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HIGHLIGHTED TOPIC
Physiological Imaging of the Lung
Departments of 1Radiology, 2Physics, and 3Cardiothoracic Surgery, Washington University in St. Louis, St. Louis, Missouri; and 4The UBC McDonald Research Laboratory, St. Paul's Hospital, Vancouver, Canada
Submitted 4 April 2006 ; accepted in final form 25 July 2006
| ABSTRACT |
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0.3 mm compared with 0.36 mm in healthy humans. The purpose of the present study is the application of this technique for quantification of emphysema progression in dogs with experimentally induced disease. The diffusivity measurements and resulting acinar airway geometrical characteristics were correlated with the local lung density and local lung-specific air volume calculated from quantitative computed tomography data obtained on the same dogs. The results establish an important association between the two modalities. The observed sensitivity of our method to emphysema progression suggests that this technique has potential for the diagnosis of emphysema and tracking of disease progression or improvement via a pharmaceutical intervention. hyperpolarized gases; magnetic resonance imaging; diffusion
Magnetic resonance (MR) imaging of lung air spaces with hyperpolarized gases can provide new insights into lung physiology. In particular, diffusion lung imaging with hyperpolarized 3He gas has demonstrated substantial differences between the 3He gas apparent diffusion coefficient (ADC) in healthy and emphysematous lungs, both in humans (4, 21, 22, 26) and animals (rats with elastase-induced emphysema) (2, 19). This points to a large potential for identifying emphysema by means of hyperpolarized gas ADC measurements. However, before the technique can become a useful tool for characterizing emphysema, it is important to understand the relationship between the measured ADC and the underlying lung microstructure. Recently, an MR imaging technique, i.e., in vivo lung morphometry (27), was introduced by our group. In this approach, lung geometry at the acinar level was described in terms of cylindrical airways covered with alveolar sleeves, a model previously introduced by Haefeli-Bleuer and Weibel (11), as depicted in Fig. 1. The in vivo lung morphometry technique (27) is based on MRI measurements of anisotropic-restricted diffusion (along and perpendicular to the acinar airway axis) of hyperpolarized 3He atoms in lung air spaces and allows evaluation of acinar airway geometry and the integrity of alveolar walls. The method provides in vivo tomographic information on lung microstructure and may be considered as a virtual morphometry of the acinar airways without physically violating the lung parenchyma for tissue samples. The enlargement and destruction of the acini associated with emphysema increases the apparent diffusivity of the 3He gas. This alteration in diffusivity, along with ventilation images obtained with 3He spin density MRI, may be used to assess the structure-function relationship of the lung; the quantitative values can be used to follow the natural history of emphysema progression and treatment outcome.
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| MATERIALS AND METHODS |
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Animal preparation. Emphysema was induced in only the right lungs of dogs, according to a previously developed protocol (3). In brief, porcine pancreatic elastase was instilled through one side of a specially designed, double-lumen tube that allows separate ventilation of each lung. The right lung was made to be atelectatic to facilitate a deep penetration of the elastase into the lung parenchyma. The right lung was first ventilated with 100% oxygen. Then the ventilation was suspended for 10 min. During the suspension, the alveolar oxygen in the right lung was absorbed by continued blood flow to the lung. As a result, the right lung became completely atelectatic. During the procedure, anesthesia was maintained with intravenous thiopental. The left lungs were left untreated, allowing them to be used as in situ controls for experiments in each animal.
A total of five mongrel dogs were included in the study. One of the dogs was imaged only at baseline (no emphysema induction). Two dogs underwent a three-step series of emphysema induction. In these two dogs, imaging was performed at baseline and 46 wk after each emphysema induction procedure (this time period between emphysema induction and imaging allowed the inflammatory reaction from emphysema induction to resolve). The remaining two dogs were imaged only after several treatments for emphysema induction (three for one dog and six for the other). This allowed us to obtain measurements for a broad range of lung conditions, from healthy to severe emphysema.
Hyperpolarized 3He gas preparation and delivery.
For each study, a 500-ml bolus of hyperpolarized 3He gas with 3550% polarization was prepared using a home-built apparatus (16). It was mixed in a flexible plastic bag with
300 ml of N2 to ensure sufficient gas for inspiration. The dogs were ventilated on air with a mechanical piston-cylinder ventilator through a cuffed endotracheal tube, anesthetized with isoflurane and propofol, and monitored with pulse oximetry via the tongue. At a lung volume of approximately functional residual capacity, the mechanical ventilator was halted, and
200 ml of air were removed from the lungs by opening valves to a partially evacuated 2-liter container; pressures during this maneuver were never below 5 cmH2O. The container was removed from the circuit, and the gas mixture was then delivered by manually squeezing the 3He/N2-containing bag (maximum distending pressure of 15 cmH2O). This procedure ensured that approximately the same lung volume (within 100 ml) was achieved during CT and MR imaging.
MR studies.
A home-built, 30-cm-diameter double-tuned radio-frequency Helmholtz coil operating at 63.63 MHz (1H) and 48.47 MHz (3He) was used with a 1.5-T whole body Magnetom Vision Scanner (Siemens, Erlanger, Germany). Twenty-five transverse 5-mm slices of proton scout images were obtained to localize the area of the lung. 3He diffusion lung scans with nine b values were obtained within an
30-s breath hold from five transverse slices [the corresponding b values are 0.001, 0.95, 1.9, 2.85, 3.8, 4.75, 5.7, 6.65, and 7.6 s/cm2, and the shape of the gradient waveform was identical to one used previously (27)]. The diffusion gradient was applied perpendicular to the long axis of the body. Images were 20 mm thick, with an in-plane resolution of 5 x 5 mm (160 x 320 mm field of view with 32 x 64 matrix). The gradient echo time in all sequences was 7.2 ms. Each of the 32 lines in k-space uses a radio-frequency excitation pulse with a flip angle of
3.5°, allowing for repeated acquisition from the same hyperpolarized spins. This protocol provided signal-to-noise ratio (SNR) of
100 in the first image, corresponding to the smallest b value, which is sufficient for model parameter estimation.
MR image analysis.
Data were analyzed with locally designed software, based on a previously proposed theoretical model of gas diffusion in the lung (27). In this model, lung geometry at the acinar level was described in terms of cylindrical airways covered by alveolar sleeves (11), as depicted in Fig. 1. Diffusion in each acinar airway was considered anisotropic and characterized by a longitudinal diffusion coefficient along the cylindrical axis, DL, and a diffusion coefficient transverse to the axis, DT. Given that a large number of acinar airways with different directions reside in each imaging voxel, the total MR signals can be expressed as a sum of the signals from airways with an isotropic distribution of directions, leading to the following analytical expression (27):
![]() | (1) |
(x) is the error function, and the anisotropy of the diffusion coefficient DAN is
![]() | (2) |
![]() | (3) |
For 3He diffusion, MR image analysis, nine b-value images were utilized. The theoretical model, Eq. 1, was fit to the data on a pixel-by-pixel basis using Bayesian probability theory, and maps of DT, DL, and DM were generated. To reduce the influence of noise on our results, the minimum threshold value was set to three times the value of noise (typical SNR for the image with minimum b value was 3540). Thus only the pixels that had signal values in the largest b-value image greater than three times the value of noise were considered for all b-value images. The mean external radii (R) of acinar airways (see Fig. 1) in millimeters were calculated from DT using Equation 8 in Ref. 27 (see also Figs. 1 and 3 therein). This equation is rather complicated, and we do not reproduce it here. It was derived theoretically, and for a given gradient waveform establishes a unique relationship between transverse ADC DT (measured with our technique) and airway R.
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CT scan analysis.
Analysis of CT images was carried out using Analyze 3.1 image analysis software program (Biomedical Imaging Resource, Mayo Foundation, Rochester, MN) and a home software for image registration. CT images were first registered against proton MR images that were acquired during the same MR imaging session and under the same breathing protocol as 3He MR images. Then the center position of each of the 20-mm 3He MR images was determined, and five 3-mm (three 5-mm in one case) CT images centered on this position were selected. They were combined together to create one 15-mm CT image for quantitative analysis. Because elastase-induced emphysema is a rather homogeneous disease, the choice of 15-mm CT slice provides reasonably accurate representation of X-ray attenuation in the selected lung region. On the other hand, the choice of 15-mm CT section vs. 20-mm 3He MR section minimizes errors due to imperfections in the registration procedure and provides better correlation of the anatomic levels on the two modalities. The lung region was segmented from the chest wall, mediastinal structures, and large blood vessels based on the frequency distribution curves of CT attenuation values. The pixels within the attenuation range of 1,000 to 500 Hounsfield units (HU) were considered lung parenchyma, as reported for segmentation of human lungs (57). The boundary of each right and left lung was manually outlined. Large airways (e.g., trachea and major bronchi) were excluded from the outlined boundaries. For untreated healthy right and left lungs and control healthy left lungs in treated dogs, the selected region of interest was simply the entire lung in the corresponding image. For elastase-treated right lungs, only focal areas with the SNR > 100 on the 3He images were selected. These were matched with the corresponding area in the CT image via developed image registration software. The CT attenuation values within each delineated lung parenchyma were converted to the specific volume of gas per gram of tissue, V, using Equation 1 from Refs. 57, 13:
![]() | (4) |
![]() | (5) |
tissue, where density of tissue was assumed to be
tissue = 1.065 g/ml (13). | RESULTS |
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Typical diffusion-attenuated MR images for both healthy and emphysematous lungs along with their corresponding CT images are displayed in Fig. 3. In the top row, the small diffusivity of the lungs in untreated dogs is demonstrated by the weak attenuation of signal intensity with increasing b value. In the bottom row with data from a dog with three lavage treatments, the larger diffusivity of the emphysematous lung and the smaller diffusivity of the untreated control lung are evident.
Typical dependence of diffusion-weighted MR signal on b value is demonstrated for healthy untreated, healthy control lungs, and lungs with emphysema of varying severity in Fig. 4. This figure clearly shows that the attenuation of hyperpolarized helium gas MR signal is substantially dependent on the severity of emphysema. There is very rapid signal decay in the case of diffusion of 3He molecules in free air, as can be obtained in the trachea. In contrast, the rate of signal decay in healthy control lungs is far slower. In between the two extremes are signal attenuation curves from normal healthy and emphysematous lungs from the same dog after each emphysema treatment, tentatively identified as being mild, moderate, or severely emphysematous.
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![]() | (6) |
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0, distances between airway walls go to zero, and the diffusion coefficients should tend to zero; and 2) for very inflated lung tissue, as V grows toward infinity, the restrictions for gas diffusion disappear and the diffusion coefficients should tend to the free diffusion coefficient D0. The solid lines in Fig. 7 represent fitting curves following Eq. 6 and demonstrate good agreement with the experimental data. We note that there are many other mathematical expressions that satisfy the two physical requirements as V
0 and V
; however, the scatter of the data in Fig. 7 is large enough that other models are not considered here.
The relationship between airway R and gas-specific volume V can, in principle, be obtained using Eq. 6 for DT and the relationship between DT and airway R (Equation 8 in Ref. 27). However, here we will use a simplified phenomenological relationship based on scaling,
![]() | (7) |
tissue = 1.065 g/ml, is introduced to Eq. 7 for convenience. Figure 8 also shows our results in a more conventional way, plotted directly as functions of HU. Fitting curves represent the same Eqs. 6 and 7, where specific V is defined as a function of HU according to Eq. 4, and the values of VT, VL, VM, and a are the same as in Fig. 7.
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| DISCUSSION |
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Our study demonstrates that DT, DL, DM, R, and specific V in healthy canine lungs are smaller than those in emphysema lungs. This result reflects that the alveoli of intact lung parenchyma are smaller, resulting in more restricted gas diffusion, in agreement with previous MR studies in humans (21, 22, 27). With progression of emphysema, the alveolar air space is enlarged, leading to the reduction in CT attenuation along with progressive increase in DT, DL, DM, R, and specific V. The overall correlation between CT attenuation and diffusivity values is good, but a closer look at the data shows that the healthy lungs show large intersubject variability in CT values, whereas the diffusivity values do not. For example, data in Fig. 8 demonstrate that DT for healthy subjects changes approximately between 0.02 and 0.04 cm2/s, which corresponds to
12% of the DT dynamic range in all of the dogs. The same figure demonstrates that HU for healthy dogs changes approximately between 800 and 700, which corresponds to 40% of the whole dynamic range for all dogs. In addition (as previously pointed out), a twofold increase in the value of DT was observed after the first lavage treatment in one of the dogs without any significant change in HU value. These observations point to the fact that X-ray attenuation may be affected by various factors that are not directly associated with changes in the disease progression.
Comparing previously obtained results in healthy humans (DT in the range of 0.09 to 0.13 cm2/s and DM in the range of 0.16 to 0.23 cm2/s) (27) and our current results for dogs (DT in the range of 0.03 to 0.06 cm2/s and DM in the range of 0.13 to 0.2 cm2/s), we suggest that DT is much more sensitive to lung microstructural differences than the commonly used DM. Indeed, the data show the average value of DT to be 240% higher in healthy humans than in healthy dogs, whereas DM is only slightly increased (
15%) in healthy humans compared with healthy dogs. This result becomes even more convincing if we note that exactly the same parameters for diffusion times were used in the pulse sequences employed herein and in the human studies (27).
We specifically emphasize an important feature of our approach: the ability to evaluate a geometrical parameter of lung microstructure, the mean R of acinar airways (Fig. 1). Compared with ADC measurements that strongly depend on pulse sequence parameters (mainly diffusion time), the airway R is a "hard number" that directly reflects the size of acinar airways. For healthy dogs, our analysis yields a mean acinar airway R of
0.3 mm compared with 0.36 mm in healthy humans. While human data are in good agreement with previous direct measurements (11), to the best of our knowledge, there are no data for canine acinar airway geometry available for comparison.
We note that the theoretical model (27) that we have used for analysis is based on the description of lungs in terms of airways covered with alveolar sleeves (see Fig. 1) as proposed by Haefeli-Bleuer and Weibel (11) for healthy lungs. We can expect that this model can also be applied for initial stages of emphysema when only minor deformation and destruction of acinar airways and alveoli take place. With the further progression of emphysema, acinar airways become enlarged and alveolar walls undergo destruction; hence, the description of acinar airways in terms of cylinders covered with alveolar sleeves becomes less accurate (8, 27). Hence, in these cases, the parameters DT, DL, and R, as determined by our method, can only be considered as apparent. As we demonstrated herein, the values of these parameters increase with emphysema progression; consequently, they still can characterize the level of emphysema and serve as biomarkers of emphysema evolution.
The phenomenological Eqs. 6 and 7 arising from the comparison of diffusion measurements of lung microstructure and CT measurements of lung density and inflation V (ml/g) (Figs. 7 and 8) can be used to estimate the microstructure of the acinar airways and the regional and overall specific V of the lung at which the scan was obtained. With progression of emphysema, there is an observed increase in DM of 3He gas, which is associated with an increase in specific lung V and acinar airway R. On a slice-by-slice comparison, the healthy lungs show reduced scatter, i.e., less variability in diffusivity and regional lung V values. As emphysema progresses, this variability increases, amplifying the scatter. This finding is expected, as the general appearance of emphysema under magnification is extremely variable. It includes holes in the alveolar walls, coalescence of alveoli that form larger cavities. There are also groups of "intact" alveoli larger in size. This distention may be due to damage to elastin in the alveolar walls, making the walls weak before they break, or it is simply air trapping in those alveoli causing their distention (1).
The strong correlation between quantitative CT values and numbers obtained from measurement of multi-b-value diffusion MRI is important. CT is currently considered to be the best imaging option for diagnosis, quantification, and follow-up of emphysema. However, the presence of ionizing radiation limits its utility in following the progression of disease. Our in vivo lung morphometry technique, based on diffusion imaging, using hyperpolarized 3He gas (27), is, by contrast, free of ionizing radiation, and our results show that its value is well correlated with CT. In fact, it promises even improved results for diagnosis of emphysema; in addition to providing data concerning destruction of lung parenchyma, another advantage includes the identification of regions of poor lung ventilatory function. Therefore, not only can this technique be used for early diagnosis of emphysema, it also has potential for following disease progression or improvement via pharmaceutical treatments.
In conclusion, we suggest that the in vivo lung morphometry technique based on diffusion MRI with hyperpolarized 3He gas provides important regional information on lung microstructure and could potentially add to the evaluation of emphysema progression. It is safer and could be more sensitive for the diagnosis of emphysema than CT, especially at early stages of the disease.
| GRANTS |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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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.
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