Browsing by Author "Territo, Paul R"

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    Functional MRI Assessment of Renal Fibrosis in Rat Models
    (Office of the Vice Chancellor for Research, 2015-04-17) Jiang, Lei; Lin, Chen; Territo, Paul R; Riley, Amanda; McCarthy, Brian; Molitoris, Bruce A.; Hutchins, Gary D.
    Introduction Renal fibrosis is a common consequence of chronic kidney diseases which affects a large population. Therefore, it is important to establish imaging based noninvasive biomarkers to monitor the progression or regression of renal fibrosis instead of biopsy. Magnetic resonance imaging (MRI) could provide both high spatial resolution and excellent tissue contrast for visualization of kidney morphology. Moreover, MRI is capable of assessing pseudo perfusion (Df) and perfusion fraction (Pf) with intra-voxel incoherent motion (IVIM) imaging (1), tissue oxygenation with T2* mapping (2), macromolecular composition with T1rho imaging (3) and kidney function (eGFR) with dynamic contrast enhanced (DCE) imaging (4). This study is aimed to evaluate the sensitivity of these MRI techniques to the renal fibrotic changes in a rat model. Methods A total of 4 rats were scanned at early (2-5 days) and late (25-35 days) time points after surgical intervention (unilateral ureteral obstruction to induce renal fibrosis) on a Siemens Tim Trio 3T scanner using an 80mm inner diameter 8-channel rat body coil (RAPID, USA) under a stable anesthetized condition. Axial images of 80mm FOV, 2mm slice thick and sub-millimeter in-place resolution were acquired for different functional MRI techniques with following parameters, respectively: IVIM with10 b-values of 0 - 750 s/mm2. T2*: with 10 TEs of 8 - 66 ms; T1rho: with 9 TSL times of 5 - 80 ms; DCE: with150 dynamic measurements at a temporal resolution of 1.01 s. before and after a 15s injection of 1.1 ml GD-DTPA through rat tail with a power injector. Functional data were processed and analyzed using custom MATLAB programs or analysis tools installed in the MRI console workstation. Results Figure 1 shows an anatomical image of the obstructed (R) and healthy (L) rat kidneys. Figures 2-4 show example T1rho map, IVIM Df map, and T2* map, respectively. Quantitative results based on ROI measurements are summarized in table 1. Changes consistent with the expected progression of fibrosis were observed in the obstructed kidney (R) while the healthy kidney (L) and muscle region remained stable. Figure 5 shows the DCE-MRI images at baseline as well as 45s, 95s and 240s after contrast infusion. The timing and intensity of signal changes are clearly different between two kidneys. Quantitative results of DCE-MRI data and comparison with PET study is reported in a separate abstract. Discussion High quality anatomical and functional images of rat kidney can be obtained on a clinical 3.0T MR scanner with dedicated small animal coils and optimized imaging techniques. The findings suggest that IVIM, T2*, T1rho and DCE can be used to assess and monitor different aspects of physiological changes in kidney fibrosis.
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    Multimodality Imaging Methods for Assessing Retinoblastoma Orthotopic Xenograft Growth and Development
    (2014-06) Corson, Timothy W.; Samuels, Brian C; Wenzel, Andrea A; Geary, Anna J; Riley, Amanda A; McCarthy, Brian P; Hanenberg, Helmut; Bailey, Barbara J; Rogers, Pamela I; Pollok, Karen E; Rajashekhar, Gangaraju; Territo, Paul R
    Genomic studies of the pediatric ocular tumor retinoblastoma are paving the way for development of targeted therapies. Robust model systems such as orthotopic xenografts are necessary for testing such therapeutics. One system involves bioluminescence imaging of luciferase-expressing human retinoblastoma cells injected into the vitreous of newborn rat eyes. Although used for several drug studies, the spatial and temporal development of tumors in this model has not been documented. Here, we present a new model to allow analysis of average luciferin flux ( F) through the tumor, a more biologically relevant parameter than peak bioluminescence as traditionally measured. Moreover, we monitored the spatial development of xenografts in the living eye. We engineered Y79 retinoblastoma cells to express a lentivirally-delivered enhanced green fluorescent protein-luciferase fusion protein. In intravitreal xenografts, we assayed bioluminescence and computed F, as well as documented tumor growth by intraocular optical coherence tomography (OCT), brightfield, and fluorescence imaging. In vivo bioluminescence, ex vivo tumor size, and ex vivo fluorescent signal were all highly correlated in orthotopic xenografts. By OCT, xenografts were dense and highly vascularized, with well-defined edges. Small tumors preferentially sat atop the optic nerve head; this morphology was confirmed on histological examination. In vivo, F in xenografts showed a plateau effect as tumors became bounded by the dimensions of the eye. The combination of F modeling and in vivo intraocular imaging allows both quantitative and high-resolution, non-invasive spatial analysis of this retinoblastoma model. This technique will be applied to other cell lines and experimental therapeutic trials in the future.