Quantification of lung damage in an elastase-induced mouse model of emphysema.
Quantification of lung damage in an elastase-induced mouse model of emphysema.
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DOI：
10.1155/2012/734734
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发表时间：
2012
影响因子：
7.6
通讯作者：
Ortiz-de-Solorzano C
中科院分区：
文献类型：
--
作者：
Muñoz-Barrutia A;Ceresa M;Artaechevarria X;Montuenga LM;Ortiz-de-Solorzano C
客观的。定义微计算机断层扫描 (micro-CT) 衍生描述符对弹性蛋白酶滴注引起的肺损伤进行量化的敏感性。材料和方法。在弹性蛋白酶滴注后 1、6、12 和 24 小时以及 7 和 17 天，使用 (i) 屏气门控微型 CT、(ii) 肺功能测试 (PFT)、(iii) RNA 细胞因子表达的 RT-PCR 和 (iv) 组织形态测定法对 30 只弹性蛋白酶处理小鼠和 30 只对照 A/J 小鼠的肺部进行分析。对于后者，实施了自动并行软件工具集，用于计算空域扩大描述符：平均线性截距（L m）和空域直径的加权平均值（D 0、D 1 和 D 2）。使用 D 2 作为基本事实，基于三个非组织学描述符来训练和测试支持向量分类器。结果。 D 2 在所有时间点均检测到组间存在统计学显着差异（P < 0.01）。此外，1小时（24小时）时的D 2 显着低于（P < 0.01）24小时（7天）时的D 2 。在微 CT 衍生描述符上训练的分类器实现了 0.95 的曲线下面积 (AUC)，远高于其他分类器（PFTS AUC = 0.71；细胞因子 AUC = 0.88）。结论。与其他方法相比，微 CT 衍生的描述符在检测体内疾病的早期迹象方面更敏感。
Objective. To define the sensitivity of microcomputed tomography- (micro-CT-) derived descriptors for the quantification of lung damage caused by elastase instillation. Materials and Methods. The lungs of 30 elastase treated and 30 control A/J mice were analyzed 1, 6, 12, and 24 hours and 7 and 17 days after elastase instillation using (i) breath-hold-gated micro-CT, (ii) pulmonary function tests (PFTs), (iii) RT-PCR for RNA cytokine expression, and (iv) histomorphometry. For the latter, an automatic, parallel software toolset was implemented that computes the airspace enlargement descriptors: mean linear intercept (L m) and weighted means of airspace diameters (D 0, D 1, and D 2). A Support Vector Classifier was trained and tested based on three nonhistological descriptors using D 2 as ground truth. Results. D 2 detected statistically significant differences (P < 0.01) between the groups at all time points. Furthermore, D 2 at 1 hour (24 hours) was significantly lower (P < 0.01) than D 2 at 24 hours (7 days). The classifier trained on the micro-CT-derived descriptors achieves an area under the curve (AUC) of 0.95 well above the others (PFTS AUC = 0.71; cytokine AUC = 0.88). Conclusion. Micro-CT-derived descriptors are more sensitive than the other methods compared, to detect in vivo early signs of the disease.