Recent progress in computer-aided diagnosis of lung nodules on thin-section CT

被引：84

作者：

Li, Qiang ^{[1
]}

机构：

[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2007年 / 31卷 / 4-5期

关键词：

nodule; computer-aided diagnosis; computed tomography; detection; characterization; observer performance study;

D O I：

10.1016/j.compmedimag.2007.02.005

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Computer-aided diagnosis (CAD) provides a computer output as a "second opinion" in order to assist radiologists in the diagnosis of various diseases on medical images. Currently, a significant research effort is being devoted to the detection and characterization of lung nodules in thin-section computed tomography (CT) images, which represents one of the newest directions of CAD development in thoracic imaging. We describe in this article the current status of the development and evaluation of CAD schemes for the detection and characterization of lung nodules in thin-section CT. We also review a number of observer performance studies in which it was attempted to assess the potential clinical usefulness of CAD schemes for nodule detection and characterization in thin-section CT. Whereas current CAD schemes for nodule characterization have achieved high performance levels and would be able to improve radiologists' performance in the characterization of nodules in thin-section CT, current schemes for nodule detection appear to report many false positives, and, therefore, significant efforts are needed in order further to improve the performance levels of current CAD schemes for nodule detection in thin-section CT. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：248 / 257

页数：10

共 83 条

[1] Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images [J].