2019
DOI: 10.1007/s10334-019-00817-4
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Cell density quantification with TurboSPI: R2* mapping with compensation for off-resonance fat modulation

Abstract: Tracking the migration of superparamagnetic iron oxide (SPIO) labeled immune cells in vivo is valuable for understanding the immunogenic response to cancer and therapies. While many sequences are sensitive to SPIO contrast, they lack specificity and provide only semi-quantitative information. Quantitative cell tracking using compressed sensing TurboSPI-based R2* mapping is a promising development to improve accuracy in longitudinal studies on immune recruitment. The phaseencoded TurboSPI sequence provides high… Show more

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Cited by 3 publications
(2 citation statements)
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“…The smallest immune cells (5-7µm), CD8 + T cells, which also have lower phagocytic activity, had much lower iron loading when labelled with MEs (0.22-0.3pg/cell, both MLRs) compared to SPIO (3pg). These results correspond well with other literature indicating average cell loading of 3-5pg iron/cell when using SPIO 9,30 . This level of iron loading in the MEs is typically on the low end of detectability in MRI cell tracking (ideally > 0.5pg/cell) indicating that MEs may not be an optimal choice for this cell type, or that if they are used, more invasive methods of labelling may be necessary, such as transporation and transfection agents.…”
Section: Discussionsupporting
confidence: 92%
“…The smallest immune cells (5-7µm), CD8 + T cells, which also have lower phagocytic activity, had much lower iron loading when labelled with MEs (0.22-0.3pg/cell, both MLRs) compared to SPIO (3pg). These results correspond well with other literature indicating average cell loading of 3-5pg iron/cell when using SPIO 9,30 . This level of iron loading in the MEs is typically on the low end of detectability in MRI cell tracking (ideally > 0.5pg/cell) indicating that MEs may not be an optimal choice for this cell type, or that if they are used, more invasive methods of labelling may be necessary, such as transporation and transfection agents.…”
Section: Discussionsupporting
confidence: 92%
“…Cell densities in tumors and lymph nodes were obtained by extracting frequency histograms of the R 2 * signal from the ROIs and imported into a spreadsheet for a quick conversion from R 2 * values per voxel to cell density per mm 3 using the calibration curve for either CTLs or MLCs. 34 All voxels in the ROI were summed resulting in total cell density for each tumor and lymph node ROI. Data were then imported into GraphPad Prism 8 (San Diego, CA, US) for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%