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J Appl Physiol 82: 943-953, 1997;
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Journal of Applied Physiology
Vol. 82, No. 3, pp. 943-953, March 1997
GAS EXCHANGE, MECHANICS, AND AIRWAYS

High-resolution maps of regional ventilation utilizing inhaled fluorescent microspheres

H. Thomas Robertson, Robb W. Glenny, Derek Stanford, Lynn M. McInnes, Daniel L. Luchtel, and David Covert

Division of Pulmonary and Critical Care Medicine, Department of Medicine, and Departments of Atmospheric Sciences, Environmental Health, and Statistics, University of Washington, Seattle, Washington 98195-6522

ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
ACKNOWLEDGEMENTS
FOOTNOTES
REFERENCES


ABSTRACT

Robertson, H. Thomas, Robb W. Glenny, Derek Stanford, Lynn M. McInnes, Daniel L. Luchtel, and David Covert. High-resolution maps of regional ventilation utilizing inhaled fluorescent microspheres. J. Appl. Physiol. 82(3): 943-953, 1997.---The regional deposition of an inhaled aerosol of 1.0-µm diameter fluorescent microspheres (FMS) was used to produce high-resolution maps of regional ventilation. Five anesthetized, prone, mechanically ventilated pigs received two 10-min inhalations of pairs of different FMS labels, accompanied by intravenous injection of 15.0-µm radioactive microspheres. The lungs were air dried and cut into 1.9-cm3 pieces, with notation of the spatial coordinates for each piece. After measurement of radioactive energy peaks, the tissue samples were soaked in 2-ethoxyethyl acetate, and fluorescent emission peaks were recorded for the wavelengths specific to each fluorescence label. The correlation of fluorescence activity between simultaneously administered inhaled FMS ranged from 0.98 to 0.99. The mean coefficient of variation for ventilation for all 10 trials (47.9 ± 8.1%) was similar to that for perfusion (46.2 ± 6.3%). No physiologically significant gravitational gradient of ventilation or perfusion was present in the prone animals. The strongest predictor of the magnitude of regional ventilation among all animals was regional perfusion (r = 0.77 ± 0.13).

pulmonary aerosol deposition; ventilation heterogeneity; ventilation-perfusion heterogeneity; gravitational gradient; radial gradient; pigs


INTRODUCTION

THE OVERALL EFFICIENCY of pulmonary gas exchange is determined by the matching of ventilation to pulmonary blood flow within the lung. The established method to characterize this match of gas and blood flow is the multiple inert-gas-elimination technique (MIGET) (23). Although this technique has provided important insight into lung function, it cannot provide spatial information on the distribution of ventilation-perfusion heterogeneity within the lung. Information on the regional distribution of ventilation and perfusion has been obtained from radionuclide labels marking blood flow and regional ventilation, with recent studies utilizing either single-photon emission tomography or positron emission tomography (PET). Although a number of different investigational approaches have been applied to the characterization of ventilation-perfusion heterogeneity by application of radionuclide scans, all of these methods confront two limitations. First, the ventilation and blood flow markers cannot be administered simultaneously. The temporal shifts observed in pulmonary blood flow distribution (9) raise a concern for error introduced by any sequential imaging procedure. Second, the best resolution attainable even for PET images is limited by the distance a positron can travel in lung before encountering an electron. This artifact ensures that the resolving power of PET in the lung can never surpass 1-2 cm3, which will minimize the estimate of spatial heterogeneity. Spatial heterogeneity of perfusion in the lung has fractal characteristics (4, 13, 16) that dictate that the extent of heterogeneity measured is dependent on resolution of the data set. The purpose of the present study was to establish a high-resolution measurement of regional ventilation that could be measured simultaneously with regional perfusion at the same level of resolution, thereby permitting acquisition of accurate spatial information on the distribution of ventilation-perfusion heterogeneity.

Radionuclide scans of 99mTc-labeled 0.01-µm aerosol deposited in the lung correlate well with scans of regional ventilation measured with radioactive gases at the level of resolution attained with clinical radionuclide scanners (1). It is not established, however, that an aerosol deposition method faithfully reflects regional ventilation at higher degrees of spatial resolution. At the alveolar level, gases are distributed primarily by diffusion, whereas the deposition of aerosols in the 1.0-µm range is determined by inertial and gravitational influences (3). Both modeling studies (5, 6, 20) and studies of radioactive aerosol deposition in isolated lungs (21) have suggested that at normal respiratory rates, as long as the inhaled particles maintain an aerodynamic diameter of <2.0-µm, only a minor fraction of the particles will deposit in conducting airways. With appropriate choices of ventilatory parameters and aerosol characteristics, the deposition of aerosol can provide a sufficient estimate of regional ventilation for a lung volume of sufficient size to ensure that convective flow is the predominant factor influencing movement of both gases and aerosols to that volume.

Zeltner et al. (26) exposed spontaneously breathing hamsters to an aerosol of 0.9-µm fluorescent microspheres (FMS). Subsequent microscopic examination of the hamster lungs revealed that 95% of the FMS were deposited in gas-exchanging regions of the lungs. From the work by Zeltner et al. (26) and previous theoretical studies, it appeared plausible that pulmonary deposition of FMS aerosols could be used to characterize overall ventilation heterogeneity at a high level of resolution. An advantage afforded by FMS aerosols in contrast to the radionuclide labels is that at least eight different fluorescence labels can be incorporated into uniformly sized aerosol particles (10), providing the opportunity for sequential measurements of ventilation distribution.

The fractal properties of perfusion distribution in the lung (12, 13) raise the question of whether this same property will be present in the ventilation distribution. High-resolution studies of pulmonary parenchymal movement during tidal ventilation (14, 18) provided evidence that pulmonary ventilation may possess the same characteristic of scale-dependent heterogeneity as that observed for pulmonary blood flow. However, the relationship of high-resolution measurements of parenchymal movement to alveolar ventilation is indirect; simultaneous measurements of regional pulmonary blood flow were not included in these studies. Wilson and Beck (25) provided an estimate of ventilation heterogeneity based on measurements of pulmonary blood flow from systematically sampled small pieces of lung combined with ventilation-perfusion heterogeneity estimates made by MIGET (22). Although an estimate of ventilation heterogeneity was obtained, this approach required an assumed correlation between regional ventilation and perfusion.

Simultaneous comparison of the heterogeneity of regional ventilation to the heterogeneity of regional perfusion has not been reported at the high level of resolution attained in recent studies of perfusion heterogeneity in the lung. A preliminary report on experiments utilizing goat lungs with simultaneously administered intravascular and aerosol radionuclide markers, cut and analyzed at comparable high resolution, has demonstrated high correlation between ventilation and perfusion (15). Although the abstract itself did not specifically compare the observed heterogeneity of ventilation with that of perfusion, the information was available at the time of presentation. The obvious expectation of simultaneous high-resolution measurements of ventilation and perfusion would be that heterogeneity of ventilation would equal that of perfusion, with a high correlation between the two measurements. Another equally plausible hypothesis, consistent with the observed homogeneity of overall pulmonary gas exchange, would be a smaller degree of regional ventilation heterogeneity in comparison with perfusion heterogeneity. By this hypothesis, the alveolar gas composition within adjacent regions would be homogenized by both reinspired dead space gas and by collateral ventilation, so that the end-capillary gas concentrations would be more similar than would otherwise be predicted from the heterogeneous perfusion. Hence a lower overall heterogeneity of regional ventilation would be predicted. Simultaneous measurement of ventilation and perfusion in the lung at the same level of resolution is needed to test these two hypotheses.

This study introduces a method of inhaled FMS administration that provides high-resolution maps of regional ventilation; it also demonstrates that adequate fluorescence signals can be attained to provide data comparable with data obtained from pulmonary perfusion studies using FMS. FMS measurements of regional distribution of pulmonary ventilation are paired with simultaneous measurements of regional blood flow to define overall ventilation-perfusion heterogeneity and to determine spatial distribution for the two parameters.


METHODS

Study protocol. The experimental protocol was approved by the University of Washington Animal Care Committee. Measurements were performed on five anesthetized juvenile pigs (weight range 11-18 kg) of either sex. Anesthesia was initiated by intramuscular injection of 20 mg/kg of ketamine and 2 mg/kg of xylazine, followed by induction with 24 mg/kg of pentobarbital sodium. Anesthesia was maintained by intravenous administration of a mixture of ketamine (67 mg/ml) and diazepam (1.7 mg/ml) alternating with pentobarbital sodium (65 mg/ml). Anesthetic agents for maintenance were given in sufficient dose to prevent spontaneous ventilatory effort and to maintain a surgical plane of anesthesia. A tracheotomy was performed, and internal jugular access was obtained to permit passage of a Swan-Ganz catheter. Femoral arterial and venous catheters were inserted. The prone pigs were ventilated with room air on a piston-pump ventilator at a tidal volume of 12-17 ml/kg and a 50% inspiratory time cycle. The ventilator rate was set to maintain an initial arterial PCO2 (PaCO2) between 35 and 40 Torr and was held at that rate for the remainder of the study. Before each aerosol administration period, the lungs were transiently inflated to a pressure of 30 Torr, and baseline measurements of temperature, mean arterial pressure, mean pulmonary arterial pressure, and peak airway pressure were taken. Cardiac output was measured in triplicate by thermal dilution, and the average of the three values was calculated. Arterial blood gases were drawn, and measurements were corrected to the appropriate body temperature. The alveolar-arterial O2 difference (A-aDO2) was calculated based on an R value of 1.0.

Generation of the FMS aerosol. Sterile, fluorescent, 1.0-µm- diameter, carboxylated latex microspheres (FluoSpheres, Molecular Probes, Eugene, OR) were used as the ventilation markers for all studies. Four different fluorescent labels (blue green, yellow green, orange, and red) were administered as 3% solids in distilled water with 0.01% thimerosal and 0.02% Tween 80 (Sigma Chemical) added. For each aerosol administration, a 5.0-ml solution containing one shorter wavelength FMS label (blue green or yellow green) and one longer wavelength FMS label (orange or red) was vortexed and sonicated to ensure adequate mixing. The relative proportion of each fluorescence label used in the solution was based on the relative fluorescence per microsphere for each of the FMS. Microspheres were aerosolized with a constant-output atomizer (TSI model 3076, Thermo Systems, St. Paul, MN) that maintained a stable aerosol concentration. A filtered compressed air supply (TSI 3074) was used to atomize the suspension through a high-velocity nozzle. The liquid droplets then passed through a silica gel diffusion drier (TSI 3062) and a krypton-85 source-charge neutralizer (TSI 3012) to minimize deposition of charged aerosol on walls of the delivery system. A 1-liter anesthesia reservoir bag at the end of the generation system accommodated tidal inspirations drawn by the piston pump ventilator. Aerosol concentration and particle size were monitored continuously by a laser particle counter (LPC, TSI model 7400) that withdraws a small aerosol volume just proximal to the ventilator. The critical orifice to the particle-sensing instrument was modified to withdraw a reduced air flow of 0.20 l/min. An aerosol dilution system, upstream of the LPC, was used to dilute the aerosol concentration by a factor of 18 to minimize coincidence-counting losses in the instrument to <10%. The aerosol was administered directly to the inspiratory port of a piston pump ventilator (New England Medical Instruments, Medway, MA) for the first two pigs, but an adequate fluorescence signal was not attained for all fluorescence labels with this arrangement. For the final three pigs, loss of FMS within the ventilator system was minimized by administering the aerosol through a simple bag-in-box system (Fig. 1) that incorporated a minimum of conductive tubing and a 0.5-liter anesthesia bag. Inflation and deflation of the anesthesia bag within the box were driven by volume changes of the piston pump attached to the box. The aerosol generation system was flushed with ethanol and air dried between experiments to prevent bacterial contamination.
Fig. 1. Diagram of aerosol administration system. A, filtered air supply; B, constant-output atomizer; C, aerosol mixture; D, silica gel diffusion drier; E, charge neutralizer; F, reservoir bag; G, laser particle sensor and dilution system; H, piston pump ventilator; I, bag-in-box ventilation system.
[View Larger Version of this Image (11K GIF file)]

For each experimental measurement, an aerosol consisting of a mixture of two FMS fluorescent labels was administered via a positive-pressure ventilator system for a period of 10 min. Radioactive microspheres (RMS) of 15-µm diameter were simultaneously injected intravenously in multiple, small, evenly spaced increments during the same 10-min period. The RMS were vortexed, sonicated, and diluted with saline to a volume of 10 ml. During the measurement period, the RMS were kept in suspension in the saline injectate by mixing between two syringes attached to the venous stopcock. A minimum of 2.3 × 106 microspheres of each RMS label were administered. Thirty minutes later, after the aerosol generation system had been flushed clean of the first two FMS labels and baseline physiological measurements were repeated, a different pair of FMS labels was inhaled for 10 min with simultaneous injection of a different RMS. Immediately after the second run, the pigs were intravenously injected with 10,000 U of heparin and exsanguinated under deep pentobarbital anesthesia. The animals were turned to a supine position, a thoracotomy was performed, and the pulmonary artery and left atria were cannulated. The lung vasculature was flushed with a solution of 2% dextran at a perfusion pressure of 10 cmH2O, and the lungs were removed from the thorax and cut free from cardiac structures. No edema fluid was observed in the airways of the excised lungs. The lungs were inflated to a pressure of 18 Torr with dry heated air, each lobe was glued to adjacent lobes to maintain the appropriate anatomic configuration during drying, and the lungs were punctured 20-30 times with an 18-gauge needle to facilitate rapid, even drying. The lungs were air-dried inflated at a pressure of 18 Torr for 3 days.

Lung preparation and sample measurement. After the 3-day drying period, the lungs were coated with 5 - 10 mm of polyurethane foam (Kwik Foam, DAP, Dayton OH) and dried for an additional day. They were then suspended in a box with the dorsal surface parallel to the box walls and encased in a block of rapidly setting isocyanate foam (Polyfoam A & B, Tacoma Fiberglass Products, Tacoma, WA), as previously described, to provide a fixed coordinate system for cutting (11). The lungs were cut along orthogonal coordinates in 1.9-cm3 cubes, any attached foam was removed, and the pieces were weighed. Pieces weighing <8.0 mg were discarded (mean piece weight = 41.3 + 24.6 mg). Assigned spatial coordinates and lobe location of each piece were recorded. Conducting airway within each piece was graded on a scale of 0 to 5 (0 = no visible airways; 5 = conducting airway >75% of total piece volume). Each lung piece was placed in a well counter (Packard Autogamma 5000 series, Downers Grove, IL) to measure the activity of the radioactive labels. Each piece was then soaked in 1.5 ml of 2-ethoxyethyl acetate (Cellosolve, Aldrich Chemical, Milwaukee, WI) for 48 h to dissolve the FMS and extract the fluorescent marker. The extract was transferred to a cuvette, and the fluorescence peak of each of the FMS was measured on a fluorescence spectrophotometer (Perkin-Elmer luminescence spectrometer LS 50B, Norwalk, CT), as previously described (8, 10).

Sections for evaluation with fluorescence microscopy were obtained from each animal, selecting three to five pieces of dried lung tissue that had airway scores of 3 or 4 from caudal lobe (these sections were not soaked in Cellosolve and were not included in the statistical analysis). Sections of 50-, 75-, or 100-µm thickness were cut with a Vibrotome (Technical Products International, St. Louis, MO) and mounted dry on slides under coverslips.

Data reduction and statistical analysis. Pieces containing only trachea were excluded, leaving 580-794 pieces from each pig. Measurements of radioactivity at each energy window for each piece were corrected for decay time and spillover, as described previously (11). Overlap corrections were not required for the four fluorescent labels used in these studies (10), but a small fluorescence blank signal was subtracted from each FMS reading, based on the fluorescence signal obtained for that wavelength from a cuvette filled with solvent alone. Each FMS aerosol data set with paired, simultaneously administered fluorescent labels was examined by plotting the difference between the two regional ventilation estimates and their mean value. Pieces containing FMS pairs with discrepancies greater than three SDs from zero were identified and excluded from analysis; between 7 and 13 pieces were thereby excluded from each of the 10 runs performed on the five pigs. The discordant signals invariably had one very high fluorescence signal compared with the three other ventilation and two blood flow measurements made on that piece. Whenever large discrepancies were identified in paired FMS measurements, repeat measurements of all four fluorescence emission windows yielded similar values. No obvious pattern explained the large discordance between fluorescence signals in those few pieces with respect to location, piece size, piece blood flow, or the proportion of airway in the piece.

Preliminary studies of unlabeled lung pieces that were prepared by the same extraction, drying, and cutting procedures described above and then suspended in solvent revealed a variable, low-level fluorescence signal present primarily in the blue-green and yellow-green emission spectra. For the animals reported in this study, if the mean FMS fluorescence signal per piece for those labels was less than four times the fluorescence signal of unlabeled lung, those data were not used for the comparison of two simultaneous measurements of minute ventilation. This criterion resulted in exclusion from analysis of either blue green or yellow green from four of the 10 runs performed to estimate the error of the aerosol method. Three of the four runs that were excluded from the paired-data analysis were performed on the unmodified ventilator system. All 10 runs with paired-FMS administration had at least one fluorescence signal that met the criterion for adequate signal intensity. For consistency, all data analysis of spatial determinants of ventilation used only the red and orange signals, because these signals were adequate for all of the experiments. Mean values for radioactivity and fluorescence for each of the RMS and FMS markers and for mean piece weight were calculated for each animal. Fluorescence and radionuclide signals from each lung piece were normalized by mean signal (flow normalized) and then by mean weight (flow and weight normalized). The latter normalization procedure described both ventilation and perfusion in terms of flows per unit alveolar tissue mass, with dry, blood-free, piece weight chosen as the best available estimate of alveolar mass.

The agreement between paired FMS aerosols was described by a Pearson correlation coefficient. The comparison between mean ventilation and perfusion estimates over time and comparison of ventilation and perfusion at different times were described by weighted correlation coefficients (5), using the lung piece weight as the weighting factor. The spatial coordinates for the pieces from each lung were adjusted so that the dorsal-caudal tip of the caudal lobe was set to zero, and the dorsal surface of the caudal lobe was given a negative 15° slope to best approximate the normal orientation of the lung in a prone pig (19). Gravitational gradients were then calculated incorporating the distance from the zero set point of that adjusted vertical axis of the lung, using the flow- and weight-normalized values measured for the labels in each lung piece. Radial gradients were estimated as the distance from the center of mass for each lobe, again using the flow- and weight-normalized values for each label. The gravitational and radial gradients were calculated by using weighted linear regression (7), where the weight of the lung piece was the weighting factor. Weighted correlation and regression assigned each weight- and flow-normalized lung piece an appropriate influence in the overall determination of model parameters. To analyze spatial trends in ventilation and flow distribution within the lungs, both gravitational and radial gradients were calculated for each animal, with 95% confidence intervals for these slopes estimated for all animals by using a one-sample t-test at each time. The indexes of dispersion of ventilation and perfusion on the log VA/Q scale (described as log SD of alveolar ventilation or log SD of perfusion) were obtained by first calculating a perfusion- and a ventilation-weighted mean log VA/Q and then using those mean values respectively for the calculation of the ventilation-weighted SD or the perfusion-weighted SD. Unlike this calculation when utilized in the MIGET, where blood flow and ventilation calculations produce 50 evenly spaced VA/Q compartments (23), our data sets were individual measurements of ventilation and perfusion for each cut piece. It was therefore necessary to incorporate a weighting factor so that the relative contribution of each piece to the ventilation or perfusion dispersion would be appropriately represented.


RESULTS

Characterization of the aerosol. Our generation system produced an aerosol concentration of ~1.3 × 107 particles per liter of air throughout each 10-min period of aerosol administration. The temporal coefficient of variation of aerosol concentration, measured in 6-s time increments at the generator system outlet, varied from 3 to 7%. Transmission electron micrographs of the FMS aerosol (Fig. 2) impacted onto grid substrates positioned at the delivery port of the system showed 92% of the particles were singlets, 6% were doublets, and the remainder were triplets. The microspheres were uniform in diameter, with a coefficient of variation of diameter that was <12%, as estimated from those micrographs. The aerosol concentration delivered to the tracheal orifice was ~5.0 × 106 particles/l. The fractional deposition of aerosol particles in the lungs at the tidal volume and rate used (measured by interposing a filter for 1-min collections from the inspiratory or expiratory sides of the ventilator tubing immediately adjacent to the tracheostomy tube) ranged between 25 and 30% for all animals. The mean number of FMS of any given fluorescence deposited per lung piece over the 10-min inhalation period (based on total fluorescence measured in the lung pieces) ranged between 1.2 and 7.8 × 104 particles, depending on the concentration of FMS administered at the tracheal orifice.
Fig. 2. Transmission electron micrograph of fluorescent microsphere (FMS) aerosol suspension captured on filter placed at generator system outlet. Mean FMS diameter measured 1.1 µm.
[View Larger Version of this Image (95K GIF file)]

Correlation between simultaneously administered fluorescence labels. Each administered aerosol marker contained a mixture of two different fluorescent labels. Thus relative discrepancies between fluorescence signals in any lung piece served to estimate experimental error of aerosol administration. As noted previously, each animal had between 7 and 13 pieces where the fluorescence signal for one of the labels was very high, producing a between-FMS label difference of greater than three SDs from the mean difference between paired labels. Attempts were made to characterize further those few pieces excluded from analysis for this discrepancy. No consistent characteristics could be identified with respect to piece location, piece size, presence of pleural surface, or conducting airway. With one exception, all pieces identified for exclusion based on one paired discrepancy had a normal concurrence of labels for the other aerosol pair. In addition to those rare large discrepancies, another potential source of error was identified. Previous fluorescence measurements of unlabeled lung pieces revealed that a small, nonspecific fluorescence signal was produced secondary to light scattering from fragments of lung in the sample. Because the extent of this artifact from any given piece was not predictable, only those runs where both FMS markers had high mean fluorescence signals were accepted for this error analysis. In the six aerosol runs with adequate fluorescence signals from both inhaled markers, the correlation between the two labels ranged between 0.98 and 0.99 (intercept range from-0.06 to 0.09 and slope range from 0.91 to 1.07). The best correlations (Fig. 3) were obtained from the higher deposition of fluorescence reached in the final three animals after modification of the ventilator system to contain the aerosol within a circuit containing only conductive tubing and an anesthesia bag (Fig. 1). These comparisons demonstrate that with acceptably high fluorescence signals, nonspecific fluorescence does not appreciably influence the measurements.
Fig. 3. Correlation between values obtained for 2 simultaneously administered FMS labels (YG, yellow green; OR, orange) in completely cut lung (animal 5, run 1, n = 781, 13 pieces excluded).
[View Larger Version of this Image (20K GIF file)]

Estimates of aerosol deposition on conducting airways. A potential source of error in the FMS estimates of regional ventilation may arise from significant deposition of FMS on conducting airways. Evidence for this artifact was sought by two approaches. First, thick sections were cut from three to five representative dried lung pieces from each animal and examined with a fluorescence microscope. The initial sections cut at arbitrary intervals revealed little deposition of FMS on conducting airways and showed extensive heterogeneous deposition of FMS in the alveolar spaces (Fig. 4). However, when serial transverse sections of several airways were cut, FMS deposition was found at airway bifurcations. The heterogeneity of deposition in the airways made it difficult to quantitatively estimate the number of particles in conducting airways relative to the density of deposition in alveolar spaces.
Fig. 4. Photomicrograph of a 75-µm-thick section of lung with deposited FMSs. Microspheres that appear larger are outside the plane of focus. Note absence of deposition of FMS on the 1.6-mm-diameter conducting airway in right lower quadrant of field.
[View Larger Version of this Image (74K GIF file)]

The second approach compared the fluorescence signals as a function of the estimated airway content of each lung piece. A plot of per-piece ventilation and blood flow measurements vs. airway content score (Fig. 5, A and B) shows a decrease in both measurements as the proportion of conducting airway in the sample increased. The pieces with airway scores of 0 were generally peripheral incomplete cubes (mean weight 22-28 mg) that contained pleural surface. Thus, because of the pleural weight, the weight normalization procedure that we employed most likely underestimated the true flow per alveolus value that the weight normalization was meant to represent. Similarly, the normalization process probably underestimates the true flow per alveolus value for the pieces with airway scores of 4 and 5 because of the weight of the conducting airways. Nevertheless, the mean fluorescence signal in pieces including primarily conducting airway (scores 4 and 5, mean weight 116-150 mg) was 39 ± 7% of those pieces containing no appreciable conducting airway content (scores 0 and 1, mean weight 32-40 mg), which at least demonstrates no gross effect of airway content on fluorescence deposition. In addition, pieces with airway scores of 4 and 5 constituted <2% of the total sample and were not concentrated at the extremes of radial or gravitational distances. Thus even a moderate excess deposition of FMS in the large airways would minimally influence the overall data analysis. Similar trends for relationship between airway score and blood flow were also noted (Fig. 5), again suggesting that the trends in ventilation distribution were not distorted by disproportionate fluorescence deposition in airways. Although this analysis excludes gross deposition of FMS on conducting airways, it is not sensitive enough to detect a small excess of FMS deposition in those lung pieces containing a large fraction of conducting airways.
Fig. 5. A: FMS deposition (described as ventilation per unit weight) as a function of estimated conducting airway content of lung pieces (animal 5, run 1). B: blood flow distribution (described as blood flow per unit weight) as a function of estimated conducting airway content of lung pieces.
[View Larger Version of this Image (13K GIF file)]

Physiological effects of aerosol administration. During each aerosol administration period, arterial blood gases, pulmonary arterial pressure, systemic arterial pressure, peak airway pressure, and cardiac output were monitored. Comparison of baseline measurements with those taken after the first aerosol administration (Table 1) shows no consistent trends in the measured parameters. Exercising the precautions described in METHODS to generate a sterile, pyrogen-free aerosol, no changes were observed in these parameters for four of the five pigs. During preliminary experiments, pulmonary hypertension and hypoxemia were noted after administration of an aerosol that was subsequently found to have bacterial contamination. The one animal with abnormal gas exchange (pig 4) showed a marked redistribution of pulmonary blood flow during the second experiment, with relatively little change in ventilation distribution. No evidence of aerosol contamination was found for this animal.

Table 1. Physiological measurements made before each aerosol administration


Animal No. Time MAP PAP  Q  VE Paw A-aDO2

1 t1 95 19 3.1 3.0 19 15
1 t2 98 18 2.3 3.0 18 17
2 t1 80 29 2.0 3.1 29 20
2 t2 100 32 2.0 3.1 32 22
3 t1 115 16 3.0 3.4 16 11
3 t2 115 22 2.4 3.4 22 8
4 t1 80 27 2.6 3.8 27 34
4 t2 90 32 2.4 3.8 35 46
5 t1 125 29 2.9 3.3 29 7
5 t2 125 32 2.4 3.3 32 9
Mean ± SD 102 ± 17  26 ± 7  2.5 ± 0.4  3.3 ± 0.3  26 ± 7  19 ± 13

MAP, mean arterial pressure (mmHg); PAP, mean pulmonary arterial pressure (mmHg); Q, cardiac output (l/min); VE, minute ventilation (l/min); Paw, peak airway pressure (cmH2O); A-aDO2 , alveolar-arterial O2 difference (mmHg); t1, t2, first and second aerosol administration periods.

Heterogeneity of aerosol deposition. The coefficient of variation of fluorescence deposition of the flow- and weight-normalized lung pieces was selected as the most representative calculation of the variability of flow per mass unit of alveolar parenchyma. This representation of ventilation heterogeneity ranged from 41 to 66% for the 10 runs performed, with the majority of the variability due to differences among animals (Table 2). Temporal changes in the overall coefficient of variation of ventilation from measurements separated by 30 min were small within animals (Table 2). However, a large shift in regional ventilation among pieces might take place over time with the same coefficient of variation. The correlation between ventilation measurements at the two time periods for individual pieces was high, ranging from 0.74 to 0.98 (Table 3, Fig. 6). Except for pig 4, comparable temporal correlations for blood flow were present (Table 3).

Table 2. Coefficient of variation for VA or Q for each animal at times 1 and 2 


Animal No.  VA, t1  VA, t2  Q, t1  Q, t2

1 40.6 40.0 52.7 46.2
2 51.3 45.6 35.8 43.3
3 43.7 42.0 49.9 44.2
4 66.1 56.4 48.5 57.8
5 47.2 46.4 40.8 43.2
Mean ± SD 49.8 ± 9.9  46.1 ± 6.3  45.5 ± 7.0  46.9 ± 6.2

Values are in percent. VA, alveolar ventilation; Q, blood flow.

Table 3. Weighted correlations of two measurements of VA and 2 measurements of Q separated by a 30-min interval


Animal No.  VA  Q

1 0.85 0.93
2 0.74 0.82
3 0.88 0.81
4 0.81 0.18
5 0.98 0.95
Mean ± SD 0.85 ± 0.09  0.74 ± 0.32


Fig. 6. Temporal shifts in regional ventilation over a 30-min interval (animal 5).
[View Larger Version of this Image (23K GIF file)]

Topography of aerosol deposition. The caudal lobes showed a trend toward higher weight-normalized ventilation, but this did not attain statistical significance. Gravitational gradients for ventilation in lungs of prone pigs similarly failed to show a statistically significant effect between all animals and times. Table 4 presents the slopes of weighted least squares fits of regional ventilation to distance from the highest point on the surface of the prone lung for the five animals at the two times; a positive slope represents greater ventilation in the more dependent regions of the lung. The 95% confidence intervals for the slopes at both measurement times include positive and negative values, failing to reject the null hypothesis that the gravitational ventilation gradient was zero. Table 5 presents fits of the data to radial distance from the center of the lobes, where a negative coefficient indicates lower flows distant from the center of the lobes. Although the magnitude of the mean slope for a radial gradient was as small as that obtained for the gravitational gradient, the effect was more consistent, with 95% confidence limits not including zero, and P values of <0.005 for both runs. The magnitude of both gradients was small compared with the overall degree of ventilation heterogeneity observed in these lungs. The r2 for the single predictor model of the relationship between regional ventilation and radial distance from the center of the lobe averaged 0.039; <4% of the variability of regional ventilation in prone animals could be attributed to a radial-distribution effect.

Table 4. Slope of single predictor model describing ventilation as function of distance down dorsal-ventral axis of lung


Animal No. Time 1  Time 2 

1  -0.022  -0.004
2 0.151 0.064
3 0.009  -0.010
4 0.106  -0.015
5 0.014 0.027
Mean ± SD 0.052 ± 0.074  0.012 ± 0.033 
95% CI  -0.040, 0.143   -0.029, 0.054 
P value 0.192 0.450

CI, confidence interval.

Table 5. Slope of single predictor model describing ventilation as a function of radial distance from center of lobe


Animal Time 1  Time 2 

1  -0.057  -0.077
2  -0.053  -0.083
3  -0.068  -0.044
4  -0.058  -0.045
5  -0.064  -0.055
Mean ± SD  -0.060 ± 0.006   -0.060 ± 0.018 
95% CI  -0.067, -0.053  -0.083, -0.038
P value 0.00002 0.0017

Interactions between measurements of ventilation and perfusion. Although individual factors of gravitational gradient, radial gradient, airway score, and lobe had little or no value in predicting regional ventilation distribution, the magnitude of pulmonary blood flow was strongly associated with regional ventilation. Constructing a multiple-predictor model for regional ventilation as a function of blood flow, radial distance, and distance from the dorsal surface of the lung, only blood flow showed an overall significant effect. That is, when blood flow was included in the model, a t-test of radial gradient and gravitational gradient effects showed that they were not significantly different from zero. With the use of this multiple-predictor model, the overall r2 value for ventilation ranged between 0.40 and 0.79 for the 10 runs.

The coefficients of variation for ventilation and perfusion were similar in magnitude for each animal, although there was appreciable variation among animals (Table 2). Correlation coefficients between ventilation and perfusion for the prone pigs ranged from 0.53 to 0.89 (Table 6). The lower correlations noted for pig 1 were associated with a large number of high VA/Q units; the blood-gas measurements and pulmonary vascular pressures did not differ from the other animals. Pig 4 was the one animal with an abnormal A-aDO2 during both measurements. Figure 7 utilizes a simple scatterplot to illustrate the correlation of ventilation and pulmonary blood flow for pig 5, run 1. Figure 8, A and B, presents the same data showing the individual piece ventilation and blood flow as a function of the piece VA/Q ratio, a format similar to that used for presentation of results obtained by the MIGET (23). In this format, it is apparent that the pieces with high values of either ventilation or blood flow are centered over the mean VA/Q ratio and that relatively little ventilation or blood flow is directed to those pieces away from that mean. The relative breadth of the ventilation and perfusion peaks on the log VA/Q scale is one index of VA/Q heterogeneity that has been used as a simple description of gas-exchange estimates of heterogeneity obtained by MIGET. Table 6 gives calculations for all runs of the log SD of ventilation and log SD of perfusion, the two indexes of gas-exchange heterogeneity used to describe the peak breadths. Note that pig 1 has a large SD of VA, as would be expected with the presence of high VA/Q units, and that pig 4, with the widest A-aDO2 has the largest SD of Q. With the exception of those measurements, the values obtained for SD of VA and SD of Q are slightly below the range obtained by MIGET measurements from normal upright human lungs (24). The sensitivity of the combined aerosol deposition and intravascular microsphere-injection method for estimating regional ventilation appears adequate to describe the range of VA/Q heterogeneity observed in normal lungs by MIGET.

Table 6. Log SD of VA, log SD of blood Q, and weighted correlation between VA and Q at 2 different measurement periods


Animal No. Time 1 
Time 2 
log SD VA log SD Q r log SD VA log SD Q r

1 0.78 0.17 0.60 1.22 0.13 0.68
2 0.11 0.08 0.84 0.11 0.09 0.76
3 0.57 0.10 0.81 0.28 0.06 0.87
4 0.16 0.25 0.88 0.22 0.49 0.53
5 0.16 0.07 0.89 0.19 0.08 0.87
Mean ± SD 0.36 ± 0.30  0.13 ± 0.08  0.80 ± 0.12  0.40 ± 0.46  0.17 ± 0.18  0.74 ± 0.14


Fig. 7. Correlation between blood flow (ml · min-1 · unit tissue wt-1) calculated by multiplying cardiac output by fractional normalized flow) and ventilation (ml · min-1 · unit tissue wt-1) calculated by multiplying total ventilation minus anatomic dead-space ventilation by fractional normalized ventilation (animal 5, run 1).
[View Larger Version of this Image (24K GIF file)]


Fig. 8. A: plot of ventilation data (x) from Fig. 7 vs. log10 VA/Q. B: plot of blood flow data (square ) from Fig. 7 vs. log10 VA/Q.
[View Larger Version of this Image (27K GIF file)]


DISCUSSION

The application of FMS aerosol deposition as a marker for high-resolution maps of ventilation distribution offers a number of significant advantages. First, the FMS in the aerosol are monodisperse, of known size, and have no detectable concentrations of large coagulated or clumped particles. A few large particles within an aerosol could substantially misrepresent heterogeneity of ventilation when small lung pieces are analyzed. For example, a single 15-µm particle among 1-µm particles would produce a signal >3,000 times larger than anticipated. Furthermore, a large particle would more likely deposit on a conducting airway, frustrating the intent to produce a map of regional ventilation. Hence the infrequent generation of larger particles that occurs with clinical aerosol-generation devices can produce an artifact unacceptable for the goals of the studies described here. We have attempted to systematically assess the risk of generating of large particle aggregates within our aerosol. The microspheres were microscopically examined before administration to assure uniform diameters, and on-line measurements of aerosol diameter and concentration were taken during administration of the FMS labels to the animals. To ascertain that large FMS aggregates were not contained in the aerosol administered to the animals, we examined electron-microscopic images of aerosol collected onto substrates. Finally, we have surveyed thick microscopic sections of dried lung samples from the experimental animals to detect any appreciable deposition of aerosol on conducting airways and found none except at airway bifurcations. Deposition of 1.0-µm FMS at airway bifurcations was also found by Pinkerton et al. (17) in their studies of aerosol deposition in rat lung. On the basis of our estimates of the relative proportion of conducting airway in lung parenchymal pieces, those pieces with airway scores of 4 and 5 had ~50 and 25% of their total volume as alveolar parenchyma and had ~40% of the fluorescence intensity of pieces without large conducting airways. Therefore, it appears unlikely that the extent of fluorescence deposition on the conducting airways would significantly influence our conclusion that, at the scale of resolution attained in this study, fluorescence intensity is related to alveolar ventilation.

The intensity of fluorescence deposited per piece is important to this technique. The background fluorescence from solvent in cuvettes containing no lung tissue ranged from 0.1 to 3.4% of the mean signal obtained from the pieces with FMS labels, a minor and easily corrected effect. However, the fluorescence signal obtained from unlabeled lung tissue can potentially cause significant artifact if the overall FMS signal is low. The additional background fluorescence originating from lung tissue samples is greatest on the blue side of the emission spectrum and decreases progressively with the longer wavelengths. The artifact arises when suspended particulate matter from the lung sample is present in the fluorescence cuvette, causing a fluorescence signal of variable intensity by scattering of the excitation signal from the fluorimeter. This particulate effect was detected by comparing readings of cleanly cut, unlabeled lung pieces with pieces that were deliberately crushed. The mean signal from cuvettes with very high particulate concentration was eight times greater than the mean signal from cleanly cut pieces in solvent, which was comparable to the signal from solvent alone. Although the high readings from crushed pieces decreased as the suspension was allowed to settle over several minutes, they failed to come within the range of the cleanly cut pieces. This signal artifact cannot necessarily be detected by comparing simultaneously administered fluorescencent labels, because the particulate effect proportionately increases the signal at all wavelengths in unlabeled pieces.

We resolved this artifact in those FMS emitting at shorter wavelengths by increasing the concentration of FMS and by modifications of the aerosol-delivery system. The final three animals had blue-green and yellow-green FMS signals 10-25 times greater than the magnitude of mean unlabeled tissue fluorescence. This artifact for orange and red FMS labels was much smaller; we found mean red and orange signals 10 times greater than unlabeled tissue in the first three pigs, and >20 times greater than unlabeled tissue in the last two animals. We conclude that appropriate care in cutting and handling of dried lung pieces, the administration of high aerosol FMS loads, and the use of longer wavelength labels can minimize the scattering artifact to 5% or less of the mean fluorescence signal.

We have no explanation for those few high-signal pieces that we excluded from this analysis. Although the fluorescence measurement for those high-signal pieces was reproducible, the lower (presumably normal) signal of the pair always matched the other pair of ventilation measurements. Part of the explanation may be related to the particulate scattering effect described above, which is much more marked with shorter wavelength colors. Another contributing possibility would be the presence of a rare large particle within the aerosol. As noted above, a single large particle has the potential to distort an estimate of regional ventilation when a mean deposition of 2,000-10,000 1.0-µm FMS is present in each lung piece. Whereas larger spheres would most likely deposit in the apparatus or upper airways, some could reach peripheral lung regions. Direct microscopic examination of many fields of our FMS mixture before aerosolization did reveal rare 15- to 30-µm spheres, but passing this mixture through a 2-µm filter before administration to the final two animals did not eliminate the rare aberrant signals. In any event, the simultaneous administration of two FMS labels permits detection of this artifact.

The density of FMS deposition in lung parenchyma was influenced by 1) aerosol density delivered by the apparatus; 2) loss of aerosol in the ventilator system before delivery to the animal; 3) duration of administration; and 4) the selected ventilatory parameters. In preliminary experiments, we noted that a 1-s inspiratory hold increased total deposition to 50%, but inspiratory hold was not used in the experiments presented here. Valberg et al. (21) have observed that a high respiratory rate (65-90 breaths/min) will alter distribution of the aerosol administered to an isolated lung, with proportional increases in deposition in the conducting airways compared with parenchyma. Thus the relatively large tidal volumes we chose for our animals permitted slower respiratory rates and allowed more time for gravitationally mediated deposition of the FMS in lung parenchyma. Aerosol density at the generator and administration time remained constant throughout all studies. For the last three animals reported here, the substitution of conductive tubing for rubber tubing in the delivery system and change in the ventilator configuration doubled the concentration of aerosol delivered. The final configuration of the generator-ventilator system with the selected ventilatory parameters and labeling times produced a mean fluorescence signal 10-25 times greater than the fluorescence signal from unlabeled lung. Because the protocol for these experiments involved administering two aerosol colors, the concentration of each individual color was reduced. If the yellow-green and blue-green labels had been administered undiluted by other colors, they would have provided satisfactory signal levels even with the original ventilator system.

The weighted regression used to investigate spatial ventilation and blood flow gradients is a refinement of our previous approach to the description of blood flow heterogeneity (11). Our present approach is based on the rationale that the most appropriate representation of ventilation and perfusion heterogeneity reflects the contribution of each piece to the total measured ventilation or blood flow. The simple analytic approach employed earlier assigned equal statistical weight to each piece. Because of our rectilinear cutting protocol, the volume of most pieces containing lung surface is smaller than the central pieces, but the choice to normalize both ventilation and perfusion by piece weight assigned those surface pieces greater statistical weight than was merited. The present analytic refinement decreases the significance of both gravitational and radial gradients, but these effects in the prone position are already so small that they are not useful to predict ventilation or blood flow distribution.

Although these results are promising, additional validation remains to be performed. The concept of alveolar ventilation arose from gas-exchange models and is difficult to apply to studies of regional function, as regional alveolar ventilation does not have an accepted "gold standard" technique, such as injected microspheres for regional perfusion. The most important limitation of aerosol deposition as an estimate of regional ventilation is related to the scale of the measurement taken. At the scale used in this study (1.9-cm3 per piece), ventilation to that volume is dependent primarily on convective gas movement, and thus 1.0-µm aerosol deposition should appropriately represent regional ventilation. However at a microscopic scale, the model studies of both Tsuda et al. (20) and Darquenne and Paiva (5, 6) have demonstrated that the deposition of 1.0-µm aerosol is dependent on gravitational settling and inertial impaction, two mechanisms that are irrelevant to alveolar ventilation. At the microscopic level of scale, 1.0-µm aerosol deposition measurements cannot be interpreted as representing alveolar ventilation. Examination of the histological samples (Fig. 4) confirms that the FMS deposition at the alveolar level is highly irregular, with suggestion of deposition around alveolar ducts and deposition in a gravitational direction. Systematic histological studies of deposition patterns will be required to quantitatively assess the fractional distribution of FMS on conducting airways and other deposition patterns. The FMS-derived regional ventilation distributions should also be compared with in vivo radionuclide-imaging techniques to ascertain agreement at least at a segmental and subsegmental level of resolution. Finally, studies need to be performed to compare regional ventilation distribution patterns observed with the large tidal volumes used here with more physiological breathing patterns.

The findings presented here indicate a high degree of ventilation heterogeneity at the scale of measurement attained, comparable in extent to the measured perfusion heterogeneity and to the extent of perfusion heterogeneity described in previous studies of pulmonary blood flow taken at this level of resolution (2, 4, 11, 16). Because ventilation and perfusion were measured simultaneously in this study, the high degree of correlation predicted for ventilation with regional blood flow was directly demonstrated. In pigs, it appears that at the measurement resolution attained in these studies, ventilation heterogeneity is comparable to perfusion heterogeneity. This may not be true for dogs or other animals that have a high degree of collateral ventilation within the lung. The finding of physiologically insignificant radial and gravitational gradients of both ventilation and perfusion in prone pigs parallels previous measurements of regional blood flow in dog lungs made at this same scale (11) in which regional effects of radial gradients explained <11% and gravitational gradients explained <3% of the total spatial heterogeneity of blood flow. The most striking observation of this study is that regional perfusion is the strongest statistical predictor of regional ventilation. Whereas the normal gas exchange manifested by these animals mandates a high correlation between the two variables, our findings emphasize the close spatial matching of ventilation to perfusion, regardless of whether this match arises out of anatomic relations between airway and vascular structure and/or the tightly coordinated regulation of vascular and bronchiolar tone.


ACKNOWLEDGEMENTS

The authors acknowledge the excellent assistance of D. An, Dr. S. Bernard, and P. Campbell in completion of these studies and thank Molecular Probes for donation of the fluorescent microspheres.


FOOTNOTES

   This work was supported by National Heart, Lung, and Blood Institute Grant HL-24163.

Address for reprint requests: H. T. Robertson, Div. of Pulmonary and Critical Care Medicine, Box 356522, Univ. of Washington, Seattle, WA 98195-6522 (E-mail: tomrobt{at}u.washington.edu).

Received 30 April 1996; accepted in final form 28 October 1996.


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