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Nucline v2

Manufactured by Mediso
Sourced in Hungary

Nucline v2.01 is a laboratory equipment designed for nuclear imaging applications. It is a compact and versatile system that provides high-quality image acquisition and processing capabilities. The core function of Nucline v2.01 is to enable efficient and accurate data collection and analysis in nuclear medicine research and clinical settings.

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5 protocols using nucline v2

1

Biodistribution of [18F]RM273 in Mice

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The biodistribution of [18F]RM273 in mice was assessed by dynamic small animal PET (Nanoscan, Mediso, Budapest, Hungary) 60 min recordings, followed by T1 weighted (GRE, TR/TE = 15.0/2.4 ms, 252/252, FA = 25°) imaging for anatomical correlation and attenuation correction. The mice weighing 31.7 ± 3.8 g were anaesthetized with 2% isoflurane in 60% oxygen and placed on a thermostatically heated animal bed. [18F]RM273 (7.2 ± 1.1 MBq) was injected i.v. into the lateral tail vein (bolus within 5 s) at the start of the PET-acquisition. List mode PET data were binned as a series of attenuation-corrected sinogram frames (12 × 10 s, 6 × 30 s, 5 × 60 s and 10 × 300 s) and were reconstructed by Ordered Subset Expectation Maximization (OSEM3D) with four iterations, six subsets, and a voxel size of 0.4 mm3 (Nucline v2.01, Mediso, Hungary). The analysis of reconstructed datasets was performed with PMOD software (v4.103, PMOD Technologies LLC, Zurich, Switzerland). GraphPad Prism (v9, San Diego, CA, USA) was used to calculate the area under the curve (AUC), as well as to determine the peak TAC half-life time by fitting of time–activity curves with dissociation one phase exponential decay setting t0 at peak of TAC.
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2

Biodistribution of Radiotracers by PET/MRI

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The dynamic biodistribution of the radiotracers was assessed by small animal PET (nanoscan, Mediso, Hungary) over 60 min PET with a subsequently T1 weighted MR. Anaesthetized (2% isofluran, carrier gas mixture of 40% air and 60% O2) female CD-1 mice (bodyweight = 30.3 ± 1.1 g) were kept during imaging on a heated animal bed to sustain body temperature and were pretreated with vehicle (0.9% saline) and α-CHC-Na (25 mg/kg bodyweight) prior to tracer application ([18F]1: 5.8 ± 0.2 MBq, 1.1 fmol/g bodyweight and [18F]FACH: 5.9 ± 0.5 MBq, 3.7 ± 1.8 fmol/g), whereby all injections were administered intravenously. The acquisitions were performed in normal mode and a coincidence Mode 1–5. For subsequent dynamic reconstructions, list mode data were sorted into sinograms (12 × 10 s, 6 × 30 s, 5 × 60 s, and 10 × 300 s). The frames were reconstructed by Ordered Subset Expectation Maximization applied to 3D sinograms (OSEM3D) with an attenuation correction with 4 iterations, 6 subsets and a voxel size of 0.4 mm3 (Nucline v2.01, Mediso, Hungary). Analyses of reconstructed studies were performed with PMOD software (v4.005, PMOD Technologies LLC, Zurich, Switzerland) and results are expressed in Standardized Uptake Value (SUV).
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3

Murine Tumor Imaging by PET and MRI

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The mice underwent functional positron emission tomography (PET) and 1T anatomical magnetic resonance imaging (MRI; Mediso Medical Imaging Systems). Anesthesia with isoflurane was initiated with the mouse placed in an acrylic glass chamber and maintained with respiration in a mask during the scan. A bolus of [18F]-Flurodeoxyglucose (FDG) (~15 MBq/animal) was injected via a tail vein catheter, and PET scanning was performed for 50 to 70 min after injection, followed by a 25 min T1 weighted MR-scan. Body temperature and respiration frequency were monitored during anesthesia.
A static PET image was reconstructed with a three-dimensional ordered subset expectation algorithm (Tera-Tomo 3D; Mediso Medical Imaging Systems) with four iterations and six subsets and a voxel size of 0.4 × 0.4 × 0.4 mm3. Data were corrected for dead-time, decay, and randomness using a delayed coincidence window without corrections for attenuation and scatter. A specialist in nuclear medicine identified tumors by visual inspection of the PET/MR-scans using Nucline v2.01 (Mediso Medical Imaging Systems). Borders of the tumors were drawn manually, and volume was calculated using HERMES (Hermes Medical Solutions).
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4

SPECT/CT Imaging of Tumor-Targeted Radiotracers

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SPECT/CT imaging was performed using a small animal SPECT/CT imaging system (Mediso Inc., Budapest, Hungary). Each mouse bearing MC38 tumors was injected with a radiotracer at a radioactivity of 37 MBq/1 mCi. The mice were imaged at 1, 4, 12, 24, and 72 h after injection of 177Lu-Palm-3PRGD2 (37 MBq, 2.7 nmol), and the mice in the blocking study were imaged at 1 h p.i. The mice were imaged at 1 and 4 h after injection of 177Lu-3PRGD2 (37 MBq, 3.3 nmol) or 177Lu-Palm (37 MBq, 3.3 nmol). Pinhole SPECT images (peak, 56.1, 112.9, and 208.4 keV; 20% width; frame time, 25 s) were acquired, and CT images were subsequently acquired (50 kV; 0.67 mA; rotation, 210°; exposure time, 300 ms). The raw data were reconstructed in a whole-body region. The SPECT and CT images were then fused using Nucline v 2.01 (Mediso Inc., Budapest, Hungary). The maximum intensity projection (MIP) was determined for whole-body imaging from the posterior view.
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5

Preclinical PET Imaging of [ 68 Ga]4hD29

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Details regarding PET imaging experiments are described in the ESM Methods. Briefly, [ 68 Ga]4hD29 imaging was performed on a preclinical PET/CT scanner (nanoScan PET/ CT with Nucline v2.01 [019.0000]; Mediso, Hungary). Animals were anaesthetised and intravenously injected with 2-4 MBq of the radiotracer. CT images were obtained for anatomical localisation, as well as for attenuation and scatter correction of PET images. PET images were acquired for 30 min, starting 60 min post-injection, and reconstructed using a three-dimensional ordered subsets expectation maximisation (3D-OSEM) algorithm. All PET images were Quantitative analysis was performed using the VivoQuant software v3.5 (InVicro, Boston, MA, USA). Different ROIs were designed around the tumour, liver and kidneys to measure radioactivity uptake in these organs. For tumour segmentation, the design of the ROI was performed based on the CT and encompassed the whole tumour volume. Segmentation of kidneys was performed based on the PET signal using the Otsu automatic thresholding method (VivoQuant v3.5), whereas spheres were designed in the liver. A spherical ROI was also drawn in the leg muscle and was used to calculate the radioactive background within the animal.
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