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Expert Panel on Thoracic Imaging, Christensen JD, Harowicz M, Walker CM, Little BP, Batra K, Brixey AG, Carroll MB, Chelala L, Cox CW, Drummond MB, Geissen NM, Halpern J, Madan R, Gopalakrishnan VP, Shroff GS, Thornton CS, Zreloff J, Chung JH. ACR Appropriateness Criteria® Chronic Dyspnea-Noncardiovascular Origin: 2024 Update. J Am Coll Radiol 2025; 22:S163-S176. [PMID: 40409875 DOI: 10.1016/j.jacr.2025.02.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2025] [Accepted: 02/24/2025] [Indexed: 05/25/2025]
Abstract
For patients with chronic dyspnea of noncardiovascular origin, chest radiography is usually appropriate as the first-line imaging modality. Chest CT without contrast is either usually appropriate or may be appropriate as a second-line option for conditions of unclear etiology or suspected chronic obstructive pulmonary disease, small airways disease, and post-COVID-19 complications. Chest CT with contrast may have a role in patients with pleura/chest wall disease or diaphragm dysfunction. Although MRI, fluoroscopy, and FDG-PET/CT have limited roles, special imaging techniques such as inspiratory/expiratory CT and hyperpolarized xenon gas MRI are noted for their specific uses. This document aims to help clinicians choose the most suitable imaging tests, enhancing diagnostic accuracy and patient care. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
| | | | | | | | - Brent P Little
- Panel Vice-Chair, Mayo Clinic Florida, Jacksonville, Florida
| | - Kiran Batra
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Anupama G Brixey
- Portland VA Healthcare System and Oregon Health & Science University, Portland, Oregon
| | | | - Lydia Chelala
- The University of Chicago Medicine, Chicago, Illinois
| | | | - M Bradley Drummond
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; American Thoracic Society
| | - Nicole M Geissen
- Rush University Medical Center, Chicago, Illinois; The Society of Thoracic Surgeons
| | - Jason Halpern
- The Warren Alpert Medical School of Brown University and Rhode Island Medical Imaging, Providence, Rhode Island; Commission on Nuclear Medicine and Molecular Imaging
| | - Rachna Madan
- Brigham & Women's Hospital, Boston, Massachusetts
| | | | - Girish S Shroff
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christina S Thornton
- University of Calgary, Calgary, Alberta, Canada; American College of Chest Physicians
| | - Jennifer Zreloff
- Emory University, Atlanta, Georgia; Society of General Internal Medicine
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2
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Nair A, Mohan R, Greeshma MV, Benny D, Patil V, Madhunapantula SV, Jayaraj BS, Chaya SK, Khan SA, Lokesh KS, Laila MMA, Vijayalakshmi V, Karunakaran S, Sathish S, Mahesh PA. Artificial Intelligence Unveils the Unseen: Mapping Novel Lung Patterns in Bronchiectasis via Texture Analysis. Diagnostics (Basel) 2024; 14:2883. [PMID: 39767244 PMCID: PMC11675828 DOI: 10.3390/diagnostics14242883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 12/20/2024] [Accepted: 12/20/2024] [Indexed: 01/11/2025] Open
Abstract
Background and Objectives: Thin-section CT (TSCT) is currently the most sensitive imaging modality for detecting bronchiectasis. However, conventional TSCT or HRCT may overlook subtle lung involvement such as alveolar and interstitial changes. Artificial Intelligence (AI)-based analysis offers the potential to identify novel information on lung parenchymal involvement that is not easily detectable with traditional imaging techniques. This study aimed to assess lung involvement in patients with bronchiectasis using the Bronchiectasis Radiologically Indexed CT Score (BRICS) and AI-based quantitative lung texture analysis software (IMBIO, Version 2.2.0). Methods: A cross-sectional study was conducted on 45 subjects diagnosed with bronchiectasis. The BRICS severity score was used to classify the severity of bronchiectasis into four categories: Mild, Moderate, Severe, and tractional bronchiectasis. Lung texture mapping using the IMBIO AI software tool was performed to identify abnormal lung textures, specifically focusing on detecting alveolar and interstitial involvement. Results: Based on the Bronchiectasis Radiologically Indexed CT Score (BRICS), the severity of bronchiectasis was classified as Mild in 4 (8.9%) participants, Moderate in 14 (31.1%), Severe in 11 (24.4%), and tractional in 16 (35.6%). AI-based lung texture analysis using IMBIO identified significant alveolar and interstitial abnormalities, offering insights beyond conventional HRCT findings. This study revealed trends in lung hyperlucency, ground-glass opacity, reticular changes, and honeycombing across severity levels, with advanced disease stages showing more pronounced structural and vascular alterations. Elevated pulmonary vascular volume (PVV) was noted in cases with higher BRICSs, suggesting increased vascular remodeling in severe and tractional types. Conclusions: AI-based lung texture analysis provides valuable insights into lung parenchymal involvement in bronchiectasis that may not be detectable through conventional HRCT. Identifying significant alveolar and interstitial abnormalities underscores the potential impact of AI on improving the understanding of disease pathology and disease progression, and guiding future therapeutic strategies.
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Affiliation(s)
- Athira Nair
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Rakesh Mohan
- Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India;
| | - Mandya Venkateshmurthy Greeshma
- Center of Excellence in Molecular Biology and Regenerative Medicine (CEMR) Laboratory (DST-FIST Supported Center and ICMR Collaborating Center of Excellence—ICMR-CCoE), Department of Biochemistry (DST-FIST Supported Department), JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570015, Karnataka, India; (M.V.G.); (S.V.M.)
| | - Deepak Benny
- Department of Radiology, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (D.B.); (V.P.)
| | - Vikram Patil
- Department of Radiology, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (D.B.); (V.P.)
| | - SubbaRao V. Madhunapantula
- Center of Excellence in Molecular Biology and Regenerative Medicine (CEMR) Laboratory (DST-FIST Supported Center and ICMR Collaborating Center of Excellence—ICMR-CCoE), Department of Biochemistry (DST-FIST Supported Department), JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570015, Karnataka, India; (M.V.G.); (S.V.M.)
| | - Biligere Siddaiah Jayaraj
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Sindaghatta Krishnarao Chaya
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Suhail Azam Khan
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Komarla Sundararaja Lokesh
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Muhlisa Muhammaed Ali Laila
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Vadde Vijayalakshmi
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Sivasubramaniam Karunakaran
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
| | - Shreya Sathish
- Father Muller Medical College, Mangaluru 575002, Karnataka, India;
| | - Padukudru Anand Mahesh
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570004, Karnataka, India; (A.N.); (B.S.J.); (S.K.C.); (S.A.K.); (K.S.L.); (M.M.A.L.); (V.V.); (S.K.)
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3
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Escalon JG, Girvin F. Smoking-Related Interstitial Lung Disease and Emphysema. Clin Chest Med 2024; 45:461-473. [PMID: 38816100 DOI: 10.1016/j.ccm.2023.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Diagnosis and treatment of patients with smoking-related lung diseases often requires multidisciplinary contributions to optimize care. Imaging plays a key role in characterizing the underlying disease, quantifying its severity, identifying potential complications, and directing management. The primary goal of this article is to provide an overview of the imaging findings and distinguishing features of smoking-related lung diseases, specifically, emphysema/chronic obstructive pulmonary disease, respiratory bronchiolitis-interstitial lung disease, smoking-related interstitial fibrosis, desquamative interstitial pneumonitis, combined pulmonary fibrosis and emphysema, pulmonary Langerhans cell histiocytosis, and E-cigarette or vaping related lung injury.
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Affiliation(s)
- Joanna G Escalon
- Department of Radiology, New York-Presbyterian Hospital-Weill Cornell Medical College, 525 E 68th Street, New York, NY 10065, USA.
| | - Francis Girvin
- Department of Radiology, New York-Presbyterian Hospital-Weill Cornell Medical College, 525 E 68th Street, New York, NY 10065, USA
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Hoffman EA. Origins of and lessons from quantitative functional X-ray computed tomography of the lung. Br J Radiol 2022; 95:20211364. [PMID: 35193364 PMCID: PMC9153696 DOI: 10.1259/bjr.20211364] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/20/2022] [Accepted: 01/27/2022] [Indexed: 12/16/2022] Open
Abstract
Functional CT of the lung has emerged from quantitative CT (qCT). Structural details extracted at multiple lung volumes offer indices of function. Additionally, single volumetric images, if acquired at standardized lung volumes and body posture, can be used to model function by employing such engineering techniques as computational fluid dynamics. With the emergence of multispectral CT imaging including dual energy from energy integrating CT scanners and multienergy binning using the newly released photon counting CT technology, function is tagged via use of contrast agents. Lung disease phenotypes have previously been lumped together by the limitations of spirometry and plethysmography. QCT and its functional embodiment have been imbedded into studies seeking to characterize chronic obstructive pulmonary disease, severe asthma, interstitial lung disease and more. Reductions in radiation dose by an order of magnitude or more have been achieved. At the same time, we have seen significant increases in spatial and density resolution along with methodologic validations of extracted metrics. Together, these have allowed attention to turn towards more mild forms of disease and younger populations. In early applications, clinical CT offered anatomic details of the lung. Functional CT offers regional measures of lung mechanics, the assessment of functional small airways disease, as well as regional ventilation-perfusion matching (V/Q) and more. This paper will focus on the use of quantitative/functional CT for the non-invasive exploration of dynamic three-dimensional functioning of the breathing lung and beating heart within the unique negative pressure intrathoracic environment of the closed chest.
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Affiliation(s)
- Eric A Hoffman
- Departments of Radiology, Internal Medicine and Biomedical Engineering University of Iowa, Iowa, United States
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Yacoub B, Kabakus IM, Schoepf UJ, Giovagnoli VM, Fischer AM, Wichmann JL, Martinez JD, Sharma P, Rapaka S, Sahbaee P, Hoelzer P, Burt JR, Varga-Szemes A, Emrich T. Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT. Acad Radiol 2022; 29 Suppl 2:S108-S117. [PMID: 33714665 DOI: 10.1016/j.acra.2021.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/01/2021] [Accepted: 02/11/2021] [Indexed: 12/20/2022]
Abstract
RATIONALE AND OBJECTIVES Research on implementation of artificial intelligence (AI) in radiology workflows and its impact on reports remains scarce. In this study, we aim to assess if an AI platform would perform better than clinical radiology reports in evaluating noncontrast chest computed tomography (CT) scans. MATERIALS AND METHODS Consecutive patients who had undergone noncontrast chest CT were retrospectively identified. The radiology reports were reviewed in a binary fashion for reporting of pulmonary lesions, pulmonary emphysema, aortic dilatation, coronary artery calcifications (CAC), and vertebral compression fractures (VCF). CT scans were then processed using an AI platform. The reports' findings and the AI results were subsequently compared to a consensus read by two board-certificated radiologists as reference. RESULTS A total of 100 patients (mean age: 64.2 ± 14.8 years; 57% males) were included in this study. Aortic segmentation and calcium quantification failed to be processed by AI in 2 and 3 cases, respectively. AI showed superior diagnostic performance in identifying aortic dilatation (AI: sensitivity: 96.3%, specificity: 81.4%, AUC: 0.89) vs (Reports: sensitivity: 25.9%, specificity: 100%, AUC: 0.63), p <0.001; and CAC (AI: sensitivity: 89.8%, specificity: 100, AUC: 0.95) vs (Reports: sensitivity: 75.4%, specificity: 94.9%, AUC: 0.85), p = 0.005. Reports had better performance than AI in identifying pulmonary lesions (Reports: sensitivity: 97.6%, specificity: 100%, AUC: 0.99) vs (AI: sensitivity: 92.8%, specificity: 82.4%, AUC: 0.88), p = 0.024; and VCF (Reports: sensitivity:100%, specificity: 100%, AUC: 1.0) vs (AI: sensitivity: 100%, specificity: 63.7%, AUC: 0.82), p <0.001. A comparable diagnostic performance was noted in identifying pulmonary emphysema on AI (sensitivity: 80.6%, specificity: 66.7%. AUC: 0.74) and reports (sensitivity: 74.2%, specificity: 97.1%, AUC: 0.86), p = 0.064. CONCLUSION Our results demonstrate that incorporating AI support platforms into radiology workflows can provide significant added value to clinical radiology reporting.
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Affiliation(s)
- Basel Yacoub
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Ismail M Kabakus
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina.
| | - Vincent M Giovagnoli
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Andreas M Fischer
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina; University Hospital Basel, University of Basel, Department of Radiology, Basel, Switzerland
| | - Julian L Wichmann
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany; Siemens Healthineers, Erlangen, Germany
| | - John D Martinez
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | | | | | | | | | - Jeremy R Burt
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina; University Medical Center Mainz, Department of Diagnostic and Interventional Radiology, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner-Site Rhine-Main, Mainz, Germany
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6
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Hobbs SB, Chung JH, Walker CM, Bang TJ, Carter BW, Christensen JD, Danoff SK, Kandathil A, Madan R, Moore WH, Shah SD, Kanne JP. ACR Appropriateness Criteria® Diffuse Lung Disease. J Am Coll Radiol 2021; 18:S320-S329. [PMID: 34794591 DOI: 10.1016/j.jacr.2021.08.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 08/26/2021] [Indexed: 11/28/2022]
Abstract
Diffuse lung disease, frequently referred to as interstitial lung disease, encompasses numerous disorders affecting the lung parenchyma. The potential etiologies of diffuse lung disease are broad with several hundred established clinical syndromes and pathologies currently identified. Imaging plays a critical role in diagnosis and follow-up of many of these diseases, although multidisciplinary discussion is the current standard for diagnosis of several DLDs. This document aims to establish guidelines for evaluation of diffuse lung diseases for 1) initial imaging of suspected diffuse lung disease, 2) initial imaging of suspected acute exacerbation or acute deterioration in cases of confirmed diffuse lung disease, and 3) clinically indicated routine follow-up of confirmed diffuse lung disease without acute deterioration. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Stephen B Hobbs
- Vice-Chair, Informatics and Integrated Clinical Operations and Division Chief, Cardiovascular and Thoracic Radiology, University of Kentucky, Lexington, Kentucky.
| | - Jonathan H Chung
- Panel Chair; and Vice-Chair of Quality, and Section Chief, Chest Imaging, Department of Radiology, University of Chicago, Chicago, Illinois
| | | | - Tami J Bang
- Co-Director, Cardiothoracic Imaging Fellowship Committee, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado; Co-Chair, membership committee, NASCI; and Membership committee, ad-hoc online content committee, STR
| | - Brett W Carter
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jared D Christensen
- Vice-Chair, Department of Radiology, Duke University Medical Center, Durham, North Carolina; and Chair, ACR Lungs-RADS
| | - Sonye K Danoff
- Johns Hopkins Medicine, Baltimore, Maryland; Board of Directors, American Thoracic Society; Senior Medical Advisor, Pulmonary Fibrosis Foundation; and Medical Advisory Board Member, The Myositis Association
| | | | - Rachna Madan
- Associate Fellowship Director, Division of Thoracic Imaging, Brigham & Women's Hospital, Boston, Massachusetts
| | - William H Moore
- Associate Chair, Clinical Informatics and Chief, Thoracic Imaging, New York University Langone Medical Center, New York, New York
| | - Sachin D Shah
- Associate Chief and Medical Information Officer, University of Chicago, Chicago, Illinois; and Primary care physician
| | - Jeffrey P Kanne
- Specialty Chair, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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7
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Egervall K, Rosso A, Elmståhl S. Association between cardiovascular disease- and inflammation-related serum biomarkers and poor lung function in elderly. Clin Proteomics 2021; 18:23. [PMID: 34583636 PMCID: PMC8480099 DOI: 10.1186/s12014-021-09329-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/15/2021] [Indexed: 12/14/2022] Open
Abstract
Background Cardiovascular disease (CVD) is a common comorbidity in chronic obstructive pulmonary disease (COPD) and reduced lung function is an important risk factor for CVD and CVD-related death. However, the mechanisms behind the increased risk for CVD in COPD patients are not fully understood. Methods We examined the association between CVD- and inflammation-related serum biomarkers, and pulmonary function in a geriatric population. 266 biomarkers related to CVD and inflammation were analyzed in blood samples from 611 subjects aged 66–86 years who participated in the Good Aging in Skåne study. Serum levels were assessed by a proximity extension assay. Pulmonary function was measured using the lower limit of normality (LLN) spirometry criteria, i.e., forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) < LLN. Logistic regression models were implemented and multiple comparisons were accounted for. Results 10.3% of the study participants fulfilled pulmonary function decline criteria according to LLN. Out of the 266 biomarkers, only plasminogen activator, urokinase receptor (PLAUR) was statistically significantly associated with decreased pulmonary function. We could not find a statistically significant association between pulmonary function decline and other biomarkers previously linked to COPD, such as interleukin 6, tumor necrosis factor and surfactant protein D. Conclusion We found that serum levels of PLAUR are associated with pulmonary function decline in older adults. PLAUR is activated following inflammation and promotes matrix metallopeptidase (MMP) activation and extracellular matrix (ECM) degradation. This implies that PLAUR could play a role in the early phase of COPD pathogenesis. Supplementary Information The online version contains supplementary material available at 10.1186/s12014-021-09329-7.
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Affiliation(s)
- K Egervall
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
| | - A Rosso
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - S Elmståhl
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
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8
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Bakker JT, Klooster K, Vliegenthart R, Slebos DJ. Measuring pulmonary function in COPD using quantitative chest computed tomography analysis. Eur Respir Rev 2021; 30:30/161/210031. [PMID: 34261743 PMCID: PMC9518001 DOI: 10.1183/16000617.0031-2021] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/08/2021] [Indexed: 12/25/2022] Open
Abstract
COPD is diagnosed and evaluated by pulmonary function testing (PFT). Chest computed tomography (CT) primarily serves a descriptive role for diagnosis and severity evaluation. CT densitometry-based emphysema quantification and lobar fissure integrity assessment are most commonly used, mainly for lung volume reduction purposes and scientific efforts. A shift towards a more quantitative role for CT to assess pulmonary function is a logical next step, since more, currently underutilised, information is present in CT images. For instance, lung volumes such as residual volume and total lung capacity can be extracted from CT; these are strongly correlated to lung volumes measured by PFT. This review assesses the current evidence for use of quantitative CT as a proxy for PFT in COPD and discusses challenges in the movement towards CT as a more quantitative modality in COPD diagnosis and evaluation. To better understand the relevance of the traditional PFT measurements and the role CT might play in the replacement of these parameters, COPD pathology and traditional PFT measurements are discussed. CT may be used as a proxy for lung function in COPD diagnosis and evaluation, particularly for the hyperinflation markershttps://bit.ly/2RrGAZf
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Affiliation(s)
- Jens T Bakker
- Dept of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Karin Klooster
- Dept of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rozemarijn Vliegenthart
- Dept of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Dirk-Jan Slebos
- Dept of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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9
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Muller PDT, Barbosa GW, O'Donnell DE, Neder JA. Cardiopulmonary and Muscular Interactions: Potential Implications for Exercise (In)tolerance in Symptomatic Smokers Without Chronic Obstructive Pulmonary Disease. Front Physiol 2019; 10:859. [PMID: 31354517 PMCID: PMC6635481 DOI: 10.3389/fphys.2019.00859] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 06/20/2019] [Indexed: 12/15/2022] Open
Abstract
Smoking and physical inactivity are important preventable causes of disability and early death worldwide. Reduced exercise tolerance has been described in smokers, even in those who do not fulfill the extant physiological criteria for chronic obstructive pulmonary disease (COPD) and are not particularly sedentary. In this context, it is widely accepted that exercise capacity depends on complex cardio-pulmonary interactions which support oxygen (O2) delivery to muscle mitochondria. Although peripheral muscular factors, O2 transport disturbances (including the effects of increased carboxyhemoglobin) and autonomic nervous system unbalance have been emphasized, other derangements have been more recently described, including early microscopic emphysema, pulmonary microvascular disease, ventilatory and gas exchange inefficiency, and left ventricular diastolic dysfunction. Using an integrative physiological approach, the present review summarizes the recent advances in knowledge on the effects of smoking on the lung-heart-muscle axis under the stress of exercise. Special attention is given to the mechanisms connecting physiological abnormalities such as early cardio-pulmonary derangements, inadequate oxygen delivery and utilization, and generalized bioenergetic disturbances at the muscular level with the negative sensations (sense of heightened muscle effort and breathlessness) that may decrease the tolerance of smokers to physical exercise. A deeper understanding of the systemic effects of smoking in subjects who did not (yet) show evidences of COPD and ischemic heart disease - two devastating smoking related diseases - might prove instrumental to fight their ever-growing burden.
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Affiliation(s)
- Paulo de Tarso Muller
- Laboratory of Respiratory Pathophysiology, Respiratory Division, Department of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | - Gisele Walter Barbosa
- Laboratory of Respiratory Pathophysiology, Respiratory Division, Department of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | - Denis E O'Donnell
- Laboratory of Clinical Exercise Physiology, Respiratory Investigation Unit, Division of Respiratory and Critical Care Medicine, Department of Medicine, Queen's University, Kingston, ON, Canada
| | - J Alberto Neder
- Laboratory of Clinical Exercise Physiology, Respiratory Investigation Unit, Division of Respiratory and Critical Care Medicine, Department of Medicine, Queen's University, Kingston, ON, Canada
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10
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ACR Appropriateness Criteria ® Chronic Dyspnea-Noncardiovascular Origin. J Am Coll Radiol 2018; 15:S291-S301. [PMID: 30392598 DOI: 10.1016/j.jacr.2018.09.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 09/07/2018] [Indexed: 12/12/2022]
Abstract
Chronic dyspnea may result from a variety of disorders of cardiovascular, pulmonary, gastrointestinal, neuromuscular, systemic, and psychogenic etiology. This article discusses guidelines for the initial imaging of six variants for chronic dyspnea of noncardiovascular origin: (1) Chronic dyspnea of unclear etiology; (2) Chronic dyspnea with suspected chronic obstructive pulmonary disease; (3) Chronic dyspnea with suspected central airways disease; (4) Chronic dyspnea with suspected interstitial lung disease; (5) Chronic dyspnea with suspected disease of the pleura or chest wall; and (6) Chronic dyspnea with suspected diaphragm dysfunction. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Ronit A, Kristensen T, Çolak Y, Kühl JT, Kalhauge A, Lange P, Nordestgaard BG, Vestbo J, Nielsen SD, Kofoed KF. Validation of lung density indices by cardiac CT for quantification of lung emphysema. Int J Chron Obstruct Pulmon Dis 2018; 13:3321-3330. [PMID: 30349236 PMCID: PMC6188118 DOI: 10.2147/copd.s172695] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Objectives Cardiovascular disease is often associated with COPD. Lung density quantification of images obtained from cardiac computed tomography (CT) scans would allow simultaneous evaluation of emphysema and coronary artery calcification score and provide further mechanistic insight into the relationship between these syndromes. Patients and methods We assessed the agreement between lung density indices obtained by cardiac and full-lung CT scans. Paired cardiac and chest CT scans were assessed in 156 individuals with and without airflow limitation. Quantitative threshold indices of low attenuation area (LAA) and 15th percentile density index (PD15) were compared in terms of precision using Spearman’s correlation coefficient, accuracy using concordance correlation coefficient (CCC), and relative accuracy using P15 and P30. We also assessed the relationship between visually and quantitatively determined emphysema and used receiver operating characteristic curves to evaluate the ability of lung density indices to discriminate airflow limitation. Results Correlation coefficients between lung density indices obtained from cardiac and chest CT scans were 0.49 for percent LAA (%LAA)-950 and 0.71 for PD15. Corresponding values for CCC, P15, and P30 were 0.33, 3.2, and 5.1, respectively, for %LAA-950, and 0.34, 17.3, and 37.8, respectively, for PD15. For both cardiac and chest CT scans, visually determined emphysema was associated with higher %LAA-950 and lower PD15, and the ability of %LAA-950 and PD15 to discriminate airflow limitation were comparable. Conclusion Although chest CT imaging is preferable, cardiac CT imaging may also be used for lung emphysema quantification where association measures are of primary interest.
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Affiliation(s)
- Andreas Ronit
- Department of Infectious Diseases 8632, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark,
| | - Thomas Kristensen
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Yunus Çolak
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Jørgen Tobias Kühl
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Anna Kalhauge
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Peter Lange
- Department of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark.,Medical Unit, Respiratory Section, Hvidovre Hospital, Copenhagen University Hospital, Hvidovre, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jørgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, UK
| | - Susanne D Nielsen
- Department of Infectious Diseases 8632, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark,
| | - Klaus F Kofoed
- Department of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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12
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Quantitative computed tomography phenotypes, spirometric parameters, and episodes of exacerbation in heavy smokers: An analysis from South America. PLoS One 2018; 13:e0205273. [PMID: 30307987 PMCID: PMC6181358 DOI: 10.1371/journal.pone.0205273] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Accepted: 09/22/2018] [Indexed: 11/29/2022] Open
Abstract
Objective To evaluate the quantitative computed tomography (QCT) phenotypes, airflow limitations, and exacerbation-like episodes in heavy smokers in Southern Brazil. Methods We enrolled 172 smokers with a smoking history ≥30 pack-years who underwent pulmonary function tests (PFTs) and CT scan for lung cancer screening. Patients were classified regarding airflow limitation (FEV1/FVC <0.7 forced expiratory volume in 1 second/forced vital capacity) and the presence of emphysema on the QCT. The QCT were analyzed in specialized software and patients were classified in two disease-predominant phenotypes: emphysema-predominant (EP) and non-emphysema-predominant (NEP). EP was determined as ≥6% of percent low-attenuation areas (LAA%) with less than -950 Hounsfield units. NEP was defined as having a total LAA% of less than 6%. Results Most of our patients were classified in the EP phenotype. The EP group had significantly worse predicted FEV1 (60.6 ±22.9 vs. 89.7 ±15.9, p <0.001), higher rates of airflow limitation (85.7% vs. 15%; p <0.001), and had more exacerbation-like episodes (25.8% vs. 8.3%, p <0.001) compared to the NEP group. Smoking history, ethnicity, and BMI did not differ between the groups. The total LAA% was the QCT parameter with the strongest correlation to FEV1 (r = -0.669) and FEV1/FVC (r = -0.787). Conclusions Heavy smokers with the EP phenotype on QCT were more likely to have airflow limitation, worse predicted FEV1, and a higher rate of exacerbation-like episodes than those with the NEP phenotype. Approximately 23% of patients with no airflow limitation on PFTs were classified in EP phenotype.
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Kohli P, Staziaki PV, Janjua SA, Addison DA, Hallett TR, Hennessy O, Takx RAP, Lu MT, Fintelmann FJ, Semigran M, Harris RS, Celli BR, Hoffmann U, Neilan TG. The effect of emphysema on readmission and survival among smokers with heart failure. PLoS One 2018; 13:e0201376. [PMID: 30059544 PMCID: PMC6066229 DOI: 10.1371/journal.pone.0201376] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 07/13/2018] [Indexed: 12/22/2022] Open
Abstract
Heart Failure (HF) and chronic obstructive pulmonary disease (COPD) are morbid diseases that often coexist. In patients with coexisting disease, COPD is an independent risk factor for readmission and mortality. However, spirometry is often inaccurate in those with active heart failure. Therefore, we investigated the association between the presence of emphysema on computed tomography (CT) and readmission rates in smokers admitted with heart failure (HF). The cohort included a consecutive group of smokers discharged with HF from a tertiary center between January 1, 2014 and April 1, 2014 who also had a CT of the chest for dyspnea. The primary endpoint was any readmission for HF before April 1, 2016; secondary endpoints were 30-day readmission for HF, length of stay and all-cause mortality. Over the study period, there were 225 inpatient smokers with HF who had a concurrent chest CT (155 [69%] males, age 69±11 years, ejection fraction [EF] 46±18%, 107 [48%] LVEF of < 50%). Emphysema on CT was present in 103 (46%) and these were older, had a lower BMI, more pack-years, less diabetes and an increased afterload. During a follow-up of 2.1 years, there were 110 (49%) HF readmissions and 55 (24%) deaths. When separated by emphysema on CT, any readmission, 30-day readmission, length of stay and mortality were higher among HF patients with emphysema. In multivariable regression, emphysema by CT was associated with a two-fold higher (adjusted HR 2.11, 95% CI 1.41–3.15, p < 0.001) risk of readmission and a trend toward increased mortality (adjusted HR 1.70 95% CI 0.86–3.34, p = 0.12). In conclusion, emphysema by CT is a frequent finding in smokers hospitalized with HF and is associated with adverse outcomes in HF. This under recognized group of patients with both emphysema and heart failure may benefit from improved recognition and characterization of their co-morbid disease processes and optimization of therapies for their lung disease.
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Affiliation(s)
- Puja Kohli
- Pulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- * E-mail:
| | - Pedro V. Staziaki
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Sumbal A. Janjua
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Daniel A. Addison
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Travis R. Hallett
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Orla Hennessy
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Richard A. P. Takx
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Michael T. Lu
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Florian J. Fintelmann
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Marc Semigran
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Robert S. Harris
- Pulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Bartolome R. Celli
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham & Women’s Hospital, Boston, Massachusetts, United States of America
| | - Udo Hoffmann
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Tomas G. Neilan
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
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Kaya L, Özel D, Özel BD. Evaluating Qualitative and Quantitative Computerized Tomography Indicators of Chronic Obstructive Pulmonary Disease and Their Correlation with Pulmonary Function Tests. Pol J Radiol 2017; 82:511-515. [PMID: 29662581 PMCID: PMC5894001 DOI: 10.12659/pjr.901968] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Accepted: 12/11/2016] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND With increasingly aging populations, chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death today. Emphysematous changes, an important component of the disease, must be determined on HRCT, either qualitatively or quantitatively. The purpose of this study was to evaluate features that help determine emphysematous changes and correlate them with respiratory function tests (RFTs). MATERIAL/METHODS A total of thirty COPD patients and a control group of the same size, matched for age, were included in the study. The mean lung parenchyma density values on inspiration and expiration, visual HRCT scores, and pulmonary function tests were obtained. IBM SPSS statistical software (version 22) was used to perform correlation analysis (Pearson's coefficient) and the Mann-Whitney U test. RESULTS The most valuable RFTs for determining emphysematous changes were DLCO, FEV1, and FEV1/FVC, in that order. Quantitative measures of the mean lung density had the highest correlation with coefficient on expiration. CONCLUSIONS As regards the comparison between objective and subjective density values, the HRCT-based visual density values are satisfactory. On the other hand, the best assessment can be performed with the use of mean density values on expiration. DLCO, FEV1, and FEV1/FVC were found to be valuable parameters in determining parenchymal changes.
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Affiliation(s)
- Lerzan Kaya
- Radiology Clinic, Okmeydani Education and Research Hospital, İstanbul, Turkey
| | - Deniz Özel
- Radiology Clinic, Okmeydani Education and Research Hospital, İstanbul, Turkey
| | - Betül Duran Özel
- Radiology Clinic, Şişli Hamidiye Etfal Education and Research Hospital, İstanbul, Turkey
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15
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Fujimoto Y, Oki Y, Kaneko M, Sakai H, Misu S, Yamaguchi T, Mitani Y, Yasuda H, Ishikawa A. Usefulness of the desaturation-distance ratio from the six-minute walk test for patients with COPD. Int J Chron Obstruct Pulmon Dis 2017; 12:2669-2675. [PMID: 28919734 PMCID: PMC5593400 DOI: 10.2147/copd.s143477] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Purpose A straightforward, noninvasive method is needed to assess emphysema and pulmonary hypertension (PH) in COPD patients. The desaturation–distance ratio (DDR) is an index derived from the distance traveled and level of desaturation during a six-minute walk test (6MWT); it has previously been shown to be associated with percentage of forced expiratory volume in the first second of expiration (%FEV1.0) and percentage of diffusion capacity of the lung for carbon monoxide (%DLCO). The aim of this study was to examine the associations between DDR and emphysema and PH. Patients and methods We collected the following data for 74 stable COPD outpatients: lung function tests (%FEV1.0 and %DLCO), 6MWT distance and desaturation, and area of emphysema on computed tomography (percentage of low attenuation area). Enlargement of the pulmonary artery (PA) was assessed by the ratio of the diameter of the PA to that of the aorta (PA:A ratio) as an index of PH. DDR was calculated by the distance traveled and the degree of desaturation reached during a 6MWT. The relationships between study outcomes were assessed with Spearman’s rank-correlation analysis. Receiver operating characteristic (ROC) curves were used to determine the threshold values with the optimum cutoff points for predicting severe or very severe airway obstruction, pulmonary diffusing capacity disorder, moderate or severe emphysema, and enlargement of the PA. Results DDR correlated significantly with %FEV1.0, %DLCO, %LAA, and PA:A ratio. DDR showed high accuracy (area under the ROC curve >0.7) for predicting severe or very severe airway obstruction, pulmonary diffusing capacity disorder, moderate or severe emphysema, and enlargement of the PA. Conclusion The results suggest that DDR is a good index of emphysema and PH in COPD patients. The 6MWT is widely used to assess COPD, and DDR could help with the early diagnosis of COPD.
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Affiliation(s)
- Yukari Fujimoto
- Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan
| | - Yutaro Oki
- Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan
| | - Masahiro Kaneko
- Department of Respiratory Medicine, Kobe City Medical Center West Hospital, Kobe, Hyogo, Japan
| | - Hideki Sakai
- Department of Rehabilitation, Kobe City Medical Center West Hospital, Kobe, Hyogo, Japan
| | - Shogo Misu
- Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan.,Department of Rehabilitation, Kobe City Medical Center West Hospital, Kobe, Hyogo, Japan
| | - Takumi Yamaguchi
- Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan.,Department of Rehabilitation, Kobe City Medical Center West Hospital, Kobe, Hyogo, Japan
| | - Yuji Mitani
- Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan.,Department of Rehabilitation, Sapporo Nishimaruyama Hospital, Sapporo, Hokkaido, Japan
| | - Hisafumi Yasuda
- Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan
| | - Akira Ishikawa
- Department of Community Health Sciences, Kobe University Graduate School of Health Sciences, Kobe, Hyogo, Japan
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16
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Triplette M, Attia EF, Akgün KM, Soo Hoo GW, Freiberg MS, Butt AA, Wongtrakool C, Goetz MB, Brown ST, Graber CJ, Huang L, Crothers K. A Low Peripheral Blood CD4/CD8 Ratio Is Associated with Pulmonary Emphysema in HIV. PLoS One 2017; 12:e0170857. [PMID: 28122034 PMCID: PMC5266287 DOI: 10.1371/journal.pone.0170857] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 01/11/2017] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES The prevalence of emphysema is higher among HIV-infected (HIV+) individuals compared to HIV-uninfected persons. While greater tobacco use contributes, HIV-related effects on immunity likely confer additional risk. Low peripheral blood CD4+ to CD8+ T-lymphocyte (CD4/CD8) ratio may reflect chronic inflammation in HIV and may be a marker of chronic lung disease in this population. Therefore, we sought to determine whether the CD4/CD8 ratio was associated with chronic obstructive pulmonary disease (COPD), particularly the emphysema subtype, in a cohort of HIV+ subjects. METHODS We performed a cross-sectional analysis of 190 HIV+ subjects enrolled in the Examinations of HIV Associated Lung Emphysema (EXHALE) study. Subjects underwent baseline laboratory assessments, pulmonary function testing and chest computed tomography (CT) analyzed for emphysema severity and distribution. We determined the association between CD4/CD8 ratio and emphysema, and the association between CD4/CD8 ratio and pulmonary function markers of COPD. RESULTS Mild or greater emphysema (>10% lung involvement) was present in 31% of subjects. Low CD4/CD8 ratio was associated with >10% emphysema in multivariable models, adjusting for risk factors including smoking, current and nadir CD4 count and HIV RNA level. Those with CD4/CD8 ratio <0.4 had 6.3 (1.1-39) times the odds of >10% emphysema compared to those with a ratio >1.0 in fully adjusted models. A low CD4/CD8 ratio was also associated with reduced diffusion capacity (DLCO). CONCLUSIONS A low CD4/CD8 ratio was associated with emphysema and low DLCO in HIV+ subjects, independent of other risk factors and clinical markers of HIV. The CD4/CD8 ratio may be a useful, clinically available, marker for risk of emphysema in HIV+ subjects in the antiretroviral therapy (ART) era.
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Affiliation(s)
- Matthew Triplette
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Engi F. Attia
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Kathleen M. Akgün
- Department of Medicine, Veterans Affairs Connecticut Healthcare System, New Haven, Connecticut, United States of America
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Guy W. Soo Hoo
- Department of Medicine, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, United States of America
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Matthew S. Freiberg
- Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Adeel A. Butt
- Department of Medicine, Weill Cornell Medical College, New York, New York, United States of America
- Hamad Healthcare Quality Institute and Medical Corporation, Doha, Qatar
| | - Cherry Wongtrakool
- Department of Medicine, Atlanta Veterans Affairs Medical Center, Atlanta, Georgia, United States of America
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Matthew Bidwell Goetz
- Department of Medicine, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, United States of America
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Sheldon T. Brown
- Department of Medicine, James J. Peters Veterans Affairs Medical Center, New York, New York, United States of America
- Department of Medicine, Icahn School of Medicine at Mt. Sinai, New York, New York, United States of America
| | - Christopher J. Graber
- Department of Medicine, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, United States of America
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Laurence Huang
- Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - Kristina Crothers
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
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18
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Gevenois PA, De Vuyst P, Dedeire S, Cosaert J, Vande Weyer R, Struyven J. Conventional and High-Resolution CT in Asymptomatic Asbestos-Exposed Workers. Acta Radiol 2016. [DOI: 10.1177/028418519403500306] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
To compare the value of conventional CT (CCT) and high-resolution CT (HRCT) to detect benign asbestos-related diseases, 159 exposed workers with a normal chest radiography were imaged by both techniques. Pleural plaques were detected in a total of 59 cases (37.1%). Ten cases (16.9%) were detected by CCT only and one case (1.7%) by HRCT only. Pulmonary lesions compatible with parenchymal asbestosis were detected by HRCT in 20 cases, whereas CCT showed abnormalities in 45% of these. Rounded atelectasis was equally recognized by both techniques. The results confirm that in a subject with a normal chest radiography, HRCT is a better diagnostic tool to demonstrate lesions of asbestosis. On the other hand, HRCT is insufficient to exclude the presence of pleural plaques. When HRCT does not reveal pleural abnormalities, CCT should be performed.
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Capaldi DPI, Zha N, Guo F, Pike D, McCormack DG, Kirby M, Parraga G. Pulmonary Imaging Biomarkers of Gas Trapping and Emphysema in COPD:3He MR Imaging and CT Parametric Response Maps. Radiology 2016; 279:597-608. [DOI: 10.1148/radiol.2015151484] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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Harvey BG, Strulovici-Barel Y, Kaner RJ, Sanders A, Vincent TL, Mezey JG, Crystal RG. Risk of COPD with obstruction in active smokers with normal spirometry and reduced diffusion capacity. Eur Respir J 2015; 46:1589-1597. [PMID: 26541521 DOI: 10.1183/13993003.02377-2014] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Accepted: 07/30/2015] [Indexed: 02/05/2023]
Abstract
Smokers are assessed for chronic obstructive pulmonary disease (COPD) using spirometry, with COPD defined by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) as airflow limitation that is not fully reversible with bronchodilators. There is a subset of smokers with normal spirometry (by GOLD criteria), who have a low diffusing capacity of the lung for carbon monoxide (DLCO), a parameter linked to emphysema and small airway disease. The natural history of these "normal spirometry/low DLCO" smokers is unknown.From a cohort of 1570 smokers in the New York City metropolitian area, all of whom had normal spirometry, two groups were randomly selected for lung function follow-up: smokers with normal spirometry/normal DLCO (n=59) and smokers with normal spirometry/low DLCO (n=46). All had normal history, physical examination, complete blood count, urinalysis, HIV status, α1-antitrypsin level, chest radiography, forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC ratio and total lung capacity. Throughout the study, all continued to be active smokers.In the normal spirometry/normal DLCO group assessed over 45±20 months, 3% developed GOLD-defined COPD. In contrast, in the normal spirometry/low DLCO group, followed over 41±31 months, 22% developed GOLD-defined COPD.Despite appearing "normal" according to GOLD, smokers with normal spirometry but low DLCO are at significant risk of developing COPD with obstruction to airflow.
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Affiliation(s)
- Ben-Gary Harvey
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | | | - Robert J Kaner
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Abraham Sanders
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Thomas L Vincent
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York
| | - Jason G Mezey
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York.,Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York
| | - Ronald G Crystal
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
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Carter RI, Ungurs MJ, Pillai A, Mumford RA, Stockley RA. The Relationship of the Fibrinogen Cleavage Biomarker Aα-Val360 With Disease Severity and Activity in α1-Antitrypsin Deficiency. Chest 2015; 148:382-388. [PMID: 25569856 DOI: 10.1378/chest.14-0520] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND New markers of COPD and emphysema disease activity are urgently required since current measures of disease severity do not reflect the total disease burden nor predict disease progression. A recently described in vivo marker of neutrophil elastase activity (Aα-Val360) may be an effective marker of COPD and emphysema disease activity, and the current study explores its use in patients with α1-antitrypsin deficiency (AATD) across the disease severity spectrum with particular interest in whether it can be used as an early predictor of the need for intervention. METHODS Cross-sectional and longitudinal relationships between Aα-Val360 and full lung-function tests, CT scan densitometry, and other biomarkers were explored in this study of a registry of untreated patients with PiZZ AATD. RESULTS The Aα-Val360 related cross-sectionally to physiologic, radiologic, and symptomatic markers of disease severity though not disease progression. Similar cross-sectional relationships were observed in subjects with mild physiologic abnormalities; however, in this subgroup, baseline Aα-Val360 concentration did relate to subsequent disease progression. CONCLUSIONS In cross-sectional studies, Aα-Val360 reflects disease severity in AATD and may be a useful marker of disease activity in patients with early disease in whom therapeutic intervention may be indicated.
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Affiliation(s)
- Richard I Carter
- The Royal Wolverhampton Hospitals NHS Trust, West Midlands, England
| | - Michael J Ungurs
- Centre for Translational Inflammation Research, University of Birmingham Research Laboratories, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, England
| | - Anilkumar Pillai
- Centre for Translational Inflammation Research, University of Birmingham Research Laboratories, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, England
| | | | - Robert A Stockley
- Centre for Translational Inflammation Research, University of Birmingham Research Laboratories, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, England; ADAPT Project, Lung Function and Sleep, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, England.
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Thomsen LH, Shaker SB, Dirksen A, Pedersen JH, Tal-Singer R, Bakke P, Vestbo J. Correlation Between Emphysema and Lung Function in Healthy Smokers and Smokers With COPD. CHRONIC OBSTRUCTIVE PULMONARY DISEASES-JOURNAL OF THE COPD FOUNDATION 2015; 2:204-213. [PMID: 28848844 DOI: 10.15326/jcopdf.2.3.2014.0154] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Background: Emphysema is an important component of COPD; however, in previous studies of the correlation between airflow limitation (AFL) and computed tomography (CT) lung density as a surrogate for emphysema has varied. We hypothesised a good correlation between lung function (forced expiratory volume in first second [FEV1]) and emphysema (15th percentile density [PD15]) and that this correlation also exists between loss of lung tissue and decline in lung function even within the time frame of longitudinal studies of relatively short duration. Methods: We combined 2 large longitudinal studies (the Danish Lung Cancer Screening Trial [DLCST] and the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints [ECLIPSE]) of smokers or former smokers, with a wide range of AFL and CT lung density, and analysed data from 2148 participants who did not change smoking habits and who had at least 2 CT scans and 2 FEV1 measurements at least 3 years apart. Results: Baseline correlation between FEV1 and PD15 was high (r=0.716, 95% confidence interval [CI]: 0.694-0.736, p<0.001) indicating that at least half of the variation in FEV1 can be explained by variation in CT lung density. Correlation between the decline in FEV1 and progression of PD15 was considerably weaker (r= 0.081, 95% CI: 0.038-0.122, p<0.001). Conclusions: Correlation is very high between lung density and lung function in a broad spectrum of smokers and ex-smokers. In contrast, the temporal associations (slopes) are weakly correlated, probably due to uncertainty in the estimation of slopes within a time frame of 3-4 years.
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Affiliation(s)
- Laura H Thomsen
- Department of Respiratory Medicine, Gentofte Hospital, University of Copenhagen, Denmark
| | - Saher B Shaker
- Department of Respiratory Medicine, Gentofte Hospital, University of Copenhagen, Denmark
| | - Asger Dirksen
- Department of Respiratory Medicine, Gentofte Hospital, University of Copenhagen, Denmark
| | - Jesper H Pedersen
- Department of Cardiothoracic Surgery, University of Copenhagen, Denmark
| | | | - Per Bakke
- Department of Clinical Science, University of Bergen, and Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
| | - Jørgen Vestbo
- Department of Respiratory Medicine, Gentofte Hospital, University of Copenhagen, Denmark.,Respiratory and Allergy Research Group, Manchester Academic Health Science Centre, University Hospital South Manchester; NHS Foundation Trust, Manchester, United Kingdom
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Lynch DA, Austin JHM, Hogg JC, Grenier PA, Kauczor HU, Bankier AA, Barr RG, Colby TV, Galvin JR, Gevenois PA, Coxson HO, Hoffman EA, Newell JD, Pistolesi M, Silverman EK, Crapo JD. CT-Definable Subtypes of Chronic Obstructive Pulmonary Disease: A Statement of the Fleischner Society. Radiology 2015; 277:192-205. [PMID: 25961632 DOI: 10.1148/radiol.2015141579] [Citation(s) in RCA: 429] [Impact Index Per Article: 42.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The purpose of this statement is to describe and define the phenotypic abnormalities that can be identified on visual and quantitative evaluation of computed tomographic (CT) images in subjects with chronic obstructive pulmonary disease (COPD), with the goal of contributing to a personalized approach to the treatment of patients with COPD. Quantitative CT is useful for identifying and sequentially evaluating the extent of emphysematous lung destruction, changes in airway walls, and expiratory air trapping. However, visual assessment of CT scans remains important to describe patterns of altered lung structure in COPD. The classification system proposed and illustrated in this article provides a structured approach to visual and quantitative assessment of COPD. Emphysema is classified as centrilobular (subclassified as trace, mild, moderate, confluent, and advanced destructive emphysema), panlobular, and paraseptal (subclassified as mild or substantial). Additional important visual features include airway wall thickening, inflammatory small airways disease, tracheal abnormalities, interstitial lung abnormalities, pulmonary arterial enlargement, and bronchiectasis.
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Affiliation(s)
- David A Lynch
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - John H M Austin
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - James C Hogg
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Philippe A Grenier
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Hans-Ulrich Kauczor
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Alexander A Bankier
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - R Graham Barr
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Thomas V Colby
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Jeffrey R Galvin
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Pierre Alain Gevenois
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Harvey O Coxson
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Eric A Hoffman
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - John D Newell
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Massimo Pistolesi
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Edwin K Silverman
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - James D Crapo
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
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Araki T, Nishino M, Zazueta OE, Gao W, Dupuis J, Okajima Y, Latourelle JC, Rosas IO, Murakami T, O'Connor GT, Washko GR, Hunninghake GM, Hatabu H. Paraseptal emphysema: Prevalence and distribution on CT and association with interstitial lung abnormalities. Eur J Radiol 2015; 84:1413-8. [PMID: 25868675 DOI: 10.1016/j.ejrad.2015.03.010] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Revised: 02/26/2015] [Accepted: 03/09/2015] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To investigate the prevalence and distribution of paraseptal emphysema on chest CT images in the Framingham Heart Study (FHS) population, and assess its impact on pulmonary function. Also pursued was the association with interstitial lung abnormalities. MATERIALS AND METHODS We assessed 2633 participants in the FHS for paraseptal emphysema on chest CT. Characteristics of the participants, including age, sex, smoking status, clinical symptoms, and results of pulmonary function tests, were compared between those with and without paraseptal emphysema. The association between paraseptal emphysema and interstitial lung abnormalities was investigated. RESULTS Of the 2633 participants, 86 (3%) had pure paraseptal emphysema (defined as paraseptal emphysema with no other subtypes of emphysema other than paraseptal emphysema or a very few centrilobular emphysema involved) in at least one lung zone. The upper zone of the lungs was almost always involved. Compared to the participants without paraseptal emphysema, those with pure paraseptal emphysema were significantly older, and were more frequently male and smokers (mean 64 years, 71% male, mean 36 pack-years, P<0.001) and had significantly decreased FEV1/FVC% (P=0.002), and diffusion capacity of carbon monoxide (DLCO) (P=0.002). There was a significant association between pure paraseptal emphysema and interstitial lung abnormalities (P<0.001). CONCLUSIONS The prevalence of pure paraseptal emphysema was 3% in the FHS population, predominantly affects the upper lung zone, and contributes to decreased pulmonary function. Cigarette smoking, aging, and male gender were the factors associated with the presence of paraseptal emphysema. Significant association between paraseptal emphysema and interstitial lung abnormalities was observed.
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Affiliation(s)
- Tetsuro Araki
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02215, USA; Department of Radiology, Kinki University Faculty of Medicine, Osaka-Sayama, Japan.
| | - Mizuki Nishino
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02215, USA
| | - Oscar E Zazueta
- The Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wei Gao
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Yuka Okajima
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02215, USA
| | - Jeanne C Latourelle
- Department of Medicine and Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Ivan O Rosas
- The Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Takamichi Murakami
- Department of Radiology, Kinki University Faculty of Medicine, Osaka-Sayama, Japan
| | - George T O'Connor
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA; Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - George R Washko
- The Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gary M Hunninghake
- The Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Hiroto Hatabu
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02215, USA
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Capaldi DP, Sheikh K, Guo F, Svenningsen S, Etemad-Rezai R, Coxson HO, Leipsic JA, McCormack DG, Parraga G. Free-breathing pulmonary 1H and Hyperpolarized 3He MRI: comparison in COPD and bronchiectasis. Acad Radiol 2015; 22:320-9. [PMID: 25491735 DOI: 10.1016/j.acra.2014.10.003] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Revised: 10/02/2014] [Accepted: 10/03/2014] [Indexed: 10/24/2022]
Abstract
RATIONALE AND OBJECTIVES In this proof-of-concept demonstration, we aimed to quantitatively and qualitatively compare pulmonary ventilation abnormalities derived from Fourier decomposition of free-breathing (1)H magnetic resonance imaging (FDMRI) to hyperpolarized (3)He MRI in subjects with chronic obstructive pulmonary disease (COPD) and bronchiectasis. MATERIALS AND METHODS All subjects provided written informed consent to a protocol approved by a local research ethics board and Health, Canada, and they underwent MRI, computed tomography (CT), spirometry, and plethysmography during a single 2-hour visit. Semiautomated segmentation was used to generate ventilation defect measurements derived from FDMRI and (3)He MRI, and these were compared using analysis of variance and Pearson correlations. RESULTS Twenty-six subjects were evaluated including 12 COPD subjects (67 ± 9 years) and 14 bronchiectasis subjects (70 ± 11 years). For COPD subjects, FDMRI and (3)He MRI ventilation defect percent (VDP) was 7 ± 6% and 24 ± 14%, respectively (P < .001; bias = -16 ± 9%). In COPD subjects, FDMRI was significantly correlated with (3)He MRI VDP (r = .88; P = .0001), (3)He MRI apparent diffusion coefficient (r = .71; P < .05), airways resistance (r = .60; P < .05), and RA950 (r = .80; P < .01). In subjects with bronchiectasis, FDMRI VDP (5 ± 3%) and (3)He MRI VDP (18 ± 9%) were significantly different (P < .001) and not correlated (P > .05). The Dice similarity coefficient (DSC) for FDMRI and (3)He MRI ventilation was 86 ± 7% for COPD and 86 ± 4% for bronchiectasis subjects (P > .05); the DSC for FDMRI ventilation defects and CT RA950 was 19 ± 20% in COPD and 2 ± 3% in bronchiectasis subjects (P < .01). CONCLUSIONS FDMRI and (3)He MRI VDP were strongly related in COPD but not in bronchiectasis subjects. In COPD only, FDMRI ventilation defects were spatially related with (3)He ventilation defects and emphysema.
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Rubin GD. Computed tomography: revolutionizing the practice of medicine for 40 years. Radiology 2015; 273:S45-74. [PMID: 25340438 DOI: 10.1148/radiol.14141356] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Computed tomography (CT) has had a profound effect on the practice of medicine. Both the spectrum of clinical applications and the role that CT has played in enhancing the depth of our understanding of disease have been profound. Although almost 90 000 articles on CT have been published in peer-reviewed journals over the past 40 years, fewer than 5% of these have been published in Radiology. Nevertheless, these almost 4000 articles have provided a basis for many important medical advances. By enabling a deepened understanding of anatomy, physiology, and pathology, CT has facilitated key advances in the detection and management of disease. This article celebrates this breadth of scientific discovery and development by examining the impact that CT has had on the diagnosis, characterization, and management of a sampling of major health challenges, including stroke, vascular diseases, cancer, trauma, acute abdominal pain, and diffuse lung diseases, as related to key technical advances in CT and manifested in Radiology.
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Affiliation(s)
- Geoffrey D Rubin
- From the Duke Clinical Research Institute and Department of Radiology, Duke University School of Medicine, PO Box 17969, 2400 Pratt St, Durham, NC 27715
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Lee KH, Kim KW, Kim EY, Lee JI, Kim YS, Hyun SY, Kim HS, Kim JH. Detection of blebs and bullae in patients with primary spontaneous pneumothorax by multi-detector CT reconstruction using different slice thicknesses. J Med Imaging Radiat Oncol 2014; 58:663-667. [PMID: 25196152 DOI: 10.1111/1754-9485.12229] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Accepted: 07/10/2014] [Indexed: 01/09/2023]
Abstract
INTRODUCTION The aim of this study was to compare the diagnostic performances of multi-detector computed tomography (MDCT) reconstruction at two different slice thicknesses (1 mm, 'high resolution' vs. 5 mm, 'routine') with respect to the detection of blebs and bullae (BBs) in patients with primary spontaneous pneumothorax (PSP). METHODS Thirty-one patients underwent wedge resection of BBs (29 unilateral and 2 bilateral) for PSP from January 2010 to January 2013. Two observers assessed the presence and locations of BBs independently using high-resolution CT (HRCT) and routine CT reconstruction, and compared the sensitivities of each reconstruction method for BB detection using operative findings as a standard reference. In addition, the number of BBs in each CT image set was recorded and inter-observer agreements were evaluated. RESULTS Sensitivity for the detection of BBs was significantly better for HRCT than routine CT (97.0% vs. 63.6% for observer 1 and 94.0% vs. 57.6% for observer 2, respectively, both P-values < 0.001). On a per-bleb and a per-bulla basis, inter-observer agreements regarding BBs by HRCT were good and very good (k = 0.66 and 0.94, respectively) and superior to those determined by routine CT (k = 0.59 and 0.60, respectively). CONCLUSION Different slice thickness reconstructions influence the diagnostic efficacy of MDCT for the detection of BBs in patients with PSP. High-resolution thin slice CT reconstruction was found to have a significantly greater sensitivity than routine thicker slice thickness reconstruction for the detection of BBs.
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Affiliation(s)
- Ki Hyun Lee
- School of Medicine, Gachon University, Incheon, Korea
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Piitulainen E, Montero LC, Nystedt-Düzakin M, Stoel BC, Sveger T, Wollmer P, Tanash HA, Diaz S. Lung Function and CT Densitometry in Subjects with alpha-1-Antitrypsin Deficiency and Healthy Controls at 35 Years of Age. COPD 2014; 12:162-7. [PMID: 25280185 DOI: 10.3109/15412555.2014.922068] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Alpha-1-antitrypsin (AAT) deficiency is a genetic risk factor for pulmonary emphysema. In 1972-74 all 200,000 Swedish new-born infants were screened for AAT deficiency. The aim of the present study was to investigate whether the PiZZ and PiSZ individuals identified by this screening have signs of emphysema and the role of smoking in this, compared with a random sample of control subjects at 35 years of age. The study participants underwent complete pulmonary function tests (PFT) and CT densitometry. The fifteenth percentile density (PD15) and the relative area below -910 HU (RA-910) were analyzed. Fifty-four PiZZ, 21 PiSZ and 66 PiMM control subjects participated in the study. No significant differences were found in lung function between the never-smoking AAT-deficient and control subjects. The 16 PiZZ ever-smokers had significantly lower carbon monoxide transfer coefficient (KCO) than the 20 PiSZ never-smokers (p = 0.014) and the 44 PiMM never-smokers (p = 0.005). After correction for the CT derived lung volume, the PiZZ ever-smokers had significantly lower PD15 (p = 0.046) than the ever-smoking controls. We conclude that 35-year-old PiZZ and PiSZ never-smokers have normal lung function when compared with never-smoking control subjects. The differences in KCO and CT densitometric parameters between the PiZZ ever-smokers and the control subjects may indicate early signs of emphysema.
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Affiliation(s)
- Eeva Piitulainen
- 1Departments of Respiratory Medicine and Allergology, Skåne University Hospital, Lund University , Malmö , Sweden
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Farkhooy A, Janson C, Arnardóttir RH, Emtner M, Hedenström H, Malinovschi A. Impaired Carbon Monoxide Diffusing Capacity is the strongest lung function predictor of decline in 12 minute-walking distance in COPD; a 5-year follow-up study. COPD 2014; 12:240-8. [DOI: 10.3109/15412555.2014.948991] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Balkan A, Bulut Y, Fuhrman CR, Fisher SN, Wilson DO, Weissfeld JL, Sciurba FC. COPD phenotypes in a lung cancer screening population. CLINICAL RESPIRATORY JOURNAL 2014; 10:48-53. [PMID: 24989058 DOI: 10.1111/crj.12180] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 06/02/2014] [Accepted: 06/22/2014] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND AIMS COPD (chronic obstructive pulmonary disease) is a very heterogeneous disease, and phenotypic categorization of a high-risk population has many potential benefits. The present study uses a symptom questionnaire, low-dose computed tomography (LDCT) and pulmonary function tests (PFT) to phenotypically subgroup a high-risk population. METHODS Study group consisted of current or former smokers who underwent lung cancer screening with LDCT as a subgroup of Pittsburgh Lung Screening Study. In addition to LDCT, PFT and a symptom query questionnaire were obtained from each patient. RESULTS The study group consisted of 3183 subjects (age 50-79) subdivided into eight groups according to presence of symptoms, obstruction on PFT and presence of emphysema on LDCT. A total of 501 (15.7%) subjects were asymptomatic, with no airflow obstruction or evidence of emphysema. There were 866 (27.2%) subjects with both obstruction on PFT and emphysema on LDCT, but only 660 (20.7%) had symptoms. Five hundred thirty (16.6%) of the subjects had no emphysema on LDCT but had obstruction on PFT, although only 370 (11.6%) had symptoms. Four hundred seventy-four (14.9%) of subjects had emphysema on LDCT, but no airflow obstruction, with 312 (9.8%) symptomatic. Finally, 812 (25.5%) of subjects had no evidence of airflow obstruction on PFT or emphysema on LDCT, but had symptoms. CONCLUSION Combining LDCT with PFT and a comprehensive questionnaire allows subgroup classification of COPD phenotypes in a high-risk population and may lead to earlier intervention and an improved framework for future studies.
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Affiliation(s)
- Arzu Balkan
- Department of Medical Education, Baskent University Faculty of Medicine, Ankara, Turkey
| | - Yonca Bulut
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Carl R Fuhrman
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Stephen N Fisher
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - David O Wilson
- Department of Pulmonary and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Joel L Weissfeld
- Department of Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Frank C Sciurba
- Department of Pulmonary and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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Abstract
Dyspnea is a subjective and nonspecific symptom, yet very distressing for those who experience it. Acute onset dyspnea and exacerbation of chronic dyspnea from heart or lung disease significantly add to the number of emergency department visits and inpatient admissions. Although dyspnea may appear to be a simple condition to evaluate and manage, it is actually complex in description and quality. As such, dyspnea is the first symptom of many diseases. The onset of dyspnea can be due to a new acute disease, the exacerbation of an existing chronic illness, or a new disease compounding a chronic illness. Finding the cause of dyspnea is generally more difficult than it originally may appear. Therefore, the purpose of this article is to discuss the differential diagnoses associated with dyspnea.
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Affiliation(s)
- Beth Croucher
- Beth Croucher is Nurse Practitioner, Medical Intensive Care, Department of Pulmonary/Critical Care, Ohio State University Wexner Medical Center, 410 W 10th Ave, Columbus, OH 43210
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Dong L, Li J, Jian W, Zhang L, Wu M, Shi H, Luo S. Emphysema early diagnosis using X-ray diffraction enhanced imaging at synchrotron light source. Biomed Eng Online 2014; 13:82. [PMID: 24952622 PMCID: PMC4084497 DOI: 10.1186/1475-925x-13-82] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 06/17/2014] [Indexed: 02/01/2023] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality worldwide, and emphysema is a common component of COPD. Currently, it is very difficult to detect early stage emphysema using conventional radiographic imaging without contrast agents, because the change in X-ray attenuation is not detectable with absorption-based radiography. Compared with the absorption-based CT, phase contrast imaging has more advantages in soft tissue imaging, because of its high spatial resolution and contrast. Methods In this article, we used diffraction enhanced imaging (DEI) method to get the images of early stage emphysematous and healthy samples, then extract X-ray absorption, refraction, and ultra-small-angle X-ray scattering (USAXS) information from DEI images using multiple image radiography (MIR). We combined the absorption image with the USAXS image by a scatter plot. The critical threshold in the scatter plot was calibrated using the linear discriminant function in the pattern recognition. Results USAXS image was sensitive to the change of tissue micro-structure, it could show the lesions which were invisible in the absorption image. Combined with the absorption-based image, the USAXS information enabled better discrimination between healthy and emphysematous lung tissue in a mouse model. The false-color images demonstrated that our method was capable of classifying healthy and emphysematous tissues. Conclusion Here we present USAXS images of early stage emphysematous and healthy samples, where the dependence of the USAXS signal on micro-structures of biomedical samples leads to improved diagnosis of emphysema in lung radiographs.
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Affiliation(s)
| | | | | | | | | | | | - Shuqian Luo
- Department of Biomedical Engineering, Capital Medical University, Beijing 100069, China.
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Stockley RA. Biomarkers in chronic obstructive pulmonary disease: confusing or useful? Int J Chron Obstruct Pulmon Dis 2014; 9:163-77. [PMID: 24532968 PMCID: PMC3923613 DOI: 10.2147/copd.s42362] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The field of biomarker research has almost reached unmanageable proportions in chronic obstructive pulmonary disease (COPD). The developments of new technology platforms have generated a huge information data base, both cross sectionally and increasingly, longitudinally. The knowledge emerging provides an enormous potential for understanding the disease pathophysiology, for developing markers specific for long-term outcomes, and for developing new therapeutic strategies. However, the excitement must be tempered with an understanding of the limitations of the data collection techniques, and of the variations in disease state, activity, impact, and progression. Nevertheless, the most crucial aspect in interpreting the current literature is the recognition of the relatively superficial characterization of what is a complex group of pathological processes with a common end point of airflow limitation. The current review explores some of these issues together with those areas where real progress appears to have been made, and provides caution on interpretation.
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Affiliation(s)
- Robert A Stockley
- Queen Elizabeth Hospital Birmingham, Lung Function and Sleep Department, Birmingham, UK
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Nair A, Hansell DM. High-Resolution Computed Tomography Features of Smoking-Related Interstitial Lung Disease. Semin Ultrasound CT MR 2014; 35:59-71. [DOI: 10.1053/j.sult.2013.10.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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González-García M, Maldonado Gomez D, Torres-Duque CA, Barrero M, Jaramillo Villegas C, Pérez JM, Varon H. Tomographic and functional findings in severe COPD: comparison between the wood smoke-related and smoking-related disease. J Bras Pneumol 2013; 39:147-54. [PMID: 23670499 PMCID: PMC4075823 DOI: 10.1590/s1806-37132013000200005] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2012] [Accepted: 12/18/2012] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE Wood smoke exposure is a risk factor for COPD. For a given degree of airway obstruction, the reduction in DLCO is smaller in individuals with wood smoke-related COPD than in those with smoking-related COPD, suggesting that there is less emphysema in the former. The objective of this study was to compare HRCT findings between women with wood smoke-related COPD and women with smoking-related COPD. METHODS Twenty-two women with severe COPD (FEV₁/FVC ratio < 70% and FEV₁ < 50%) were divided into two groups: those with wood smoke-related COPD (n = 12) and those with smoking-related COPD (n = 10). The two groups were compared regarding emphysema scores and airway involvement (as determined by HRCT); and functional abnormalities-spirometry results, DLCO, alveolar volume (VA), the DLCO/VA ratio, lung volumes, and specific airway resistance (sRaw). RESULTS There were no significant differences between the two groups in terms of FEV₁, sRaw, or lung hyperinflation. Decreases in DLCO and in the DLCO/VA ratio were greater in the smoking-related COPD group subjects, who also had higher emphysema scores, in comparison with the wood smoke-related COPD group subjects. In the wood smoke-related COPD group, HRCT scans showed no significant emphysema, the main findings being peribronchial thickening, bronchial dilation, and subsegmental atelectasis. CONCLUSIONS Female patients with severe wood smoke-related COPD do not appear to develop emphysema, although they do show severe airway involvement. The reduction in DLCO and VA, with a normal DLCO/VA ratio, is probably due to severe bronchial obstruction and incomplete mixing of inspired gas during the determination of single-breath DLCO.
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Yasunaga K, Chérot-Kornobis N, Edmé JL, Sobaszek A, Boulenguez C, Duhamel A, Faivre JB, Remy J, Remy-Jardin M. Emphysema in asymptomatic smokers: Quantitative CT evaluation in correlation with pulmonary function tests. Diagn Interv Imaging 2013; 94:609-17. [DOI: 10.1016/j.diii.2013.02.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Post-processing applications in thoracic computed tomography. Clin Radiol 2013; 68:433-48. [DOI: 10.1016/j.crad.2012.05.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2012] [Revised: 05/16/2012] [Accepted: 05/17/2012] [Indexed: 12/14/2022]
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Henke MO, Vogelmeier CF. [Heart and lungs : cardinal symptom dyspnea]. Herz 2013; 38:279-90. [PMID: 23615840 DOI: 10.1007/s00059-013-3800-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Dyspnea is one of the major clinical symptoms which patients report to general practitioners, internists, cardiologists and hospitals. In this review article we discuss the evidence of medical history, laboratory procedures and diagnostic investigations to approach patients with acute or chronic dyspnea and try to structure this complex symptom dyspnea to reach the etiology of the underlying disease.
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Affiliation(s)
- M O Henke
- Klinik für Innere Medizin mit Schwerpunkt Pneumologie, Universitätsklinikum Marburg, UKGM Marburg, Baldingerstr. 1, 35043, Marburg, Deutschland.
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Kirby M, Owrangi A, Svenningsen S, Wheatley A, Coxson HO, Paterson NAM, McCormack DG, Parraga G. On the role of abnormal DLCOin ex-smokers without airflow limitation: symptoms, exercise capacity and hyperpolarised helium-3 MRI. Thorax 2013; 68:752-9. [DOI: 10.1136/thoraxjnl-2012-203108] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Farkhooy A, Janson C, Arnardóttir RH, Malinovschi A, Emtner M, Hedenström H. Impaired Carbon Monoxide Diffusing Capacity is the Strongest Predictor of Exercise Intolerance in COPD. COPD 2013; 10:180-5. [DOI: 10.3109/15412555.2012.734873] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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42
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Ouriadov A, Farag A, Kirby M, McCormack DG, Parraga G, Santyr GE. Lung morphometry using hyperpolarized 129
Xe apparent diffusion coefficient anisotropy in chronic obstructive pulmonary disease. Magn Reson Med 2013; 70:1699-706. [DOI: 10.1002/mrm.24595] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2012] [Revised: 11/19/2012] [Accepted: 11/20/2012] [Indexed: 12/27/2022]
Affiliation(s)
- Alexei Ouriadov
- Ph.D., Imaging Research Laboratories; Robarts Research Institute; Western University, London Ontario Canada
| | - Adam Farag
- Ph.D., Imaging Research Laboratories; Robarts Research Institute; Western University, London Ontario Canada
| | - Miranda Kirby
- Ph.D., Imaging Research Laboratories; Robarts Research Institute; Western University, London Ontario Canada
- Department of Medical Biophysics; Western University; London Ontario Canada
| | | | - Grace Parraga
- Ph.D., Imaging Research Laboratories; Robarts Research Institute; Western University, London Ontario Canada
- Department of Medical Biophysics; Western University; London Ontario Canada
- Department of Medical Imaging; Western University; London Ontario Canada
| | - Giles E. Santyr
- Ph.D., Imaging Research Laboratories; Robarts Research Institute; Western University, London Ontario Canada
- Department of Medical Biophysics; Western University; London Ontario Canada
- Department of Medical Imaging; Western University; London Ontario Canada
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Kim SS, Seo JB, Lee HY, Nevrekar DV, Forssen AV, Crapo JD, Schroeder JD, Lynch DA. Chronic obstructive pulmonary disease: lobe-based visual assessment of volumetric CT by Using standard images--comparison with quantitative CT and pulmonary function test in the COPDGene study. Radiology 2012; 266:626-35. [PMID: 23220894 DOI: 10.1148/radiol.12120385] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To provide a new detailed visual assessment scheme of computed tomography (CT) for chronic obstructive pulmonary disease (COPD) by using standard reference images and to compare this visual assessment method with quantitative CT and several physiologic parameters. MATERIALS AND METHODS This research was approved by the institutional review board of each institution. CT images of 200 participants in the COPDGene study were evaluated. Four thoracic radiologists performed independent, lobar analysis of volumetric CT images for type (centrilobular, panlobular, and mixed) and extent (on a six-point scale) of emphysema, the presence of bronchiectasis, airway wall thickening, and tracheal abnormalities. Standard images for each finding, generated by two radiologists, were used for reference. The extent of emphysema, airway wall thickening, and luminal area were quantified at the lobar level by using commercial software. Spearman rank test and simple and multiple regression analyses were performed to compare the results of visual assessment with physiologic and quantitative parameters. RESULTS The type of emphysema, determined by four readers, showed good agreement (κ = 0.63). The extent of the emphysema in each lobe showed good agreement (mean weighted κ = 0.70) and correlated with findings at quantitative CT (r = 0.75), forced expiratory volume in 1 second (FEV(1)) (r = -0.68), FEV(1)/forced vital capacity (FVC) ratio (r = -0.74) (P < .001). Agreement for airway wall thickening was fair (mean κ = 0.41), and the number of lobes with thickened bronchial walls correlated with FEV(1) (r = -0.60) and FEV(1)/FVC ratio (r = -0.60) (P < .001). CONCLUSION Visual assessment of emphysema and airways disease in individuals with COPD can provide reproducible, physiologically substantial information that may complement that provided by quantitative CT assessment.
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Affiliation(s)
- Song Soo Kim
- Department of Radiology, Division of Biostatistics and Bioinformatics, and Department of Internal Medicine, National Jewish Health, University of Colorado Denver School of Medicine, Denver, Colorado, USA
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Documento de consenso sobre enfermedad pulmonar obstructiva crónica en Andalucía-2010. Semergen 2011. [DOI: 10.1016/j.semerg.2011.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Role of the chest radiography, spirometry, and high resolution computed tomography in the early diagnosis of the emphysema. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2010. [DOI: 10.1016/j.ejrnm.2010.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Stockley RA, Parr DG, Piitulainen E, Stolk J, Stoel BC, Dirksen A. Therapeutic efficacy of α-1 antitrypsin augmentation therapy on the loss of lung tissue: an integrated analysis of 2 randomised clinical trials using computed tomography densitometry. Respir Res 2010; 11:136. [PMID: 20920370 PMCID: PMC2964614 DOI: 10.1186/1465-9921-11-136] [Citation(s) in RCA: 127] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2010] [Accepted: 10/05/2010] [Indexed: 01/22/2023] Open
Abstract
Background Two randomised, double-blind, placebo-controlled trials have investigated the efficacy of IV alpha-1 antitrypsin (AAT) augmentation therapy on emphysema progression using CT densitometry. Methods Data from these similar trials, a 2-center Danish-Dutch study (n = 54) and the 3-center EXAcerbations and CT scan as Lung Endpoints (EXACTLE) study (n = 65), were pooled to increase the statistical power. The change in 15th percentile of lung density (PD15) measured by CT scan was obtained from both trials. All subjects had 1 CT scan at baseline and at least 1 CT scan after treatment. Densitometric data from 119 patients (AAT [Alfalastin® or Prolastin®], n = 60; placebo, n = 59) were analysed by a statistical/endpoint analysis method. To adjust for lung volume, volume correction was made by including the change in log-transformed total lung volume as a covariate in the statistical model. Results Mean follow-up was approximately 2.5 years. The mean change in lung density from baseline to last CT scan was -4.082 g/L for AAT and -6.379 g/L for placebo with a treatment difference of 2.297 (95% CI, 0.669 to 3.926; p = 0.006). The corresponding annual declines were -1.73 and -2.74 g/L/yr, respectively. Conclusions The overall results of the combined analysis of 2 separate trials of comparable design, and the only 2 controlled clinical trials completed to date, has confirmed that IV AAT augmentation therapy significantly reduces the decline in lung density and may therefore reduce the future risk of mortality in patients with AAT deficiency-related emphysema. Trial registration The EXACTLE study was registered in ClinicalTrials.gov as 'Antitrypsin (AAT) to Treat Emphysema in AAT-Deficient Patients'; ClinicalTrials.gov Identifier: NCT00263887.
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Affiliation(s)
- Robert A Stockley
- Lung Investigation Unit, University Hospitals of Birmingham, Edgbaston, Birmingham B15 2TH, UK.
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Bernspång E, Diaz S, Stoel B, Wollmer P, Sveger T, Piitulainen E. CT lung densitometry in young adults with alpha-1-antitrypsin deficiency. Respir Med 2010; 105:74-9. [PMID: 20674322 DOI: 10.1016/j.rmed.2010.06.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2010] [Revised: 06/13/2010] [Accepted: 06/24/2010] [Indexed: 11/16/2022]
Abstract
BACKGROUND Severe (PiZZ) and moderate (PiSZ) alpha-1-antitrypsin (AAT) deficiency predispose to lung emphysema, especially in smokers. We hypothesized that multi-slice computed tomography (CT) might be superior to pulmonary function tests (PFT) to detect lung emphysema in AAT-deficient individuals at the age of 32 years. METHODS A subgroup of PiZZ and PiSZ individuals identified during the Swedish newborn screening programme in 1972-74 underwent multi-slice CT and PFT at the age of 32 years. From the CT scans the percentile density at 15% (PD(15)) and the relative area below -910 Hounsfield Units (RA(-910) HU) were calculated. The results of PFT and CT were compared between the AAT-deficient individuals and an age-matched control group. RESULTS Twenty-five PiZZ, 11 PiSZ and 17 PiMM individuals participated in the study. All Pi subgroups had normal lung function. The mean PD(15) was 81 (SD 22) g/L in the PiZZ individuals, 96 (SD 35) g/L in the PiSZ individuals and 79 (SD 17) g/L in the PiMM individuals (ns), and the RA-910 were 30 (SD 18)%, 24 (SD 20)%, and 32 (SD 18)%, respectively (ns). For the never-smoker subgroups, in the PiZZ (n = 23), PiSZ (n = 8) and PiMM (n = 12), the mean PD(15) were 95 (SD 35) g/L, 81 (SD 22) g/L, and 75 (SD 12) g/L, respectively (ns). PD(15) was significantly correlated to CT derived lung size (r = -0.72; p < 0.001). CONCLUSIONS CT densitometry revealed no signs of emphysema and no differences between the AAT-deficient individuals identified by neonatal screening and age-matched control subjects.
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Lee SA, Sun JS, Park JH, Park KJ, Lee SS, Choi H, Sheen SS, Chung WY, Lee KS, Park KJ, Hwang SC. Emphysema as a risk factor for the outcome of surgical resection of lung cancer. J Korean Med Sci 2010; 25:1146-51. [PMID: 20676324 PMCID: PMC2908782 DOI: 10.3346/jkms.2010.25.8.1146] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2009] [Accepted: 01/19/2010] [Indexed: 12/28/2022] Open
Abstract
It is unclear whether emphysema, regardless of airflow limitation, is a predictive factor associated with survival after lung cancer resection. Therefore, we investigated whether emphysema was a risk factor associated with the outcome after resection for lung cancer. This study enrolled 237 patients with non small cell lung cancer with stage I or II who had surgical removal. Patient outcome was analyzed based on emphysema. Emphysema was found in 43.4% of all patients. Patients with emphysema were predominantly men and smokers, and had a lower body mass index than the patients without emphysema. The patients without emphysema (n=133) survived longer (mean 51.2+/-3.0 vs. 40.6+/-3.1 months, P=0.042) than those with emphysema (n=104). The univariate analysis showed a younger age, higher FEV(1)/FVC, higher body mass index, cancer stage I, and a lower emphysema score were significant predictors of better survival. The multivariate analysis revealed a younger age, higher body mass index, and cancer stage I were independent parameters associated with better survival, however, emphysema was not. This study suggests that unfavorable outcomes after surgical resection of lung cancer should not be attributed to emphysema itself.
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Affiliation(s)
- Sung Ah Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Joo Sung Sun
- Department of Radiology, Ajou University School of Medicine, Suwon, Korea
| | - Joo Hun Park
- Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea
| | - Kyung Joo Park
- Department of Radiology, Ajou University School of Medicine, Suwon, Korea
| | - Sung Soo Lee
- Department of Thoracic and Cardiovascular Surgery, Ajou University School of Medicine, Suwon, Korea
| | - Ho Choi
- Department of Thoracic and Cardiovascular Surgery, Ajou University School of Medicine, Suwon, Korea
| | - Seung Soo Sheen
- Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea
| | - Woo Young Chung
- Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea
| | - Keu Sung Lee
- Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea
| | - Kwang Joo Park
- Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea
| | - Sung Chul Hwang
- Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon, Korea
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Shaker SB, Stavngaard T, Hestad M, Bach KS, Tonnesen P, Dirksen A. The extent of emphysema in patients with COPD. CLINICAL RESPIRATORY JOURNAL 2010; 3:15-21. [PMID: 20298367 DOI: 10.1111/j.1752-699x.2008.00102.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS The global initiative for COPD (GOLD) adopted the degree of airway obstruction as a measure of the severity of the disease. The objective of this study was to apply CT to assess the extent of emphysema in patients with chronic obstructive pulmonary disease (COPD) and relate this extent to the GOLD stage of airway obstruction. MATERIALS AND METHODS We included 209 patients with COPD. COPD was defined as FEV(1)/FVC < 0.70 and no reversibility to beta(2)-agonists. All patients were current smokers with a smoking history of >or=20 pack-years. Patients were assessed by lung function measurement and visual and quantitative assessment of CT, from which the relative area of emphysema below -910 Hounsfield units (RA-910) was extracted. RESULTS Mean RA-910 was 7.4% (n = 5) in patients with GOLD stage I, 17.0% (n = 119) in stage II, 24.2% (n = 79) in stage III and 33.9% (n = 6) in stage IV. Regression analysis showed a change in RA-910 of 7.8% with increasing severity according to GOLD stage (P < 0.001). Combined visual and quantitative assessment of CT showed that 184 patients had radiological evidence of emphysema, whereas 25 patients had no emphysema. CONCLUSION The extent of emphysema increases with increasing severity of COPD and most patients with COPD have emphysema. Tissue destruction by emphysema is therefore an important determinant of disease severity in COPD.
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Affiliation(s)
- Saher Burhan Shaker
- Department of Cardiology and Respiratory Medicine, Hvidovre Hospital, Copenhagen, Denmark.
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Slope of emphysema index: an objective descriptor of regional heterogeneity of emphysema and an independent determinant of pulmonary function. AJR Am J Roentgenol 2010; 194:W248-55. [PMID: 20173123 DOI: 10.2214/ajr.09.2672] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this study was to compare quantitative and visual assessments of regional heterogeneity of emphysema and to investigate the influence of regional heterogeneity on pulmonary function in smoking-related emphysema. MATERIALS AND METHODS We developed an automatic computerized algorithm to quantitatively assess heterogeneity in the upper-lower, anterior-posterior, and central-peripheral directions. The emphysema index was plotted with a linear function (emphysema index slopes: slope of emphysema index in upper-lower direction, slope of emphysema index in anterior-posterior direction, and slope of emphysema index in central-peripheral direction) for consecutive 1-pixel-thick slices using volumetric CT data of 59 patients (58 men and one woman; mean age, 65.7 years). Emphysema index was defined as the percentage area of lung with attenuation values below -950 HU. Visual assessment was performed using a 5-point scoring system. Quantitative and visual assessments were compared. Multiple linear regression was performed to evaluate the influence of emphysema index and emphysema index slopes on the pulmonary function test. RESULTS Quantitative and visual assessments were significantly correlated in both upper-lower (r(2) = 0.40 and r(2) = 0.67 for observers 1 and 2, respectively) and central-peripheral (r(2) = 0.51 and r(2) = 0.47, respectively) directions. Multiple linear regression revealed that emphysema index, slope of emphysema index in upper-lower direction, and slope of emphysema index in anterior-posterior direction were independent determinants of forced expiratory volume in 1 second (FEV(1)) (r(2) = 0.30; p < 0.001). Emphysema index and slope of emphysema index in upper-lower direction were independent determinants of the ratio of FEV(1) to forced vital capacity (FEV(1)/FVC) (r(2) = 0.32; p < 0.001). In addition to higher emphysema index, lower and posterior lung dominance was associated with a decrease in FEV(1) and FEV(1)/FVC. CONCLUSION Computerized, quantitative assessment using the emphysema index slope is comparable to visual assessment in the evaluation of regional heterogeneity of emphysema. In addition to the emphysema index, regional heterogeneity of smoking-related emphysema contributes to impairment of pulmonary function.
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