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Myovation software

Manufactured by GE Healthcare
Sourced in United States

Myovation software is a product developed by GE Healthcare to support the management and analysis of medical imaging data. The software provides tools for organizing, visualizing, and processing medical images, such as those obtained from CT, MRI, and other imaging modalities. Myovation aims to enhance the workflow and productivity of healthcare professionals in their clinical and research activities.

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4 protocols using myovation software

1

Multimodal Cardiac Imaging Evaluation

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Perfusion SPECT and FDG-PET which were performed on the same day were evaluated simultaneously on the consensus of two independent nuclear medicine physicians. Static tomographic images and polar maps were normalized to their maximum and used for visual analysis of regional perfusion/metabolism patterns using the American Heart Association 17-segment model. The perfusion defect area was quantified on polar maps according to a method described previously [2 (link)].Visual classification was performed for normal, matched defect, or mismatch segments. Segments with decreased uptake on perfusion SPECT were visually defined as matched defect segments if FDG uptake was consistent with the decrease on PET. Segments with decreased uptake on perfusion SPECT were defined as mismatched segments if FDG uptake was not consistent with the decrease on PET. SPECT and FDG-PET analysis was managed by Myovation software (GE Medical system, Milwaukee, WI, USA).
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2

Quantitative SPECT Myocardial Perfusion Imaging

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201Tl SPECT MPI were reconstructed by OSEM (ordered subsets‐expectation maximization) reconstruction and defined the central of left ventricular (LV) axis and selected myocardium for the reconstruction of short‐axis views, long‐axis vertical views and long‐axis horizontal views of the LV in Myovation software (GE Healthcare, Xeleris 4.0 workstation). The SPECT MPI images underwent a comprehensive quantitative analysis using the state‐of‐the‐art QGS/QPS software (QGS/QPS; Cedars‐Sinai Medical Center). The WM, WT, end‐diastolic perfusion (EDP), and end‐systolic perfusion (ESP) were calculated by using QGS. SPECT images were displayed in the 20‐segment model of the AHA.
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3

Cardiac PET/CT Imaging Protocol

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After Tc-99m sestamibi myocardial perfusion SPECT, 18F-FDG cardiac PET/CT (FDG-PET) was performed. Imaging was performed on a Discovery PET/CT Elite (Discovery NM 690; GE medical system, Milwaukee, WI, USA). Preparation was performed using simplified glucose/insulin loading (20 g dextrose intravenously with simultaneous and subcutaneous insulin to adjust blood glucose to 5 mmol/l [17 (link), 23 (link)]). PET/CT acquisitions for the heart were started at 40 min after the injection of 18F-FDG 74–111 MBq/pig. CT images were acquired using parameters with a peak voltage of 140 keV, a tube current of 20 mA × 16 s, a rotation time of 1.0 s, a field of view of 50 cm, and slice thickness of 3.75 mm. Immediately following the CT acquisition, the PET data were acquired in the same anatomic locations in the 2D mode with acquisition times of 10 min. The CT data were used for attenuation correction and the images were reconstructed using a conventional iterative algorithm (OSEM). A Xeleris workstation with Myovation software (GE medical system, Milwaukee, WI, USA) providing multiplanar reformatted images was used for image display and analysis.
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4

Quantification of Myocardial Perfusion

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Images were reconstructed using a filtered back-projection algorithm and were resliced in short axis and in vertical and horizontal long-axis orientation. The summed stress score, summed rest score, and summed difference score were calculated (20-segment scoring); A scan was considered normal if the summed stress score was < 4.13 (link) As previously reported,18 (link),21 ,22 (link) absolute myocardial perfusion was quantified through HeartSee software (University of Texas-Houston, Houston, Texas, FDA 150(k) K171303). The software used arterial inputs personalized for each PET from among five aortic and left atrium locations and automatically calculated absolute myocardial perfusion. MBF (mL/min/g) was analyzed for the global left ventricle. MFR was calculated as the ratio of stress to rest (absolute) MBF for the left ventricle. Hyperemic MBF < 2.3 mL/min/g or MFR < 2.5 was considered indicative of CMD according to previous studies.23 (link)–26 (link) Left ventricle ejection fraction (LVEF) was automatically calculated through Myovation software (GE Healthcare, Xeleris) based on PET-gated data.
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