Literature DB >> 31876554

Quantification of Perinodular Emphysema in High-risk Patients Offers No Benefit in Lung Nodule Risk-Stratification of Malignancy Potential.

William H Amundson1, Eric J Swanson1, Ashley Petersen2, Brian J Bell3, Charles Hatt4,5, Chris H Wendt1,6.   

Abstract

PURPOSE: Pulmonary nodules, found either incidentally or on lung cancer screening, are common. Evaluating the benign or malignant nature of these nodules is costly in terms of patient risk and expense. The presence of both global and regional emphysema has been linked to increased lung cancer risk. We sought to determine whether the measurement of emphysema directly adjacent to a lung nodule could inform the likelihood of a nodule being malignant.
MATERIALS AND METHODS: Within a population of Veterans at high risk for lung cancer, 58 subjects with malignant nodules found on computerized tomographic chest scans were matched by lobe and nodule size to 58 controls. Lung densitometry was measured via determination of the low attenuation area percentage at -950 Hounsfield units (LAA950) and the Hounsfield unit (HU) value at which 15% of lung voxels have a lower lung density (Perc15), at predefined lung volumes that encompassed the nodule to evaluate both perinodular and regional lung fields. The association between measured lung density and malignancy was investigated using conditional logistic regression models, with densitometry measurements used as the primary predictor, adjusting for age alone, or age and computerized tomographic scan characteristics.
RESULTS: No significant differences in emphysema measurements between malignant and benign nodules were identified at lung volumes encompassing both perinodular and regional emphysema. Furthermore, emphysema quantification remained stable across lung volumes within individuals.
CONCLUSIONS: In this study, quantifying the degree of perinodular or regional emphysema did not offer any benefit in the risk stratification of lung nodules.

Entities:  

Year:  2020        PMID: 31876554      PMCID: PMC7035974          DOI: 10.1097/RTI.0000000000000465

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  25 in total

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Authors:  Paul A Yushkevich; Joseph Piven; Heather Cody Hazlett; Rachel Gimpel Smith; Sean Ho; James C Gee; Guido Gerig
Journal:  Neuroimage       Date:  2006-03-20       Impact factor: 6.556

2.  Are airflow obstruction and radiographic evidence of emphysema risk factors for lung cancer? A nested case-control study using quantitative emphysema analysis.

Authors:  Fabien Maldonado; Brian J Bartholmai; Stephen J Swensen; David E Midthun; Paul A Decker; James R Jett
Journal:  Chest       Date:  2010-03-26       Impact factor: 9.410

3.  High-resolution computed tomography in assessment of patients with emphysema.

Authors:  Jeng-Shing Wang; Jaw-Ming Cherng; Daw-Shyong Perng; Hong-Shen Lee; Sophie Wang
Journal:  Respir Care       Date:  2013-04       Impact factor: 2.258

4.  Airways obstruction and the risk for lung cancer.

Authors:  M S Tockman; N R Anthonisen; E C Wright; M G Donithan
Journal:  Ann Intern Med       Date:  1987-04       Impact factor: 25.391

5.  Visual assessment of early emphysema and interstitial abnormalities on CT is useful in lung cancer risk analysis.

Authors:  Mathilde M W Wille; Laura H Thomsen; Jens Petersen; Marleen de Bruijne; Asger Dirksen; Jesper H Pedersen; Saher B Shaker
Journal:  Eur Radiol       Date:  2015-05-09       Impact factor: 5.315

6.  The correlation of emphysema or airway obstruction with the risk of lung cancer: a matched case-controlled study.

Authors:  K Kishi; J W Gurney; D R Schroeder; P D Scanlon; S J Swensen; J R Jett
Journal:  Eur Respir J       Date:  2002-06       Impact factor: 16.671

7.  Effects of CT section thickness and reconstruction kernel on emphysema quantification relationship to the magnitude of the CT emphysema index.

Authors:  David S Gierada; Andrew J Bierhals; Cliff K Choong; Seth T Bartel; Jon H Ritter; Nitin A Das; Cheng Hong; Thomas K Pilgram; Kyongtae T Bae; Bruce R Whiting; Jason C Woods; James C Hogg; Barbara A Lutey; Richard J Battafarano; Joel D Cooper; Bryan F Meyers; G Alexander Patterson
Journal:  Acad Radiol       Date:  2010-02       Impact factor: 3.173

8.  Assessing the relationship between lung cancer risk and emphysema detected on low-dose CT of the chest.

Authors:  Juan P de Torres; Gorka Bastarrika; Juan P Wisnivesky; Ana B Alcaide; Arantza Campo; Luis M Seijo; Jesús C Pueyo; Alberto Villanueva; María D Lozano; Usua Montes; Luis Montuenga; Javier J Zulueta
Journal:  Chest       Date:  2007-12       Impact factor: 9.410

9.  Emphysema: effect of reconstruction algorithm on CT imaging measures.

Authors:  Kirsten L Boedeker; Michael F McNitt-Gray; Sarah R Rogers; Dao A Truong; Matthew S Brown; David W Gjertson; Jonathan G Goldin
Journal:  Radiology       Date:  2004-07       Impact factor: 11.105

10.  Low-dose CT measurements of airway dimensions and emphysema associated with airflow limitation in heavy smokers: a cross sectional study.

Authors:  Akkelies E Dijkstra; Dirkje S Postma; Nick ten Hacken; Judith M Vonk; Matthijs Oudkerk; Peter M A van Ooijen; Pieter Zanen; Firdaus A Mohamed Hoesein; Bram van Ginneken; Michael Schmidt; Harry J M Groen
Journal:  Respir Res       Date:  2013-01-28
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  1 in total

1.  Multivariate Analysis on Development of Lung Adenocarcinoma Lesion from Solitary Pulmonary Nodule.

Authors:  Linxiang Yu; Bin Zhang; Haosheng Zou; Yi Shi; Liang Cheng; Ying Zhang; Haiwen Zhen
Journal:  Contrast Media Mol Imaging       Date:  2022-05-24       Impact factor: 3.009

  1 in total

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