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

BMC Pulmonary Medicine

Steven Kesten¹  Norma Lowe¹  Joseph C Anderson¹  Erik Henne¹ 

[1]Uptake Medical®, 1173 Warner Ave, Tustin, CA, 92780, USA

关键词: Measurement lung volume reduction;    Mass;    Volume;    Computed tomography;    Software;    Emphysema;   

Others  :  1172476
DOI  :  10.1186/1471-2466-12-18

 received in 2011-07-18, accepted in 2012-05-02,  发布年份 2012

【 摘 要 】

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.

【 授权许可】

   
2012 Henne et al.; licensee BioMed Central Ltd.

【 图 表 】

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