Paired inspiratory-expiratory chest CT scans to assess for small airways disease in COPD.
Paired inspiratory-expiratory chest CT scans to assess for small airways disease in COPD.
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DOI:
10.1186/1465-9921-14-42
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发表时间:
2013-04-08
影响因子:
5.8
通讯作者:
COPDGene Investigators
中科院分区:
文献类型:
--
作者:
Hersh CP;Washko GR;Estépar RS;Lutz S;Friedman PJ;Han MK;Hokanson JE;Judy PF;Lynch DA;Make BJ;Marchetti N;Newell JD Jr;Sciurba FC;Crapo JD;Silverman EK;COPDGene Investigators
Gas trapping quantified on chest CT scans has been proposed as a surrogate for small airway disease in COPD. We sought to determine if measurements using paired inspiratory and expiratory CT scans may be better able to separate gas trapping due to emphysema from gas trapping due to small airway disease. Smokers with and without COPD from the COPDGene Study underwent inspiratory and expiratory chest CT scans. Emphysema was quantified by the percent of lung with attenuation < −950HU on inspiratory CT. Four gas trapping measures were defined: (1) Exp−856, the percent of lung < −856HU on expiratory imaging; (2) E/I MLA, the ratio of expiratory to inspiratory mean lung attenuation; (3) RVC856-950, the difference between expiratory and inspiratory lung volumes with attenuation between −856 and −950 HU; and (4) Residuals from the regression of Exp−856 on percent emphysema. In 8517 subjects with complete data, Exp−856 was highly correlated with emphysema. The measures based on paired inspiratory and expiratory CT scans were less strongly correlated with emphysema. Exp−856, E/I MLA and RVC856-950 were predictive of spirometry, exercise capacity and quality of life in all subjects and in subjects without emphysema. In subjects with severe emphysema, E/I MLA and RVC856-950 showed the highest correlations with clinical variables. Quantitative measures based on paired inspiratory and expiratory chest CT scans can be used as markers of small airway disease in smokers with and without COPD, but this will require that future studies acquire both inspiratory and expiratory CT scans.
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影响因子:
10
作者:
Martinez CH;Chen YH;Westgate PM;Liu LX;Murray S;Curtis JL;Make BJ;Kazerooni EA;Lynch DA;Marchetti N;Washko GR;Martinez FJ;Han MK;COPDGene Investigators
通讯作者:
COPDGene Investigators
影响因子:
5
作者:
Matsuoka, Shin;Kurihara, Yasuyuki;Nakajima, Yasuo
通讯作者:
Nakajima, Yasuo
影响因子:
158.5
作者:
HOGG, JC;MACKLEM, PT;THURLBECK, WM
通讯作者:
THURLBECK, WM
影响因子:
5.9
作者:
Mets OM;Murphy K;Zanen P;Gietema HA;Lammers JW;van Ginneken B;Prokop M;de Jong PA
通讯作者:
de Jong PA
影响因子:
9.6
作者:
Busacker A;Newell JD Jr;Keefe T;Hoffman EA;Granroth JC;Castro M;Fain S;Wenzel S
通讯作者:
Wenzel S