Computerized Analysis of Mesothelioma on CT Scans

描述（由申请人提供）：拟议研究的广泛长期目标是开发一种全自动计算机化系统，该系统将协助放射科医生在螺旋计算机断层扫描（CT）扫描中对胸膜疾病进行定量评估。这种系统将产生的客观疾病量化预计将提供有关疾病进展或疾病对治疗的反应的有价值的信息。这些信息将用于指导患者治疗或在临床试验期间衡量治疗药物的疗效。这项具体的研究将集中在一个特定的胸膜为基础的疾病，恶性胸膜间皮瘤。放射科医生必须在CT扫描上检查肺和胸壁或纵隔之间的解剖区域，以评估间皮瘤的程度，间皮瘤表现为胸膜增厚。目前，间皮瘤严重程度的评估是基于在几个图像位置进行的胸膜厚度的手动测量;这种方法代表了一种粗糙、繁琐的过程，其受到进行测量的观察者之间的主观性和可变性的影响。在CT扫描的每个半胸中，描绘肺边界，描绘胸壁和纵隔，并量化这些解剖结构之间的差异作为胸膜厚度的量度的自动化和半自动化方法的开发，预期有助于有效、客观地评估胸膜厚度以评价间皮瘤肿瘤。这种一致的方法的效用是强调其应用程序的时间顺序扫描，其中比较肿瘤大小随时间的推移，以确定疾病进展的速度或疾病对特定治疗方案的反应。本研究的假设是，计算机技术可以开发，以协助放射科医生和临床医生在可靠的，一致的，可重复的量化间皮瘤肿瘤作为一个客观参数的初始分期和随后的治疗反应。

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.