Vivoquant 2020

Manufactured by Invicro

Sourced in United States

VivoQuant 2020 is a software platform designed for the analysis and visualization of small animal imaging data. It provides multi-modality image registration, segmentation, and quantification capabilities for various preclinical imaging techniques.

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Lab products found in correlation

Nanoscan pet ct, by Mediso (2 mentions) Osirix md 11.0 dicom viewer, by Pixmeo (2 mentions) R software, by R Project for Statistical Computing (1 mentions) Pmod 4, by PMOD Technologies (1 mentions) Amira 5, by Visage Imaging (1 mentions)

8 protocols using vivoquant 2020

Radiolabeled Tracer Imaging of Infection

Cited 2 times

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After incubation of the infections (3 days for rabbit myositis, 7 days for rabbit joint infection), the rabbits were anesthetized and injected intravenously with 370 MBq ¹¹C-PABA through the lateral ear vein. PET was acquired 30–60 minutes after tracer injection using the NanoScan PET/CT (Mediso) followed by a CT for attenuation correction and anatomical coregistration. For ¹⁸F-FDG and ¹⁸F-FDS PET, animals were injected intravenously with 18.5 MBq of the tracer and imaged 45 or 120 minutes after injection, respectively (14 (link), 35 (link)). For rat experiments, on day 4 after infection, the rats were injected intravenously with 30 MBq ¹¹C-PABA and imaged under isoflurane anesthesia on a Siemens Inveon microPET/CT system (Siemens) from 0 to 40 minutes with PET followed by CT. Image analysis was performed by drawing VOIs based on the CT with AMIDE 1.0.4. VivoQuant 2020 (Invicro) was used for data visualization.

Ordonez A.A., Parker M.F., Miller R.J., Plyku D., Ruiz-Bedoya C.A., Tucker E.W., Luu J.M., Dikeman D.A., Lesniak W.G., Holt D.P., Dannals R.F., Miller L.S., Rowe S.P., Wilson D.M, & Jain S.K. (2022). 11C-Para-aminobenzoic acid PET imaging of S. aureus and MRSA infection in preclinical models and humans. JCI Insight, 7(1), e154117.

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Quantifying Bone Infection Dynamics with 11C-Rifampin PET/CT

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¹¹C-Rifampin PET/CT were visualized using Mirada XD 3.6 (Mirada Medical) or VivoQuant 2020 (Invicro) for human and mice, respectively. 3D spherical VOIs were manually drawn using CT as a guide and applied to the dynamic PET data (38 (link), 39 (link)). VOIs are shown in fig. S3. PET signal in blood (left ventricle; corrected to plasma using the individual hematocrit values from each patient or using a 50% hematocrit value in mice), infected bone (visualized on magnetic resonance imaging or CT in human subjects or 25% distal femur in mice), and contralateral uninfected region (e.g., contralateral tibia or foot in humans and contralateral 25% of distal femur in mice) as well as other uninfected bones (humerus head, humerus shaft, and cervical and lumbar spine) was measured. PMOD 4.1 (PMOD Technologies) and VivoQuant 2020, for human and mice, respectively, were used to generate TACs. Tissue density [Hounsfield unit (HU) obtained by CT] was used to convert the PET data to per mass of tissue. The implants (identified on the basis of radiodensity >5000 HUs) were excluded from the image analysis in all studies. Heat map overlays were implemented using R software (R Foundation for Statistical Computing).

Gordon O., Lee D.E., Liu B., Langevin B., Ordonez A.A., Dikeman D.A., Shafiq B., Thompson J.M., Sponseller P.D., Flavahan K., Lodge M.A., Rowe S.P., Dannals R.F., Ruiz-Bedoya C.A., Read T.D., Peloquin C.A., Archer N.K., Miller L.S., Davis K.M., Gobburu J.V, & Jain S.K. (2021). Dynamic PET-facilitated modeling and high-dose rifampin regimens for Staphylococcus aureus orthopedic implant–associated infections. Science translational medicine, 13(622), eabl6851.

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Multi-Atlas Lung Segmentation for SARS-CoV-2 Imaging

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A multi-atlas lung segmentation (MALS) algorithm was used to create the whole lung volumes of interest (VOI) [16 , 17 ]. A reference library was generated from a selection of study images that included SARS-CoV-2-infected hamsters in various stages of lung disease. A bounding box for the lung VOI was generated using a combination of rigid and affine transformations followed by a high-dimensional deformable registration technique inside this bounding box to efficiently refine the linear mapping accuracy [18 ]. The propagated labels were merged using a weighted voting-based label fusion technique [19 (link)]. A local search algorithm was also used to improve robustness against registration errors [20 (link)]. Pulmonary lesions were defined using a global Hounsfield units (HU) threshold ≥ 0 [21 (link)]. The data are represented as CT score [(pulmonary lesions volume/whole lung volume) × 100]. The investigators analyzing the CT were blinded to the group assignments.
VivoQuant™ 2020 (Invicro, Boston, MA, USA) was used for visualization and quantification. Scatter and attenuation corrections were applied to the PET data and multiple VOIs were manually drawn per animal using the CT as a reference.

Ruiz-Bedoya C.A., Mota F., Ordonez A.A., Foss C.A., Singh A.K., Praharaj M., Mahmud F.J., Ghayoor A., Flavahan K., De Jesus P., Bahr M., Dhakal S., Zhou R., Solis C.V., Mulka K.R., Bishai W.R., Pekosz A., Mankowski J.L., Villano J., Klein S.L, & Jain S.K. (2021). 124I-Iodo-DPA-713 Positron Emission Tomography in a Hamster Model of SARS-CoV-2 Infection. Molecular Imaging and Biology, 24(1), 135-143.

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PET/CT Image Analysis of Pharmacokinetics

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PET/CT images were analyzed using VivoQuant 2020 (Invicro) or PMOD (3.402) for animal and human studies, respectively. In humans, the brain segmentation tool (Hammers N30R83) was used to draw VOIs and OsiriX MD 11.0 DICOM Viewer (Pixmeo SARL) was used to create 3D MIP images. Data for blood were obtained by placing a VOI in the left heart ventricle and then correcting to plasma using individual subject hematocrit values or standard hematocrit^{47 (link)} and red blood cell partition coefficient of pretomanid^{48 (link)} (Table S5). PET data were adjusted for mass using the density of each organ obtained from the CT (Hounsfield units). Data are expressed as %ID/g or standard uptake values (SUV) in animal or human studies, respectively. Heatmap overlays were created using RStudio.

Mota F., Ruiz-Bedoya C.A., Tucker E.W., Holt D.P., De Jesus P., Lodge M.A., Erice C., Chen X., Bahr M., Flavahan K., Kim J., Brosnan M.K., Ordonez A.A., Peloquin C.A., Dannals R.F, & Jain S.K. (2022). Dynamic 18F-Pretomanid PET imaging in animal models of TB meningitis and human studies. Nature Communications, 13, 7974.

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Multimodal Imaging of Myeloid Cell Targeting

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SPECT/CT was performed at 24, 48 and 72 h post-i.v. injection of ¹⁷⁷Lu-Lumi804-αCD11b (100 µg, 7.4 MBq; molar activity: 11.1 GBq/μmol). ¹⁷⁷LuCl₃ (3.7 MBq) was used for SPECT scanner signal calibration. For PET/CT imaging, mice were injected i.v. with ⁸⁹Zr-Lumi804-αCD11b (50 µg, 3.7 MBq; molar activity: 11.1 GBq/μmol). For blocking studies, ⁸⁹Zr-Lumi804-αCD11b was co-injected with 500 μg of αCD11b antibody (unlabelled) to reduce molar activity 10-fold (1.1 GBq/μmol). ⁸⁹Zr-Lumi804-αCD11b uptake is expressed as SUV_mean.
Biodistribution studies of ⁸⁹Zr-Lumi804-αCD11b and ¹⁷⁷Lu-Lumi804-αCD11b were performed immediately after the 72h imaging. Mice were euthanized, major organs were collected, weighed, and the tissue-associated radioactivity was assessed in a gamma counter and expressed as % ID/g. The biodistribution of ⁸⁹Zr-Lumi804-αCD11b was also compared with that of ⁸⁹Zr-DFO-αCD11b at 216 h post injection. To determine the biodistribution of ⁸⁹Zr-DFO-αCD11b, serial PET imaging studies were performed at 1, 24, 48, 72, and 96 hours. Regions of interest were drawn around the tumour and within the contralateral brain, along with muscle, liver, and heart as a surrogate for blood. The SUVmean values were calculated (VivoQuant 2020, Invicro) and plotted against time.

Foster A., Nigam S., Tatum D.S., Raphael I., Xu J., Kumar R., Plakseychuk E., Latoche J.D., Vincze S., Li B., Giri R., McCarl L.H., Edinger R., Ak M., Peddagangireddy V., Foley L.M., Hitchens T.K., Colen R.R., Pollack I.F., Panigrahy A., Magda D., Anderson C.J., Edwards W.B, & Kohanbash G. (2021). Novel theranostic agent for PET imaging and targeted radiopharmaceutical therapy of tumour-infiltrating immune cells in glioma. EBioMedicine, 71, 103571.

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Longitudinal PET Imaging of Lung FDG Uptake

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Six RHZ- or RHZ+ISRIB-treated mice were sequentially imaged after 0, 2, 4, and 6 months of treatment (32 (link), 33 (link), 51 (link)). Each animal was fasted, intravenously injected with 6.9 ± 0.69 MBq of ¹⁸F-FDG, and subjected to a 15-minute PET acquisition and subsequent CT scan (nanoScan PET/CT; Mediso, Arlington, VA). Regions of interest were manually selected using CT as a guide and applied to the PET data set using VivoQuant 2020 (Invicro, Boston, MA). Mean lung ¹⁸F-FDG PET activity per mouse was calculated as the average activity normalized by injected dose (% ID/mL). Full details are in Text S1.

Krug S., Prasad P., Xiao S., Lun S., Ruiz-Bedoya C.A., Klunk M., Ordonez A.A., Jain S.K., Srikrishna G., Kramnik I, & Bishai W.R. (2023). Adjunctive Integrated Stress Response Inhibition Accelerates Tuberculosis Clearance in Mice. mBio, 14(2), e03496-22.

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PET Data Visualization and Analysis

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Human PET data were visualized using OsiriX MD 11.0 DICOM Viewer (Pixmeo SARL). VivoQuant 2020 (Invicro) was used for animal data. VOIs were manually drawn using CT as a guide and applied to the PET dataset (44 , 46 (link)).

Ordonez A.A., Wintaco L.M., Mota F., Restrepo A.F., Ruiz-Bedoya C.A., Reyes C.F., Uribe L.G., Abhishek S., D’Alessio F.R., Holt D.P., Dannals R.F., Rowe S.P., Castillo V.R., Pomper M.G., Granados U, & Jain S.K. (2021). Imaging Enterobacterales infections in patients using pathogen-specific positron emission tomography. Science translational medicine, 13(589), eabe9805.

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PET/CT Image Analysis Protocol

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Human images were analyzed using Mirada XD^™ 3.6.8 (Mirada Medical) and PMOD version 3.402 (PMOD Technologies LLC) while the animal images were analyzed using VivoQuant 2020 (Invicro). Three-dimensional volumes of interest (VOIs) were drawn using the CT as a reference and the PET data extracted as time-activity curves (TACs), which were used to calculate tissue AUCs and represented as AUC_{tissue/plasma} ratios^{7 (link),8 (link)}. PET activity was converted from tissue volume to tissue mass using tissue density from the Hounsfield units (CT). Heatmap overlays were created using AMIRA 5.2.1 (Visage Imaging, Inc.) and AMIDE 1.0.6 (Andreas Loening).

Jain S., Chen X., Arun B., Meza O.N., Sarhan M., Singh M., Jeon B., Mane K., Shah M., Tucker E., Carroll L., Freundlich J., Peloquin C, & Ivaturi V. (2024). Dynamic PET Reveals Compartmentalized Brain and Lung Tissue Antibiotic Exposures. Research Square.

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