 负责人: Samuel G. Armato
• 金额: $ 7.7万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7478308
• 关键词: Address; Anatomy; Chest; Chest wall structure; Clinical Trials; Condition; Databases; Development; Disease; Disease Progression; Evaluation; Growth; Image; Location; Lung; Malignant Pleural Mesothelioma; Manuals; Measurement; Measures; Mediastinum; Mesothelioma; Methods; Microtomy; Neoplasm Metastasis; Patients; Pleura; Pleural; Pleural effusion disorder; Process; Rate; Research; Scanning; Severities; Spiral Computed Tomography; Staging; Structure; System; Techniques; Therapeutic Agents; Thick; Time; Treatment Protocols; X-Ray Computed Tomography; base; computerized; radiologist; response; size; tumor

The broad, long term objective of the proposed research is to develop a fully automated, computerized system that will assist radiologists in the quantitative assessment of pleural-based diseases in helical computed tomography (CT) scans. The objective disease quantification that such a system would produce is expected to provide valuable information regarding disease progression or the response of disease to treatment. This information would be used to guide patient treatment or gauge the efficacy of therapeutic agents during clinical trials. This specific study will focus on one particular pleural-based disease, malignant pleural mesothelioma. Radiologists must inspect the anatomic region between the lungs and the chest wall or the mediastinum on CT scans to evaluate the extent of mesothelioma, which presents as a thickening of the pleura. Currently, assessment of mesothelioma severity is based on manual measurements of the pleural thickness made at several image locations; this approach represents a coarse, tedious process that suffers from subjectivity and variability among observers who make the measurements. The development of automated and semi- automated methods that, in each hemithorax of a CT scan, delineate the lung border, delineate the chest wall and mediastinum, and quantify the differences between these anatomical structures as a measure of pleural thickness, is expected to facilitate the efficient, objective assessment of pleural thickness for the evaluation of mesothelioma tumor. The utility of such consistent methods is accentuated by their application to temporally sequential scans, in which a comparison of tumor size over time is made to determine the rate of disease progression or the response of disease to a specific treatment regimen. The hypothesis of this study is that computerized techniques can be developed to assist radiologists and clinicians in the reliable, consistent, and reproducible quantification of mesothelioma tumor as an objective parameter for initial staging and subsequent treatment response.

拟议的研究的广泛，长期目标是开发一个完全自动化的计算机 将协助放射科医生对螺旋中胸膜疾病进行定量评估的系统 计算机断层扫描（CT）扫描。这种系统会产生的客观疾病量化是 预计将提供有关疾病进展或疾病对 治疗。这些信息将用于指导患者治疗或衡量治疗的功效 临床试验中的代理。这项具体研究将重点放在一种特定的基于胸膜的疾病上 胸膜间皮瘤。 放射科医生必须检查肺与胸壁或纵隔之间的解剖区域 在CT扫描中，以评估间皮瘤的程度，在间皮瘤的程度上，它表现为胸膜增厚。现在， 间皮瘤严重程度的评估是基于对胸膜厚度的手动测量 几个图像位置；这种方法代表了一个粗糙，乏味的过程，该过程遭受主观性 进行测量的观察者之间的变异性。自动化和半的发展 自动化方法，在CT扫描的每个半胸膜中，都描绘了肺部边框，描绘了胸部 墙壁和纵隔，并量化这些解剖结构之间的差异作为量度 胸膜厚度有望促进对胸膜厚度的有效，客观评估 间皮瘤肿瘤的评估。这种一致方法的实用性突显了其应用 进行时间顺序的扫描，其中对肿瘤大小随时间进行比较以确定速率 疾病进展或疾病对特定治疗方案的反应。 这项研究的假设是可以开发计算机化技术来协助放射科医生和 对间皮瘤肿瘤的可靠，一致和可重复定量的临床医生作为客观 初始分期和随后的治疗反应的参数。