Emphysema quantification in a multi-scanner HRCT cohort using local intensity distributions

Mendoza, Carlos S.; Washko, George R.; Ross, James C.; Díaz, Alejandro A.; Lynch, David A.; Crapo, J. D.; Silverman, Edwin K.; Acha, Begoña; Serrano, Carmen; Estépar, Raúl San Jośe

doi:10.1109/isbi.2012.6235587

Cited by 47 publications

(60 citation statements)

References 13 publications

(14 reference statements)

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“…This more parsimonious technique allows for a high degree of computational efficiency and scalability to large data sets. It has been previously shown that local lung density is the most discriminative feature in terms of classification performance when compared with local binary patterns with and without local density information (30).…”

Section: Discussionmentioning

confidence: 99%

“…Characterization of the emphysema pattern was performed using local histogram information (30). To train the algorithm, 267 CT scans at full inspiration from the COPDGene cohort were processed to yield 1,337 regions of interest (ROIs) of size 24.18 3 24.18 mm 2 .…”

Section: Local Histogram-based Quantitative Emphysema Measuresmentioning

confidence: 99%

“…We have characterized the percentage of five CT emphysema patterns (mild centrilobular, moderate centrilobular, severe centrilobular, PL, and PB) and the percentage of nonemphysematous (NE) lung present in the CT scans of 9,313 smokers using a tissue classification scheme based on the local histogram of lung density (30). We hypothesized the following: (1) the local histogram-based emphysema (LHE) patterns identified by this method would be associated with COPD-related physiologic and functional measures; (2) these associations would persist after adjustment for a standard measure of quantitative emphysema on CT, the percent of emphysema defined by lung tissue with an attenuation value less than 2950 Hounsfield units (%LAA-950); and (3) LHE patterns would be more predictive of COPDrelated physiologic and functional measures than %LAA-950.…”

mentioning

confidence: 99%

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Distinct Quantitative Computed Tomography Emphysema Patterns Are Associated with Physiology and Function in Smokers

Castaldi

Estépar

Mendoza

et al. 2013

Am J Respir Crit Care Med

120

125

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Rationale: Emphysema occurs in distinct pathologic patterns, but little is known about the epidemiologic associations of these patterns. Standard quantitative measures of emphysema from computed tomography (CT) do not distinguish between distinct patterns of parenchymal destruction. Objectives: To study the epidemiologic associations of distinct emphysema patterns with measures of lung-related physiology, function, and health care use in smokers. Methods: Using a local histogram-based assessment of lung density, we quantified distinct patterns of low attenuation in 9,313 smokers in the COPDGene Study. To determine if such patterns provide novel insights into chronic obstructive pulmonary disease epidemiology, we tested for their association with measures of physiology, function, and health care use. Measurements and Main Results: Compared with percentage of lowattenuation area less than 2950 Hounsfield units (%LAA-950), local histogram-based measures of distinct CT low-attenuation patterns are more predictive of measures of lung function, dyspnea, quality of life, and health care use. These patterns are strongly associated with a wide array of measures of respiratory physiology and function, and most of these associations remain highly significant (P , 0.005) after adjusting for %LAA-950. In smokers without evidence of chronic obstructive pulmonary disease, the mild centrilobular disease pattern is associated with lower FEV 1 and worse functional status (P , 0.005). Conclusions: Measures of distinct CT emphysema patterns provide novel information about the relationship between emphysema and key measures of physiology, physical function, and health care use. Measures of mild emphysema in smokers with preserved lung function can be extracted from CT scans and are significantly associated with functional measures.Keywords: emphysema; chronic obstructive pulmonary disease; spiral computed tomography; epidemiology Emphysema, defined as alveolar destruction and airspace enlargement distal to the terminal bronchiole, is a characteristic pathologic process of chronic obstructive pulmonary disease (COPD) (1). Quantitative measures of emphysema can be assessed in vivo with computed tomography (CT), and semiautomated processes for extracting this information have enabled efficient quantitative characterization of emphysema in large-scale studies. Numerous studies have demonstrated association between quantitative measures of emphysema severity and physiologic parameters of lung function (2-5), functional status and dyspnea (6-9), genetic polymorphisms (10-18), and clinical outcomes (19-21).The standard approach to CT-based quantification of emphysema is to define a threshold in the lung density histogram that differentiates emphysematous from preserved lung (22). One limitation of this approach is that, by representing the burden of emphysema as a single number, information present in the local patterns of emphysematous involvement is lost. Three distinct patterns of emphysema based on distribution within the secondary lob...

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Section: Discussionmentioning

confidence: 99%

Section: Local Histogram-based Quantitative Emphysema Measuresmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Distinct Quantitative Computed Tomography Emphysema Patterns Are Associated with Physiology and Function in Smokers

Castaldi

Estépar

Mendoza

et al. 2013

Am J Respir Crit Care Med

120

125

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“…Additional quantitative CT analysis included classification of emphysema pattern based on local histogram information; the method for generating local histogram-based quantitative emphysema patterns in the COPDGene Study has been previously defined (30,31). On the basis of a set of expert-defined training images, an algorithm was developed to classify each lung region into one of six categories according to emphysema pattern: normal; mild, moderate, or severe centrilobular emphysema; panlobular emphysema; or pleural-based emphysema.…”

Section: Chest Ct Imagingmentioning

confidence: 99%

“…Pleural-based emphysema was defined as emphysema that abutted the chest wall. For each CT scan, the six categories of local histogram emphysema pattern are expressed as a fraction of total lung volume represented by each category of emphysema (30).…”

Section: Chest Ct Imagingmentioning

confidence: 99%

Pneumothorax Risk Factors in Smokers with and without Chronic Obstructive Pulmonary Disease

Hobbs¹,

Bowler²,

Jacobson³

et al. 2014

Annals ATS

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Rationale: The demographic, physiological, and computed tomography (CT) features associated with pneumothorax in smokers with and without chronic obstructive pulmonary disease (COPD) are not clearly defined.Objectives: We evaluated the hypothesis that pneumothorax in smokers is associated with male sex, tall and thin stature, airflow obstruction, and increased total and subpleural emphysema. Methods:The study included smokers with and without COPD from the COPDGene Study, with quantitative chest CT analysis. Pleural-based emphysema was assessed on the basis of local histogram measures of emphysema. Pneumothorax history was defined by subject self-report.Measurements and Main Results: Pneumothorax was reported in 286 (3.2%) of 9,062 participants. In all participants, risk of prior pneumothorax was significantly higher in men (odds ratio [OR], 1.55; 95% confidence interval [CI], 1.08-2.22) and non-Hispanic white subjects (OR, 1.90; 95% CI, 1.34-2.69). Risk of prior pneumothorax was associated with increased percent CT emphysema in all participants and participants with COPD (OR, 1.04 for each 1% increase in emphysema; 95% CI, 1.03-1.06). Increased pleural-based emphysema was independently associated with risk of past pneumothorax in all participants (OR, 1.05 for each 1% increase; 95% CI, 1.01-1.10). In smokers with normal spirometry, risk of past pneumothorax was associated with non-Hispanic white race and lifetime smoking intensity (OR, 1.20 for every 10 pack-years; 95% CI, 1.09-1.33).Conclusions: Among smokers, pneumothorax is associated with male sex, non-Hispanic white race, and increased percentage of total and subpleural CT emphysema. Pneumothorax was not independently associated with height or lung function, even in participants with COPD.Clinical trial registered with www.clinicaltrials.gov (NCT00608764).

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Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification

Peng

Lin

Hu³

et al. 2018

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

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Emphysema quantification in a multi-scanner HRCT cohort using local intensity distributions

Cited by 47 publications

References 13 publications

Distinct Quantitative Computed Tomography Emphysema Patterns Are Associated with Physiology and Function in Smokers

Distinct Quantitative Computed Tomography Emphysema Patterns Are Associated with Physiology and Function in Smokers

Pneumothorax Risk Factors in Smokers with and without Chronic Obstructive Pulmonary Disease

Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification

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