Lung micronodules: Automated method for detection at thin-section CT - Initial experience

被引：100

作者：

Brown, MS ^{[1
]}

Goldin, JG ^{[1
]}

Suh, RD ^{[1
]}

McNitt-Gray, MF ^{[1
]}

Sayre, JW ^{[1
]}

Aberle, DR ^{[1
]}

机构：

[1] Univ Calif Los Angeles, David Geffen Sch Med, Dept Radiol, Los Angeles, CA 90095 USA

来源：

RADIOLOGY | 2003年 / 226卷 / 01期

关键词：

computed tomography (CT); computer programs; image processing; computers; diagnostic aid; lung; nodule;

D O I：

10.1148/radiol.2261011708

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

An automated system was developed for detecting lung micronodules on thin-section computed tomographic images and was applied to data from 15 subjects with 77 lung nodules. The automated system, without user interaction, achieved a sensitivity of 100% for nodules (>3 mm in diameter) and 70% for micronodules (less than or equal to3 mm). With the same images, a radiologist detected nodules and micronodules with sensitivities of 91% and 51%, respectively, without system input. With assistance from the automated system, these sensitivities increased to 95% and 74%, respectively. Preliminary results indicate that the automated system considerably improved the radiologist's performance in micronodule detection. (C) RSNA, 2002.

引用

页码：256 / 262

页数：7

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