A perspective on a rapid and radiation-free tracer imaging modality, magnetic particle imaging, with promise for clinical translation

Chandrasekharan, Prashant; Tay, Zhi Wei; Yu, Elaine; Orendorff, Ryan; Hensley, Daniel; Huynh, Quincy; Fung, K. L. Barry; VanHook, Caylin Colson; Goodwill, Patrick; Zheng, Bo; Conolly, Steven M.

doi:10.1259/bjr.20180326

Cited by 47 publications

(50 citation statements)

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“…Additionally, better cell detection sensitivity can be obtained through use of tracers with higher signal per iron mass. For example, the tracer LS-017, which has been optimized for MPI, is reported to have 6 times higher signal intensity than ferucarbotran 41 , with further improvements in MPI tracer signal being possible in this relatively new field.…”

Section: Linearity Between Mpi Signal and Number Of Ferucarbotran-labmentioning

confidence: 99%

Tracking Adoptive T Cell Therapy Using Magnetic Particle Imaging

Rivera‐Rodriguez

Hoang-Minh

Chiu‐Lam

et al. 2020

Preprint

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Adoptive cellular therapy (ACT) is a potent strategy to boost the immune response against cancer. ACT is an effective treatment for blood cancers, such as leukemias and lymphomas, but faces challenges treating solid tumors and cancers in locations like the brain. A critical step for success of ACT immunotherapy is achieving efficient trafficking of T cells to solid tumors, and the non-invasive and quantitative tracking of adoptively transferred T cell biodistribution would accelerate its development.Here, we demonstrate the use of Magnetic Particle Imaging (MPI) to non-invasively track ACT T cells in vivo. Labeling T cells with the superparamagnetic iron oxide nanoparticle tracer ferucarbotran did not affect T cell viability, phenotype, or cytotoxic function in vitro. Following ACT, ferucarbotran-labeled T cells were detected and quantified using MPI ex vivo and in vivo, in a mouse model of invasive brain cancer. Proof-of-principle in vivo MPI demonstrated its capacity to detect labeled T cells in lungs and liver after intravenous administration and to monitor T cell localization in the brain after intraventricular administration. Ex vivo imaging using MPI and optical imaging suggests accumulation of systemically administered ferucarbotran-labeled T cells in the brain, where MPI signal from ferucarbotran tracers and fluorescently tagged T cells were observed. Ex vivo imaging also suggest differential accumulation of nanoparticles and viable T cells in other organs like the spleen and liver. These results support the use of MPI to track adoptively transferred T cells and accelerate the development of ACT treatments for brain tumors and other cancers. METHODSAnimals and cell lines: C57BL/6 wild type mice were obtained from Jackson Laboratory. Transgenic pmel specific DsRed C57BL/6 mice were obtained from breeding a DsRed transgenic mouse (B6.Cg-Tg(CAG-DsRed*MST)1Nagy/J) and a pmel transgenic mouse (B6.Cg-Thy1a/Cy Tg(TcraTcrb)8Rest/J) to obtain the DsRed pmel-specific mouse colony. The pmel-specific T cell receptor of these mice recognizes the gp100 antigen expressed by the studied murine glioblastoma cell line, and the DsRed fluorescence allows ex vivo identification of transferred T cells. The murine glioblastoma cell line KR158B-Luc was a kind gift from Tyler Jacks. 30

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Section: Linearity Between Mpi Signal and Number Of Ferucarbotran-labmentioning

confidence: 99%

Tracking Adoptive T Cell Therapy Using Magnetic Particle Imaging

Rivera‐Rodriguez

Hoang-Minh

Chiu‐Lam

et al. 2020

Preprint

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“…(14) was used as S map in Eq. (2). When using the SART algorithms, unless specifically stated, N in Eq.…”

Section: B4 Image Reconstruction and Evaluationmentioning

confidence: 99%

“…For the spatial resolution correction, the system function obtained above was used as SF in Eq. (2). For sensitivity correction, the transverse sensitivity map generated above was used as S map in Eq.…”

Section: C5 Image Reconstructionmentioning

confidence: 99%

“…1 MPI can visualize MNPs in positive contrast, with no background and radiation exposure. 2 It can quantify the amount of MNPs, as there is an excellent linear correlation between MNP concentration and the pixel value of the MPI image. [3][4][5][6] Moreover, MPI can be utilized for the long-term monitoring of MNPs in vivo, as the MNPs do not decay with time, that is, they have an infinite physical half-life.…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous correction of sensitivity and spatial resolution in projection‐based magnetic particle imaging

Murase¹

2020

Medical Physics

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Purpose: The purpose of this study was to develop a method to simultaneously correct the spatial resolution and inhomogeneous sensitivity of a receiving coil in projection-based magnetic particle imagingand to investigate its efficacy through simulation and experimental studies. Methods: Magnetic particle imaging (MPI) images were reconstructed using the simultaneous algebraic reconstruction technique (SART), and simultaneous corrections to sensitivity and spatial resolution were performed by incorporating the sensitivity map of the receiving coil and the system function into the SART algorithm. After each SART update, the regularization methodwith total variation (TV) minimizationwas used to suppress noise amplification and artifact generation. For comparison, MPI images were also reconstructed using the filtered backprojection (FBP) method and the FBP-truncated singular value decomposition (TSVD) method, in which the system function was deconvolved from the projection data using TSVD. In simulation studies, the sensitivity map of a second-order, gradiometer-type receiving coil was generated using the Biot-Savart law, while the system function was obtained by calculating the MPI signals induced by magnetic nanoparticles at various distances from a field-free line (FFL), using a lock-in-amplifier model. The effects of a regularization parameter for TV minimization (a), number of iterations (N), and signal-to-noise ratio (SNR) of the MPI signals on the reconstructed MPI images of a numerical phantom were evaluated, using the image profiles and percent root mean square error (PRMSE). Experimental studies involved the calculation of the system function using a tube phantom. Projection data for an A-shaped phantom were acquired using our MPI scanner, and their MPI images were reconstructed from the projection data, as described above. Results: When both the sensitivity and spatial resolution were corrected (SART-SR), the quality of the reconstructed images was seen to have improved, compared to when the spatial resolution was not correctedor when the FBP and FBP-TSVD methods were used. When SNR was low (20), a larger a value yielded a better image. The minimum PRMSE occurred at N % 200-400 and increased with increasing N thereafter. When SNR was high (100), the image quality was generally not dependent on the a value within its studied range. The PRMSE decreased slowly with increasing N, and tended to converge to a constant value. The full width at half maximum (FWHM) of the profile was obtained from the A-shaped phantom, reconstructed using the SART-SR algorithm with a = 0.05 and N = 1000. The FWHM value of the tube (2 mm diameter) in the A-shaped phantom image was found to be 2.2 mm on average, whereas those calculated from the images obtained by the FBP and FBP-TSVD methods were 4.4 and 3.0 mm on average, respectively. Spatial resolution improved when using the FBP-TSVD method as compared to the FBP method but image distortion and artifacts were observed. Conclusions: Although further studies are necessary to opti...

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“…铁基纳米药物主要通过化学方法合成, 已有若干商品上市 [4] (如图1所示), 如磁性氧化铁纳米药物Reso- [22,23] . 由于药物对产品形貌及尺寸的要求, 铁基纳米药物多以颗粒或团簇体组成的零维纳米结构为主.…”

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