Journal of Biomechanics 32 (1999) 891}897 Analysis of stress distribution in the alveolar septa of normal and simulated emphysematic lungs A. Gefen , D. Elad *, R.J. Shiner Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel Department of Clinical Respiratory Physiology, The H. Sheba Medical Center, Tel Hashomer 52621, Faculty of Medicine, Tel Aviv University, Israel Received 15 April 1999 Abstract The alveolar septum consists of a skeleton of "ne collagen and elastin "bers, which are interlaced with a capillary network. Its mechanical characteristics play an important role in the overall performance of the lung. An alveolar sac model was developed for numerical analysis of the internal stress distribution and septal displacements within the alveoli of both normal and emphysematic saline-"lled lungs. A scanning electron micrograph of the parenchyma was digitized to yield a geometric replica of a typical two-dimensional alveolar sac. The stress-strain relationship of the alveolar tissue was adopted from experimental data. The model was solved by using commercial "nite-element software for quasi-static loading of alveolar pressure. Investigation of the state of stresses and displacements in a healthy lung simulation yielded values that compared well with experimentally reported data. Alteration of the mechanical characteristics of the alveolar septa to simulate elastin destruction in the emphysematic model induced signi"cant stress concentrations (e.g., at a lung volume of 60% total capacity, tensions at certain parts in an emphysematic lung were up to 6 times higher than those in a normal lung). The combination of highly elevated stress sites together with the cyclic loading of breathing may explain the observed progressive damage to elastin "bers in emphysematic patients. 1999 Elsevier Science Ltd. All rights reserved. Keywords: Lung parenchyma; Alveolar wall; Finite element method 1. Introduction The alveolar septum is a very thin structural framework that ensures a minimal barrier between air and blood, while a relatively enormous surface of contact is maintained for e$cient gas exchange (Fung and Sobin, 1972). It consists of a skeleton of "ne collagen and elastin "bers which are interlaced with the capillary network (Weibel, 1970,1983). The structural organization which comprises extensible elastin "bers, woven in nonextensible collagen networks, allows the lung to in#ate within the normal range, and also provides support and a high level of sti!ness at limiting volumes (Mead, 1961). Alteration of the distribution and relative densities of these "bers results in redistribution of stresses and displacements in the lung micro structures, which may consequently induce pathological changes in alveoli as seen in di!erent lung diseases (Vawter et al., 1975; Denny and Schroter, 1995). * Corresponding author. Tel.: #972-3-640-8476; fax: #972-3-6407939. E-mail address: [email protected] (D. Elad) The role of the relative content of collagen and elastin in lung pathologies has been clearly demonstrated in emphysema, a condition which is characterized by abnormal permanent enlargement of air spaces distal to the terminal bronchioles, accompanied by destruction of their walls due to degradation of elastin "bers (Saetta et al., 1985a,b; Snider et al., 1985; Nagai et al., 1991). Simulation of emphysema states in animal lungs by elastase or collagenase treatment showed that the initial reduction in elastin density after application of the enzyme subsequently led to the breakdown of many more elastin "bers during the following 12 weeks (Sugihara and Martin, 1975; Mercer and Crapo, 1992). Recent models of the lung parenchyma have used various geometrical bodies (e.g. truncated octahedrons, dodecahedrons or a combination of cones, spheroids and ellipsoids) to describe the volumetric structure of the alveolar region (Dale et al., 1980; Fung, 1988; Kimmel and Budianski, 1990; Denny and Schroter, 1995). These models successfully described the mechanical characteristics of the whole lung and provided information on its gross mechanical behavior. However, they were not designed to study the internal distribution of stresses within 0021-9290/99/$ - see front matter 1999 Elsevier Science Ltd. All rights reserved. PII: S 0 0 2 1 - 9 2 9 0 ( 9 9 ) 0 0 0 9 2 - 5 892 A. Gefen et al. / Journal of Biomechanics 32 (1999) 891}897 alveolar walls. The present model was developed to study the stresses within the parenchymal microstructure in order to facilitate better understanding of the mechanical factors at work in lung disease. For example, analysis of the mechanical aspects of elastin breakdown in the alveolar septa during the development of emphysema. 2. Methods 2.1. Rationale The overall performance of the lung is controlled by the mechanics of its microstructure. However, the alveolar sac structure is too small to allow direct stress}strain measurements. On the other hand, a great deal of understanding of its mechanical behavior has been gained from experiments with samples of lung parenchyma (Hoppin et al., 1975; Yager et al., 1992), from detailed micrographs of the alveolar region (Weibel, 1983) and from model simulations of the parenchymal structure (Dale et al., 1980; Kimmel et al., 1987; Fung, 1988; Denny and Schroter, 1995). It is generally accepted that the relative content of elastin and collagen in the alveolar walls determines the gross mechanics of the lung, but the "ber organization and the precise stress distribution within the septal walls of normal and pathological lungs are unknown. Accordingly, the goal of this study was to investigate the stress distribution within the septal walls of a simpli"ed two-dimensional (2D) model of an alveolar sac, which is based on a realistic anatomical structure and available experimental data. 2.2. Microscopic model of the parenchyma The microscopic structure of the lung parenchyma may be represented by a respiratory unit (the acinus) which is composed of alveolar ducts that branch o! a terminal bronchiole and terminate at common chambers of multiple individual alveoli, called alveolar sacs (Fig. 1). Each lung comprises abundant alveoli (about 150;10), which are distributed within the pleural membrane and constitute the open space for respiratory gases. When the lung is in#ated to a volume of < due to * a transpulmonary pressure, P "P !P (P * al veolar pressure, P * pleural pressure), the alveolar septa of all the alveoli that "ll the parenchymal space are stretched by forces (¹) that maintain an open lung under quasi-steady equilibrium (Mead et al., 1970; Wilson, 1972; Mead, 1973; Elad et al., 1988). In this study we have developed a 2D model of a typical alveolar sac structure (Fig. 1), whose geometry is taken from a scanning electron microscope image. In the absence of experimental data on the forces ¹ transmit ted from the pleural membrane to the outer walls of a single alveolar sac, it is assumed for modeling purposes Fig. 1. Schematic description of the lung parenchyma microstructure. The lung is in#ated due to a transpulmonary pressure P "P !P (P * alveolar pressure, P * pleural pressure). The alveolar septa are stretched by traction forces ¹ that maintain an open lung under steady equilibrium. that these forces are due to uniformly distributed stresses (p ) within the neighboring septa. The present model was developed for a saline-"lled lung, thus the issue of surface tension due to the liquid lining on the septal walls was not addressed. The traction stresses (p ) at di!erent lung volumes were approximated by a global analysis of internal stresses within the septal walls. The neutral state of the lung is assumed to be at < "35% of the total lung capacity * (TLC) at which the lung is in#ated with open alveolar spaces, but with zero stresses within the alveolar septa and bronchial tree (Wilson and Bachofen, 1982; Elad et al., 1988). Accordingly, the characteristic stretch ratio (j) of any alveolar wall at a given lung volume (< ) can be * approximated by using the generally accepted relationship (Hoppin et al., 1975), j"¸/¸ "(A/A )"(< /< ), (1) * * where ¸ and A are typical length and area, respectively. The experimental pressure}volume data obtained from a saline-"lled rabbit lung (Gil et al., 1979) can be used to approximate j from Eq. (1) for any < as determined by * P . The traction stresses on the external boundaries of the alveolar sac model were determined from experimental stress-stretch data of human lung samples (Sugihara et al., 1971), and are given in Table 1. 2.3. Geometry of an alveolar sac The geometry of a typical alveolar sac was extracted from a scanning electron micrograph of a mouse's A. Gefen et al. / Journal of Biomechanics 32 (1999) 891}897 893 Table 1 Alveolar pressures (P ) and traction stresses (p ) at di!erent lung volumes (< ). The values of P vs. < are taken from Gil et al. (1979), * * the values of j are computed from Eq. (1), and the corresponding p are taken from Eq. (2) which was "tted to the data of Sugihara et al. (1971) P (cm H O) < * (%TLC) j p (KPa) 3 3.5 4 5 6 7.5 10 12 35 40 45 60 70 90 95 100 1 1.046 1.088 1.197 1.260 1.370 1.395 1.419 0 0.1 0.25 1 2 5 6 7 Fig. 3. Two-dimensional model of a typical alveolar sac subjected to biaxial loading due to uniformly distributed stresses (p ) in the neigh boring septal walls. The constraints at the two edges of the sac's `moutha are marked by triangles. Fig. 2. A scanning electron micrograph (180;) of a mouse lung parenchyma (Lawrence Berkley Laboratories, USA; http://www-itg.lbl.gov). The white circle marks the region from which the geometry for the alveolar sac model was extracted. parenchymal tissue (Fig. 2) which was "xed by inspiration of glutaraldehyde and instantly coated with gold and platinum to maintain its realistic geometry (Lawrence Berkley Laboratories, USA; http:/www-itg.lbl.gov). Utilization of data from the mouse parenchyma is justi"ed since the general shape of septal structures is common to all mammals, although alveolar dimensions do di!er between species (Weibel, 1983; Mercer et al., 1994; Fung, 1988). The latter was taken into consideration by appropriate scaling of the data. The alveolar zone is composed of numerous alveolar sacs of an almost in"nite number of geometrical shapes. However, all the alveoli perform the same function of gas transfer, and their overall dimensions (e.g. volumes and wall thickness) are of the same order of magnitude. Therefore, we selected a typical geometry for the model from the region marked by the white circle on the parenchymal image in Fig. 2. The region of interest was pro- cessed using edge-detecting algorithms (e.g., sharpen, edge enhancement, posterize and median image "lters) to de"ne the alveolar septa geometry for the 2D model. The contours of the alveolar walls were digitized and scaled to ensure an averaged human septal thickness of 8 lm (Sugihara et al., 1971; Mercer et al., 1994). The inner and outer contours of the septal walls were digitized by 265 points at a resolution of approximately 1 lm. A movingaverage "lter was utilized to reduce errors during digitization and to produce smooth contours without loss of signi"cant information (Fig. 3). 2.4. Constitutive law of the parenchymal tissue The septal tissue is assumed to be an isotropic nonlinear elastic material. Its mechanical characteristics were taken from Sugihara et al. (1971) who conducted uniaxial length-tension measurements on healthy and diseased human lungs. Sugihara's data from a normal, healthy human lung were "tted to the following expression (Elad et al., 1988) p"jL!j\L, (2) where p is the stress in KPa, j is the stretch ratio (Eq. (1)) and the best "t was obtained for the coe$cients n "8 and n "!6.4 (Fig. 4). The instantaneous tissue sti! ness is given by dp E(j)" "n jL\#n j\L\. dj (3) 894 A. Gefen et al. / Journal of Biomechanics 32 (1999) 891}897 Fig. 4. Stress-strain curves of uniaxial tension of the lung parenchyma tissue: (䊏) data from a healthy human lung specimen (Sugihara et al., 1971), (solid line) regression curve to the data of a healthy lung, (dashed line) curve for the early stage of emphysema. Assuming that lung tissue exhibits a linear behavior in the vicinity of any instantaneous deformation, the shear modulus can be obtained from the length-tension curve (Eq. (2)) as follows: E(j) n jL\#n j\L\ G(j)" " , 2(1#l) 2(1#l) (4) where the Poisson ratio was taken to be l"0.4 (LaiFook, 1981). At the neutral state (< "35% TLC), * E(j"1)"n #n "4 cm H O (or 0.39 KPa) which is similar to the results of indentation measurements in saline-"lled rabbit lungs (Stamenovic and Yager, 1988). It is generally accepted that the volumetric densities of elastin and collagen are nearly the same in the septal walls of healthy lungs (Matsuda et al., 1987; Mercer and Crapo, 1990), while in emphysema there is a signi"cant reduction in relative volume density of elastin (Sugihara and Martin, 1975; Mercer and Crapo, 1992; Cardoso et al., 1993). Sugihara et al. (1971) obtained signi"cantly higher slopes in the force}extension curves of all the emphysematic lungs as compared to normals, regardless of tissue age. Similarly, conversion of pressure}volume curves of normal and emphysematic lungs (Comroe, 1974) to pressure}strain relationships using Eq. (1) shows material sti!ening during the progress of emphysema. For example, an emphysematic specimen was found to bear four times greater forces than those carried by a normal specimen, for the same extensions j in the range of 1}1.4 (Sugihara et al., 1971). Here, we assumed that for the early stages of emphysema, the stresses required to induce a given deformation are twice as large as in normal lungs (Fig. 4). 2.5. Numerical method The data specifying the contours of the alveolar sac geometry were transferred to the ANSYS 5.0 commercial "nite-element software package in order to determine the quasi-steady stress distribution and displacements of the alveolar sac model for given lung volumes. Automatic Fig. 5. The mesh of the alveolar sac model (Fig. 3) for the "nite-element solver. meshing was used to generate 513 quadrilateral and triangular elements that describe the alveolar sac walls (Fig. 5). Each of the selected elements has eight nodes which are well suited for curved boundaries and allow for large displacements. Each node has two degrees of freedom, i.e., translation in the x and y directions, a state which is compatible with compound stresses. The boundary conditions at each lung volume included the corresponding alveolar pressure (P ), external traction stresses from neighboring septal walls (p ), and constraints on the two edges of the alveolar sac `moutha, which allowed only rotation (but not translation in the x and y directions). Releasing each of the constraints for translation in the x direction caused no signi"cant changes in the resulting stress distribution. Similarly, allowing for stress gradients as traction forces on the external boundaries (0.75p }1.25p ) did not reveal any signi"cant di!erences in both location and values of stress concentrations. The computational procedure started at < . The * alveolar pressure P was then incrementally increased as shown in Table 1, while the corresponding traction stresses p and the resulted distribution of stresses within the septal walls were calculated for each new P . For every lung volume, the general equilibrium equations were solved for planar stresses within approximately 10 min on a Pentium 200MMX CPU. 3. Results The model was utilized to study stress distributions within the septal walls. The distributions of principal A. Gefen et al. / Journal of Biomechanics 32 (1999) 891}897 895 Fig. 7. (a) The predicted displacement of the alveolar sac at < "45% * TLC with respect to its shape at < , (b) Area vs. Pressure of the * alveolar sac at di!erent lung volumes. (Solid line) model predictions, (dashed line) experimental data of Hoppin et al. (1975). Fig. 6. Predicted distributions of principal tension stresses (in KPa) in (a) normal and (b) emphysematic alveolar septa at < "45% TLC * (P "4 cm H O). tension stresses (which align with the local curvature of the septum) in normal and emphysematic alveolar sacs at < "45% TLC that corresponds to P "4 cm H O * (391.92 Pa), are shown in Fig. 6. The walls of the normal alveolar sac withstand average tension values of 0.6 KPa, but the tension increases to more than 15 KPa around sharp edges or curves. In contrast, the tension stresses within internal walls shared by adjacent alveoli, are nearly zero (Fung, 1988). The predicted shape of the alveolar sac at < "45% TLC, in comparison with the neutral * state at < , is shown in Fig. 7a. This drawing clearly * shows that the alveolar sac wall deformation is not uniform. The alveolar sac mouth opens toward the interior aspect as the whole structure expands. The predicted displacements were used to calculate the area of the 2D geometry of the alveolar sac at any < that corresponds * to the range of P from 0}12 cm H O in order to evalu ate area changes (A/A ). Evaluation of the area change for each di!erent < enabled us to construct a pressure* area curve, similar to the experimental data of Hoppin et al. (1975). In order to compare experimental data of volume versus pressure, we transformed volumes into areas using Eq. (1). Fig. 7b depicts the theoretical and experimental curves that are nearly the same, thus validating our model. Regions of highly intensi"ed stress in the emphysematic model (Fig. 6b) were circled for clearer identi"cation. Two representative sections at the septal wall (A}A and B}B in Fig. 6b) were delineated in order to compare the stress distributions across them in the normal and pathologic lung models. The comparison is shown in Fig. 8 for three di!erent lung volumes. As shown graphically in the above "gures, local highly elevated compound stresses are developed around sharp edges and curves. 4. Discussion The new model of the alveolar sac presented in this study is capable of predicting the distribution of tension 896 A. Gefen et al. / Journal of Biomechanics 32 (1999) 891}897 stresses and pressures within alveolar walls, thereby, offering a new perspective on the micromechanical behavior of parenchymal tissue in healthy and diseased lungs. The 2D geometry of a typical alveolar sac was taken from a micrograph image of a real lung parenchyma, whereas the mechanical characteristics of the septal material were determined from published experimental data. Accordingly, the model can be utilized to simulate lung volume-dependent stress distributions in the parenchymal microstructure in di!erent pathological states. The predictions of the present model were compared with the pressure}area experimental data of Hoppin et al. (1975), and the agreement between the theoretical and experimental values appears to be good (Fig. 7b). The minor di!erences ((5%) may be due to the 2D simpli"cation of the present model, the particular stress}strain relationship which may di!er from that of the experimental specimen, and the absence of surface tension e!ects in the present model. The present model has the ability to simulate the re-distribution of sepal stresses by altering the non-linear stress-strain characteristics of parenchymal tissue. The results for a normal parenchyma indicated that signi"cant stress concentrations are developed near curved regions, where elevated tension values may be as high as 20 times that of the average stresses (Fig. 6a). These sites become most vulnerable in cases of emphysema, wherein changes in the content and distribution of elastin and collagen "bers have been observed (Mercer and Crapo, 1992). The impact of elastin breakdown on the mechanical behavior of the lung microstructures in emphysema is also observed in Fig. 8, which shows signi"cantly higher stresses in the emphysematic lung (e.g. 6 times more at < "60% TLC). Thus, it is reasonable to as* sume that during breathing, while the lung is subjected to cyclic loading/unloading maneuvers, additional elastin "ber breakdown occur at sites of a highly elevated compound stresses. This increased damage to septal walls further reduces the `elastic recoila properties of the parenchymal tissue, and may be followed by septal destruction which eventually leads to enlargement of alveolar sac walls (Saetta et al., 1985a,b; Cosio et al., 1986; Mercer and Crapo, 1992; Nagai et al., 1994). Similarly, Denny and Schroter (1995) suggested that tissue properties may contribute to the formation of alveolar shapes. Further damage to parenchymal tissue may arise when the capillary walls mechanically fail due to regionally elevated stresses, as shown by Fu et al. (1992) and West et al. (1974,1991), who observed breaks in the capillary endothelial layer and alveolar epithelial layer when in#ating anaesthetized rabbit lungs to a transpulmonary pressure of 20 cm H O. In an in vivo air-"lled lung at 50% TLC and higher, P is signi"cantly larger than in a saline-"lled lung due to the contribution of pleural pressure P . For example, at < "60% TLC the alveoli in an in vivo air-"lled lung * Fig. 8. Distribution of principal tension stresses in cross sections A}A and B}B (Fig. 6) in normal and emphysematic alveolar sacs for three di!erent lung volumes. will withstand P "10 cm H O, while alveoli in an ex cised saline-"lled lung in#ated to the same volume will only be subjected to P "5 cm H O (Mines, 1986). Con sequently, the predicted stresses within the normal alveolar walls in the living body are 4}5 times higher, and accordingly, the e!ect of increased structural stresses may be more pronounced in emphysematic tissue. The complexity of structures and material properties characterizing the lung parenchyma have so far prevented accurate modeling of stress distribution within the alveolar septa. The basic aim of this study was to develop a 2D mechanical model that resembles as nearly as possible a typical real 2D cross section of an alveolar sac. Nevertheless, the present 2D model cannot take into account the e!ect of out-of-plane tissue resistance to expansion, which may induce greater tension stresses in the inner septa that link between alveolar mouths and the outer sac septa. Moreover, scanning electron micrographs of the alveolar sac as used here rarely represent a truly planar cross section. The lung parenchyma was assumed to be non-linear isotropic in order to allow for a "rst analysis of the stress distribution within the alveolar septa even though it is a highly anisotropic material, as demonstrated experimentally (Hoppin et al., 1975; A. Gefen et al. / Journal of Biomechanics 32 (1999) 891}897 Vawter et al., 1978). Nevertheless, the major result of increased stress concentrations at locations of small curvatures are also expected in an anisotropic material due to tissue sti!ening. In view of these and other limitations of the present 2D approach, we consider this work to be a "rst step towards a more complex three-dimensional simulation of the mechanics of a lung parenchyma unit. Finally, our "ndings had demonstrated that the internal stress distribution in parenchymal microstructures can be solved using a numerical model by integrating two powerful techniques: scanning electron microscopy and "nite-element analysis. 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