Jui-Heng Lin1, Hao-Chun Peng1, Shao-Chieh Lin2, Yi-Jui Liu2, Ruey-Hwang Chou3, Ke-Sin Yan3, Tan-Wei Liao3, Chia-Wei Lin4, Chao-Chun Lin4, Wei-Ching Lin 4, and Wu-Chung Shen4
1Master's Program of Biomedical Informatics and Biomedical Engineering, Feng Chia University, Taichung, Taiwan, 2Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, 3Center for Molecular Medicine, China Medical University Hospital, Taichung, Taiwan, 4Department of Radiology, China Medical University Hospital, Taichung, Taiwan
Synopsis
In extracellular and intracellular space, the
Brownian motion of water is restricted by organelles, cellmembranes, and
extracellular fibers. DWI is sensitivity to microscopic motion, which is due to
Brownian motion of water molecules. In this study, 3D cell culture with
hydrogels ECM was used to investigate whether DWI may provide information on
these microenvironmental parameters and the microenvironment-associated
metastatic propensity of tumors. Our results demonstrated DW-MRI may provide
the potential biomarkers on the change of microenvironment in the application
of 3D cell culture experiment.
Introduction
Diffusion-weighted
imaging (DWI) is sensitivity to microscopic motion, which is due to Brownian
motion of water molecules and blood microcirculation1.In
extracellular and intracellular space, the Brownian motion of water is
restricted by organelles, cellmembranes, and extracellular fibers. Therefore, DWI
can provide information on the microstructure and composition of tissues. DWI
has been widely applied to the field of tumor diagnosis in clinic2,3.
Malignant tumors usually have a higher cellularity and generally present with
restricted water diffusion, the ADC values is lower when compared to benign
lesions4. The cell culture of provides a powerful platform to monitoring
physiology and pathophysiology of cell and tissue in vitro. Recently, 3D cell
culture with synthetic extracellular matrix (ECM) has been more widely used
instead of the 2D culture platform which been demonstrated that cells behave
more natively when cultured in three-dimensional environments5.In this
study, 3D cell culture with hydrogels ECM was used to investigate whether DWI
may provide information on these microenvironmental parameters and the
microenvironment-associated metastatic propensity of tumors. Materials and Methods
MR scan: All images were performed
by a 3 Tesla MR scanner (GE Signa HDx, GE Healthcare, Milwaukee,Wis) using an 8 channels head array coil. DWI images were obtained with motion-probing
diffusion gradients (b factors, 0, 500, and 1000 sec/mm2) applied in
each of three orthogonal directions. EP-DWI acquisitions (TR/TE/NEX=6000/73.3/4)
were performed with 2 acceleration. We used the breast cancer cell line BT474
in our experiments, which cultured in DMEM/F12 (10% fetal bovine serum, 1% P/S,
15mM HEPES Buffer, 2.5mM L-Glutomine, 1.2g/L Sodium Bicarbonate). Cells and culture
medium were mixed with 0.3 % agar concentration. One control group (zero cell)
and three different cell concentrations (2x105 , 1x106
and 2x106 cells/ml) were filled into 8 wells (Figure 1). To avoid
air bubbles influence during MRI scan, we used 2.4% agar to fill all holes in
24-well plate. Data analysis: All MR
data were digitally transferred from the MR unit console to a personal computer
and processed with software developed in house by using Matlab (MathWorks,
Natick, MA). ADC maps were generated by
using a pixel-by-pixel computation according to the following logarithmic
equation: ADC = ln(SI0/SIx)/(bx - b0),
where SI0 was signal intensities of the DWI obtained with b values
of 0 sec/mm2 (b0) and SIx was b = 500 (b000),
or 1000 sec/mm2 (b1000), respectively. Mean ADCs of all
pixels within ROI were calculated for comparison among different cell density.Result
A 3D
cell culture with control, 2x105, 1x106, and 2x106
cells/ml in 24-well dish was shown on Figure 1. Figure 2 illustrated the DWI of
3D cell culture and the selected ROI on one well. The microscopic photos in the
wells of 2x105, 1x106, and 2x106 cells/ml were
showed on Figure 3. ADC of different cell density measured mean and SD by b=500
and b=1000 were illustrated on Figure 4. The ADCs measured by b=1000 were 2.264
± 0.065 (10-3 mm2/s), 2.250 ± 0.078 (10-3 mm2/s),
2.182 ± 0.069 (10-3 mm2/s), and 2.103 ± 0.078 (10-3
mm2/s), for control, 2x105, 1x106, and 2x106
cells/ml, respectively. The ADCs measured by b=500 were 2.132 ± 0.065 (10-3
mm2/s), 2.091 ± 0.078 (10-3 mm2/s), 2.013 ± 0.086
(10-3 mm2/s), 1.907 ± 0.092 (10-3 mm2/s),
for control, 2x105, 1x106, and 2x106 cells/ml,
respectively.Discussion
In this study, 3D cell
cultures with different cell density were created to evaluate the capability of
DWI in the application of 3D cell culture experiment. Due to the thick layer,
it is difficult to monitor the cell growth layer by layer using microscopy in
the 3D cell culture experiment. Our results showed that ADC was a negative
correlation with cell concentration and the differences between b=500 and
b=1000 were increased with high cell density. The reason might be the water
diffusion is reduced because of smaller extracellular space.Conclusion
DW-MRI
may provide the potential biomarkers on the change of microenvironment in the
application of 3D cell culture experiment.Acknowledgements
The study was supported partly from the Ministry of Science and Technology, R. O. C. under the Grant No. MOST 105-2221-E-035 -049 -MY2.References
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