Pulmonary nodules: a quantitative method of diagnosis by evaluating nodule perimeter difference to approximate oval using three-dimensional CT images

被引:2
|
作者
Kamiya, Hisashi [1 ]
Murayama, Sadayuki [1 ]
Kakinohana, Yasumasa [1 ]
Miyara, Tetsuhiro [1 ]
机构
[1] Univ Ryukyus, Dept Radiol, Fac Med, Nishihara, Okinawa 9030215, Japan
关键词
CT; Three-dimensional image; Computer-aided diagnosis; Lung cancer; Pulmonary nodule; HIGH-RESOLUTION CT; COMPUTER-AIDED DIAGNOSIS; THIN-SECTION CT; LUNG-CANCER; BENIGN; CLASSIFICATION; DIFFERENTIATION; LESIONS;
D O I
10.1016/j.clinimag.2010.03.007
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
The purpose of this study was to investigate whether maximum nodule perimeter to the approximate oval could discriminate benign nodules from malignancy. Measurement of maximum nodule perimeter difference to the approximate oval was performed using volume-rendering images of three directions of each pulmonary nodule. The margin was then traced manually and our custom software delineated the approximate oval automatically. The maximum nodule perimeter difference was 26.5 +/- 23.3 mm for malignant and 16.6 +/- 16.9 mm for benign nodules, showing an almost statistically significant difference (P=.07). This study suggests that the maximum nodule perimeter difference to the approximate oval of the malignant nodules has a tendency to be longer than benign nodules. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:123 / 126
页数:4
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