Literature DB >> 26029738

PHYSIOLOGIC AND QUANTITATIVE COMPUTED TOMOGRAPHY DIFFERENCES BETWEEN CENTRILOBULAR AND PANLOBULAR EMPHYSEMA IN COPD.

Nicola Sverzellati1, David A Lynch2, Massimo Pistolesi3, Hans-Ulrich Kauczor4, P A Grenier5, C Wilson6, J D Crapo7.   

Abstract

BACKGROUND: The purpose was to define the differences between centrilobular (CLE) and panlobular emphysema (PLE) phenotypes in cigarette smokers with COPD by a combined qualitative-quantitative computed tomography (CT) analysis.
METHODS: Chest CT scans of 116 cigarette smokers were visually scored by 22 chest radiologists and 29 pulmonologists in a single setting for the predominant emphysema phenotype (e.g. CLE or PLE) and automatically quantified for emphysema{% low attenuation area (LAA) ≤ -950 HU - %LAAinsp-950, gas trapping extent and bronchial metrics{wall area % for segmental (%WAsegm) and subsegmental (%WAsubsegm) bronchi}. These quantitative CT indexes were compared and related to FEV1, FEV1/FVC, and smoking history as stratified for emphysema phenotype.
RESULTS: Although more frequent than CLE in GOLD stages 3 and 4 (p = 0.01), PLE was also scored in 38.2% of combined GOLD stages 1 and 2. PLE was positively associated with %LAAinsp-950 (OR = 1.18, 95% CI: 1.12 to 1.27, β coefficient = 0.17, p = <0.0001) and negatively associated with pack-years of smoking (OR = 0.97, 95% CI: 0.95 to 0.99, β coefficient = -0.02, p = 0.03). Both %WAsegm and %WAsubsegm were more strongly associated with FEV1% (R2 = 0.6 for both measures, p< 0.001) in CLE as compared to PLE (R2= 0.15, p = 0.02; R2 = 0.26, p< 0.001).
CONCLUSIONS: PLE likely represents a more advanced phase of emphysema, which may also occur in earlier COPD stages and show different interplay with airway disease as compared to CLE.

Entities:  

Year:  2014        PMID: 26029738      PMCID: PMC4447143          DOI: 10.15326/jcopdf.1.1.2014.0114

Source DB:  PubMed          Journal:  Chronic Obstr Pulm Dis        ISSN: 2372-952X


  33 in total

1.  Centrilobular and panlobular emphysema in smokers. Two distinct morphologic and functional entities.

Authors:  W D Kim; D H Eidelman; J L Izquierdo; H Ghezzo; M P Saetta; M G Cosio
Journal:  Am Rev Respir Dis       Date:  1991-12

2.  A combined pulmonary-radiology workshop for visual evaluation of COPD: study design, chest CT findings and concordance with quantitative evaluation.

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

3.  Mortality by level of emphysema and airway wall thickness.

Authors:  Ane Johannessen; Trude Duelien Skorge; Matteo Bottai; Thomas Blix Grydeland; Roy Miodini Nilsen; Harvey Coxson; Asger Dirksen; Ernst Omenaas; Amund Gulsvik; Per Bakke
Journal:  Am J Respir Crit Care Med       Date:  2013-01-17       Impact factor: 21.405

4.  The association between small airway obstruction and emphysema phenotypes in COPD.

Authors:  Won-Dong Kim; Sean H Ling; Harvey O Coxson; John C English; John Yee; Robert D Levy; Peter D Paré; James C Hogg
Journal:  Chest       Date:  2007-02-22       Impact factor: 9.410

5.  Mast cell infiltration discriminates between histopathological phenotypes of chronic obstructive pulmonary disease.

Authors:  Andrea Ballarin; Erica Bazzan; Rafael Hernandez Zenteno; Graziella Turato; Simonetta Baraldo; Dora Zanovello; Elena Mutti; James C Hogg; Marina Saetta; Manuel G Cosio
Journal:  Am J Respir Crit Care Med       Date:  2012-06-07       Impact factor: 21.405

6.  Characterisation of phenotypes based on severity of emphysema in chronic obstructive pulmonary disease.

Authors:  Hironi Makita; Yasuyuki Nasuhara; Katsura Nagai; Yoko Ito; Masaru Hasegawa; Tomoko Betsuyaku; Yuya Onodera; Nobuyuki Hizawa; Masaharu Nishimura
Journal:  Thorax       Date:  2007-06-15       Impact factor: 9.139

7.  Quantitative assessment of air trapping in chronic obstructive pulmonary disease using inspiratory and expiratory volumetric MDCT.

Authors:  Shin Matsuoka; Yasuyuki Kurihara; Kunihiro Yagihashi; Makoto Hoshino; Naoto Watanabe; Yasuo Nakajima
Journal:  AJR Am J Roentgenol       Date:  2008-03       Impact factor: 3.959

8.  Prediction of the rate of decline in FEV(1) in smokers using quantitative Computed Tomography.

Authors:  R Yuan; J C Hogg; P D Paré; D D Sin; J C Wong; Y Nakano; A M McWilliams; S Lam; H O Coxson
Journal:  Thorax       Date:  2009-09-03       Impact factor: 9.139

9.  CT metrics of airway disease and emphysema in severe COPD.

Authors:  Woo Jin Kim; Edwin K Silverman; Eric Hoffman; Gerard J Criner; Zab Mosenifar; Frank C Sciurba; Barry J Make; Vincent Carey; Raúl San José Estépar; Alejandro Diaz; John J Reilly; Fernando J Martinez; George R Washko
Journal:  Chest       Date:  2009-05-01       Impact factor: 9.410

10.  Chronic obstructive pulmonary disease exacerbations in the COPDGene study: associated radiologic phenotypes.

Authors:  Meilan K Han; Ella A Kazerooni; David A Lynch; Lyrica X Liu; Susan Murray; Jeffrey L Curtis; Gerard J Criner; Victor Kim; Russell P Bowler; Nicola A Hanania; Antonio R Anzueto; Barry J Make; John E Hokanson; James D Crapo; Edwin K Silverman; Fernando J Martinez; George R Washko
Journal:  Radiology       Date:  2011-07-25       Impact factor: 11.105

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  6 in total

1.  Biomechanical CT metrics are associated with patient outcomes in COPD.

Authors:  Sandeep Bodduluri; Surya P Bhatt; Eric A Hoffman; John D Newell; Carlos H Martinez; Mark T Dransfield; Meilan K Han; Joseph M Reinhardt
Journal:  Thorax       Date:  2017-01-02       Impact factor: 9.139

2.  Panlobular Emphysema: Enhancing Visibility with Quantitative Computed Tomography.

Authors:  Surya P Bhatt
Journal:  Chronic Obstr Pulm Dis       Date:  2016-05-23

Review 3.  Phenotype of Chronic Obstructive Pulmonary Disease Based on Computed Tomography-Defined Underlying Pathology.

Authors:  Won-Dong Kim
Journal:  Tuberc Respir Dis (Seoul)       Date:  2022-07-13

4.  Association Between Air Pollution and Lung Lobar Emphysema in COPD.

Authors:  Nguyen Thanh Tung; Shu-Chuan Ho; Yueh-Hsun Lu; Tzu-Tao Chen; Kang-Yun Lee; Kuan-Yuan Chen; Chih-Da Wu; Kian Fan Chung; Han-Pin Kuo; Huynh Nguyen Xuan Thao; Hoang Ba Dung; Tran Phan Chung Thuy; Sheng-Ming Wu; Hsiao-Yun Kou; Yueh-Lun Lee; Hsiao-Chi Chuang
Journal:  Front Med (Lausanne)       Date:  2021-09-21

5.  Bullous Parametric Response Map for Functional Localization of COPD.

Authors:  Kuo-Lung Lor; Yeun-Chung Chang; Chong-Jen Yu; Cheng-Yi Wang; Chung-Ming Chen
Journal:  J Digit Imaging       Date:  2022-01-11       Impact factor: 4.056

6.  Distinct emphysema subtypes defined by quantitative CT analysis are associated with specific pulmonary matrix metalloproteinases.

Authors:  Kristoffer Ostridge; Nicholas Williams; Viktoriya Kim; Stephen Harden; Simon Bourne; Ngaire A Coombs; Paul T Elkington; Raul San Jose Estepar; George Washko; Karl J Staples; Tom M A Wilkinson
Journal:  Respir Res       Date:  2016-07-26
  6 in total

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