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Silva M, Milanese G, Seletti V, Ariani A, Sverzellati N. Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications. Br J Radiol 2018; 91:20170644. [PMID: 29172671 PMCID: PMC5965469 DOI: 10.1259/bjr.20170644] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 11/14/2017] [Accepted: 11/23/2017] [Indexed: 12/14/2022] Open
Abstract
The frenetic development of imaging technology-both hardware and software-provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetric acquisition allowed increasingly sophisticated analysis of CT data by means of computerized algorithm, namely quantitative CT (QCT). Hundreds of thousands of CTs have been analysed for characterization of focal and diffuse disease of the lung. Several QCT metrics were developed and tested against clinical, functional and prognostic descriptors. Computer-aided detection of nodules, textural analysis of focal lesions, densitometric analysis and airway segmentation in obstructive pulmonary disease and textural analysis in interstitial lung disease are the major chapters of this discipline. The validation of QCT metrics for specific clinical and investigational needs prompted the translation of such metrics from research field to patient care. The present review summarizes the state of the art of QCT in both focal and diffuse lung disease, including a dedicated discussion about application of QCT metrics as parameters for clinical care and outcomes in clinical trials.
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Affiliation(s)
- Mario Silva
- Department of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Parma, Italy
| | - Gianluca Milanese
- Department of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Parma, Italy
| | - Valeria Seletti
- Department of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Parma, Italy
| | - Alarico Ariani
- Department of Medicine, Internal Medicine and Rheumatology Unit, University Hospital of Parma, Parma, Italy
| | - Nicola Sverzellati
- Department of Medicine and Surgery (DiMeC), Section of Radiology, Unit of Surgical Sciences, University of Parma, Parma, Italy
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Doellinger F, Weinheimer O, Zwiener I, Mayer E, Buhl R, Fahlenkamp UL, Dueber C, Achenbach T. Differences of airway dimensions between patients with and without bronchiolitis obliterans syndrome after lung transplantation-Computer-assisted quantification of computed tomography. Eur J Radiol 2016; 85:1414-20. [PMID: 27423681 DOI: 10.1016/j.ejrad.2016.05.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 04/20/2016] [Accepted: 05/26/2016] [Indexed: 10/21/2022]
Abstract
BACKGROUND The aim of our retrospective study was to determine whether a dedicated software for assessment of airway morphology can detect differences in airway dimensions between patients with and without bronchiolitis obliterans syndrome (BOS), regarded as the clinical correlate of chronic lung allograft rejection. METHODS 12 patients with and 14 patients without diagnosis of BOS were enrolled in the study. Evaluation of bronchial wall area percentage (WA%) and bronchial wall thickness (WT) in all follow-up CT scans was performed using a semiautomatic airway assessment tool. We assessed temporal changes (ΔWA%, ΔWT) and compared these morphological parameters with forced expiratory volume in one second (ΔFEV1). RESULTS In patients with and without BOS, the temporal changes over the entire follow-up were 26.6% versus 16.2% for ΔFEV1 (p=0.034), 14.2% versus 5.4% for ΔWA% (p=0.003) and 0.212mm versus 0.064mm for ΔWT (p=0.011). CONCLUSIONS We detected significant differences of the temporal changes of airway dimensions (ΔWA%, ΔWT) between lung transplant recipients with and without BOS. We conclude that computer-assisted bronchial wall measurements in CT scans might complement the information from pulmonary function tests and establish as a non-invasive method to confirm BOS in lung transplant recipients in the future.
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Affiliation(s)
- Felix Doellinger
- Institute of Diagnostic and Interventional Radiology, University Medical Center, Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany; Institute of Radiology, Charité University Medicine, Campus Virchow Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany.
| | - Oliver Weinheimer
- Institute of Diagnostic and Interventional Radiology, University Medical Center, Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany; Institute of Diagnostic and Interventional Radiology, University Hospital, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany; Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Im Neuenheimer Feld 350, 69120 Heidelberg, Germany
| | - Isabella Zwiener
- Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center, Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany
| | - Eckhard Mayer
- Division of Thoracic Surgery, Department of Cardiothoracic and Vascular Surgery, University Medical Center, Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany; Department of Thoracic Surgery, Kerckhoff Clinic, Benekestr. 2-8, 61231 Bad Nauheim, Germany
| | - Roland Buhl
- Pulmonary Department, University Medical Center, Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany
| | - Ute Lina Fahlenkamp
- Institute of Radiology, Charité University Medicine, Campus Charité Mitte, Charitéplatz 1, 10117 Berlin, Germany
| | - Christoph Dueber
- Institute of Diagnostic and Interventional Radiology, University Medical Center, Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany
| | - Tobias Achenbach
- Institute of Diagnostic and Interventional Radiology, University Medical Center, Johannes-Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany; Institute of Diagnostic and Interventional Radiology, St. Vinzenz-Hospital, Merheimer Str. 221-223, 50733 Cologne, Germany
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Grenier PA, Fetita CI, Brillet PY. Quantitative computed tomography imaging of airway remodeling in severe asthma. Quant Imaging Med Surg 2016; 6:76-83. [PMID: 26981458 DOI: 10.3978/j.issn.2223-4292.2016.02.08] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Asthma is a heterogeneous condition and approximately 5-10% of asthmatic subjects have severe disease associated with structure changes of the airways (airway remodeling) that may develop over time or shortly after onset of disease. Quantitative computed tomography (QCT) imaging of the tracheobronchial tree and lung parenchyma has improved during the last 10 years, and has enabled investigators to study the large airway architecture in detail and assess indirectly the small airway structure. In severe asthmatics, morphologic changes in large airways, quantitatively assessed using 2D-3D airway registration and recent algorithms, are characterized by airway wall thickening, luminal narrowing and bronchial stenoses. Extent of expiratory gas trapping, quantitatively assessed using lung densitometry, may be used to assess indirectly small airway remodeling. Investigators have used these quantitative imaging techniques in order to attempt severity grading of asthma, and to identify clusters of asthmatic patients that differ in morphologic and functional characteristics. Although standardization of image analysis procedures needs to be improved, the identification of remodeling pattern in various phenotypes of severe asthma and the ability to relate airway structures to important clinical outcomes should help target treatment more effectively.
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Affiliation(s)
- Philippe A Grenier
- 1 Service de Radiologie, APHP, Hôpital Pitié-Salpêtrière, Université Pierre et Marie Curie, Paris, France ; 2 Department of ARTEMIS, Telecom SudParis, Institut Mines-Telecom, CNRS UMR 8145 - UMR 5157, Evry, France ; 3 Service de Radiologie, APHP, Hôpital Avicenne, Université Paris 13, Sorbonne Paris Cité, UPRESS EA 2363, France
| | - Catalin I Fetita
- 1 Service de Radiologie, APHP, Hôpital Pitié-Salpêtrière, Université Pierre et Marie Curie, Paris, France ; 2 Department of ARTEMIS, Telecom SudParis, Institut Mines-Telecom, CNRS UMR 8145 - UMR 5157, Evry, France ; 3 Service de Radiologie, APHP, Hôpital Avicenne, Université Paris 13, Sorbonne Paris Cité, UPRESS EA 2363, France
| | - Pierre-Yves Brillet
- 1 Service de Radiologie, APHP, Hôpital Pitié-Salpêtrière, Université Pierre et Marie Curie, Paris, France ; 2 Department of ARTEMIS, Telecom SudParis, Institut Mines-Telecom, CNRS UMR 8145 - UMR 5157, Evry, France ; 3 Service de Radiologie, APHP, Hôpital Avicenne, Université Paris 13, Sorbonne Paris Cité, UPRESS EA 2363, France
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Is bronchial wall imaging affected by temporal resolution? comparative evaluation at 140 and 75 ms in 90 patients. Eur Radiol 2016; 26:469-77. [DOI: 10.1007/s00330-015-3819-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Revised: 04/10/2015] [Accepted: 04/22/2015] [Indexed: 11/26/2022]
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Scaglione M, Linsenmaier U, Schueller G, Berger F, Wirth S. Airway Disease. EMERGENCY RADIOLOGY OF THE CHEST AND CARDIOVASCULAR SYSTEM 2016. [PMCID: PMC7119984 DOI: 10.1007/174_2016_39] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Mariano Scaglione
- Dept of Radiology, Pineta Grande Medical Center, Castel Volturno, Caserta, Italy
| | | | | | - Ferco Berger
- VU University Medical Center, Amsterdam, The Netherlands
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Walker C, Gupta S, Raj V, Siddiqui S, Brightling CE. Imaging advances in asthma. ACTA ACUST UNITED AC 2013; 5:453-65. [PMID: 23484630 DOI: 10.1517/17530059.2011.609886] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
INTRODUCTION Asthma is a global burden, affecting 5% of the general adult population, with approximately 5 - 10% suffering from severe asthma. Severe asthma is a complex heterogeneous disease entity, with high morbidity and mortality. Recent years have seen the introduction of a vast array of new imaging technologies, which have provided the ability to comprehensively, non-invasively and functionally assess the lungs. These advances have resulted in a better understanding of the pathophysiology in severe asthma and have the unprecedented potential to unravel the structure-function relationship of severe asthma in the future. AREAS COVERED This review article chronologically describes the technological advances currently used and to be used in the future. The article covers pitfalls in imaging of the airways and lung parenchyma in asthma from chest x-rays, CT scans, MRI, confocal florescence endomicroscopy to computational fluid dynamics. EXPERT OPINION Novel qualitative and quantitative imaging techniques have enabled us to study the large airway architecture in detail, assess the small airway structure and perform functional or novel physiological evaluations. Despite spectacular advances in imaging techniques and the birth of new modalities, there is an urgent need for both proof-of-concept studies, large cross-sectional and longitudinal clinical trials in severe asthma to validate and clinically correlate imaging-derived measures. This will extend our current understanding of the pathophysiology of severe asthma, and unravel the structure-function relationship, with the potential to discover novel severe asthma phenotypes, predict mortality, morbidity and response to existing and novel pharmacological and non-pharmacological therapies.
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Affiliation(s)
- Carolina Walker
- University of Leicester , Institute for Lung Health, Department of Infection , Inflammation and Immunity, Leicester , UK
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CT attenuation of the bronchial wall in patients with asthma: comparison with geometric parameters and correlation with function and histologic characteristics. AJR Am J Roentgenol 2013; 199:1226-33. [PMID: 23169712 DOI: 10.2214/ajr.11.8396] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purposes of this study were to compare airway wall attenuation in subjects with asthma and subjects without asthma; to correlate this value with pulmonary function test results, standard bronchial CT parameters, and immunohistologic data; and to identify CT parameters that influence obstructive indexes. SUBJECTS AND METHODS Bronchial airway wall attenuation was averaged over four bronchi in 27 subjects with asthma and 15 control subjects without asthma. The following five standard bronchial parameters also were assessed: lumen area, wall area, wall thickness, wall-to-lumen area ratio, and wall-to-total area ratio (wall area percentage). These parameters were compared between groups and correlated with functional data. Ability to predict patient group with these parameters was determined by comparison of receiver operating characteristic curves and areas under the curve. The influence of the parameters on obstructive indexes was assessed by multivariate analysis. Correlations between wall attenuation value and histologic data were studied in 11 patients with asthma. RESULTS Wall attenuation value was greater in patients with asthma (-322 ± 79 HU) than in control subjects (-463 ± 69 HU). Correlation coefficients of wall attenuation value with functional obstructive parameters were significant and greater than those obtained for any other CT parameter. The area under the curve of wall attenuation value was greater than that of bronchial lumen area and bronchial wall area. In the model of multiple regression that included wall attenuation value and wall-to-total area ratio, wall attenuation value was the only measurement that significantly influenced obstructive indexes (R(2) = 0.39-0.43). Wall attenuation value correlated with mast cell infiltration. CONCLUSION Compared with the usual bronchial CT parameters, airway wall attenuation better differentiates patients with asthma from control subjects and better correlates with obstruction.
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Brillet PY, Grenier PA, Fetita CI, Beigelman-Aubry C, Ould-Hmeidi Y, Ortner M, Nachbaur G, Adamek L, Chanez P. Relationship between the airway wall area and asthma control score in moderate persistent asthma. Eur Radiol 2013; 23:1594-602. [PMID: 23300036 DOI: 10.1007/s00330-012-2743-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2012] [Revised: 11/12/2012] [Accepted: 11/15/2012] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To assess the association between airway wall area and clinical asthma control, assessed by the Asthma Control Test (ACT). METHODS This cross-sectional study evaluated 96 adults for asthma control ["at least well controlled" (ACT ≥ 20; n = 52) or "not well controlled" (ACT < 20; n = 44) and airway dimensions: luminal area (LA), wall area (WA) and WA%], obtained using automated dedicated software measurements from volumetric CT images. Results were analysed for segmental bronchi, subsegmental bronchi in the right upper lobe and basilar segments, both uncorrected and corrected for body surface area (BSA). RESULTS For all bronchi corrected for BSA, there was no correlation between airway wall area and ACT score. There was a weak but statistically significant correlation between uncorrected WA and ACT score (r = -0.203; P = 0.047); WA values were numerically higher in the "not well-controlled" versus the "at least well-controlled asthma" subgroups. For sub-segmental bronchi, there was a correlation between the ACT score and both WA/BSA (r = -0.204; P = 0.047) and WA (r = -0.249; P = 0.014), and for upper lobe bronchi, between the ACT score and WA (r = -0.207; P = 0.044). CONCLUSION We demonstrated a correlation between subsegmental bronchial airway measurements and clinical control of asthma; this is probably a reflection of airway remodelling and structural changes in chronic poorly controlled asthma. KEY POINTS • Volumetric computed tomography offers new insights into bronchial morphology. • The relationship between current asthma control and airway wall abnormalities is assessed. • Some relationships between airway wall area and clinical control were demonstrated. • We observed less shape variation of bronchi in "not well-controlled" asthma patients.
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Affiliation(s)
- Pierre-Yves Brillet
- Université Paris 13, Sorbonne Paris Cité, UPRES EA 2363, Service de radiologie, Assistance Publique - Hôpitaux de Paris, Hôpital Avicenne, Bobigny, France.
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Bronchial wall thickness measurement in computed tomography: Effect of intravenous contrast agent and reconstruction kernel. Eur J Radiol 2012; 81:3606-13. [DOI: 10.1016/j.ejrad.2012.04.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2011] [Revised: 03/13/2012] [Accepted: 04/25/2012] [Indexed: 11/19/2022]
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Manso L, Reche M, Padial M, Valbuena T, Pascual C. Diagnostic tools assessing airway remodelling in asthma. Allergol Immunopathol (Madr) 2012; 40:108-16. [PMID: 22236733 DOI: 10.1016/j.aller.2011.11.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2011] [Accepted: 11/11/2011] [Indexed: 12/18/2022]
Abstract
Asthma is an inflammatory disease of the lower airways characterised by the presence of airway inflammation, reversible airflow obstruction and airway hyperresponsiveness and alterations on the normal structure of the airways, known as remodelling. Remodelling is characterised by the presence of metaplasia of mucous glands, thickening of the lamina reticularis, increased angiogenesis, subepithelial fibrosis and smooth muscle hypertrophy/hyperplasia. Several techniques are being optimised at present to achieve a suitable diagnosis for remodelling. Diagnostic tools could be divided into two groups, namely invasive and non-invasive methods. Invasive techniques bring us information about bronchial structural alterations, obtaining this information directly from pathological tissue, and permit measure histological modification placed in bronchi layers as well as inflammatory and fibrotic cell infiltration. Non-invasive techniques were developed to reduce invasive methods disadvantages and measure airway remodelling-related markers such as cytokines, inflammatory mediators and others. An exhaustive review of diagnostic tools used to analyse airway remodelling in asthma, including the most useful and usually employed methods, as well as the principal advantages and disadvantages of each of them, bring us concrete and summarised information about all techniques used to evaluate alterations on the structure of the airways. A deep knowledge of these diagnostic tools will make an early diagnosis of airway remodelling possible and, probably, early diagnosis will play an important role in the near future of asthma.
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Abstract
Computed tomography (CT) is the modality of choice for imaging the airways. Volumetric data sets with isotropic spatial resolution based on multidetector thin-section CT with overlapping reconstruction should be used. Chronic obstructive pulmonary disease and asthma are the 2 most common disease entities that are defined by airflow obstruction. The morphologic correlates of airway changes are dilation of the lumen, thickening of the wall, visibility of small airways due to mucus or edema, air trapping, hypoxic vasoconstriction, and collapsibility. To assess air trapping, additional expiratory low-dose scans are recommended. In clinical routine, these findings are visually assessed and should be routinely reported. However, the interobserver variability is high, and there is a clear need for objective software-based measurements. The development of such tools is challenging, and they are just becoming available on a broader scale. Novel techniques based on dual-energy CT aim to measure iodine distribution maps to assess pulmonary perfusion as well as the distribution of inhaled xenon gas to assess the distribution and time course of pulmonary ventilation. However, these techniques are still being investigated in clinical studies. This review will provide an overview of CT for the diagnosis of chronic obstructive pulmonary disease and asthma, its role in phenotyping these diseases, and the measurement of disease severity and functional compromise.
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In Vivo Computed Tomography as a Research Tool to Investigate Asthma and COPD: Where Do We Stand? J Allergy (Cairo) 2012; 2012:972479. [PMID: 22287977 PMCID: PMC3263629 DOI: 10.1155/2012/972479] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2011] [Accepted: 09/16/2011] [Indexed: 01/15/2023] Open
Abstract
Computed tomography (CT) is a clinical tool widely used to assess and followup asthma and chonic obstructive pulmonary disease (COPD) in humans. Strong efforts have been made the last decade to improve this technique as a quantitative research tool. Using semiautomatic softwares, quantification of airway wall thickness, lumen area, and bronchial wall density are available from large to intermediate conductive airways. Skeletonization of the bronchial tree can be built to assess its three-dimensional geometry. Lung parenchyma density can be analysed as a surrogate of small airway disease and emphysema. Since resident cells involve airway wall and lung parenchyma abnormalities, CT provides an accurate and reliable research tool to assess their role in vivo. This litterature review highlights the most recent advances made to assess asthma and COPD with CT, and also their drawbacks and the place of CT in clarifying the complex physiopathology of both diseases.
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Walker C, Gupta S, Hartley R, Brightling CE. Computed tomography scans in severe asthma: utility and clinical implications. Curr Opin Pulm Med 2012; 18:42-7. [PMID: 22112997 PMCID: PMC3387553 DOI: 10.1097/mcp.0b013e32834db255] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Asthma is a global burden, affecting 5% of the general adult population, of whom approximately 5-10% suffer from severe asthma. Severe asthma is a complex heterogeneous disease entity, with high morbidity and mortality. Increasingly novel techniques in computed tomography (CT) are being used to understand the pathophysiology of severe asthma. The utility and clinical implications of these CT techniques are the focus of this review. RECENT FINDINGS Novel qualitative and quantitative CT imaging techniques have enabled us to study the large airway architecture in detail, assess the small airway structure, and perform functional analysis of regional ventilation. SUMMARY Despite advances in CT imaging techniques, there is an urgent need for both proof-of-concept studies and large cross-sectional and longitudinal clinical trials in severe asthma to validate and clinically correlate imaging derived measures. This will extend our current understanding of the pathophysiology of severe asthma, and unravel the structure-function relationship, with the potential to discover novel severe asthma phenotypes and predict mortality, morbidity, and response to existing and novel pharmacological and nonpharmacological therapies.
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Affiliation(s)
- Carolina Walker
- Department of Infection, Institute for Lung Health, Immunity & Inflammation, University of Leicester, Leicester, UK
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Mets OM, de Jong PA, van Ginneken B, Gietema HA, Lammers JWJ. Quantitative computed tomography in COPD: possibilities and limitations. Lung 2011; 190:133-45. [PMID: 22179694 PMCID: PMC3310986 DOI: 10.1007/s00408-011-9353-9] [Citation(s) in RCA: 87] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2011] [Accepted: 11/28/2011] [Indexed: 01/08/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease that is characterized by chronic airflow limitation. Unraveling of this heterogeneity is challenging but important, because it might enable more accurate diagnosis and treatment. Because spirometry cannot distinguish between the different contributing pathways of airflow limitation, and visual scoring is time-consuming and prone to observer variability, other techniques are sought to start this phenotyping process. Quantitative computed tomography (CT) is a promising technique, because current CT technology is able to quantify emphysema, air trapping, and large airway wall dimensions. This review focuses on CT quantification techniques of COPD disease components and their current status and role in phenotyping COPD.
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Affiliation(s)
- O M Mets
- Department of Radiology, University Medical Center Utrecht, Huispostnummer E01.132, Postbus 85500, 3508 GA Utrecht, The Netherlands.
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Brillet PY, Attali V, Nachbaur G, Capderou A, Becquemin MH, Beigelman-Aubry C, Fetita CI, Similowski T, Zelter M, Grenier PA. Multidetector row computed tomography to assess changes in airways linked to asthma control. Respiration 2010; 81:461-8. [PMID: 21051856 DOI: 10.1159/000319580] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2010] [Accepted: 07/15/2010] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND In asthma, multidetector row computed tomography (MDCT) detects abnormalities that are related to disease severity, including increased bronchial wall thickness. However, whether these abnormalities could be related to asthma control has not been investigated yet. OBJECTIVE Our goal was to determine which changes in airways could be linked to disease control. METHODS Twelve patients with poor asthma control were included and received a salmeterol/fluticasone propionate combination daily for 12 weeks. Patients underwent clinical, functional, and MDCT examinations before and after the treatment period. MDCT examinations were performed using a low-dose protocol at a controlled lung volume (65% TLC). Bronchial lumen (LA) and wall areas (WA) were evaluated at a segmental and subsegmental level using BronCare software. Lung density was measured at the base of the lung. Baseline and end-of-treatment data were compared using the Wilcoxon signed-rank test. RESULTS After the 12-week treatment period, asthma control was achieved. Airflow obstruction and air trapping decreased as assessed by the changes in FEV(1) (p < 0.01) and expiratory reserve volume (p < 0.01). Conversely, LA and WA did not vary significantly. However, a median decrease in LA of >10% was observed in half of the patients with a wide intra- and intersubject response heterogeneity. This was concomitant with a decrease in lung density (p < 0.02 in the anteroinferior areas). CONCLUSIONS MDCT is insensitive for demonstrating any decrease in bronchial wall thickness. This is mainly due to changes in bronchial caliber which may be linked to modifications of the elastic properties of the bronchopulmonary system under treatment.
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Affiliation(s)
- Pierre-Y Brillet
- UPRES EA 2363, Service de radiologie, Hôpital Avicenne, Assistance Publique - Hôpitaux de Paris, Université Paris 13, Bobigny, France. pierre-yves.brillet @ avc.aphp.fr
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Tracheal torsion assessed by a computer-generated 3-dimensional image analysis predicts tracheal self-expandable metallic stent fracture. J Thorac Cardiovasc Surg 2010; 140:769-76. [DOI: 10.1016/j.jtcvs.2010.04.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2010] [Revised: 04/06/2010] [Accepted: 04/25/2010] [Indexed: 11/20/2022]
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Grenier PA, Beigelman-Aubry C, Fetita CI, Brillet PY. CT imaging of chronic obstructive pulmonary disease: role in phenotyping and interventions. ACTA ACUST UNITED AC 2009; 3:689-703. [DOI: 10.1517/17530050903117264] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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