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Ge revolution evo

Manufactured by GE Healthcare
Sourced in Japan, United States

The GE Revolution EVO is a computed tomography (CT) imaging system designed for use in healthcare settings. It is capable of acquiring high-quality images to support diagnostic and treatment planning processes. The system's core function is to provide advanced imaging capabilities that can assist healthcare professionals in their clinical practice.

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12 protocols using ge revolution evo

1

Multidetector CT Scanner Calibration Protocol

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CT was performed using seven multidetector CT scanners (Siemens Somatom Definition Edge, Definition Flash, and Force, Siemens Healthineers, Erlangen, Germany; Philips Brilliance 64 and Brilliance 16, Philips Healthcare, Best, Netherlands; Canon Aquilion One, Canon Medical Systems, Otawara, Japan; GE Revolution EVO, Madison, WI, GE Healthcare). CT was performed using a peak tube voltage of 120 kVp, a slice thickness of 2.0–5.0 mm, and adaptive tube current in helical mode. CT scans were performed using a bone kernel or a soft tissue kernel depending on the imaging purpose. All CT machines were calibrated daily with external air. The HU value of air should remain relatively constant, but it can vary slightly depending on factors such as temperature and humidity. Therefore, a calibration process is performed by conducting a scan using only air, without any specific object or phantom inside the CT bore, to adjust the HU value. Two-dimensional reconstructions were acquired in the coronal and/or sagittal planes with a bone or soft tissue kernel and a thickness of 2.0–5.0 mm.
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2

Paraspinal Muscle Attenuation in Older Adults

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Paraspinal CT measurements for each older adult undergoing treatment were obtained from their medical records from routine non-contrast CT of the chest. We used axial images localized to the twelfth thoracic vertebrae (T12) in CT image analyses in Osirix MD (Pixmeo, Bernex, Switzerland). We placed 2 cm2 ovoid ROIs in the erector spinae muscles bilaterally and the Hounsfield units (HU) were averaged to obtain erector spinae HU (see Figure 1). If the available erector spinae areas were <2 cm2, the largest available region of interest was used. Eight CT scans were non-contrast, and two had early arterial phase contrast. CT scanners used were GE Revolution HD (n = 4), GE Revolution EVO (n = 3), and GE Optima (n = 3) (GE Healthcare, Madison, WI) and all but 1 scan was conducted at the University of Wisconsin Health Hospital in Madison, WI.
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3

CT Image Quality Phantom Evaluation

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This experimental study utilized an ACR CT 464 phantom (Gammex Inc, USA), including four modules for measuring many image quality parameters. CT number linearity was measured on the first module, including five objects with different densities: polyethylene, bone-equivalent, air, acrylic, and solid water. The phantom was scanned by a 128-slice CT scanner (GE Revolution Evo, GE Healthcare, Waukesha, Wisconsin) with a tube voltage of 120 kV, slice thickness of 1.25 mm, pitch of 0.53, Field of View (FOV) of 235 mm, revolution time of 0.8 s, and various tube currents: 80, 100,120, 140, 160, and 200 mA. Tube currents were varied to obtain different image noise levels.
The schematic of the ACR CT phantom is depicted in Figure 1.
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4

High-Resolution CT Lung Imaging Protocol

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All patients underwent thin-section high-resolution CT scans. All CT examinations were performed with GE Revolution Evo CT scan (GE Healthcare, Milwaukee, WI) without the use of an intravenous agent. All scans were performed with patients in the supine position during end-inspiration. The CT parameters were as follows: 120 kV; automatic tube current, 10 to 240 mA; section thickness, 5 mm; interlayer spacing, 5 mm; and scanning time, less than 5 seconds. Reconstruction was performed with a thickness of 1.25 mm.
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5

COVID-19 Lung Severity Scoring through CT

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COVID-19 positive patients underwent a chest CT scan to determine the pulmonary involvement. The acquisitions were obtained on a 128-slice CT (GE Revolution EVO, GE Medical Systems, Milwaukee, WI, USA). Lung impairment was evaluated through a Lung Severity Score (LSS) calculated through visual assessment by two expert radiologists in consensus (DC and MZ with 10 and 5 years of experience respectively) ranging from 0 to 40 (Fig. 1A–B) [17 (link)]. Briefly, each lung was divided in 10 regions as already described [18 ], and for each region a visual score of parenchymal involvement was assigned (ground-glass opacities and consolidation), with a score 0 for absence, 1 for <50% and 2 for >50% lung involvement.

Pulmonary involvement and fat analysis in a chest CT scan of a COVID-19 patient. (A–B) Ground glass opacities can be seen peripherally in the lower lobes, typical radiological pattern of COVID-19; (C) the first slice where lung bases are no more visible at the thoracoabdominal level where visceral adipose tissue (VAT), and total adipose tissue (TAT) are quantified: fat is identified in green. Subcutaneous adipose tissue was calculated by subtraction. (D) Histogram analysis of CT numbers, with a range of CT numbers classified as fat was −50 to −250.

Fig. 1
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6

Standardized Coronary CT Angiography Protocol

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All CCTAs were performed in a cranio-caudal direction during end-inspiration, with retrospective ECG-gating, on a 128-slice CT scanner (GE Revolution EVO, GE Medical Systems, Milwaukee, WI). The following parameters were applied: detector collimation width of 0.625 mm, gantry rotation time of 0.6 s, spiral pitch automatically adjusted on heart rate and ranging from 0.16 to 0.30, and matrix of 512 × 512 pixels. Tube voltage and tube current modulation were fixed according to patient’s body mass index (BMI): 80 kV and 150 mA for patients with BMI < 30, 100 kV and 200 mA for patients with BMI > 30.
A fixed amount (50 mL) of non-ionic high-iodine concentration contrast medium (400 mgI/mL iomeprol, Iomeron 400; Bracco Imaging, Italy) was intravenously injected at a fixed flow rate of 5 mL/s through an 18-gauge antecubital access, by using an automated triple-syringe power injector (MEDRAD® Centargo CT Injection System; Bayer AG, Berlin, Germany), followed by saline chaser bolus of 40 mL at the same flow rate. Scan delay was determined using a bolus-tracking software program (SmartPrep, GE Healthcare): CCTA acquisition started after automatic minimum diagnostic delay as soon as the trigger attenuation threshold (100 HU) was reached into a region-of-interest (ROI) placed in the ascending aorta at the level of pulmonary arteries.
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7

Multimodal Neuroimaging of Glucose Metabolism

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Glucose metabolism was measured using [18 F]-fluorodeoxyglucose, collected on a Siemens Biograph Vision 600 PET/CT scanner (Siemens Medical Solution). Resting state scans were acquired at the same 4 time points using a standardized eyes closed protocol (10 mCi dose/scan, 30 minutes uptake period without arterial blood sampling, matrix size=440 × 440, and numbers of slice=88). A low-dose CT scan was performed for attenuation correction.
A high-resolution T1-weighted structural image was acquired on a 3 T GE SIGNA Architect (GE Healthcare) using the following sequence: axial slice orientation, slice thickness=1.2 mm, in-plane Resolution = 0.6 mm × 0.6 mm, matrix=256 × 256, TR = 8.432 ms, inversion time (TI) = 1100 ms, echo time (TE) = 3.188 ms, and flip angle=8°. Postsurgical high-resolution CT scan was also acquired on a GE Revolution EVO (GE Healthcare) with a resolution of 0.625 × 0.625 × 0.625 mm3 to localize the DBS leads.
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8

Retrospective Lung Nodule CT Analysis

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This retrospective study was approved by the Institutional Review Board of our institution. The requirement for informed consent was waived due to the anonymous and retrospective nature of the study. Electronic health records were searched for all non-contrast CT chest radiology reports from 11/13/2012 to 10/12/2021 using the regular expression “nodule”. Regular expressions were then used to identify reported nodules measuring between 10 and 30 mm. Of the 11,290 non-contrast studies that had the stem keyword “nodule” in the radiology report, only 694 consecutive studies had reported nodules >10 mm, and 637 of those had complete reconstructed coronal and sagittal images (Figure 1). For exams without lung nodules, 40 consecutive patients were selected from the database, taking care not to overlap with other training, validation, and test images. Images were all obtained from multislice CT scanners across multiple sites with the following models: GE Revolution EVO, GE LightSpeed VCT, GE Discovery CT750 HD, GE Optima CT660 (GE Healthcare, Waukesha, Wis). For this retrospective study, no specific imaging protocol was used, and all CT studies were acquired helically with 120 Kv and variable mAs. Studies were extracted and anonymized from the PACS system using a scripted method (SikuliX) [21 (link)].
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9

Contrast-Enhanced Staging CT Protocol

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All patients underwent a contrast-enhanced CT scan covering the cervical region, the chest, abdomen, and pelvis. Most of the scans were performed at the *institute* (n = 26) using one of the following multi-detector CT scanners: Discovery HD 750, GE Healthcare (n = 23) or GE Revolution Evo, GE Healthcare (n = 3). Four CT examinations were provided by small nearby centers (one from *city*, GE Revolution Evo; two from *city*, Siemens Definition 128; and one from *city*, Siemens Somatom Go All). Two CT scans were performed in private facilities in *city* (Siemens Power Scope 32).
A volume of 2 mL/kg of body weight of non-ionic contrast material (Xenetix 350; Iomeron 350) was injected into an antecubital vein. Chest images were obtained at an arterial phase 35 s after contrast material administration, and abdominal and pelvic images were obtained at a portal-venous phase (70 s).
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10

HRCT Scan Protocol for Lung Evaluation

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All HRCT scans were acquired with the same CT scanner (GE Revolution Evo, General Electric Healthcare). Both lung and standard reconstructions were obtained. CT protocol was set as follows: 120 kV, 80 mA (automatic exposure control employed), rotation time of 0.7 s, pitch of 1 mm, and detector collimation of 0.7 mm. The scanning range was from the thorax inlet to the posterior costal angle, with patient keeping breath hold at full inspiration. Lung reconstruction settings were: window width 1600 HU, window level-600 HU, slice thickness 1.25 mm, slice interval 1.25 mm, matrix 512 × 512; adaptive statistical iterative reconstruction (ASIR-V) set to 30% was used. Standard reconstruction settings were: window width 400 HU, window level 40 HU, slice thickness 2.5 mm, slice interval 2.5 mm, matrix 512 × 512, ASIR-V set to 60%.
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