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71 protocols using vivoquant software

1

Quantifying Tumor Radioactivity via SPECT/CT

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All SPECT/CT fusion images were obtained using the VivoQuantTM software (Invicro, Needham, MA, USA). Each image was visually interpreted and 3D regions of interest (3D ROI) corresponding to the tumors were manually drawn to determine their radioactivity content. Injected doses per animal were measured at the time of injection in MBq. Tumor radioactivity content was expressed in MBq, converted to percentage of injected dose per gram of tissue (%ID/g). All images were decay corrected for quantification.
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2

Multimodal Imaging for Intestinal Pathologies

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For the Cellvizio images, qualitative analysis of crypt forms (green channel) and red mucus dots were performed by three of the authors (N.H., D.S.V., D.M.) in a blinded fashion.
The PET/MRI images were qualitatively assessed from a radiologic point of view and enlarged lymph nodes or bowel luminal tumors were identified using both the MRI and PET images. PET images were then quantitatively analyzed with the vivoQuantTM software (inviCRO, Ltd., Boston, USA) by defining the whole intestinal volume in a three-dimensional volume of interest and calculating the standardized FDG uptake value and the radioactivity concentration percentage to whole body radioactivity for each animal in the intestinal volume of interest.
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3

Biodistribution of Radiolabeled Nanomaterials

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The biodistribution of intravenously (i.v.)-injected 111In-labelled L2/3, L2/3:ox-MWNTs, and L2/3:ox-MWNTs-NH3+ was firstly examined by 3D whole body SPECT/CT imaging. Mice were injected via tail vein with 100 μg of labelled 111In(L2/3):f-MWNTs (1 mg/ml in PBS) or In(L2/3) alone (100 μg) under isoflurane anaesthesia. SPECT/CT scans were carried out on the same animal at multiple time points: immediately after injection, at 4 h and 24 h. Mice were placed in the prone position and SPECT scans were acquired over 24 projections (60 s per projection), using a 4-head scanner with 1.4 mm pinhole collimators, for a total acquisition time of 30-40 min (Nano-SPECT/CT, USA) 27 (link). CT scans (45 kVP X-ray) were performed after each SPECT. All images were reconstructed by MEDISO software (Medical Imaging Systems), and SPECT and CT images were merged using the VivoQuantTM software (inviCRO, USA).
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4

Radiolabeled NOTA-NT-20.3 for Tumor Imaging

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All animal procedures were approved by the University of Alabama at Birmingham IACUC, animal protocol number IACUC-22618. Male athymic nude mice (Charles River, Wilmington, MA, USA) were allowed to acclimate for at least 72 h before any procedures were performed. For tumor implantation, mice were subcutaneously injected with 300,000 HT29 cells 3 weeks before imaging. For imaging, mice were injected with 1 μg of radiolabeled NOTA-NT-20.3 or 1 μg of radiolabeled NOTA-NT-20.3 and 200 μg non-radiolabeled NOTA-NT-20.3 (n = 4 per group) and imaged at 1 h (gallium-68, copper-64, cobalt-55), 4 h, and 24 h (copper-64 and cobalt-55). Mice were imaged on a GNEXT microPET/CT (Sophie, Springfield, VA, USA). After the last imaging timepoint, mice were euthanized and organs were taken for biodistribution. Organ weights and radioactive counting were collected on a Hidex gamma counter (Lablogic, Clair-Mel City, FL, USA). Images were processed and SUVs were calculated using VivoQuant software (Invicro, Boston, MA, USA).
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5

In Vivo Zirconium-89 PET/CT Imaging of Tumor-Bearing Mice

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Preclinical PET/CT images were acquired using a NanoScan® PET/CT (Mediso Medical Imaging Systems, Budapest, Hungary) scanner with mice under isoflurane (2% in oxygen) anesthesia. The KB tumor xenograft-bearing CD1 nude mice (n=3 for each liposome) each received approximately 5.0 MBq of either 89Zr-FA-DFO-liposome or 89Zr-DFO-liposome in 100 µL PBS via i.v. injection. PET scanning was performed for 30 min at 6, 24, and 48 h postinjection followed by a CT scan. All PET/CT data were reconstructed with the Monte Carlo-based full-three-dimensional iterative algorithm Tera-Tomo (Mediso Medical Imaging Systems). Raw PET data were reconstructed into 30-min bins using reconstruction settings (four iterations, six subsets, 0.4×0.4×0.4 mm3 voxel size) as well as intercrystal scatter correction. All reconstructed data were analyzed with VivoQuant software (v2.5; inviCRO, LLC, Boston, MA, USA).
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6

In Vivo Brain Glucose Uptake PET/CT

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Mice were fasted overnight and 18FDG (Cardinal Health, Omaha, NE) was injected intravenously to fasted mice, and brain glucose uptake was evaluated by PET scan. Briefly, mice were anesthetized by 2% isoflurane along with oxygen. 18FDG with an activity of 70 µCI in a total volume of 0.1 ml PBS was intravenously injected into the lateral tail vein and allowed for 10 min of uptake. At 30 min post-injection, 10 min PET acquisitions were carried out using Molecube beta-CUBE (MOLECUBES NV, Gent, Belgium). CT scans were acquired using TriFoil imaging Triumph (Tri-foil imaging Northridge, CA). The X-ray tube was used at 150 μA and 75 kV. Each run obtained 512 projections with an exposure time of 230 ms. VIVOQUANT software (inviCRO, Boston, MA) was used to overlay the CT and PET reconstructed images for glucose uptake measurements.
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7

Quantitative Analysis of 3D Lung Imaging

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To perform quantitative analysis of the 3D images, the lung region of interest (ROI) was manually selected based on the anatomical structure in each slice of the CT image. The ROIs were applied to the co‐registered MPI‐CT images and the MPI signal intensity of each pixel in the lung ROIs was extracted. We defined the SPIO extravasation index (SEI) as the pixel intensities (PXLI) summed over all the pixels in the lung divided by PXLI summed over the entire body and normalized by the volume of the lung (Vlung, cm3): SEI=lungPXLIi,j,kwhole bodyPXLIi,j,k*Vlung, where i,j,k denote the coordinates that identify the location of each pixel. 3D image segmentation and quantification were performed using the CT & MPI Visualization Tools in 3Dmed software. 2D image quantification and processing were performed using VivoQuant™ software (VivoQuant 4.0, Invicro, Boston, MA, USA).
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8

Multimodal Imaging of Radiolabeled Folate Uptake

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Imaging studies were performed using a small-animal SPECT/CT camera (NanoSPECT/CTTM, Mediso Medical Imaging Systems, Budapest, Hungary). [177Lu]folate was injected into the lateral tail vein of tumor-bearing mice (25 MBq, ~1 nmol per mouse). SPECT scans of 38 min duration were performed 4 h and 24 h after injection of the [177Lu]folate after CT scans of 7.30 min duration. The images were acquired using Nucline Software (version 1.02, Mediso Ltd., Budapest, Hungary). The reconstruction was performed using HiSPECT software, version 1.4.3049 (Scivis GmbH, Göttingen, Germany). Images were analyzed using VivoQuant software (version 3.0, inviCRO Imaging Services and Software, Boston, US). Gauss post-reconstruction filter (FWHM = 1 mm) was applied twice to the SPECT images, and the scale of radioactivity was set as indicated on the images (minimum value = 3 Bq/voxel to maximum value = 30 Bq/voxel).
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9

Preclinical SPECT/CT Imaging Protocol

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Animal imaging studies were ethically reviewed and carried out in accordance with the Animals (Scientific Procedures) Act 1986 (ASPA) UK Home Office regulations governing animal experimentation. SPECT/CT imaging was accomplished using a pre-clinical nanoScan SPECT/CT Silver Upgrade instrument (Mediso) calibrated for technetium-99m. All scans were acquired by helical SPECT (4-head scanner with 4 × 9 [1.4 mm] pinhole collimators), and helical CT with 1.4 mm aperture collimators. All acquired images were reconstructed using a full 3D Monte Carlo-based iterative algorithm (Tera-Tomo; Mediso) and further processed and analysed using VivoQuant software (inviCRO, USA).
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10

3D CT-Based Human Susceptibility Model

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A human susceptibility model was constructed from a 3D CT data set of the human body acquired in a healthy human volunteer under approval of the institutional review board at the University of North Carolina at Chapel Hill and conducted in accordance with the Helsinki Declaration. CT images were acquired with a resolution of 0.91 mm × 0.91 mm × 1.5 mm by using 5 bed positions to cover a region from the crown of the head to the lower abdomen. The 3D image dataset was thresholded with a cutoff value of −400 HU to separate the soft tissue from airspaces using VivoQuant software (Invicro, Boston, MA, USA). Each region was then assembled into a standard tessellation language mesh using 3D Slicer open-source software (http://www.slicer.org) (44 (link)). In preparation for finite-element analysis simulations, the mesh models were reconstructed into watertight surfaces using screened Poisson surface reconstruction (45 (link)) and quadratic edge collapse decimation, as implemented in MeshLab (http://www.meshlab.net) (46 (link)).
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