1
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Baddour NA, Paulin LM, Gassett AJ, Woo H, Hoffman EA, Newell JD, Woodruff PG, Pirozzi CS, Barjaktarevic I, Barr RG, O'Neal W, Han MK, Martinez FJ, Peters SP, Hastie AT, Hansel NN, Ortega VE, Kaufman JD, Sack CS. Air Pollution Exposure and Interstitial Lung Features in SPIROMICS Participants with Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc 2024; 21:1251-1260. [PMID: 38568439 DOI: 10.1513/annalsats.202308-741oc] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 04/02/2024] [Indexed: 08/31/2024] Open
Abstract
Rationale: It is unknown whether air pollution is associated with radiographic features of interstitial lung disease in individuals with chronic obstructive pulmonary disease (COPD). Objectives: To determine whether air pollution increases the prevalence of interstitial lung abnormalities (ILA) or percent high-attenuation areas (HAA) on computed tomography (CT) in individuals with a heavy smoking history and COPD. Methods: We performed a cross-sectional study of SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), focused on current or former smokers with COPD. Ten-year exposure to particulate matter ⩽2.5 μm in aerodynamic diameter (PM2.5), nitrogen oxides (NOx), nitrogen dioxide (NO2), and ozone before enrollment CT (completed between 2010 and 2015) were estimated with validated spatiotemporal models at residential addresses. We applied adjusted multivariable modified Poisson regression and linear regression to investigate associations between pollution exposure and relative risk (RR) of ILA or increased percent HAA (between -600 and -250 Hounsfield units), respectively. We assessed for effect modification by MUC5B-promoter polymorphism (variant allele carriers GT or TT vs. GG at rs3705950), smoking status, sex, and percent emphysema. Results: Among 1,272 participants with COPD assessed for HAA, 424 were current smokers, and 249 were carriers of the variant MUC5B allele. A total of 519 participants were assessed for ILA. We found no association between pollution exposure and ILA or HAA. Associations between pollutant exposures and risk of ILA were modified by the presence of MUC5B polymorphism (P value interaction term for NOx = 0.04 and PM2.5 = 0.05) and smoking status (P value interaction term for NOx = 0.05; NO2 = 0.01; and ozone = 0.05). With higher exposure to NOx and PM2.5, MUC5B variant carriers had an increased risk of ILA (RR per 26 ppb NOx, 2.41; 95% confidence interval [CI], 0.97-6.0; and RR per 4 μg ⋅ m-3 PM2.5, 1.43; 95% CI, 0.93-2.2, respectively). With higher exposure to NO2, former smokers had an increased risk of ILA (RR per 10 ppb, 1.64; 95% CI, 1.0-2.7). Conclusions: Exposure to ambient air pollution was not associated with interstitial features on CT in this population of heavy smokers with COPD. MUC5B modified the association between pollution and ILA, suggesting that gene-environment interactions may influence prevalence of interstitial lung features in COPD.
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Affiliation(s)
| | - Laura M Paulin
- Department of Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Amanda J Gassett
- Department of Environmental and Occupational Health Sciences, and
| | - Han Woo
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Eric A Hoffman
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | - John D Newell
- Department of Radiology, University of Washington, Seattle, Washington
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | - Prescott G Woodruff
- Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California
| | - Cheryl S Pirozzi
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Igor Barjaktarevic
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York
| | - Wanda O'Neal
- Marsico Lung Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Meilan K Han
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Fernando J Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | - Stephen P Peters
- Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina; and
| | - Annette T Hastie
- Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina; and
| | - Nadia N Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Victor E Ortega
- Division of Respiratory Diseases, Department of Internal Medicine, Mayo Clinic, Scottsdale, Arizona
| | - Joel D Kaufman
- Department of Medicine
- Department of Environmental and Occupational Health Sciences, and
| | - Coralynn S Sack
- Department of Medicine
- Department of Environmental and Occupational Health Sciences, and
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2
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Kamiya M, Carter H, Espindola MS, Doyle TJ, Lee JS, Merriam LT, Zhang F, Kawano-Dourado L, Sparks JA, Hogaboam CM, Moore BB, Oldham WM, Kim EY. Immune mechanisms in fibrotic interstitial lung disease. Cell 2024; 187:3506-3530. [PMID: 38996486 PMCID: PMC11246539 DOI: 10.1016/j.cell.2024.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 05/04/2024] [Accepted: 05/08/2024] [Indexed: 07/14/2024]
Abstract
Fibrotic interstitial lung diseases (fILDs) have poor survival rates and lack effective therapies. Despite evidence for immune mechanisms in lung fibrosis, immunotherapies have been unsuccessful for major types of fILD. Here, we review immunological mechanisms in lung fibrosis that have the potential to impact clinical practice. We first examine innate immunity, which is broadly involved across fILD subtypes. We illustrate how innate immunity in fILD involves a complex interplay of multiple cell subpopulations and molecular pathways. We then review the growing evidence for adaptive immunity in lung fibrosis to provoke a re-examination of its role in clinical fILD. We close with future directions to address key knowledge gaps in fILD pathobiology: (1) longitudinal studies emphasizing early-stage clinical disease, (2) immune mechanisms of acute exacerbations, and (3) next-generation immunophenotyping integrating spatial, genetic, and single-cell approaches. Advances in these areas are essential for the future of precision medicine and immunotherapy in fILD.
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Affiliation(s)
- Mari Kamiya
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Hannah Carter
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Milena S Espindola
- Division of Pulmonary and Critical Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Tracy J Doyle
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Joyce S Lee
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Louis T Merriam
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Fan Zhang
- Division of Rheumatology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA; Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Leticia Kawano-Dourado
- Hcor Research Institute, Hcor Hospital, Sao Paulo - SP 04004-030, Brazil; Pulmonary Division, Heart Institute (InCor), University of Sao Paulo, São Paulo - SP 05403-900, Brazil
| | - Jeffrey A Sparks
- Harvard Medical School, Boston, MA 02115, USA; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Cory M Hogaboam
- Division of Pulmonary and Critical Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Bethany B Moore
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - William M Oldham
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
| | - Edy Y Kim
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
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3
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Oh JH, Kim GHJ, Song JW. Interstitial lung abnormality evaluated by an automated quantification system: prevalence and progression rate. Respir Res 2024; 25:78. [PMID: 38321467 PMCID: PMC10848490 DOI: 10.1186/s12931-024-02715-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/29/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Despite the importance of recognizing interstitial lung abnormalities, screening methods using computer-based quantitative analysis are not well developed, and studies on the subject with an Asian population are rare. We aimed to identify the prevalence and progression rate of interstitial lung abnormality evaluated by an automated quantification system in the Korean population. METHODS A total of 2,890 healthy participants in a health screening program (mean age: 49 years, men: 79.5%) with serial chest computed tomography images obtained at least 5 years apart were included. Quantitative lung fibrosis scores were measured on the chest images by an automated quantification system. Interstitial lung abnormalities were defined as a score ≥ 3, and progression as any score increased above baseline. RESULTS Interstitial lung abnormalities were identified in 251 participants (8.6%), who were older and had a higher body mass index. The prevalence increased with age. Quantification of the follow-up images (median interval: 6.5 years) showed that 23.5% (59/251) of participants initially diagnosed with interstitial lung abnormality exhibited progression, and 11% had developed abnormalities (290/2639). Older age, higher body mass index, and higher erythrocyte sedimentation rate were independent risk factors for progression or development. The interstitial lung abnormality group had worse survival on follow-up (5-year mortality: 3.4% vs. 1.5%; P = 0.010). CONCLUSIONS Interstitial lung abnormality could be identified in one-tenth of the participants, and a quarter of them showed progression. Older age, higher body mass index and higher erythrocyte sedimentation rate increased the risk of development or progression of interstitial lung abnormality.
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Affiliation(s)
- Ju Hyun Oh
- Department of Pulmonology and Critical Care Medicine, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Republic of Korea
| | - Grace Hyun J Kim
- Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, USA
| | - Jin Woo Song
- Department of Pulmonology and Critical Care Medicine, Asan Medical Centre, University of Ulsan College of Medicine, 88, Olympic-Ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
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4
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Felder FN, Walsh SL. Exploring computer-based imaging analysis in interstitial lung disease: opportunities and challenges. ERJ Open Res 2023; 9:00145-2023. [PMID: 37404849 PMCID: PMC10316044 DOI: 10.1183/23120541.00145-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/03/2023] [Indexed: 07/06/2023] Open
Abstract
The advent of quantitative computed tomography (QCT) and artificial intelligence (AI) using high-resolution computed tomography data has revolutionised the way interstitial diseases are studied. These quantitative methods provide more accurate and precise results compared to prior semiquantitative methods, which were limited by human error such as interobserver disagreement or low reproducibility. The integration of QCT and AI and the development of digital biomarkers has facilitated not only diagnosis but also prognostication and prediction of disease behaviour, not just in idiopathic pulmonary fibrosis in which they were initially studied, but also in other fibrotic lung diseases. These tools provide reproducible, objective prognostic information which may facilitate clinical decision-making. However, despite the benefits of QCT and AI, there are still obstacles that need to be addressed. Important issues include optimal data management, data sharing and maintenance of data privacy. In addition, the development of explainable AI will be essential to develop trust within the medical community and facilitate implementation in routine clinical practice.
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Affiliation(s)
| | - Simon L.F. Walsh
- National Heart and Lung Institute, Imperial College London, London, UK
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5
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Kim JS, Manichaikul AW, Hoffman EA, Balte P, Anderson MR, Bernstein EJ, Madahar P, Oelsner EC, Kawut SM, Wysoczanski A, Laine AF, Adegunsoye A, Ma JZ, Taub MA, Mathias RA, Rich SS, Rotter JI, Noth I, Garcia CK, Barr RG, Podolanczuk AJ. MUC5B, telomere length and longitudinal quantitative interstitial lung changes: the MESA Lung Study. Thorax 2023; 78:566-573. [PMID: 36690926 PMCID: PMC9899287 DOI: 10.1136/thorax-2021-218139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 07/11/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND The MUC5B promoter variant (rs35705950) and telomere length are linked to pulmonary fibrosis and CT-based qualitative assessments of interstitial abnormalities, but their associations with longitudinal quantitative changes of the lung interstitium among community-dwelling adults are unknown. METHODS We used data from participants in the Multi-Ethnic Study of Atherosclerosis with high-attenuation areas (HAAs, Examinations 1-6 (2000-2018)) and MUC5B genotype (n=4552) and telomere length (n=4488) assessments. HAA was defined as the per cent of imaged lung with attenuation of -600 to -250 Hounsfield units. We used linear mixed-effects models to examine associations of MUC5B risk allele (T) and telomere length with longitudinal changes in HAAs. Joint models were used to examine associations of longitudinal changes in HAAs with death and interstitial lung disease (ILD). RESULTS The MUC5B risk allele (T) was associated with an absolute change in HAAs of 2.60% (95% CI 0.36% to 4.86%) per 10 years overall. This association was stronger among those with a telomere length below an age-adjusted percentile of 5% (p value for interaction=0.008). A 1% increase in HAAs per year was associated with 7% increase in mortality risk (rate ratio (RR)=1.07, 95% CI 1.02 to 1.12) for overall death and 34% increase in ILD (RR=1.34, 95% CI 1.20 to 1.50). Longer baseline telomere length was cross-sectionally associated with less HAAs from baseline scans, but not with longitudinal changes in HAAs. CONCLUSIONS Longitudinal increases in HAAs were associated with the MUC5B risk allele and a higher risk of death and ILD.
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Affiliation(s)
- John S Kim
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Ani W Manichaikul
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Eric A Hoffman
- Department of Radiology, University of Iowa, Iowa City, Iowa, USA
| | - Pallavi Balte
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Michaela R Anderson
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Elana J Bernstein
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Purnema Madahar
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Steven M Kawut
- Department of Medicine, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics and Epidemiology, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Artur Wysoczanski
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Andrew F Laine
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | | | - Jennie Z Ma
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Rasika A Mathias
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Stephen S Rich
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Jerome I Rotter
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Imre Noth
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Christine Kim Garcia
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Anna J Podolanczuk
- Division of Pulmonary and Critical Care, Weill Cornell Medical College, New York, New York, USA
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6
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Kim JS, Azarbarzin A, Podolanczuk AJ, Anderson MR, Cade BE, Kawut SM, Wysoczanski A, Laine AF, Hoffman EA, Gottlieb DJ, Garcia CK, Barr RG, Redline S. Obstructive Sleep Apnea and Longitudinal Changes in Interstitial Lung Imaging and Lung Function: The MESA Study. Ann Am Thorac Soc 2023; 20:728-737. [PMID: 36790913 PMCID: PMC10174121 DOI: 10.1513/annalsats.202208-719oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 02/15/2023] [Indexed: 02/16/2023] Open
Abstract
Rationale: Obstructive sleep apnea (OSA) has been hypothesized to be a risk factor in interstitial lung disease (ILD) and is associated with radiological markers that may represent the earlier stages of ILD. Prior studies have been limited by their cross-sectional design and potential confounding by body habitus. Objectives: To test the hypothesis that OSA severity is associated with more high-attenuation areas (HAAs) on computed tomography and worse lung function over time among older community-dwelling adults. Methods: We used data from participants in the MESA (Multi-Ethnic Study of Atherosclerosis) who had apnea-hypopnea index (AHI) measured from polysomnography (2010-2013), high attenuation areas (HAAs, -600 to -250 Hounsfield units, n = 784), assessments from exams 5 (2010-2012) and 6 (2016-2018) full-lung computed tomography scans, and spirometry assessments (n = 677). Linear mixed-effects models with random intercept were used to examine associations of OSA severity (i.e., AHI and hypoxic burden) with changes in HAAs, total lung volumes, and forced vital capacity (FVC) between exams 5 and 6. Potential confounders were adjusted for in the model, including age, sex, smoking history, height, and weight. Results: Among those with a higher AHI there were more men and a higher body mass index. Participants with AHI ⩾ 15 events/h and in the highest hypoxic burden quartile each had increases in HAAs of 11.30% (95% confidence interval [CI], 3.74-19.35%) and 9.85% (95% CI, 1.40-19.01%) per 10 years, respectively. There was a more rapid decline in total lung volumes imaged and FVC among those with AHI ⩾ 15 events/h of 220.2 ml (95% CI, 47.8-392.5 ml) and 3.63% (95% CI, 0.43-6.83%) per 10 years, respectively. Conclusions: A greater burden of hypoxia related to obstructive events during sleep was associated with increased lung densities over time and a more rapid decline in lung volumes regardless of body habitus. Our findings suggest OSA may be a contributing factor in the early stages of ILD.
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Affiliation(s)
- John S. Kim
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Ali Azarbarzin
- Division of Sleep and Circadian Sleep Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Anna J. Podolanczuk
- Division of Pulmonary and Critical Care Medicine, Weill Cornell Medical Center, New York, New York
| | | | - Brian E. Cade
- Division of Sleep and Circadian Sleep Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Steven M. Kawut
- Department of Medicine, Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Artur Wysoczanski
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Andrew F. Laine
- Department of Biomedical Engineering, Columbia University, New York, New York
| | - Eric A. Hoffman
- Department of Radiology
- Department of Medicine, and
- Department of Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Daniel J. Gottlieb
- Veterans Affairs Boston Healthcare System, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Christine Kim Garcia
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - R. Graham Barr
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York
- Department of Epidemiology, Mailman School of Public Health, New York, New York; and
| | - Susan Redline
- Division of Sleep and Circadian Sleep Disorders, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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7
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de la Hoz RE, Johannson KA. World Trade Center Health Program best practices for the diagnosis and treatment of fibrosing interstitial lung diseases. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2023; 78:232-235. [PMID: 36632789 PMCID: PMC10353882 DOI: 10.1080/19338244.2023.2166007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Interstitial lung diseases (ILDs) are a diverse set of related conditions with multiple etiologies, in addition to a group where the cause is unknown. There is concern for a potential association of WTC-related exposures with ILD, but the disease range has not differed from what is observed in the general population, and active investigations to study that association are ongoing. Although these diseases are very diverse, some are extremely rare, and they often are disabling and have a poor prognosis, evidence-based guidelines for their diagnosis, management and long-term monitoring have emerged and will evolve as knowledge and therapeutic options increase. This brief article summarizes pertinent issues of diagnosis and management of ILDs, applicable to the diverse group of ILDs that have been observed in the WTC Health Program covered population.
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Affiliation(s)
- Rafael E. de la Hoz
- Division of Occupational and Environmental Medicine, Icahn School of Medicine at Mount Sinai, NewYork, NY, USA
| | - Kerri A. Johannson
- Departments of Medicine and Community Health Sciences, University of Calgary, Calgary, AB, Canada
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8
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Kim JS, Kim J, Yin X, Hiura GT, Anderson MR, Hoffman EA, Raghu G, Noth I, Manichaikul A, Rich SS, Smith BM, Podolanczuk AJ, Garcia CK, Barr RG, Prince MR, Oelsner EC. Associations of hiatus hernia with CT-based interstitial lung changes: the MESA Lung Study. Eur Respir J 2023; 61:2103173. [PMID: 35777776 PMCID: PMC10203882 DOI: 10.1183/13993003.03173-2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 06/02/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Hiatus hernia (HH) is prevalent in adults with pulmonary fibrosis. We hypothesised that HH would be associated with markers of lung inflammation and fibrosis among community-dwelling adults and stronger among MUC5B (rs35705950) risk allele carriers. METHODS In the Multi-Ethnic Study of Atherosclerosis, HH was assessed from cardiac and full-lung computed tomography (CT) scans performed at Exam 1 (2000-2002, n=3342) and Exam 5 (2010-2012, n=3091), respectively. Percentage of high attenuation areas (HAAs; percentage of voxels with attenuation between -600 and -250 HU) was measured from cardiac and lung scans. Interstitial lung abnormalities (ILAs) were examined from Exam 5 scans (n=2380). Regression models were used to examine the associations of HH with HAAs, ILAs and serum matrix metalloproteinase-7 (MMP-7), and adjusted for age, sex, race/ethnicity, educational attainment, smoking, height, weight and scanner parameters for HAA analysis. RESULTS HH detected from Exam 5 scans was associated with a mean percentage difference in HAAs of 2.23% (95% CI 0.57-3.93%) and an increase of 0.48% (95% CI 0.07-0.89%) per year, particularly in MUC5B risk allele carriers (p-value for interaction=0.02). HH was associated with ILAs among those <80 years of age (OR for ILAs 1.78, 95% CI 1.14-2.80) and higher serum MMP-7 level among smokers (p-value for smoking interaction=0.04). CONCLUSIONS HH was associated with more HAAs over time, particularly among MUC5B risk allele carriers, and ILAs in younger adults, and may be a risk factor in the early stages of interstitial lung disease.
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Affiliation(s)
- John S Kim
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Jinhye Kim
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
- Department of Radiology, Westchester Medical Center, Valhalla, NY, USA
| | - Xiaorui Yin
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Grant T Hiura
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Eric A Hoffman
- Department of Radiology, Carver School of Medicine, University of Iowa, Iowa City, IA, USA
| | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Imre Noth
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Ani Manichaikul
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Stephen S Rich
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Benjamin M Smith
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Medicine, McGill University, Montreal, QC, Canada
| | - Anna J Podolanczuk
- Division of Pulmonary and Critical Care, Weill Cornell Medical College, New York, NY, USA
| | - Christine Kim Garcia
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Martin R Prince
- Department of Radiology, Weill Cornell Medical College, New York, NY, USA
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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9
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Chubachi S, Okamori S, Yamada Y, Yamada M, Yokoyama Y, Niijima Y, Kamata H, Ishii M, Fukunaga K, Jinzaki M. Differences in lung and lobe volumes between supine and upright computed tomography in patients with idiopathic lung fibrosis. Sci Rep 2022; 12:19408. [PMID: 36371537 PMCID: PMC9653373 DOI: 10.1038/s41598-022-24157-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 11/10/2022] [Indexed: 11/13/2022] Open
Abstract
No clinical study has compared lung or lobe volumes on computed tomography (CT) between the supine and standing positions in patients with idiopathic lung fibrosis (IPF). This study aimed to compare lung and lobe volumes between the supine and standing positions and evaluate the correlations between the supine/standing lung volumes on CT and pulmonary function in patients with IPF. Twenty-three patients with IPF underwent a pulmonary function test and both low-dose conventional (supine position) and upright CT (standing position) during inspiration breath-holds. The volumes of the total lungs and lobes were larger in the standing than in the supine position in patients with IPF (all p < 0.05). Spearman's correlation coefficients between total lung volumes on chest CT in supine/standing positions and vital capacity (VC) or forced VC (FVC) were 0.61/0.79 or 0.64/0.80, respectively. CT-based volumes on upright CT were better correlated with VC and FVC than those on supine CT. Lung and lobe volumes in the standing position may be useful biomarkers to assess disease severity or therapeutic effect in patients with IPF.
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Affiliation(s)
- Shotaro Chubachi
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Satoshi Okamori
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Yoshitake Yamada
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Minoru Yamada
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Yoichi Yokoyama
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Yuki Niijima
- grid.412096.80000 0001 0633 2119Office of Radiation Technology, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Hirofumi Kamata
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Makoto Ishii
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Koichi Fukunaga
- grid.26091.3c0000 0004 1936 9959Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
| | - Masahiro Jinzaki
- grid.26091.3c0000 0004 1936 9959Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
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10
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Hoang-Thi TN, Chassagnon G, Tran HD, Le-Dong NN, Dinh-Xuan AT, Revel MP. How Artificial Intelligence in Imaging Can Better Serve Patients with Bronchial and Parenchymal Lung Diseases? J Pers Med 2022; 12:jpm12091429. [PMID: 36143214 PMCID: PMC9505778 DOI: 10.3390/jpm12091429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 11/16/2022] Open
Abstract
With the rapid development of computing today, artificial intelligence has become an essential part of everyday life, with medicine and lung health being no exception. Big data-based scientific research does not mean simply gathering a large amount of data and letting the machines do the work by themselves. Instead, scientists need to identify problems whose solution will have a positive impact on patients’ care. In this review, we will discuss the role of artificial intelligence from both physiological and anatomical standpoints, starting with automatic quantitative assessment of anatomical structures using lung imaging and considering disease detection and prognosis estimation based on machine learning. The evaluation of current strengths and limitations will allow us to have a broader view for future developments.
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Affiliation(s)
- Trieu-Nghi Hoang-Thi
- Department of Diagnostic Imaging, Vinmec Healthcare System, Ho Chi Minh City 70000, Vietnam
| | - Guillaume Chassagnon
- AP-HP. Centre, Cochin Hospital, Department of Radiology, Université de Paris, 75005 Paris, France
| | - Hai-Dang Tran
- Department of Diagnostic Imaging, Vinmec Healthcare System, Ho Chi Minh City 70000, Vietnam
| | - Nhat-Nam Le-Dong
- AP-HP. Centre, Cochin Hospital, Department of Respiratory Physiology, Université de Paris, 75005 Paris, France
| | - Anh Tuan Dinh-Xuan
- AP-HP. Centre, Cochin Hospital, Department of Respiratory Physiology, Université de Paris, 75005 Paris, France
| | - Marie-Pierre Revel
- AP-HP. Centre, Cochin Hospital, Department of Radiology, Université de Paris, 75005 Paris, France
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11
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Alevizos MK, Danoff SK, Pappas DA, Lederer DJ, Johnson C, Hoffman EA, Bernstein EJ, Bathon JM, Giles JT. Assessing predictors of rheumatoid arthritis-associated interstitial lung disease using quantitative lung densitometry. Rheumatology (Oxford) 2022; 61:2792-2804. [PMID: 34747452 PMCID: PMC9608004 DOI: 10.1093/rheumatology/keab828] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/20/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To assess predictors of subclinical RA-associated interstitial lung disease (RA-ILD) using quantitative lung densitometry (qLD). METHODS RA patients underwent multi-detector row CT scanning at baseline and after an average of 39 months. Scans were analysed with qLD for the percentage of lung parenchyma with high attenuation areas (%HAA: the percentage of voxels of -600 to -250 Hounsfield units). Additionally, a pulmonary radiologist calculated an expert radiologist scoring (ERS) for RA-ILD features. Generalized linear models were used to identify indicators of baseline %HAA and predictors of %HAA change. RESULTS Baseline %HAA was assessed in 193 RA patients and 106 had repeat qLD assessment. %HAA was correlated with ERS (Spearman's rho = 0.261; P < 0.001). Significant indicators of high baseline %HAA (>10% of lung parenchyma with high attenuation) included female sex, higher pack-years of smoking, higher BMI and anti-CCP ≥200 units, collectively contributing an area under the receiver operator curve of 0.88 (95% CI 0.81, 0.95). Predictors of %HAA increase, occurring in 49% with repeat qLD, included higher baseline %HAA, presence of mucin 5B (MUC5B) minor allele and absence of HLA-DRB1 shared epitope (area under the receiver operator curve = 0.69; 95% CI 0.58, 0.79). The association of the MUC5B minor allele with %HAA change was higher among men and those with higher cumulative smoking. Within the group with increased %HAA, anti-CCP level was significantly associated with a greater increase in %HAA. CONCLUSIONS %HAA, assessed with qLD, was linked to several known risk factors for RA-ILD and may represent a more quantitative method to identify RA-ILD and track progression than expert radiologist interpretation.
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Affiliation(s)
- Michail K Alevizos
- Division of Rheumatology, Columbia University Irving Medical Center, New York, NY
| | - Sonye K Danoff
- Division of Pulmonary and Critical Care, Johns Hopkins University, Baltimore, MD
| | - Dimitrios A Pappas
- Division of Rheumatology, Columbia University Irving Medical Center, New York, NY
| | - David J Lederer
- Division of Pulmonary and Critical Care, Columbia University Irving Medical Center, New York, NY
| | - Cheilonda Johnson
- Division of Pulmonary, Allergy, and Critical Care, University of Pennsylvania, Philadelphia, PA
| | - Eric A Hoffman
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - Elana J Bernstein
- Division of Rheumatology, Columbia University Irving Medical Center, New York, NY
| | - Joan M Bathon
- Division of Rheumatology, Columbia University Irving Medical Center, New York, NY
| | - Jon T Giles
- Division of Rheumatology, Columbia University Irving Medical Center, New York, NY
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12
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Interstitial lung abnormalities and interstitial lung diseases associated with cigarette smoking in a rural cohort undergoing surgical resection. BMC Pulm Med 2022; 22:172. [PMID: 35488260 PMCID: PMC9055776 DOI: 10.1186/s12890-022-01961-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 04/18/2022] [Indexed: 11/26/2022] Open
Abstract
Background Cigarette smoking is a risk factor for interstitial lung abnormalities (ILAs) and interstitial lung diseases (ILDs). Investigation defining the relationships between ILAs/ILDs and clinical, radiographic, and pathologic findings in smokers have been incomplete. Employing a cohort undergoing surgical resection for lung nodules/masses, we (1) define the prevalence of ILAs/ILDs, (2) delineate their clinical, radiographic and pathologic predictors, and (3) determine their associations with mortality. Methods Patients undergoing resection of lung nodules/masses between 2017 and 2020 at a rural Appalachian, tertiary medical center were retrospectively investigated. Predictors for ILAs/ILDs and mortality were assessed using multivariate logistic regression analysis. Results In the total study cohort of 352 patients, radiographic ILAs and ILDs were observed in 35.2% and 17.6%, respectively. Among ILA patterns, subpleural reticular changes (14.8%), non-emphysematous cysts, centrilobular (CL) ground glass opacities (GGOs) (8% each), and mixed CL-GGO and subpleural reticular changes (7.4%) were common. ILD patterns included combined pulmonary fibrosis emphysema (CPFE) (3.1%), respiratory bronchiolitis (RB)-ILD (3.1%), organizing pneumonitis (2.8%) and unclassifiable (4.8%). The group with radiographic ILAs/ILDs had a significantly higher proportion of ever smokers (49% vs. 39.9%), pack years of smoking (44.57 ± 36.21 vs. 34.96 ± 26.22), clinical comorbidities of COPD (35% vs. 26.5%) and mildly reduced diffusion capacity (% predicated 66.29 ± 20.55 vs. 71.84 ± 23). Radiographic centrilobular and paraseptal emphysema (40% vs. 22.2% and 17.6% vs. 9.6%, respectively) and isolated traction bronchiectasis (10.2% vs. 4.2%) were associated with ILAs/ILDs. Pathological variables of emphysema (34.9% vs. 18.5%), any fibrosis (15.9% vs. 4.6%), peribronchiolar metaplasia (PBM, 8% vs. 1.1%), RB (10.3% vs. 2.5%), and anthracosis (21.6% vs. 14.5%) were associated with ILAs/ILDs. Histologic emphysema showed positive correlations with any fibrosis, RB, anthracosis and ≥ 30 pack year of smoking. The group with ILAs/ILDs had significantly higher mortality (9.1% vs. 2.2%, OR 4.13, [95% CI of 1.84–9.25]). Conclusions In a rural cohort undergoing surgical resection, radiographic subclinical ILAs/ILDs patterns were highly prevalent and associated with ever smoking and intensity of smoking. The presence of radiographic ILA/ILD patterns and isolated honeycomb changes were associated with increased mortality. Subclinical ILAs/ILDs and histologic fibrosis correlated with clinical COPD as well as radiographic and pathologic emphysema emphasizing the co-existence of these pulmonary injuries in a heavily smoking population. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-01961-9.
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13
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Kim JS, Dashti HS, Huang T, Cade BE, Podolanczuk AJ, O’Hearn DJ, Hoffman EA, Wang H, Blaikley J, Barr RG, Redline S. Associations of sleep duration and sleep-wake rhythm with lung parenchymal abnormalities on computed tomography: The MESA study. J Sleep Res 2022; 31:e13475. [PMID: 34498326 PMCID: PMC8891036 DOI: 10.1111/jsr.13475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 07/22/2021] [Accepted: 08/16/2021] [Indexed: 11/29/2022]
Abstract
Impairment of the circadian rhythm promotes lung inflammation and fibrosis in pre-clinical models. We aimed to examine whether short and/or long sleep duration and other markers of sleep-wake patterns are associated with a greater burden of lung parenchymal abnormalities on computed tomography among adults. We cross-sectionally examined associations of sleep duration captured by actigraphy with interstitial lung abnormalities (n = 1111) and high attenuation areas (n = 1416) on computed tomography scan in the Multi-Ethnic Study of Atherosclerosis at Exam 5 (2010-2013). We adjusted for potential confounders in logistic and linear regression models for interstitial lung abnormalities and high attenuation area, respectively. High attenuation area models were also adjusted for study site, lung volume imaged, radiation dose and stratified by body mass index. Secondary exposures were self-reported sleep duration, sleep fragmentation index, sleep midpoint and chronotype. The mean age of those with longer sleep duration (≥ 8 hr) was 70 years and the prevalence of interstitial lung abnormalities was 14%. Increasing actigraphy-based sleep duration among participants with ≥ 8 hr of sleep was associated with a higher adjusted odds of interstitial lung abnormalities (odds ratio of 2.66 per 1-hr increment, 95% confidence interval 1.42-4.99). Longer sleep duration and higher sleep fragmentation index were associated with greater high attenuation area on computed tomography among participants with a body mass index < 25 kg m-2 (p-value for interaction < 0.02). Self-reported sleep duration, later sleep midpoint and evening chronotype were not associated with outcomes. Actigraphy-based longer sleep duration and sleep fragmentation were associated with a greater burden of lung abnormalities on computed tomography scan.
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Affiliation(s)
- John S. Kim
- Department of Medicine, University of Virginia School of
Medicine, Charlottesville, VA, USA
- Department of Medicine, Columbia University Irving Medical
Center, New York, NY, USA
| | - Hassan S. Dashti
- Center for Genomic Medicine and Department of Anesthesia,
Critical Care, and Pain Medicine, Center for Genomic Medicine, Massachusetts General
Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad
Institute, Cambridge, MA, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Brigham and
Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston,
MA, USA
| | - Brian E. Cade
- Program in Medical and Population Genetics, Broad
Institute, Cambridge, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston,
MA, USA
- Division of Sleep and Circadian Disorders, Brigham and
Women’s Hospital, Boston, MA, USA
| | - Anna J. Podolanczuk
- Division of Pulmonary and Critical Care Medicine, Weill
Cornell Medical Center, New York, NY, USA
| | - Daniel J. O’Hearn
- Department of Medicine, University of Virginia School of
Medicine, Charlottesville, VA, USA
| | - Eric A. Hoffman
- Departments of Radiology, Medicine, and Biomedical
Engineering, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Heming Wang
- Program in Medical and Population Genetics, Broad
Institute, Cambridge, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston,
MA, USA
- Division of Sleep and Circadian Disorders, Brigham and
Women’s Hospital, Boston, MA, USA
| | - John Blaikley
- Faculty of Biology, Medicine and Health, The University
of Manchester, Manchester, United Kingdom
- Manchester University National Health Service Foundation
Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - R. Graham Barr
- Department of Medicine, Columbia University Irving Medical
Center, New York, NY, USA
- Department of Epidemiology, Mailman School of Public
Health, New York, NY, USA
| | - Susan Redline
- Channing Division of Network Medicine, Brigham and
Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston,
MA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine,
Beth Israel Deaconess Medical Center, Boston, MA, USA
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14
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Axelsson GT, Gudmundsson G. Interstitial lung abnormalities - current knowledge and future directions. Eur Clin Respir J 2021; 8:1994178. [PMID: 34745461 PMCID: PMC8567914 DOI: 10.1080/20018525.2021.1994178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Efforts to grasp the significance of radiologic changes similar to interstitial lung disease (ILD) in undiagnosed individuals have intensified in the recent decade. The term interstitial lung abnormalities (ILA) is an emerging definition of such changes, defined by visual examination of computed tomography scans. Substantial insights have been made in the origins and clinical consequences of these changes, as well as automated measures of early lung fibrosis, which will likely lead to increased recognition of early fibrotic lung changes among clinicians and researchers alike. Interstitial lung abnormalities have an estimated prevalence of 7–10% in elderly populations. They correlate with many ILD risk factors, both epidemiologic and genetic. Additionally, histopathological similarities with IPF exist in those with ILA. While no established blood biomarker of ILA exists, several have been suggested. Distinct imaging patterns indicating advanced fibrosis correlate with worse clinical outcomes. ILA are also linked with adverse clinical outcomes such as increased mortality and risk of lung cancer. Progression of ILA has been noted in a significant portion of those with ILA and is associated with many of the same features as ILD, including advanced fibrosis. Those with ILA progression are at risk of accelerated FVC decline and increased mortality. Radiologic changes resembling ILD have also been attained by automated measures. Such measures associate with some, but not all the same factors as ILA. ILA and similar radiologic changes are in many ways analogous to ILD and likely represent a precursor of ILD in some cases. While warranting an evaluation for ILD, they are associated with poor clinical outcomes beyond possible ILD development and thus are by themselves a significant finding. Among the present objectives of this field are the stratification of patients with regards to progression and the discovery of biomarkers with predictive value for clinical outcomes.
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Affiliation(s)
- Gisli Thor Axelsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Icelandic Heart Association, Kopavogur, Iceland
| | - Gunnar Gudmundsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Department of Respiratory Medicine and Sleep, Landspitali University Hospital, Reykjavik, Iceland
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15
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Menon AA, Putman RK, Sanders JL, Hino T, Hata A, Nishino M, Ghosh AJ, Ash SY, Rosas IO, Cho MH, Lynch DA, Washko GR, Silverman EK, Hatabu H, Hunninghake GM. Interstitial Lung Abnormalities, Emphysema and Spirometry in Smokers. Chest 2021; 161:999-1010. [PMID: 34742688 DOI: 10.1016/j.chest.2021.10.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/04/2021] [Accepted: 10/22/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Most pulmonary conditions reduce forced vital capacity (FVC), but studies of patients with combined pulmonary fibrosis and emphysema demonstrate that reductions in FVC are less than expected when these two conditions coexist clinically. RESEARCH QUESTION Do interstitial lung abnormalities (ILA), chest computed tomography (CT) imaging findings that may suggest an early stage of pulmonary fibrosis in undiagnosed individuals, affect the association between emphysema and FVC? STUDY DESIGN AND METHODS Measures of ILA and emphysema were available in 9579 and 5277 participants from phases 1 (2007-2011) and 2 (2012-2016) of COPDGene, respectively. ILA were defined by Fleischner Society guidelines. Adjusted linear regression models were used to assess the associations and interactions between ILA, emphysema, measures of spirometry and lung function. RESULTS ILA were present in 528 (6%), and 580 (11%), of participants in phases 1 and 2 of COPDGene, respectively. ILA modified the association between emphysema and FVC (P<0.0001 for interaction) in both phases. In phase 1, in those without ILA, a 5% increase in emphysema was associated with a reduction in FVC (-110 cc, 95% confidence interval [CI] -121, -100; P<0.0001) however, in those with ILA it was not (-11cc, 95% CI -53,31; P=0.59). In contrast, there was no interaction between ILA and emphysema on total lung capacity (TLC) nor on diffusing capacity of carbon monoxide (DLCO). INTERPRETATION The presence of ILA attenuates the reduction in FVC associated with emphysema.
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Affiliation(s)
- Aravind A Menon
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA
| | - Rachel K Putman
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA
| | - Jason L Sanders
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA
| | - Takuya Hino
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Akinori Hata
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Radiology, Osaka University, Osaka, Japan
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Auyon J Ghosh
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Samuel Y Ash
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA
| | - Ivan O Rosas
- Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, TX
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - David A Lynch
- Department of Radiology, National Jewish Health, and University of Colorado at Denver Health Sciences Center, Denver, CO
| | - George R Washko
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Gary M Hunninghake
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston MA.
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16
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Qiu L, Zhang J, Huang Y, Chen G, Chen Z, Ming C, Lu X, Gong N. Long-Term Clinical and Immunological Impact of Severe COVID-19 on a Living Kidney Transplant Recipient - A Case Report. Front Immunol 2021; 12:741765. [PMID: 34567007 PMCID: PMC8456079 DOI: 10.3389/fimmu.2021.741765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 08/24/2021] [Indexed: 12/24/2022] Open
Abstract
The long-term impact of COVID-19 on transplant recipients remains unknown. We describe the case of a 30-year-old male kidney transplant recipient from Wuhan, China that was treated for severe COVID-19 in February 2020. He suffered an acute lung and renal injury and required systemic treatment including adjustment of his immunosuppressant regime. He was followed up to 1-year after discharge. No chronic lung fibrosis or deterioration of his pulmonary function was observed. Despite COVID-19 mediated damage to his renal tubular cells, no transplant rejection occurred. His immunological profile demonstrated both cellular anti-SARS-CoV-2 reactivity and specific humoral immunity, indicating that it is beneficial for the transplanted patients to be immunized with SARS-CoV-2 virus vaccine. This case will help guide clinical decision making for immunocompromised individuals that become infected with SARS-CoV-2.
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Affiliation(s)
- Liru Qiu
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ji Zhang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Institute of Urology, Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China.,Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation of Ministry of Education, National Health Commission and Chinese Academy of Medical Sciences, Wuhan, China
| | - Yafei Huang
- Department of Immunology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gen Chen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhishui Chen
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation of Ministry of Education, National Health Commission and Chinese Academy of Medical Sciences, Wuhan, China
| | - Changsheng Ming
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation of Ministry of Education, National Health Commission and Chinese Academy of Medical Sciences, Wuhan, China
| | - Xia Lu
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation of Ministry of Education, National Health Commission and Chinese Academy of Medical Sciences, Wuhan, China
| | - Nianqiao Gong
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation of Ministry of Education, National Health Commission and Chinese Academy of Medical Sciences, Wuhan, China
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17
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Synn AJ, Li W, Hunninghake GM, Washko GR, San José Estépar R, O'Connor GT, Kholdani CA, Hallowell RW, Bankier AA, Mittleman MA, Rice MB. Vascular Pruning on CT and Interstitial Lung Abnormalities in the Framingham Heart Study. Chest 2021; 159:663-672. [PMID: 32798523 PMCID: PMC7856535 DOI: 10.1016/j.chest.2020.07.082] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 06/17/2020] [Accepted: 07/31/2020] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Pulmonary vascular disease is associated with poor outcomes in individuals affected by interstitial lung disease. The pulmonary vessels can be quantified with noninvasive imaging, but whether radiographic indicators of vasculopathy are associated with early interstitial changes is not known. RESEARCH QUESTION Are pulmonary vascular volumes, quantified from CT scans, associated with interstitial lung abnormalities (ILA) in a community-based sample with a low burden of lung disease? STUDY DESIGN AND METHODS In 2,386 participants of the Framingham Heart Study, we used CT imaging to calculate pulmonary vascular volumes, including the small vessel fraction (a surrogate of vascular pruning). We constructed multivariable logistic regression models to investigate associations of vascular volumes with ILA, progression of ILA, and restrictive pattern on spirometry. In secondary analyses, we additionally adjusted for diffusing capacity and emphysema, and performed a sensitivity analysis restricted to participants with normal FVC and diffusing capacity. RESULTS In adjusted models, we found that lower pulmonary vascular volumes on CT were associated with greater odds of ILA, antecedent ILA progression, and restrictive pattern on spirometry. For example, each SD lower small vessel fraction was associated with 1.81-fold greater odds of ILA (95% CI, 1.41-2.31; P < .0001), and 1.63-fold greater odds of restriction on spirometry (95% CI, 1.18-2.24; P = .003). Similar patterns were seen after adjustment for diffusing capacity for carbon monoxide, emphysema, and among participants with normal lung function. INTERPRETATION In this cohort of community-dwelling adults not selected on the basis of lung disease, more severe vascular pruning on CT was associated with greater odds of ILA, ILA progression, and restrictive pattern on spirometry. Pruning on CT may be an indicator of early pulmonary vasculopathy associated with interstitial lung disease.
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Affiliation(s)
- Andrew J Synn
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
| | - Wenyuan Li
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Gary M Hunninghake
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - George R Washko
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; The NHLBI's Framingham Heart Study, Framingham, MA
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - George T O'Connor
- The NHLBI's Framingham Heart Study, Framingham, MA; Pulmonary Center, Boston University School of Medicine, Boston, MA
| | - Cyrus A Kholdani
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Robert W Hallowell
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Alexander A Bankier
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Murray A Mittleman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Mary B Rice
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
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18
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Kim JS, Steffen BT, Podolanczuk AJ, Kawut SM, Noth I, Raghu G, Michos ED, Hoffman EA, Axelsson GT, Gudmundsson G, Gudnason V, Gudmundsson EF, Murphy RA, Dupuis J, Xu H, Vasan RS, O'Connor GT, Harris WS, Hunninghake GM, Barr RG, Tsai MY, Lederer DJ. Associations of ω-3 Fatty Acids With Interstitial Lung Disease and Lung Imaging Abnormalities Among Adults. Am J Epidemiol 2021; 190:95-108. [PMID: 32803215 DOI: 10.1093/aje/kwaa168] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/31/2020] [Accepted: 08/11/2020] [Indexed: 12/13/2022] Open
Abstract
Docosahexaenoic acid (DHA), an ω-3 polyunsaturated fatty acid, attenuates interstitial lung disease (ILD) in experimental models, but human studies are lacking. We examined associations of circulating levels of DHA and other polyunsaturated fatty acids with hospitalization and death due to ILD over 12 years in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 6,573). We examined cross-sectional associations with CT lung abnormalities in MESA (2000-2012; n = 6,541), the Framingham Heart Study (2005-2011; n = 3,917), and the Age, Gene/Environment Susceptibility-Reykjavik Study (AGES-Reykjavik) (2002-2006; n = 1,106). Polyunsaturated fatty acid levels were determined from fasting blood samples and extracted from plasma phospholipids (MESA and AGES-Reykjavik) or red blood cell membranes (Framingham Heart Study). Higher DHA levels were associated with a lower risk of hospitalization due to ILD (per standard-deviation increment, adjusted rate ratio = 0.69, 95% confidence interval (CI): 0.48, 0.99) and a lower rate of death due to ILD (per standard-deviation increment, adjusted hazard ratio = 0.68, 95% CI: 0.47, 0.98). Higher DHA was associated with fewer interstitial lung abnormalities on computed tomography (per natural log increment, pooled adjusted odds ratio = 0.65, 95% CI: 0.46, 0.91). Higher DHA levels were associated with a lower risk of hospitalization and death due to ILD and fewer lung abnormalities on computed tomography in a meta-analysis of data from population-based cohort studies.
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19
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Liu X, Reeves AP, Antoniak K, San José Estépar R, Doucette JT, Jeon Y, Weber J, Xu D, Celedón JC, de la Hoz RE. Association of quantitative CT lung density measurements and lung function decline in World Trade Center workers. CLINICAL RESPIRATORY JOURNAL 2020; 15:613-621. [PMID: 33244876 PMCID: PMC8149480 DOI: 10.1111/crj.13313] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 07/28/2020] [Accepted: 11/19/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Occupational exposures at the WTC site after 11 September 2001 have been associated with presumably inflammatory chronic lower airway diseases. AIMS In this study, we describe the trajectories of expiratory air flow decline, identify subgroups with adverse progression, and investigate the association of those trajectories with quantitative computed tomography (QCT) imaging measurement of increased and decreased lung density. METHODS We examined the trajectories of expiratory air flow decline in a group of 1,321 former WTC workers and volunteers with at least three periodic spirometries, and using QCT-measured low (LAV%, -950 HU) and high (HAV%, from -600 to -250 HU) attenuation volume percent. We calculated the individual regression line slopes for first-second forced expiratory volume (FEV1 slope), identified subjects with rapidly declining ("accelerated decliners") and increasing ("improved"), and compared them to subjects with "intermediate" (0 to -66.5 mL/year) FEV1 slope. We then used multinomial logistic regression to model those three trajectories, and the two lung attenuation metrics. RESULTS The mean longitudinal FEV1 slopes for the entire study population, and its intermediate, decliner, and improved subgroups were, respectively, -40.4, -34.3, -106.5, and 37.6 mL/year. In unadjusted and adjusted analyses, LAV% and HAV% were both associated with "accelerated decliner" status (ORadj , 95% CI 2.37, 1.41-3.97, and 1.77, 1.08-2.89, respectively), compared to the intermediate decline. CONCLUSIONS Longitudinal FEV1 decline in this cohort, known to be associated with QCT proximal airway inflammation metric, is also associated with QCT indicators of increased and decreased lung density. The improved FEV1 trajectory did not seem to be associated with lung density metrics.
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Affiliation(s)
- Xiaoyu Liu
- Departments of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anthony P Reeves
- School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
| | - Katherine Antoniak
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - John T Doucette
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yunho Jeon
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan Weber
- Department of Research and Education, Saint Francis Hospital, Roslyn, NY, USA
| | - Dongming Xu
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Juan C Celedón
- Division of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rafael E de la Hoz
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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20
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Araki T, Washko GR, Schiebler ML, O'Connor GT, Hatabu H. The Framingham Heart Study: Populational CT-based phenotyping in the lungs and mediastinum. Eur J Radiol Open 2020; 7:100260. [PMID: 32984450 PMCID: PMC7495061 DOI: 10.1016/j.ejro.2020.100260] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 08/24/2020] [Indexed: 01/22/2023] Open
Abstract
The Framingham Heart Study (FHS) is one of the largest and established longitudinal populational cohorts. CT cohorts of the FHS since 2002 provided a unique opportunity to assess non-cardiac thoracic imaging findings. This review deals with image-based phenotyping studies from recent major publications regarding interstitial lung abnormalities (ILAs), pulmonary cysts, emphysema, pulmonary nodules, pleural plaques, normal spectrum of the thymus, and anterior mediastinal masses, concluding with the discussion of future directions of FHS CT cohorts studies in the era of radiomics and artificial intelligence.
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Affiliation(s)
- Tetsuro Araki
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - George R Washko
- Department of Pulmonology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mark L Schiebler
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | - Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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21
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Hatabu H, Hunninghake GM, Richeldi L, Brown KK, Wells AU, Remy-Jardin M, Verschakelen J, Nicholson AG, Beasley MB, Christiani DC, San José Estépar R, Seo JB, Johkoh T, Sverzellati N, Ryerson CJ, Graham Barr R, Goo JM, Austin JHM, Powell CA, Lee KS, Inoue Y, Lynch DA. Interstitial lung abnormalities detected incidentally on CT: a Position Paper from the Fleischner Society. THE LANCET RESPIRATORY MEDICINE 2020; 8:726-737. [PMID: 32649920 DOI: 10.1016/s2213-2600(20)30168-5] [Citation(s) in RCA: 279] [Impact Index Per Article: 69.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 03/20/2020] [Accepted: 03/31/2020] [Indexed: 12/12/2022]
Abstract
The term interstitial lung abnormalities refers to specific CT findings that are potentially compatible with interstitial lung disease in patients without clinical suspicion of the disease. Interstitial lung abnormalities are increasingly recognised as a common feature on CT of the lung in older individuals, occurring in 4-9% of smokers and 2-7% of non-smokers. Identification of interstitial lung abnormalities will increase with implementation of lung cancer screening, along with increased use of CT for other diagnostic purposes. These abnormalities are associated with radiological progression, increased mortality, and the risk of complications from medical interventions, such as chemotherapy and surgery. Management requires distinguishing interstitial lung abnormalities that represent clinically significant interstitial lung disease from those that are subclinical. In particular, it is important to identify the subpleural fibrotic subtype, which is more likely to progress and to be associated with mortality. This multidisciplinary Position Paper by the Fleischner Society addresses important issues regarding interstitial lung abnormalities, including standardisation of the definition and terminology; predisposing risk factors; clinical outcomes; options for initial evaluation, monitoring, and management; the role of quantitative evaluation; and future research needs.
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Affiliation(s)
- Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Gary M Hunninghake
- Department of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Luca Richeldi
- Unitá Operativa Complessa di Pneumologia, Universitá Cattolica del Sacro Cuore, Fondazione Policlinico A Gemelli IRCCS, Rome, Italy
| | - Kevin K Brown
- Department of Medicine, Denver, CO, USA; National Jewish Health, Denver, CO, USA
| | - Athol U Wells
- Department of Respiratory Medicine, Royal Brompton and Hospital NHS Foundation Trust, London, UK; National Heart and Lung Institute, Imperial College London, London, UK
| | - Martine Remy-Jardin
- Department of Thoracic Imaging, Hospital Calmette, University Centre of Lille, Lille, France
| | | | - Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Hospital NHS Foundation Trust, London, UK; National Heart and Lung Institute, Imperial College London, London, UK
| | - Mary B Beasley
- Department of Pathology, Icahn School of Medicine at Mount, New York, NY, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joon Beom Seo
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Takeshi Johkoh
- Department of Radiology, Kansai Rosai Hospital, Hyogo, Japan
| | | | - Christopher J Ryerson
- Department of Medicine, University of British Columbia and Centre for Heart Lung Innovations, St Paul's Hospital, Vancouver, BC, Canada
| | - R Graham Barr
- Department of Medicine and Department of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Jin Mo Goo
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - John H M Austin
- Department of Radiology, Columbia University Medical Center, New York, NY, USA
| | - Charles A Powell
- Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount, New York, NY, USA
| | - Kyung Soo Lee
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yoshikazu Inoue
- Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Osaka, Japan
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22
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Cigarette Smoke Exposure and Radiographic Pulmonary Vascular Morphology in the Framingham Heart Study. Ann Am Thorac Soc 2020; 16:698-706. [PMID: 30714821 DOI: 10.1513/annalsats.201811-795oc] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Rationale: Cigarette smoke exposure is a risk factor for many lung diseases, and histologic studies suggest that tobacco-related vasoconstriction and vessel loss plays a role in the development of emphysema. However, it remains unclear how tobacco affects the pulmonary vasculature in general populations with a typical range of tobacco exposure, and whether these changes are detectable by radiographic methods. Objectives: To determine whether tobacco exposure in a generally healthy population manifests as lower pulmonary blood vessel volumes and vascular pruning on imaging. Methods: A total of 2,410 Framingham Heart Study participants with demographic data and smoking history underwent volumetric whole-lung computed tomography from 2008 to 2011. Automated algorithms calculated the total blood volume of all intrapulmonary vessels (TBV), smaller peripheral vessels (defined as cross-sectional area <5 mm2 [BV5]), and the relative fraction of small vessels (BV5/TBV). Tobacco exposure was assessed as smoking status, cumulative pack-years, and second-hand exposure. We constructed multivariable linear regression models to evaluate associations of cigarette exposure and pulmonary blood vessel volume measures, adjusting for demographic covariates, including age, sex, height, weight, education, occupation, and median neighborhood income. Results: All metrics of tobacco exposure (including smoking status, pack-years, and second-hand exposure) were consistently associated with higher absolute pulmonary blood vessel volume, higher small vessel volume, and/or higher small vessel fraction. For example, ever-smokers had a 4.6 ml higher TBV (95% confidence interval [CI] = 2.9-6.3, P < 0.001), 2.1 ml higher BV5 (95% CI = 1.3-2.9, P < 0.001), and 0.28 percentage-point-higher BV5/TBV (95% CI = 0.03-0.52, P = 0.03) compared with never-smokers. These associations remained significant after adjustment for percent predicted forced expiratory volume in 1 second, cardiovascular comorbidities, and did not differ based on presence or absence of airflow obstruction. Conclusions: Using computed tomographic imaging, we found that cigarette exposure was associated with higher pulmonary blood vessel volumes, especially in the smaller peripheral vessels. Although, histologically, tobacco-related vasculopathy is characterized by vessel narrowing and loss, our results suggest that radiographic vascular pruning may not be a surrogate of these pathologic changes.
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23
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Kim JS, Anderson MR, Podolanczuk AJ, Kawut SM, Allison MA, Raghu G, Hinckley-Stuckovsky K, Hoffman EA, Tracy RP, Barr RG, Lederer DJ, Giles JT. Associations of Serum Adipokines With Subclinical Interstitial Lung Disease Among Community-Dwelling Adults: The Multi-Ethnic Study of Atherosclerosis (MESA). Chest 2019; 157:580-589. [PMID: 31678306 DOI: 10.1016/j.chest.2019.10.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 09/03/2019] [Accepted: 10/06/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Adipokines have inflammatory and fibrotic properties that may be critical in interstitial lung disease (ILD). We examined associations of serum adipokine levels with CT imaging-based measures of subclinical ILD and lung function among community-dwelling adults. METHODS A subset of the original Multi-Ethnic Study of Atherosclerosis cohort (n = 1,968) had adiponectin, leptin, and resistin measured during follow-up visits (2002-2005). We used regression models to examine associations of adiponectin, leptin, and resistin levels with (1) high-attenuation areas (HAAs) from CT scans (2004-2005, n = 1,144), (2) interstitial lung abnormalities (ILAs) from CT scans (2010-2012, n = 872), and (3) FVC from spirometry (2004-2006, n = 1,446). We used -(1/HAA2), which we denoted with H, to model HAA as our outcome to meet model assumptions. RESULTS Higher adiponectin was associated with lower HAA on CT imaging among adults with a BMI ≥ 25 kg/m2 (P for BMI interaction = .07). Leptin was more strongly associated with ILA among never smokers compared with ever smokers (P for smoking interaction = .004). For every 1-SD increment of log-transformed leptin, the percent predicted FVC was 3.8% lower (95% CI, -5.0 to -2.5). Higher serum resistin levels were associated with greater HAA on CT in a fully adjusted model. For every 1-SD increment of log-transformed resistin there was an increase in H of 14.8 (95% CI, 3.4-26.3). CONCLUSIONS Higher adiponectin levels were associated with lower HAA on CT imaging among adults with a higher BMI. Higher leptin and resistin levels were associated with lower FVC and greater HAA, respectively.
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Affiliation(s)
- John S Kim
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA.
| | | | - Anna J Podolanczuk
- Department of Medicine, Columbia University Medical Center, New York, NY
| | - Steven M Kawut
- Department of Medicine and the Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Matthew A Allison
- Department of Family and Preventative Medicine, University of California San Diego, San Diego, CA
| | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, WA
| | | | - Eric A Hoffman
- Departments of Radiology, Medicine, and Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Russell P Tracy
- Departments of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY; Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY
| | - David J Lederer
- Department of Medicine, Columbia University Medical Center, New York, NY; Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY
| | - Jon T Giles
- Department of Medicine, Columbia University Medical Center, New York, NY
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24
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Mathai SK, Humphries S, Kropski JA, Blackwell TS, Powers J, Walts AD, Markin C, Woodward J, Chung JH, Brown KK, Steele MP, Loyd JE, Schwarz MI, Fingerlin T, Yang IV, Lynch DA, Schwartz DA. MUC5B variant is associated with visually and quantitatively detected preclinical pulmonary fibrosis. Thorax 2019; 74:1131-1139. [PMID: 31558622 DOI: 10.1136/thoraxjnl-2018-212430] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 08/20/2019] [Accepted: 08/25/2019] [Indexed: 11/03/2022]
Abstract
BACKGROUND Relatives of patients with familial interstitial pneumonia (FIP) are at increased risk for pulmonary fibrosis. We assessed the prevalence and risk factors for preclinical pulmonary fibrosis (PrePF) in first-degree relatives of patients with FIP and determined the utility of deep learning in detecting PrePF on CT. METHODS First-degree relatives of patients with FIP over 40 years of age who believed themselves to be unaffected by pulmonary fibrosis underwent CT scans of the chest. Images were visually reviewed, and a deep learning algorithm was used to quantify lung fibrosis. Genotyping for common idiopathic pulmonary fibrosis risk variants in MUC5B and TERT was performed. FINDINGS In 494 relatives of patients with FIP from 263 families of patients with FIP, the prevalence of PrePF on visual CT evaluation was 15.6% (95% CI 12.6 to 19.0). Compared with visual CT evaluation, deep learning quantitative CT analysis had 84% sensitivity (95% CI 0.72 to 0.89) and 86% sensitivity (95% CI 0.83 to 0.89) for discriminating subjects with visual PrePF diagnosis. Subjects with PrePF were older (65.9, SD 10.1 years) than subjects without fibrosis (55.8 SD 8.7 years), more likely to be male (49% vs 37%), more likely to have smoked (44% vs 27%) and more likely to have the MUC5B promoter variant rs35705950 (minor allele frequency 0.29 vs 0.21). MUC5B variant carriers had higher quantitative CT fibrosis scores (mean difference of 0.36%), a difference that remains significant when controlling for age and sex. INTERPRETATION PrePF is common in relatives of patients with FIP. Its prevalence increases with age and the presence of a common MUC5B promoter variant. Quantitative CT analysis can detect these imaging abnormalities.
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Affiliation(s)
- Susan K Mathai
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States .,Center for Advanced Heart & Lung Disease, Baylor University Medical Center, Dallas, Texas, United States
| | - Stephen Humphries
- Department of Radiology, National Jewish Health, Denver, Colorado, United States
| | - Jonathan A Kropski
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Timothy S Blackwell
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.,Department of Veterans Affairs Medical Center, Vanderbilt, Nashville, Tennessee, United States
| | - Julia Powers
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Avram D Walts
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Cheryl Markin
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Julia Woodward
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Jonathan H Chung
- Department of Radiology, National Jewish Health, Denver, Colorado, United States.,Department of Radiology, University of Chicago, Chicago, Illinois, United States
| | - Kevin K Brown
- Department of Medicine, National Jewish Health, Denver, Colorado, United States
| | - Mark P Steele
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - James E Loyd
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Marvin I Schwarz
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Tasha Fingerlin
- Center for Genes, Environment & Health, National Jewish Health, Denver, Colorado, United States
| | - Ivana V Yang
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, Colorado, United States
| | - David A Schwartz
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
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25
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Synn AJ, Li W, San José Estépar R, Zhang C, Washko GR, O'Connor GT, Araki T, Hatabu H, Bankier AA, Mittleman MA, Rice MB. Radiographic pulmonary vessel volume, lung function and airways disease in the Framingham Heart Study. Eur Respir J 2019; 54:13993003.00408-2019. [PMID: 31248956 DOI: 10.1183/13993003.00408-2019] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/24/2019] [Indexed: 01/24/2023]
Abstract
Radiographic abnormalities of the pulmonary vessels, such as vascular pruning, are common in advanced airways disease, but it is unknown if pulmonary vascular volumes are related to measures of lung health and airways disease in healthier populations.In 2388 participants of the Framingham Heart Study computed tomography (CT) sub-study, we calculated total vessel volumes and the small vessel fraction using automated CT image analysis. We evaluated associations with measures of lung function, airflow obstruction on spirometry and emphysema on CT. We further tested if associations of vascular volumes with lung function were present among those with normal forced expiratory volume in 1 s and forced vital capacity.In fully adjusted linear and logistic models, we found that lower total and small vessel volumes were consistently associated with worse measures of lung health, including lower spirometric volumes, lower diffusing capacity and/or higher odds of airflow obstruction. For example, each standard deviation lower small vessel fraction (indicating more severe pruning) was associated with a 37% greater odds of obstruction (OR 1.37, 95% CI 1.11-1.71, p=0.004). A similar pattern was observed in the subset of participants with normal spirometry.Lower total and small vessel pulmonary vascular volumes were associated with poorer measures of lung health and/or greater odds of airflow obstruction in this cohort of generally healthy adults without high burdens of smoking or airways disease. Our findings suggest that quantitative CT assessment may detect subtle pulmonary vasculopathy that occurs in the setting of subclinical and early pulmonary and airways pathology.
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Affiliation(s)
- Andrew J Synn
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA .,Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Wenyuan Li
- Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Raúl San José Estépar
- Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chunyi Zhang
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,The NHLBI's Framingham Heart Study, Framingham, MA, USA
| | - George T O'Connor
- The NHLBI's Framingham Heart Study, Framingham, MA, USA.,Pulmonary Center, Boston University School of Medicine, Boston, MA, USA
| | - Tetsuro Araki
- Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Hiroto Hatabu
- Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,The NHLBI's Framingham Heart Study, Framingham, MA, USA
| | - Alexander A Bankier
- Dept of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Murray A Mittleman
- Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mary B Rice
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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26
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Silva M, Milanese G, Sverzellati N. Interstitial lung abnormalities: prognostic stratification of subtle radiological findings. Curr Opin Pulm Med 2019; 24:432-439. [PMID: 29939864 DOI: 10.1097/mcp.0000000000000497] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW The purpose of this review is to provide the radiological description of interstitial lung abnormalities (ILA) as an increasingly reported entity on high-resolution computed tomography (HRCT), and to discuss their prospective interpretation. RECENT FINDINGS Elementary findings consistent with ILA are described on HRCT, yet the diagnostic confidence for the interpretation of these subtle features might be challenging and further hampered by interobserver variability. Quantitative analysis is expected to provide standardized and reproducible description of ILA. There is affinity between ILA morphology and histopathological pattern, either fibrosis or atypical adenomatous hyperplasia. Beyond radiology, there are predictors of risk of ILA, such as: age, smoking habit, circulating biomarkers, and genetic sequencing. ILA with fibrotic morphology show prognostic impact including progression to interstitial lung disease, mortality from respiratory disease, and all-cause mortality. The association between ILA and susceptibility to lung damage further includes the interlacing connection between interstitial findings and lung cancer, both as a risk factor for diagnosis and as a predictor of survival. SUMMARY ILA are a (minor) finding on HRCT and they should be reported by radiologists for optimal management within the specific clinic-functional scenario. ILA encompass a number of semiological characteristics associated with either fibrotic or nonfibrotic disease.
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Affiliation(s)
- Mario Silva
- Section of Radiology, Unit of Surgical Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, Parma.,bioMILD Lung Cancer Screening Trial, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Gianluca Milanese
- Section of Radiology, Unit of Surgical Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, Parma
| | - Nicola Sverzellati
- Section of Radiology, Unit of Surgical Sciences, Department of Medicine and Surgery (DiMeC), University of Parma, Parma
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27
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Can a Floppy Upper Airway Lead to Stiff Lungs? Ann Am Thorac Soc 2019; 14:1759-1760. [PMID: 29192817 DOI: 10.1513/annalsats.201707-519ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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28
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Yin N, Shen C, Dong F, Wang J, Guo Y, Bai L. Computer-aided identification of interstitial lung disease based on computed tomography. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2019; 27:591-603. [PMID: 31205009 DOI: 10.3233/xst-180460] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
OBJECTIVE Identification of interstitial lung disease (ILD) may be difficult in certain cases using pulmonary function tests (PFTs) or subjective radiological analysis. We evaluated the efficacy of quantitative computed tomography (CT) with 3-dimensional (3D) reconstruction for distinguishing ILD patients from healthy controls. MATERIALS AND METHODS We retrospectively collected chest CT images of 102 ILD patients and 102 healthy matched controls, and measured the following parameters: lung parenchymal volume, emphysema indices low attenuation area LAA910 volume, LAA950 volume, LAA910%, and LAA950%, and mean lung density (MLD) for whole lung, left lung, right lung, and each lobe, respectively. The Mann-Whitney U test was used to compare quantitative CT parameters between groups. Receiver operating characteristic (ROC) curves, Bayesian stepwise discriminant analysis, and deep neural network analysis were used to test the discriminative performance of quantitative CT parameters. Binary logistic regression was performed to identify ILD markers. RESULTS Total lung volume was lower in ILD patients than controls, while emphysema and MLD values were higher (P < 0.001) except LAA910 volume in right middle lobe. LAA910 volume, LAA950 volume, LAA910%, LAA950%, and MLD accurately distinguished ILD patients from healthy controls (AUC >0.5, P < 0.05), and high MLD was a significant marker for ILD (OR = 1.047, P < 0.05). CONCLUSIONS This quantitative CT analysis can effectively identify ILD patients, providing an alternative to subjective image analysis and PFTs.
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Affiliation(s)
- Nan Yin
- Department of Medical Imaging, The First Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China
| | - Cong Shen
- Department of Medical Imaging, The First Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China
| | - Fuwen Dong
- Department of Medical Imaging, The First Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China
- Department of Medical Imaging, the Traditional Hospital of Gansu Province, Lanzhou, Gansu, China
| | - Jun Wang
- Department of Medical Imaging, The First Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China
| | - Youmin Guo
- Department of Medical Imaging, The First Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China
| | - Lu Bai
- Department of Medical Imaging, The First Affiliated Hospital of Xian Jiaotong University, Xi'an, Shaanxi, China
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Newell JD, Tschirren J, Peterson S, Beinlich M, Sieren J. Quantitative CT of Interstitial Lung Disease. Semin Roentgenol 2018; 54:73-79. [PMID: 30685002 DOI: 10.1053/j.ro.2018.12.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- John D Newell
- VIDA Diagnostics Inc, Coralville, IA; University of Washington, Department of Radiology, Seattle, WA; University of Iowa, Departments of Radiology and Biomedical Engineering, Iowa City, IA.
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Walsh SLF, Devaraj A, Enghelmayer JI, Kishi K, Silva RS, Patel N, Rossman MD, Valenzuela C, Vancheri C. Role of imaging in progressive-fibrosing interstitial lung diseases. Eur Respir Rev 2018; 27:27/150/180073. [PMID: 30578332 PMCID: PMC9488692 DOI: 10.1183/16000617.0073-2018] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 11/01/2018] [Indexed: 01/03/2023] Open
Abstract
Imaging techniques are an essential component of the diagnostic process for interstitial lung diseases (ILDs). Chest radiography is frequently the initial indicator of an ILD, and comparison of radiographs taken at different time points can show the rate of disease progression. However, radiography provides only limited specificity and sensitivity and is primarily used to rule out other diseases, such as left heart failure. High-resolution computed tomography (HRCT) is a more sensitive method and is considered central in the diagnosis of ILDs. Abnormalities observed on HRCT can help identify specific ILDs. HRCT also can be used to evaluate the patient's prognosis, while disease progression can be assessed through serial imaging. Other imaging techniques such as positron emission tomography-computed tomography and magnetic resonance imaging have been investigated, but they are not commonly used to assess patients with ILDs. Disease severity may potentially be estimated using quantitative methods, as well as visual analysis of images. For example, comprehensive assessment of disease staging and progression in patients with ILDs requires visual analysis of pulmonary features that can be performed in parallel with quantitative analysis of the extent of fibrosis. New approaches to image analysis, including the application of machine learning, are being developed. Imaging techniques, particularly HRCT, are the cornerstone for ILD diagnosis and new approaches to analysing HRCT images, including machine-learning technology, are being developedhttp://ow.ly/1R1e30mOqhn
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Affiliation(s)
- Simon L F Walsh
- Dept of Radiology, King's College NHS Foundation Trust, London, UK.,Both authors contributed equally
| | - Anand Devaraj
- Dept of Radiology, Royal Brompton & Harefield Hospital, London, UK.,Both authors contributed equally
| | - Juan Ignacio Enghelmayer
- División Neumonología, Hospital de Clínicas José de San Martín, Universidad de Buenos Aires, Fundación Funef, Buenos Aires, Argentina
| | - Kazuma Kishi
- Dept of Respiratory Medicine, Respiratory Center, Toranomon Hospital, Tokyo, Japan
| | - Rafael S Silva
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile
| | - Nina Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Milton D Rossman
- Pulmonary, Allergy & Critical Care Division, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Carlo Vancheri
- Regional Referral Centre for Rare Lung Diseases, University Hospital "Policlinico", Dept of Clinical and Respiratory Medicine, University of Catania, Catania, Italy
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Salisbury ML, Lynch DA. Toward Early Identification of Clinically Relevant Interstitial Lung Disease. Am J Respir Crit Care Med 2017; 196:1368-1369. [PMID: 28731358 DOI: 10.1164/rccm.201706-1235ed] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
| | - David A Lynch
- 2 Department of Radiology National Jewish Health Denver, Colorado
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32
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Miller ER, Hunninghake GM. Malaria and the development of pulmonary fibrosis. Eur Respir J 2017; 50:50/6/1702030. [PMID: 29217609 DOI: 10.1183/13993003.02030-2017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Accepted: 10/05/2017] [Indexed: 11/05/2022]
Affiliation(s)
- Ezra R Miller
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gary M Hunninghake
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA .,Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Boston, MA, USA
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Podolanczuk AJ, Oelsner EC, Barr RG, Bernstein EJ, Hoffman EA, Easthausen IJ, Stukovsky KH, RoyChoudhury A, Michos ED, Raghu G, Kawut SM, Lederer DJ. High-Attenuation Areas on Chest Computed Tomography and Clinical Respiratory Outcomes in Community-Dwelling Adults. Am J Respir Crit Care Med 2017; 196:1434-1442. [PMID: 28613921 PMCID: PMC5736977 DOI: 10.1164/rccm.201703-0555oc] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 06/13/2017] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Areas of increased lung attenuation visualized by computed tomography are associated with all-cause mortality in the general population. It is uncertain whether this association is attributable to interstitial lung disease (ILD). OBJECTIVES To determine whether high-attenuation areas are associated with the risk of ILD hospitalization and mortality in the general population. METHODS We performed a cohort study of 6,808 adults aged 45-84 years sampled from six communities in the United States. High-attenuation areas were defined as the percentage of imaged lung volume with attenuation values between -600 and -250 Hounsfield units. An adjudication panel determined ILD hospitalization and death. MEASUREMENTS AND MAIN RESULTS After adjudication, 52 participants had a diagnosis of ILD during 75,232 person-years (median, 12.2 yr) of follow-up. There were 48 hospitalizations attributable to ILD (crude rate, 6.4 per 10,000 person-years). Twenty participants died as a result of ILD (crude rate, 2.7 per 10,000 person-years). High-attenuation areas were associated with an increased rate of ILD hospitalization (adjusted hazard ratio, 2.6 per 1-SD increment in high-attenuation areas; 95% confidence interval, 1.9-3.5; P < 0.001), a finding that was stronger among men, African Americans, and Hispanics. High-attenuation areas were also associated with an increased rate of ILD-specific death (adjusted hazard ratio, 2.3; 95% confidence interval, 1.7-3.0; P < 0.001). Our findings were consistent among both smokers and nonsmokers. CONCLUSIONS Areas of increased lung attenuation are a novel risk factor for ILD hospitalization and mortality. Measurement of high-attenuation areas by screening and diagnostic computed tomography may be warranted in at-risk adults.
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Affiliation(s)
| | | | | | | | - Eric A. Hoffman
- Department of Radiology
- Department of Internal Medicine, and
- Department of Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | | | | | - Arindam RoyChoudhury
- Department of Biostatistics, Columbia University Medical Center, New York, New York
| | - Erin D. Michos
- Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland; and
| | - Ganesh Raghu
- Department of Medicine, University of Washington, Seattle, Washington
| | - Steven M. Kawut
- Department of Medicine and
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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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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35
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Salisbury ML, Lynch DA, van Beek EJR, Kazerooni EA, Guo J, Xia M, Murray S, Anstrom KJ, Yow E, Martinez FJ, Hoffman EA, Flaherty KR. Idiopathic Pulmonary Fibrosis: The Association between the Adaptive Multiple Features Method and Fibrosis Outcomes. Am J Respir Crit Care Med 2017; 195:921-929. [PMID: 27767347 DOI: 10.1164/rccm.201607-1385oc] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Adaptive multiple features method (AMFM) lung texture analysis software recognizes high-resolution computed tomography (HRCT) patterns. OBJECTIVES To evaluate AMFM and visual quantification of HRCT patterns and their relationship with disease progression in idiopathic pulmonary fibrosis. METHODS Patients with idiopathic pulmonary fibrosis in a clinical trial of prednisone, azathioprine, and N-acetylcysteine underwent HRCT at study start and finish. Proportion of lung occupied by ground glass, ground glass-reticular (GGR), honeycombing, emphysema, and normal lung densities were measured by AMFM and three radiologists, documenting baseline disease extent and postbaseline change. Disease progression includes composite mortality, hospitalization, and 10% FVC decline. MEASUREMENTS AND MAIN RESULTS Agreement between visual and AMFM measurements was moderate for GGR (Pearson's correlation r = 0.60, P < 0.0001; mean difference = -0.03 with 95% limits of agreement of -0.19 to 0.14). Baseline extent of GGR was independently associated with disease progression when adjusting for baseline Gender-Age-Physiology stage and smoking status (hazard ratio per 10% visual GGR increase = 1.98, 95% confidence interval [CI] = 1.20-3.28, P = 0.008; and hazard ratio per 10% AMFM GGR increase = 1.36, 95% CI = 1.01-1.84, P = 0.04). Postbaseline visual and AMFM GGR trajectories were correlated with postbaseline FVC trajectory (r = -0.30, 95% CI = -0.46 to -0.11, P = 0.002; and r = -0.25, 95% CI = -0.42 to -0.06, P = 0.01, respectively). CONCLUSIONS More extensive baseline visual and AMFM fibrosis (as measured by GGR densities) is independently associated with elevated hazard for disease progression. Postbaseline change in AMFM-measured and visually measured GGR densities are modestly correlated with change in FVC. AMFM-measured fibrosis is an automated adjunct to existing prognostic markers and may allow for study enrichment with subjects at increased disease progression risk.
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Affiliation(s)
| | - David A Lynch
- 2 Department of Radiology, National Jewish Health, Denver, Colorado
| | - Edwin J R van Beek
- 3 Centre for Inflammation Research, Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Junfeng Guo
- 5 Department of Radiology, University of Iowa, Iowa City, Iowa
| | - Meng Xia
- 6 Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Susan Murray
- 6 Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Kevin J Anstrom
- 7 Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.,8 Duke Clinical Research Institute, Duke Medical Center, Durham, North Carolina; and
| | - Eric Yow
- 8 Duke Clinical Research Institute, Duke Medical Center, Durham, North Carolina; and
| | - Fernando J Martinez
- 9 Division of Pulmonary and Critical Care Medicine, Department of Medicine, Cornell Medical College, New York, New York
| | - Eric A Hoffman
- 5 Department of Radiology, University of Iowa, Iowa City, Iowa
| | - Kevin R Flaherty
- 1 Division of Pulmonary and Critical Care Medicine, Department of Medicine
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Humphries SM, Yagihashi K, Huckleberry J, Rho BH, Schroeder JD, Strand M, Schwarz MI, Flaherty KR, Kazerooni EA, van Beek EJR, Lynch DA. Idiopathic Pulmonary Fibrosis: Data-driven Textural Analysis of Extent of Fibrosis at Baseline and 15-Month Follow-up. Radiology 2017; 285:270-278. [PMID: 28493789 DOI: 10.1148/radiol.2017161177] [Citation(s) in RCA: 110] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Purpose To evaluate associations between pulmonary function and both quantitative analysis and visual assessment of thin-section computed tomography (CT) images at baseline and at 15-month follow-up in subjects with idiopathic pulmonary fibrosis (IPF). Materials and Methods This retrospective analysis of preexisting anonymized data, collected prospectively between 2007 and 2013 in a HIPAA-compliant study, was exempt from additional institutional review board approval. The extent of lung fibrosis at baseline inspiratory chest CT in 280 subjects enrolled in the IPF Network was evaluated. Visual analysis was performed by using a semiquantitative scoring system. Computer-based quantitative analysis included CT histogram-based measurements and a data-driven textural analysis (DTA). Follow-up CT images in 72 of these subjects were also analyzed. Univariate comparisons were performed by using Spearman rank correlation. Multivariate and longitudinal analyses were performed by using a linear mixed model approach, in which models were compared by using asymptotic χ2 tests. Results At baseline, all CT-derived measures showed moderate significant correlation (P < .001) with pulmonary function. At follow-up CT, changes in DTA scores showed significant correlation with changes in both forced vital capacity percentage predicted (ρ = -0.41, P < .001) and diffusing capacity for carbon monoxide percentage predicted (ρ = -0.40, P < .001). Asymptotic χ2 tests showed that inclusion of DTA score significantly improved fit of both baseline and longitudinal linear mixed models in the prediction of pulmonary function (P < .001 for both). Conclusion When compared with semiquantitative visual assessment and CT histogram-based measurements, DTA score provides additional information that can be used to predict diminished function. Automatic quantification of lung fibrosis at CT yields an index of severity that correlates with visual assessment and functional change in subjects with IPF. © RSNA, 2017.
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Affiliation(s)
- Stephen M Humphries
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Kunihiro Yagihashi
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Jason Huckleberry
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Byung-Hak Rho
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Joyce D Schroeder
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Matthew Strand
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Marvin I Schwarz
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Kevin R Flaherty
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Ella A Kazerooni
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - Edwin J R van Beek
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
| | - David A Lynch
- From the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.)
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37
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Podolanczuk AJ, Oelsner EC, Barr RG, Hoffman EA, Armstrong HF, Austin JHM, Basner RC, Bartels MN, Christie JD, Enright PL, Gochuico BR, Hinckley Stukovsky K, Kaufman JD, Hrudaya Nath P, Newell JD, Palmer SM, Rabinowitz D, Raghu G, Sell JL, Sieren J, Sonavane SK, Tracy RP, Watts JR, Williams K, Kawut SM, Lederer DJ. High attenuation areas on chest computed tomography in community-dwelling adults: the MESA study. Eur Respir J 2016; 48:1442-1452. [PMID: 27471206 DOI: 10.1183/13993003.00129-2016] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 05/07/2016] [Indexed: 01/02/2023]
Abstract
Evidence suggests that lung injury, inflammation and extracellular matrix remodelling precede lung fibrosis in interstitial lung disease (ILD). We examined whether a quantitative measure of increased lung attenuation on computed tomography (CT) detects lung injury, inflammation and extracellular matrix remodelling in community-dwelling adults sampled without regard to respiratory symptoms or smoking.We measured high attenuation areas (HAA; percentage of lung voxels between -600 and -250 Hounsfield Units) on cardiac CT scans of adults enrolled in the Multi-Ethnic Study of Atherosclerosis.HAA was associated with higher serum matrix metalloproteinase-7 (mean adjusted difference 6.3% per HAA doubling, 95% CI 1.3-11.5), higher interleukin-6 (mean adjusted difference 8.8%, 95% CI 4.8-13.0), lower forced vital capacity (FVC) (mean adjusted difference -82 mL, 95% CI -119--44), lower 6-min walk distance (mean adjusted difference -40 m, 95% CI -1--80), higher odds of interstitial lung abnormalities at 9.5 years (adjusted OR 1.95, 95% CI 1.43-2.65), and higher all cause-mortality rate over 12.2 years (HR 1.58, 95% CI 1.39-1.79).High attenuation areas are associated with biomarkers of inflammation and extracellular matrix remodelling, reduced lung function, interstitial lung abnormalities, and a higher risk of death among community-dwelling adults.
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Affiliation(s)
- Anna J Podolanczuk
- Dept of Medicine, Columbia University Medical Center, New York, NY, USA.,Both authors contributed equally to this work
| | - Elizabeth C Oelsner
- Dept of Medicine, Columbia University Medical Center, New York, NY, USA.,Both authors contributed equally to this work
| | - R Graham Barr
- Dept of Medicine, Columbia University Medical Center, New York, NY, USA.,Dept of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Eric A Hoffman
- Depts of Radiology, Medicine and Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Hilary F Armstrong
- Dept of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - John H M Austin
- Dept of Radiology, Columbia University Medical Center, New York, NY, USA
| | - Robert C Basner
- Dept of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Matthew N Bartels
- Dept of Rehabilitation Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Jason D Christie
- Dept of Medicine and the Center for Translational Lung Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul L Enright
- Dept of Epidemiology, University of Arizona, Tucson, AZ, USA
| | | | | | - Joel D Kaufman
- Dept of Medicine, University of Washington, Seattle, WA, USA
| | - P Hrudaya Nath
- Dept of Radiology, University of Alabama, South Birmingham, AL, USA
| | - John D Newell
- Depts of Radiology, Medicine and Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Scott M Palmer
- Duke Clinical Research Institute, Duke University, Durham, NC, USA
| | - Dan Rabinowitz
- Dept of Statistics, Columbia University, New York, NY, USA
| | - Ganesh Raghu
- Dept of Medicine, University of Washington, Seattle, WA, USA
| | - Jessica L Sell
- Dept of Medicine, Columbia University Medical Center, New York, NY, USA
| | | | | | - Russell P Tracy
- Dept of Pathology, University of Vermont, Colchester, VT, USA
| | - Jubal R Watts
- Dept of Radiology, University of Alabama, South Birmingham, AL, USA
| | | | - Steven M Kawut
- Dept of Medicine and the Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David J Lederer
- Dept of Medicine, Columbia University Medical Center, New York, NY, USA .,Dept of Epidemiology, Columbia University Medical Center, New York, NY, USA
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