Literature DB >> 33320065

Fleischner Society Visual Emphysema CT Patterns Help Predict Progression of Emphysema in Current and Former Smokers: Results from the COPDGene Study.

Bilal El Kaddouri1, Matthew J Strand1, David Baraghoshi1, Stephen M Humphries1, Jean-Paul Charbonnier1, Eva M van Rikxoort1, David A Lynch1.   

Abstract

Background The correlation between visual emphysema patterns and subsequent progression of disease may provide a way to enrich a study population for treatment trials of emphysema. Purpose To evaluate the potential relationship between emphysema visual subtypes and progression of emphysema and gas trapping. Materials and Methods Current and former smokers with and without chronic obstructive pulmonary disease (COPD) enrolled in the prospective Genetic Epidemiology of COPD (COPDGene) study (ClinicalTrials.gov identifier: NCT02445183) between 2008 and 2011 had their Fleischner Society visual CT scores assessed at baseline, quantitative inspiratory, and expiratory CT and at 5 years. They also underwent pulmonary function testing at baseline CT and at 5 years. The dependent variables were inspiratory lung density at 15th percentile (adjusted for lung volume) as a measure of emphysema and percentage of lung volume with attenuation less than -856 HU at expiratory CT as a measure of air trapping. Statistical analysis used a linear mixed model, adjusted for age, height, sex, race, smoking status, and scanner make. Results A total of 4166 participants (mean age, 60 years ± 9 [standard deviation]; 2091 [50%] men) were evaluated. In participants with COPD (1655 participants, 40%), those with visual presence of mild, moderate, and confluent emphysema at baseline CT showed a mean decline in lung density of 4.6 g/L ± 1.1 (P < .001), 6.7 g/L ± 1.1 (P < .001), and 6.4 g/L ± 1.2 (P < .001), respectively, compared with 2.4 g/L ± 1.3 (P < .001) for those with trace emphysema. For participants without COPD, those with visual presence of mild and moderate emphysema at baseline CT showed a mean decline in lung density of 3.6 g/L ± 1.0 (P < .001) and 3.1 g/L ± 1.6 (P < .001), respectively, compared with 1.8 g/L ± 1.0 (P < .001) for those with trace emphysema. Conclusion The pattern of parenchymal emphysema at baseline CT was an independent predictor of subsequent progression of emphysema in participants who are current or former cigarette smokers with and without chronic obstructive pulmonary disease. © RSNA, 2020 Online supplemental material is available for this article.

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Year:  2020        PMID: 33320065      PMCID: PMC8824777          DOI: 10.1148/radiol.2020200563

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  32 in total

1.  Measurement of observer agreement.

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Journal:  Radiology       Date:  2003-06-20       Impact factor: 11.105

2.  A quantification of the lung surface area in emphysema using computed tomography.

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3.  Clinical Significance of Symptoms in Smokers with Preserved Pulmonary Function.

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Review 5.  Chronic obstructive pulmonary disease: CT quantification of airways disease.

Authors:  Maxime Hackx; Alexander A Bankier; Pierre Alain Gevenois
Journal:  Radiology       Date:  2012-10       Impact factor: 11.105

6.  Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression.

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Journal:  Chest       Date:  2017-09-21       Impact factor: 9.410

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Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

8.  Volume correction in computed tomography densitometry for follow-up studies on pulmonary emphysema.

Authors:  Berend C Stoel; Hein Putter; M Els Bakker; Asger Dirksen; Rob A Stockley; Eeva Piitulainen; Erich W Russi; David Parr; Saher B Shaker; Johan H C Reiber; Jan Stolk
Journal:  Proc Am Thorac Soc       Date:  2008-12-15

9.  Epidemiology, genetics, and subtyping of preserved ratio impaired spirometry (PRISm) in COPDGene.

Authors:  Emily S Wan; Peter J Castaldi; Michael H Cho; John E Hokanson; Elizabeth A Regan; Barry J Make; Terri H Beaty; MeiLan K Han; Jeffrey L Curtis; Douglas Curran-Everett; David A Lynch; Dawn L DeMeo; James D Crapo; Edwin K Silverman
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10.  Characteristics, stability and outcomes of the 2011 GOLD COPD groups in the ECLIPSE cohort.

Authors:  Alvar Agusti; Lisa D Edwards; Bartolomé Celli; William Macnee; Peter M A Calverley; Hana Müllerova; David A Lomas; Emiel Wouters; Per Bakke; Steve Rennard; Courtney Crim; Bruce E Miller; Harvey O Coxson; Julie C Yates; Ruth Tal-Singer; Jørgen Vestbo
Journal:  Eur Respir J       Date:  2013-06-13       Impact factor: 16.671

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  5 in total

1.  Emphysema Progression at CT by Deep Learning Predicts Functional Impairment and Mortality: Results from the COPDGene Study.

Authors:  Andrea S Oh; David Baraghoshi; David A Lynch; Samuel Y Ash; James D Crapo; Stephen M Humphries
Journal:  Radiology       Date:  2022-05-17       Impact factor: 29.146

2.  Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT.

Authors:  Yanyan Xu; Tian Liang; Yanhui Ma; Sheng Xie; Hongliang Sun; Lei Wang; Yinghao Xu
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2022-05-07

3.  The prevalence and physiological impacts of centrilobular and paraseptal emphysema on computed tomography in smokers with preserved ratio impaired spirometry.

Authors:  Yusuke Shiraishi; Takafumi Shimada; Naoya Tanabe; Kunihiko Terada; Ryo Sakamoto; Tomoki Maetani; Hiroshi Shima; Fumi Mochizuki; Tsuyoshi Oguma; Kaoruko Shimizu; Susumu Sato; Shigeo Muro; Nobuyuki Hizawa; Motonari Fukui; Hiroaki Iijima; Izuru Masuda; Toyohiro Hirai
Journal:  ERJ Open Res       Date:  2022-06-27

4.  Diagnostic efficacy of visual subtypes and low attenuation area based on HRCT in the diagnosis of COPD.

Authors:  Dan Zhu; Chen Qiao; Huiling Dai; Yunqian Hu; Qian Xi
Journal:  BMC Pulm Med       Date:  2022-03-06       Impact factor: 3.317

Review 5.  [Pulmonary Emphysema: Visual Interpretation and Quantitative Analysis].

Authors:  Jihang Kim
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-07-26
  5 in total

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