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Comparison of human lung tissue mass measurements from Ex Vivo lungs and high resolution CT software analysis

机译:exVivo肺部人肺组织质量测量的比较和高分辨率CT软件分析

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Background Quantification of lung tissue via analysis of computed tomography (CT) scans is increasingly common for monitoring disease progression and for planning of therapeutic interventions. The current study evaluates the quantification of human lung tissue mass by software analysis of a CT to physical tissue mass measurements. Methods Twenty-two ex vivo lungs were scanned by CT and analyzed by commercially available software. The lungs were then dissected into lobes and sublobar segments and weighed. Because sublobar boundaries are not visually apparent, a novel technique of defining sublobar segments in ex vivo tissue was developed. The tissue masses were then compared to measurements by the software analysis. Results Both emphysematous (n?=?14) and non-emphysematous (n?=?8) bilateral lungs were evaluated. Masses (Mean?±?SD) as measured by dissection were 651?±?171?g for en bloc lungs, 126?±?60?g for lobar segments, and 46?±?23?g for sublobar segments. Masses as measured by software analysis were 598?±?159?g for en bloc lungs, 120?±?58?g for lobar segments, and 45?±?23?g for sublobar segments. Correlations between measurement methods was above 0.9 for each segmentation level. The Bland-Altman analysis found limits of agreement at the lung, lobe and sublobar levels to be ?13.11% to ?4.22%, –13.59% to 4.24%, and –45.85% to 44.56%. Conclusion The degree of concordance between the software mass quantification to physical mass measurements provides substantial evidence that the software method represents an appropriate non-invasive means to determine lung tissue mass.
机译:通过计算断层扫描分析(CT)扫描的肺组织的背景用于监测疾病进展和针对治疗干预措施越来越常见。目前的研究评估了通过CT对物理组织质量测量的软件分析来评估人肺组织物质的定量。方法通过CT扫描二十二个离体肺,并通过市售软件分析。然后将肺部溶解成叶片和脱叶叶片并称重。由于索伯巴尔边界在视觉上显而易见的是,开发了一种在离体组织中定义索伯巴尔段的新技术。然后将组织块与软件分析进行测量。评估了顽固(N?=α14)和非顽固性(N?=?8)双侧肺。通过解剖测量的质量(平均值?±αSD)为Zhoc肺的651°?171?171μg,126?±60?叶片段,46?±23Ω·杜布罗巴段。通过软件分析测量的群众为598?±159?g为Zhoc肺,120?±58?对于叶片区段,45?±23μg,用于索伯巴段。对于每个分割水平,测量方法之间的相关性高于0.9。 Bland-Altman分析发现肺,叶和苏布罗巴尔水平的一致性限制为13.11%至4.22%,-13.59%至4.24%,-45.85%至44.56%。结论软件质量定量与物理质量测量之间的一致性提供了大量证据,即软件方法代表了确定肺组织质量的适当的非侵入性手段。

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