The CCTA data was collected for all patients using 64 rows, and CCTA images were collected by scanning machines from four different CT manufacturers (Siemens, Somatom Flash, Definition Flash, Somatom Definition FlashAS+, Force; GE Discovery CT 750 HD, Light Speed VCT; Toshiba, Aquilion One Vision; Philips BrillianceiCT 256). The patients took nitroglycerin sublingually to dilate the coronary arteries five minutes before the CCTA examination. For patients with a fast heart rate, they can consider taking oral p-blockers (25–75 mg) before the examination according to the doctor's recommendation. The CT scan range was determined according to location phase, which was from tracheal protrusion to lower edge of the heart. All patients received adaptive sequence acquisition triggered by prospective electrocardiogram.
Discovery ct 750 hd
Manufactured by Toshiba
The Discovery CT 750 HD is a high-definition computed tomography (CT) system developed by Toshiba. It is designed to provide detailed, high-quality imaging for a variety of clinical applications.
Automatically generated - may contain errors
3 protocols using discovery ct 750 hd
1
Coronary CT Angiography with Detailed Imaging
2
Radiomics Analysis of Contrast-Enhanced CT
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All subjects underwent preoperative contrast-enhanced CT examination by the multi-slice spiral CT scanners of GE Discovery CT 750 HD and TOSHIBA Aquilion One. The scanning parameters across different scanners or vendors always keep consistent as revealed in Appendix 1 .
An open-source software, ITK-SNAP (version 3.8.0) was utilized to perform images segmentation. Two thoracic radiologists (M.X.L. and Z.W., with 8 and 3 years of experience) manually delineated the boundaries of tumors as region of interests on axial CT images in lung window (width, 1,500 HU; level, −500 HU) slice-by-slice independently without the knowledge of the baseline characteristics. Each region of interest was drawn close to but not beyond the boundaries of tumors as far as possible, avoiding bronchus, vessels and necrosis in tumors. The radiomics feature extraction from the arterial phase (30 s after contrast agent injection) images was conducted with a free open-source package of PyRadiomic (available athttps://pyradiomics.readthedocs.io/en/latest/index.html ) implemented in platform of Python (version 3.6.2), which is a popular programming language for scientific computation based on robust ecosystem and could be available on any system (22 (link)).
An open-source software, ITK-SNAP (version 3.8.0) was utilized to perform images segmentation. Two thoracic radiologists (M.X.L. and Z.W., with 8 and 3 years of experience) manually delineated the boundaries of tumors as region of interests on axial CT images in lung window (width, 1,500 HU; level, −500 HU) slice-by-slice independently without the knowledge of the baseline characteristics. Each region of interest was drawn close to but not beyond the boundaries of tumors as far as possible, avoiding bronchus, vessels and necrosis in tumors. The radiomics feature extraction from the arterial phase (30 s after contrast agent injection) images was conducted with a free open-source package of PyRadiomic (available at
3
Contrast-Enhanced CT Imaging Protocol
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CT scans were performed on Siemens (SOMATOM Force, 192-section dual-source CT), GE (Discovery CT 750 HD, 64 multidetector CT system), Toshiba (Aquilion One, 320 slice) and Philips (Brilliance iCT, 256 slice) systems. The patients were maintained in the supine position, their arms were raised, and they held breath after deep inhalation for acquisition. The scan parameters were as follows: 120 kVp, 100-200 mA, 350 mm×350 mm field of view, and matrix of 512 × 512. Venous-phase contrast-enhanced CT was performed after a 30−40 s delay following the intravenous administration of 70−90 mL of nonionic contrast-enhanced medium (Iproamine ) and 35-45 mL of normal saline at a rate of 2.5−3.0 mL/s with a power injector. Images were retrieved separately from the Picture Archiving and Communication System (PACS) (IMPAX, AGFA, Belgium).
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