Syngo multimodality workplace software
Syngo Multimodality Workplace software is a medical imaging software platform developed by Siemens. It provides a unified interface for viewing and analyzing images from various imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET).
5 protocols using syngo multimodality workplace software
Dual-Source CT Imaging of Pancreas
Standardized 18F-FDG PET/CT Imaging Protocol
acquired with the protocol described below. All of the baseline scans were
performed within the last 30 days prior to percutaneous ablation.
Patients were required to fast for 6 h prior to the injection of
18F-FDG, in order to achieve a blood glucose level below 140 mg/dL.
All patients received 18F-FDG at a dose of 7.77 MBq/kg (0.21 mCi/kg)
while resting in a dark, quiet room.
Whole-body PET/CT scans were acquired 60 min after 18F-FDG injection.
The images were acquired on a high-resolution imaging platform (Biograph
TruePoint; Siemens Medical Solutions, Knoxville, TN, USA) with lutetium
oxyorthosilicate crystal detectors, 16-slice CT detectors, and a spatial
resolution of 4.2 mm. The image post-processing was performed with Syngo
MultiModality Workplace software (Siemens Medical Solutions). The PET images
were acquired after the CT images (5 min per bed position). Images were
submitted to iterative reconstruction in the axial, coronal, and sagittal
planes, CT being used for attenuation correction. The maximum SUV
(SUVmax), was calculated for each lesion. Two experienced nuclear
medicine physicians and a radiologist analyzed the images. Discordant findings
were reviewed by a third experienced nuclear medicine physician.
Zirconium-89 PET/CT Imaging in Macaques
Quantifying Visceral Adiposity from CT Scans
Sarcopenia Prevalence in Gastric Cancer
Studies have shown that the median prevalence of sarcopenia in patients with gastric cancer is approximately 35.7% (14 (link)). Therefore, in this study, we used a median of 35.7% for grouping. In all the medical records collected, ≤ 35.7% of both sexes were classified as the sarcopenia group and >35.7% as the non-sarcopenia group. A data collection flowchart is presented in
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