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Tanabe N, Sato S, Shimada T, Kaji S, Shiraishi Y, Terada S, Maetani T, Mochizuki F, Shimizu K, Suzuki M, Chubachi S, Terada K, Tanimura K, Sakamoto R, Oguma T, Sato A, Kanasaki M, Muro S, Masuda I, Iijima H, Hirai T. A reference equation for lung volume on computed tomography in Japanese middle-aged and elderly adults. Respir Investig 2024; 62:121-127. [PMID: 38101279 DOI: 10.1016/j.resinv.2023.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 11/06/2023] [Accepted: 12/01/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Effective use of lung volume data measured on computed tomography (CT) requires reference values for specific populations. This study examined whether an equation previously generated for multiple ethnic groups in the United States, including Asians predominantly composed of Chinese people, in the Multi-Ethnic Study of Atherosclerosis (MESA) could be used for Japanese people and, if necessary, to optimize this equation. Moreover, the equation was used to characterize patients with chronic obstructive pulmonary disease (COPD) and lung hyperexpansion. METHODS This study included a lung cancer screening CT cohort of asymptomatic never smokers aged ≥40 years from two institutions (n = 364 and 419) to validate and optimize the MESA equation and a COPD cohort (n = 199) to test its applicability. RESULTS In all asymptomatic never smokers, the variance explained by the predicted values (R2) based on the original MESA equation was 0.60. The original equation was optimized to minimize the root mean squared error (RMSE) by adjusting the scaling factor but not the age, sex, height, or body mass index terms of the equation. The RMSE changed from 714 ml in the original equation to 637 ml in the optimized equation. In the COPD cohort, lung hyperexpansion, defined based on the 95th percentile of the ratio of measured lung volume to predicted lung volume in never smokers (122 %), was observed in 60 (30 %) patients and was associated with centrilobular emphysema and air trapping on inspiratory/expiratory CT. CONCLUSIONS The MESA equation was optimized for Japanese middle-aged and elderly adults.
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Affiliation(s)
- Naoya Tanabe
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Susumu Sato
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Department of Respiratory Care and Sleep Control Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takafumi Shimada
- Department of Respiratory Medicine, Tsukuba Medical Center, Ibaraki, Japan
| | - Shizuo Kaji
- Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Satoru Terada
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan; Terada Clinic, Respiratory Medicine and General Practice, Himeji, Hyogo, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Fumi Mochizuki
- Department of Respiratory Medicine, Tsukuba Medical Center, Ibaraki, Japan
| | - Kaoruko Shimizu
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kunihiko Terada
- Terada Clinic, Respiratory Medicine and General Practice, Himeji, Hyogo, Japan
| | - Kazuya Tanimura
- Department of Respiratory Medicine, Nara Medical University, Kashihara, Nara, Japan
| | - Ryo Sakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | | | - Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, Kashihara, Nara, Japan
| | - Izuru Masuda
- Medical Examination Center, Takeda Hospital, Kyoto, Japan
| | - Hiroaki Iijima
- Department of Respiratory Medicine, Tsukuba Medical Center, Ibaraki, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Peng J, Zhao L, Wang Y, Yang H, Wang H, Zhang M, Wang Q, Ye L, Wang Z. A study of the correlation between total lung volume and the percent of low attenuation volume and PFT indicators in patients with preoperative lung cancer. Medicine (Baltimore) 2023; 102:e34201. [PMID: 37478255 PMCID: PMC10662899 DOI: 10.1097/md.0000000000034201] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 06/14/2023] [Indexed: 07/23/2023] Open
Abstract
The objective was to explore the relationships between computed tomography (CT) lung volume parameters and pulmonary function test (PFT) indexes and develop predictive scores to predict PFT indexes in Chinese preoperative patients suspected with lung cancer. Preoperative patients suspected with lung cancer aged 18 years or more and examined by chest CT scan and PET were consecutively recruited from April to August 2020, at Yunnan Cancer Hospital. CT and PET data were selected from medical record. Pearson correlation was used to explore the relationships between CT parameters and PFT indexes. Predictive scores of PFT indexes were developed from unstandardized coefficients of linear regression models of using CT parameters as predictors. The assessments of predictive ability of scores were conducted by receiver operating characteristics curves. A total of 124 preoperative patients suspected with lung cancer participated in this study. Total lung volume significantly correlated with total lung capacity (r = 0.708), residual volume (r = 0.411), forced expiratory volume in one second (FEV1, r = 0.535), forced vital capacity (FVC, r = 0.687), and FEV1/FVC (r = -0.319). Percent of low attenuation volume significantly correlated with total lung capacity (r = 0.200), residual volume (r = 0.215), FEV1 percentage of predictive value (FEV1%, r = -0.204) and FEV1/FVC (r = -0.345). Four predictive scores for FEV1, FEV1%, FEV1/FVC and FVC% were developed. The area under the curve of receiver operating characteristics for FEV1 <2L, FEV1% <80%, FEV1/FVC <80% and FVC% <80% were 0.856, 0.667, 0.749 and 0.715, respectively. A prediction of poor lung function in preoperative patients suspected with lung cancer, using total lung volume and percent of low attenuation volume was possible. The predictive scores should be further evaluated for external validity.
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Affiliation(s)
- Jing Peng
- Department of Anesthesiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Li Zhao
- Department of Anesthesiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Yasong Wang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Hanyan Yang
- Department of Anesthesiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Han Wang
- Department of Anesthesiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Mingxiong Zhang
- Department of Anesthesiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Qiongchuan Wang
- Department of Anesthesiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Lianhua Ye
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
| | - Zhonghui Wang
- Department of Anesthesiology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, China
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Sahin ME, Gökçek A, Satar S, Ergün P. Relation of impulse oscillometry and spirometry with quantitative thorax computed tomography after COVID-19 pneumonia. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2023; 69:e20221427. [PMID: 37222321 DOI: 10.1590/1806-9282.20221427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 02/23/2023] [Indexed: 05/25/2023]
Abstract
OBJECTIVE This study aimed to investigate if there is any correlation between the quantitative computed tomography and the impulse oscillometry or spirometry results of post-COVID-19 patients. METHODS The study comprised 47 post-COVID-19 patients who had spirometry, impulse oscillometry, and high-resolution computed tomography examinations at the same time. The study group consisted of 33 patients with quantitative computed tomography involvement, while the control group included 14 patients who did not have CT findings. The quantitative computed tomography technology was used to calculate percentages of density range volumes. The relationship between percentages of density range volumes for different quantitative computed tomography density ranges and impulse oscillometry-spirometry findings was statistically analyzed. RESULTS In quantitative computed tomography, the percentage of relatively high-density lung parenchyma, including fibrotic areas, was 1.76±0.43 and 5.65±3.73 in the control and study groups, respectively. The percentages of primarily ground-glass parenchyma areas were found to be 7.60±2.86 and 29.25±16.50 in the control and study groups, respectively. In the correlation analysis, the forced vital capacity% predicted in the study group was correlated with DRV%[(-750)-(-500)] (volume of the lung parenchyma that has density between (-750)-(-500) Hounsfield units), but no correlation with DRV%[(-500)-0] was detected. Also, reactance area and resonant frequency were correlated with DRV%[(-750)-(-500)], while X5 was correlated with both DRV%[(-500)-0] and DRV%[(-750)-(-500)] density. Modified Medical Research Council score was correlated with predicted percentages of forced vital capacity and X5. CONCLUSION After COVID-19, forced vital capacity, reactance area, resonant frequency, and X5 correlated with the percentages of density range volumes of ground-glass opacity areas in the quantitative computed tomography. X5 was the only parameter correlated with density ranges consistent with both ground-glass opacity and fibrosis. Furthermore, the percentages of forced vital capacity and X5 were shown to be associated with the perception of dyspnea.
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Affiliation(s)
- Mustafa Engin Sahin
- University of Health Sciences, Ankara Atatürk Sanatoryum Training and Research Hospital - Ankara, Turkey
| | - Atila Gökçek
- University of Health Sciences, Ankara Atatürk Sanatoryum Training and Research Hospital - Ankara, Turkey
| | - Seher Satar
- University of Health Sciences, Ankara Atatürk Sanatoryum Training and Research Hospital - Ankara, Turkey
| | - Pınar Ergün
- University of Health Sciences, Ankara Atatürk Sanatoryum Training and Research Hospital - Ankara, Turkey
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Wu F, Zheng Y, Zhao N, Peng J, Deng Z, Yang H, Tian H, Xiao S, Wen X, Huang P, Dai C, Lu L, Zhou K, Wu X, Fan H, Li H, Sun R, Yang C, Chen S, Huang J, Yu S, Zhou Y, Ran P. Clinical features and 1-year outcomes of chronic bronchitis in participants with normal spirometry: results from the ECOPD study in China. BMJ Open Respir Res 2023; 10:10/1/e001449. [PMID: 37028909 PMCID: PMC10083876 DOI: 10.1136/bmjresp-2022-001449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 03/24/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND Evidence regarding clinical features and outcomes of individuals with non-obstructive chronic bronchitis (NOCB) remains scarce, especially in never-smokers. We aimed to investigate the clinical features and 1-year outcomes of individuals with NOCB in the Chinese population. METHODS We obtained data on participants in the Early Chronic Obstructive Pulmonary Disease Study who had normal spirometry (post-bronchodilator forced expiratory volume in 1 s/forced vital capacity ≥0.70). NOCB was defined as chronic cough and sputum production for at least 3 months for two consecutive years or more at baseline in participants with normal spirometry. We assessed the differences in demographics, risk factors, lung function, impulse oscillometry, CT imaging and frequency of acute respiratory events between participants with and without NOCB. RESULTS NOCB was present in 13.1% (149/1140) of participants with normal spirometry at baseline. Compared with participants without NOCB, those with NOCB had a higher proportion of men and participants with smoke exposure, occupational exposure, family history of respiratory diseases and worse respiratory symptoms (all p<0.05), but there was no significant difference in lung function. Never-smokers with NOCB had higher rates of emphysema than those without NOCB, but airway resistance was similar. Ever-smokers with NOCB had greater airway resistance than those without NOCB, but emphysema rates were similar. During 1-year follow-up, participants with NOCB had a significantly increased risk of acute respiratory events compared with participants who did not have NOCB, after adjustment for confounders (risk ratio 2.10, 95% CI 1.32 to 3.33; p=0.002). These results were robust in never-smokers and ever-smokers. CONCLUSIONS Never-smokers and ever-smokers with NOCB had more chronic obstructive pulmonary disease-related risk factors, evidence of airway disease and greater risk of acute respiratory events than those without NOCB. Our findings support expanding the criteria defining pre-COPD to include NOCB.
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Affiliation(s)
- Fan Wu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Youlan Zheng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ningning Zhao
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Jieqi Peng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Zhishan Deng
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huajing Yang
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Heshen Tian
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Shan Xiao
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiang Wen
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Peiyu Huang
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Cuiqiong Dai
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Lifei Lu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Kunning Zhou
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiaohui Wu
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huanhuan Fan
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Haiqing Li
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ruiting Sun
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Changli Yang
- Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, People's Republic of China
| | - Shengtang Chen
- Medical Imaging Center, Wengyuan County People's Hospital, Shaogguan, People's Republic of China
| | - Jianhui Huang
- Department of Internal Medicine, Lianping County People's Hospital, Heyuan, People's Republic of China
| | - Shuqing Yu
- Lianping County Hospital of Traditional Chinese Medicine, Heyuan, People's Republic of China
| | - Yumin Zhou
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
| | - Pixin Ran
- Guangzhou Institute of Respiratory Health & State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
- Guangzhou Laboratory, Guangzhou, People's Republic of China
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Sharshar R, Zaki O, Younes R, AbdElla A. Role of pulmonary function tests and computed tomography volumetric quantitative analysis in assessment of idiopathic pulmonary fibrosis. EGYPTIAN JOURNAL OF CHEST DISEASES AND TUBERCULOSIS 2023. [DOI: 10.4103/ecdt.ecdt_71_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
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Quantitative Computed Tomography: What Clinical Questions Can it Answer in Chronic Lung Disease? Lung 2022; 200:447-455. [PMID: 35751660 PMCID: PMC9378468 DOI: 10.1007/s00408-022-00550-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/07/2022] [Indexed: 01/27/2023]
Abstract
Quantitative computed tomography (QCT) has recently gained an important role in the functional assessment of chronic lung disease. Its capacity in diagnostic, staging, and prognostic evaluation in this setting is similar to that of traditional pulmonary function testing. Furthermore, it can demonstrate lung injury before the alteration of pulmonary function test parameters, and it enables the classification of disease phenotypes, contributing to the customization of therapy and performance of comparative studies without the intra- and inter-observer variation that occurs with qualitative analysis. In this review, we address technical issues with QCT analysis and demonstrate the ability of this modality to answer clinical questions encountered in daily practice in the management of patients with chronic lung disease.
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Barros MC, Hochhegger B, Altmayer S, Zanon M, Sartori G, Watte G, do Nascimento MHS, Chatkin JM. The Normal Lung Index From Quantitative Computed Tomography for the Evaluation of Obstructive and Restrictive Lung Disease. J Thorac Imaging 2022; 37:246-252. [PMID: 35749622 DOI: 10.1097/rti.0000000000000629] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Our objective was to evaluate whether the normal lung index (NLI) from quantitative computed tomography (QCT) analysis can be used to predict mortality as well as pulmonary function tests (PFTs) in patients with chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD). MATERIALS AND METHODS Normal subjects (n=20) and patients with COPD (n=172) and ILD (n=114) who underwent PFTs and chest CT were enrolled retrospectively in this study. QCT measures included the NLI, defined as the ratio of the lung with attenuation between -950 and -700 Hounsfield units (HU) over the total lung volume (-1024 to -250 HU, mL), high-attenuation area (-700 to -250 HU, %), emphysema index (>6% of pixels < -950 HU), skewness, kurtosis, and mean lung attenuation. Coefficients of correlation between QCT measurements and PFT results in all subjects were calculated. Univariate and multivariate survival analyses were performed to assess mortality prediction by disease. RESULTS The Pearson correlation analysis showed that the NLI correlated moderately with the forced expiratory volume in 1 second in subjects with COPD (r=0.490, P<0.001) and the forced vital capacity in subjects with ILD (r=0.452, P<0.001). Multivariate analysis revealed that the NLI of <70% was a significant independent predictor of mortality in subjects with COPD (hazard ratio=3.14, P=0.034) and ILD (hazard ratio=2.72, P=0.005). CONCLUSION QCT analysis, specifically the NLI, can also be used to predict mortality in individuals with COPD and ILD.
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Affiliation(s)
| | | | | | - Matheus Zanon
- Irmandade Santa Casa de Misericordia de Porto Alegre, Porto Alegre
| | - Gabriel Sartori
- Irmandade Santa Casa de Misericordia de Porto Alegre, Porto Alegre
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Lv R, Xie M, Jin H, Shu P, Ouyang M, Wang Y, Yao D, Yang L, Huang X, Wang Y. A Preliminary Study on the Relationship Between High-Resolution Computed Tomography and Pulmonary Function in People at Risk of Developing Chronic Obstructive Pulmonary Disease. Front Med (Lausanne) 2022; 9:855640. [PMID: 35602478 PMCID: PMC9115858 DOI: 10.3389/fmed.2022.855640] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 03/30/2022] [Indexed: 11/18/2022] Open
Abstract
Objectives Patients with chronic obstructive pulmonary disease (COPD) have high morbidity and mortality, the opportunity to carry out a thoracic high-resolution CT (HRCT) scan may increase the possibility to identify the group at risk of disease. The aim of our study was to explore the differences in HRCT emphysema parameters, air trapping parameters, and lung density parameters between high and low-risk patients of COPD and evaluate their correlation with pulmonary function parameters. Methods In this retrospective, single-center cohort study, we enrolled outpatients from the Physical Examination Center and Respiratory Medicine of The First Affiliated Hospital of Wenzhou Medical University. The patients who were ≥ 40 years-old, had chronic cough or sputum production, and/or had exposure to risk factors for the disease and had not reached the diagnostic criteria is considered people at risk of COPD. They were divided into low-risk group and high-risk group according to FEV1/FVC ≥ 80% and 80%>FEV1/FVC ≥ 70%. Data on clinical characteristics, clinical symptom score, pulmonary function, and HRCT were recorded. Results 72 COPD high-risk patients and 86 COPD low-risk patients were enrolled in the study, and the air trapping index of left, right, and bilateral lungs of the high-risk group were higher than those of the low-risk group. However, the result of mean expiratory lung density was opposite. The emphysema index of left, right, and bilateral lungs were negatively correlated with FEV1/FVC (correlation coefficients were -0.33, -0.22, -0.26). Consistently, the air trapping index of left and right lungs and bilateral lungs were negatively correlated with FEV1/FVC (correlation coefficients were -0.33, -0.23, -0.28). Additionally, the mean expiratory lung density of left and right lungs and bilateral lungs were positively correlated with FEV1/FVC (correlation coefficients were 0.31, 0.25, 0.29). Conclusion The emphysema index, air trapping index and the mean expiratory lung density shows significantly positive correlation with FEV1/FVC which can be used to assess the pulmonary function status of people at risk of COPD and provide a useful supplement for the early and comprehensive assessment of the disease.
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Affiliation(s)
- Rui Lv
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.,Department of Intensive Care Unit, Ningbo First Hospital, Ningbo, China
| | - Mengyao Xie
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Huaqian Jin
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Pingping Shu
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Mingli Ouyang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yanmao Wang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Dan Yao
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Lehe Yang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiaoying Huang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yiran Wang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
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Imamura T, Gonoi W, Hori M, Ueno Y, Narang N, Onoda H, Tanaka S, Nakamura M, Kataoka N, Ushijima R, Sobajima M, Fukuda N, Ueno H, Kinugawa K. Validation of Noninvasive Remote Dielectric Sensing System to Quantify Lung Fluid Levels. J Clin Med 2021; 11:jcm11010164. [PMID: 35011905 PMCID: PMC8745965 DOI: 10.3390/jcm11010164] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 12/28/2021] [Accepted: 12/28/2021] [Indexed: 01/10/2023] Open
Abstract
Background: The accuracy of the remote dielectric sensing (ReDSTM) system, which is a noninvasive electromagnetic-based technology to quantify lung fluid levels, particularly among those with small body size, remains uncertain. Methods: Hospitalized patients with and without heart failure underwent assessment of lung fluid levels with ReDS and successive chest computed tomography imaging. We performed a correlation analysis of the ReDS measurement, representing lung fluid levels, and computed tomography-derived high attenuation area percentage, which also provides a spatial quantification of lung fluid level. Results: A total of 46 patients (median 76 years old, 28 men), including 28 patients with heart failure, were included. The median ReDS value was 28% (interquartile: 23%, 33%), and the median percentage of high attenuation area was 21.6% (14.4%, 28.5%). ReDS values and percentage of high attenuation area were moderately correlated (r = 0.65, p < 0.001), irrespective of the existence of heart failure. ReDS value independently predicted the percentage of high attenuation area seen on computed tomography (p < 0.001). Conclusions: The ReDS system may be a promising, noninvasive tool to quantify fluid lung levels, as validated by comparison with chest computed tomography imaging. Further studies are warranted to validate the utility and applicability of this technology to a variety of clinical scenarios.
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Affiliation(s)
- Teruhiko Imamura
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
- Correspondence: ; Tel.: +81-76-434-2281; Fax: +81-76-434-5026
| | - Wataru Gonoi
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo 1138654, Japan;
| | - Masakazu Hori
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Yohei Ueno
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Nikhil Narang
- Advocate Christ Medical Center, Oak Lawn, IL 60453, USA;
| | - Hiroshi Onoda
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Shuhei Tanaka
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Makiko Nakamura
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Naoya Kataoka
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Ryuichi Ushijima
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Mitsuo Sobajima
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Nobuyuki Fukuda
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Hiroshi Ueno
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
| | - Koichiro Kinugawa
- Second Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan; (M.H.); (Y.U.); (H.O.); (S.T.); (M.N.); (N.K.); (R.U.); (M.S.); (N.F.); (H.U.); (K.K.)
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Moutafidis D, Gavra M, Golfinopoulos S, Kattamis A, Chrousos G, Kanaka-Gantenbein C, Kaditis AG. Low- and High-Attenuation Lung Volume in Quantitative Chest CT in Children without Lung Disease. CHILDREN (BASEL, SWITZERLAND) 2021; 8:children8121172. [PMID: 34943369 PMCID: PMC8700567 DOI: 10.3390/children8121172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/21/2021] [Accepted: 12/07/2021] [Indexed: 06/14/2023]
Abstract
In contrast to studies of adults with emphysema, application of fixed thresholds to determine low- and high-attenuation areas (air-trapping and parenchymal lung disease) in pediatric quantitative chest CT is problematic. We aimed to assess age effects on: (i) mean lung attenuation (full inspiration); and (ii) low and high attenuation thresholds (LAT and HAT) defined as mean attenuation and 1 SD below and above mean, respectively. Chest CTs from children aged 6-17 years without abnormalities were retrieved, and histograms of attenuation coefficients were analyzed. Eighty examinations were included. Inverse functions described relationships between age and mean lung attenuation, LAT or HAT (p < 0.0001). Predicted value for LAT decreased from -846 HU in 6-year-old to -950 HU in 13- to 17-year-old subjects (cut-off value for assessing emphysema in adults). %TLCCT with low attenuation correlated with age (rs = -0.31; p = 0.005) and was <5% for 9-17-year-old subjects. Inverse associations were demonstrated between: (i) %TLCCT with high attenuation and age (r2 = 0.49; p < 0.0001); (ii) %TLCCT with low attenuation and TLCCT (r2 = 0.47; p < 0.0001); (iii) %TLCCT with high attenuation and TLCCT (r2 = 0.76; p < 0.0001). In conclusion, quantitative analysis of chest CTs from children without lung disease can be used to define age-specific LAT and HAT for evaluation of pediatric lung disease severity.
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Affiliation(s)
- Dimitrios Moutafidis
- Division of Pediatric Pulmonology, First Department of Pediatrics, National and Kapodistrian University of Athens School of Medicine & Agia Sofia Children’s Hospital, 115 27 Athens, Greece; (D.M.); (C.K.-G.)
| | - Maria Gavra
- CT, MRI & PET/CT Department, Agia Sofia Children’s Hospital, 115 27 Athens, Greece; (M.G.); (S.G.)
| | - Sotirios Golfinopoulos
- CT, MRI & PET/CT Department, Agia Sofia Children’s Hospital, 115 27 Athens, Greece; (M.G.); (S.G.)
| | - Antonios Kattamis
- Division of Pediatric Hematology-Oncology, First Department of Pediatrics, National and Kapodistrian University of Athens School of Medicine & Agia Sofia Children’s Hospital, 115 27 Athens, Greece;
| | - George Chrousos
- University Research Institute of Maternal and Child Health and Precision Medicine, UNESCO, National and Kapodistrian University of Athens, 115 27 Athens, Greece;
| | - Christina Kanaka-Gantenbein
- Division of Pediatric Pulmonology, First Department of Pediatrics, National and Kapodistrian University of Athens School of Medicine & Agia Sofia Children’s Hospital, 115 27 Athens, Greece; (D.M.); (C.K.-G.)
| | - Athanasios G. Kaditis
- Division of Pediatric Pulmonology, First Department of Pediatrics, National and Kapodistrian University of Athens School of Medicine & Agia Sofia Children’s Hospital, 115 27 Athens, Greece; (D.M.); (C.K.-G.)
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11
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Bressem KK, Adams LC, Albrecht J, Petersen A, Thieß HM, Niehues A, Niehues SM, Vahldiek JL. Is lung density associated with severity of COVID-19? Pol J Radiol 2020; 85:e600-e606. [PMID: 33204375 PMCID: PMC7654311 DOI: 10.5114/pjr.2020.100788] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 09/03/2020] [Indexed: 02/07/2023] Open
Abstract
PURPOSE Emphysema and chronic obstructive lung disease were previously identified as major risk factors for severe disease progression in COVID-19. Computed tomography (CT)-based lung-density analysis offers a fast, reliable, and quantitative assessment of lung density. Therefore, we aimed to assess the benefit of CT-based lung density measurements to predict possible severe disease progression in COVID-19. MATERIAL AND METHODS Thirty COVID-19-positive patients were included in this retrospective study. Lung density was quantified based on routinely acquired chest CTs. Presence of COVID-19 was confirmed by reverse transcription polymerase chain reaction (RT-PCR). Wilcoxon test was used to compare two groups of patients. A multivariate regression analysis, adjusted for age and sex, was employed to model the relative increase of risk for severe disease, depending on the measured densities. RESULTS Intensive care unit (ICU) patients or patients requiring mechanical ventilation showed a lower proportion of medium- and low-density lung volume compared to patients on the normal ward, but a significantly larger volume of high-density lung volume (12.26 dl IQR 4.65 dl vs. 7.51 dl vs. IQR 5.39 dl, p = 0.039). In multivariate regression analysis, high-density lung volume was identified as a significant predictor of severe disease. CONCLUSIONS The amount of high-density lung tissue showed a significant association with severe COVID-19, with odds ratios of 1.42 (95% CI: 1.09-2.00) and 1.37 (95% CI: 1.03-2.11) for requiring intensive care and mechanical ventilation, respectively. Acknowledging our small sample size as an important limitation; our study might thus suggest that high-density lung tissue could serve as a possible predictor of severe COVID-19.
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Affiliation(s)
- Keno K. Bressem
- Correspondence address: Dr. Keno K. Bressem, Charité Universitätsmedizin Berlin, Berlin, Germany, e-mail:
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12
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The Performance of Chest CT in Evaluating the Clinical Severity of COVID-19 Pneumonia: Identifying Critical Cases Based on CT Characteristics. Invest Radiol 2020; 55:412-421. [PMID: 32304402 PMCID: PMC7173027 DOI: 10.1097/rli.0000000000000689] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Objectives To assess the clinical severity of COVID-19 pneumonia using qualitative and/or quantitative chest CT indicators and identify the CT characteristics of critical cases. Materials and Methods Fifty-one patients with COVID-19 pneumonia including ordinary cases (group A, n=12), severe cases(group B, n=15) and critical cases (group C, n=24) were retrospectively enrolled. The qualitative and quantitative indicators from chest CT were recorded and compared using Fisher's exact test, one-way ANOVA, Kruskal-Wallis H test and receiver operating characteristic analysis. Results Depending on the severity of the disease, the number of involved lung segments and lobes, the frequencies of consolidation, crazy-paving pattern and air bronchogram increased in more severe cases. Qualitative indicators including total severity score for the whole lung and total score for crazy-paving and consolidation could distinguish groups B and C from A(69% sensitivity, 83% specificity and 73% accuracy) but were similar between group B and group C. Combined qualitative and quantitative indicators could distinguish these three groups with high sensitivity(B+C vs. A, 90%; C vs. B, 92%), specificity(100%, 87%) and accuracy(92%, 90%). Critical cases had higher total severity score(>10) and higher total score for crazy-paving and consolidation(>4) than ordinary cases, and had higher mean lung density(>-779HU) and full width at half maximum(>128HU) but lower relative volume of normal lung density(≦50%) than ordinary/severe cases. In our critical cases, eight patients with relative volume of normal lung density smaller than 40% received mechanical ventilation for supportive treatment, and two of them had died. Conclusion A rapid, accurate severity assessment of COVID-19 pneumonia based on chest CT would be feasible and could provide help for making management decisions, especially for the critical cases.
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