QUANTITATIVE FEATURES IN THE COMPUTED-TOMOGRAPHY OF HEALTHY LUNGS
QUANTITATIVE FEATURES IN THE COMPUTED-TOMOGRAPHY OF HEALTHY LUNGS
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DOI：
10.1136/thx.43.2.120
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发表时间：
1988-02-01
期刊：
影响因子：
10
通讯作者：
DENISON, DM
中科院分区：
文献类型：
--
作者：
FROMSON, BH;DENISON, DM
这项研究旨在确定是否可以确定肺部计算机断层扫描的定量特征，从而确定一个严格定义的正常范围，用于评估患者。对14名肺部健康的正常人进行了研究。开发了一种从计算机断层扫描中快速、自动地提取肺野数据的技术。构建了Hounsfield单位直方图，当对预测的肺体积进行归一化时，显示出所有受试者的形状一致。设计了数据的三维“网络图”形式，并由此推导出每个肺切片的面积与其平均密度之间的对数关系(r=0.90，n=545，p<；0.0001)。剩余密度，即测量密度与由面积关系预测的密度之间的差值，显示为正态分布，平均值为0，标准差为25 Hounsfield单位(X2检验：P<；0.05)。描述了将该剩余密度与网格图相结合的表示法。
This study set out to determine whether quantitative features of lung computed tomography scans could be identified that would lead to a tightly defined normal range for use in assessing patients. Fourteen normal subjects with apparently healthy lungs were studied. A technique was developed for rapid and automatic extraction of lung field data from the computed tomography scans. The Hounsfield unit histograms were constructed and, when normalised for predicted lung volumes, shown to be consistent in shape for all the subjects. A three dimensional presentation of the data in the form of a "net plot" was devised, and from this a logarithmic relationship between the area of each lung slice and its mean density was derived (r = 0.9, n = 545, p < 0.0001). The residual density, calculated as the difference between measured density and density predicted fromthe relationship with area, was shown to be normall y distributed with a mean of 0 and a standard deviation of 25 Hounsfield units (X2 test: p < 0.05). A presentation combining this residual density with the net plot is described.