Literature DB >> 22993219

Chronic obstructive pulmonary disease: CT quantification of airways disease.

Maxime Hackx1, Alexander A Bankier, Pierre Alain Gevenois.   

Abstract

Chronic obstructive pulmonary disease (COPD) is an increasing cause of morbidity and mortality worldwide and results in substantial social and economic burdens. COPD is a heterogeneous disease with both extrapulmonary and pulmonary components. The pulmonary component is characterized by an airflow limitation that is not fully reversible. In the authors' opinion, none of the currently available classifications combining airflow limitation measurements with clinical parameters is sufficient to determine the prognosis and treatment of a particular patient with COPD. With regard to the causes of airflow limitation, CT can be used to quantify the two main contributions to COPD: emphysema, and small airways disease (a narrowing of the airways). CT quantification--with subsequent COPD phenotyping--can contribute to improved patient care, assessment of COPD progression, and identification of severe COPD with increasing risk of mortality. Small airways disease can be quantified through measurements reflecting morphology, quantification of obstruction, and changes in airways walls. This article details these three approaches and concludes with perspectives and directions for further research. © RSNA, 2012.

Entities:  

Mesh:

Year:  2012        PMID: 22993219     DOI: 10.1148/radiol.12111270

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


  27 in total

1.  Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes.

Authors:  Sanghun Choi; Eric A Hoffman; Sally E Wenzel; Mario Castro; Sean Fain; Nizar Jarjour; Mark L Schiebler; Kun Chen; Ching-Long Lin
Journal:  J Allergy Clin Immunol       Date:  2017-01-29       Impact factor: 10.793

2.  Effect of total lung capacity, gender and height on CT airway measurements.

Authors:  Maxime Hackx; Dorothée Francotte; Tiago S Garcia; Alain Van Muylem; Michel Walsdorff; Pierre A Gevenois
Journal:  Br J Radiol       Date:  2017-06-14       Impact factor: 3.039

3.  Effect of inspiration on airway dimensions measured in maximal inspiration CT images of subjects without airflow limitation.

Authors:  Jens Petersen; Mathilde M W Wille; Lars Lau Rakêt; Aasa Feragen; Jesper H Pedersen; Mads Nielsen; Asger Dirksen; Marleen de Bruijne
Journal:  Eur Radiol       Date:  2014-06-06       Impact factor: 5.315

Review 4.  Quantitative computed tomography imaging of airway remodeling in severe asthma.

Authors:  Philippe A Grenier; Catalin I Fetita; Pierre-Yves Brillet
Journal:  Quant Imaging Med Surg       Date:  2016-02

Review 5.  Advances in Imaging and Automated Quantification of Pulmonary Diseases in Non-neoplastic Diseases.

Authors:  Fernanda Balbinot; Álvaro da Costa Batista Guedes; Douglas Zaione Nascimento; Juliana Fischman Zampieri; Giordano Rafael Tronco Alves; Edson Marchiori; Adalberto Sperb Rubin; Bruno Hochhegger
Journal:  Lung       Date:  2016-09-23       Impact factor: 2.584

6.  High-Resolution Chest Computed Tomography Imaging of the Lungs: Impact of 1024 Matrix Reconstruction and Photon-Counting Detector Computed Tomography.

Authors:  David J Bartlett; Chi Wan Koo; Brian J Bartholmai; Kishore Rajendran; Jayse M Weaver; Ahmed F Halaweish; Shuai Leng; Cynthia H McCollough; Joel G Fletcher
Journal:  Invest Radiol       Date:  2019-03       Impact factor: 6.016

7.  CT-Definable Subtypes of Chronic Obstructive Pulmonary Disease: A Statement of the Fleischner Society.

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

8.  Parametric response mapping monitors temporal changes on lung CT scans in the subpopulations and intermediate outcome measures in COPD Study (SPIROMICS).

Authors:  Jennifer L Boes; Benjamin A Hoff; Maria Bule; Timothy D Johnson; Alnawaz Rehemtulla; Ryan Chamberlain; Eric A Hoffman; Ella A Kazerooni; Fernando J Martinez; Meilan K Han; Brian D Ross; Craig J Galbán
Journal:  Acad Radiol       Date:  2014-11-04       Impact factor: 3.173

9.  Quantitative CT detects progression in COPD patients with severe emphysema in a 3-month interval.

Authors:  Philip Konietzke; Mark O Wielpütz; Willi L Wagner; Felix Wuennemann; Hans-Ulrich Kauczor; Claus P Heussel; Monika Eichinger; Ralf Eberhardt; Daniela Gompelmann; Oliver Weinheimer
Journal:  Eur Radiol       Date:  2020-01-21       Impact factor: 5.315

10.  Seeing the forest for the trees: fractal dimensions measure COPD airway remodeling.

Authors:  Eleanor M Dunican
Journal:  J Clin Invest       Date:  2018-10-29       Impact factor: 14.808

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