Literature DB >> 29221318

Lung densitometry: why, how and when.

Mario Mascalchi1, Gianna Camiciottoli1,2, Stefano Diciotti3.   

Abstract

Lung densitometry assesses with computed tomography (CT) the X-ray attenuation of the pulmonary tissue which reflects both the degree of inflation and the structural lung abnormalities implying decreased attenuation, as in emphysema and cystic diseases, or increased attenuation, as in fibrosis. Five reasons justify replacement with lung densitometry of semi-quantitative visual scales used to measure extent and severity of diffuse lung diseases: (I) improved reproducibility; (II) complete vs. discrete assessment of the lung tissue; (III) shorter computation times; (IV) better correlation with pathology quantification of pulmonary emphysema; (V) better or equal correlation with pulmonary function tests (PFT). Commercially and open platform software are available for lung densitometry. It requires attention to technical and methodological issues including CT scanner calibration, radiation dose, and selection of thickness and filter to be applied to sections reconstructed from whole-lung CT acquisition. Critical is also the lung volume reached by the subject at scanning that can be measured in post-processing and represent valuable information per se. The measurements of lung density include mean and standard deviation, relative area (RA) at -970, -960 or -950 Hounsfield units (HU) and 1st and 15th percentile for emphysema in inspiratory scans, and RA at -856 HU for air trapping in expiratory scans. Kurtosis and skewness are used for evaluating pulmonary fibrosis in inspiratory scans. The main indication for lung densitometry is assessment of emphysema component in the single patient with chronic obstructive pulmonary diseases (COPD). Additional emerging applications include the evaluation of air trapping in COPD patients and in subjects at risk of emphysema and the staging in patients with lymphangioleiomyomatosis (LAM) and with pulmonary fibrosis. It has also been applied to assess prevalence of smoking-related emphysema and to monitor progression of smoking-related emphysema, alpha1 antitrypsin deficiency emphysema, and pulmonary fibrosis. Finally, it is recommended as end-point in pharmacological trials of emphysema and lung fibrosis.

Entities:  

Keywords:  Chronic obstructive pulmonary diseases (COPD); computed tomography (CT); emphysema; lung densitometry; pulmonary fibrosis

Year:  2017        PMID: 29221318      PMCID: PMC5708390          DOI: 10.21037/jtd.2017.08.17

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  129 in total

Review 1.  On the progressive nature of emphysema: roles of proteases, inflammation, and mechanical forces.

Authors:  Béla Suki; Kenneth R Lutchen; Edward P Ingenito
Journal:  Am J Respir Crit Care Med       Date:  2003-09-01       Impact factor: 21.405

Review 2.  Progress in Imaging COPD, 2004 - 2014.

Authors:  David A Lynch
Journal:  Chronic Obstr Pulm Dis       Date:  2014-05-06

3.  CT grading of lung disease in lymphangioleiomyomatosis.

Authors:  Jianhua Yao; Angelo M Taveira-DaSilva; Thomas V Colby; Joel Moss
Journal:  AJR Am J Roentgenol       Date:  2012-10       Impact factor: 3.959

4.  Relationship between quantitative CT metrics and health status and BODE in chronic obstructive pulmonary disease.

Authors:  Carlos H Martinez; Ya-Hong Chen; Phillip M Westgate; Lyrica X Liu; Susan Murray; Jeffrey L Curtis; Barry J Make; Ella A Kazerooni; David A Lynch; Nathaniel Marchetti; George R Washko; Fernando J Martinez; Meilan K Han
Journal:  Thorax       Date:  2012-05       Impact factor: 9.139

5.  Monitoring the progress of emphysema by repeat computed tomography scans with focus on noise reduction.

Authors:  Asger Dirksen
Journal:  Proc Am Thorac Soc       Date:  2008-12-15

6.  Roflumilast in symptomatic chronic obstructive pulmonary disease: two randomised clinical trials.

Authors:  Peter M A Calverley; Klaus F Rabe; Udo-Michael Goehring; Søren Kristiansen; Leonardo M Fabbri; Fernando J Martinez
Journal:  Lancet       Date:  2009-08-29       Impact factor: 79.321

7.  Assessment of prognosis of patients with idiopathic pulmonary fibrosis by computer-aided analysis of CT images.

Authors:  Tae Iwasawa; Akira Asakura; Fumikazu Sakai; Tetu Kanauchi; Toshiyuki Gotoh; Takashi Ogura; Takuya Yazawa; Junichi Nishimura; Tomio Inoue
Journal:  J Thorac Imaging       Date:  2009-08       Impact factor: 3.000

8.  High resolution computed tomography (HRCT) in emphysema associated with alpha-1-antitrypsin deficiency.

Authors:  P J Guest; D M Hansell
Journal:  Clin Radiol       Date:  1992-04       Impact factor: 2.350

9.  Micro-computed tomography measurements of peripheral lung pathology in chronic obstructive pulmonary disease.

Authors:  James C Hogg; John E McDonough; Pablo G Sanchez; Joel D Cooper; Harvey O Coxson; William M Elliott; David Naiman; Marcus Pochettino; Debra Horng; Warren B Gefter; Alex C Wright
Journal:  Proc Am Thorac Soc       Date:  2009-09-15

10.  Automated algorithm for quantifying the extent of cystic change on volumetric chest CT: initial results in Lymphangioleiomyomatosis.

Authors:  Vincent J Schmithorst; Talissa A Altes; Lisa R Young; David N Franz; John J Bissler; Francis X McCormack; Bernard J Dardzinski; Alan S Brody
Journal:  AJR Am J Roentgenol       Date:  2009-04       Impact factor: 3.959

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  22 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

Review 2.  Quantitative Computed Tomography: What Clinical Questions Can it Answer in Chronic Lung Disease?

Authors:  Marcelo Cardoso Barros; Stephan Altmayer; Alysson Roncally Carvalho; Rosana Rodrigues; Matheus Zanon; Tan-Lucien Mohammed; Pratik Patel; Al-Ani Mohammad; Borna Mehrad; Jose Miguel Chatkin; Bruno Hochhegger
Journal:  Lung       Date:  2022-06-25       Impact factor: 3.777

3.  Quantitative CT lung densitometry as an obstructive marker for the diagnosis of bronchiolitis obliterans in children.

Authors:  Hye Jin Lee; Seong Koo Kim; Jae Wook Lee; Soo Ah Im; Nack-Gyun Chung; Bin Cho
Journal:  PLoS One       Date:  2022-07-07       Impact factor: 3.752

4.  Applicability of color-coded computed tomography images in lung volume reduction surgery planning.

Authors:  Urs J Muehlematter; Claudio Caviezel; Katharina Martini; Michael Messerli; Kerstin N Vokinger; Iris R Wetzler; Michaela Tutic-Horn; Walter Weder; Thomas Frauenfelder
Journal:  J Thorac Dis       Date:  2019-03       Impact factor: 2.895

5.  Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds.

Authors:  Andrej Romanov; Michael Bach; Shan Yang; Fabian C Franzeck; Gregor Sommer; Constantin Anastasopoulos; Jens Bremerich; Bram Stieltjes; Thomas Weikert; Alexander Walter Sauter
Journal:  Diagnostics (Basel)       Date:  2021-04-21

Review 6.  Molecular imaging of pulmonary diseases.

Authors:  Julien Dimastromatteo; Eric J Charles; Victor E Laubach
Journal:  Respir Res       Date:  2018-01-24

7.  Objective quantitative multidetector computed tomography assessments in patients with combined pulmonary fibrosis with emphysema: Relationship with pulmonary function and clinical events.

Authors:  Masaki Suzuki; Naoko Kawata; Mitsuhiro Abe; Hajime Yokota; Rie Anazawa; Yukiko Matsuura; Jun Ikari; Shin Matsuoka; Kenji Tsushima; Koichiro Tatsumi
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

Review 8.  Review of lung sealant technologies for lung volume reduction in pulmonary disease.

Authors:  Branislava Milenkovic; Sanja Dimic Janjic; Spasoje Popevic
Journal:  Med Devices (Auckl)       Date:  2018-06-27

9.  Statin as a novel pharmacotherapy of pulmonary alveolar proteinosis.

Authors:  Cormac McCarthy; Elinor Lee; James P Bridges; Anthony Sallese; Takuji Suzuki; Jason C Woods; Brian J Bartholmai; Tisha Wang; Claudia Chalk; Brenna C Carey; Paritha Arumugam; Kenjiro Shima; Elizabeth J Tarling; Bruce C Trapnell
Journal:  Nat Commun       Date:  2018-08-07       Impact factor: 14.919

Review 10.  PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques.

Authors:  Joseph Lillington; Ludovica Brusaferri; Kerstin Kläser; Karin Shmueli; Radhouene Neji; Brian F Hutton; Francesco Fraioli; Simon Arridge; Manuel Jorge Cardoso; Sebastien Ourselin; Kris Thielemans; David Atkinson
Journal:  Med Phys       Date:  2020-01-01       Impact factor: 4.071

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