Literature DB >> 19056721

Quantitative computed tomography assessment of airway wall dimensions: current status and potential applications for phenotyping chronic obstructive pulmonary disease.

Harvey O Coxson1.   

Abstract

Airway remodeling is extremely important in the pathophysiology of chronic obstructive pulmonary disease (COPD). Since the site and nature of airflow obstruction was described by Hogg, Thurlbeck, and Macklem, investigators have been looking for methods to noninvasively measure the airway wall dimensions in subjects with and at risk for COPD. The advent and proliferation of computed tomography (CT) initially allowed investigators to quantify changes in lung parenchymal structure in subjects with emphysema, and more recently attention has turned to the measurement of airway wall dimensions. Unfortunately, while the lung density is relatively easy to quantify, reliable airway measurements have proven to be more difficult to obtain. However, recent advances in CT technology and new computer algorithms have changed the way investigators have measured airways using CT, and it is now hoped that many of the early issues surrounding airway measurements can be resolved. The measurement of airway wall dimensions is important because it is well known that chronic airflow limitation can be caused by a combination of airway and parenchymal changes. The phenotypic expression of these different subtypes of COPD is vital because a therapy designed to modulate the inflammation in airways may be contraindicated in subjects with the emphysema phenotype and visa versa. Therefore, these new imaging techniques are very likely to play a front-line role in the study of COPD and will, hopefully, allow clinicians to phenotype individuals, thereby personalizing their treatment.

Entities:  

Mesh:

Year:  2008        PMID: 19056721      PMCID: PMC2720108          DOI: 10.1513/pats.200806-057QC

Source DB:  PubMed          Journal:  Proc Am Thorac Soc        ISSN: 1546-3222


  42 in total

1.  Knowledge-based segmentation of thoracic computed tomography images for assessment of split lung function.

Authors:  M S Brown; J G Goldin; M F McNitt-Gray; L E Greaser; A Sapra; K T Li; J W Sayre; K Martin; D R Aberle
Journal:  Med Phys       Date:  2000-03       Impact factor: 4.071

2.  Core to rind distribution of severe emphysema predicts outcome of lung volume reduction surgery.

Authors:  Y Nakano; H O Coxson; S Bosan; R M Rogers; F C Sciurba; R J Keenan; K R Walley; P D Paré; J C Hogg
Journal:  Am J Respir Crit Care Med       Date:  2001-12-15       Impact factor: 21.405

3.  A randomized clinical trial of alpha(1)-antitrypsin augmentation therapy.

Authors:  A Dirksen; J H Dijkman; F Madsen; B Stoel; D C Hutchison; C S Ulrik; L T Skovgaard; A Kok-Jensen; A Rudolphus; N Seersholm; H A Vrooman; J H Reiber; N C Hansen; T Heckscher; K Viskum; J Stolk
Journal:  Am J Respir Crit Care Med       Date:  1999-11       Impact factor: 21.405

4.  Selection of patients for lung volume reduction surgery using a power law analysis of the computed tomographic scan.

Authors:  H O Coxson; K P Whittall; Y Nakano; R M Rogers; F C Sciurba; R J Keenan; J C Hogg
Journal:  Thorax       Date:  2003-06       Impact factor: 9.139

Review 5.  Quantitative assessment of airway remodeling using high-resolution CT.

Authors:  Yasutaka Nakano; Nestor L Müller; Gregory G King; Akio Niimi; Steven E Kalloger; Michiaki Mishima; Peter D Paré
Journal:  Chest       Date:  2002-12       Impact factor: 9.410

6.  Site and nature of airway obstruction in chronic obstructive lung disease.

Authors:  J C Hogg; P T Macklem; W M Thurlbeck
Journal:  N Engl J Med       Date:  1968-06-20       Impact factor: 91.245

7.  Computed tomographic measurements of airway dimensions and emphysema in smokers. Correlation with lung function.

Authors:  Y Nakano; S Muro; H Sakai; T Hirai; K Chin; M Tsukino; K Nishimura; H Itoh; P D Paré; J C Hogg; M Mishima
Journal:  Am J Respir Crit Care Med       Date:  2000-09       Impact factor: 21.405

8.  An analysis algorithm for measuring airway lumen and wall areas from high-resolution computed tomographic data.

Authors:  G G King; N L Müller; K P Whittall; Q S Xiang; P D Paré
Journal:  Am J Respir Crit Care Med       Date:  2000-02       Impact factor: 21.405

9.  Diagnosis of pulmonary emphysema by computerised tomography.

Authors:  M D Hayhurst; W MacNee; D C Flenley; D Wright; A McLean; D Lamb; A J Wightman; J Best
Journal:  Lancet       Date:  1984-08-11       Impact factor: 79.321

10.  The nature of small-airway obstruction in chronic obstructive pulmonary disease.

Authors:  James C Hogg; Fanny Chu; Soraya Utokaparch; Ryan Woods; W Mark Elliott; Liliana Buzatu; Ruben M Cherniack; Robert M Rogers; Frank C Sciurba; Harvey O Coxson; Peter D Paré
Journal:  N Engl J Med       Date:  2004-06-24       Impact factor: 91.245

View more
  25 in total

1.  The "dirty chest"--correlations between chest radiography, multislice CT and tobacco burden.

Authors:  J Kirchner; J P Goltz; F Lorenz; A Obermann; E M Kirchner; R Kickuth
Journal:  Br J Radiol       Date:  2011-09-21       Impact factor: 3.039

Review 2.  Airway imaging in disease: gimmick or useful tool?

Authors:  Peter D Paré; Taishi Nagano; Harvey O Coxson
Journal:  J Appl Physiol (1985)       Date:  2012-05-17

3.  Heterogeneity of pulmonary perfusion as a mechanistic image-based phenotype in emphysema susceptible smokers.

Authors:  Sara K Alford; Edwin J R van Beek; Geoffrey McLennan; Eric A Hoffman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-05       Impact factor: 11.205

4.  Analysis of pediatric airway morphology using statistical shape modeling.

Authors:  Stephen M Humphries; Kendall S Hunter; Robin Shandas; Robin R Deterding; Emily M DeBoer
Journal:  Med Biol Eng Comput       Date:  2015-12-31       Impact factor: 2.602

5.  Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease.

Authors:  Sandeep Bodduluri; Arie Nakhmani; Joseph M Reinhardt; Carla G Wilson; Merry-Lynn McDonald; Ramaraju Rudraraju; Byron C Jaeger; Nirav R Bhakta; Peter J Castaldi; Frank C Sciurba; Chengcui Zhang; Purushotham V Bangalore; Surya P Bhatt
Journal:  JCI Insight       Date:  2020-07-09

Review 6.  CT based computerized identification and analysis of human airways: a review.

Authors:  Jiantao Pu; Suicheng Gu; Shusen Liu; Shaocheng Zhu; David Wilson; Jill M Siegfried; David Gur
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

7.  Relationships between airflow obstruction and quantitative CT measurements of emphysema, air trapping, and airways in subjects with and without chronic obstructive pulmonary disease.

Authors:  Joyce D Schroeder; Alexander S McKenzie; Jordan A Zach; Carla G Wilson; Douglas Curran-Everett; Douglas S Stinson; John D Newell; David A Lynch
Journal:  AJR Am J Roentgenol       Date:  2013-09       Impact factor: 3.959

8.  Effect of emphysema on CT scan measures of airway dimensions in smokers.

Authors:  Alejandro A Diaz; MeiLan K Han; Carolyn E Come; Raúl San José Estépar; James C Ross; Victor Kim; Mark T Dransfield; Douglas Curran-Everett; Joyce D Schroeder; David A Lynch; Juerg Tschirren; Edwin K Silverman; George R Washko
Journal:  Chest       Date:  2013-03       Impact factor: 9.410

9.  Phenotyping of chronic obstructive pulmonary disease using the modified Bhalla scoring system for high-resolution computed tomography.

Authors:  Baykal Tulek; Ali Sami Kivrak; Seda Ozbek; Fikret Kanat; Mecit Suerdem
Journal:  Can Respir J       Date:  2013 Mar-Apr       Impact factor: 2.409

10.  Optimal graph search based segmentation of airway tree double surfaces across bifurcations.

Authors:  Xiaomin Liu; Danny Z Chen; Merryn H Tawhai; Xiaodong Wu; Eric A Hoffman; Milan Sonka
Journal:  IEEE Trans Med Imaging       Date:  2012-10-10       Impact factor: 10.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.