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Lightspeed ct scanner

Manufactured by GE Healthcare
Sourced in United States

The Lightspeed CT scanner is a medical imaging device manufactured by GE Healthcare. The core function of the Lightspeed CT scanner is to capture high-quality, cross-sectional images of the human body using computed tomography (CT) technology.

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15 protocols using lightspeed ct scanner

1

RapidArc Treatment for Low-Risk Prostate Cancer

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Ten low-risk prostate cancer cases treated with RapidArc technique were included in this study. All patients were treated at West Hills Radiation Therapy Center, Vantage Oncology, California, USA, and this study was approved by the Research and Ethical Committee of the institution. Patients were immobilized in a Vac-Lok system (CIVCO Medical Solutions, Kalona, Iowa) and all patients were instructed to maintain a full bladder during CT simulation process. The CT scans were acquired with 512 × 512 pixels at 0.25 cm slice using General Electric light speed CT scanner (GE Health-care, Milwaukee, WI). The clinical target volume (CTV) comprised of prostate and proximal seminal vesicles as well as organs at risks (OARs) such as rectum, bladder, and femoral heads were delineated on the axial CT images in the Eclipse treatment planning system (TPS) (Varian Medical Systems, Palo Alto, CA). The planning target volume (PTV) was created from the CTV by a uniform expansion of 5 mm in all directions.
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2

4D CT Imaging with Respiratory Gating

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4D images from the GE Lightspeed CT scanner were also analyzed with Average Intensity Projection (AIP) and Maximum Intensity Projection (MIP). 4D CT scans were done with phase sorting from Varian Real-time Position Management (RPM) with a sinusoidal phantom oscillation cycle. AIP is a set of CT images with average intensity (HU signals) of the pixel at the same location after sorting; MIP is a set of composite CT images with maximum intensity (HU signals) of the pixel at the same location after sorting.
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3

Asbestos-Related Disease CT Scans

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All CT scans were performed prior to this study as part of regular patient care at the CARD clinic. All subjects used in this study had signed consent forms for research as part of an approved IRB protocol. Tests were either low-dose lung cancer screening CT scans, or high-resolution images for evaluation of asbestos-related disease. Scans were performed at Cabinet Peaks Medical Center in Libby, Montana. Subjects were scanned in a prone position using a 16 slice GE Lightspeed CT scanner. Scans were read by a radiologist contracted with Cabinet Peaks Medical Center within 24 hours of the scan so that urgent findings could be immediately identified and addressed by medical staff. All images were also read by Dr. Brad Black at the CARD clinic for the presence of asbestos-related disease.
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4

SBRT for NSCLC: Retrospective Study

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Fourteen SBRT NSCLC cases previously treated with RapidArc at Arizona Center for Cancer Care were included in this retrospective study. During the CT scan of all 14 cases, patients were immobilized in a supine position on a GE LightSpeed CT scanner using wing board with an index bar, shoulder straps, and a knee roll. The CT images were acquired with 512 × 512 pixels at 0.25 cm slice spacing. The DICOM CT data were then electronically transferred to the Eclipse TPS for contouring and planning. The planning target volume (PTV) was created from a 5 mm wide isotropic expansion of the clinical target volume (CTV). The organs at risk (OARs), such as contralateral lung, ipsilateral lung excluding the PTV (ipsi‐lung), heart, and spinal cord, were delineated based on the axial CT images.
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5

Virtual Surgical Planning and 3D Printed Cutting Guides

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The virtual surgical planning and titanium cutting guide 3D printing proceeded as we previously reported [2 (link),10 (link)]. Briefly, DICOM data files obtained from maxillofacial computed tomography (CT, LightSpeed CT scanner, GE Healthcare, Hatfield, UK) or cone-beam computed tomography (CBCT, i-CAT, Imaging Sciences International, Hatfield, PA, USA) were imported into the ProPlan CMF software (Materialise, Leuven, Belgium). The osteotomy lines of the coronoidectomy and condylectomy were delineated virtually based on multiplanar (axial, coronal, and sagittal) and three-dimensional (3D) views of the lesion. The data set of the bony segments after the osteotomy was virtually imported into Geomagic Studio 2013 Software (Geomagic, Durham, NC, USA) to design the TiAI64V coronoidectomy guide and the condylectomy guide, which were fabricated using a titanium 3D printer (M2 cusing Mutilaser; CONCEPTLASER, Schwabhausen, Germany) (Figure 1A,B).
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6

Multimetastasis Radiotherapy Targeting Accuracy

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Thirty-four patients were studied. The patients were CT scanned with the GE LightSpeed CT scanner, with a slice thickness of 1.25 mm. Treatment plans for the multimetastasis patients were generated on an ABMP treatment planning system using single isocenter dynamic arcs. The isocenters were automatically determined by the treatment planning system, which were located at the geometric center of multiple tumors. The study procedure was the same as that of the phantom study: the patient was immobilized with a BrainLab mask on the treatment couch. After initial setup using the ExacTrac infrared photogrammetry guidance system, X-ray images were taken and the patient position was corrected with the X-ray imaging registrations. After correction, the patient was imaged with TrueBeam CBCT and ExacTrac X-ray imaging, respectively, and the image registrations of the 2 imaging modalities were compared.
In both phantom and patient studies, 6DOF online image registrations were performed and residual errors in the 3 translational directions (vertical, longitudinal, and lateral) and in the 3 rotational directions (rotation, pitch, and roll) were evaluated. In CBCT, the head protocol was used in the scan and bone window was used in the image registration. In ExacTrac imaging, 80 kV and 8 mAs were applied to the X-ray generator tubes and bony match was used in the image registration.
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7

4D-CT and CBCT Imaging for Radiotherapy

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For acquisition of the simulated radiotherapy planning scans (4D-CT), all patients were positioned supine with arms up on a wing board and immobilised using a commercial immobilisation system (Combifix). Patients were instructed to breathe normally and abdominal compression was not used. The Varian Respiratory Position Management (RPM) system was used to generate a surrogate respiration signal from a marker block placed on the patient’s chest. For each patient, 1.25 mm slice thickness 4D-CT images (120kV 100mA) were acquired on a GE Lightspeed CT scanner (Chicago, Illinois). The images were phase-sorted into ten bins of equal time using the surrogate respiration signal from the Varian RPM. The AVE-IP data set was then primarily used for analysis. Following this, each patient was set-up in the same position, using reference skin marks and a three-point laser system on a TrueBeam linear accelerator (Varian Medical Systems, Palo Alto, CA). A free-breathing CBCT scan was acquired using the on-board imaging system (125 kV, 60 mA, 20 ms, 1080 mAs). The reconstructed image volume was 17 cm along the cranio-caudal axis and 45 cm in the axial plane. A reconstructed slice thickness of 2.5 mm was used. It is important to highlight that patients in this study did not undergo radiotherapy treatment.
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8

Standardized CT Tumor Segmentation

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CTs were acquired according to standardized scanning protocols at our institution using a GE “Lightspeed” CT scanner (GE Medical System, Milwaukee, WI, USA) for treatment planning. Tumor segmentation was performed on radiation therapy planning CTs using Eclipse software (Varian Medical System, Palo Alto, CA, USA). The primary tumor site and lymph nodes were contoured using both soft tissue and lung windows by the treating radiation oncologists. Air, vessels, normal tissue or surrounding organs were subsequently excluded from these contours, and then individually verified by an expert radiation oncologist. If a patient presented with more than one clinically positive nodal station, the union of all the stations was analyzed.
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9

Longitudinal Evaluation of Tuberculosis Progression

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CT scans were collected from sedated animals using a 16-slice Lightspeed CT scanner (General Electric Healthcare, Milwaukee, WI, USA) 6, 15, 18, 24 and 32 weeks after aerosol exposure to M. tb, as described previously [23 (link)]. Scans were evaluated by an expert thoracic radiologist blinded to the animal’s treatment and clinical status for the number and distribution across lung lobes of pulmonary lesions and the presence of extrapulmonary disease [17 (link)]. The disease burden attributable to infection with M. tb was scored using a relative scoring system based on the number of lesions present in lungs, spleen, liver, kidney and lymph nodes and the presence and extent of TB-induced structural abnormalities, as described previously [17 (link)].
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10

Computed Tomography Imaging of Tuberculosis

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Computed Tomography (CT) scans were performed on sedated animals at 3, 7, 11 and 15 weeks following infectious challenge (16 slice Lightspeed CT scanner, GE Healthcare, Milwaukee, WI, USA), as previously described (23 (link)). Niopam 300 (2ml/kg i.v., Bracco, Milan, Itay) was used as a contrast agent. An expert medical consultant radiologist with expertise in respiratory diseases, including in non-human primates assessed the scans blinded to the animals’ treatment and clinical status. The number and lobar distribution of pulmonary lesions and other pathological abnormalities including nodular conglomeration, cavitation, consolidation (associated with alveolar pneumonia), lobular collapse, and the ‘tree-in-bud’ pattern associated with bronchocentric pneumonia, were recorded. Upper airways were assessed for bronchocele and wall thickening. Other body tissues were scored for enlargement, necrosis, cavitation and extrapulmonary foci of infection: lung associated lymph nodes, liver, kidneys, and spleen. Findings were scored, and composite scores for tuberculosis disease burden (a relative score comprising the following factors; number of lesions, presence and extent of physiological changes (26 (link)) pneumonia (sum of consolidation & tree-in-bud morphology scores) and total CT score (the sum of scores attributed to each tissue) were calculated.
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