Emphysema: definition, imaging, and quantification.

Thurlbeck, William M.; Müller, Néstor L.

doi:10.2214/ajr.163.5.7976869

Cited by 264 publications

(170 citation statements)

References 44 publications

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“…High-resolution computed tomography (HRCT) is currently the most sensitive imaging method available for detecting structural pulmonary changes caused by emphysema (1,2), and it has become the method of choice for studying asbestos-induced pulmonary and pleural diseases (3). HRCT is also the most effective method for diagnosing asbestosis and emphysema, and it is superior to pulmonary function tests and chest X-rays for that purpose (4,5).…”

mentioning

confidence: 99%

Impairment of lung function in asbestos-exposed workers in relation to high-resolution computed tomography

Piirilä¹,

Lindqvist²,

Huuskonen³

et al. 2005

Scand J Work Environ Health

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mentioning

confidence: 99%

Impairment of lung function in asbestos-exposed workers in relation to high-resolution computed tomography

Piirilä¹,

Lindqvist²,

Huuskonen³

et al. 2005

Scand J Work Environ Health

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“…Using CT images, the severity of emphysema was scored on a nonparametric scale from 0 (no emphysema) to 100 by the panel grading (PG) method of Thurlbeck et al [3]. This consists of 16 inflation-fixed, paper-mounted, midsagittal whole lung sections that are arranged at intervals of 5 between 0 and 50, and at intervals of 10 between 60 and 100.…”

Section: Clinical Datasetmentioning

confidence: 99%

“…Computed tomography (CT) is currently the most accurate imaging technique for diagnosing emphysema in vivo [3]; different quantitative methods to assess emphysema by CT have been proposed, all of them being based on densitometric image features [4]. Extensive use of CT technique to assess emphysema seems, however, unwarranted due to the high cost and substantial radiation burden to the patient.…”

Section: Introductionmentioning

confidence: 99%

A computer-aided diagnosis approach for emphysema recognition in chest radiography

Coppini

Miniati

Monti

et al. 2013

Medical Engineering & Physics

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a b s t r a c tThe purpose of this work is twofold: (i) to develop a CAD system for the assessment of emphysema by digital chest radiography and (ii) to test it against CT imaging. The system is based on the analysis of the shape of lung silhouette as imaged in standard chest examination. Postero-anterior and lateral views are processed to extract the contours of the lung fields automatically. Subsequently, the shape of lung silhouettes is described by polyline approximation and the computed feature-set processed by a neural network to estimate the probability of emphysema.Images of radiographic studies from 225 patients were collected and properly annotated to build an experimental dataset named EMPH. Each patient had undergone a standard two-views chest radiography and CT for diagnostic purposes. In addition, the images (247) from JSRT dataset were used to evaluate lung segmentation in postero-anterior view.System performances were assessed by: (i) analyzing the quality of the automatic segmentation of the lung silhouette against manual tracing and (ii) measuring the capabilities of emphysema recognition. As to step i, on JSRT dataset, we obtained overlap percentage (˝) 92.7 ± 3.3%, Dice Similarity Coefficient (DSC) 95.5 ± 3.7% and average contour distance (ACD) 1.73 ± 0.87 mm. On EMPH dataset we had ˝ = 93.1 ± 2.9%, DSC = 96.1 ± 3.5% and ACD = 1.62 ± 0.92 mm, for the postero-anterior view, while we had ˝ = 94.5 ± 4.6%, DSC = 91.0 ± 6.3% and ACD = 2.22 ± 0.86 mm, for the lateral view. As to step ii, accuracy of emphysema recognition was 95.4%, with sensitivity and specificity 94.5% and 96.1% respectively. According to experimental results our system allows reliable and inexpensive recognition of emphysema on digital chest radiography.

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“…The widespread adoption of high-resolution scanning has put into everyone's hands the tool to identify anatomic emphysema before there are any clinical manifestations. ''Early'' disease, not necessarily all disease, can be detected on CT scans; scattered holes in the lung less than 5 mm in size are difficult or impossible to detect, but CT scanning can detect earlier disease than can be detected by airflow obstruction or changes in diffusing capacity (13). A sensitive volumetric sampling technique, called sliding thin slab, minimum (or maximum, as originally described) intensity projection, has been tested successfully in the detection of minimal emphysema but has not been adopted widely, probably because of the complexity of the extra steps involved and its failure to detect much more emphysema than thin spiral scans and because of the emphysema-simulating artifacts (14)(15)(16).…”

Section: Ctmentioning

confidence: 99%

Imaging Studies in Emphysema

Friedman¹

2008

Proceedings of the American Thoracic Society

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Definitions of types of emphysema within the framework of chronic obstructive pulmonary disease are given. The classic findings on the chest radiograph are described, and the advances in sensitivity and specificity achieved with computed tomography (CT) scanning are noted. The ''density mask'' and the ''percentile point'' measurements rely on the densitometric property of X-rays, but the scan also shows the severity and distribution of low-attenuation regions that usually represent pathologic emphysema. The alteration of absolute density with changes in lung inflation, CT slice thickness, collimation, and reconstruction algorithm make comparison between CT scans and across studies more difficult. Nevertheless, quantitative CT has superseded subjective scoring of scan appearance by readers as a sensitive way to measure emphysema.

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Emphysema: definition, imaging, and quantification.

Cited by 264 publications

References 44 publications

Impairment of lung function in asbestos-exposed workers in relation to high-resolution computed tomography

Impairment of lung function in asbestos-exposed workers in relation to high-resolution computed tomography

A computer-aided diagnosis approach for emphysema recognition in chest radiography

Imaging Studies in Emphysema

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