Feasibility study of using virtual non-contrast images derived from dual-energy CT to replace true non-contrast images in patients diagnosed with papillary thyroid carcinoma
Autor: | Hao Hu, Fei-Yun Wu, Jiang Zhou, Xiao-Quan Xu, Mei-Ping Shen, Ying-Qian Ge, Guo-Yi Su, Yan Zhou, Xin-Wei Tao |
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Rok vydání: | 2021 |
Předmět: |
Thyroid nodules
Image quality media_common.quotation_subject Contrast Media Sensitivity and Specificity 030218 nuclear medicine & medical imaging Thyroid carcinoma Radiography Dual-Energy Scanned Projection 03 medical and health sciences 0302 clinical medicine medicine.artery Image noise Medicine Contrast (vision) Humans Radiology Nuclear Medicine and imaging Thyroid Neoplasms Electrical and Electronic Engineering Instrumentation media_common Retrospective Studies Radiation business.industry Radiation dose musculoskeletal system Condensed Matter Physics medicine.disease Thyroid Cancer Papillary 030220 oncology & carcinogenesis Feasibility Studies Internal carotid artery Nuclear medicine business Tomography X-Ray Computed Calcification |
Zdroj: | Journal of X-ray science and technology. 29(4) |
ISSN: | 1095-9114 |
Popis: | OBJECTIVE: To assess the feasibility of using virtual non-contrast (VNC) images derived from dual-energy computed tomography (DECT) to replace true non-contrast (TNC) images of papillary thyroid carcinoma (PTC) patients. METHODS: Images of 96 PTC patients were retrospectively analyzed. TNC images were acquired under the single-energy mode of DECT after the plain scanning. The arterial and venous phase VNC (VNC-a and VNC-v) images were generated by the post-processing algorithm from the arterial phase and venous phase of contrast-enhanced CT images, respectively. Mean attenuation values, image noise, number and length of calcification were measured. Radiation dose was also calculated. Last, subjective score of image quality was evaluated by a 5-point scale. RESULTS: Signal-to-noise ratio (SNR) of each tissue in TNC images is significantly higher than that of VNC images (p |
Databáze: | OpenAIRE |
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