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Adw 4.6 workstation

Manufactured by GE Healthcare
Sourced in United States

The ADW 4.6 workstation is a computer-based system designed for use in clinical laboratories. It provides a platform for data management, analysis, and reporting of laboratory test results. The workstation is capable of integrating with various laboratory instruments and information systems to facilitate the efficient handling and processing of patient samples.

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17 protocols using adw 4.6 workstation

1

Cardiac CT Analysis of LAA Closure

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The cardiac CT images of patients received catheter-based LAA closure were collected and analyzed in order to measure the size of the orifice and the depth of the LAAs. CT images were acquired with retrospect ECG gating using a 64-Multidetector CT system (LightSpeed VCT, GE Healthcare, VA). The tube voltage was set to 120 kV, and the current was 300 to 650 mA. The thickness of the scanning layer was 5 mm, and the reconstruction thickness was 0.625 mm. The 75% phase of the R-R interval throughout the cardiac cycle was exported to GE ADW 4.6 workstation for the analysis. The maximal LAA orifice and the depth were measured based on horizontal, coronal, and sagittal sections.
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2

Quantitative Multimodal Brain Mapping

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Raw 3D-PCASL data for the CBF quantitative map were acquired via the GE ADW4.6 workstation, and the raw ESWAN data for the QSM quantitative map were acquired through the MATLAB 2018a (MathWorks, Natick, MA, USA) platform using STI Suite 3.0 software (https://people.eecs.berkeley.edu/chunlei.liu/software.html). To calculate the quantitative parameters CBF and QSM in different brain regions, we adopted a voxel-based morphometry (VBM) method and employed SPM12 software via the MATLAB 2018a platform (http://www.fil.Ion.ucl.ac.uk/spm/); the 3D-T1 sequence structure map was registered with quantitative CBF and QSM maps. Subsequently, the CAT12 toolkit in SPM12 software (http://www.neuro.uni-jena.de/cat/) was employed to segment the registered structural quantitative map and ultimately extract the parameter values for each brain area (Figure 1).
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3

Gastric and Duodenal Imaging Protocol

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All 29 patients underwent preoperative plain and enhanced MSCT scanning after an 8-h fast, using a VCT 64-row spiral CT scanner (GE Healthcare, Waukesha, WI, USA). At 30 min before scanning, the patients were asked to drink 800 ml of water to induce the dilation of the gastric cavity and duodenum, and to drink 250–300 ml of water immediately before scanning. The patients were placed in supine position and asked to hold their breath after inhalation. After plain scanning was conducted, a high pressure injector was used to inject the nonionic iodine contrast agent (ultravist; 80–100 ml, 1.5 ml/kg) through the forearm cubital vein, at 3.0 ml/s. Scanning was conducted at 25 s (arterial phase, AP), 60 s (portal venous phase, VP), and 90 s (delayed phase, DP), covering the area from the diaphragmatic dome to the inferior pole of bilateral kidneys. The scanning parameters were: tube voltage of 120 kV, tube current of 280–300 mAs, screw pitch of 1.0, layer thickness of 5 mm, and interlayer spacing of 5 mm. During reconstruction, layer thickness was 1 mm, and interlayer spacing was 0.8 mm. All the original data were input to the ADW4.6 workstation (GE Healthcare, Waukesha, WI, USA) for multiplanar reconstruction.
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4

Cerebral Blood Flow Mapping in Neonatal Hypoxic-Ischemic Encephalopathy

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The clinical test was performed using a GE discovery MR750 3.0T magnetic resonance scanner and 8-channel head-neck combined coils. The 3D-pcASL sequences were collected only once. The PLD values were preset at 1025 ms for the 0- to <24-hour-old groups (HIE/control) and 1- to <3-day-old groups (HIE/control) and 1525 ms for all other groups (HIE/control). The other scanning parameters in the clinical test were the same as those of the clinical pretest.
Data analysis: (1) Raw data were imported into the Functool software through the GE ADW 4.6 workstation; then, the CBF maps were obtained. (2) The CBF values in the regions of brain, such as the cerebellum, thalamus, occipital lobe, temporal lobe, parietal lobe and frontal lobe, were detected. (3) The round regions of interest (ROIs) with sizes of (55±2) mm2 were manually delineated, and the sizes, locations and levels of the ROIs were kept as consistent as possible in all cases; we tried to select the gray matter region during the selection of ROIs because in neonates with HIE, gray matter is more prone to ischemia due to hypoxia. We chose the ROIs to avoid the large blood vessel areas of the brain as much as possible[27 (link)–29 (link)] (Fig 1A–1C).
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5

Optimizing ICG@SANPs-cRGD Contrast for MRI

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The different concentrations of ICG@SANPs-cRGD solution (0μg/mL, 1μg/mL, 5μg/mL, 10μg/mL, 25μg/mL, 50μg/mL) was placed in eppendorf tubes (1.5mL) and vortexed for 3 min, respectively. T1-weighted MRI images were acquired using a 3.0T magnetic resonance imaging scanner (MRI) (Discovery MR750, GE Healthcare, USA). The scanning parameters were set as follows: T1WI: FOV 80cm × 80cm, slice thickness 2mm, slice spacing 0.2mm, matrix 256 × 256, TR 825ms, TE 11.5ms. The images of T1WI were analyzed and processed on GE ADW4.6 workstation.
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6

Image Visualization Techniques

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Image post-processing and reconstruction were accomplished on the GE ADW4.6 workstation using maximum intensity projection, multi-planar reformation and volume rendering techniques.
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7

Cerebral Perfusion Analysis via CTP-4D

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Following data acquisition, images were uploaded onto a GE ADW4.6 Workstation (GE Healthcare) and processed using Stroke mode in the CTP-4D software (version 11.3) of the Workstation. The cerebral middle cerebral artery and the superior sagittal sinus were automatically set as the input artery and output vein, respectively. A parametric diagram reflecting blood perfusion in cerebral tissues was constructed. The diagram was evaluated by a senior neuroradiologist, who elected each region of interest (ROI) ~2 mm2 in size at the bilateral temporal lobes and basal ganglion and measured the rCBF, rCBV and MTT. Areas were selected to avoid vessels and damaged brain tissues. The values for each parameter within the ROIs were recorded, from which the average values were calculated.
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8

Chest CT Imaging Protocol for COVID-19

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All chest CT examinations were performed using the following three scanners: Discovery CT750HD (GE Healthcare), Toshiba Aquilion 16 (Toshiba Medical Systems), and Brilliance iCT (Philips Healthcare). All patients underwent noncontrast-enhanced scanning in the supine position. The imaging parameters were as follows: tube voltage, 100–130 kV; tube current, 100–400 mA; and scanning slice thickness, 5 mm. All images were reconstructed using 1-mm or 1.25-mm thin slices and stored on an ADW 4.6 workstation (GE Healthcare). Generally, follow-up CT scans were performed every 5–7 days for assessing disease progression after a short-term regular treatment. When the patient’s symptoms worsened or the treatment protocols changed, the follow-up interval was shortened according to the patient’s condition. Finally, the follow-up interval for our patients was 3–7 days. Among them, 61 patients had undergone four follow-up CT scans, 18 patients had undergone five follow-up CT scans, and 27 patients had undergone six follow-up CT scans.
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9

MR Relaxation of Gd-Nanoparticles and Omniscan

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For in vitro MR relaxation text, GPT NPs and Omniscan were diluted in Eppendorf tubes (2 mL volume) at various Gd concentration (0.006–0.1 mM) concentrations. T1 map sequence: repetition time (TR) = 1000, 2000, 3000, 4000 ms; echo time (TE) = 8 ms; slice thickness = 2 mm; space = 0.5 mm; field of view (FOV) = 18; phase FOV = 0.8; freq × phase = 256 × 192; number excitations (NEX) = 2; echo train length (ETL) = 3. MR images were transferred to ADW 4.6 workstation (GE Healthcare, US). The mean T1 values of each sample were measured by regions-of-interest (ROI) on the T1-mapping post-processing software and the relaxation rate r1 was determined according to the linear plot of 1/T1 versus Gd concentration.
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10

Multi-Regional Brain Metabolite Analysis

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Routine MRI and 1H‐MRS were performed with a 3‐T MRI system (Sigma HDx Twin speed, General Electric Medical Systems) with a standard 8‐channel head coil. Two associate chief physicians interpreted all images.
The MRI parameters were: repetition time (TR), 4,420.0 ms; echo time (TE), 112.1 ms; matrix, 512 × 512; slice thickness, 5.0 mm; interlayer thickness, 1.0 mm.
Multi‐voxel 1H‐MRS were performed using a point‐resolved spectroscopy sequence with the following parameters: TR, 1,500 ms; TE, 35 ms; phase × frequency = 18 × 18, volume of interest, 8 × 10 × 1 cm; field of view, 240 × 240 mm; and number of excitations = 1.
Water suppression (>95%) and shimming (linewidth, <12 Hz) were automatically achieved using a variable pulse power and optimized relaxation delay scheme. After zero‐filling and baseline correction, the spectra were post‐processed automatically using “Advantage Window 4.6 workstation Functool software” (General Electric Medical Systems Signa excite 3.0T HD Ecospeed MRI, ADW 4.6 workstation, USA). The peak areas were the proportion using creatine as the reference which represent the various metabolic concentration such as NAA/Cr and Cho/Cr. The regions of interest (ROIs) for spectral analysis included the substantia nigra, globus pallidus, prefrontal lobe, hippocampus, cuneus gyrus and dorsal thalamus on both sides of the brain (Figure 1).
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