|Year : 2018 | Volume
| Issue : 4 | Page : 212-219
|Assessment of proximal and peripheral airway dysfunction by computed tomography and respiratory impedance in asthma and COPD patients with fixed airflow obstruction
Prapaporn Pornsuriyasak1, Thitiporn Suwatanapongched2, Wasana Thaipisuttikul1, Chayanin Nitiwarangkul2, Theerasuk Kawamatawong1, Naparat Amornputtisathaporn1, Kittipong Maneechotesuwan3
1 Department of Medicine, Division of Pulmonary and Critical Care, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
2 Department of Diagnostic and Therapeutic Radiology, Division of Diagnostic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
3 Department of Medicine, Division of Respiratory Diseases and Tuberculosis, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
|Date of Submission||25-Jan-2018|
|Date of Acceptance||22-Apr-2018|
|Date of Web Publication||10-Oct-2018|
Dr. Prapaporn Pornsuriyasak
Department of Medicine, Division of Pulmonary and Critical Care, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama 6 Road, Ratchatewi, Bangkok 10400
Source of Support: None, Conflict of Interest: None
| Abstract|| |
OBJECTIVE: To ascertain: (i) if elderly patients with fixed airflow obstruction (FAO) due to asthma and chronic obstructive pulmonary disease (COPD) have distinct airway morphologic and physiologic changes; (ii) the correlation between the morphology of proximal/peripheral airways and respiratory impedance.
METHODS: Twenty-five asthma cases with FAO and 22 COPD patients were enrolled. High-resolution computed tomography was used to measure the wall area (WA) and lumen area (LA) of the proximal airway at the apical segmental bronchus of the right upper lobe (RB1) adjusted by body surface area (BSA) and bronchial wall thickening (BWTr) of the peripheral airways and extent of expiratory air trapping (ATexp). Respiratory impedance included resistance at 5 Hz (R5) and 20 Hz (R20) and resonant frequency (Fres). Total lung capacity (TLC) and residual volume (RV) were measured.
RESULTS: Asthma patients had smaller RB1-LA/BSA than COPD patients (10.5 ± 3.4 vs. 13.3 ± 5.0 mm2/m2, P = 0.037). R5 (5.5 ± 2.0 vs. 3.4 ± 1.0 cmH2O/L/s, P = 0.02) and R20(4.2 ± 1.7 vs. 2.6 ± 0.7 cmH2O/L/s, P = 0.001) were higher in asthma cases. ATexp and BWTr were similar in both groups. Regression analysis in asthma showed that forced expiratory volume in one second (FEV1) and Fres were associated with RB1-WA/BSA (R2 = 0.34, P = 0.005) and BWTr (0.5, 0.012), whereas RV/TLC was associated with ATexp (0.38, 0.001).
CONCLUSIONS: Asthma patients with FAO had a smaller LA and higher resistance of the proximal airways than COPD patients. FEV1 and respiratory impedance correlated with airway morphology.
Keywords: Airway wall thickness, airway lumen area, expiratory air trapping, impulse oscillometry, respiratory impedance
|How to cite this article:|
Pornsuriyasak P, Suwatanapongched T, Thaipisuttikul W, Nitiwarangkul C, Kawamatawong T, Amornputtisathaporn N, Maneechotesuwan K. Assessment of proximal and peripheral airway dysfunction by computed tomography and respiratory impedance in asthma and COPD patients with fixed airflow obstruction. Ann Thorac Med 2018;13:212-9
|How to cite this URL:|
Pornsuriyasak P, Suwatanapongched T, Thaipisuttikul W, Nitiwarangkul C, Kawamatawong T, Amornputtisathaporn N, Maneechotesuwan K. Assessment of proximal and peripheral airway dysfunction by computed tomography and respiratory impedance in asthma and COPD patients with fixed airflow obstruction. Ann Thorac Med [serial online] 2018 [cited 2022 Dec 4];13:212-9. Available from: https://www.thoracicmedicine.org/text.asp?2018/13/4/212/243048
People suffering from asthma with airway remodeling may have a fixed airflow obstruction (FAO) phenotype similar to that in patients with chronic obstructive pulmonary disease (COPD), but the mechanisms of FAO in both entities are quite different. In asthma, structural changes in the proximal and small airways are attributed primarily to increased smooth muscle mass, hyperplasia of submucosal glands, and/or eosinophilic infiltration., Unlike asthma, structural changes in COPD usually involve small airways and are largely attributed to fibrosis in the airway wall, which result in reduction of elastic recoil and/or airway luminal narrowing.
A study comparing COPD patients with age-matched older asthma patients with a similar degree of airflow limitation found that the latter had lower residual volume (RV), higher diffusing capacity, and lower emphysema score on high-resolution computed tomography (HRCT). With regard to airway dimensions and air trapping, one study showed no differences between young asthma patients and COPD patients. In contrast, another study showed greater wall thickness of third-to-sixth-generation bronchi on HRCT in age-matched older asthma patients than in COPD patients.
Peripheral airway dysfunction (PAD) can be assessed at the physiologic level by measurement of RV and the ratio of RV to total lung capacity (RV/TLC) to determine air trapping as a result of the early closure of peripheral airways. It can also be assessed by impulse oscillometry (IOS) to detect alterations in respiratory impedance (i.e., peripheral airway resistance and the reactance of the respiratory system). Several studies have shown a direct relationship between increased RV and increased peripheral airway resistance in asthma,,, and COPD. Recent studies have demonstrated that IOS parameters (i.e., the difference between resistance at low frequency (5 Hz, R5) and high frequency (20 Hz, R20) [R5–R20] and resonant frequency [Fres]) can be used to identify PAD in patients with asthma as well as a reduction in reactance at 5 Hz (X5) along with an increase in Fres as physiologic markers of PAD in COPD patients.
We aimed to ascertain: (i) if patients with FAO from asthma and COPD have different morphologic HRCT findings and respiratory impedance; (ii) the correlations of morphologic changes of proximal and peripheral airways with physiologic parameters.
| Methods|| |
This was a prospective cross-sectional study approved by the Ethics Review Board of Ramathibodi Hospital (Mahidol University, Bangkok, Thailand). Written informed consent was obtained from all participants.
We enrolled consecutive asthma and COPD patients aged ≥60 years who had FAO. The latter was defined as forced expiratory volume in one second (FEV1)/forced vital capacity <0.7 and FEV1 ≤80% predicted (after inhalation of 400 μg of salbutamol).
Asthma cases were those with physician-diagnosed asthma based on the Global Initiative for Asthma guidelines 2012, never-smoked status, or nonsignificant smoking history of <10 pack-years and a history of childhood asthma or previously documented variable airflow obstruction to inhaled salbutamol. COPD patients fulfilled the diagnostic criteria of the Global Initiative for Chronic Obstructive Lung Disease guidelines 2013, including a smoking history of ≥10 pack-years. Patients with a history of exacerbation within 8 weeks before entering the study or a history of previous thoracic surgery were excluded from the study.
Demographic data, disease duration, smoking history, symptom score (asthma control test [ACT, range 5–25], modified Medical Research Council dyspnea scale [mMRC, range 0–4], COPD assessment test [CAT, range 0–40]), and medications were recorded.
Computed tomography protocol
HRCT was undertaken on a multidetector-row computed tomography (CT) scanner (Sensation Cardiac 64; Siemens Healthcare, Erlangen, Germany) or Brilliance iCT SP (Philips, Best, The Netherlands). Inspiratory and expiratory HRCT images were acquired using volumetric acquisition in the craniocaudal direction. CT parameters were 64 detectors ×0.5-mm collimation, a gantry rotation time of 0.33 s, and a pitch of 0.9-1.45 depending on the machine used. Before CT, each patient was taught the technique for deep inspiration and breath-hold and how to carry out dynamic forced expiration throughout the scan. End-inspiratory CT images were obtained first using the tube potential of 120 kVp and the tube current-time product of 70–180 mAs. Dynamic forced expiratory CT was done subsequently and coordinated with the onset of the expiratory effort using the tube potential of 100 kVp or 120 kVp and the tube current-time product of 40–100 mAs. Images were retro-reconstructed with a section thickness of 1 mm and section interval of 0.7 mm and with low-and high-spatial-frequency algorithms for mediastinal window (window level, 40 HU; window width, 400 HU) and lung window (window level, −650 HU; window width, 1450 HU) displays, respectively.
Two thoracic radiologists, who were blinded to the diagnosis and clinical data, reviewed HRCT images independently.
Assessment of the morphology of the proximal airways
The morphology of the proximal airways was measured at the apical segmental bronchus of the right upper lobe (RB1) using an electronic outlining tool at the level where its external perimeter was clearly visible. Briefly, the external perimeter and the area within the internal perimeter at inspiration of RB1 were considered to be the total area (RB1-TA) and lumen area (RB1-LA), respectively [Supplement 1]a and [Supplement 1]b. The wall area (RB1-WA) was calculated subsequently by subtracting RB1-LA from RB1-TA. The percentage of RB1-WA (%RB1-WA) was calculated using the formula: 100× (RB1 - WA/RB1 - TA). RB1-TA, RB1-LA, and RB1-WA were then normalized by body surface area (BSA) based on the Du Bois formula.
Assessment of the morphology of the peripheral airways
HRCT images were obtained and magnified (×5-fold) for measurement of bronchial-wall thickness (BWT) at six anatomic zones of each lung [Supplement 2]a: zone 1, between the apex and the crossing left brachiocephalic vein; zone 2, below zone 1 to the mid-aortic arch; zone 3, below zone 2 to the carina; zone 4, below zone 3 to 1 cm below the origin of the right bronchus intermedius; zone 5, below zone 4 to the right inferior pulmonary vein; zone 6, below zone 5 to 1 cm below the right hemidiaphragm dome.
By assuming that BWT was constant on a cross-sectional image, we determined BWT by subtracting the internal diameter of the bronchus from its external diameter (ED) and dividing the remainder by two. The measurement was chosen at the most clearly visible and thickest fourth-generation (subsegmental), fifth-generation (sub-subsegmental) or sixth-generation (sub-sub-subsegmental) bronchi lying perpendicular to or obliquely or transversely on a magnified axial image [Supplement 2]b. The relative BWT (BWTr) was then calculated (BWT/ED). BWTr was graded on a four-point scale: Grade 0, <0.2; Grade 1, 0.2 to <0.4; Grade 2, 0.4 to <0.8; Grade 3, ≥0.8.
Assessment of expiratory air trapping
Visual assessment of ATexp was carried out using a method adapted from a study by Suwatanapongched et al. The dynamic forced expiratory and end-inspiratory HRCT images in each examination were compared for the evaluation of air trapping. ATexp was considered to be present if a lung region exhibited a less than normal increase in attenuation or no change in volume during expiration as compared with the corresponding lung region on paired end-inspiratory CT images. The extent of ATexp was graded on a five-point scale: Grade 0, no visible ATexp; Grade 1, 1%–25%; Grade 2, 26%–50%; Grade 3, 51%–75%; and Grade 4, 76%–100% of the cross-sectional area of each lung zone [Supplement 3].
Assessment of emphysema
Emphysema was considered if there were focal areas of low attenuation (less than − 950 HU on inspiratory HRCT images). The extent of emphysema was graded on a five-point scale: Grade 0, no visible emphysema; Grade 1, 1%–25%; Grade 2, 26%–50%; Grade 3, 51%–75%; and Grade 4, 76%–100% of the cross-sectional area of each lung zone.
The BWTr, ATexp, and emphysema scores from each zone were summed; the possible scores were 0–36, 0–48, and 0–48, respectively.
Pulmonary function tests
All pulmonary function tests were conducted within 1 month before or after HRCT examination. Spirometry, single-breath diffusing capacity of the lungs for carbon monoxide transfer coefficient (K CO), airway resistance (Raw), TLC, and RV were measured with a plethysmograph (Cardinal Health, Yorba Linda, CA, USA) with respect to standard recommendations., Severe airflow obstruction was considered if the postbronchodilator FEV1 was ≤60% predicted in asthma and <50% predicted in COPD. Significant air trapping was considered if the RV/TLC ratio was >40%.
Respiratory impedance was assessed by IOS using a Master Screen™ Impulse Oscillometry (Erich Jaeger, Friedberg, Germany). We measured R5 and R20, which reflect the total and proximal airway resistance, respectively. The difference between R5 and R20 (R5−R20), which reflects peripheral airway resistance, was subsequently calculated. Reactance at 5 Hz (X5) and reactance area (AX), which are markers of changes in pulmonary compliance caused by airflow obstruction, were measured. Fres (the frequency at which the reactance of the respiratory system is zero and at which the total impedance to airflow is entirely flow resistive) was measured. A reduction in X5 and increases in AX area or Fres designate PAD.
Continuous variables are the mean and standard deviation. The unpaired t-test and Mann–Whitney U-test were used for comparisons between groups, as appropriate. Chi-square or Fisher's exact tests were used for comparison of categorical variables between groups. For assessment of the correlations between physiologic parameters and HRCT parameters (RB1 morphology, BWTr, ATexp, and emphysema scores), Pearson correlation or Spearman rank correlation were applied for normal and nonnormal data, as appropriate. A multiple linear regression model with stepwise selection for predicting HRCT parameters was applied further to test variables that were significant on the univariate analysis. To avoid multicollinearity as much as possible, if the correlation coefficient between independent variables was >0.4, each variable was used separately as an independent variable in the model.
The interobserver agreement between the two readers on HRCT scoring for continuous measures was tested using Lin's concordance correlation coefficient (Pearson's ρ). ρ < 0.90 was considered to indicate poor agreement; 0.90–0.95, moderate agreement; 0.95–0.99, substantial agreement; and >0.9, almost perfect agreement. Statistical analyses were done using SPSS v17.0 (SPSS Inc., Chicago, IL, USA). P < 0.05 was considered significant.
| Results|| |
The clinical characteristics and physiologic parameters of the 25 asthma patients and 22 COPD patients are summarized in [Table 1]. The ACT score in asthma was 21.2 ± 3.4, whereas the mMRC and CAT scores in COPD were 1.32 ± 0.6 and 12.6 ± 6.8, respectively.
|Table 1: Clinical characteristics and baseline physiologic parameters of elderly asthma patients with fixed airflow obstruction and chronic obstructive pulmonary disease patients|
Click here to view
High-resolution computed tomography parameters of right upper lobe morphology, bronchial wall thickening, expiratory air trapping, and emphysema
Interobserver agreement showed substantial concordance with the values of Pearson's ρ: 0.98 for RB1-LA and RB1-WA, 0.95 for ATexp, 0.98 for emphysema, and 0.8 for BWTr. The final scoring decision was reached by consensus between the two readers.
RB1 morphology, BWTr, ATexp, and emphysema are shown in [Table 2]. RB1-LA and RB1-LA/BSA were significantly smaller in asthma patients than in COPD patients (P = 0.014 and P = 0.037, respectively). In contrast, BWTr and ATexp scores were not different between the two groups. Three of 25 asthma cases showed a small extent of emphysema with scores of 6, 8, and 9, all of whom had normal K CO.
|Table 2: High-resolution computed tomography right upper lobe apical segmental bronchus morphologic parameters and relative bronchial-wall thickness score and expiratory air trapping score of elderly asthma patients with fixed airflow obstruction and chronic obstructive pulmonary disease patients|
Click here to view
When categorized by FEV1, asthma patients who had FEV1 ≤60% predicted had a higher BWTr score than those who had FEV1 ≥60% predicted [Figure 1]a. There were no differences in ATexp, RB1-LA/BSA, or RB1-WA/BSA between the two asthma subgroups [Figure 1]b, [Figure 1]e and [Figure 1]h. When categorized by air trapping, asthma patients who had a RV/TLC ratio >40% showed a higher ATexp score than those who had a RV/TLC ratio ≤40% and showed a higher ATexp score than COPD patients who had a RV/TLC ratio >40% [Figure 1]d. There were no significant differences in BWTr or ATexp scores or RB1 morphology between COPD subgroups categorized by FEV1[Figure 1]a, [Figure 1]b, [Figure 1]e and [Figure 1]f or the RV/TLC ratio [Figure 1]c, [Figure 1]d, [Figure 1]g and [Figure 1]h.
|Figure 1: Box plot showing the bronchial wall thickening and expiratory air trapping score in asthma and chronic obstructive pulmonary disease categorized by severity assessed by forced expiratory volume in one second (a and b) and residual volume/total lung capacity ratio (c and d). The right upper lobe-lumen area/body surface area, right upper lobe-wall area/body surface area, and right upper lobe-total area/body surface area in both groups plotted in forced expiratory volume in one second and residual volume/total lung capacity categorization are shown in (e-h). *P < 0.05 asthma with forced expiratory volume in one second of ≤60% predicted versus asthma with forced expiratory volume in one second of >60% predicted, and asthma with a residual volume/total lung capacity ratio of >40% versus asthma with a residual volume/total lung capacity ratio of ≤40. **P < 0.05 asthma with a residual volume/total lung capacity ratio of >40% versus chronic obstructive pulmonary disease with a residual volume/total lung capacity ratio of >40%|
Click here to view
Impulse oscillometry parameters
IOS parameters are shown in [Table 3]. Although peripheral airway resistance (R5– R20) was not significantly different, R5 and R20 were significantly greater in asthma cases than in COPD patients (P = 0.022 and P = 0.001, respectively). In addition, a significant reduction in X5 (P = 0.027) with a nonsignificant trend of increasing AX (P = 0.073) was observed toward asthma patients rather than COPD patients.
|Table 3: Impulse oscillometry parameters and airway resistance of elderly asthma patients with fixed airflow obstruction and chronic obstructive pulmonary disease patients|
Click here to view
Correlations between pulmonary function tests and right upper lobe morphology, bronchial wall thickening, and expiratory air trapping
There was an inverse correlation between RB1-WA/BSA and FEV1 (%predicted) in asthma cases (r = −0.4, P = 0.035) and COPD patients (r = −0.6, P = 0.015). In asthma cases, RB1-WA/BSA was correlated with the RV/TLC ratio (r = 0.4, P = 0.04), and RB1-LA/BSA was correlated with airway resistance (Raw) (r = 0.4, P = 0.05). Similar findings were not observed in COPD patients.
In asthma patients, there was an inverse correlation between the BWTr score and FEV1 (%predicted) (r = −0.6, P < 0.001). The BWTr score was correlated with airway resistance (plethysmography) (r = 0.5, P = 0.005) and the RV/TLC ratio (r = 0.5, P = 0.008), whereas the ATexp score was correlated with the RV/TLC ratio (r = 0.6, P < 0.001) [Table 4].
|Table 4: Correlation between high-resolution computed tomography parameters and impulse oscillometry parameters in elderly asthma patients with fixed airflow obstruction and chronic obstructive pulmonary disease patients|
Click here to view
In COPD, the BWTr score was inversely correlated with FEV1% predicted (r = −0.47, P = 0.013). Emphysema score was correlated with TLC %predicted (r = 0.6, P = 0.003) and inversely correlated with K CO (r = −0.6, P = 0.004). IOS parameters were correlated significantly with the ATexp score [Table 4].
Multiple linear regression analysis using the parameters, i.e., FEV1, TLC, K CO (%predicted), RV/TLC, and Fres to predict RB1-WA/BSA, RB1-LA/BSA, and scores of BWTr, ATexp, and emphysema is shown in [Table 5]. In asthma patients, FEV1 (%predicted) together with Fres was independently associated with the RB1-WA/BSA and BWTr score with R2 of 0.34 and 0.50, respectively. RV/TLC was independently associated with the ATexp score with R2 of 0.38 (P = 0.001). In COPD, FEV1 (%predicted) was independently associated with RB1-WA/BSA (R2 = 0.30, P = 0.024) and BWTr score (R2 = 0.22, P = 0.026); Fres was independently associated with the ATexp score (R2 = 0.26, P = 0.016); TLC together with K CO were independently associated with the emphysema score (R2 = 0.7, P = 0.001).
|Table 5: Multiple linear regression models for prediction of right upper lobe apical segmental bronchus wall area adjusted by body surface area, relative bronchial-wall thickness score, air trapping score on expiratory scan, and emphysema scores in elderly asthma patients with fixed airflow obstruction and chronic obstructive pulmonary disease patients|
Click here to view
| Discussion|| |
The present study showed that the morphologic changes of the smaller RB1 LA and higher resistance in proximal airways as assessed by IOS were more obvious in patients with FAO due to asthma than COPD. In contrast, the BWTr score and ATexp score, as well as the resistance and reactance in the peripheral airways of elderly asthma cases, were on a par with those of COPD patients.
HRCT studies in asthma have shown increased thickening of airway walls to be associated with smoking, a longstanding course of asthma, or severe asthma., An increase in the RB1 WA and the wall thickness of peripheral airways as well as air trapping are associated with reduced FEV1. Those findings are consistent with data from our study. We found respiratory impedance (R5 and R5−R20) and reactance to be correlated with RB1-LA/BSA and BWTr. In addition to FEV1, Fres was another independent determinant of RB1-WA/BSA and BWTr.
Despite consistency with studies showing a higher BWTr score in asthma cases with FEV1 <60% predicted than those with FEV1 ≥60% predicted,, no such difference was found in the morphology of proximal airways (RB1) in our study. This could be a result of the effect of treatment with inhaled corticosteroids (affecting mainly the proximal airways, with limited effectiveness in the peripheral airways). In contrast to a study by Kosciuch et al., because our asthma patients had a smoking history of <5 pack-years, increased BWTr was likely attributed to disease severity and the longstanding course of the disease. The ATexp score was correlated closely with the RV/TLC ratio, a finding that is consistent with studies on air trapping in young and old asthma cases. There was no significant difference in increased air trapping between asthma and COPD groups, particularly among those who had FEV1 between 50% predicted and 80% predicted. This finding was in contrast to a study by Hartley et al. using lung density on quantitative CT as a marker of air trapping. They demonstrated that air trapping increased in asthma patients to a lesser extent than in patients with COPD. That study included patients who were younger and with less severe asthma compared with our study. However, when grouping by the RV/TLC ratio, asthma patients with a higher RV/TLC ratio showed a greater ATexp score on HRCT than those with a lower RV/TLC ratio and those with COPD, suggesting that the RV/TLC ratio is superior to FEV1 in depicting air trapping on HRCT.
In COPD, FEV1 was the only determinant for RB1-WA/BSA and BWTr in the regression model. There was poor correlation between the ATexp score and physiologic parameters of air trapping. The possible explanation was a limitation of our technique to distinguish air trapping in emphysematous areas. Further study on the peripheral airways in COPD with more advanced CT technology is required.
Interestingly, increase in RB1-WA and smaller LA in the asthma group suggested remodeling of the proximal airways, and this was a stark difference from the COPD group. This observation is consistent with that from other reports., The IOS parameter of a greater increase in proximal airway resistance (R20) was also observed in asthma patients than in COPD patients without the influence of body size on measurable RB1 morphology in the present study. This phenomenon may be explained by episodic bronchoconstriction of the proximal airways by methacholine provocation, which can cause ongoing airway remodeling. In addition, bronchoconstriction could be associated with intraluminal mucosal folding. This would result in increased amounts of luminal fluid leaking from the airway wall and further enhancing bronchoconstriction to cause proximal airway resistance.
The present study had four main limitations. First, the methacholine test was not carried out for the diagnosis of asthma because a low FEV1 would have exposed participants to airway obstruction. However, asthma patients showed at least one previously documented variable airflow obstruction. Second, owing to its cross-sectional design, the effect of treatment on changes of airway-wall thickness was not explored. Third, bias may have occurred because a semi-quantitative measurement of RB1 morphology and scoring of BWTr and ATexp were conducted manually. Whole-lung measurement was not utilized, so the most clearly visible CT slice at the right apical bronchus and from the 12 dispersed lung zones was chosen judiciously to mitigate bias according to a report by Suwatanapongched et al. CT software for quantitative analyses is recommended, but more time and specialized software are required, which may be inaccessible in resource-limited countries.
| Conclusions|| |
Asthma patients with FAO had a smaller LA and higher resistance of the proximal airways than those in COPD patients. Besides FEV1, respiratory impedance correlated with the RB1-WA and wall thickness of the peripheral airways in asthma and with ATexp in COPD.
We thank Arshad Makhdum, PhD, from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.
Financial support and sponsorship
This study was financially supported by The Pericardia Program of The Royal College of Physicians of Thailand.
Conflicts of interest
There are no conflicts of interest.
| References|| |
Hirota N, Martin JG. Mechanisms of airway remodeling. Chest 2013;144:1026-32.
Górska K, Krenke R, Kosciuch J, Korczynski P, Zukowska M, Domagala-Kulawik J, et al.
Relationship between airway inflammation and remodeling in patients with asthma and chronic obstructive pulmonary disease. Eur J Med Res 2009;14 Suppl 4:90-6.
Jeffery PK. Remodeling in asthma and chronic obstructive lung disease. Am J Respir Crit Care Med 2001;164:S28-38.
Hogg JC, Chu F, Utokaparch S, Woods R, Elliott WM, Buzatu L, et al.
The nature of small-airway obstruction in chronic obstructive pulmonary disease. N Engl J Med 2004;350:2645-53.
Fabbri LM, Romagnoli M, Corbetta L, Casoni G, Busljetic K, Turato G, et al.
Differences in airway inflammation in patients with fixed airflow obstruction due to asthma or chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2003;167:418-24.
Kosciuch J, Krenke R, Gorska K, Zukowska M, Maskey-Warzechowska M, Chazan R, et al.
Relationship between airway wall thickness assessed by high-resolution computed tomography and lung function in patients with asthma and chronic obstructive pulmonary disease. J Physiol Pharmacol 2009;60 Suppl 5:71-6.
Shimizu K, Hasegawa M, Makita H, Nasuhara Y, Konno S, Nishimura M, et al.
Comparison of airway remodelling assessed by computed tomography in asthma and COPD. Respir Med 2011;105:1275-83.
Sorkness RL, Bleecker ER, Busse WW, Calhoun WJ, Castro M, Chung KF, et al.
Lung function in adults with stable but severe asthma: Air trapping and incomplete reversal of obstruction with bronchodilation. J Appl Physiol (1985) 2008;104:394-403.
Kraft M, Pak J, Martin RJ, Kaminsky D, Irvin CG. Distal lung dysfunction at night in nocturnal asthma. Am J Respir Crit Care Med 2001;163:1551-6.
Perez T, Chanez P, Dusser D, Devillier P. Small airway impairment in moderate to severe asthmatics without significant proximal airway obstruction. Respir Med 2013;107:1667-74.
Jain VV, Abejie B, Bashir MH, Tyner T, Vempilly J. Lung volume abnormalities and its correlation to spirometric and demographic variables in adult asthma. J Asthma 2013;50:600-5.
Kolsum U, Borrill Z, Roy K, Starkey C, Vestbo J, Houghton C, et al.
Impulse oscillometry in COPD: Identification of measurements related to airway obstruction, airway conductance and lung volumes. Respir Med 2009;103:136-43.
Anderson WJ, Zajda E, Lipworth BJ. Are we overlooking persistent small airways dysfunction in community-managed asthma? Ann Allergy Asthma Immunol 2012;109:185-900.
Crisafulli E, Pisi R, Aiello M, Vigna M, Tzani P, Torres A, et al.
Prevalence of small-airway dysfunction among COPD patients with different GOLD stages and its role in the impact of disease. Respiration 2017;93:32-41.
Vestbo J, Hurd SS, Agustí AG, Jones PW, Vogelmeier C, Anzueto A, et al.
Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med 2013;187:347-65.
Global Initiative for Asthma Executive Committee. Global Strategy for Asthma Management and Prevention; 2012. Bethesda: Global Initiative for Asthma; c2012. Available from: http://www.ginasthma.org/
. [Last accessed on 2012 Jan 07].
Suwatanapongched T, Thongprasert C, Lertpongpiroon S, Muntham D, Kiatboonsri S. Expiratory air trapping during asthma exacerbation: Relationships with clinical indices and proximal airway morphology. Eur J Radiol 2015;84:2671-8.
Senéterre E, Paganin F, Bruel JM, Michel FB, Bousquet J. Measurement of the internal size of bronchi using high resolution computed tomography (HRCT) Eur Respir J 1994;7:596-600.
Macintyre N, Crapo RO, Viegi G, Johnson DC, van der Grinten CP, Brusasco V, et al.
Standardisation of the single-breath determination of carbon monoxide uptake in the lung. Eur Respir J 2005;26:720-35.
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al.
Standardisation of spirometry. Eur Respir J 2005;26:319-38.
Little SA, Sproule MW, Cowan MD, Macleod KJ, Robertson M, Love JG, et al.
High resolution computed tomographic assessment of airway wall thickness in chronic asthma: Reproducibility and relationship with lung function and severity. Thorax 2002;57:247-53.
Diez Herranz A. RV/TLC% ratio: Alternative criteria of normality. Eur Respir J 1995;8:1812-3.
Oostveen E, MacLeod D, Lorino H, Farré R, Hantos Z, Desager K, et al.
The forced oscillation technique in clinical practice: Methodology, recommendations and future developments. Eur Respir J 2003;22:1026-41.
Goldman MD, Saadeh C, Ross D. Clinical applications of forced oscillation to assess peripheral airway function. Respir Physiol Neurobiol 2005;148:179-94.
McBride GB. Proposal for Strength-of-Agreement Criteria for Lin's Concordance Correlation Coefficient. NIWA Client Report: Hamilton: National Institute of Water & Atmospheric Research; 2005. p. 13. Available from: http://www.medcalc.org/download/pdf/McBride2005.pdf
. [Last accessed on 2012 Mar 14].
Paganin F, Séneterre E, Chanez P, Daurés JP, Bruel JM, Michel FB, et al.
Computed tomography of the lungs in asthma: Influence of disease severity and etiology. Am J Respir Crit Care Med 1996;153:110-4.
Niimi A, Matsumoto H, Amitani R, Nakano Y, Mishima M, Minakuchi M, et al.
Airway wall thickness in asthma assessed by computed tomography. Relation to clinical indices. Am J Respir Crit Care Med 2000;162:1518-23.
Newman KB, Lynch DA, Newman LS, Ellegood D, Newell JD Jr. Quantitative computed tomography detects air trapping due to asthma. Chest 1994;106:105-9.
Niimi A, Matsumoto H, Amitani R, Nakano Y, Sakai H, Takemura M, et al.
Effect of short-term treatment with inhaled corticosteroid on airway wall thickening in asthma. Am J Med 2004;116:725-31.
Kosciuch J, Krenke R, Gorska K, Zukowska M, Maskey-Warzechowska M, Chazan R, et al.
Airway dimensions in asthma and COPD in high resolution computed tomography: Can we see the difference? Respir Care 2013;58:1335-42.
Hartley RA, Barker BL, Newby C, Pakkal M, Baldi S, Kajekar R, et al.
Relationship between lung function and quantitative computed tomographic parameters of airway remodeling, air trapping, and emphysema in patients with asthma and chronic obstructive pulmonary disease: A single-center study. J Allergy Clin Immunol 2016;137:1413-22.e12.
Grainge CL, Lau LC, Ward JA, Dulay V, Lahiff G, Wilson S, et al.
Effect of bronchoconstriction on airway remodeling in asthma. N Engl J Med 2011;364:2006-15.
Wiggs BR, Hrousis CA, Drazen JM, Kamm RD. On the mechanism of mucosal folding in normal and asthmatic airways. J Appl Physiol (1985) 1997;83:1814-21.
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5]
|This article has been cited by|
||Oscillometry and Asthma Control in Patients with and without Fixed Airflow Obstruction
| ||Alice M. Cottee, Leigh M. Seccombe, Cindy Thamrin, Gregory G. King, Matthew J. Peters, Claude S. Farah |
| ||The Journal of Allergy and Clinical Immunology: In Practice. 2022; |
|[Pubmed] | [DOI]|
||Differentiating COPD and asthma using quantitative CT imaging and machine learning
| ||Amir Moslemi, Konstantina Kontogianni, Judith Brock, Susan Wood, Felix Herth, Miranda Kirby |
| ||European Respiratory Journal. 2022; 60(3): 2103078 |
|[Pubmed] | [DOI]|
||Omalizumab in Asthma with Fixed Airway Obstruction: Post Hoc Analysis of EXTRA
| ||Nicola A. Hanania, Spyridon Fortis, Tmirah Haselkorn, Sachin Gupta, Nayla Mumneh, Bongin Yoo, Cecile T.J. Holweg, Bradley E. Chipps |
| ||The Journal of Allergy and Clinical Immunology: In Practice. 2021; |
|[Pubmed] | [DOI]|