Magnetic Particle Imaging is a sensitive in vivo imaging modality for the quantification of dendritic cell migration
Gevaert, J. J.; Fink, C.; Dikeakos, J. D.; Dekaban, G. A.; Foster, P. J.
Show abstract
Immunotherapies, such as dendritic cell- (DC-)based therapies, are useful for treating cancer as an alternative to or in combination with traditional therapies. Cells must migrate to lymphoid organs to be effective and the magnitude of the ensuing T cell response is proportional to the number of lymph node-migrated DC. With less than 10% of cells expected to reach their destination, there is a need for an imaging modality capable of sensitively and quantitatively detecting cells. MRI has been used to track DC using iron and 19F methods, with limitations. Quantification of iron-induced signal loss is indirect and challenging; 19F signal is directly quantifiable but lacks sensitivity. Magnetic Particle Imaging (MPI) directly detects superparamagnetic iron oxide nanoparticles (SPIO) and enables quantitation of low numbers of SPIO-labeled cells. Here we describe the first study using MPI to track and quantify the migration of DC, injected into the footpads of C57BL/6 mice, to the popliteal lymph nodes (pLNs). As DC migrate from the site of injection to the lymph nodes, we measured a decrease in signal in the footpads and an increase in signal at the pLNs. The presence of SPIO-labeled DC in nodes was validated by ex vivo MPI and histology. By measuring the iron mass per cell in samples of labeled cells, we were able to provide an estimate of cell number for each source of signal and we report a sensitivity of approximately 4000 cells in vivo and 2000 cells ex vivo. For some mice, MPI was compared to cellular MRI. We also bring attention to the issue of resolving unequal signals within close proximity, a challenge for many pre-clinical studies using a highly concentrated tracer bolus that over shadows nearby lower signals. This study demonstrates the clear advantage of MPI to detect and quantify cells in vivo, bridging the gap left by cellular MRI, and all other in vivo imaging modalities, and opening the door for quantitative imaging of cellular immunotherapies.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The sensitivity of magnetic particle imaging and fluorine-19 magnetic resonance imaging for cell tracking 98%
- Transport Pathways and Kinetics of Cerebrospinal Fluid Tracers in Mouse Brain Observed by Dynamic Contrast-Enhanced MRI 94%
- Imaging the Transmembrane and Transendothelial Sodium Gradients in Gliomas 91%
Similar papers in this journal
- Evaluation of a deuterated triarylmethyl spin probe for in vivo R2*-based EPR oximetric imaging with enhanced dynamic range 93%
- Bidirectional crusher gradient method for estimating the labeling efficiency of pseudo-continuous arterial spin labeling MRI in mice 93%
- Trehalose as an alternative to glycerol as a glassing agent for in vivo DNP MRI 92%
Similar papers in this journal
- Modeling Normal Mouse Uterine Contraction and Placental Perfusion with Non- invasive Longitudinal Dynamic Contrast Enhancement MRI 92%
- Quantifying myelin content in brain tissue using color spatial light interference microscopy (cSLIM) 92%
- Feasibility of real-time in vivo 89Zr-DFO-labeled CAR T-cell trafficking using PET imaging 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.