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Ge advantage workstation 4

Manufactured by GE Healthcare
Sourced in United States

The GE Advantage Workstation 4.4 is a clinical review and reporting solution designed for healthcare professionals. It provides tools for image viewing, manipulation, and reporting across various imaging modalities.

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9 protocols using ge advantage workstation 4

1

Evaluating Breast Metabolism and Parenchymal Enhancement

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For MRI analysis, two breast radiologists with 8 and 15 years of experience in breast imaging reviewed the MR images in consensus. BPE was evaluated in the contralateral breast of cancer patients and categorized as minimal, mild, moderate, or marked based on Breast Imaging Reporting and Data System (BI-RADS) criteria [23 ]. A combination of contrast enhanced images at 90 seconds, subtraction, and maximum-intensity projection images were used to analyze BPE.
For PET/CT analysis, a specialist in nuclear medicine with 11 years of PET experience reviewed 18FDG PET/CT images on a dedicated workstation (GE Advantage Workstation 4.4; GE Healthcare). The volumetric region of interest was carefully placed in the whole glandular tissue of the contralateral normal breast. The SUVmax and SUVmean values of normal glandular tissue were calculated automatically. All SUVs were estimated based on injected dose and body weight. Patients who had minimal BPE and SUVmean values of more than 1.0 were classified as the high metabolic group, patients who had moderate or marked BPE and SUVmean values of less than 1.0 were classified as the low metabolic group, and others were classified as the average metabolic group. We compared the clinical and pathologic characteristics of these groups.
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2

Quantitative PET/CT Metabolic Parameters

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Two experienced nuclear medicine physicians reviewed all of PET/CT images on a dedicated workstation (GE Advantage Workstation 4.4; GE Healthcare). We measured the various PET parameters of all malignant hypermetabolic lesions, including lung and lymph nodes. Automatic volume of interest (VOI) using an isocontour threshold method based on SUV was used to calculate various metabolic PET parameters including SUVmax, average SUV (SUVavg), MTV, and TLG for each hypermetabolic lesion. The SUVmax was defined as the voxel with the highest count within the region of interest. Fixed SUV value of 2.5 was used to define VOI boundaries. MTVs were automatically calculated by summing the total volumes of voxels in the VOI. TLG was calculated by multiplying the SUVavg by the MTV of each hypermetabolic lesion.
We recorded the SUVmax of the highest metabolic lesion when multiple lesions were evident. MTVsum and TLGsum represent the sums of the MTV and TLG values, respectively, of all malignant lesions.
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3

Measuring Lung Lesion PET Parameters

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The measurement of PET parameters was performed using a dedicated workstation (GE Advantage Workstation 4.4; GE Healthcare). We measured the various PET parameters of the primary lung lesion. Volume viewer software, which represents the volume of interest (VOI) automatically delimited by an isocontour threshold method based on the SUV, was used to calculate metabolic parameters including SUVmax, average SUV (SUVavg), MTV and TLG. The SUVmax was defined as the voxel with the highest count within the VOI. Fixed SUV values (1.5, 2.0, 2.5 and 3.0) were used to define VOI boundaries. MTVs were automatically calculated by summing the total volumes of voxels with threshold SUVs of 1.5, 2.0, 2.5 and 3.0 in the VOI, respectively. TLG was calculated by multiplying the SUVavg by the MTV.
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4

FDG PET/CT Analysis of Lymphoma Lesions

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FDG PET/CT images were analyzed by two experienced nuclear medicine physicians on a dedicated GE Advantage workstation 4.4 (GE Healthcare). From transaxial PET tomographs of the torso, a SUV threshold-based isocontour method was used to depict the boundaries of each lymphoma lesion. The volumes of interest (VOIs) were automatically drawn around each lymphoma lesion by applying a 41% threshold of the local SUVmax. Volumes were manually edited to remove physiological activity including that of the brain, heart, liver, kidney, and bladder. Mild diffuse bone marrow uptake consistent with reactive hyperplasia was not included. The metabolic tumor volume (MTV) was the summed volume (ml) of voxels with FDG uptake exceeding the threshold. TLG was the sum of the product of MTV and average SUV (SUVave) of all lesions. Our analyses focused on TLG that represents the total quantity of glycolytic tumor tissue rather than MTV that is simply its volume.
Brain FDG uptake was measured from transaxial PET tomographs with the orbitomeatal line as a reference. Volumes of interest (VOIs) were manually placed over bilateral frontal and temporal lobes, and boundaries of cerebral cortices were defined as 40% of maximum activity (Fig. 3a). From these VOIs, SUVave of the frontal and temporal cortices was measured.
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5

Diffusion-weighted MRI for Spinal Nerve Evaluation

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After transferring DWI data to GE advantage workstation 4.4 (GE Healthcare), circular regions of interest (ROIs) were placed in anatomical locations on the most significant levels for spinal disorders, by using b = 0 and b = 1000 images. The mean values from the ROI were measured in each nerve root (Fig. 2). To assess inter-observer variability, two neuroradiologists, each with more than 5 years of experience (7 and 8 years of experience, respectively), independently reviewed the initial and repeat MRI datasets. For both datasets, each rater was instructed to select the image slices that provided maximal transverse cross-sectional area of each nerve root to be measured. ADC was calculated from the mean value of the appropriate ROI using the following formula: ADC = (SIb = 1000 - SIb = 0) / 1000 (SIb = 1000, SIb = 0: mean value in ROI, respectively, indicates b = 1000 and b = 0). The index of the involved side to the intact side of ADC (ADC index) was calculated using the following formula: ADC index = ([ADC involved side - ADC intact side] / ADC intact side) × 100.
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6

Musculoskeletal Imaging Techniques: DWI and MT

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Two radiologists with rich experience in the diagnosis of musculoskeletal system imaging read the films. a) DWI: The images were transferred to a GE Advantage Workstation 4.6 to generate ADC images using the MADC calculation. The images with b=800 s/mm2 and T2WI images were registered (Fig.1a). The ROI was placed at the largest level of the lesion on the image after registration. The ROI area was about 15-30 mm2. The ADC values of the edema area, sclerosis area (Fig.1b), fat deposit area, and normal-appearing bone marrow were recorded as ADC(BME), ADC (sclerosis), ADC (fat deposit) and ADC(NABM), respectively.
b) MT: The viewer function in the GE Advantage Workstation 4.6 was used to analyze the image before applying the pre-saturation pulse (M0) (Fig.1c) and the image after applying the pre-saturation pulse (Ms) (Fig.1d). The ROI was placed in the same place as the ventral articular cartilage in the anterior lower part of the bilateral SIJ. The area was 1-3 mm2. The signal intensity of the articular cartilage of the SIJ at the same layer was measured before and after applying the pre-saturation pulse. According to the MTR formula, the magnetization transfer rate of the cartilage (MTRc) was calculated: MTR=(M0-Ms)/M0×100%.
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7

Quantifying Iodine and Blood Density in Cardiac CT

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Reconstructed images using 140 kVp mixed energy and 70 keV single energy were transferred to a GE Advantage Workstation 4.6 (GE Healthcare). Image densities in the regions of the normal LV cavity and papillary muscles were visually observed. In the GSI viewer software, iodine and blood were chosen as the base material pair. Then, in the generated isolated images of iodine- and blood-based density, the densities in the regions of the normal LV cavity and papillary muscles were simultaneously compared with visual observations. Subsequently, a scanning slice showing the clearest images and maximum papillary muscles was selected, and a ROI with a size of 3 mm × 3 mm was set in the regions of the papillary muscles and within the normal LV cavity for the same slice, respectively. Iodine and blood densities at these ROIs were qualitatively measured, based on the respective isolated images of iodine- and blood-based density. Five ROIs were set for each slice in the LV cavity and papillary muscles, respectively, and the measurements were repeated in three different slices. The mean results were used for statistical analysis.
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8

Dual-Energy CT Imaging Protocol

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All patients were scanned with the same 64-section dual-energy scanner (GE Discovery CT750HD; GE Healthcare, Milwaukee, WI). Scans were obtained at 25, 55, and 85 s after injection of 100 mL of iopamidol at 3.5 mL/s. The 25 and 55 s acquisitions were acquired in dual-energy rapid 80–140-kVp switching mode using the gemstone spectral imaging protocol [13 (link)]. These were acquired with a GSI preset 1, with a large scan field of view (up to 50 cm), 40-mm beam collimation, 0.6-second rotation time, and 0.984:1 helical pitch, resulting in a maximal tube current of approximately 640 mA. Images were reconstructed into 1.25 mm sections with 25-cm display field of view and 512 × 512 matrix. 70 keV VMIs, the VMI believed to simulate the standard 120 kVp single energy acquisition by extrapolation from abdominal CT studies, were reconstructed and transferred to PACS for interpretation. Source spectral images were transferred to a dedicated workstation (GE Advantage workstation 4.6; GE Healthcare, Milwaukee, WI) where virtual unenhanced image reconstruction or more advanced spectral analysis could be performed.
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9

Tumor Volumetry and Densitometry Analysis

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Volumetric and densitometry measurements were obtained at baseline and at each follow-up CT scan using a dedicated GE Advantage Workstation 4.6 (GE Healthcare, Inc., Waukesha, WI, USA). Volumetric assessment was performed on late arterial phase by manually tracing the lesion margins on each axial slice, with automatic calculation of the total tumor volume, (TTV) (cm3) by the software. The same workstation was used to obtain densitometry measurements by tracing a region of interest (ROI) within the lesion in unenhanced and each post-contrastographic scans. A tumor vascularization index (TVI) was defined by the difference between the average density measured in Hounsfield units (HUs) during the arterial phase in the tumor mass and in non-tumor liver.
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