Interstitial lung disease - A quantitative study using the adaptive multiple feature method
Interstitial lung disease - A quantitative study using the adaptive multiple feature method
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DOI：
10.1164/ajrccm.159.2.9707145
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发表时间：
1999-02-01
影响因子：
24.7
通讯作者：
McLennan, G
中科院分区：
文献类型：
--
作者：
Uppaluri, R;Hoffman, EA;McLennan, G
我们之前描述了一种自适应多特征方法（AMFM），用于客观评估肺实质的整体和区域变化以检测肺气肿。这种计算机化方法结合统计和分形纹理特征，根据高分辨率计算机断层扫描 (HRCT) 扫描来表征肺组织。本研究是 AMFM 的实质性扩展，可同时区分多种肺部疾病过程。对正常受试者和患有肺气肿、特发性肺纤维化（IPF）或结节病的受试者进行了研究。将 AMFM 与当前使用的两种基于计算机的方法进行了比较：平均肺密度 (MLD) 和直方图分析 (HIST)。在全球范围内，比较两个受试者组时，AMFM 的总体准确度比 MLD 的总体准确度高出 2% 至 18%，比 HIST 方法的准确度高出 36%。在三主题组区分任务中，AMFM 的表现比 MLD 方法好 7% 到 27%，比 HIST 方法好 4% 到 36%。最后，在一次区分所有四个主题组时，AMFM 的总体准确率为 81%，比 MLD 方法好 21%，比 HIST 方法好 25%。在大多数三受试者组比较和四受试者组比较中，AMFM 显着 (p < 0.01) 优于 MLD 和 HIST 方法。接下来，AMFM 被应用于正常组和每个疾病组之间的局部区分。区分正常与肺气肿、正常与 IPF 以及正常与结节病样本的准确度分别为 95%、86% 和 77%。 AMFM 是一种客观的定量方法，可用于成功区分多种实质肺疾病。
We have previously described an adaptive multiple feature method (AMFM) for the objective assessment of global and regional changes in pulmonary parenchyma to detect emphysema. This computerized method uses a combination of statistical and fractal texture features for characterization of lung tissues based upon high resolution computed tomography (HRCT) scans. This present study was a substantial extension of the AMFM to simultaneously discriminate between multiple pulmonary disease processes. Normal subjects and those with emphysema, idiopathic pulmonary fibrosis (IPF), or sarcoidosis were studied. The AMFM was compared with two currently utilized computer-based methods: mean lung density (MLD) and the histogram analysis (HIST). Globally, when comparing two-subject groups the AMFM overall accuracy was 2 to 18% better than the overall accuracy of MLD and as much as 36% better than the accuracy of the HIST methods. In three-subject group discrimination tasks, the AMFM performed 7 to 27% better than the MLD and 4 to 36% better than the HIST methods. Finally in discriminating all four subject groups at a time, the AMFM overall accuracy was 81%, which was 21% better than the MLD and 25% better than the HIST method. In most three-subject group comparisons and in the four-subject group comparison, the AMFM was significantly (p < 0.01) better than the MLD and HIST methods. Next, the AMFM was applied to local discrimination between normal and each disease group individually. The normal versus emphysema, normal versus IPF, and normal versus sarcoidosis samples were discriminated with an accuracy of 95, 86, and 77%, respectively. The AMFM is an objective quantitative method that can be adapted for successful discrimination of multiple parenchymal lung diseases.