PACS FOR THORACIC IMAGING

许多因素在塑造当代 胸部放射学实践。 首先，胸部成像数据是 越来越数字化，这使得定量图像分析 一个实际的目标。 第二，胸部放射科会诊， 肿瘤学的多学科环境要求越来越多的 数据被抽象，索引，链接，并有效地沟通， 分布式环境。 尽管有一些分析和 支持这些需求所需的信息管理工具已经存在， 在PACS的电子基础设施中， 临床上可接受的。 我们建议扩展PACS的功能 超越其历史作用，以提高研究和临床需求， 胸部成像提供：（1）图像分析工具，以提取 来自与呼吸相关的图像数据的定量信息 功能以及肿瘤体积;和（2）基于PACS的信息 处理工具，以整合所有相关的多媒体数据 癌症患者的管理。 这将通过开发基于PAC的分析软件来实现， 解决气流患者的特定生理问题 障碍以及基于知识的肿瘤测量方法 和肺容量。 此外，还将提供肿瘤成像时间线 为肺癌患者开发的诊断相关指数 图像数据与来自其他数据库的文本和数字数据， 电子病历。 使用先进的数据集成软件和 自动自由文本分析例程，一个多媒体摘要将 癌症患者的进展可以有效地 追踪. 解决这些PACS应用将促进以下方面的发展： 现代PACS技术的结构，从网络 从工作站设计到复杂的数据管理。

A number of factors have been instrumental in shaping contemporary thoracic radiologic practice. First, thoracic imaging data is increasingly digital in nature, which has made quantitative image analysis a practical goal. Secondly, thoracic radiology consultation within the multidisciplinary setting of oncology demands that increasing amounts of data be abstracted, indexed, linked, and efficiently communicated within a distributed environment. Although some of the analytical and information management tools required to support these needs exist, it is within the electronic infrastructure of PACS that they become practical and clinically accessible. We propose to expand the capabilities of PACS beyond its historical role to enhance the research and clinical needs of thoracic imaging by providing: (1) image analysis tools to extract quantitative information from image data pertaining to respiratory function as well as tumor volumes; and (2) PACS-based information processing tools to integrate all of the multimedia data relevant to the management of cancer patients. This will be accomplished by developing PACS-based analytical software to address specific physiologic questions in patients with airflow obstruction as well as knowledge-based methods for the measure of tumor and lung volumes. In addition, an Oncology Imaging Time Line will be developed for lung cancer patients that indexes diagnostically relevant image data with textual and numerical data from other databases in the electronic medical record. Using advanced data integration software and automated free text analysis routines, a multimedia summary will be generated by which the progress of cancer patients can be efficiently tracked. Addressing these PACS applications will stimulate advances in the very fabric of contemporary PACS technology, ranging from network strategies to workstation design to sophisticated data management.