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A New Functional Method to Choose the Target Lobe for Lung Volume Reduction in Emphysema - Comparison with the Conventional Densitometric Method

机译:一种选择功能性肺气肿目标叶的新功能方法-与常规光密度法的比较

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摘要

Lung volume reduction (LVR) improves breathing mechanics by reducing hyperinflation. Lobar selection usually focuses on choosing the most destroyed emphysematous lobes as seen on an inspiratory CT scan. However, it has never been shown to what extent these densitometric CT parameters predict the least deflation of an individual lobe during expiration. The addition of expiratory CT analysis allows measurement of the extent of lobar air trapping and could therefore provide additional functional information for choice of potential treatment targets.To determine lobar vital capacity/lobar total capacity (LVC/LTC) as a functional parameter for lobar air trapping using on an inspiratory and expiratory CT scan. To compare lobar selection by LVC/LTC with the established morphological CT density parameters.36 patients referred for endoscopic LVR were studied. LVC/LTC, defined as delta volume over maximum volume of a lobe, was calculated using inspiratory and expiratory CT scans. The CT morphological parameters of mean lung density (MLD), low attenuation volume (LAV), and 15th percentile of Hounsfield units (15%P) were determined on an inspiratory CT scan for each lobe. We compared and correlated LVC/LTC with MLD, LAV, and 15%P.There was a weak correlation between the functional parameter LVC/LTC and all inspiratory densitometric parameters. Target lobe selection using lowest lobar deflation (lowest LVC/LTC) correlated with target lobe selection based on lowest MLD in 18 patients (50.0%), with the highest LAV in 13 patients (36.1%), and with the lowest 15%P in 12 patients (33.3%).CT-based measurement of deflation (LVC/LTC) as a functional parameter correlates weakly with all densitometric CT parameters on a lobar level. Therefore, morphological criteria based on inspiratory CT densitometry partially reflect the deflation of particular lung lobes, and may be of limited value as a sole predictor for target lobe selection in LVR.
机译:减少肺体积(LVR)通过减少过度充气来改善呼吸机制。肺叶选择通常着重于选择在吸气CT扫描中看到的破坏最严重的气肿叶。但是,从未显示这些光密度CT参数在呼气期间预测单个肺叶最小收缩的程度。呼气CT分析的添加可以测量大叶空气滞留的程度,因此可以为选择潜在治疗目标提供其他功能信息。确定大叶肺活量/大叶总容量(LVC / LTC)作为大叶空气的功能参数使用吸气和呼气CT扫描进行诱捕。为了比较LVC / LTC与已建立的形态学CT密度参数对大叶的选择。研究了36例接受内镜LVR的患者。 LVC / LTC(定义为肺叶最大体积上的增量体积)是使用吸气和呼气CT扫描计算得出的。通过吸气式CT扫描确定每个肺叶的平均肺密度(MLD),低衰减量(LAV)和15%的Hounsfield单位(15%P)的CT形态学参数。我们将LVC / LTC与MLD,LAV和15%P进行了比较和关联。功能参数LVC / LTC与所有吸气密度参数之间的相关性很弱。使用最低的肺叶放气(最低的LVC / LTC)进行的目标肺叶选择与基于18位患者(50.0%)的最低MLD,13位患者的最高LAV(36.1%)和最低15%P的目标肺叶选择相关12例患者(33.3%)。基于CT的放气量(LVC / LTC)作为功能参数,在大叶水平上与所有密度CT的检测参数均弱相关。因此,基于吸气式CT密度测定法的形态学标准部分反映了特定肺叶的放气,作为LVR中目标叶选择的唯一预测指标可能价值有限。

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