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Tekatli H, Bohoudi O, Hardcastle N, Palacios MA, Schneiders FL, Bruynzeel AME, Siva S, Senan S. Artificial intelligence-assisted quantitative CT analysis of airway changes following SABR for central lung tumors. Radiother Oncol 2024; 198:110376. [PMID: 38857700 DOI: 10.1016/j.radonc.2024.110376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 05/29/2024] [Accepted: 06/02/2024] [Indexed: 06/12/2024]
Abstract
INTRODUCTION Use of stereotactic ablative radiotherapy (SABR) for central lung tumors can result in up to a 35% incidence of late pulmonary toxicity. We evaluated an automated scoring method to quantify post-SABR bronchial changes by using artificial intelligence (AI)-based airway segmentation. MATERIALS AND METHODS Central lung SABR patients treated at Amsterdam UMC (AUMC, internal reference dataset) and Peter MacCallum Cancer Centre (PMCC, external validation dataset) were identified. Patients were eligible if they had pre- and post-SABR CT scans with ≤ 1 mm resolution. The first step of the automated scoring method involved AI-based airway auto-segmentation using MEDPSeg, an end-to-end deep learning-based model. The Vascular Modeling Toolkit in 3D Slicer was then used to extract a centerline curve through the auto-segmented airway lumen, and cross-sectional measurements were computed along each bronchus for all CT scans. For AUMC patients, airway stenosis/occlusion was evaluated by both visual assessment and automated scoring. Only the automated method was applied to the PMCC dataset. RESULTS Study patients comprised 26 from AUMC, and 33 from PMCC. Visual scoring identified stenosis/occlusion in 8 AUMC patients (31 %), most frequently in the segmental bronchi. After airway auto-segmentation, minor manual edits were needed in 9 % of patients. Segmentation for a single scan averaged 83sec (range 73-136). Automated scoring nearly doubled detected airway stenosis/occlusion (n = 15, 58 %), and allowed for earlier detection in 5/8 patients who had also visually scored changes. Estimated rates were 48 % and 66 % at 1- and 2-years, respectively, for the internal dataset. The automated detection rate was 52 % in the external dataset, with 1- and 2-year risks of 56 % and 61 %, respectively. CONCLUSION An AI-based automated scoring method allows for detection of more bronchial stenosis/occlusion after lung SABR, and at an earlier time-point. This tool can facilitate studies to determine early airway changes and establish more reliable airway tolerance doses.
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Affiliation(s)
- Hilâl Tekatli
- Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands.
| | - Omar Bohoudi
- Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands
| | - Nicholas Hardcastle
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Miguel A Palacios
- Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands
| | - Famke L Schneiders
- Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands
| | - Anna M E Bruynzeel
- Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands
| | - Shankar Siva
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Suresh Senan
- Department of Radiation Oncology, Amsterdam UMC (location VUmc), the Netherlands
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Elbehairy AF, Marshall H, Naish JH, Wild JM, Parraga G, Horsley A, Vestbo J. Advances in COPD imaging using CT and MRI: linkage with lung physiology and clinical outcomes. Eur Respir J 2024; 63:2301010. [PMID: 38548292 DOI: 10.1183/13993003.01010-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 03/16/2024] [Indexed: 05/04/2024]
Abstract
Recent years have witnessed major advances in lung imaging in patients with COPD. These include significant refinements in images obtained by computed tomography (CT) scans together with the introduction of new techniques and software that aim for obtaining the best image whilst using the lowest possible radiation dose. Magnetic resonance imaging (MRI) has also emerged as a useful radiation-free tool in assessing structural and more importantly functional derangements in patients with well-established COPD and smokers without COPD, even before the existence of overt changes in resting physiological lung function tests. Together, CT and MRI now allow objective quantification and assessment of structural changes within the airways, lung parenchyma and pulmonary vessels. Furthermore, CT and MRI can now provide objective assessments of regional lung ventilation and perfusion, and multinuclear MRI provides further insight into gas exchange; this can help in structured decisions regarding treatment plans. These advances in chest imaging techniques have brought new insights into our understanding of disease pathophysiology and characterising different disease phenotypes. The present review discusses, in detail, the advances in lung imaging in patients with COPD and how structural and functional imaging are linked with common resting physiological tests and important clinical outcomes.
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Affiliation(s)
- Amany F Elbehairy
- Department of Chest Diseases, Faculty of Medicine, Alexandria University, Alexandria, Egypt
- Division of Infection, Immunity and Respiratory Medicine, The University of Manchester and Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Helen Marshall
- POLARIS, Imaging, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Josephine H Naish
- MCMR, Manchester University NHS Foundation Trust, Manchester, UK
- Bioxydyn Limited, Manchester, UK
| | - Jim M Wild
- POLARIS, Imaging, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
- Insigneo Institute for in silico Medicine, Sheffield, UK
| | - Grace Parraga
- Robarts Research Institute, Western University, London, ON, Canada
- Department of Medical Biophysics, Western University, London, ON, Canada
- Division of Respirology, Western University, London, ON, Canada
| | - Alexander Horsley
- Division of Infection, Immunity and Respiratory Medicine, The University of Manchester and Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Jørgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, The University of Manchester and Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
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Diaz AA. Seeing and Not Seeing Is Believing: Predicting COPD With Lung Imaging. Chest 2023; 164:1069-1070. [PMID: 37945184 DOI: 10.1016/j.chest.2023.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 07/11/2023] [Indexed: 11/12/2023] Open
Affiliation(s)
- Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA.
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Nadeem SA, Comellas AP, Hoffman EA, Saha PK. Airway Detection in COPD at Low-Dose CT Using Deep Learning and Multiparametric Freeze and Grow. Radiol Cardiothorac Imaging 2022; 4:e210311. [PMID: 36601453 PMCID: PMC9806731 DOI: 10.1148/ryct.210311] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 09/27/2022] [Accepted: 10/27/2022] [Indexed: 06/17/2023]
Abstract
PURPOSE To present and validate a fully automated airway detection method at low-dose CT in patients with chronic obstructive pulmonary disease (COPD). MATERIALS AND METHODS In this retrospective study, deep learning (DL) and freeze-and-grow (FG) methods were optimized and applied to automatically detect airways at low-dose CT. Four data sets were used: two data sets consisting of matching standard- and low-dose CT scans from the Genetic Epidemiology of COPD (COPDGene) phase II (2014-2017) cohort (n = 2 × 236; mean age ± SD, 70 years ± 9; 123 women); one data set consisting of low-dose CT scans from the COPDGene phase III (2018-2020) cohort (n = 335; mean age ± SD, 73 years ± 8; 173 women); and one data set consisting of low-dose, anonymized CT scans from the 2003 Dutch-Belgian Randomized Lung Cancer Screening trial (n = 55) acquired by using different CT scanners. Performance measures for different methods were computed and compared by using the Wilcoxon signed rank test. RESULTS At low-dose CT, 56 294 of 62 480 (90.1%) airways of the reference total airway count (TAC) and 32 109 of 37 864 (84.8%) airways of the peripheral TAC (TACp), detected at standard-dose CT, were detected. Significant losses (P < .001) of 14 526 of 76 453 (19.0%) airways and 884 of 6908 (12.8%) airways in the TAC and 12 256 of 43 462 (28.2%) airways and 699 of 3882 (18.0%) airways in the TACp were observed, respectively, for the multiprotocol and multiscanner data without retraining. When using the automated low-dose CT method, TAC values of 347, 342, 323, and 266 and TACp values of 205, 202, 289, and 141 were observed for those who have never smoked and participants at Global Initiative for Chronic Obstructive Lung Disease stages 0, 1, and 2, respectively, which were superior to the respective values previously reported for matching groups when using a semiautomated method at standard-dose CT. CONCLUSION A low-cost, automated CT-based airway detection method was suitable for investigation of airway phenotypes at low-dose CT.Keywords: Airway, Airway Count, Airway Detection, Chronic Obstructive Pulmonary Disease, CT, Deep Learning, Generalizability, Low-Dose CT, Segmentation, Thorax, LungClinical trial registration no. NCT00608764 Supplemental material is available for this article. © RSNA, 2022.
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Qiao X, Hou G, Kang J, Wang QY, Yin Y. CT Attenuation and Cross-Sectional Area of the Pectoralis Are Associated With Clinical Characteristics in Chronic Obstructive Pulmonary Disease Patients. Front Physiol 2022; 13:833796. [PMID: 35721549 PMCID: PMC9205603 DOI: 10.3389/fphys.2022.833796] [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: 12/14/2021] [Accepted: 04/20/2022] [Indexed: 12/01/2022] Open
Abstract
Purpose: Muscle wasting is associated with prognosis in patients with chronic obstructive pulmonary disease (COPD). Computed tomography (CT) could serve as a method for muscle assessment due to its ability to measure both muscle quantity (e.g., cross-sectional muscle area) and muscle quality (e.g., muscle attenuation). Our study aimed to compare the differences in CT-derived pectoralis muscle cross-sectional area (PMA) and pectoralis muscle attenuation (PMT) between COPD patients and healthy controls and explore the association between PMA and PMT measurements and clinical characteristics in patients with COPD. Methods: A total of 252 participants included in our analysis consisted of 80 healthy controls and 172 patients with COPD. PMA and PMT were measured from a single axial slice of the CT scan above the aortic arch. Linear regression analysis was used to determine the correlation between PMA and PMT measurements and clinical characteristics in patients with COPD. Associations were adjusted for age, sex, BMI, FEV1%pred, smoking pack-years, current smoking status, emphysema percentage, and total airway count (TAC) of the right upper lobe apical bronchus (RB1). Results: PMA and PMT were lower in COPD patients, especially those with acute exacerbation, than in healthy controls. PMA and PMT were significantly associated with the severity of emphysema and the TAC of RB1 (p < 0.05). Patients with stable COPD, who had lower PMA and lower PMT, had significantly worse pulmonary function, poorer exercise tolerance, decreased quality of life, and worse dyspnea scores. In addition, patients with acute COPD exacerbation, who had lower PMA and lower PMT, had a higher risk of respiratory failure on admission. Conclusion: CT-derived measurements of the pectoralis muscle may be helpful in detecting declines in muscle quantity and quality and predicting disease severity in patients with COPD.
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Affiliation(s)
- Xin Qiao
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of China Medical University, Shenyang, China
| | - Gang Hou
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Jian Kang
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of China Medical University, Shenyang, China
| | - Qiu-Yue Wang
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of China Medical University, Shenyang, China
- *Correspondence: Qiu-Yue Wang, ; Yan Yin,
| | - Yan Yin
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of China Medical University, Shenyang, China
- *Correspondence: Qiu-Yue Wang, ; Yan Yin,
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Wu F, Jiang C, Zhou Y, Zheng Y, Tian H, Li H, Deng Z, Zhao N, Chen H, Ran P. Association of Total Airway Count on Computed Tomography with Pulmonary Function Decline in Early-Stage COPD: A Population-Based Prospective Cohort Study. Int J Chron Obstruct Pulmon Dis 2022; 16:3437-3448. [PMID: 34984001 PMCID: PMC8702985 DOI: 10.2147/copd.s339029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/06/2021] [Indexed: 11/23/2022] Open
Abstract
Background It has been found that the degree of terminal bronchiole destruction is associated with the severity of COPD. However, total airway count (TAC) of CT-visible and its relationship with COPD lung function severity and pulmonary function decline remains controversial. The present study aimed to determine whether TAC is significantly reduced in early-stage COPD (GOLD stage I–II) compared with healthy control subjects and whether TAC is associated with annual decline in pulmonary function in Chinese patients with early-stage COPD. Methods A total of 176 participants were enrolled in this study, of which 139 participants had undergone at least two spirometry measurements within 7 years (average 5.5 [standard deviation 0.8] years) after baseline data acquisition. CT-visible TAC was measured by summing all airway segments using semi-automated software. Average lumen diameter, average inner area, emphysema index, air trapping, and inspiratory Pi10 were also measured. Multivariable linear analysis was performed to evaluate variables that were significantly related to pulmonary function parameters and to evaluate the correlation between TAC and annual decline in longitudinal pulmonary function. Results Compared with healthy control subjects, CT-visible TAC was significantly reduced by 51% in GOLD II and by 31% in GOLD I after adjustment. TAC had the greatest impact on pre-bronchodilator FEV1, pre-bronchodilator FVC, post-bronchodilator FEV1, and post-bronchodilator FEV1/FVC (both p<0.001) among all CT indicators measured. TAC has the best correlation with inspiratory Pi10 (ρ=−0.751, p<0.001), an evaluation indicator of the degree of airway remodeling. TAC was independently associated with annual decline in pre-bronchodilator FEV1 (p=0.023), post-bronchodilator FEV1 (p=0.018), and post-bronchodilator FEV1/FVC (p<0.001). Conclusion This finding suggests that CT-visible TAC may be an evaluation indicator of the degree of airway remodeling, and was diminished in greater COPD lung function severity, and independently associated with disease progression. Early-stage COPD patients have already occurred lung structural changes and early intervention may be needed to ameliorate the progression of disease. Clinical Trial Registration ChiCTR-OO-14004264.
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Affiliation(s)
- Fan Wu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.,Guangzhou Laboratory, Bio-island, Guangzhou, People's Republic of China
| | - Changbin Jiang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Yumin Zhou
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.,Guangzhou Laboratory, Bio-island, Guangzhou, People's Republic of China
| | - Youlan Zheng
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Heshen Tian
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Haiqing Li
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Zhishan Deng
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ningning Zhao
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huai Chen
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Pixin Ran
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China.,Guangzhou Laboratory, Bio-island, Guangzhou, People's Republic of China
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Tanabe N, Hirai T. Recent advances in airway imaging using micro-computed tomography and computed tomography for chronic obstructive pulmonary disease. Korean J Intern Med 2021; 36:1294-1304. [PMID: 34607419 PMCID: PMC8588974 DOI: 10.3904/kjim.2021.124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 05/14/2021] [Indexed: 12/13/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a complex lung disease characterized by a combination of airway disease and emphysema. Emphysema is classified as centrilobular emphysema (CLE), paraseptal emphysema (PSE), or panlobular emphysema (PLE), and airway disease extends from the respiratory, terminal, and preterminal bronchioles to the central segmental airways. Although clinical computed tomography (CT) cannot be used to visualize the small airways, micro-CT has shown that terminal bronchiole disease is more severe in CLE than in PSE and PLE, and micro-CT findings suggest that the loss and luminal narrowing of terminal bronchioles is an early pathological change in CLE. Furthermore, the introduction of ultra-high-resolution CT has enabled direct evaluation of the proximal small (1 to 2-mm diameter) airways, and new CT analytical methods have enabled estimation of small airway disease and prediction of future COPD onset and lung function decline in smokers with and without COPD. This review discusses the literature on micro-CT and the technical advancements in clinical CT analysis for COPD. Hopefully, novel micro-CT findings will improve our understanding of the distinct pathogeneses of the emphysema subtypes to enable exploration of new therapeutic targets, and sophisticated CT imaging methods will be integrated into clinical practice to achieve more personalized management.
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Affiliation(s)
- Naoya Tanabe
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Vestal BE, Carlson NE, Ghosh D. Filtering Spatial Point Patterns Using Kernel Densities. SPATIAL STATISTICS 2021; 41:100487. [PMID: 33409121 PMCID: PMC7781288 DOI: 10.1016/j.spasta.2020.100487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Understanding spatial inhomogeneity and clustering in point patterns arises in many contexts, ranging from disease outbreak monitoring to analyzing radiologically-based emphysema in biomedical images. This can often involve classifying individual points as being part of a feature/cluster or as being part of a background noise process. Existing methods for this task can struggle when there are differences in the size and/or density of individual clusters. In this work, we propose employing kernel density estimates of the underlying point process intensity function, using an existing data-driven approach to bandwidth selection, to separate feature points from noise. This is achieved by constructing a null distribution, either through asymptotic properties or Monte Carlo simulation, and comparing kernel density estimates to a given quantile of this distribution. We demonstrate that our method, termed Kernel Density and Simulation based Filtering (KDS-Filt), showed superior performance to existing alternative approaches, especially when there is inhomogeneity in cluster sizes and density. We also show the utility of KDS-Filt for identifying clinically relevant information about the spatial distribution of emphysema in lung computed tomography scans. The KDS-Filt methodology is available as part of the sncp R package, which can be downloaded at https://github.com/stop-pre16/sncp.
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Affiliation(s)
- Brian E. Vestal
- Center for Genes, Environment and Health, National Jewish Health, 1400 Jackson St, Denver, CO 80206, USA
- Department of Biostatistics and Informatics, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO
| | - Nichole E. Carlson
- Department of Biostatistics and Informatics, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO
| | - Debashis Ghosh
- Department of Biostatistics and Informatics, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO
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Singla S, Gong M, Riley C, Sciurba F, Batmanghelich K. Improving clinical disease subtyping and future events prediction through a chest CT-based deep learning approach. Med Phys 2021; 48:1168-1181. [PMID: 33340116 PMCID: PMC7965349 DOI: 10.1002/mp.14673] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 10/30/2020] [Accepted: 12/09/2020] [Indexed: 12/20/2022] Open
Abstract
PURPOSE To develop and evaluate a deep learning (DL) approach to extract rich information from high-resolution computed tomography (HRCT) of patients with chronic obstructive pulmonary disease (COPD). METHODS We develop a DL-based model to learn a compact representation of a subject, which is predictive of COPD physiologic severity and other outcomes. Our DL model learned: (a) to extract informative regional image features from HRCT; (b) to adaptively weight these features and form an aggregate patient representation; and finally, (c) to predict several COPD outcomes. The adaptive weights correspond to the regional lung contribution to the disease. We evaluate the model on 10 300 participants from the COPDGene cohort. RESULTS Our model was strongly predictive of spirometric obstruction ( r 2 = 0.67) and grouped 65.4% of subjects correctly and 89.1% within one stage of their GOLD severity stage. Our model achieved an accuracy of 41.7% and 52.8% in stratifying the population-based on centrilobular (5-grade) and paraseptal (3-grade) emphysema severity score, respectively. For predicting future exacerbation, combining subjects' representations from our model with their past exacerbation histories achieved an accuracy of 80.8% (area under the ROC curve of 0.73). For all-cause mortality, in Cox regression analysis, we outperformed the BODE index improving the concordance metric (ours: 0.61 vs BODE: 0.56). CONCLUSIONS Our model independently predicted spirometric obstruction, emphysema severity, exacerbation risk, and mortality from CT imaging alone. This method has potential applicability in both research and clinical practice.
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Affiliation(s)
- Sumedha Singla
- School of Computing and InformationUniversity of PittsburghPittsburghPA15213USA
| | - Mingming Gong
- School of Mathematics and StatisticsThe University of MelbourneParkvilleVICAustralia
| | - Craig Riley
- Chester County HospitalUniversity of Pennsylvania Health SystemWest ChesterPAUSA
| | - Frank Sciurba
- Department of MedicineUniversity of Pittsburgh Medical CenterPittsburghPA15213USA
| | - Kayhan Batmanghelich
- Department of Biomedical InformaticsUniversity of PittsburghPittsburghPA15213USA
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Cui L, Li H, Xie M, Xu X, Zhang Y, Wang W, Dou S, Xiao W. Relationship Between Proteinase with a Disintegrin and a Metalloproteinase Domain-9 (ADAM9), Inflammation, Airway Remodeling, and Emphysema in COPD Patients. Int J Chron Obstruct Pulmon Dis 2020; 15:3335-3346. [PMID: 33363366 PMCID: PMC7753901 DOI: 10.2147/copd.s276171] [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: 08/13/2020] [Accepted: 11/09/2020] [Indexed: 12/23/2022] Open
Abstract
Background and Objective The link between ADAM9 and airway remodeling and emphysema severity in COPD patients has not been elucidated. Here, we investigated the relationship between ADAM9 levels in sputum and airway epithelium and the clinical characteristics of COPD patients. Methods A sputum cohort and a lung tissue cohort were included in the study. Pulmonary function and computed tomography data were analyzed in COPD patients, non-COPD smokers, and non-smokers. Soluble ADAM9 and interleukin 8 (IL-8) levels in sputum supernatants as well as surface ADAM9 expression in airway epithelium were detected. Emphysema scores were calculated by the percentage of low attenuation area (%LAA-950), and airway remodeling was measured via airway thickening and loss of airway counts. Results Both soluble ADAM9 levels in sputum and relative surface ADAM9 expression in airway epithelium were increased in COPD patients. Sputum ADAM9 levels were negatively correlated with forced expiratory volume in 1 s of predicted (FEV1% of predicted) and positively correlated with sputum IL-8 levels, but not with CT measured emphysema nor airway remodeling. The ADAM9 expression in airway epithelia was positively correlated with %LAA-950 and airway wall thickening parameters (wall area percentage, WA%; the square root of the wall area in a standard airway with a 10 mm internal perimeter, Pi-10), while negatively correlated with airway counts derived from the 4th to 9th bronchial generations. Conclusion Airway ADAM9 levels in sputum and airway epithelium were both elevated in COPD patients compared to non-COPD controls. Sputum ADAM9 seemed to be associated with inflammatory responses in COPD, while epithelial ADAM9 was more correlated with emphysema and airway remodeling.
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Affiliation(s)
- Liwei Cui
- Department of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China
| | - Haijun Li
- Department of Cadre Health Care, Qilu Hospital, Shandong University, Jinan, People's Republic of China
| | - Mengshuang Xie
- Department of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China
| | - Xia Xu
- Department of Cadre Health Care, Qilu Hospital, Shandong University, Jinan, People's Republic of China
| | - Yingmei Zhang
- Department of Pulmonary Medicine, Linyi People's Hospital, Linyi, People's Republic of China
| | - Wei Wang
- Department of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China
| | - Shuang Dou
- Department of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China
| | - Wei Xiao
- Department of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China
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Influence of Asthma Onset on Airway Dimensions on Ultra-high-resolution Computed Tomography in Chronic Obstructive Pulmonary Disease. J Thorac Imaging 2020; 36:224-230. [PMID: 33156159 DOI: 10.1097/rti.0000000000000568] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE Asthma onset before the age of 40 years is associated with distinct clinical manifestations in chronic obstructive pulmonary disease (COPD) patients, but its morphologic features remain unestablished. This study aimed to explore airway morphology in COPD patients with asthma onset before 40 years of age using ultra-high-resolution computed tomography (U-HRCT), which allows a more accurate quantitation of the lumen and the wall in smaller airways than using conventional CT. MATERIALS AND METHODS Clinical data of 500 consecutive patients undergoing full inspiratory U-HRCT (1024×1024 matrix and 0.25 mm slice thickness) were retrospectively analyzed. COPD patients without asthma, COPD patients with asthma onset at age below or 40 years and above, and non-COPD smoker controls (N=137, 29, 34, and 22, respectively) were enrolled. The length, lumen area (LA), wall thickness and area (WA), and wall area percent (WA%) of the segmental (third-generation) to sub-subsegmental (fifth-generation) bronchus and the low attenuation volume percent (LAV%) were measured. RESULTS LA and WA were smaller in the fourth and fifth generation in COPD patients than in non-COPD controls, regardless of the age of asthma onset. LA was smaller and WA% was larger in the fourth-generation and fifth-generation airways in COPD with asthma onset before 40 years than COPD without asthma, whereas WA did not differ between them. In multivariate analyses, asthma onset before 40 years was associated with smaller LA in COPD patients independent of demographics, use of inhaled corticosteroids and long-acting bronchodilators, airflow limitation, and LAV%. CONCLUSIONS Asthma onset before 40 years of age could be associated with greater lumen narrowing of the airways in COPD.
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Dolliver WR, Diaz AA. Advances in Chronic Obstructive Pulmonary Disease Imaging. ACTA ACUST UNITED AC 2020; 6:128-143. [PMID: 33758787 DOI: 10.23866/brnrev:2019-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Chest computed tomography (CT) imaging is a useful tool that provides in vivo information regarding lung structure. Imaging has contributed to a better understanding of COPD, allowing for the detection of early structural changes and the quantification of extra-pulmonary structures. Novel CT imaging techniques have provided insight into the progression of the main COPD subtypes, such as emphysema and small airway disease. This article serves as a review of new information relevant to COPD imaging. CT abnormalities, such as emphysema and loss of airways, are present even in smokers who do not meet the criteria for COPD and in those with mild-to-moderate disease. Subjects with mild-to-moderate COPD, with the highest loss of airways, also experience the highest decline in lung function. Extra-pulmonary manifestations of COPD, such as right ventricle enlargement and low muscle mass measured on CT, are associated with increased risk for all-cause mortality. CT longitudinal data has also given insight into the progression of COPD. Mechanically affected areas of lung parenchyma adjacent to emphysematous areas are associated with a greater decline in FEV1. Subjects with the greatest percentage of small airway disease, as measured on matched inspiratory-expiratory CT scan, also present with the greatest decline in lung function.
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Affiliation(s)
- Wojciech R Dolliver
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
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13
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Verbanck S. Quantitative Computed Tomography in Asthma: For Good Measure. Am J Respir Crit Care Med 2020; 201:885-886. [PMID: 31899653 PMCID: PMC7159411 DOI: 10.1164/rccm.201912-2481ed] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Sylvia Verbanck
- Respiratory Division University Hospital UZ BrusselBrussels, Belgium
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14
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Kirby M, Tanabe N, Vasilescu DM, Cooper JD, McDonough JE, Verleden SE, Vanaudenaerde BM, Sin DD, Tan WC, Coxson HO, Hogg JC. Computed Tomography Total Airway Count Is Associated with the Number of Micro-Computed Tomography Terminal Bronchioles. Am J Respir Crit Care Med 2020; 201:613-615. [PMID: 31697561 DOI: 10.1164/rccm.201910-1948le] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Miranda Kirby
- Ryerson UniversityToronto, Canada.,St. Paul's HospitalVancouver, Canada
| | | | | | - Joel D Cooper
- University of PennsylvaniaPhiladelphia, Pennsylvaniaand
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15
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Okajima Y, Come CE, Nardelli P, Sonavane SK, Yen A, Nath HP, Terry N, Grumley SA, Ahmed A, Kligerman S, Jacobs K, Lynch DA, Make BJ, Silverman EK, Washko GR, San José Estépar R, Diaz AA. Luminal Plugging on Chest CT Scan: Association With Lung Function, Quality of Life, and COPD Clinical Phenotypes. Chest 2020; 158:121-130. [PMID: 32017932 DOI: 10.1016/j.chest.2019.12.046] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 12/12/2019] [Accepted: 12/22/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Mucous exudates occluding the lumen of small airways are associated with reduced lung function and mortality in subjects with COPD; however, luminal plugs in large airways have not been widely studied. We aimed to examine the associations of chest CT scan-identified luminal plugging with lung function, health-related quality of life, and COPD phenotypes. METHODS We randomly selected 100 smokers without COPD and 400 smokers with COPD from the COPDGene Study. Luminal plugging was visually identified on inspiratory CT scans at baseline and 5-year follow-up. The relationships of luminal plugging to FEV1, St. George's Respiratory Questionnaire (SGRQ) score, emphysema on CT scan (defined as the percentage of low attenuation area < 950 Hounsfield units [%LAA-950]), and chronic bronchitis were assessed using linear and logistic multivariable analyses. RESULTS Overall, 111 subjects (22%) had luminal plugging. The prevalence of luminal plugging was higher in subjects with COPD than those without COPD (25% vs 10%, respectively; P = .001). In subjects with COPD, luminal plugging was significantly associated with FEV1 % predicted (estimate, -6.1; SE, 2.1; P = .004) and SGRQ score (estimate, 4.9; SE, 2.4; P = .04) in adjusted models. Although luminal plugging was associated with log %LAA-950 (estimate, 0.43; SE, 0.16; P = .007), its relationship with chronic bronchitis did not reach statistical significance (P = .07). Seventy-three percent of subjects with COPD with luminal plugging at baseline had it 5 years later. CONCLUSIONS In subjects with COPD, CT-identified luminal plugging is associated with airflow obstruction, worse health-related quality of life, and emphysema phenotype. This imaging feature may supplement the current clinical assessment of chronic mucus hypersecretion in COPD.
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Affiliation(s)
- Yuka Okajima
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Radiology, St. Luke's International Hospital, Chuo-ku, Tokyo, Japan.
| | - Carolyn E Come
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Pietro Nardelli
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Andrew Yen
- Department of Radiology, University of California, San Diego, CA
| | - Hrudaya P Nath
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL
| | - Nina Terry
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL
| | - Scott A Grumley
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL
| | - Asmaa Ahmed
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL
| | - Seth Kligerman
- Department of Radiology, University of California, San Diego, CA
| | - Kathleen Jacobs
- Department of Radiology, University of California, San Diego, CA
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, CO
| | - Barry J Make
- Division of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health, Denver, CO
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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16
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Tanabe N, Shima H, Sato S, Oguma T, Kubo T, Kozawa S, Koizumi K, Sato A, Togashi K, Hirai T. Direct evaluation of peripheral airways using ultra-high-resolution CT in chronic obstructive pulmonary disease. Eur J Radiol 2019; 120:108687. [DOI: 10.1016/j.ejrad.2019.108687] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 09/04/2019] [Accepted: 09/17/2019] [Indexed: 11/16/2022]
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17
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Hariprasad DS, Sul B, Liu C, Kiger KT, Altes T, Ruppert K, Reifman J, Wallqvist A. Obstructions in the lower airways lead to altered airflow patterns in the central airway. Respir Physiol Neurobiol 2019; 272:103311. [PMID: 31585172 DOI: 10.1016/j.resp.2019.103311] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/23/2019] [Accepted: 09/30/2019] [Indexed: 12/18/2022]
Abstract
A characteristic feature of obstructive lung diseases is the narrowing of small airways, which affects regional airflow patterns within the lung. However, the extent to which these patterns differ between healthy and diseased states is unknown. To investigate airflow patterns in detail, we first used particle image velocimetry measurements to validate a large eddy simulation model of flow in a patient-specific geometry. We then predicted flow patterns in the central airway under exhalation for three flow conditions-normal, intermediate, and severe-where boundary conditions represented the effect of lower airway obstructions. We computed Pearson correlation coefficients (R) to assess the similarity of flow patterns, and found that flow patterns demonstrated the greatest differentiation between flow conditions in the right main bronchi (R ≤0.60), whereas those in the secondary branches and regions of the trachea showed high correlation (R ≥0.90). These results indicate that although flow patterns are distinct between flow conditions, the choice of measurement location is critical for differentiation.
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Affiliation(s)
- Daniel S Hariprasad
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, FCMR-TT, 504 Scott St., Fort Detrick, MD 21702, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., 6720A Rockledge Dr., Bethesda, MD 20817, USA
| | - Bora Sul
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, FCMR-TT, 504 Scott St., Fort Detrick, MD 21702, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., 6720A Rockledge Dr., Bethesda, MD 20817, USA
| | - Chang Liu
- Department of Mechanical Engineering, University of Maryland, Glenn L. Martin Hall, 4298 Campus Dr., College Park, MD 20742, USA
| | - Kenneth T Kiger
- Department of Mechanical Engineering, University of Maryland, Glenn L. Martin Hall, 4298 Campus Dr., College Park, MD 20742, USA
| | - Talissa Altes
- Department of Radiology, University of Missouri, University Hospital, One Hospital Dr., Columbia, MO 65212, USA
| | - Kai Ruppert
- Department of Radiology, University of Pennsylvania, 3400 Spruce St., Philadelphia, PA 19104, USA
| | - Jaques Reifman
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, FCMR-TT, 504 Scott St., Fort Detrick, MD 21702, USA.
| | - Anders Wallqvist
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, FCMR-TT, 504 Scott St., Fort Detrick, MD 21702, USA
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18
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Affiliation(s)
- Bartolomé R Celli
- From the Pulmonary and Critical Care Division, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (B.R.C.); and the National Heart and Lung Institute, Imperial College London, London (J.A.W.)
| | - Jadwiga A Wedzicha
- From the Pulmonary and Critical Care Division, Brigham and Women's Hospital, and Harvard Medical School - both in Boston (B.R.C.); and the National Heart and Lung Institute, Imperial College London, London (J.A.W.)
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19
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Everaerts S, McDonough JE, Verleden SE, Josipovic I, Boone M, Dubbeldam A, Mathyssen C, Serré J, Dupont LJ, Gayan-Ramirez G, Verschakelen J, Hogg JC, Verleden GM, Vanaudenaerde BM, Janssens W. Airway morphometry in COPD with bronchiectasis: a view on all airway generations. Eur Respir J 2019; 54:13993003.02166-2018. [DOI: 10.1183/13993003.02166-2018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 08/03/2019] [Indexed: 11/05/2022]
Abstract
The pathophysiological processes underlying bronchiectasis in chronic obstructive pulmonary disease (COPD) are not understood. In COPD, both small and large airways are progressively lost. It is currently not known to what extent the different airway generations of patients with COPD and bronchiectasis are involved.COPD explant lungs with bronchiectasis were compared to COPD explant lungs without bronchiectasis and unused donor lungs as controls. In order to investigate all airway generations, a multimodal imaging approach using different resolutions was conducted. Per group, five lungs were frozen (n=15) and underwent computed tomography (CT) imaging for large airway evaluation, with four tissue cores per lung imaged for measurements of the terminal bronchioles. Two additional lungs per group (n=6) were air-dried for lobar microCT images that allow airway segmentation and three-dimensional quantification of the complete airway tree.COPD lungs with bronchiectasis had significantly more airways compared to COPD lungs without bronchiectasis (p<0.001), with large airway numbers similar to control lungs. This difference was present in both upper and lower lobes. Lack of tapering was present (p=0.010) and larger diameters were demonstrated in lower lobes with bronchiectasis (p=0.010). MicroCT analysis of tissue cores showed similar reductions of tissue percentage, surface density and number of terminal bronchioles in both COPD groups compared to control lungs.Although terminal bronchioles were equally reduced in COPD lungs with and without bronchiectasis, significantly more large and small airways were found in COPD lungs with bronchiectasis.
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20
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Diffuse smoking-related lung diseases: insights from a radiologic-pathologic correlation. Insights Imaging 2019; 10:73. [PMID: 31312909 PMCID: PMC6635572 DOI: 10.1186/s13244-019-0765-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Accepted: 07/02/2019] [Indexed: 01/12/2023] Open
Abstract
Cigarettes are well-recognized risk factors responsible for the emergence of a variety of pathologic conditions affecting both the airways and the lungs. Smoking-related lung diseases can be classified as chronic obstructive pulmonary disease (COPD) and several types of interstitial diseases, such as pulmonary Langerhans cell histiocytosis, bronchiolitis, desquamative interstitial pneumonitis, acute eosinophilic pneumonia, and interstitial fibrosing lung diseases. The evidence of combined lower lung fibrosis and predominant upper lung emphysema is renowned as a distinct clinical entity, named combined pulmonary fibrosis and emphysema. Although computerized tomography permits an adequate classification and distinction of these diseases, the clinical, imaging, and histological features often overlap and coexist in a single patient. Therefore, a combined radiologic and pathologic approach, in the appropriate clinical setting, is useful for best comprehension and distinction of these entities. Our goals are to describe the imaging features in smoking-related lung diseases and how the pathological manifestations translate on high-resolution computerized tomography.
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21
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Díaz AA. The Case of Missing Airways in Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2019; 197:4-6. [PMID: 28930479 DOI: 10.1164/rccm.201708-1585ed] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Alejandro A Díaz
- 1 Brigham and Women's Hospital Harvard Medical School Boston, Massachusetts
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22
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Tanabe N, Sato S, Oguma T, Shima H, Sato A, Muro S, Hirai T. Associations of airway tree to lung volume ratio on computed tomography with lung function and symptoms in chronic obstructive pulmonary disease. Respir Res 2019; 20:77. [PMID: 30999912 PMCID: PMC6471860 DOI: 10.1186/s12931-019-1047-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Accepted: 04/08/2019] [Indexed: 01/06/2023] Open
Abstract
Background Decreased airway lumen size and increased lung volume are major structural changes in chronic obstructive pulmonary disease (COPD). However, even though the outer wall of the airways is connected with lung parenchyma and the mechanical properties of the parenchyma affect the behaviour of the airways, little is known about the interactions between airway and lung sizes on lung function and symptoms. The present study examined these effects by establishing a novel computed tomography (CT) index, namely, airway volume percent (AWV%), which was defined as a percentage ratio of the airway tree to lung volume. Methods Inspiratory chest CT, pulmonary function, and COPD Assessment Tests (CAT) were analysed in 147 stable males with COPD. The whole airway tree was automatically segmented, and the percentage ratio of the airway tree volume in the right upper and middle-lower lobes to right lung volume was calculated as the AWV% for right lung. Low attenuation volume % (LAV%), total airway count (TAC), luminal area (Ai), and wall area percent (WA%) were also measured. Results AWV% decreased as the Global Initiative for Chronic Obstructive Lung Disease (GOLD) spirometric grade increased (p < 0.0001). AWV% was lower in symptomatic (CAT score ≥ 10) subjects than in non-symptomatic subjects (p = 0.036). AWV% was more closely correlated with forced expiratory volume in 1 s (FEV1) and ratio of residual volume to total lung capacity (RV/TLC) than Ai, Ai to lung volume ratio, and volume of either the lung or the airway tree. Multivariate analyses showed that lower AWV% was associated with lower FEV1 and higher RV/TLC, independent of LAV%, WA%, and TAC. Conclusions A disproportionally small airway tree with a relatively large lung could lead to airflow obstruction and gas trapping in COPD. AWV% is an easily measured CT biomarker that may elucidate the clinical impacts of the airway-lung interaction in COPD. Electronic supplementary material The online version of this article (10.1186/s12931-019-1047-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Hiroshi Shima
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Shigeo Muro
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
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23
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Kirby M, Tanabe N, Tan WC, Zhou G, Obeidat M, Hague CJ, Leipsic J, Bourbeau J, Sin DD, Hogg JC, Coxson HO. Total Airway Count on Computed Tomography and the Risk of Chronic Obstructive Pulmonary Disease Progression. Findings from a Population-based Study. Am J Respir Crit Care Med 2019; 197:56-65. [PMID: 28886252 DOI: 10.1164/rccm.201704-0692oc] [Citation(s) in RCA: 121] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Studies of excised lungs show that significant airway attrition in the "quiet" zone occurs early in chronic obstructive pulmonary disease (COPD). OBJECTIVES To determine if the total number of airways quantified in vivo using computed tomography (CT) reflects early airway-related disease changes and is associated with lung function decline independent of emphysema in COPD. METHODS Participants in the multicenter, population-based, longitudinal CanCOLD (Canadian Chronic Obstructive Lung Disease) study underwent inspiratory/expiratory CT at visit 1; spirometry was performed at four visits over 6 years. Emphysema was quantified as the CT inspiratory low-attenuation areas below -950 Hounsfield units. CT total airway count (TAC) was measured as well as airway inner diameter and wall area using anatomically equivalent airways. MEASUREMENTS AND MAIN RESULTS Participants included never-smokers (n = 286), smokers with normal spirometry at risk for COPD (n = 298), Global Initiative for Chronic Obstructive Lung Disease (GOLD) I COPD (n = 361), and GOLD II COPD (n = 239). TAC was significantly reduced by 19% in both GOLD I and GOLD II compared with never-smokers (P < 0.0001) and by 17% in both GOLD I and GOLD II compared with at-risk participants (P < 0.0001) after adjusting for low-attenuation areas below -950 Hounsfield units. Further analysis revealed parent airways with missing daughter branches had reduced inner diameters (P < 0.0001) and thinner walls (P < 0.0001) compared with those without missing daughter branches. Among all CT measures, TAC had the greatest influence on FEV1 (P < 0.0001), FEV1/FVC (P < 0.0001), and bronchodilator responsiveness (P < 0.0001). TAC was independently associated with lung function decline (FEV1, P = 0.02; FEV1/FVC, P = 0.01). CONCLUSIONS TAC may reflect the airway-related disease changes that accumulate in the "quiet" zone in early/mild COPD, indicating that TAC acquired with commercially available software across various CT platforms may be a biomarker to predict accelerated COPD progression.
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Affiliation(s)
- Miranda Kirby
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada.,2 Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Naoya Tanabe
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Wan C Tan
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Guohai Zhou
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Ma'en Obeidat
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Cameron J Hague
- 2 Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jonathon Leipsic
- 2 Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jean Bourbeau
- 3 The Montreal Chest Institute, Royal Victoria Hospital, McGill University Health Centre, Montreal, Quebec, Canada; and.,4 Respiratory Epidemiology and Clinical Research Unit, McGill University, Montreal, Quebec, Canada
| | - Don D Sin
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - James C Hogg
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Harvey O Coxson
- 1 The University of British Columbia Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada.,2 Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
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24
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Morrow JD, Chase RP, Parker MM, Glass K, Seo M, Divo M, Owen CA, Castaldi P, DeMeo DL, Silverman EK, Hersh CP. RNA-sequencing across three matched tissues reveals shared and tissue-specific gene expression and pathway signatures of COPD. Respir Res 2019; 20:65. [PMID: 30940135 PMCID: PMC6446359 DOI: 10.1186/s12931-019-1032-z] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Accepted: 03/25/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Multiple gene expression studies have been performed separately in peripheral blood, lung, and airway tissues to study COPD. We performed RNA-sequencing gene expression profiling of large-airway epithelium, alveolar macrophage and peripheral blood samples from the same subset of COPD cases and controls from the COPDGene study who underwent bronchoscopy at a single center. Using statistical and gene set enrichment approaches, we sought to improve the understanding of COPD by studying gene sets and pathways across these tissues, beyond the individual genomic determinants. METHODS We performed differential expression analysis using RNA-seq data obtained from 63 samples from 21 COPD cases and controls (includes four non-smokers) via the R package DESeq2. We tested associations between gene expression and variables related to lung function, smoking history, and CT scan measures of emphysema and airway disease. We examined the correlation of differential gene expression across the tissues and phenotypes, hypothesizing that this would reveal preserved and private gene expression signatures. We performed gene set enrichment analyses using curated databases and findings from prior COPD studies to provide biological and disease relevance. RESULTS The known smoking-related genes CYP1B1 and AHRR were among the top differential expression results for smoking status in the large-airway epithelium data. We observed a significant overlap of genes primarily across large-airway and macrophage results for smoking and airway disease phenotypes. We did not observe specific genes differentially expressed in all three tissues for any of the phenotypes. However, we did observe hemostasis and immune signaling pathways in the overlaps across all three tissues for emphysema, and amyloid and telomere-related pathways for smoking. In peripheral blood, the emphysema results were enriched for B cell related genes previously identified in lung tissue studies. CONCLUSIONS Our integrative analyses across COPD-relevant tissues and prior studies revealed shared and tissue-specific disease biology. These replicated and novel findings in the airway and peripheral blood have highlighted candidate genes and pathways for COPD pathogenesis.
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Affiliation(s)
- Jarrett D Morrow
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.
| | - Robert P Chase
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Kimberly Glass
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Minseok Seo
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Miguel Divo
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Caroline A Owen
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Peter Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
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25
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Bodduluri S, Puliyakote ASK, Gerard SE, Reinhardt JM, Hoffman EA, Newell JD, Nath HP, Han MK, Washko GR, San José Estépar R, Dransfield MT, Bhatt SP. Airway fractal dimension predicts respiratory morbidity and mortality in COPD. J Clin Invest 2018; 128:5374-5382. [PMID: 30256767 DOI: 10.1172/jci120693] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 09/11/2018] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is characterized by airway remodeling. Characterization of airway changes on computed tomography has been challenging due to the complexity of the recurring branching patterns, and this can be better measured using fractal dimensions. METHODS We analyzed segmented airway trees of 8,135 participants enrolled in the COPDGene cohort. The fractal complexity of the segmented airway tree was measured by the Airway Fractal Dimension (AFD) using the Minkowski-Bougliand box-counting dimension. We examined associations between AFD and lung function and respiratory morbidity using multivariable regression analyses. We further estimated the extent of peribronchial emphysema (%) within 5 mm of the airway tree, as this is likely to affect AFD. We classified participants into 4 groups based on median AFD, percentage of peribronchial emphysema, and estimated survival. RESULTS AFD was significantly associated with forced expiratory volume in one second (FEV1; P < 0.001) and FEV1/forced vital capacity (FEV1/FVC; P < 0.001) after adjusting for age, race, sex, smoking status, pack-years of smoking, BMI, CT emphysema, air trapping, airway thickness, and CT scanner type. On multivariable analysis, AFD was also associated with respiratory quality of life and 6-minute walk distance, as well as exacerbations, lung function decline, and mortality on longitudinal follow-up. We identified a subset of participants with AFD below the median and peribronchial emphysema above the median who had worse survival compared with participants with high AFD and low peribronchial emphysema (adjusted hazards ratio [HR]: 2.72; 95% CI: 2.20-3.35; P < 0.001), a substantial number of whom were not identified by traditional spirometry severity grades. CONCLUSION Airway fractal dimension as a measure of airway branching complexity and remodeling in smokers is associated with respiratory morbidity and lung function change, offers prognostic information additional to traditional CT measures of airway wall thickness, and can be used to estimate mortality risk. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT00608764. FUNDING This study was supported by NIH K23 HL133438 (SPB) and the COPDGene study (NIH Grant Numbers R01 HL089897 and R01 HL089856). The COPDGene project is also supported by the COPD Foundation through contributions made to an Industry Advisory Board comprised of AstraZeneca, Boehringer Ingelheim, Novartis, Pfizer, Siemens, Sunovion and GlaxoSmithKline.
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Affiliation(s)
- Sandeep Bodduluri
- Division of Pulmonary, Allergy and Critical Care Medicine.,UAB Lung Imaging Core, and.,UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | - Sarah E Gerard
- Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
| | - Joseph M Reinhardt
- Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
| | - Eric A Hoffman
- Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA.,Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - John D Newell
- Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA.,Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Hrudaya P Nath
- UAB Lung Imaging Core, and.,Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mark T Dransfield
- Division of Pulmonary, Allergy and Critical Care Medicine.,UAB Lung Imaging Core, and.,UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Surya P Bhatt
- Division of Pulmonary, Allergy and Critical Care Medicine.,UAB Lung Imaging Core, and.,UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
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- The COPDGene Investigators are detailed in the Supplemental Acknowledgments
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26
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Kawamoto T, Kanazawa H, Tochino Y, Kawaguchi T. Evaluation of the severity of small airways obstruction and alveolar destruction in chronic obstructive pulmonary disease. Respir Med 2018; 141:159-164. [PMID: 30053962 DOI: 10.1016/j.rmed.2018.07.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 07/05/2018] [Indexed: 12/15/2022]
Abstract
BACKGROUND Airflow limitation in COPD is caused by a mixture of small airways obstruction and alveolar destruction. OBJECTIVE To evaluate the contributions of these factors to airflow limitation through measurement of two biomarkers, pentosidine and vascular endothelial growth factor (VEGF), which reflect pathology or function of the lower respiratory tract of COPD. METHODS We measured pentosidine and VEGF levels in induced sputum from 23 non-smokers, 26 smokers without COPD, and 43 smokers with COPD. We evaluated the correlations of two biomarkers levels with the grade of low attenuation area (LAA) in high-resolution computed tomographic scans and the Δ N2 from the nitrogen washout curve. RESULTS Pentosidine levels were significantly higher in smokers with COPD than in non-smokers and smokers without COPD. In contrast, VEGF levels were significantly lower in smokers without COPD than in non-smokers, and further decreased in smokers with COPD. In the four-stage classification of LAA grading, pentosidine levels steeply increased from grade I to Ⅳ, while VEGF levels decreased with increasing severity of LAA grade. Pentosidine levels were positively correlated with Δ N2 in COPD patients with mild emphysema. In contrast, VEGF levels were inversely correlated with Δ N2 in COPD patients with severe emphysema. CONCLUSION Pentosidine level is responsible for the severity of small airways obstruction, while VEGF level reflects the magnitude of alveolar destruction. Thus, simultaneous measurement of pentosidine and VEGF levels may be a promising approach to discriminate the severity of small airways obstruction and alveolar destruction in the lower respiratory tract of COPD.
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Affiliation(s)
- Tamaki Kawamoto
- Department of Respiratory Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Hiroshi Kanazawa
- Department of Respiratory Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan.
| | - Yoshihiro Tochino
- Department of Respiratory Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Tomoya Kawaguchi
- Department of Respiratory Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
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27
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Crossley D, Renton M, Khan M, Low EV, Turner AM. CT densitometry in emphysema: a systematic review of its clinical utility. Int J Chron Obstruct Pulmon Dis 2018; 13:547-563. [PMID: 29445272 PMCID: PMC5808715 DOI: 10.2147/copd.s143066] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The aim of the study was to assess the relationship between computed tomography (CT) densitometry and routine clinical markers in patients with chronic obstructive pulmonary disease (COPD) and alpha-1 anti-trypsin deficiency (AATD). METHODS Multiple databases were searched using a combination of pertinent terms and those articles relating quantitatively measured CT densitometry to clinical outcomes. Studies that used visual scoring only were excluded, as were those measured in expiration only. A thorough review of abstracts and full manuscripts was conducted by 2 reviewers; data extraction and assessment of bias was conducted by 1 reviewer and the 4 reviewers independently assessed for quality. Pooled correlation coefficients were calculated, and heterogeneity was explored. RESULTS A total of 112 studies were identified, 82 being suitable for meta-analysis. The most commonly used density threshold was -950 HU, and a significant association between CT density and all included clinical parameters was demonstrated. There was marked heterogeneity between studies secondary to large variety of disease severity within commonly included cohorts and differences in CT acquisition parameters. CONCLUSION CT density shows a good relationship to clinically relevant parameters; however, study heterogeneity and lack of longitudinal data mean that it is difficult to compare studies or derive a minimal clinically important difference. We recommend that international consensus is reached to standardize CT conduct and analysis in future COPD and AATD studies.
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Affiliation(s)
- Diana Crossley
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Correspondence: Diana Crossley, Institute of Inflammation and Ageing, Queen Elizabeth Hospital, Mindelsohn Way, Edgbaston, Birmingham, B15 2TH, UK, Tel +44 121 371 3885, Fax +44 121 371 3203, Email
| | - Mary Renton
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Muhammad Khan
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Emma V Low
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Alice M Turner
- Institute of Applied Health Sciences, University of Birmingham, Birmingham, UK
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28
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Lessard E, Young HM, Bhalla A, Pike D, Sheikh K, McCormack DG, Ouriadov A, Parraga G. Pulmonary 3He Magnetic Resonance Imaging Biomarkers of Regional Airspace Enlargement in Alpha-1 Antitrypsin Deficiency. Acad Radiol 2017. [PMID: 28645458 DOI: 10.1016/j.acra.2017.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
RATIONALE AND OBJECTIVES Thoracic x-ray computed tomography (CT) and hyperpolarized 3He magnetic resonance imaging (MRI) provide quantitative measurements of airspace enlargement in patients with emphysema. For patients with panlobular emphysema due to alpha-1 antitrypsin deficiency (AATD), sensitive biomarkers of disease progression and response to therapy have been difficult to develop and exploit, especially those biomarkers that correlate with outcomes like quality of life. Here, our objective was to generate and compare CT and diffusion-weighted inhaled-gas MRI measurements of emphysema including apparent diffusion coefficient (ADC) and MRI-derived mean linear intercept (Lm) in patients with AATD, chronic obstructive pulmonary disease (COPD) ex-smokers, and elderly never-smokers. MATERIALS AND METHODS We enrolled patients with AATD (n = 8; 57 ± 7 years), ex-smokers with COPD (n = 8; 77 ± 6 years), and a control group of never-smokers (n = 5; 64 ± 2 years) who underwent thoracic CT, MRI, spirometry, plethysmography, the St. George's Respiratory Questionnaire, and the 6-minute walk test during a single 2-hour visit. MRI-derived ADC, Lm, surface-to-volume ratio, and ventilation defect percent were generated for the apical, basal, and whole lung as was CT lung area ≤-950 Hounsfield units (RA950), low attenuating clusters, and airway count. RESULTS In patients with AATD, there was a significantly different MRI-derived ADC (P = .03), Lm (P < .0001), and surface-to-volume ratio (P < .0001), but not diffusing capacity of carbon monoxide, residual volume or total lung capacity, or CT RA950 (P > .05) compared to COPD ex-smokers with a significantly different St. George's Respiratory Questionnaire. CONCLUSIONS In this proof-of-concept demonstration, we evaluated CT and MRI lung emphysema measurements and observed significantly worse MRI biomarkers of emphysema in patients with AATD compared to patients with COPD, although CT RA950 and diffusing capacity of carbon monoxide were not significantly different, underscoring the sensitivity of MRI measurements of AATD emphysema.
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Affiliation(s)
- Eric Lessard
- Robarts Research Institute, 1151 Richmond Street North, London, ON, Canada N6A 5B7; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond St North, London, ON, Canada N6A 5C1
| | - Heather M Young
- Robarts Research Institute, 1151 Richmond Street North, London, ON, Canada N6A 5B7; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond St North, London, ON, Canada N6A 5C1
| | - Anurag Bhalla
- Robarts Research Institute, 1151 Richmond Street North, London, ON, Canada N6A 5B7
| | - Damien Pike
- Robarts Research Institute, 1151 Richmond Street North, London, ON, Canada N6A 5B7; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond St North, London, ON, Canada N6A 5C1
| | - Khadija Sheikh
- Robarts Research Institute, 1151 Richmond Street North, London, ON, Canada N6A 5B7; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond St North, London, ON, Canada N6A 5C1
| | - David G McCormack
- Division of Respirology, Department of Medicine, The University of Western Ontario, London, Ontario, Canada
| | - Alexei Ouriadov
- Robarts Research Institute, 1151 Richmond Street North, London, ON, Canada N6A 5B7; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond St North, London, ON, Canada N6A 5C1
| | - Grace Parraga
- Robarts Research Institute, 1151 Richmond Street North, London, ON, Canada N6A 5B7; Department of Medical Biophysics, The University of Western Ontario, 1151 Richmond St North, London, ON, Canada N6A 5C1.
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29
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Diaz AA, Rahaghi FN, Doyle TJ, Young TP, Maclean ES, Martinez CH, San José Estépar R, Guerra S, Tesfaigzi Y, Rosas IO, Washko GR, Wilson DO. Differences in Respiratory Symptoms and Lung Structure Between Hispanic and Non-Hispanic White Smokers: A Comparative Study. CHRONIC OBSTRUCTIVE PULMONARY DISEASES-JOURNAL OF THE COPD FOUNDATION 2017; 4:297-304. [PMID: 29354674 DOI: 10.15326/jcopdf.4.4.2017.0150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Background: Prior studies have demonstrated that U.S. Hispanic smokers have a lower risk of decline in lung function and chronic obstructive pulmonary disease (COPD) compared with non-Hispanic whites (NHW). This suggests there might be racial-ethnic differences in susceptibility in cigarette smoke-induced respiratory symptoms, lung parenchymal destruction, and airway and vascular disease, as well as in extra-pulmonary manifestations of COPD. Therefore, we aimed to explore respiratory symptoms, lung function, and pulmonary and extra-pulmonary structural changes in Hispanic and NHW smokers. Methods: We compared respiratory symptoms, lung function, and computed tomography (CT) measures of emphysema-like tissue, airway disease, the branching generation number (BGN) to reach a 2-mm-lumen-diameter airway, and vascular pruning as well as muscle and fat mass between 39 Hispanic and 39 sex-, age- and smoking exposure-matched NHW smokers. Results: Hispanic smokers had higher odds of dyspnea than NHW after adjustment for COPD and asthma statuses (odds ratio[OR] = 2.96; 95% confidence interval [CI] 1.09-8.04), but no significant differences were found in lung function and CT measurements. Conclusions: While lung function and CT measures of the lung structure were similar, dyspnea is reported more frequently by Hispanic than matched-NHW smokers. It seems to be an impossible puzzle but it's easy to solve a Rubik' Cube using a few algorithms.
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Affiliation(s)
- Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Farbod N Rahaghi
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Tracy J Doyle
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Thomas P Young
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Erick S Maclean
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carlos H Martinez
- Division of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor
| | - Raul San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Stefano Guerra
- Asthma and Airway Disease Research Center and Department of Medicine, University of Arizona, Tucson; and ISGlobal CREAL and Pompeu Fabra University, Barcelona, Spain
| | | | - Ivan O Rosas
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - David O Wilson
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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30
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Schivo M, Albertson TE, Haczku A, Kenyon NJ, Zeki AA, Kuhn BT, Louie S, Avdalovic MV. Paradigms in chronic obstructive pulmonary disease: phenotypes, immunobiology, and therapy with a focus on vascular disease. J Investig Med 2017; 65:953-963. [PMID: 28258130 DOI: 10.1136/jim-2016-000358] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2017] [Indexed: 12/21/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous syndrome that represents a major global health burden. COPD phenotypes have recently emerged based on large cohort studies addressing the need to better characterize the syndrome. Though comprehensive phenotyping is still at an early stage, factors such as ethnicity and radiographic, serum, and exhaled breath biomarkers have shown promise. COPD is also an immunological disease where innate and adaptive immune responses to the environment and tobacco smoke are altered. The frequent overlap between COPD and other systemic diseases, such as cardiovascular disease, has influenced COPD therapy, and treatments for both conditions may lead to improved patient outcomes. Here, we discuss current paradigms that center on improving the definition of COPD, understanding the immunological overlap between COPD and vascular inflammation, and the treatment of COPD-with a focus on comorbid cardiovascular disease.
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Affiliation(s)
- Michael Schivo
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.,Center for Comparative Respiratory Biology and Medicine, Genome and Biomedical Sciences Facility, University of California Davis, Davis, California, USA
| | - Timothy E Albertson
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.,Department of Medicine, Veterans Administration Northern California Healthcare System, Mather, California, USA
| | - Angela Haczku
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.,Center for Comparative Respiratory Biology and Medicine, Genome and Biomedical Sciences Facility, University of California Davis, Davis, California, USA
| | - Nicholas J Kenyon
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.,Center for Comparative Respiratory Biology and Medicine, Genome and Biomedical Sciences Facility, University of California Davis, Davis, California, USA
| | - Amir A Zeki
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.,Center for Comparative Respiratory Biology and Medicine, Genome and Biomedical Sciences Facility, University of California Davis, Davis, California, USA
| | - Brooks T Kuhn
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA
| | - Samuel Louie
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.,Center for Comparative Respiratory Biology and Medicine, Genome and Biomedical Sciences Facility, University of California Davis, Davis, California, USA
| | - Mark V Avdalovic
- Department of Internal Medicine, University of California Davis School of Medicine, Sacramento, California, USA.,Department of Medicine, Veterans Administration Northern California Healthcare System, Mather, California, USA
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Emphysema Distribution and Diffusion Capacity Predict Emphysema Progression in Human Immunodeficiency Virus Infection. PLoS One 2016; 11:e0167247. [PMID: 27902753 PMCID: PMC5130231 DOI: 10.1371/journal.pone.0167247] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 11/10/2016] [Indexed: 11/25/2022] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) and emphysema are common amongst patients with human immunodeficiency virus (HIV). We sought to determine the clinical factors that are associated with emphysema progression in HIV. Methods 345 HIV-infected patients enrolled in an outpatient HIV metabolic clinic with ≥2 chest computed tomography scans made up the study cohort. Images were qualitatively scored for emphysema based on percentage involvement of the lung. Emphysema progression was defined as any increase in emphysema score over the study period. Univariate analyses of clinical, respiratory, and laboratory data, as well as multivariable logistic regression models, were performed to determine clinical features significantly associated with emphysema progression. Results 17.4% of the cohort were emphysema progressors. Emphysema progression was most strongly associated with having a low baseline diffusion capacity of carbon monoxide (DLCO) and having combination centrilobular and paraseptal emphysema distribution. In adjusted models, the odds ratio (OR) for emphysema progression for every 10% increase in DLCO percent predicted was 0.58 (95% confidence interval [CI] 0.41–0.81). The equivalent OR (95% CI) for centrilobular and paraseptal emphysema distribution was 10.60 (2.93–48.98). Together, these variables had an area under the curve (AUC) statistic of 0.85 for predicting emphysema progression. This was an improvement over the performance of spirometry (forced expiratory volume in 1 second to forced vital capacity ratio), which predicted emphysema progression with an AUC of only 0.65. Conclusion Combined paraseptal and centrilobular emphysema distribution and low DLCO could identify HIV patients who may experience emphysema progression.
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Diaz AA, Young TP, Maselli DJ, Martinez CH, Gill R, Nardelli P, Wang W, Kinney GL, Hokanson JE, Washko GR, San Jose Estepar R. Quantitative CT Measures of Bronchiectasis in Smokers. Chest 2016; 151:1255-1262. [PMID: 27890712 DOI: 10.1016/j.chest.2016.11.024] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 10/09/2016] [Accepted: 11/08/2016] [Indexed: 10/20/2022] Open
Abstract
BACKGROUND Bronchiectasis is frequent in smokers with COPD; however, there are only limited data on objective assessments of this process. The objective was to assess bronchovascular morphology, calculate the ratio of the diameters of bronchial lumen and adjacent artery (BA ratio), and identify those measurements able to discriminate bronchiectasis. METHODS We collected quantitative CT (QCT) measures of BA ratios, peak wall attenuation, wall thickness (WT), wall area, and wall area percent (WA%) at matched fourth through sixth airway generations in 21 ever smokers with bronchiectasis (cases) and 21 never-smoking control patients (control airways). In cases, measurements were collected at both bronchiectatic and nonbronchiectatic airways. Logistic analysis and the area under receiver operating characteristic curve (AUC) were used to assess the predictive ability of QCT measurements for bronchiectasis. RESULTS The whole-lung and fourth through sixth airway generation BA ratio, WT, and WA% were significantly greater in bronchiectasis cases than control patients. The AUCs for the BA ratio to predict bronchiectasis ranged from 0.90 (whole lung) to 0.79 (fourth-generation). AUCs for WT and WA% ranged from 0.72 to 0.75 and from 0.71 to 0.75. The artery diameters but not bronchial diameters were smaller in bronchiectatic than both nonbronchiectatic and control airways (P < .01 for both). CONCLUSIONS Smoking-related increases in the BA ratio appear to be driven by reductions in vascular caliber. QCT measures of BA ratio, WT, and WA% may be useful to objectively identify and quantify bronchiectasis in smokers. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT00608764; URL: www.clinicaltrials.gov.
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Affiliation(s)
- Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
| | - Thomas P Young
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Diego J Maselli
- Division of Pulmonary Diseases & Critical Care, University of Texas Health Science Center, San Antonio, TX
| | - Carlos H Martinez
- Division of Pulmonary & Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI
| | - Ritu Gill
- Division of Sleep Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Pietro Nardelli
- Division of Sleep Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Wei Wang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Gregory L Kinney
- Colorado School of Public Health, University of Colorado-Denver, Aurora, CO
| | - John E Hokanson
- Colorado School of Public Health, University of Colorado-Denver, Aurora, CO
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Raul San Jose Estepar
- Division of Sleep Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Diaz AA, Young TP, Maselli DJ, Martinez CH, Maclean ES, Yen A, Dass C, Simpson SA, Lynch DA, Kinney GL, Hokanson JE, Washko GR, San José Estépar R. Bronchoarterial ratio in never-smokers adults: Implications for bronchial dilation definition. Respirology 2016; 22:108-113. [PMID: 27538197 DOI: 10.1111/resp.12875] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Revised: 05/31/2016] [Accepted: 06/17/2016] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND OBJECTIVE Bronchiectasis manifests as recurrent respiratory infections and reduced lung function. Airway dilation, which is measured as the ratio of the diameters of the bronchial lumen (B) and adjacent pulmonary artery (A), is a defining radiological feature of bronchiectasis. A challenge to equating the bronchoarterial (BA) ratio to disease severity is that the diameters of airway and vessel in health are not established. We sought to explore the variability of BA ratio in never-smokers without pulmonary disease and its associations with lung function. METHODS Objective measurements of the BA ratio on volumetric computed tomography (CT) scans and pulmonary function data were collected in 106 never-smokers. The BA ratio was measured in the right upper lobe apical bronchus (RB1) and the right lower lobe basal posterior bronchus. The association between the BA ratio and forced expiratory volume in 1 s (FEV1 ) was assessed using regression analysis. RESULTS The BA ratio was 0.79 ± 0.16 and was smaller in more peripheral RB1 bronchi (P < 0.0001). The BA ratio was >1, a typical threshold for bronchiectasis, in 10 (8.5%) subjects. Subjects with a BA ratio >1 versus ≤1 had smaller artery diameters (P < 0.0001) but not significantly larger bronchial lumens. After adjusting for age, gender, race and height, the BA ratio was directly related to FEV1 (P = 0.0007). CONCLUSION In never-smokers, the BA ratio varies by airway generation and is associated with lung function. A BA ratio >1 is driven by small arteries. Using artery diameter as reference to define bronchial dilation seems inappropriate.
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Affiliation(s)
- Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Thomas P Young
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Diego J Maselli
- Division of Pulmonary Diseases & Critical Care, University of Texas Health Science Center, San Antonio, Texas, USA
| | - Carlos H Martinez
- Division of Pulmonary & Critical Care Medicine, University of Michigan Health System, Ann Arbor, Michigan, USA
| | - Erick S Maclean
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Yen
- Department of Radiology, University of California, San Diego, California, USA
| | - Chandra Dass
- Department of Radiology, Temple University Hospital, Philadelphia, Pennsylvania, USA
| | - Scott A Simpson
- Department of Radiology, Temple University Hospital, Philadelphia, Pennsylvania, USA
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, Colorado, USA
| | - Gregory L Kinney
- Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA
| | - John E Hokanson
- Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Raul San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Regional Emphysema of a Non-Small Cell Tumor Is Associated with Larger Tumors and Decreased Survival Rates. Ann Am Thorac Soc 2016; 12:1197-205. [PMID: 26039412 DOI: 10.1513/annalsats.201411-539oc] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
RATIONALE Chronic obstructive pulmonary disease is associated with a worse overall survival in non-small cell lung cancer. Lung emphysema is one component of chronic obstructive pulmonary disease. We hypothesized that emphysema of the tumor region may result in larger tumors and a poorer overall survival. METHODS We evaluated 304 cases of non-small cell lung cancer from a prospectively enrolled cohort. The lung was divided into equal volumetric thirds (upper, middle, or lower region). Emphysema was defined as percentage of low-attenuation areas less than -950 Hounsfield units (%LAA-950) and measured for each region. Whole-lung %LAA-950 was defined as the emphysema score of the entire lung parenchyma, whereas regional %LAA-950 was the score within that particular region (upper, middle, or lower). The emphysema score of the region in which the tumor occurred was defined as the tumor %LAA-950. Tumor diameter was measured while blinded to characteristics of the lung parenchyma. A proportional hazards model was used to control for multiple factors associated with survival. MEASUREMENTS AND MAIN RESULTS Increasing tumor %LAA-950 was associated with larger tumors (P = 0.024). Survival, stratified by stage, was significantly worse in those with tumor %LAA-950 greater than or equal to the 50th percentile versus less than the 50th percentile (P = 0.046). Whole-lung %LAA-950 and regional %LAA-950 (e.g., regional emphysema without tumor occurring in the region) were not significantly associated with survival. There were no differences in presenting symptoms or locations of mediastinal or distant metastasis by emphysema score. Increasing tumor %LAA-950 was associated with an increased risk of death (adjusted hazard ratio, 1.36; confidence interval, 1.09-1.68; P = 0.006) after adjustment for age, sex, smoking status, histology, stage, performance status, chemotherapy, radiation, and surgery. Sensitivity analyses revealed no significant difference in the effect size or test of significance for each of the following conditions: (1) exclusion of cases with central tumor location, (2) exclusion of cases where surgery was performed, (3) exclusion of cases where radiation therapy was performed, (4) exclusion of cases where epidermal growth factor receptor tyrosine kinase inhibitors were administered, and (5) inclusion of only stage IV disease. CONCLUSIONS Increasing emphysema of the region in which a non-small cell lung cancer tumor occurs is associated with increasing tumor size and worse overall survival.
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Ostridge K, Wilkinson TMA. Present and future utility of computed tomography scanning in the assessment and management of COPD. Eur Respir J 2016; 48:216-28. [PMID: 27230448 DOI: 10.1183/13993003.00041-2016] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Accepted: 03/21/2016] [Indexed: 01/08/2023]
Abstract
Computed tomography (CT) is the modality of choice for imaging the thorax and lung structure. In chronic obstructive pulmonary disease (COPD), it used to recognise the key morphological features of emphysema, bronchial wall thickening and gas trapping. Despite this, its place in the investigation and management of COPD is yet to be determined, and it is not routinely recommended. However, lung CT already has important clinical applications where it can be used to diagnose concomitant pathology and determine which patients with severe emphysema are appropriate for lung volume reduction procedures. Furthermore, novel quantitative analysis techniques permit objective measurements of pulmonary and extrapulmonary manifestations of the disease. These techniques can give important insights into COPD, and help explore the heterogeneity and underlying mechanisms of the condition. In time, it is hoped that these techniques can be used in clinical trials to help develop disease-specific therapy and, ultimately, as a clinical tool in identifying patients who would benefit most from new and existing treatments. This review discusses the current clinical applications for CT imaging in COPD and quantification techniques, and its potential future role in stratifying disease for optimal outcome.
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Affiliation(s)
- Kristoffer Ostridge
- Southampton NIHR Respiratory Biomedical Research Unit, Southampton General Hospital, Southampton, UK Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK
| | - Tom M A Wilkinson
- Southampton NIHR Respiratory Biomedical Research Unit, Southampton General Hospital, Southampton, UK Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK
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Kinsey CM, San José Estépar R, van der Velden J, Cole BF, Christiani DC, Washko GR. Lower Pectoralis Muscle Area Is Associated with a Worse Overall Survival in Non-Small Cell Lung Cancer. Cancer Epidemiol Biomarkers Prev 2016; 26:38-43. [PMID: 27197281 DOI: 10.1158/1055-9965.epi-15-1067] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 04/18/2016] [Accepted: 05/10/2016] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Muscle wasting is a component of the diagnosis of cancer cachexia and has been associated with poor prognosis. However, recommended tools to measure sarcopenia are limited by poor sensitivity or the need to perform additional scans. We hypothesized that pectoralis muscle area (PMA) measured objectively on chest CT scan may be associated with overall survival (OS) in non-small cell lung cancer (NSCLC). METHODS We evaluated 252 cases from a prospectively enrolling lung cancer cohort. Eligible cases had CT scans performed prior to the initiation of surgery, radiation, or chemotherapy. PMA was measured in a semi-automated fashion while blinded to characteristics of the tumor, lung, and patient outcomes. RESULTS Men had a significantly greater PMA than women (37.59 vs. 26.19 cm2, P < 0.0001). In univariate analysis, PMA was associated with age and body mass index (BMI). A Cox proportional hazards model was constructed to account for confounders associated with survival. Lower pectoralis area (per cm2) at diagnosis was associated with an increased hazard of death of 2% (HRadj, 0.98; confidence interval, 0.96-0.99; P = 0.044) while adjusting for age, sex, smoking, chronic bronchitis, emphysema, histology, stage, chemotherapy, radiation, surgery, BMI, and ECOG performance status. CONCLUSIONS Lower PMA measured from chest CT scans obtained at the time of diagnosis of NSCLC is associated with a worse OS. IMPACT PMA may be a valuable CT biomarker for sarcopenia-associated lung cancer survival. Cancer Epidemiol Biomarkers Prev; 26(1); 38-43. ©2016 AACR SEE ALL THE ARTICLES IN THIS CEBP FOCUS SECTION, "THE OBESITY PARADOX IN CANCER EVIDENCE AND NEW DIRECTIONS".
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Affiliation(s)
- C Matthew Kinsey
- Division of Pulmonary and Critical Care, University of Vermont Medical Center, Burlington, Vermont.
| | | | - Jos van der Velden
- Department of Pathology, University of Vermont Medical Center, Burlington, Vermont
| | - Bernard F Cole
- College of Engineering and Mathematics, University of Vermont, Burlington, Vermont
| | - David C Christiani
- Department of Environmental Health and Epidemiology, Pulmonary and Critical Care Unit, Massachusetts General Hospital, Harvard School of Public Health, Boston, Massachusetts
| | - George R Washko
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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Chen Q, Deeb RS, Ma Y, Staudt MR, Crystal RG, Gross SS. Serum Metabolite Biomarkers Discriminate Healthy Smokers from COPD Smokers. PLoS One 2015; 10:e0143937. [PMID: 26674646 PMCID: PMC4682670 DOI: 10.1371/journal.pone.0143937] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 11/11/2015] [Indexed: 12/16/2022] Open
Abstract
COPD (chronic obstructive pulmonary disease) is defined by a fixed expiratory airflow obstruction associated with disordered airways and alveolar destruction. COPD is caused by cigarette smoking and is the third greatest cause of mortality in the US. Forced expiratory volume in 1 second (FEV1) is the only validated clinical marker of COPD, but it correlates poorly with clinical features and is not sensitive enough to predict the early onset of disease. Using LC/MS global untargeted metabolite profiling of serum samples from a well-defined cohort of healthy smokers (n = 37), COPD smokers (n = 41) and non-smokers (n = 37), we sought to discover serum metabolic markers with known and/or unknown molecular identities that are associated with early-onset COPD. A total of 1,181 distinct molecular ions were detected in 95% of sera from all study subjects and 23 were found to be differentially-expressed in COPD-smokers vs. healthy-smokers. These 23 putative biomarkers were differentially-correlated with lung function parameters and used to generate a COPD prediction model possessing 87.8% sensitivity and 86.5% specificity. In an independent validation set, this model correctly predicted COPD in 8/10 individuals. These serum biomarkers included myoinositol, glycerophopshoinositol, fumarate, cysteinesulfonic acid, a modified version of fibrinogen peptide B (mFBP), and three doubly-charged peptides with undefined sequence that significantly and positively correlate with mFBP levels. Together, elevated levels of serum mFBP and additional disease-associated biomarkers point to a role for chronic inflammation, thrombosis, and oxidative stress in remodeling of the COPD airways. Serum metabolite biomarkers offer a promising and accessible window for recognition of early-stage COPD.
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Affiliation(s)
- Qiuying Chen
- Department of Pharmacology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America
| | - Ruba S. Deeb
- Department of Genetic Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America
| | - Yuliang Ma
- Department of Pharmacology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America
| | - Michelle R. Staudt
- Department of Genetic Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America
| | - Ronald G. Crystal
- Department of Genetic Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America
- * E-mail: (RGC); (SSG)
| | - Steven S. Gross
- Department of Pharmacology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America
- * E-mail: (RGC); (SSG)
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Rooney C, Sethi T. Biomarkers for precision medicine in airways disease. Ann N Y Acad Sci 2015; 1346:18-32. [PMID: 26099690 DOI: 10.1111/nyas.12809] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 05/12/2015] [Accepted: 05/13/2015] [Indexed: 12/22/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a complex clinical entity. In contrast to previously limited diagnostic definitions, it is now apparent that COPD is a clinically and biologically heterogeneous disease process, overlapping with other airways diseases like chronic asthma. As such, symptomatic response to current standard treatment practices is variable. New clinical guidelines have been altered to reflect this, with the inclusion of symptoms and risk factors in diagnostic and management algorithms. However, as our understanding of COPD pathophysiology deepens, many novel physiological, cellular, proteomic, and genetic markers have been identified. Several have been observed to be independently predictive of distinct clinical disease patterns, which at present are not illustrated by conventional measurements of lung impairment. The potential use of these predictive biomarkers to stratify this diverse patient population could transform the care we offer. We should aim for precision medicine to optimize diagnosis and treatment choices and to monitor and improve clinical outcomes in this disease.
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Affiliation(s)
| | - Tariq Sethi
- Asthma, Allergy and Lung Biology, King's College London, London, United Kingdom
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Comparison of a New Integral-Based Half-Band Method for CT Measurement of Peripheral Airways in COPD With a Conventional Full-Width Half-Maximum Method Using Both Phantom and Clinical CT Images. J Comput Assist Tomogr 2015; 39:428-36. [PMID: 25700223 DOI: 10.1097/rct.0000000000000218] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To compare a new integral-based half-band method (IBHB) and a conventional full-width half-maximum (FWHM) method in measuring peripheral airway dimensions at airway phantoms and thin-section computed tomography of chronic obstructive pulmonary disease (COPD). METHODS The IBHB was validated and compared using airway phantoms and 50 patients with COPD. Airway parameters (wall area percentage [WA%], mean lumen radius, and mean wall thickness) were measured at fourth to sixth generations of the right apical bronchus. Matched results from 2 methods were compared and correlated with forced expiratory volume (FEV) in 1 second (FEV1), FEV1 / forced vital capacity (FVC), and global initiative for chronic obstructive lung disease (GOLD) stage. Linear regression analysis was performed using airway dimensions and emphysema index. RESULTS The IBHB generated more accurate measurements at phantom study. Measured airway parameters by both methods at thin-section computed tomography study were significantly different (all P < 0.05, paired t test). The IBHB method-measured WA% and wall thickness were significantly smaller. Mean WA% with IBHB also showed better correlation than that with FWHM (FEV1, r = -0.52 vs -0.28; FEV1 / FVC, r = -0.41 vs r = -0.20; GOLD, 0.52 vs 0.33, respectively). Linear regression analysis revealed fifth-generation WA% measured by IBHB was an independent variable, and addition to emphysema index increased predictability (FEV1, r = 0.63; FEV1 / FVC, r = 0.61; GOLD, r = 0.70). CONCLUSIONS The new IBHB measured peripheral airway dimensions differently than FWHM and showed better correlations with functional parameters in COPD.
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Feragen A, Petersen J, Owen M, Hohwu Thomsen L, Wille MMW, Dirksen A, de Bruijne M. Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE TRANSACTIONS ON MEDICAL IMAGING 2015; 34:1212-1226. [PMID: 25532169 DOI: 10.1109/tmi.2014.2380991] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
We present a fast and robust atlas-based algorithm for labeling airway trees, using geodesic distances in a geometric tree-space. Possible branch label configurations for an unlabeled airway tree are evaluated using distances to a training set of labeled airway trees. In tree-space, airway tree topology and geometry change continuously, giving a natural automatic handling of anatomical differences and noise. A hierarchical approach makes the algorithm efficient, assigning labels from the trachea and downwards. Only the airway centerline tree is used, which is relatively unaffected by pathology. The algorithm is evaluated on 80 segmented airway trees from 40 subjects at two time points, labeled by three medical experts each, testing accuracy, reproducibility and robustness in patients with chronic obstructive pulmonary disease (COPD). The accuracy of the algorithm is statistically similar to that of the experts and not significantly correlated with COPD severity. The reproducibility of the algorithm is significantly better than that of the experts, and negatively correlated with COPD severity. Evaluation of the algorithm on a longitudinal set of 8724 trees from a lung cancer screening trial shows that the algorithm can be used in large scale studies with high reproducibility, and that the negative correlation of reproducibility with COPD severity can be explained by missing branches, for instance due to segmentation problems in COPD patients. We conclude that the algorithm is robust to COPD severity given equally complete airway trees, and comparable in performance to that of experts in pulmonary medicine, emphasizing the suitability of the labeling algorithm for clinical use.
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Doel T, Gavaghan DJ, Grau V. Review of automatic pulmonary lobe segmentation methods from CT. Comput Med Imaging Graph 2015; 40:13-29. [PMID: 25467805 DOI: 10.1016/j.compmedimag.2014.10.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2013] [Revised: 10/11/2014] [Accepted: 10/15/2014] [Indexed: 11/17/2022]
Abstract
The computational detection of pulmonary lobes from CT images is a challenging segmentation problem with important respiratory health care applications, including surgical planning and regional image analysis. Several authors have proposed automated algorithms and we present a methodological review. These algorithms share a number of common stages and we consider each stage in turn, comparing the methods applied by each author and discussing their relative strengths. No standard method has yet emerged and none of the published methods have been demonstrated across a full range of clinical pathologies and imaging protocols. We discuss how improved methods could be developed by combining different approaches, and we use this to propose a workflow for the development of new algorithms.
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Affiliation(s)
- Tom Doel
- Department of Computer Science, University of Oxford, Oxford, UK.
| | - David J Gavaghan
- Department of Computer Science, University of Oxford, Oxford, UK
| | - Vicente Grau
- Department of Engineering Science and Oxford e-Research Centre, University of Oxford, Oxford, UK
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Smith BM, Hoffman EA, Rabinowitz D, Bleecker E, Christenson S, Couper D, Donohue KM, Han MK, Hansel NN, Kanner RE, Kleerup E, Rennard S, Barr RG. Comparison of spatially matched airways reveals thinner airway walls in COPD. The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study and the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS). Thorax 2014; 69:987-96. [PMID: 24928812 PMCID: PMC4198462 DOI: 10.1136/thoraxjnl-2014-205160] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND COPD is characterised by reduced airway lumen dimensions and fewer peripheral airways. Most studies of airway properties sample airways based upon lumen dimension or at random, which may bias comparisons given reduced airway lumen dimensions and number in COPD. We sought to compare central airway wall dimensions on CT in COPD and controls using spatially matched airways, thereby avoiding selection bias of airways in the lung. METHODS The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study and Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS) recruited smokers with COPD and controls aged 50-79 years and 40-80 years, respectively. COPD was defined by current guidelines. Using CT image data, airway dimensions were measured for all central airway segments (generations 0-6) following 5 standardised paths into the lungs. Case-control airway comparisons were spatially matched by generation and adjusted for demographics, body size, smoking, CT dose, per cent emphysema, airway length and lung volume. RESULTS Among 311 MESA COPD participants, airway wall areas at generations 3-6 were smaller in COPD compared with controls (all p<0.001). Among 1248 SPIROMICS participants, airway wall areas at generations 1-6 were smaller (all p<0.001), and this reduction was monotonic with increasing COPD severity (p<0.001). In both studies, sampling airways by lumen diameter or randomly resulted in a comparison of more proximal airways in COPD to more peripheral airways in controls (p<0.001) resulting in the appearance of thicker walls in COPD (p<0.02). CONCLUSIONS Airway walls are thinner in COPD when comparing spatially matched central airways. Other approaches to airway sampling result in comparisons of more proximal to more distal airways and potentially biased assessment of airway properties in COPD.
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Affiliation(s)
- Benjamin M. Smith
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Medicine, McGill University, Montreal, Canada
| | - Eric A. Hoffman
- Departments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, IA
| | - Dan Rabinowitz
- Department of Statistics, Columbia University, New York, NY
| | - Eugene Bleecker
- Department of Medicine, Wake Forest University, Winston-Salem, NC
| | | | - David Couper
- Deparment of Biostatistics, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Kathleen M. Donohue
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Meilan K. Han
- Department of Medicine, University of Michigan, Ann Arbor, MI
| | - Nadia N. Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, MD
| | | | - Eric Kleerup
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, CA
| | - Stephen Rennard
- Department of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - R. Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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CT quantification of emphysema: Is semi-quantitative scoring a reliable enough method? THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2014. [DOI: 10.1016/j.ejrnm.2014.03.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
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Wassermann D, Ross J, Washko G, Wells WM, San Jose-Estepar R. Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields. PROCEEDINGS. IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 2014; 2014:2729-2735. [PMID: 25473253 DOI: 10.1109/cvpr.2014.355] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The main contribution of this work is a framework to register anatomical structures characterized as a point set where each point has an associated symmetric matrix. These matrices can represent problem-dependent characteristics of the registered structure. For example, in airways, matrices can represent the orientation and thickness of the structure. Our framework relies on a dense tensor field representation which we implement sparsely as a kernel mixture of tensor fields. We equip the space of tensor fields with a norm that serves as a similarity measure. To calculate the optimal transformation between two structures we minimize this measure using an analytical gradient for the similarity measure and the deformation field, which we restrict to be a diffeomorphism. We illustrate the value of our tensor field model by comparing our results with scalar and vector field based models. Finally, we evaluate our registration algorithm on synthetic data sets and validate our approach on manually annotated airway trees.
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Affiliation(s)
- Demian Wassermann
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - James Ross
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - George Washko
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - William M Wells
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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Tho NV, Trang LTH, Murakami Y, Ogawa E, Ryujin Y, Kanda R, Nakagawa H, Goto K, Fukunaga K, Higami Y, Seto R, Nagao T, Oguma T, Yamaguchi M, Lan LTT, Nakano Y. Airway wall area derived from 3-dimensional computed tomography analysis differs among lung lobes in male smokers. PLoS One 2014; 9:e98335. [PMID: 24865661 PMCID: PMC4035347 DOI: 10.1371/journal.pone.0098335] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2013] [Accepted: 04/30/2014] [Indexed: 11/25/2022] Open
Abstract
Background It is time-consuming to obtain the square root of airway wall area of the hypothetical airway with an internal perimeter of 10 mm (√Aaw at Pi10), a comparable index of airway dimensions in chronic obstructive pulmonary disease (COPD), from all airways of the whole lungs using 3-dimensional computed tomography (CT) analysis. We hypothesized that √Aaw at Pi10 differs among the five lung lobes and √Aaw at Pi10 derived from one certain lung lobe has a high level of agreement with that derived from the whole lungs in smokers. Methods Pulmonary function tests and chest volumetric CTs were performed in 157 male smokers (102 COPD, 55 non-COPD). All visible bronchial segments from the 3rd to 5th generations were segmented and measured using commercially available 3-dimensional CT analysis software. √Aaw at Pi10 of each lung lobe was estimated from all measurable bronchial segments of that lobe. Results Using a mixed-effects model, √Aaw at Pi10 differed significantly among the five lung lobes (R2 = 0.78, P<0.0001). The Bland-Altman plots show that √Aaw at Pi10 derived from the right or left upper lobe had a high level of agreement with that derived from the whole lungs, while √Aaw at Pi10 derived from the right or left lower lobe did not. Conclusion In male smokers, CT-derived airway wall area differs among the five lung lobes, and airway wall area derived from the right or left upper lobe is representative of the whole lungs.
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Affiliation(s)
- Nguyen Van Tho
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
- Respiratory Care Center, University Medical Center, Ho Chi Minh City, Vietnam
| | - Le Thi Huyen Trang
- Respiratory Care Center, University Medical Center, Ho Chi Minh City, Vietnam
| | - Yoshitaka Murakami
- Department of Medical Statistics, Shiga University of Medical Science, Shiga, Japan
| | - Emiko Ogawa
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
- Health Administration Center, Shiga University of Medical Science, Shiga, Japan
| | - Yasushi Ryujin
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Rie Kanda
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Hiroaki Nakagawa
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Kenichi Goto
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Kentaro Fukunaga
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Yuichi Higami
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Ruriko Seto
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Taishi Nagao
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Tetsuya Oguma
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Masafumi Yamaguchi
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Le Thi Tuyet Lan
- Respiratory Care Center, University Medical Center, Ho Chi Minh City, Vietnam
| | - Yasutaka Nakano
- Division of Respiratory Medicine, Department of Medicine, Shiga University of Medical Science, Shiga, Japan
- * E-mail:
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Ross JC, Díaz AA, Okajima Y, Wassermann D, Washko GR, Dy J, San José Estépar R. AIRWAY LABELING USING A HIDDEN MARKOV TREE MODEL. PROCEEDINGS. IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING 2014; 2014:554-558. [PMID: 25436039 PMCID: PMC4245147 DOI: 10.1109/isbi.2014.6867931] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We present a novel airway labeling algorithm based on a Hidden Markov Tree Model (HMTM). We obtain a collection of discrete points along the segmented airway tree using particles sampling [1] and establish topology using Kruskal's minimum spanning tree algorithm. Following this, our HMTM algorithm probabilistically assigns labels to each point. While alternative methods label airway branches out to the segmental level, we describe a general method and demonstrate its performance out to the subsubsegmental level (two generations further than previously published approaches). We present results on a collection of 25 computed tomography (CT) datasets taken from a Chronic Obstructive Pulmonary Disease (COPD) study.
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Affiliation(s)
- James C Ross
- Channing Laboratory, Brigham and Women's Hospital, Boston, MA ; Surgical Planning Lab, Brigham and Women's Hospital, Boston, MA ; Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Boston, MA
| | - Alejandro A Díaz
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA
| | - Yuka Okajima
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | | | - George R Washko
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Boston, MA
| | - Jennifer Dy
- ECE Department, Northeastern University, Boston, MA
| | - Raúl San José Estépar
- Surgical Planning Lab, Brigham and Women's Hospital, Boston, MA ; Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Boston, MA ; Department of Radiology, Brigham and Women's Hospital, Boston, MA
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Enright P. Patients are hurt by a false diagnosis of chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2014; 189:229. [PMID: 24428652 DOI: 10.1164/rccm.201306-1117le] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Paul Enright
- 1 The University of Arizona (retired) Tucson, Arizona
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Washko GR, Diaz AA, Kim V, Barr RG, Dransfield MT, Schroeder J, Reilly JJ, Ramsdell JW, McKenzie A, Van Beek EJR, Lynch DA, Butler JP, Han MK. Computed tomographic measures of airway morphology in smokers and never-smoking normals. J Appl Physiol (1985) 2014; 116:668-73. [PMID: 24436301 DOI: 10.1152/japplphysiol.00004.2013] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Bronchial wall area percent (WA% = 100 × wall area/total bronchial cross sectional area) is a standard computed tomographic (CT) measure of central airway morphology utilized in smokers with chronic obstructive pulmonary disease (COPD). Although it provides significant clinical correlations, the range of reported WA% is narrow. This suggests limited macroscopic change in response to smoking or that remodeling proportionally affects the airway wall and lumen dimensions such that their ratio is preserved. The objective of this study is to assess central airway wall area (WA), lumen area (Ai), and total bronchial area (Ao) from CT scans of 5,179 smokers and 92 never smoking normal subjects. In smokers, WA, Ai, and Ao were positively correlated with forced expiratory volume in 1 s (FEV1) expressed as a percent of predicted (FEV1%), and the WA% was negatively correlated with FEV1% (P < 0.0001 for all comparisons). Importantly, smokers with lower FEV1% tended to have airways of smaller cross-sectional area with lower WA. The increases in the WA% across GOLD stages of chronic obstructive pulmonary disease (COPD) can therefore not be due to increases in WA. The data suggest two possible origins for the WA% increases: 1) central airway remodeling resulting in overall reductions in airway caliber in excess of the decreased WA or 2) those with COPD had smaller native airways before they began smoking. In both cases, these observations provide an explanation for the limited range of values of WA% across stages of COPD.
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Affiliation(s)
- G R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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Kurashima K, Hoshi T, Takaku Y, Kanauchi T, Nakamoto K, Ueda M, Takayanagi N, Colby TV, Sugita Y, Kawabata Y. Changes in the airway lumen and surrounding parenchyma in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 2013; 8:523-32. [PMID: 24204134 PMCID: PMC3817018 DOI: 10.2147/copd.s52637] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND The purpose of this study was to examine changes in the airway lumen and parenchyma in relation to lung function in patients with chronic obstructive pulmonary disease (COPD) compared with controls. METHODS We studied 70 patients with COPD and 15 normal subjects. Using reconstructed computed tomography (CT) images, we traced the bronchial trees and reconstructed 3 cm circle images around the airways exactly perpendicular to the airway axis at the peripheral, middle, and central zones of the bronchi. We measured the number of airways and vessels, the airway inner diameter, and the area of emphysema in the circles, and analyzed the relationship of these image parameters to lung function. RESULTS Reduced airway numbers and increased upper lobe emphysema were observed even in early spirometric stages in patients with COPD compared with controls. Other findings included decreased airway inner diameter in advanced spirometric stages. The numbers of peripheral zone bronchi, the extent of the middle zone emphysematous area, and the mean airway inner diameter of the airways were the best predictors of spirometric parameters. A portion of the airways in patients with COPD showed a loss of airway patency at middle or central zone bronchi predominantly in the late spirometric stages. Lumen-obliterated bronchial trees could be traced into emphysematous areas showing air trapping. CONCLUSION Compared with controls, our CT observations in patients with COPD showed that airway lumen and lung parenchyma changes along airways differed by spirometric stage, and these changes were associated with decreased lung function. A portion of CT-identified emphysema in patients with COPD appeared to be due to lumen-obliterated airways in the bronchial tree.
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Affiliation(s)
- Kazuyoshi Kurashima
- Department of Respiratory Medicine, Saitama Cardiovascular and Respiratory Center, Kumagaya City, Saitama, Japan
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