Literature DB >> 28918422

The Modern Art of Reading Computed Tomography Images of the Lungs: Quantitative CT.

Felix J F Herth1, Miranda Kirby, Jered Sieren, Jonas Herth, Joshua Schirm, Susan Wood, Maren Schuhmann.   

Abstract

Lung diseases are increasing in prevalence and overall burden worldwide. To stem the tide, more and more national and international guidelines are recommending the use of various diagnostic algorithms that are disease specific. There is growing consensus among the respiratory community that although patient histories and lung function testing are the minimum required for clinical examinations, these tests alone are not sufficient for disease characterization. Therefore, the use of computed tomography (CT) imaging is increasing used in clinical decision making for lung diseases. Lung diseases affect various components of lung, including the small airways, lung parenchyma, the interstitial space and the pulmonary vasculature. Quantitative CT (QCT) methods are emerging and are increasingly available using commercial software to quantify the underlying disease components, and a growing body of evidence suggests that QCT is an important tool in the clinical setting to help accurately and reproducibly detect where the disease is located in the lung, and to quantify the extent and overall severity for several lung diseases. Furthermore, this growing body of evidence has promoted the use of thoracic QCT to the point that it is now considered by many as an indispensable technology for longitudinal analysis and intervention trials. Many QCT imaging measurements are available to the respiratory physician, and the aim of this review is to introduce and describe pulmonary QCT imaging measurements and methodologies.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Asthma; COPD; Computed tomography; Emphysema; Lung cancer; Quantitative computed tomography

Mesh:

Year:  2017        PMID: 28918422     DOI: 10.1159/000480435

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  11 in total

1.  Influence of Inspiratory/Expiratory CT Registration on Quantitative Air Trapping.

Authors:  Oliver Weinheimer; Benjamin A Hoff; Aleksa B Fortuna; Antonio Fernández-Baldera; Philip Konietzke; Mark O Wielpütz; Terry E Robinson; Craig J Galbán
Journal:  Acad Radiol       Date:  2018-12-10       Impact factor: 3.173

2.  The emerging role of quantitative imaging in asthma.

Authors:  James G Krings; Sally E Wenzel; Mario Castro
Journal:  Br J Radiol       Date:  2020-12-03       Impact factor: 3.629

3.  Protocol of a Randomized Controlled Study of the PneumRx Endobronchial Coil System versus Standard-of-Care Medical Management in the Treatment of Subjects with Severe Emphysema (ELEVATE).

Authors:  Felix J F Herth; Dirk-Jan Slebos; Pallav L Shah; Martin Hetzel; Gerald Schmid-Bindert; Adam S LaPrad; Gaëtan Deslée; Arschang Valipour
Journal:  Respiration       Date:  2019-11-19       Impact factor: 3.580

Review 4.  Endobronchial Valves for the Treatment of Advanced Emphysema.

Authors:  Karin Klooster; Dirk-Jan Slebos
Journal:  Chest       Date:  2020-12-17       Impact factor: 9.410

5.  Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3.

Authors:  James G Krings; Charles W Goss; Daphne Lew; Maanasi Samant; Mary Clare McGregor; Jonathan Boomer; Leonard B Bacharier; Ajay Sheshadri; Chase Hall; Joshua Brownell; Ken B Schechtman; Samuel Peterson; Stephen McEleney; David T Mauger; John V Fahy; Sean B Fain; Loren C Denlinger; Elliot Israel; George Washko; Eric Hoffman; Sally E Wenzel; Mario Castro
Journal:  J Allergy Clin Immunol       Date:  2021-02-09       Impact factor: 14.290

6.  Quantitative assessment of interstitial lung disease in Sjögren's syndrome.

Authors:  Pablo Guisado-Vasco; Mario Silva; Miguel Angel Duarte-Millán; Gianluca Sambataro; Chiara Bertolazzi; Mauro Pavone; Isabel Martín-Garrido; Oriol Martín-Segarra; José Manuel Luque-Pinilla; Daniele Santilli; Domenico Sambataro; Sebastiano E Torrisi; Ada Vancheri; Marwin Gutiérrez; Mayra Mejia; Stefano Palmucci; Flavio Mozzani; Jorge Rojas-Serrano; Carlo Vanchieri; Nicola Sverzellati; Alarico Ariani
Journal:  PLoS One       Date:  2019-11-08       Impact factor: 3.240

7.  A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules.

Authors:  Minghui Zhu; Zhen Yang; Miaoyu Wang; Wei Zhao; Qiang Zhu; Wenjia Shi; Hang Yu; Zhixin Liang; Liangan Chen
Journal:  Respir Res       Date:  2022-04-16

Review 8.  CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping.

Authors:  Jennifer M Wang; Sundaresh Ram; Wassim W Labaki; MeiLan K Han; Craig J Galbán
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2022-04-26

9.  Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS).

Authors:  Chunrui Zou; Frank Li; Jiwoong Choi; Babak Haghighi; Sanghun Choi; Prathish K Rajaraman; Alejandro P Comellas; John D Newell; Chang Hyun Lee; R Graham Barr; Eugene Bleecker; Christopher B Cooper; David Couper; Meilan Han; Nadia N Hansel; Richard E Kanner; Ella A Kazerooni; Eric C Kleerup; Fernando J Martinez; Wanda O'Neal; Robert Paine; Stephen I Rennard; Benjamin M Smith; Prescott G Woodruff; Eirc A Hoffman; Ching-Long Lin
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2021-05-31

10.  Lung density analysis using quantitative computed tomography in children with pectus excavatum.

Authors:  Fatma C Sarioglu; Naciye S Gezer; Huseyin Odaman; Orkun Sarioglu; Oktay Ulusoy; Oguz Ates; Handan Guleryuz
Journal:  Pol J Radiol       Date:  2021-06-22
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