Computerized Analysis of Mesothelioma on CT Scans

CT 扫描间皮瘤的计算机分析

• 批准号: 7237904
• 负责人: Samuel G. Armato
• 金额: $ 26.1万
• 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/7237904
• 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

DESCRIPTION (provided by applicant): 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.

描述（由申请人提供）：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系统，该系统将帮助放射科医生在螺旋计算机层析成像（CT）扫描中对基于胸膜的疾病进行定量评估。这种系统将产生的客观疾病量化有望提供有关疾病进展或疾病对治疗反应的有价值的信息。该信息将用于指导患者治疗或衡量临床试验期间治疗剂的功效。这项具体研究将重点介绍一种特定的基于胸膜的疾病，即恶性胸膜间皮瘤。放射科医生必须检查肺与胸壁之间的解剖区域或CT扫描中的纵隔，以评估间皮瘤的程度，间皮瘤的程度是胸膜的增厚。当前，间皮瘤严重程度的评估是基于对几个图像位置进行的胸膜厚度的手动测量。这种方法代表了一个粗糙，乏味的过程，该过程遭受了进行测量的观察者的主观性和可变性。自动化和半自动化方法的开发，在CT扫描的每个半胸膜中，都描绘了肺部边界，描绘了胸壁和纵隔，并量化了这些解剖结构之间的差异，以衡量胸膜厚度的度量，预计有效地评估了Plealurial厚度的有效，可促进Plealial厚度的物体评估。这种一致方法的效用是通过将其应用于时间顺序扫描的强调，在这种扫描中，随着时间的推移比较肿瘤大小以确定疾病进展的速度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帮助放射科医生和临床医生对间皮瘤肿瘤的可靠，一致且可再现的定量，作为初始分期和随后治疗反应的客观参数。