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J Appl Physiol 93: 51-57, 2002. First published March 1, 2002; doi:10.1152/japplphysiol.01238.2001
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Vol. 93, Issue 1, 51-57, July 2002

Detection of porcine oleic acid-induced acute lung injury using pulmonary acoustics

Jukka Räsänen1 and Noam Gavriely2

1 Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota 55905; and 2 Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 32000, Israel


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

To evaluate the utility of monitoring the sound-filtering characteristics of the respiratory system in the assessment of acute lung injury (ALI), we injected a multifrequency broadband sound signal into the airway of five anesthetized, intubated pigs, while recording transmitted sound over the trachea and on the chest wall. Oleic acid injections effected a severe lung injury predominantly in the dependent lung regions, increasing venous admixture from 6 ± 1 to 54 ± 8% (P < 0.05) and reducing dynamic respiratory system compliance from 19 ± 0 to 12 ± 2 ml/cmH2O (P < 0.05). A two- to fivefold increase in sound transfer function amplitude was seen in the dependent (P < 0.05) and lateral (P < 0.05) lung regions; no change occurred in the nondependent areas. High within-subject correlations were found between the changes in dependent lung sound transmission and venous admixture (r = 0.82 ± 0.07; range 0.74-0.90) and dynamic compliance (r = -0.87 ± 0.05; -0.80 to -0.93). Our results indicate that the acoustic changes associated with oleic acid-induced lung injury allow monitoring of its severity and distribution.

respiratory sounds; transmitted sounds


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

AUSCULTATION OF BREATH SOUNDS has been used in medicine for almost two centuries (8). The stethoscope remains a useful tool in evaluating patients with acute and chronic lung disease, and it is the only technique that will give combined functional and localizing information about lung pathology at the bedside. Modern tools for monitoring gas exchange, lung compliance, and airway resistance in a real-time, continuous fashion are available, but they provide information about the respiratory system as a whole, not which region of the lung or which lung is most affected. Whereas the lung parenchyma can be imaged by using radiographs, computerized tomography, or magnetic resonance, these techniques cannot be used for continuous or frequent assessment, and they often require moving the patient to a specific location. Ultrasound, a common bedside imaging tool for a variety of organ systems, does not penetrate the gas-containing lung parenchyma and hence is of limited use in pulmonary disease.

Studies performed in healthy humans and in patients with chronic lung disease indicate that sound energy introduced into the airway can be detected on the surface of the chest and that the transfer of such energy can be quantified in terms of amplitude and wave speed (5, 6, 15). An experimental study by Donnerberg et al. (3) showed that the amplitude of sound transmission through the respiratory system is greater in congested lungs than in normal lungs and that this change is proportional to the lung wet-to-dry weight ratio.

In an attempt to further characterize the acoustic properties of the respiratory system during the development of acute lung injury, we designed this study to determine whether oleic acid-induced permeability-type pulmonary injury would enhance sound transfer through the respiratory system in proportion to the severity of injury and whether or not the gravity-dependent distribution of lung pathology thus could be detected with this method.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Experimental setup. After approval by the Institutional Animal Care and Use Committee, six healthy pigs, weighing 35-45 kg and cared for according to the current guidelines for the care and use of laboratory animals, were included in the study. Anesthesia was induced with 2 mg/kg intramuscular tiletamine, 2 mg/kg zolazepam, and 2 mg/kg xylazine and deepened with 3% halothane before tracheal intubation with a 7.5-mm-internal-diameter tube. The animals were mechanically ventilated (Ohio Medical Systems, Madison, WI) with 0.5-1.0% isoflurane in air, by using a tidal volume of 8-10 ml/kg and a ventilator rate sufficient to maintain arterial blood carbon dioxide tension within 35 to 45 Torr.

Tidal volume (NVM-1, Bear Medical Systems, Riverside, CA), airway pressure (Pneumogard 1200, Novametrix, Wallingford, CT), and end-tidal carbon dioxide concentration (Nellcor, Hayward, CA) were monitored at the proximal end of the tracheal tube. A pulse oximeter probe (Nellcor) was attached to the animal's upper extremity for monitoring heart rate and oxyhemoglobin saturation (SpO2). A femoral artery was cannulated for direct measurement of blood pressure and for sampling of arterial blood. A pulmonary arterial catheter was inserted via the right jugular vein for monitoring of pulmonary arterial and pulmonary capillary occlusion pressures, mixed venous oxyhemoglobin saturation, cardiac output, and core temperature and for sampling of mixed venous blood (Oximetrix 3, Abbott, Abbott Park, IL). Before induction of lung injury, the animals received 1,000 ml of Ringer lactate in anticipation of fluid shifts caused by oleic acid. Subsequently, Ringer lactate was infused to maintain pulmonary arterial occlusion pressure between 9 and 14 mmHg; core temperature was maintained with a heating blanket.

Sound generation and recording. Broad-band noise was generated digitally (22,050 Hz, 16 bit, Cool Edit 2000, Syntrillium, Phoenix, AZ) and power amplified (40-W root mean square, 70-20,000 Hz, MPA-50, Optimus, Fort Worth, TX) to drive a 40-W, 5.25-in. speaker (catalog #40-1031, Radio Shack, Fort Worth, TX). The speaker was housed in a custom-made acoustically insulated case that attenuated the generated sound by >40 dB (Fig. 1). The 4-cm frontal opening of the case was tapered to fit a three-way stopcock that connected the sound source to the breathing circuit in such a way that the sound pathway was straight and the breathing circuit attached to the T piece at a 90° angle. The three-way valve allowed the loudspeaker to be excluded from the circuit while the animal was being mechanically ventilated between measurements.


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Fig. 1.   Frequency and power plots of recordings made from inside and outside the breathing circuit, illustrating the attenuating effect of the loudspeaker enclosure. The recordings were made at the proximal end of the tracheal tube and at a distance corresponding to chest sensor location, respectively.

The transmitted sound was picked up by an electret microphone (70-16,000 Hz, catalog #33-3013, Radio Shack) connected to the speaker outlet, and by seven PPG sensors (Linear 50-2,000 Hz, response range 10-5,000 Hz, PPG-02, Technion, Haifa, Israel), one placed over the neck and six on the chest wall. The chest sensors were placed bilaterally over the dependent lung 5 cm laterally from the spine, on the nondependent lung 5 cm from the sternum, and on the lateral midlung, halfway between the other two locations. The sensors were secured to the shaved chest with a circumferential elastic strip.

The signal from each sensor was amplified (blue tube, Presonus, Baton Rouge, LA) and digitized at 10,000 samples/s into a portable computer by using a 16-channel, 16-bit analog-to-digital converter board (PCI-6035E, National Instruments, Austin, TX) inserted into a PCI expansion system (CB1F, Magma, San Diego, CA). The data acquisition and the determination of the transfer function magnitude, coherence, and phase occurred on-line (Trans19 Software, Technion). Each record was 5 s long; the software used multiple (n = 194) 512-point segments with 50% overlap to calculate the average transfer function for each input-output pathway. The magnitude, coherence, and phase of the transfer function were displayed on-line and saved as ASCII files. In addition, the raw signals from all of the sound channels were recorded for off-line analysis.

The integrated hardware-software system was tested and validated by verifying that all of the sensors had identical frequency responses under a load similar to that present during the experiments. Feeding known input and output files with predetermined transfer characteristics between them was used to check the software.

Experimental protocol. After instrumentation, a stabilization period of 30 min was allowed before baseline measurements. To restore lung history, three manual inflations with a peak airway pressure of 45 cmH2O were given at 10-min intervals throughout the study. Systemic arterial, pulmonary arterial, and pulmonary capillary occlusion pressures, heart rate, and body temperature were recorded, and arterial and mixed venous blood samples were drawn for measurement of blood gases (IL-482, Instrumentation Laboratories, Lexington, MA) and oxyhemoglobin saturation (IL-1620, Instrumentation Laboratories). Cardiac output was measured in triplicate by thermodilution by using 10 ml of lactated Ringer solution injected at random moments during the respiratory cycle. End-expiratory and peak inspiratory airway pressures and exhaled tidal volume were recorded off of the displays of the respective monitoring devices. The sound measurements were then made during a 5-s period of apnea induced by switching off the ventilator.

Baseline measurements were made four times at 20-min intervals. Thereafter, acute lung injury was induced gradually by repeated injections of oleic acid 0.1 ml into the right atrial port of the pulmonary arterial catheter at 5- to 10-min intervals. Oleic acid injections were continued until the arterial oxygen tension-to-inspired oxygen fraction ratio fell consistently <250. Oxygen was added to the fresh gas flow to maintain SpO2 >= 90%. Acoustic and hemodynamic measurements were repeated at 20-min intervals throughout the development of lung injury. The sequence and timing of data collection, oleic acid injections, and lung inflations were maintained unchanged. To verify sensor placement and the presence and distribution of lung injury, posterior-anterior and lateral chest radiographs were obtained from one animal before and after lung injury. After final measurements at stable lung injury, the animals were killed with a large intravenous dose of pentobarbital. Thereafter, the lungs were removed, examined, weighed, and inflated to a constant airway pressure of 40 cmH2O for 48 h, after which they were reweighed.

Data analysis. Venous admixture was calculated from arterial and mixed venous blood gas and saturation results with the use of standard formula. Dynamic compliance was calculated by dividing the exhaled tidal volume by the airway pressure amplitude.

The frequency distribution of the sound transfer function, amplitude, and coherence were plotted for each recording. All amplitude plots for a given sensor location were superimposed, and the plots were examined for peak amplitude. Amplitude peaks <100 Hz were not considered because of the interference from heart sounds and because low-frequency sounds are not likely to travel down to small airways (5, 14). The frequency at which the amplitude was highest and the coherence of the input and output signals was >0.4 was selected, and that amplitude is reported as the peak amplitude for a given sensor location. To eliminate the effect of changing amplification of the recorded signals between sensors and animals, we also calculated the fractional change in amplitude relative to the average baseline value for measurements made during lung injury.

The results are presented as means ± SD. The statistical significance of the observed changes was evaluated by using Friedman's nonparametric analysis of variance, because deviation from normal distribution and inequality of variances could not be reliably ruled out (12). The strength of association between changes in sound transmission amplitude and physiological variables reflecting lung injury was tested with Pearson's linear regression analysis. Individual correlation coefficients, calculated separately for each subject, are reported, along with overall correlations based on population averages at each data collection point. These calculations were performed separately for anterior, lateral, and posterior lung regions averaging data from the corresponding regions of both lungs. Results were considered statistically significant if the probability of type alpha -error was <5%.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Physiological measurements. One of the six animals developed acute pulmonary hypertension and died early during induction of lung injury. This reduced the number of animals included in the data analysis to five. Changes in variables reflecting cardiopulmonary function before and during induction of lung injury are shown in Table 1. The hemodynamic response to oleic acid administration was characterized by a slight increase in heart rate and blood pressure, a dramatic increase in pulmonary arterial pressure, and a 23% fall in cardiac output. Despite generous volume resuscitation, the blood hemoglobin concentration increased, likely reflecting fluid flux into the extravascular space of the lungs. Adjustments in ventilator settings and inspired oxygen fraction maintained ventilation and oxygenation within target ranges. The anesthesia breathing circuit effected a 4- to 5-cmH2O positive expiratory pressure at the proximal end of the tracheal tube throughout the study, even though external positive end-expiratory pressure was not used. The oleic acid injections resulted in a 48% increase in peak airway pressure, a 39% fall in respiratory system compliance, and an almost 10-fold increase in venous admixture. Examination of the lungs at the end of the study revealed in each animal a severe lung injury with froth in the large airways and the dependent one-third of the lung parenchyma consolidated or atelectatic. The isolated lungs were completely expandable with a pressure of 40 cmH2O; the wet-to-dry lung weight ratio was 4.2 ± 1.2. 

                              
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Table 1.   Changes in variables reflecting cardiopulmonary function in 5 pigs during induction of acute lung injury with oleic acid

Sound measurements. Whereas the characteristics of the signal recorded at the outlet of the loudspeaker box were similar to the original white noise, considerable attenuation occurred in the circuit connectors and the tracheal tube. A sensor placed outside the exposed trachea at the tip of the tracheal tube recorded two distinct peaks of sound transfer at frequency bands from 300 to 800 Hz and from 1,400 to 2,500 Hz (Fig. 2). This pattern of sound transmission could be seen consistently when recordings were made in intact animals, regardless of the position of the sensor. A frequency range from 1,500 to 2,500 Hz contained, without exception, the highest amplitudes and the largest changes during developing lung injury (Fig. 3). Therefore, in addition to peak amplitude values, we also report amplitudes averaged over a frequency band between 1,500 and 2,500 Hz. The coherence averaged over this frequency band was 0.81 ± 0.04 in the dependent areas of the lung during injury.


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Fig. 2.   Frequency distribution of the transfer function amplitude recorded from outside the exposed trachea at the tip of the tracheal tube. The system allows transmission at 2 major frequency bands: from 300 to 800 Hz and from 1,400 to 2,500 Hz.



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Fig. 3.   Frequency distribution of the transfer function amplitude recorded from the dependent region of the right lung in a representative animal during development of oleic acid-induced lung injury. Lines representing recordings made at different phases of the injury are superimposed. The highest amplitudes and the largest increase in amplitude are seen at a frequency band from 1,500 to 2,500 Hz. The times are minutes after start of oleic acid injections.

During the baseline period, the transfer function amplitude averaged across all sensors was 1.04 (median 0.38, range 0.0014-11.01); the within-subject standard deviations of baseline measurements averaged 0.21 (median 0.11, range 0.0015-0.97). No statistically significant changes were found in sound transfer function amplitude of any sensor during the baseline measurement period. The baseline amplitude values for each sensor were averaged for comparison with recordings made during lung injury.

The average peak absolute transmission amplitudes for each sensor are shown in Table 2; the average mean amplitudes calculated for a frequency band from 1,500 to 2,500 Hz are depicted in Fig. 4 in reference to the average baseline values. During the development of lung injury, both the peak and the mean sound transmission amplitudes increased statistically significantly in the sensors overlying the posterior and lateral lung fields, whereas no significant change was observed in the sensors attached to the anterior part of the chest. The average change from baseline was more than fivefold in the posterior-dependent regions of both lungs, compared with the two- to threefold slower increase recorded from the lateral lung fields (Fig. 4). The sound transmission amplitudes in the anterior, nondependent lung regions stayed unchanged at baseline level throughout the study.

                              
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Table 2.   Absolute amplitude of the lung sound transfer function recorded from 6 sensors overlying 3 lung regions bilaterally, before and after development of oleic acid-induced lung injury



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Fig. 4.   Mean amplitude of the lung sound transfer function relative to baseline level over a frequency band from 1,500 to 2,500 Hz, recorded with 6 sensors overlying 3 lung regions bilaterally, during development of oleic acid-induced lung injury. Data points are average values for all 5 animals. BL, baseline; R, right; L, left. Each unit on the vertical axis denotes an amplitude twice the baseline average. Values are means ± SD. For clarity, SD bars are only shown for 1 region. * P < 0.05.

High within-subject correlations were observed between sound transmission amplitude of the posterior (dependent) lung regions and the concurrent increase in venous admixture (r = 0.82 ± 0.07; range 0.74-0.90) and the decrease in dynamic respiratory system compliance (r = -0.87 ± 0.05; range -0.80 to -0.93). Linear regression analysis based on population averages at each data collection point likewise yielded high correlations for venous admixture (r = 0.98) and dynamic compliance (r = -0.98) (Fig. 5). The corresponding overall correlations were lower but statistically significant for the lateral lung regions (r = 0.91 and -0.94, respectively, P < 0.05) and not statistically significant for the anterior areas (r = 0.56 and -0.58, respectively).


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Fig. 5.   Association among average peak sound transmission amplitude of the posterior lung fields, venous admixture (), and dynamic respiratory system compliance () during development of oleic acid-induced lung injury. Data points are averages of all 5 animals at various phases of the study.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The results of this study show that the development of acute oleic acid-induced lung injury alters the sound-filtering characteristics of the porcine respiratory system and that these changes contain information that can be used to evaluate the extent and distribution of the injury.

Considering the high incidence of pulmonary disorders in critically ill patients and the widespread use of the stethoscope, relatively little is known about changes in pulmonary acoustics in patients with acute lung injury (8). Studies in healthy humans have established that the mouth-to-chest transit time of an acoustic wave is 1.5-5 ms, corresponding to a velocity of 60-80 m/s, considerably slower than the speed of sound in air, and that the amplitude of sound transfer decreases gradually with increasing frequency (6). Although the exact pathway of sound propagation through the bronchial tree and lung parenchyma is not known, low frequencies are believed to exit the central airways and travel along tissue paths, whereas higher frequencies are transmitted to more peripheral airways (5, 14).

In the past, clinicians have used auscultation of sounds vocalized by the patient in an attempt to detect regional lung volume loss. Baughman and Loudon (2) studied frequency spectra of the vocalized "e" sound transmitted through the chest and documented enhanced transmission of frequencies from 400 to 1,000 Hz through consolidated lung. Our results are in agreement with this finding.

Only two experimental studies have investigated changes in pulmonary acoustics during acute conditions affecting the lung. Donnerberg et al. (3) measured sound transmission index, defined as the logarithm of the output-to-input power ratio of sound introduced into the canine airway, while effecting pulmonary vascular congestion using a left atrial balloon. They found a direct correlation between the sound transmission index and the degree of pulmonary congestion. Ploysongsang et al. (11) recorded the power spectra of natural lung sounds in five dogs, two with interstitial and three with alveolar hydrostatic pulmonary edema from overhydration. They noted a right shift of the power spectrum, which correlated well with the degree of hypervolemia and impairment in pulmonary mechanics and gas exchange. These results show that, at least in hydrostatic pulmonary edema, acoustic changes in the respiratory system could be used to quantitate the degree of pulmonary dysfunction. No attempt to localize the injury was made in these investigations.

The porcine oleic acid model is generally accepted as one resembling human acute permeability-type lung injury. The oleic acid administration protocol in this study produced a severe acute lung injury confirmed with measurements of gas exchange and lung mechanics, radiography, and postmortem examination. The characteristics of this injury, including hemodynamic changes and mortality, were comparable to results previously published by others (7). We also confirmed a gravity-dependent inhomogeneity of the injury: severe volume loss in the dependent parts of the lungs, nearly normal-appearing lung in the nondependent areas, and a gradual transition between these extremes, depending on vertical location. The observed deterioration of gas exchange and lung mechanics appeared to be caused primarily by alveolar collapse, rather than fluid extravasation, because the lungs were fully expandable after removal and their wet-to-dry weight ratio had increased relatively little.

It was apparent from recordings made over the exposed trachea at the tip of the tracheal tube that considerable filtering of sound generated by the loudspeaker occurred in the artificial airway (Fig. 2). Whereas this fact narrows the useful frequency range considerably and may result in the loss of some information, it did have two favorable consequences. First, the fact that the frequency pattern detected by the chest wall sensors was nearly identical to the one measured at the trachea (Figs. 2 and 3) indicates that the recorded signal was not contaminated by direct airborne sound transfer between the source and the sensor. Second, because the 1,500- to 2,500-Hz frequency band that passed through the breathing circuit was highly responsive to the lung injury, the sound generation can be focused closer to that band. This allows more compact sound generation equipment to be used in future studies. The extent to which variations in the breathing circuit design influence the filtering of generated sound requires further study.

Our experimental setup allowed the output of each sensor to be amplified independently. At the beginning of each experiment, the gain of each channel was adjusted to provide a recordable signal; these amplifier settings were then used for the remainder of the experiment. Because gain settings were different for each channel in the same subject and for the same channel in different subjects, the absolute values of transfer function amplitude between sensors or between subjects have little meaning in this study. Specifically, the high absolute average amplitude over the right nondependent lung (Fig. 6) results from such differences in gain settings and does not reflect true lateralization of transmitted sound, which has been observed in normal humans (9, 13). In contrast, the magnitude of change in amplitude is comparable both between sensors and between subjects and represents a real change in sound transmission characteristics.


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Fig. 6.   Peak amplitude of the lung sound transfer function recorded with 6 sensors overlying 3 lung regions bilaterally, during development of oleic acid-induced lung injury. Data points are average values for all 5 animals. * P < 0.05.

Within-subject baseline variability in both mean and peak sound transmission amplitude was small compared with the two- to fivefold average increase in the amplitude during lung injury in the posterior and lateral lung fields (Fig. 6). Increase in the sound transmission peak amplitude was evident in the first measurements 20 min after the first oleic acid dose in the sensors overlying the dependent parts of the lungs. By this time, venous admixture and respiratory system compliance also showed evidence of lung injury. The design of the present study does not allow us to evaluate more precisely the time course of changes in sound transmission, lung mechanics, and gas exchange. The correlation of sound transmission amplitude with venous admixture and respiratory system compliance was remarkably high both within subjects and in the study population as a whole. The closely associated changes in sound transfer function amplitude, gas exchange, and lung mechanics may reflect derecruitment of an increasingly large volume of lung tissue as the injury develops. This is also seen in the spreading of the sound transmission changes from sensors overlying the dependent lung to those located laterally over less dependent areas.

Sound conduction through the respiratory system passes sequentially through the airways, lung parenchyma, pleural space, and the chest wall. Pulmonary edema can theoretically affect airway sound conduction by blocking the airways with fluid, thereby diminishing sound transmission. This phenomenon was not observed in the present study; sound conduction actually increased as the injury became more severe. Pulmonary pathology also may alter the density and air-to-tissue ratio of the affected parenchyma. Diminution of the spongy characteristics of the lung reduces the acoustic attenuation (insulation) in the lung, thus enhancing sound transmission to the pleural surface. In addition, the increased density of the lung improves the acoustic impedance matching between the lung parenchyma and the chest wall across the pleural space. The result of the latter mechanism is increased transmission and reduced reflection at the interface between the lung and the chest wall. Additional basic research is needed to determine the contribution of the various mechanisms and to evaluate the significance of the specific frequency band observed in the present study.

Studies in patients with acute lung injury over the last decade have established the inhomogeneous nature of pathological changes in the lung parenchyma and directed attention to interventions, such as positioning, to alter their distribution (1, 4, 10). Although continuous techniques to evaluate global lung mechanics and gas exchange are routinely available for these patients, information regarding the distribution of injury can only be obtained intermittently and with considerable cost. We have shown in this experimental study that the pathophysiological changes in oleic acid-induced acute lung injury alter the sound-filtering characteristics of the respiratory system and that these changes can be measured and monitored acoustically in a noninvasive manner. Acoustic monitoring with multiple sensors provides localizing information of lung injury that cannot be obtained with any other currently available bedside technique.


    FOOTNOTES

Address for reprint requests and other correspondence: J. Räsänen, Dept. of Anesthesiology, Mayo Clinic, MB 2-752, 200 First St. SW, Rochester, MN 55905 (E-mail: Rasanen.Jukka{at}mayo.edu).

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

First published March 1, 2002;10.1152/japplphysiol.01238.2001

Received 17 December 2001; accepted in final form 25 February 2002.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

1.   Artigas, A, Bernard GR, Carlet J, Dreyfuss D, Gattinoni L, Hudson L, Lamy M, Marini JJ, Matthay MA, Pinsky MR, Spragg R, and Suter PM. The American-European Consensus Conference on ARDS. II. Ventilatory, pharmacologic, supportive therapy, study design strategies and issues related to recovery and remodeling. Intensive Care Med 24: 378-398, 1998[Web of Science][Medline].

2.   Baughman, R, and Loudon R. Sound spectral analysis of voice-transmitted sound. Am Rev Respir Dis 134: 167-169, 1986[Medline].

3.   Donnerberg, RL, Druzgalski CK, Hamlin RL, Davis GL, Campbell RM, and Rice DA. Sound transfer function of the congested canine lung. Br J Dis Chest 74: 23-31, 1980[Web of Science][Medline].

4.   Gattinoni, L, Pelosi P, Vitale G, Pesenti A, D'Andrea L, and Mascheroni D. Body position changes redistribute lung computed-tomographic density in patients with acute respiratory failure. Anesthesiology 74: 15-23, 1991[Web of Science][Medline].

5.   Kraman, SS, and Bohadana AB. Transmission to the chest of sound introduced at the mouth. J Appl Physiol 66: 278-281, 1989[Abstract/Free Full Text].

6.   Mahagnah, M, and Gavriely N. Gas density does not affect pulmonary acoustic transmission in normal men. J Appl Physiol 78: 928-937, 1995[Abstract/Free Full Text].

7.   Neumann, P, and Hedenstierna G. Ventilation-perfusion distributions in different porcine lung injury models. Acta Anaesthesiol Scand 45: 78-86, 2001[Web of Science][Medline].

8.   Pasterkamp, H, Kraman SS, and Wodicka GR. Respiratory sounds. Advances beyond the stethoscope. Am J Respir Crit Care Med 156: 974-987, 1997[Free Full Text].

9.   Pasterkamp, H, Patel S, and Wodicka GR. Asymmetry of respiratory sounds and thoracic transmission. Med Biol Eng Comput 35: 103-106, 1997[Web of Science][Medline].

10.   Pelosi, P, D'Andrea L, Vitale G, Pesenti A, and Gattinoni L. Vertical gradient of regional lung inflation in adult respiratory distress syndrome. Am J Respir Crit Care Med 149: 8-13, 1994[Abstract].

11.   Ploysongsang, Y, Michel RP, Rossi A, Zocchi L, Milic-Emili J, and Staub NC. Early detection of pulmonary congestion and edema in dogs by using lung sounds. J Appl Physiol 66: 2061-2070, 1989[Abstract/Free Full Text].

12.   Sachs, L. Applied Statistics. New York: Springer Verlag, 1982, p. 549-555.

13.   Wodicka, GR, DeFrain PD, and Kraman SS. Bilateral asymmetry of respiratory acoustic transmission. Med Biol Eng Comput 32: 489-494, 1994[Web of Science][Medline].

14.   Wodicka, GR, Stevens KN, Golub HL, Cravalho EG, and Shannon DC. A model of acoustic transmission in the respiratory system. IEEE Trans Biomed Eng 36: 925-934, 1989[Medline].

15.   Wodicka, GR, Stevens KN, Golub HL, and Shannon DC. Spectral characteristics of sound transmission in the human respiratory system. IEEE Trans Biomed Eng 37: 1130-1135, 1990[Web of Science][Medline].


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