Standardized Quantitative High Resolution CT in Lung Diseases

Rienmüller, R.; Behr, Jürgen; Kalender, Willi A.; Schätzl, M; Altmann, Irene; Merin, Manfred; Beinert, T.

doi:10.1097/00004728-199109000-00003

Cited by 92 publications

(39 citation statements)

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“…It has been validated by correlation with lung function tests [320][321][322][323]. The percentile point is defined as the cut-off density value in Hounsfield units (HU), for which a predetermined percentage of all voxels has a lower value and, as with MLD, is also influenced by density changes in all lung structures [324,325]. Only the fifth percentile point has been correlated with pathology [326] and lung function tests [327], although in the assessment of emphysema progression there is similar sensitivity between the 10th and 20th percentile [328].…”

Section: Discussionmentioning

confidence: 99%

Outcomes for COPD pharmacological trials: from lung function to biomarkers

Cazzola¹,

MacNee²,

Martínez³

et al. 2008

Eur Respir J

752

566

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The American Thoracic Society/European Respiratory Society jointly created a Task Force on “Outcomes for COPD pharmacological trials: from lung function to biomarkers” to inform the chronic obstructive pulmonary disease research community about the possible use and limitations of current outcomes and markers when evaluating the impact of a pharmacological therapy. Based on their review of the published literature, the following document has been prepared with individual sections that address specific outcomes and markers, and a final section that summarises their recommendations.

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Section: Discussionmentioning

confidence: 99%

Outcomes for COPD pharmacological trials: from lung function to biomarkers

Cazzola¹,

MacNee²,

Martínez³

et al. 2008

Eur Respir J

752

566

View full text Add to dashboard Cite

show abstract

“…Alternatively, they focus on the generation of histograms reflecting a regional or global distribution of pixel attenuations [3]. To date, few studies have investigated the quantitative CAD assessment of ILD in patients with pulmonary fibrosis using computer-derived histogram indices, showing correlation between different histogram features and physiologic impairment [19][20][21][22]. In addition, attempts have been made to better quantify complex lung patterns by application of texture analysis using measurements such as entropy, or by using the "Adaptive Multiple Feature Method" which identifies normal lung as well as different patterns of infiltrative lung disease [3,23].…”

Section: Discussionmentioning

confidence: 99%

Interstitial lung disease associated with collagen vascular disorders: disease quantification using a computer-aided diagnosis tool

Marten¹,

Dicken

Kneitz

et al. 2008

Eur Radiol

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“…In a pathological-CT correlation study based on microscopic measurements, GOULD et al [35] showed that the lowest fifth percentile of the histogram of attenuation values was significantly correlated with AWUV. The lowest fifth percentile depends on the extent of emphysema but is also influenced by the relative amount of higher attenuation values, corresponding to airway walls, blood vessels, and any infiltrate that tends to displace the histogram to the right [37,38]. Consequently, if emphysema is associated with other pulmonary disorders, the lowest fifth percentile should underestimate the extent of emphysema.…”

Section: Subjective Computed Tomography Quantificationmentioning

confidence: 99%

“…First, the total airflow resistance of all respiratory bronchioles contributes little to the total airflow resistance of the lung [65]. Despite the high airflow resistance through one single respiratory bronchiole, the parallel connection of a high number of bronchioles leads to a wide total cross-sectional area and drastically reduces the airflow resistance [37]. Second, the upper lung zone has a relatively high ventilation/ perfusion (V9/Q9) ratio compared to lower lung zone.…”

Section: Factors Influencing Computed Tomography Densitometrymentioning

confidence: 99%

Quantitative computed tomography assessment of lung structure and function in pulmonary emphysema

2001

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Quantitative computed tomography assessment of lung structure and function in pulmonary emphysema. A. Madani, C. Keyzer, P.A. Gevenois. #ERS Journals Ltd 2001. ABSTRACT: Accurate diagnosis and quantification of pulmonary emphysema during life is important to understand the natural history of the disease, to assess the extent of the disease, and to evaluate and follow-up therapeutic interventions.Since pulmonary emphysema is defined through pathological criteria, new methods of diagnosis and quantification should be validated by comparisons against histological references.Recent studies have addressed the capability of computed tomography (CT) to quantify pulmonary emphysema accurately. The studies reviewed in this article have been based on CT scans obtained after deep inspiration or expiration, on subjective visual grading and on objective measurements of attenuation values. Especially dedicated software was used for this purpose, which provided numerical data, on both two-and three-dimensional approaches, and compared CT data with pulmonary function tests.More recently, fractal and textural analyses were applied to computed tomography scans to assess the presence, the extent, and the types of emphysema. Quantitative computed tomography has already been used in patient selection for surgical treatment of pulmonary emphysema and in pharmacotherapeutical trials. Computed tomography (CT) is an imaging method providing transverse anatomical images in which the value of each picture element (i.e. pixel) corresponds to the x-ray attenuation of a defined volume of tissue (i.e. voxel). The X-ray attenuation values for each set of projections (i.e. slice) are registered by the computer and organized in a matrix form. The number of calculated pixels determines the image matrix size, influences the image resolution, and should thus be as high as possible. In clinical practice, the matrix size is actually 5126512 pixels. The X-ray attenuation, also called tissue density, is numerically expressed in Hounsfield units (HU). The scale of attenuation values ranges from -1,000 HU, corresponding to the attenuation value of air, to 3,000 HU, with 0 HU corresponding to the attenuation value of water. The thousands of pixels included in one scan make CT the most precise morphological method able to assess the pulmonary structure in vivo [1].In pulmonary emphysema, the major advantage of CT is that in addition to providing data concerning overall lung destruction, it also identifies the specific locations in the lung where the alveolar surface has been destroyed. The ability to estimate the extent and severity of pulmonary emphysema during life is important for several reasons. 1) Accurate detection of lung destruction when it appears and careful mapping of its progression are required to understand the natural history of emphysema.2) The treatment of advanced disease by lung volume reduction surgery (LVRS) requires knowledge of the location of the lesions and objective methods of assessing the surgical

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Standardized Quantitative High Resolution CT in Lung Diseases

Cited by 92 publications

References 0 publications

Outcomes for COPD pharmacological trials: from lung function to biomarkers

Outcomes for COPD pharmacological trials: from lung function to biomarkers

Interstitial lung disease associated with collagen vascular disorders: disease quantification using a computer-aided diagnosis tool

Quantitative computed tomography assessment of lung structure and function in pulmonary emphysema

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