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小的孤立性肺结节的计算机辅助鉴别诊断

Computer-aided differential diagnosis of small solitary pulmonary nodules.

作者信息

Belikova T P, Yashunskaya N I, Kogan E A

机构信息

Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.

出版信息

Comput Biomed Res. 1996 Feb;29(1):48-62. doi: 10.1006/cbmr.1996.0005.

Abstract

A new digital processing method was developed to improve the specific diagnosis of small (up to 3 cm) solitary pulmonary nodules on lung tomograms. The proposed method gives advanced imaging of diagnostically important details and structures of the nodule. It helps the physician easily identify known diagnostic features and discover some additional ones that are useful for reliable verification of cancer, tuberculoma, and hamartoma. X-Ray morphological comparison confirmed that all details, displayed on the processed tomogram, corresponded to morphological structures on postsurgical histotopograms. The method can give additional information to data from conventional and computed tomography, especially in the case of small radiographically indeterminate pulmonary opacities.

摘要

一种新的数字处理方法被开发出来,以改善对肺部断层扫描上小的(最大3厘米)孤立性肺结节的特异性诊断。所提出的方法能对结节的重要诊断细节和结构进行高级成像。它有助于医生轻松识别已知的诊断特征,并发现一些其他有助于可靠鉴别癌症、结核瘤和错构瘤的特征。X射线形态学比较证实,处理后的断层扫描上显示的所有细节都与术后组织拓扑图上的形态结构相对应。该方法可以为传统和计算机断层扫描数据提供额外信息,尤其是在影像学上难以确定的小的肺部混浊的情况下。

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