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J Appl Physiol 83: 1595-1601, 1997;
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Vol. 83, Issue 5, 1595-1601, 1997

Mechanical impedance of the lung periphery

Z. Hantos1, F. Peták1, Á. Adamicza2, T. Asztalos1, J. Tolnai1, and J. J. Fredberg3

Departments of 1 Medical Informatics and 2 Experimental Surgery, Albert Szent-Györgyi Medical University, H-6720 Szeged, Hungary; and 3 Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts 02115

ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
ACKNOWLEDGEMENTS
FOOTNOTES
REFERENCES


ABSTRACT

Hantos, Z., F. Peták, Á. Adamicza, T. Asztalos, J. Tolnai, and J. J. Fredberg. Mechanical impedance of the lung periphery. J. Appl. Physiol. 83(5): 1595-1601, 1997.---The mechanics of the regional airways and tissues was studied in isolated dog lobes by means of a modified wave-tube technique. Small-amplitude pseudorandom forced oscillations between 0.1 and 48 Hz were applied through catheters wedged in 2-mm-diameter bronchi in three regions of each lobe at translobar pressures (PL) of 10, 7, 5, 3, 2, and 1 cmH2O. The measured regional input impedances were fitted by a model containing the resistance (R1) and inertance (I) of the regular (segmental) airways, the resistance of the collateral channels (R2), and the damping (G) and elastance (H) of the local tissues. This model gave far better fits to the data on impedance of the lung periphery than when G and H were replaced by a single tissue compliance, which explains why interruption of segmental flow did not lead to monoexponential pressure decay in previous studies. The interlobar and intralobar variances of the parameters were equally significant, and poor correlations were found between the airway parameters R1 and R2 and between any airway and tissue parameter (e.g., R1 and H). R2 was on average ~10 times higher than R1, although the R2-to-R1 ratios and their dependencies on PL were regionally highly variable. However, for the total of 33 regions studied, the PL dependence was the same for R1 and R2, which may reflect similar morphological structures for the regular and collateral airways. The dependencies of G and H on PL showed high interregional variations; generally, however, they assumed their minima at medium PL values (~5 cmH2O).

collateral airways; collateral resistance; airway resistance; pulmonary elastance; lung tissue resistance


INTRODUCTION

THE RESISTANCE of the collateral airways (Rcoll) has been measured extensively to characterize the properties of the small airways. The most common approach to the measurement of Rcoll is the use of a fiber-optic bronchoscope wedged in bronchi 5-6 mm in diameter, with one channel to lead constant airflow (Vcoll) into the periphery and another to measure the pressure at the bronchoscope tip (Pb) (10). This technique has been used to establish the baseline variability of Rcoll (15, 22, 25), the dependencies of Rcoll on gas composition (19) and lung volume (11, 12, 23, 26), the changes in Rcoll in response to various constrictor agents (1, 7, 12-15, 24), and the difference in Rcoll between normal and asymptomatic asthmatic subjects (25). However, the fundamental question of whether the behavior of Rcoll is similar to that of the resistance of small bronchi of the "regular" airway tree remains controversial (14, 23). In addition, we know little about the dynamic properties of the structures associated with the collateral pathways: the only dynamic approach addressed the mechanical responses to the interruption of constant Vcoll (11, 14, 24, 26).

The purpose of the present study was to develop a technique for the measurement of the input impedance of the lung periphery (Zp), as seen at the distal end of a catheter wedged in a 2-mm-diameter peripheral bronchus. We demonstrate that, from the Zp data of an appropriate frequency range, parameters characterizing 1) the distal regular airway tree, 2) the local tissue compartment, and 3) the collateral channels leading to adjacent converging airways can be estimated separately.


MATERIALS AND METHODS

Preparation of lobes. We obtained five diaphragmatic, four cardiac, and four apical lobes from four mongrel dogs weighing from 18 to 24 kg. The animals were anesthetized with 30 mg/kg pentobarbital sodium, heparinized (5,000 U), and exsanguinated via a femoral artery. The whole lungs were removed, and the selected lobe was cannulated in the main bronchus with an 8- to 12-mm-inner diameter (ID) metal tube. The lobe was inflated to a pressure (PL) of 30 cmH2O to check for leaks, and the bronchial cannula was then attached to a short tube mounted in the lid of an airtight glass box (15 liters). The lobe suspended in the box was reinflated to a PL of 30 cmH2O by sucking air from the box with a membrane pump (model MP 03 Ez, Otto Huber), and a slightly curved polyethylene catheter (20-30 cm, 1.526 mm ID) with a bell-shaped metal end (rim diameter 2.3 mm) was introduced through the lid tube into the main bronchus until it wedged in a peripheral airway. The lobe was deflated to a PL of 5 cmH2O, and the catheter was gently pulled to ascertain that the rim of the metal end was fixed in the bronchial wall. Air was blown in and withdrawn through the catheter with a syringe to examine the surface movements of the subtended peripheral region. This procedure was repeated with two more catheters, which were guided in different directions to avoid measurements in adjacent regions. The bottom of the box was covered with wet gauze to keep the lobe surface moist.

Measurement of Zp. The wedged catheters were connected to a loudspeaker-in-box system through 42-cm lengths (L1) of the same polyethylene tubing (Fig. 1). These sections served as wave tubes and were equipped with side-arms and miniature transducers (ICS model 33NA002D) for measurement of the lateral pressures at their proximal (P1) and distal (P2) ends. The loudspeaker was driven by a computer-generated pseudorandom signal containing 26 noninteger-multiple components between 0.1 and 47.65 Hz, resulting in a P1 value of <1.5 cmH2O peak to peak. The signals of P1 and P2 were low-pass filtered (5th-order Butterworth, corner frequency 50 Hz), and digitized at a sampling rate of 204.8 Hz by an analog-to-digital board of an AT486 IBM-compatible computer. The pressure transfer functions P1/P2 were computed by fast Fourier transformation from the 30-s recordings by using 20-s time windows and 95% overlapping. From the P1/P2 spectra, Zp was derived as the local input impedance seen at the distal end of the wedged catheter, as described in detail previously (20)
Zp = Zo<SUB>2</SUB>[Zo<SUB>2</SUB> tanh(&ggr;<SUB>2</SUB><IT>L</IT><SUB>2</SUB>) − Z]/[Z tanh(&ggr;<SUB>2</SUB><IT>L</IT><SUB>2</SUB>) − Zo<SUB>2</SUB>]
where
Z = Zo<SUB>1</SUB> sinh(&ggr;<SUB>1</SUB><IT>L</IT><SUB>1</SUB>)/[(P<SUB>1</SUB>/P<SUB>2</SUB>) − cosh(&ggr;<SUB>1</SUB><IT>L</IT><SUB>1</SUB>)]
where Zo and gamma  are the characteristic impedance and the complex propagation wave number, respectively, both determined by the geometrical data and the material constants of the tube and the air, and L is the length of the tube (3, 4). The indexes 1 and 2 refer to the wave tube and the wedged catheter, respectively.
Fig. 1. Schematic arrangement of wave-tube measurement of regional lung mechanics. L1 and L2: 42-cm lengths of polyethylene tubing (wave tube and wedged cathether, respectively); P1 and P2: lateral pressures at proximal and distal ends, respectively, of 3 wave tubes; nos. in parentheses, wave tubes and wedged catheter; PL, translobar pressure. See text for explanation.
[View Larger Version of this Image (22K GIF file)]

Protocol. Zp was determined successively at PL of 10, 7, 5, 3, 2, and 1 cmH2O. After slow (>2 min) deflation from 30 to 10 cmH2O and to every subsequent level of PL, the lobe was kept at constant PL for a >1-min period before the measurement started so that an equilibrium state could be reached after the stress recovery. The total run on a lobe lasted for <30 min.

Airway casts. On each day of experimentation, casts of the peripheral airways were made in the lobe measured last. The peripheral regions were filled by gravity through each catheter with a two-component epoxy resin from containers of ~5-ml volume. PL was regulated at 5 ± 0.5 cmH2O for ~20 h, and the lobe was then removed from the box; the filled regions were subsequently dissected and placed in a bath of 40% NaOH to digest the tissues.

Parameter estimation. The Zp data were evaluated on the basis of simple models that were considered adequate to describe the gross mechanical behavior of the lung periphery (Fig. 3, inset). We reasoned that such a model should include a resistive (R1) and an inertive (I) parameter representing the regular airways between the catheter end and the alveoli, and another resistance (R2) corresponding to the collateral channels, but also including the resistance of the airway network of the adjacent regions. There should also be a shunt element interposed between the R1-I segment and R2; in one model version, we applied a pure compliance (C) to represent both the distensibility of the regional tissues and the compliance of the alveolar gas, whereas, in the other version, C was substituted for by a constant-phase tissue unit (9) characterized by an elastic (H) and a viscous (G) parameter, or their ratio (eta ) = G/H, i.e., tissue hysteresivity (5). Although it would have been structurally relevant to assume another inertance (I2) in series with R2, it was probably because of the effect of shunt impedance that the inclusion of I2 did not result in either realistic values of this parameter or an improvement in fitting.
Fig. 3. Illustration of model fitting to impedance data (open and closed circles) measured in 2 regions of lobe 13 at PL of 7 cmH2O in terms of resistance (A) and reactance (B). Thin and thick lines, fitting curves from models a and b, respectively. Inset: schematics of 2 models. R1 and R2: resistance of "regular" and collateral airways, respectively; I, inertance; C, compliance (shunt); eta , hysteresivity. See text for explanation.
[View Larger Version of this Image (20K GIF file)]

The model parameters were estimated by means of a global optimization procedure (2) minimizing the relative objective function or fitting error (F)
<IT>F</IT> = {(1/<IT>m</IT>) <LIM><OP>∑</OP><LL><IT>i</IT>=1</LL><UL><IT>m</IT></UL></LIM> [‖Zp(&ohgr;<SUB><IT>i</IT></SUB>) − Zm(&ohgr;<SUB><IT>i</IT></SUB>)‖<SUP>2</SUP>/‖Zp(&ohgr;<SUB><IT>i</IT></SUB>)‖<SUP>2</SUP>]}<SUP>1/2</SUP>
where Zp and Zm are the measured and modeled impedances, respectively, at frequencies omega i (1 <=  i <=  m).

Statistical procedures. Student's t-test was used to compare the PL dependencies of R1 and R2. The between- and within-lobe variabilities of model parameters were compared by determining Wilks's lambda from the analysis of variance.


RESULTS

An example of Zp data obtained at different levels of PL is presented in Fig. 2. With decreasing PL, the real part of Zp (Rep) progressively increased, and the imaginary part of Zp (Imp) assumed more negative values at medium and low frequencies. Overall, the frequency dependencies of Zp were different for the different lobes and for the different regions within one lobe at the same PL, and they were greatly affected by the PL values in all regions. We considered the frequency dependencies to be characteristic when Rep was of a sigmoid shape, delineating plateaus toward both the lowest and highest frequencies, and when this was associated with Imp first falling and then increasing with frequency. In these cases, the model fitting gave stable and unique parameter estimates, whereas from some Zp data either the zero-frequency Rep (= R1 + R2), corresponding to Rcoll in the constant-flow technique, or, conversely, the high-frequency Rep (= R1) was not well determined, i.e., multiple sets of parameters with comparable F-values were found. Because of the lack of a characteristic frequency dependence, we had to discard the measurements at PL of 10 cmH2O in two regions and at PL of 10 and 7 cmH2O in another two regions. As substantiated by high impedance magnitudes (>106 cmH2O · s · l-1) and irregular frequency dependencies, airway closures near the tip of the catheter occurred at 1 cmH2O in eight regions and at 2 cmH2O in a further five regions. In addition, the measured data were retained only for those regions where Zp was interpretable in terms of model parameters at >= 4 levels of PL. Eventually, with regard to the 13 lobes and the corresponding 39 regions, there were 7 and 6 lobes where 3 and 2 regions, respectively, were studied successfully; of the 33 regions, 16 remained where model parameters could be derived at all PL levels.


Fig. 2. Input impedance of a lung region at different PL in terms of resistance (A) and reactance (B).
[View Larger Version of this Image (23K GIF file)]

There was a consistent difference in fitting quality between the two models (Fig. 3). The model including the tissue parameters G and H (model b) gave excellent fits to the data in most cases [the average F-value was 3.05 ± 1.28 (SD) % for all Zp data], whereas the fitting of the model with shunt C (model a) always resulted in higher F-values (10.00 ± 4.17% for all Zp data), reflecting significant systematic deviations from Zp, as shown in Fig. 3. Therefore, the parameters of the latter model are not reported here.

We found marked differences in the parameters estimated in the different regions of the same lobe. This is exemplified in Fig. 4, where the values of R1 and R2 are plotted against PL for the five regions of two lobes. The interlobar and intralobar differences were comparable in both the values of R1 and R2 and the slopes of their PL dependence. All the individual dependencies appeared linear in the log-log plot. The dissipative and elastic parameters of the local tissues, obtained in the same regions as in Fig. 4, are plotted against PL in Fig. 5. These graphs illustrate that, in addition to the equally significant interlobar and intralobar variabilities of G and H at a given PL, marked differences may exist in the value of PL at which these parameters assume their minimum. At higher values of PL, the changes in G and H are more interrelated, as indicated by the fairly constant values of eta . The analysis of variance, performed on the parameter values obtained at PL of 5 cmH2O, resulted in values of Wilks's lambda ranging from 0.46 to 0.60; these figures indicate that, for every parameter, approximately one-half of the total variance is explained by the intralobar variance.


Fig. 4. R1 (A) and R2 (B) vs. PL in 3 regions of lobe 3 (open symbols) and 2 regions of lobe 11 (closed symbols). Lines, regressions on log-log scale.
[View Larger Version of this Image (15K GIF file)]


Fig. 5. Dependencies of tissue damping (G; A), elastance (H; B), and hysteresivity (C) on PL in 3 regions of lobe 3 (open symbols) and 2 regions of lobe 11 (closed symbols).
[View Larger Version of this Image (18K GIF file)]

Data obtained in the 16 regions where the parameter values were available at all PL levels are pooled in Figs 6 and 7. The relationships between PL and the mean values of the airway parameters are closely linear on a log-log scale (Fig. 6), which corresponds to power functions of the form a(PL)b. It is noteworthy that the values of exponent b are almost the same for R1 and R2 (-1.79 and -1.78, respectively). We note, however, that the individual values of b for R1 and R2 were not correlated (r2 = 0.223). The values of a (3.49 and 4.57, respectively) show that, on average, the R2 values were ~10 times higher than the R1 values. The dependence of I on PL appears similar, although at high PL levels the mean values of I are close to zero and unreliable because of the great scatter in the data. The average tissue parameters, shown in Fig. 7, display characteristic PL dependencies: both G and H exhibit their minimum values at medium PL (between 4 and 6 cmH2O). Nevertheless, the increase in G toward low PL values is steeper than that in H, in accordance with the augmented increase in eta  at the lowest PL values.


Fig. 6. R1 (A) and I (B) of regular airways and R2 (C) plotted against PL. Values are means ± SE from 16 regions with no missing data. Lines, regressions on log-log scale.
[View Larger Version of this Image (12K GIF file)]


Fig. 7. G (A), H (B), and eta  (C) vs. PL. Values are means ± SE from 16 regions with no missing data.
[View Larger Version of this Image (14K GIF file)]

These relationships do not change much if data collected from all 33 regions are considered. The individual log-log regressions between R1 and PL and R2 and PL resulted in similar values of exponent a: -1.96 ± 0.58(SD) and -1.84 ± 0.40, respectively (statistically not significantly different). These individual regressions were characterized by high correlation coefficients (r2 = 0.942 ± 0.042 and 0.975 ± 0.032, respectively, P < 0.001). Again, R2 was on average ~10 times higher than R1.

The interdependence of the model parameters was studied for data obtained at PL of 5 cmH2O. Interestingly, the parameters R1 and R2 were uncorrelated (r2 = 0.0012), and very weak positive correlations were observed between H and R2 (r2 = 0.180), H and R1 (r2 = 0.293), and I and R1 (r2 = 0.288). The only close relationship was found between G and H (r2 = 0.724).


DISCUSSION

The purpose of this study was to estimate the parameters characterizing the regular segmental airways, the collateral pathways, and the local parenchymal tissues on the basis of the mechanical response of isolated dog lung regions to broad-band forced oscillations. We used the modified wave-tube method to determine the mechanical input impedance of peripheral lung units belonging to small (~2-mm-diameter) bronchi. The Zp data measured at PL values between 1 and 10 cmH2O exhibited a characteristic frequency dependence in most regions, and this resulted in stable parameter estimates with low and nonsystematic F-values.

Through a comparison of the R1 and R2 values derived from our measurements, a key problem of collateral ventilation is addressed. The Rcoll values determined with the wedged bronchoscope technique are widely regarded as a measure of small airway resistance, although the morphological background of Rcoll contains some hypothetical elements (17), and there is still some controversy concerning the similarity in mechanical behavior of the segmental (regular) and collateral airways. Most authors conclude that both airway compartments display similar dependencies on PL or lung volume (12, 19) and respond similarly to constrictor stimuli (1, 12, 13, 17), whereas others find the segmental airway resistance to be negligible in comparison with Rcoll (14), or even independent of lung volume (11). In the present study, stable values of R1 were estimated from the frequency-domain measurements at all PL levels in most regions, and the mean value of the R1-to-R2 ratios (R1/R2) at PL of 5 cmH2O (0.115) falls into the wide variety and range of data reported previously: from 0.01 to 0.1 (23), 0.15 (11), and from 0.11 to 0.2 (6). However, it is equally notable that the range of our individual R1/R2 values extends from 0.012 to 0.497. The latter wide range results primarily from the scatter in the R2 data, i.e., the considerable interregional variability in the number and size of collateral channels belonging to a given segment. This variability was also demonstrated by the airway casts, in which the segmental airways forming a dense network and the sparse fragments of the adjacent segmental airway systems, filled through the collateral channels, were clearly distinguishable (Fig. 8). The number of secondary casts belonging to a primary segment varied between one and five. However, the geometry of the collateral channels determining the R2 values remained unknown because, as in the study by Sasaki et al. (23), the dense cast did not allow us to identify the junctions between the primary and secondary casts.


Fig. 8. Epoxy resin cast of a peripheral airway region.
[View Larger Version of this Image (101K GIF file)]

In addition to R1/R2, wide ranges characterized all relationships between any parameter pairs except G and H: their ratio, reflecting the hysteresivity of the local parenchyma (5), was relatively stable. The lack of correlations between the parameters points to the huge variability in the segmental architecture within the lung. Our data indicate that not only can the tissue impedances and the Rcoll belonging to a given R1 and a PL level be extremely variable but also their patterns of PL dependence can similarly exhibit high interregional differences (see Figs. 4 and 5). In view of these purely mechanical properties, it is not surprising that the responses to constrictor stimuli are characterized by a significant interregional variability (15).

The peripheral lung unit, the input impedance of which we measured, can be conceived as a tiny and leaky lung. Indeed, the ratio of the "regular" airway resistance (R1) to the local tissue elastance (H) at a PL of 5 cmH2O was, on average, 0.021 s, a value comparable to the range found for the total airway resistance-to-tissue elastance ratios (0.007-0.019 s) when small-amplitude oscillations were applied in open-chest dogs and isolated dog lungs (21). We consider it very noteworthy, however, that finite R2 values characterized all Zp data until Zp suddenly became huge and irregular at a low PL level. There was only a single measurement at PL of 2 cmH2O in one region where the frequency dependence of Zp corresponded to that of a miniature lung without leaks (the value of R2 was identified as >1014 cmH2O · s · l-1). These observations suggest that with decreasing lung volume the collateral channels remain patent as long as the regular airways are open. The similar mechanical behavior of these two airway systems, extending to the near-closure states, supports Mitzner's (17) conclusion that the main pathways for Vcoll are pairs of normal airways from neighboring segments, connected at the level of a joint alveolar duct.

In a discussion of our parameter values in the context of data obtained with the wedged bronchoscope technique, two questions must be addressed. First, there were differences in the sizes of the regions measured with these methods because the usual diameter of the bronchoscope (5-6 mm) determines larger segments than those accessed in the present study. Accordingly, the R1 + R2 values we obtained at PL of 5 cmH2O [6,950 ± 2,903 (SE) cmH2O · s · l-1] are considerably higher than the baseline Rcoll values reported from wedged bronchoscope studies, which generally fall in the range from 200 to 2,000 cmH2O · s · l-1 (6, 11, 14, 15, 24-26).

Second, from a methodological point of view, the wave-tube oscillation of the lung region can be regarded as the frequency-domain counterpart of the combined techniques of wedged bronchoscope and flow interruption. The difference between the two dynamic measurements lies in the amount of information extractable from transient analysis vs. multifrequency oscillations, particularly in the presence of corrupting noise. The sudden drop in Pb after the interruption of flow may be difficult to read, and this might have contributed to the contradictory reports on the value of segmental airway resistance (i.e., R1) in some studies (11, 14, 24). Traditionally, the whole decay in Pb has been considered to be an exponential (mono- or multiexponential) process (11, 14, 22, 24, 26) and analyzed accordingly in terms of time constants (Tcoll). Ludwig et al. (14) found that at low values of interrupted flow the decay process was well described by a single exponential, whereas at higher flow rates biexponential fitting was required; they concluded that this behavior was consistent with the response of a single nonlinear mechanical compartment.

Our frequency-domain study demonstrates that, even within the limits of linear behavior, the peripheral lung unit cannot be described by a single Tcoll, i.e., the product of Rcoll and the segmental compliance (C). Indeed, the F-values decreased by 69% on average, and the systematic impedance misestimations disappeared when C, representing the tissues, was replaced by a constant-phase impedance (Fig. 3). In terms of time-domain behavior, we introduced the power function pressure-relaxation process of the form t-k, where k is a function of eta  and H (8, 9), in place of the exponential function e-t/Tcoll. This clearly indicates that from the exponential analysis of the model a fittings one can obtain an ideal compliance characterizing the size or the effective elasticity of the tissue unit (14, 22, 26) but not the viscoelastic properties thereof. In contrast, from the fitting of model b both G and H are available. Our results reveal that the estimates of both the elastance and viscous damping parameters (i.e., G and H, respectively) are reasonable (see Fig. 7): they have minimum values at medium or physiological values of PL (i.e., between 3 and 8 cmH2O), and the corresponding values of eta  agree with data obtained previously for parenchymal hysteresivity (5, 8, 9, 16). However, the unrealistically high values of eta  estimated at low PL, still associated with a good fitting performance of the model, suggest that eta  and G include components of not real tissue origin. These virtual components might be due to increased heterogeneity in the most peripheral segmental airways and/or among multiple collateral pathways, via a mechanism analogous to that suggested for the case of the constricted lung (8) and confirmed experimentally in recent work (16).

In summary, from the broad-band peripheral impedance data obtained with a modified wave-tube technique in isolated dog lobes at different PL, we estimated the resistances of the segmental and collateral airways separately, in addition to the elastic and viscous parameters of the surrounding parenchyma. Although the parameters and their relationships were characterized by a high interregional variability, the segmental and collateral airways exhibited the same overall mechanical behavior, suggesting common morphological properties for these pathways.


ACKNOWLEDGEMENTS

The authors thank Dr. Krisztina Boda for statistical advice and I. Kopasz and L. Vígh for excellent technical assistance.


FOOTNOTES

   This study was supported by National Institutes of Health Fogarty International Research Collaboration Award R03 TW00092 and Hungarian National Research Fund Grant OTKA T 016308.

Address for reprint requests: Z. Hantos, Dept. of Medical Informatics, Albert Szent-Györgyi Medical Univ., PO Box 2009, H-6701 Szeged, Hungary (E-mail: hantos{at}dmi.szote.u-szeged.hu).

Received 21 January 1997; accepted in final form 1 July 1997.


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