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基于计算机辅助放射学的肺癌鉴别诊断:当前技术水平

Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art.

作者信息

Sprindzuk M V, Kovalev V A, Snezhko E V, Kharuzhyk S A

机构信息

United Institute of Informatics Problems, Belarus National Academy of Sciences, Minsk, Belarus.

出版信息

Pol J Radiol. 2010 Jan;75(1):67-80.

Abstract

The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiology and an early diagnosis are discussed. The analysis of the performed research shows an evidence that various CAD systems can be successfully applied for chest radiographs, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). These modalities can serve as a useful tool for a practicing medical professional facing the burden of a routine diagnostic job.

摘要

现代计算机辅助诊断(CAD)的概念、肺结节检测方法以及从有关肺结节鉴别CAD主题的现有文献中得出的事实都汇编在一个资料来源中,并进行了详细描述。讨论了肺癌流行病学和早期诊断的几个问题。对所进行研究的分析表明,有证据表明各种CAD系统可成功应用于胸部X光片、计算机断层扫描(CT)、磁共振成像(MRI)、正电子发射断层扫描(PET)。这些检查方式对于面临日常诊断工作负担的执业医学专业人员而言可作为一种有用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9df/3389846/58509b70115f/poljradiol-75-1-67-g001.jpg

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