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肺结节:使用三维 CT 图像评估结节周长差异来近似椭圆形的定量诊断方法。

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

机构信息

Department of Radiology, Faculty of Medicine, University of the Ryukyus, Nishihara-cho, Okinawa, Japan.

出版信息

Clin Imaging. 2011 Mar-Apr;35(2):123-6. doi: 10.1016/j.clinimag.2010.03.007.

Abstract

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.

摘要

本研究旨在探讨最大结节周长与近似椭圆形的差异是否可以区分良恶性结节。通过对每个肺结节三个方向的容积再现图像进行测量,得到最大结节周长与近似椭圆形的差异。然后手动追踪边缘,我们的自定义软件自动描绘出近似椭圆形。恶性结节的最大结节周长差为 26.5±23.3mm,良性结节为 16.6±16.9mm,差异几乎具有统计学意义(P=.07)。本研究表明,恶性结节的最大结节周长与近似椭圆形的差异有倾向于比良性结节更长。

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