Because the CT data in this study were collected over a long period, various CT techniques were used. CT scans were obtained using 4-channel (Lightspeed Qx/i, GE Healthcare, Milwaukee, WI, USA; n = 2), 16-channel (Lightspeed 16, GE Healthcare or Sensation 16, Siemens Healthineers, Erlangen, Germany; n = 1611), 64-channel (Definition AS, Siemens Healthineers; n = 564), and 128-channel (Definition Flash, Siemens Healthineers; n = 41) scanners. Non-enhanced CT images were obtained at beam collimations of 4 × 2.5 mm (Lightspeed Qx/i), 8 × 2.5 mm (Lightspeed 16), 16 × 1.5 mm (Sensation 16), 24 × 1.2 mm (Definition AS), and 64 × 0.6 mm (Definition Flash); at a spiral pitch of 1 to 1.5; at tube voltages of 120 kVp (n = 1672) and 100 kVp (n = 546); and at tube currents of 200 mAs (GE scanners) or variable mAs (Siemens scanners) with an automatic exposure control (Care Dose 4D, Siemens Healthineers; maximum effective dose, 200 mAs). Axial images were reconstructed at section thicknesses of 3 mm (n = 45) and 5 mm (n = 2173), with no gaps. The mean interval between CT and liver biopsy was 0.4 ± 0.7 days (range, 0–3 days), with 1710 (74.8%) subjects undergoing CT scanning and liver biopsy on the same day.
Lightspeed qx i
Manufactured by GE Healthcare
Sourced in United States, Germany
The LightSpeed QX/i is a computed tomography (CT) imaging system designed for medical diagnostic use. It captures high-quality cross-sectional images of the human body. The system utilizes advanced X-ray technology to generate detailed visualizations of internal structures, enabling healthcare professionals to diagnose and monitor various medical conditions.
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Lab products found in correlation
Lightspeed vct, by GE Healthcare (3 mentions)
Lightspeed 16, by GE Healthcare (2 mentions)
Brilliance 40, by Philips (2 mentions)
Lightspeed ultra, by GE Healthcare (2 mentions)
Care dose 4d, by Siemens (1 mentions)
Definition flash, by Siemens (1 mentions)
Sensation 16, by Siemens (1 mentions)
Definition as, by Siemens (1 mentions)
Sensation 16, by GE Healthcare (1 mentions)
Definition as, by GE Healthcare (1 mentions)
Sensation cardiac 64, by Siemens (1 mentions)
3t magnetom trio, by Siemens (1 mentions)
Discovery mr750 3.0t, by GE Healthcare (1 mentions)
Hispeed, by GE Healthcare (1 mentions)
Gd dtpa, by GE Healthcare (1 mentions)
Hispeed lx, by GE Healthcare (1 mentions)
Aquilion one, by Toshiba (1 mentions)
Somatom sensation 64, by Siemens (1 mentions)
Ultravist 300, by Bayer (1 mentions)
Somatom sensation 16, by Siemens (1 mentions)
28 protocols using lightspeed qx i
1
Multi-Modal CT Imaging Protocol for Liver Biopsy
2
Diagnostic Protocol for Acute Pulmonary Embolism
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APE was confirmed by demonstrating the presence of contrast filling defects in pulmonary arteries on helical computed tomographic pulmonary angiography (CTPA). CTPA images were obtained with a commercially available helical CT scanner (Sensation Cardiac 64, Siemens Medical Systems, Erlangen, Germany; Light Speed QX/I, GE Medical systems, Milwaukee, WI, USA) according to the standardized APE protocol of our institution. The APE protocol requires injection of contrast material at rates of 4 mL/sec, total 70 to 80 mL of contrast agents, a section thickness of 3 mm or less, and the use of bolus tracking software for optimal opacification of pulmonary arteries.
Acute myocardial infarction (MI) was diagnosed according to the consensus document of the Joint European Society of Cardiology/American College of Cardiology Foundation/American Heart Association/World Heart Federation Task Force for the Universal Definition of Myocardial Infarction [14 (link)]. Acute NSTEMI was defined as acute MI without ST segment elevation on electrocardiography at presentation. Infarct-related arteries were identified using a combination of electrocardiographic findings, left ventricular (LV) wall motion abnormalities on echocardiography, and coronary angiographic findings.
Acute myocardial infarction (MI) was diagnosed according to the consensus document of the Joint European Society of Cardiology/American College of Cardiology Foundation/American Heart Association/World Heart Federation Task Force for the Universal Definition of Myocardial Infarction [14 (link)]. Acute NSTEMI was defined as acute MI without ST segment elevation on electrocardiography at presentation. Infarct-related arteries were identified using a combination of electrocardiographic findings, left ventricular (LV) wall motion abnormalities on echocardiography, and coronary angiographic findings.
3
Quantifying Lung Tissue Composition
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CTs were obtained at 0 cmH2O of airway pressure with the following settings: collimation, 5 mm; interval, 5 mm; bed speed, 15 mm/s; voltage, 140 kV; and current 240 mA (Lightspeed QXi, GE Healthcare, Madison, WI, USA). Quality controls were performed every month using standard phantoms.
Experienced operators manually countered the lung profile excluding proximal airways, large vessels and lymph nodes, mediastinum, muscles and bones and pleural effusions (Maluna 3.15, University Hospital of Goettingen, Germany).
For each voxel of interest, tissue weight was
Voxel density was expressed in Hounsfield units (HU), with values of −1,000, 0 and +1,000 HU assigned to air, lung tissue (including parenchyma, blood and water) and bone, respectively. Voxel volume was 1.8 mm3.
Lung tissue weight was the sum of the weight of all selected voxels [5 (link)].
Experienced operators manually countered the lung profile excluding proximal airways, large vessels and lymph nodes, mediastinum, muscles and bones and pleural effusions (Maluna 3.15, University Hospital of Goettingen, Germany).
For each voxel of interest, tissue weight was
Voxel density was expressed in Hounsfield units (HU), with values of −1,000, 0 and +1,000 HU assigned to air, lung tissue (including parenchyma, blood and water) and bone, respectively. Voxel volume was 1.8 mm3.
Lung tissue weight was the sum of the weight of all selected voxels [5 (link)].
4
Multidetector CT for Vascular Imaging
5
Multimodal Imaging of Glioblastoma
6
Emphysema Assessment through CT Imaging
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The details of the CT database are available elsewhere [25 , 26 (link)]. CT images of 39 subjects (9 never smokers, 10 smokers without COPD, and 20 smokers with COPD) were obtained from the database. The CT examinations were performed using four-detector rows CT scanner (LightSpeed QX/i; General Electric Medical Systems, Milwaukee, WI, USA). The following parameters were used: in-plane resolution, 0.78 × 0.78 mm; slice thickness, 1.25 mm; tube voltage, 140 kV; and tube current-time product, 200 mAs. The CT images were reconstructed using a high-spatial-resolution algorithm. The database provided 115 high-resolution CT slices. The severity of emphysema for each of the 115 slices was assessed as visual score by an experienced chest radiologist and a CT experienced pulmonologist. The score criteria were as follows: 0, no emphysema; 1, minimal; 2, mild; 3, moderate; 4, severe; and 5, very severe emphysema. A consensus was reached in case of any disagreement. Representative CT images of the database are shown in Fig 1 . Summary of visual score in the 115 CT slices is shown in Fig 2 .
7
Imaging Protocol for Postoperative Tumor Surveillance
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Upper abdominal contrast-enhanced CT or MRI scans were carried out every month for the first 3 months post-operatively. If no tumor residue or tumor recurrence was detected, a re-examination was carried out every 3-6 months (CT: HiSpeed or LightSpeed QX/i, GE Medical Systems; Milwaukee, WI; contrast agent: Ultravist 300 [injection speed was fixed as 3ml/s]; Schering, Berlin, Germany; MRI: Discovery MR750 3.0T; GE Medical Systems; contrast agent: Gd-DTPA [injection speed was fixed to 3ml/s]; GE Healthcare, IDA Business Park Carrigtohill, Ireland).
8
3D Reconstruction from Spiral CT Scans
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CT scans were obtained using a spiral CT scanner (Light Speed QX/I, GE Medical Systems, Milwaukee, WI, USA) with a 512×512 matrix (120 kV, 200 mA, and a gantry angle of zero). The axial image thickness was 2.5 mm, the table speed was 3 mm/sec, and the scanning time was 0.8 sec. Digital imaging and communication in medicine images were created at a slice thickness of 1.0 mm. The acquired data from these images were input into a personal computer, and the CT data were used to construct 3D images with the software Vworks+Vsurgery (Cybermed, Seoul, Korea).
9
Canine Tarsal Joint Density Assessment via CT
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Under general anaesthesia, computer tomographic (CT) images were acquired from the tarsal joints using a 4 slice helical CT scanner (Lightspeed Qx/i, General Electric Medical Systems, Milwaukee, WI). The CT parameters were 120 kVp and 300 mAs. Contiguous, 1,25 mm collimated, transverse images were obtained in a soft tissue reconstruction algorithm. Dogs were positioned in ventral recumbency and left and right tarsal joints were scanned simultaneously, with the tarsal joints in extension, according to patient protocol [14 (link)]. A calibration phantom (Bone Density Calibration Phantom, QRM GmbH, Germany) was placed between the scanning table and the tarsal joints as a density reference standard. Based on the calibration phantom, the Hounsfield Units (HU) in the final measurements were converted to mg hydroxyapatite (HA)/cm3. The use of a calibration phantom reduces the inter-scan variability [15 (link)] and can be used to convert the apparent density measures to absolute values.
Correct positioning was confirmed on the laterolateral and dorsoplantar scout view. Acquisition time was approximately five minutes, including repositioning after CT examination of the elbow joints.
Correct positioning was confirmed on the laterolateral and dorsoplantar scout view. Acquisition time was approximately five minutes, including repositioning after CT examination of the elbow joints.
10
3D Craniofacial Landmark Identification
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CT scans were obtained using a spiral CT scanner (Light Speed QX/I, GE Medical Systems, Milwaukee, WI) with the following specifications: 512×512 matrix, 120kV, 200 mA, and gantry angle of 0°. The axial image thickness was 2.5 mm, table speed was 3 mm/s, and scanning time was 0.8 s. Digital imaging and communications in medicine (DICOM) images were created with a slice thickness of 1.0 mm. The acquired DICOM data were input into a personal computer. Using CT data, we reconstructed the 3D images with Vworks 4.0+Vsurgery (Cybermed, Seoul, Korea). A surface-rendered model was prepared, and the landmarks were defined on the surface-rendered model in Vworks 4.0 by an oral and maxillofacial radiologist.
A multiplanar reformatted image, volumetric model, and surface-rendered model of a CT scan, which were completely interfaced with each other using software, were constructed on Vworks 4.0. The landmarks were defined on the volumetric model with the guidance of the multiplanar reformatted image.
A multiplanar reformatted image, volumetric model, and surface-rendered model of a CT scan, which were completely interfaced with each other using software, were constructed on Vworks 4.0. The landmarks were defined on the volumetric model with the guidance of the multiplanar reformatted image.
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