Oscillometry and computed tomography findings in patients with idiopathic pulmonary fibrosis

Yuji Yamamoto, Keisuke Miki, Kazuyuki Tsujino, Tomoki Kuge, Fukuko Okabe, Takahiro Kawasaki, Takanori Matsuki, Hiroyuki Kagawa, Mari Miki, Hiroshi Kida
ERJ Open Research 2020 6: 00391-2020; DOI: 10.1183/23120541.00391-2020

Abstract

Although the utility of oscillometry for predicting disease severity in idiopathic pulmonary fibrosis (IPF) had been researched, little has been reported on the mechanism of why respiratory impedance reflects disease severity. In addition, traction bronchiectasis has been considered to reduce respiratory resistance and correlate negatively with airflow obstruction, but this hypothesis has not been validated. The present study aimed to investigate the correlations between oscillometric parameters and fibrosis-related lung abnormalities in IPF and to assess the utility of oscillometry as a surrogate marker for traction bronchiectasis and airflow obstruction.

Eighty Japanese patients with IPF underwent high-resolution computed tomography (HRCT), spirometry, and oscillometry and were retrospectively investigated. Fibrosis-related HRCT findings were scored regarding airspace consolidation, honeycombing, architectural distortion, traction bronchiectasis, and fibrosis. Correlations between the HRCT scores, spirometric parameters, and oscillometric parameters were analysed.

Respiratory reactance correlated positively with all fibrosis-related HRCT scores. Vital capacity and forced vital capacity (FVC) correlated negatively with oscillometric parameters and HRCT scores, reflecting the severity of restrictive ventilatory deficiency. Respiratory resistance was not related to any of the HRCT scores or forced expiratory volume in 1 s/FVC. However, forced expiratory volume in 1 s/FVC correlated positively with HRCT scores, which showed that airflow obstruction became milder as the disease progressed.

In conclusion, respiratory reactance reflects fibrosis and restrictive ventilatory deficiency in IPF. Moreover, respiratory resistance is independent of traction bronchiectasis and airflow obstruction in patients with IPF, which implies that respiratory resistance might reflect different properties of the airways.

Abstract

Respiratory reactance measured by oscillometry correlates with fibrosis-related computed tomography findings in idiopathic pulmonary fibrosis (IPF). Respiratory resistance is independent of traction bronchiectasis and airflow obstruction in IPF. https://bit.ly/36zoGtf

Introduction

Idiopathic pulmonary fibrosis (IPF) is a specific form of chronic, progressive, fibrosing interstitial pneumonia of unknown cause with a poor prognosis [1–3]. Since the clinical course of individual patients with IPF varies [4], many studies have been reported regarding developing clinical, physiological, and radiological markers to evaluate the clinical conditions and prognosis of patients with IPF [5–17]. As radiological and physiological markers, fibrosis-related high-resolution computed tomography (HRCT) findings and pulmonary function tests are used for predicting the prognosis of patients with IPF [10, 11, 13, 16, 17]. Notably, forced vital capacity (FVC), which reflects restrictive ventilatory deficiency, has been used as a surrogate marker for prognosis [13]. Restrictive ventilatory deficiency in IPF is primarily attributed to reduction of lung compliance [16]. Although the measurement requires placement of an oesophageal pressure probe to obtain transpulmonary pressure, lung compliance is useful for early IPF diagnosis because it is markedly reduced even in patients without abnormal HRCT findings [16, 18].

In addition to these markers, studies for evaluating patients with IPF using oscillometry, also called the forced oscillation technique, have been reported [14, 15]. Oscillometry, which involves measurements of within-breath changes in respiratory impedance, measures respiratory resistance (Rrs) and respiratory reactance (Xrs). Rrs represents the sum of the airway resistance and viscous resistance of lung and thoracic tissue [19], whereas Xrs reflects the dynamic elastance and inertia of the respiratory system [20]. Measuring respiratory impedance using oscillometry is less time-consuming and is technically easier to perform than spirometry because it is measured at rest with minimal respiratory effort [21, 22].

Regarding the utility of oscillometry as a physiological marker in IPF, respiratory reactance correlated with FVC and was useful as a surrogate marker for prognosis in IPF [14]. However, oscillometry and spirometry do not necessarily reflect the same physiological conditions of the respiratory tract system [23], and little has been reported on the mechanism of why respiratory reactance reflects the disease severity. In particular, no studies have validated the correlation of respiratory impedance with the degree of fibrosis and lung compliance in patients with IPF. As respiratory reactance correlates with lung compliance theoretically [24], we hypothesised that respiratory reactance reflects the degree of fibrosis and might be useful for early diagnosis in IPF.

Apart from the correlation between respiratory reactance and fibrosis, patients with IPF sometimes show traction bronchiectasis and increased forced expiratory volume in 1 s (FEV1)/FVC [16]. Given that airway resistance is affected by the diameter of the airways [25], we hypothesised that traction bronchiectasis reduces respiratory resistance, allows more air to pass out of the lungs, and correlates negatively with airflow obstruction in patients with IPF.

The objectives of the present study regarding IPF were as follows: 1) to investigate the correlation of oscillometric parameters with fibrosis-related lung abnormalities; and 2) to assess the utility of oscillometry as a surrogate marker of traction bronchiectasis and airflow obstruction.

Methods

Patients

All 343 Japanese patients with interstitial pneumonia who attended clinics at the National Hospital Organization Osaka Toneyama Medical Center between 2013 and 2019 were screened in this study. Patients were excluded if they had secondary interstitial pneumonia, as well as patients who did not undergo spirometry, oscillometry, or HRCT. The usual interstitial pneumonia (UIP) diagnosis was based on the presence of UIP pattern on HRCT not subjected to surgical lung biopsy or specific combinations of HRCT findings and surgical lung biopsy patterns [26]. Patients with combined pulmonary fibrosis and emphysema (CPFE) or with FEV1/FVC <70% (i.e. suspected of having COPD) were also excluded. The diagnosis of CPFE was based on the criteria developed by Cottin et al. [27]. Patients were excluded if they had malignancy, severe heart diseases, or severe cerebral diseases. Only patients with at least 3 months of convalescence were included. Figure 1 shows the inclusion flowchart. In total, 80 patients qualified for this study and were evaluated using the examinations and analysis described in the following sections.

FIGURE 1
FIGURE 1

Patient inclusion flowchart. AE: acute exacerbation; CPFE: combined pulmonary fibrosis and emphysema; FEV1: forced expiratory volume in 1 s; FVC: forced vital capacity; IIP: idiopathic interstitial pneumonia; IPF: idiopathic pulmonary fibrosis; NHO: National Hospital Organization; UIP: usual interstitial pneumonia.

Study design

Respiratory impedance was measured in all patients using oscillometry. Spirometry and oscillometry were performed on the same day. Oscillometry was performed at first, and thereafter, spirometry was measured. Short-acting β2-agonists were not used for at least 12 h before tests in all patients. Chest HRCT scans were performed within 3 months from the measurement of oscillometry and spirometry, and patients were stable until the completion of these measurements. Treatment for IPF was not changed at least 1 month before the initial data measurement to the completion of all data measurements. The HRCT findings were quantified by calculating HRCT scores described in the latter section. Correlations between the HRCT scores, respiratory impedance, and spirometric parameters were analysed regarding the total patients included in this study. The Institutional Review Board of the National Hospital Organization Osaka Toneyama Medical Center approved the study protocols and chose an opt-out system for obtaining patients' informed consent (approval number: TNH-R-2020005).

Measurement of respiratory impedance using oscillometry

Respiratory impedance was measured at rest with broadband oscillometry using a commercially available device (Mostgraph-01; Chest M.I. Co., Ltd., Tokyo, Japan). Oscillometry was performed according to the recommendations of the European Respiratory Society [28]. Whole-breath respiratory impedance was measured, and the average data of each oscillometric parameter were used. As indicators of the frequency dependence of Rrs, Rrs at 5 and 20 Hz (R5 and R20, respectively) and the difference between these (R5−R20) were used. In addition, Xrs at 5 Hz (X5), resonant frequency (Fres), and low-frequency reactance area (ALX) were measured as indicators of respiratory reactance. Fres indicates the point at which Xrs crosses zero and elasticity and inertia balance each other, and ALX is defined as the integral of X5 to Fres [23]. Predicted respiratory impedance values were calculated according to the formula developed by Oostveen et al. [29].

Spirometry

All patients underwent spirometry using the CHESTAC 8800 spirometer (Chest M.I., Inc.) according to the recommendations of the American Thoracic Society and the European Respiratory Society [30]. Predicted FVC and FEV1 were calculated according to the formula for Japanese patients developed by the Japanese Respiratory Society [31].

HRCT scores

Chest HRCT scans were conducted with 1 mm section thickness. HRCT images were reviewed independently by two pulmonologists trained in HRCT scoring, and average HRCT scores were adopted. The presence, extent, and distribution of HRCT findings were evaluated based on the presence of airspace consolidation, honeycombing, architectural distortion, traction bronchiectasis, and fibrosis, because these lung abnormalities reportedly correlate with the prognosis of patients with IPF [11].

The HRCT scores were evaluated based on the definition of HRCT findings and the scores developed by Sumikawa et al. [11] (supplementary tables 1 and 2). The observers evaluated the extent of all radiological abnormalities that were present in both lungs to determine the percentage of lung parenchyma occupied by the disease. The lungs were divided into six zones (upper, middle, and lower on both sides), and each zone was evaluated separately. The upper lung zone was defined as the area of the lung above the level of the tracheal carina, the lower lung zone was defined as the area of the lung below the level of the inferior pulmonary vein, and the middle lung zone was defined as the area of the lung between the upper and lower zones [11]. When abnormal HRCT findings were present, the extent of lung involvement was evaluated visually and independently for each of the six lung zones. The airspace consolidation and honeycombing scores were based on the percentage of the lung parenchyma with these abnormalities and were estimated to the nearest 5% of parenchymal involvement. The overall percentage of lung involvement was calculated by averaging the six lung zones. The extent of architectural distortion, traction bronchiectasis, and interstitial fibrosis was quantified by adding the HRCT scores of the six lung zones (supplementary table 2).

View this table:
TABLE 1

Patient baseline characteristics

View this table:
TABLE 2

Results of spirometry, oscillometry, and high-resolution computed tomography scores

Statistical analysis

Spearman's rank correlation coefficient (rs) was used for bivariate correlation analysis between HRCT scores and parameters of oscillometry and spirometry. Univariate and multivariate analyses were used for interaction analyses. For all analyses, p-values <0.05 were considered statistically significant. Furthermore, all statistical analyses were performed using EZR version 1.38 (based on R version 3.5.2 and R commander version 2.5-1; Jichi Medical University Saitama Medical Center, Saitama, Japan) [32].

Results

Baseline characteristics

Among the 80 patients included in the present study, 6 patients were diagnosed by a combination of surgical biopsy and HRCT findings, and 74 patients without pathology were diagnosed with UIP on HRCT. Table 1 summarises the patients' baseline characteristics. Many of the patients had been treated with pirfenidone (800–1800 mg daily), nintedanib (200–300 mg daily), inhaled N-acetylcysteine (350 mg diluted with saline to a total volume of 10 mL, twice a day), and/or oral corticosteroids (2–10 mg daily). No treatment for IPF affected oscillometric parameters (supplementary table 3). Moreover, multivariate analysis showed that age and body mass index did not affect any oscillometric parameters (all p-values >0.05). Table 2 lists the results of the HRCT scores, oscillometric parameters, and spirometric parameters. The average FEV1/FVC was higher than the predicted FEV1/FVC of healthy subjects (men, 76.7%; and women, 76.8%) [31].

Correlations of respiratory impedance with spirometry

Oscillometric parameters variously correlated with spirometric parameters in patients with IPF (table 3). All oscillometric parameters correlated with vital capacity (VC), FVC, and FEV1. Of note, respiratory reactance strongly correlated with VC and FVC, but FEV1 correlated with both respiratory resistance and reactance almost equally (tables 3 and 4). FEV1/FVC was increased as Fres and ALX became higher and X5 became more negative (table 3), but no correlations were observed between FEV1/FVC and respiratory resistance (figure 2 and supplementary table 4). The results showed that airflow obstruction became milder as respiratory reactance was increased, and that respiratory resistance did not correlate with airflow obstruction.

View this table:
TABLE 3

Results of Spearman's rank correlation coefficient for parameters of oscillometry and spirometry (n=80)

View this table:
TABLE 4

Results of univariate analysis for parameters of oscillometry and spirometry (n=80)

FIGURE 2
FIGURE 2

Spearman's rank correlation coefficient (rs) for respiratory resistance and FEV1/FVC (n=80). a) R5, b) R20 and c) R5–R20. FEV1: forced expiratory volume in 1 s; FVC: forced vital capacity; R5 and R20: respiratory system resistance at 5 and 20 Hz, respectively; NS: not statistically significant.

Regarding subdivisions of VC, respiratory reactance correlated both with inspiratory reserve volume (IRV) and expiratory reserve volume (ERV). However, respiratory resistance correlated only with ERV (table 3 and figure 3). Both respiratory reactance and resistance correlated with tidal volume, but no oscillometric parameters were related to tidal volume with clinical significance (table 4). Based on the results described above, respiratory reactance correlated with VC stronger than respiratory resistance, and respiratory resistance correlated with spirometric parameters that were related to forced expiration.

FIGURE 3
FIGURE 3

Spearman's rank correlation coefficient (rs) for respiratory resistance with a–c) IRV and d–f) ERV (n=80). ERV: expiratory reserve volume; IRV: inspiratory reserve volume; R5 and R20: respiratory system resistance at 5 and 20 Hz, respectively; ns: not significant. **: p<0.01, as measured by rs.

Correlations of HRCT scores with respiratory impedance and spirometry

Respiratory reactance significantly correlated with all HRCT scores, but respiratory resistance did not correlate with any of the scores (table 5). Even traction bronchiectasis score did not correlate with respiratory resistance. The HRCT scores became more severe as Fres and ALX became higher and X5 became more negative. The results showed that only respiratory reactance correlated positively with fibrosis-related HRCT findings in the lungs of IPF patients.

View this table:
TABLE 5

Results of Spearman's rank correlation coefficient for high-resolution computed tomography scores, oscillometry, and spirometry (n=80)

Consistent with the correlation of oscillometric parameters with the HRCT scores, VC, FVC, and FEV1 correlated negatively with the HRCT scores. Meanwhile, FEV1/FVC correlated positively with all HRCT scores (table 5). This showed that restrictive ventilatory deficiency became more severe and airflow obstruction became milder as fibrosis-related lung abnormalities progressed in patients with IPF. Regarding subdivisions of VC, IRV correlated with all HRCT scores, but ERV was not related to any of the scores. These data showed that fibrosis-related lung abnormalities correlated not with forced expiration but rather forced inspiration in patients with IPF.

Discussion

The present study highlights two major findings regarding the utility of oscillometry in IPF: 1) respiratory reactance correlates positively with fibrosis-related lung abnormalities in patients with IPF; and 2) respiratory resistance can be independent of traction bronchiectasis and airflow obstruction in patients with IPF. To the best of our knowledge, this is the largest study to date that assessed the correlation of HRCT findings with oscillometry in patients with IPF.

Respiratory reactance correlates positively with lung fibrosis-related HRCT findings in patients with IPF. In patients with IPF, FVC is a reliable measurement that reflects the clinical conditions [13]. Respiratory reactance correlated positively with FVC and was useful for evaluating disease progression [14]. However, no studies have thoroughly reported the mechanism of how respiratory reactance correlates with FVC. Therefore, the present study investigated the mechanism by analysing the correlations between HRCT scores, spirometry, and oscillometry.

In patients with IPF, reduction of lung compliance tightly correlates with lung fibrosis and occurs in patients with an early stage of IPF [16, 18]. This leads to restrictive ventilatory deficiency and is reflected in the decrease in FVC [16]. Even IPF patients without restrictive ventilatory deficiency have reduction of lung compliance [33]. Lung compliance was considered to correlate with respiratory reactance theoretically [24], but earlier studies failed to show the correlation of lung compliance with respiratory impedance in a small number of patients with IPF [34, 35]. The present study first showed that respiratory reactance correlated with fibrosis-related lung abnormalities in patients with IPF (table 5). Given that respiratory reactance also correlated with FVC that reflects lung compliance and predicts the disease severity in patients IPF [13], respiratory reactance might correlate with lung compliance in patients with IPF. Lung compliance is useful for early diagnosis of IPF because it is markedly reduced even in IPF patients without abnormal HRCT findings [16, 18]. Therefore, assessing the utility of respiratory reactance as a substitute for lung compliance might be useful for early and effortlessly diagnosing IPF patients without abnormal HRCT findings because the measurement of lung compliance requires an invasive technique for patients compared with that of oscillometry [16, 21, 22]. Thus, further studies are necessary to validate this hypothesis and the utility of respiratory reactance.

FEV1/FVC and respiratory resistance can be independent in patients with IPF. As the progressive increase in elastic recoil occurs with worsening pulmonary fibrosis, FEV1/FVC increases as lung compliance is reduced in IPF [36]. Apart from lung fibrosis and restriction, IPF is understood to primarily involve the alveolar regions, but some previous studies have suggested the involvement of the airways [16, 37–39]. Airway epithelial cells proliferate and differentiate with increased numbers of bronchioles in patients with IPF [37–39], and airway dilation occurs as part of the disease process [16]. Therefore, FEV1/FVC of patients with IPF is higher than that of healthy subjects, which shows that airflow obstruction becomes milder in IPF [40]. Hence, respiratory resistance, which is obtained theoretically by dividing respiratory pressure by respiratory airflow, has been considered to decline in IPF [16]. From these observations, both respiratory reactance and resistance were hypothesised to correlate with FEV1/FVC. In fact, the results of this study showed the correlation of FEV1/FVC with respiratory reactance (table 3). However, the present study showed no correlations between respiratory resistance and FEV1/FVC (table 3 and figure 2) and between traction bronchiectasis and respiratory resistance (table 5). These results implied that respiratory resistance and FEV1/FVC reflected different properties of the airways in IPF. The change of FEV1/FVC might have been attributed to fibrosis-related structural abnormalities of the lungs (table 5). However, given that respiratory resistance correlated with ERV but not with fibrosis-related structural abnormalities in the lung (table 5 and figure 3), other mechanisms related to forced expiration might have increased respiratory resistance.

Two possible hypotheses for the mechanism can be explained. First, reduced airway distensibility might increase respiratory resistance during forced expiration. Proximal airways of healthy subjects can expand and decrease airway pressure during forced expiration, but patients with IPF fail to reduce airway pressure because the proximal airways show reduced distensibility [41]. Hence, respiratory resistance might be higher only during forced expiration as the airway distensibility declines. Second, lung surfactant abnormalities might affect respiratory resistance. IPF induces lung surfactant abnormalities and subsequently decreases surface activity of the airways [42]. Reduced surface activity of the airways leads to increased airway resistance and lung compliance [16, 43]. Thus, increased respiratory resistance as a result of reduced surface activity might affect impaired force expiration of IPF. Further investigations are necessary to verify these hypotheses.

The present study had some limitations. First, it was a single-centre retrospective study, and some selection bias might have affected the findings. Second, the present study included only patients with IPF; thus, whether the results can be applicable to patients with CPFE remains unknown. Third, this study did not include healthy subjects, and whether the results are specifically applicable to patients with IPF remains unknown. Finally, this study did not mention the correlation of within-breath changes of oscillometric parameters with spirometric parameters and HRCT findings to generalise the results because oscillometric devices do not necessarily measure inspiratory and expiratory oscillometric parameters separately. Respiratory impedance reportedly changes between inspiratory and expiratory phases in IPF and chronic obstructive pulmonary disease [14, 21]. In particular, inspiratory oscillometric parameters correlated with spirometric parameters in IPF [14]. Therefore, further studies to investigate the utility of inspiratory and expiratory oscillometric parameters are needed in patients with IPF and CPFE.

In conclusion, the present study assessed the correlation of respiratory impedance with fibrosis and traction bronchiectasis in IPF. Respiratory reactance correlates with fibrosis-related HRCT findings. The utility of respiratory reactance should be investigated for early diagnosis of IPF without abnormal HRCT findings because respiratory reactance might be a substitute for lung compliance. Respiratory resistance can be independent of traction bronchiectasis and airflow obstruction in patients with IPF because respiratory resistance might show different properties of the airways. This study provides a theoretical foundation of the utility of oscillometry in IPF.

Supplementary material

Supplementary Material

Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

Supplementary material 00391-2020.SUPPLEMENT

Acknowledgements

The authors thank S. Ito, S. Sakaguchi and T. Uenishi (Laboratory for Clinical Investigation, National Hospital Organization Osaka Toneyama Medical Center, Toyonaka, Japan) for their help with spirometry and oscillometry measurements.

Footnotes

  • This article has supplementary material available from openres.ersjournals.com

  • Author contributions: Y. Yamamoto contributed to the conception and design of the study, data collection and analysis, and wrote the manuscript. K. Miki and K. Tsujino contributed to the design of the study and supervised the manuscript. T. Kuge and F. Okabe contributed to the conception of the study. T. Kawasaki, T. Matsuki, H. Kagawa and M. Miki cared for all patients and contributed to data analyses. H. Kida contributed to supervision of the manuscript. All the authors reviewed and approved the submission of the final manuscript.

  • Conflict of interest: Y. Yamamoto has nothing to disclose.

  • Conflict of interest: K. Miki has nothing to disclose.

  • Conflict of interest: K. Tsujino has nothing to disclose.

  • Conflict of interest: T. Kuge has nothing to disclose.

  • Conflict of interest: F. Okabe has nothing to disclose.

  • Conflict of interest: T. Kawasaki has nothing to disclose.

  • Conflict of interest: T. Matsuki has nothing to disclose.

  • Conflict of interest: H. Kagawa has nothing to disclose.

  • Conflict of interest: M. Miki has nothing to disclose.

  • Conflict of interest: H. Kida has nothing to disclose.

  • Received June 16, 2020.
  • Accepted September 28, 2020.
http://creativecommons.org/licenses/by-nc/4.0/

This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.

References

  1. ↵
    American Thoracic Society. Idiopathic pulmonary fibrosis: diagnosis and treatment. International consensus statement. American Thoracic Society (ATS), and the European Respiratory Society (ERS). Am J Respir Crit Care Med 2000; 161: 646–664. doi:10.1164/ajrccm.161.2.ats3-00
    OpenUrlCrossRefPubMed
    1. Bjoraker JA,
    2. Ryu JH,
    3. Edwin MK, et al.
    Prognostic significance of histopathologic subsets in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med 1998; 157: 199–203. doi:10.1164/ajrccm.157.1.9704130
    OpenUrlCrossRefPubMed
  3. ↵
    1. Flaherty KR,
    2. Toews GB,
    3. Travis WD, et al.
    Clinical significance of histological classification of idiopathic interstitial pneumonia. Eur Respir J 2002; 19: 275–283. doi:10.1183/09031936.02.00182002
    OpenUrlAbstract/FREE Full Text
  4. ↵
    1. Ley B,
    2. Collard HR,
    3. King TE
    . Clinical course and prediction of survival in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med 2011; 183: 431–440. doi:10.1164/rccm.201006-0894CI
    OpenUrlCrossRefPubMed
  5. ↵
    1. King TE,
    2. Tooze JA,
    3. Schwarz MI, et al.
    Predicting survival in idiopathic pulmonary fibrosis: scoring system and survival model. Am J Respir Crit Care Med 2001; 164: 1171–1181. doi:10.1164/ajrccm.164.7.2003140
    OpenUrlCrossRefPubMed
    1. Wells AU,
    2. Desai SR,
    3. Rubens MB, et al.
    Idiopathic pulmonary fibrosis: a composite physiologic index derived from disease extent observed by computed tomography. Am J Respir Crit Care Med 2003; 167: 962–969. doi:10.1164/rccm.2111053
    OpenUrlCrossRefPubMed
    1. du Bois RM,
    2. Weycker D,
    3. Albera C, et al.
    Ascertainment of individual risk of mortality for patients with idiopathic pulmonary fibrosis. Am J Respir Crit Care Med 2011; 184: 459–466. doi:10.1164/rccm.201011-1790OC
    OpenUrlCrossRefPubMed
    1. Ley B,
    2. Ryerson CJ,
    3. Vittinghoff E, et al.
    A multidimensional index and staging system for idiopathic pulmonary fibrosis. Ann Intern Med 2012; 156: 684–691. doi:10.7326/0003-4819-156-10-201205150-00004
    OpenUrlCrossRefPubMed
    1. Kim ES,
    2. Choi SM,
    3. Lee J, et al.
    Validation of the GAP score in Korean patients with idiopathic pulmonary fibrosis. Chest 2015; 147: 430–437. doi:10.1378/chest.14-0453
    OpenUrl
  10. ↵
    1. Oda K,
    2. Ishimoto H,
    3. Yatera K, et al.
    High-resolution CT scoring system-based grading scale predicts the clinical outcomes in patients with idiopathic pulmonary fibrosis. Respir Res 2014; 15: 10. doi:10.1186/1465-9921-15-10
    OpenUrlCrossRefPubMed
  11. ↵
    1. Sumikawa H,
    2. Johkoh T,
    3. Colby TV, et al.
    Computed tomography findings in pathological usual interstitial pneumonia: relationship to survival. Am J Respir Crit Care Med 2008; 177: 433–439. doi:10.1164/rccm.200611-1696OC
    OpenUrlCrossRefPubMed
    1. Robbie H,
    2. Daccord C,
    3. Chua F, et al.
    Evaluating disease severity in idiopathic pulmonary fibrosis. Eur Respir Rev 2017; 26: 170051. doi:10.1183/16000617.0051-2017
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. du Bois RM,
    2. Weycker D,
    3. Albera C, et al.
    Forced vital capacity in patients with idiopathic pulmonary fibrosis: test properties and minimal clinically important difference. Am J Respir Crit Care Med 2011; 184: 1382–1389. doi:10.1164/rccm.201105-0840OC
    OpenUrlCrossRefPubMed
  14. ↵
    1. Mori Y,
    2. Nishikiori H,
    3. Chiba H, et al.
    Respiratory reactance in forced oscillation technique reflects disease stage and predicts lung physiology deterioration in idiopathic pulmonary fibrosis. Respir Physiol Neurobiol 2020; 275: 103386. doi:10.1016/j.resp.2020.103386
    OpenUrl
  15. ↵
    1. Mikamo M,
    2. Fujisawa T,
    3. Oyama Y, et al.
    Clinical significance of forced oscillation technique for evaluation of small airway disease in interstitial lung diseases. Lung 2016; 194: 975–983. doi:10.1007/s00408-016-9949-1
    OpenUrl
  16. ↵
    1. Plantier L,
    2. Cazes A,
    3. Dinh-Xuan AT, et al.
    Physiology of the lung in idiopathic pulmonary fibrosis. Eur Respir Rev 2018; 27: 170062. doi:10.1183/16000617.0062-2017
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Hansell DM,
    2. Bankier AA,
    3. MacMahon H, et al.
    Fleischner Society: glossary of terms for thoracic imaging. Radiology 2008; 246: 697–722. doi:10.1148/radiol.2462070712
    OpenUrlCrossRefPubMed
  18. ↵
    1. Orens JB,
    2. Kazerooni EA,
    3. Martinez FJ, et al.
    The sensitivity of high-resolution CT in detecting idiopathic pulmonary fibrosis proved by open lung biopsy. A prospective study. Chest 1995; 108: 109–115. doi:10.1378/chest.108.1.109
    OpenUrlCrossRefPubMed
  19. ↵
    1. Oostveen E,
    2. MacLeod D,
    3. Lorino H, et al.
    The forced oscillation technique in clinical practice: methodology, recommendations and future developments. Eur Respir J 2003; 22: 1026–1041. doi:10.1183/09031936.03.00089403
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Tse HN,
    2. Tseng CZS,
    3. Wong KY, et al.
    Accuracy of forced oscillation technique to assess lung function in geriatric COPD population. Int J Chron Obstruct Pulmon Dis 2016; 11: 1105–1118. doi:10.2147/COPD.S102222
    OpenUrl
  21. ↵
    1. Kubota M,
    2. Shirai G,
    3. Nakamori T, et al.
    Low frequency oscillometry parameters in COPD patients are less variable during inspiration than during expiration. Respir Physiol Neurobiol 2009; 166: 73–79. doi:10.1016/j.resp.2009.01.007
    OpenUrlCrossRefPubMed
  22. ↵
    1. Horsley A,
    2. Siddiqui S
    . Putting lung function and physiology into perspective: cystic fibrosis in adults. Respirology 2015; 20: 33–45. doi:10.1111/resp.12382
    OpenUrlPubMed
  23. ↵
    1. Shirai T,
    2. Kurosawa H
    . Clinical application of the forced oscillation technique. Intern Med 2016; 55: 559–566. doi:10.2169/internalmedicine.55.5876
    OpenUrl
  24. ↵
    1. Nagels J,
    2. Làndsér FJ,
    3. van der Linden L, et al.
    Mechanical properties of lungs and chest wall during spontaneous breathing. J Appl Physiol Respir Environ Exerc Physiol 1980; 49: 408–416.
    OpenUrlPubMed
  25. ↵
    1. Kaminsky DA
    . What does airway resistance tell us about lung function? Respir Care 2012; 57: 85–99. doi:10.4187/respcare.01411
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Raghu G,
    2. Remy-Jardin M,
    3. Myers JL, et al.
    Diagnosis of idiopathic pulmonary fibrosis. An official ATS/ERS/JRS/ALAT Clinical Practice Guideline. Am J Respir Crit Care Med 2018; 198: e44–e68. doi:10.1164/rccm.201807-1255ST
    OpenUrlCrossRefPubMed
  27. ↵
    1. Cottin V,
    2. Nunes H,
    3. Brillet PY, et al.
    Combined pulmonary fibrosis and emphysema: a distinct underrecognised entity. Eur Respir J 2005; 26: 586–593. doi:10.1183/09031936.05.00021005
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. King GG,
    2. Bates J,
    3. Berger KI, et al.
    Technical standards for respiratory oscillometry. Eur Respir J 2020; 55: 1900753. doi:10.1183/13993003.00753-2019
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Oostveen E,
    2. Boda K,
    3. van der Grinten CPM, et al.
    Respiratory impedance in healthy subjects: baseline values and bronchodilator response. Eur Respir J 2013; 42: 1513–1523. doi:10.1183/09031936.00126212
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Miller MR,
    2. Hankinson J,
    3. Brusasco V, et al.
    Standardisation of spirometry. Eur Respir J 2005; 26: 319–338. doi:10.1183/09031936.05.00034805
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Kubota M,
    2. Kobayashi H,
    3. Quanjer PH, et al.
    Reference values for spirometry, including vital capacity, in Japanese adults calculated with the LMS method and compared with previous values. Respir Investig 2014; 52: 242–250. doi:10.1016/j.resinv.2014.03.003
    OpenUrlPubMed
  32. ↵
    1. Kanda Y
    . Investigation of the freely available easy-to-use software “EZR” for medical statistics. Bone Marrow Transplant 2013; 48: 452–458. doi:10.1038/bmt.2012.244
    OpenUrlCrossRefPubMed
  33. ↵
    1. Zielonka TM,
    2. Demkow U,
    3. Radzikowska E, et al.
    Angiogenic activity of sera from interstitial lung disease patients in relation to pulmonary function. Eur J Med Res 2010; 15: Suppl. 2, 229–234. doi:10.1186/2047-783X-15-S2-229
    OpenUrl
  34. ↵
    1. van Noord JA,
    2. Clément J,
    3. Cauberghs M, et al.
    Total respiratory resistance and reactance in patients with diffuse interstitial lung disease. Eur Respir J 1989; 2: 846–852.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Takeichi N,
    2. Yamazaki H,
    3. Fujimoto K
    . Comparison of impedance measured by the forced oscillation technique and pulmonary functions, including static lung compliance, in obstructive and interstitial lung disease. Int J Chron Obstruct Pulmon Dis 2019; 14: 1109–1118. doi:10.2147/COPD.S198030
    OpenUrl
  36. ↵
    1. Cortes-Telles A,
    2. Forkert L,
    3. O'Donnell DE, et al.
    Idiopathic pulmonary fibrosis: new insights to functional characteristics at diagnosis. Can Respir J 2014; 21: e55–e60. doi:10.1155/2014/825606
    OpenUrlCrossRefPubMed
  37. ↵
    1. Vuorinen K,
    2. Ohlmeier S,
    3. Leppäranta O, et al.
    Peroxiredoxin II expression and its association with oxidative stress and cell proliferation in human idiopathic pulmonary fibrosis. J Histochem Cytochem 2008; 56: 951–959. doi:10.1369/jhc.2008.951806
    OpenUrlCrossRefPubMed
    1. Plantier L,
    2. Debray MP,
    3. Estellat C, et al.
    Increased volume of conducting airways in idiopathic pulmonary fibrosis is independent of disease severity: a volumetric capnography study. J Breath Res 2016; 10: 016005. doi:10.1088/1752-7155/10/1/016005
    OpenUrl
  39. ↵
    1. Chilosi M,
    2. Poletti V,
    3. Murer B, et al.
    Abnormal re-epithelialization and lung remodeling in idiopathic pulmonary fibrosis: the role of deltaN-p63. Lab Invest 2002; 82: 1335–1345. doi:10.1097/01.LAB.0000032380.82232.67
    OpenUrlCrossRefPubMed
  40. ↵
    1. Pastre J,
    2. Plantier L,
    3. Planes C, et al.
    Different KCO and VA combinations exist for the same DLCO value in patients with diffuse parenchymal lung diseases. BMC Pulm Med 2015; 15: 100. doi:10.1186/s12890-015-0084-1
    OpenUrlPubMed
  41. ↵
    1. Baier H,
    2. Zarzecki S,
    3. Wanner A
    . Influence of lung inflation on the cross-sectional area of central airways in normals and in patients with lung disease. Respiration 1981; 41: 145–154. doi:10.1159/000194372
    OpenUrlPubMed
  42. ↵
    1. Günther A,
    2. Schmidt R,
    3. Nix F, et al.
    Surfactant abnormalities in idiopathic pulmonary fibrosis, hypersensitivity pneumonitis and sarcoidosis. Eur Respir J 1999; 14: 565–573. doi:10.1034/j.1399-3003.1999.14c14.x
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Enhorning G,
    2. Yarussi A,
    3. Rao P, et al.
    Increased airway resistance due to surfactant dysfunction can be alleviated with aerosol surfactant. Can J Physiol Pharmacol 1996; 74: 687–691. doi:10.1139/y96-062
    OpenUrlCrossRefPubMed
Back to top
Email
Print
Alerts
Citation Tools
Oscillometry and computed tomography findings in patients with idiopathic pulmonary fibrosis
Yuji Yamamoto, Keisuke Miki, Kazuyuki Tsujino, Tomoki Kuge, Fukuko Okabe, Takahiro Kawasaki, Takanori Matsuki, Hiroyuki Kagawa, Mari Miki, Hiroshi Kida
ERJ Open Research Oct 2020, 6 (4) 00391-2020; DOI: 10.1183/23120541.00391-2020
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo
Full Text (PDF)

Jump To

Subjects