Validation and comparison of diffusion MR methods measuring transcytolemmal water exchange rate
Xin Tian1,2, Hua Li1, Xiaoyu Jiang1, Jingping Xie1, John C Gore1, and Junzhong Xu1

1Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 2Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China, People's Republic of

Synopsis

Two diffusion-based method, the CG (constant gradient) and FEXI (filtered exchange imaging) methods, have been developed to provide a flexible and safer means to measure transcytolemmal water exchange rate $$$k_{in}$$$ non-invasively in vivo. However, neither methods have been fully validated up to date. In the present work, computer simulations and in vitro experiments with well-controlled cultured cells with different sizes and permeabilities were performed to evaluate the accuracy of the CG and FEXI methods. The results suggest that $$$k_{in}$$$ can be accurately estimated when $$$k_{in}$$$ < 10 Hz. Although the FEXI method provides less accurate results, the linear dependence of AXR on $$$k_{in}$$$ suggesting it is still a reliable method.

PURPOSE

The measurement of transcytolemmal water exchange rate $$$k_{in}$$$ may provide insights for more specific diagnosis of pathophysiological status of biological tissues. Two diffusion-based methods, the CG1 (constant gradient) and FEXI2 (filtered exchange imaging) methods, have been developed to provide a flexible and safer means to measure $$$k_{in}$$$ non-invasively in vivo. However, neither methods have been fully validated up to date. In the present work, computer simulations and in vitro experiments with well-controlled cultured cells with different sizes and permeabilities were performed to evaluate the accuracy of the CG and FEXI methods.

METHODS

Theory: $$$k_{in}$$$ can be directly fitted from the CG method by $$$k_{in}=-\frac{\partial S(\tilde{q}^2,t_D)}{\partial t_D}$$$ where $$$\tilde{q}$$$ is constant, $$$t_{D}$$$ is diffusion time, and $$$b$$$ value is sufficiently large. The FEXI method uses a diffusion filter block before ADC detection, and then provides apparent exchange rate AXR, which is $$$k_{in}$$$ modulated with extracellular water fraction $$$f_{ex}$$$, i.e. $$$ \text{AXR}=k_{in}\times f_{ex}$$$.

In vitro study: Human myelogenous leukemia K562 cells were cultured, fixed and then divided into three groups (six samples in each) treated with vehicle (control), low (0.025% w/v) and high (0.05%) concentrations of saponin. Saponin is a natural detergent that selectively removes membrane cholesterols and increases cell membrane permeability without altering other cell properties3. All MR experiments were performed on an Agilent/Varian 4.7T MRI system. The CG experiments employed 30 gradients separation $$$\Delta$$$ up to 832 ms. The FEXI experiments used diffusion weighting $$$b_{f}$$$ = 3000 s/mm2 in the filter block and $$$b$$$ = 0 and 1500 s/mm2 in the detection block, and 19 mixing times ranging from 7 to 3000 ms.

Computer Simulation: Water molecules were allowed to diffuse in intra- and extracellular spaces with a cell membrane permeability separating the compartments. $$$D_{in}$$$ = 1 μm2/ms, $$$D_{ex}$$$ = 2 μm2/ms, and three different cell diameters 5, 10, and 20 μm were simulated while the intracellular volume fraction was fixed as 61.8%. 18 ground truth $$$k_{in}$$$ values (0.02 – 30 Hz) were simulated. All other parameters were the same as those used in the in vitro experiments.

RESULTS

Figure 1 shows the simulated CG method provides accurate estimations of $$$k_{in}$$$ especially when it is smaller than 15 Hz, which is in the typical physiological range of many biological tissues. Figure 2 shows the FEXI method constantly overestimates $$$k_{in}$$$ even with corrections of extracellular water fraction. However, AXR and fitted $$$k_{in}$$$ showed approximately linear dependence on the ground truth $$$k_{in}$$$. The cell diameter had minor influences on both methods when $$$k_{in}$$$ < 10 Hz, in which the CG and FEXI methods agree well with each other. Note that this $$$k_{in}$$$ range corresponds to intracellular water lifetime $$$\tau_{in}$$$ > 100 ms, which is typical for biological tissues4. Figure 3 and 4 show the experimental results, and the correlation between of the two methods are provided in Figure 5. Both methods have the sensitivity to probe the variations of cell membrane permeability. The linear dependence of AXR from FEXI and $$$k_{in}$$$ from CG methods is consistent with simulations, suggesting AXR is also a reliable indicator of $$$k_{in}$$$.

DISCUSSION AND CONCLUSION

The CG method has been long used to characterize transcytolemmal water exchange rate $$$k_{in}$$$. However, due to demands of high b values, its application in practice is limited. Although the FEXI method provides less accurate estimations of $$$k_{in}$$$, the approximately linear dependence of AXR on $$$k_{in}$$$ suggests AXR is a promising means to measure $$$k_{in}$$$. Considering the feasibility of spatially mapping $$$k_{in}$$$ in humans in vivo, the FEXI method may have a greater clinical potential compared with the non-imaging CG method, although its accuracy is compromised.

Acknowledgements

NIH K25CA168936; R01CA109106; R01CA173593.

References

1. Meier C, Dreher W, Leibfritz D. Diffusion in compartmental systems. I. A comparison of an analytical model with simulations. Magn Reson Med. 2003;50(3):500–9. doi:10.1002/mrm.10557.

2. Lasic S, Nilsson M, Lätt J, Ståhlberg F, Topgaard D. Apparent exchange rate mapping with diffusion MRI. Magn Reson Med. 2011;66(2):356–365. doi:10.1002/mrm.22782.

3. Li H, Jiang X, Xie J, McIntyre JO, Gore JC, Xu J. Time-dependent influence of cell membrane permeability on MR diffusion measurements. Magn Reson Med. 2015. doi:10.1002/mrm.25724.

4. Quirk JD, Bretthorst GL, Duong TQ, et al. Equilibrium water exchange between the intra- and extracellular spaces of mammalian brain. Magn Reson Med. 2003;50(3):493–9. doi:10.1002/mrm.10565.

Figures

Computer simulated signals from CG-experiment arising from three different cell diameters (A) and the comparison of corresponding fitted vs ground truth $$$k_{in}$$$ (B).

Computer simulated ADC’ from FEXI experiments of three different cell diameters (A) and the comparison of AXR, fitted $$$k_{in}$$$ vs ground truth $$$k_{in}$$$ (B).

The measured diffusion signals (A) and fitted $$$k_{in}$$$ values (B) from CG experiments vs three different saponin concentrations. The error bars in both sub-figures represent standard deviations across all cell samples.

The measured ADC’ (A) and AXR values (B) from FEXI experiments vs three different saponin concentrations. The error bars in both sub-figures represent standard deviations across all cell samples.

The correlation between AXR measured from FEXI vs $$$k_{in}$$$ from CG experiments.



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