Quantification of Blood Volume Fraction Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Skeletal Swine Muscle
Stefan Hindel1, Anika Söhner1, Marc Maaß2, and Lutz Lüdemann1

1University Hospital Essen, Essen, Germany, 2Wesel Protestant Hospital, Wesel, Germany

Synopsis

We estimated the blood volume fraction in low perfused tissue using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The blood volume fraction v(b) was measured in hind leg muscle of pigs weighing approx. 60 kg. MRI was performed using a 3D gradient echo sequence with k-space-sharing and either a gadolinium-based (gadoterate meglumine) or an intravascular contrast agent (gadofosveset trisodium). Comparison of the different DCE-MRI methods with histology revealed good agreement between histological findings and the results obtained with the 2-compartment exchange model, bolus deconvolution and equilibrium MRI.

PURPOSE

In our study, we determined the fractional blood volume in skeletal muscle tissue with histological and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) methods.

METHODS

We compare histological results with results of various DCE-MRI methods. We determined the percentage tissue-blood volume fraction (v(b)) in the medial thigh tissue of twelve female pigs using of a 3D gradient echo sequence with k-space-sharing. Two contrast agents were used: a rapidly extravasating, low-molecular-weight contrast agent (LMCA, gadoterate meglumine) and an albumin-binding, slowly extravasating blood pool contrast agent (BPCA, gadofosveset trisodium)1. For analysis of the LMCA data, the extended Tofts model (ETM)2 and the 2-compartmental exchange Model (2CXM) were used3. For analysis of the BPCA data, we first used a bolus convolution method4 (thereby also taking into account the bolus dispersion5). Secondly, we applied an equilibrium MRI method (Eq-MRI) by calculating the ratio of the amount of blood in the tissue curve at steady state (averaged over 20 sec starting 40 sec after bolus arrival) to the height of the same area of the arterial input function (AIF). The AIF was measured in full blood voxels in the abdominal aorta.

RESULTS

The model fits with the best quality were obtained at an acquisition time of 10 min. The results are summarized in table 1 (Fig. 1). Histological measurements (exemplary section shown in Fig. 2) yielded median values (25%-75% quartile) of v(b)=1.0 (0.8-1.2)% compared with 2.2 (1.5-2.8)% for BPCA bolus deconvolution, 2.5 (1.9-3.6)% for BPCA Eq-MRI, 2.0 (1.3-3.1)% for LMCA-2CXM, and 0.3 (0.2-0.3)% LMCA-ETM. Figure 3 lists the correlations between the different MR techniques. The closest match was found between the two BPCA methods (r = 0.93). Moreover, relatively high correlations were found between LMCA-2CXM and BPCA bolus deconvolution (BPCA Eq-MRI) with r = 0.87 (0.84). Low correlation was found for v(b) results between the ETM and the 2CXM (r = 0.47). The correlation between the results of ETM and the BPCA methods was not significant. Fig. 4 presents two examples of curve fits for the ETM and the 2CXM including the fit results for the individual compartments. The 2CXM resulted in a far better curve fit and was accompanied by distinct bolus broadening of the vascular compartment curve.

DISCUSSION

The difference of approx. 1% between histological determination of v(b) and that of the MRI methods might be attributable to a collapse of blood vessels in the tissue biopsies. For the MRI methods, variations in v(b) estimation might arise from the uncertainty of systemic and microvascular hematocrit. Based on published data6 , we assumed a systemic hematocrit of 0.4 and a microvascular of 0.2 for our animals. In contrast to the LMCA models, the bolus method corrects for bolus dispersion, which should yield a higher specific blood volume. The ETM underestimates v(b) values, resulting in approximately only one third (compared to histologic estimates) to one tenth (Eq-MRI) of the blood volumes estimated with the other methods. The reason for the high accuracy of blood volume determination with the 2CXM might be that this model accounts for widening of the bolus in the blood compartment, which leads to an increase in the area under the curve for the vascular compartment.

CONCLUSION

Even in low-perfused and low-vascularized muscle tissue, there is fairly good agreement between the v(b) estimates obtained with the different MR techniques. The only notable exception is the ETM, which markedly underestimates blood volume. Based on its very good fit quality, the 2CXM is a promising alternative to the Tofts models also in routine clinical practice.

Acknowledgements

The authors thank the Deutsche Forschungsgemeinschaft (DFG) for supporting this research.

References

1 Sauerbrey A, Hindel S, Maaß M, et al. Establishment of a swine model for validation of perfusion measurement by dynamic contrast-enhanced magnetic resonance imaging. BioMed research international. 2014 Feb;2014:390506.

2 Tofts PS, Brix G, Buckley DL, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. Journal of magnetic resonance imaging : JMRI. 1999 Sep;10(3):223-232.

3 Sourbron SP, Buckley DL. Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability. Physics in medicine and biology. 2012 Jan;57(2):R1-33.

4 Ostergaard L, Weisskoff R M, Chesler D A, et al. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis. Magnetic resonance in medicine. 1999 Nov; 36(5):715-725.

5 Calamante F, Willats L, Gadian D G, et al. Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke. Magnetic resonance in medicine. 2006 May; 55(5):1180-1185.

6 Kixmöller M, Labordiagnostische Referenzbereiche bei unterschiedlichen Schweinerassen sowie histopathologische und immunhistochemische Untersuchung von Gehirnen älterer Sauen und Eber auf transmissible spongiforme Enzephalopathie im Rahmen der TSE-Studie. Ludwig-Maximilians-Universität München; 2004.

Figures

Figure 1. Median and mean values with first and third quartiles, interquartile range (IQR), and standard deviation of the relative blood volume fraction in the skeletal muscle obtained with the different methods investigated here.

Figure 2. Histological preparation in the medial thigh muscle with isolectin staining of the vessels. The brown staining of the endothelium enabled the detemination oft the vascular area. The percentage of histologically detected vascular area of the total muscle area was compared to the blood volumes determined by the MRI measurements.

Figure 3. Pearson correlation coefficients for the v(b) estimates obtained with the various MRI methods in thigh muscle of 12 pigs.

Figure 4. Results of model fits with the ETM (a, c) and the 2CXM (b, d) for lower (a, b) and higher vascularization (c, d). Because it accounts for bolus widening in the vascular space, the 2CXM allows much more accurate determination of blood volume than the ETM.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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