RATIONALE AND OBJECTIVES: This study investigated what factors radiologists take into account when estimating emphysema severity and assessed quantitative computed tomography (CT) measurements of low attenuation areas. MATERIALS AND METHODS: CT scans and spirometry were obtained on 1519 chronic obstructive pulmonary disease (COPD) subjects, 269 smoker controls, and 184 nonsmoker controls from the Evaluation of COPD Longitudinally to Indentify Surrogate Endpoints (ECLIPSE) study. CT scans were analyzed using the threshold technique (%<-950HU) and a low attenuation cluster analysis. Two radiologists scored emphysema severity (0 to 5 scale), described the predominant type and distribution of emphysema, and the presence of suspected small airways disease. RESULTS: The percent low attenuation area (%LAA) and visual scores of emphysema severity correlated well (r = 0.77, P < .001). %LAA, low attenuation cluster analysis, and absence of radiologist described gas trapping, distribution, and predominant type of emphysema were predictors of visual scores of emphysema severity (all P < .001). CT scans scored as showing regions of gas trapping had smaller lesions for a similar %LAA than those without (P < .001). CONCLUSIONS: Visual estimates of emphysema are not only determined by the extent of LAA, but also by lesion size, predominant type, and distribution of emphysema and presence/absence of areas of small airways disease. A computer analysis of low attenuation cluster size helps quantitative algorithms discriminate low attenuation areas from gas trapping, image noise, and emphysema.
RATIONALE AND OBJECTIVES: This study investigated what factors radiologists take into account when estimating emphysema severity and assessed quantitative computed tomography (CT) measurements of low attenuation areas. MATERIALS AND METHODS: CT scans and spirometry were obtained on 1519 chronic obstructive pulmonary disease (COPD) subjects, 269 smoker controls, and 184 nonsmoker controls from the Evaluation of COPD Longitudinally to Indentify Surrogate Endpoints (ECLIPSE) study. CT scans were analyzed using the threshold technique (%<-950HU) and a low attenuation cluster analysis. Two radiologists scored emphysema severity (0 to 5 scale), described the predominant type and distribution of emphysema, and the presence of suspected small airways disease. RESULTS: The percent low attenuation area (%LAA) and visual scores of emphysema severity correlated well (r = 0.77, P < .001). %LAA, low attenuation cluster analysis, and absence of radiologist described gas trapping, distribution, and predominant type of emphysema were predictors of visual scores of emphysema severity (all P < .001). CT scans scored as showing regions of gas trapping had smaller lesions for a similar %LAA than those without (P < .001). CONCLUSIONS: Visual estimates of emphysema are not only determined by the extent of LAA, but also by lesion size, predominant type, and distribution of emphysema and presence/absence of areas of small airways disease. A computer analysis of low attenuation cluster size helps quantitative algorithms discriminate low attenuation areas from gas trapping, image noise, and emphysema.
Authors: Yong Seek Kim; Gong Yong Jin; Kum Ju Chae; Young Min Han; Su Bin Chon; Young Sun Lee; Keun Sang Kwon; Hye Mi Choi Journal: Br J Radiol Date: 2015-09-21 Impact factor: 3.039
Authors: R Graham Barr; Eugene A Berkowitz; Francesca Bigazzi; Frederick Bode; Jessica Bon; Russell P Bowler; Caroline Chiles; James D Crapo; Gerard J Criner; Jeffrey L Curtis; Chandra Dass; Asger Dirksen; Mark T Dransfield; Goutham Edula; Leif Erikkson; Adam Friedlander; Maya Galperin-Aizenberg; Warren B Gefter; David S Gierada; Philippe A Grenier; Jonathan Goldin; MeiLan K Han; Nicola A Hanania; Nadia N Hansel; Francine L Jacobson; Hans-Ulrich Kauczor; Vuokko L Kinnula; David A Lipson; David A Lynch; William MacNee; Barry J Make; A James Mamary; Howard Mann; Nathaniel Marchetti; Mario Mascalchi; Geoffrey McLennan; James R Murphy; David Naidich; Hrudaya Nath; John D Newell; Massimo Pistolesi; Elizabeth A Regan; John J Reilly; Robert Sandhaus; Joyce D Schroeder; Frank Sciurba; Saher Shaker; Amir Sharafkhaneh; Edwin K Silverman; Robert M Steiner; Charlton Strange; Nicola Sverzellati; Joseph H Tashjian; Edwin J R van Beek; Lacey Washington; George R Washko; Gloria Westney; Susan A Wood; Prescott G Woodruff Journal: COPD Date: 2012-03-19 Impact factor: 2.409
Authors: Jered P Sieren; John D Newell; R Graham Barr; Eugene R Bleecker; Nathan Burnette; Elizabeth E Carretta; David Couper; Jonathan Goldin; Junfeng Guo; MeiLan K Han; Nadia N Hansel; Richard E Kanner; Ella A Kazerooni; Fernando J Martinez; Stephen Rennard; Prescott G Woodruff; Eric A Hoffman Journal: Am J Respir Crit Care Med Date: 2016-10-01 Impact factor: 21.405
Authors: Laura H Thomsen; Saher B Shaker; Asger Dirksen; Jesper H Pedersen; Ruth Tal-Singer; Per Bakke; Jørgen Vestbo Journal: Chronic Obstr Pulm Dis Date: 2015-05-19
Authors: David A Lynch; John H M Austin; James C Hogg; Philippe A Grenier; Hans-Ulrich Kauczor; Alexander A Bankier; R Graham Barr; Thomas V Colby; Jeffrey R Galvin; Pierre Alain Gevenois; Harvey O Coxson; Eric A Hoffman; John D Newell; Massimo Pistolesi; Edwin K Silverman; James D Crapo Journal: Radiology Date: 2015-05-11 Impact factor: 11.105