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利用多模态成像数据对吸入气雾剂在肺部沉积的三维描述。

Three-dimensional description of pulmonary deposition of inhaled aerosol using data from multimodality imaging.

作者信息

Fleming J S, Halson P, Conway J, Moore E, Nassim M A, Hashish A H, Bailey A G, Holgate S T, Martonen T B

机构信息

Department of Medical Physics, Southampton General Hospital, UK.

出版信息

J Nucl Med. 1996 May;37(5):873-7.

PMID:8965167
Abstract

UNLABELLED

Three-dimensional assessment of pulmonary deposition of inhaled aerosol may be performed using SPECT. The use of aligned anatomical images enables improved accuracy of quantification and anatomical localization of deposition.

METHODS

Techniques of analyzing these data and their application to deposition studies of two nebulizer-generated aerosols (mass median diameter 1.5 and 6.5 microM respectively) in 12 normal subjects are described. The deposition data were transformed to a standard hemispherical shape and the mean distribution pattern for each aerosol evaluated. Deposition by airway generation was then calculated using a spatial model of airway morphology. The results were compared to those from planar image analysis.

RESULTS

The hemispherical transform yielded considerably more qualitative information on deposition pattern. The central-to-peripheral concentration ratio between conducting and alveolated airways was 5.27 for the coarser aerosol and 2.43 for the fine. The two-dimensional spatial estimates of the ratio were 2.61 and 2.03 respectively.

CONCLUSION

Analysis of multimodality imaging data considerably enhanced information on deposition compared to planar imaging. It provides new data on aerosol deposition which will be of value to physicians involved in drug inhalation therapy.

摘要

未标注

可使用单光子发射计算机断层扫描(SPECT)对吸入气雾剂的肺部沉积进行三维评估。使用对齐的解剖图像可提高沉积定量和解剖定位的准确性。

方法

描述了分析这些数据的技术及其在12名正常受试者中对两种雾化器产生的气雾剂(质量中值直径分别为1.5和6.5微米)沉积研究中的应用。将沉积数据转换为标准半球形,并评估每种气雾剂的平均分布模式。然后使用气道形态空间模型计算按气道代次的沉积情况。将结果与平面图像分析结果进行比较。

结果

半球形变换产生了关于沉积模式的更多定性信息。较粗气雾剂在传导气道和肺泡化气道之间的中心到周边浓度比为5.27,细气雾剂为2.43。该比值的二维空间估计值分别为2.61和2.03。

结论

与平面成像相比,多模态成像数据分析大大增强了关于沉积的信息。它提供了关于气雾剂沉积的新数据,这将对参与药物吸入治疗的医生有价值。

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