ArticleKorean journal of radiology
Contrast-Enhanced CT with Knowledge-Based Iterative Model Reconstruction for the Evaluation of Parotid Gland Tumors: A Feasibility Study.
Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography.The international journal of cardiovascular imaging · 2024Trial
- The application value of a vendor-specific deep learning image reconstruction algorithm in "triple low" head and neck computed tomography angiography.Quantitative imaging in medicine and surgery · 2024Article
- Advantages of contrast-enhanced CT combined with DCE-MRI in identifying malignant parotid tumor.American journal of translational research · 2022Article
- Comparison of lung image quality between CT Ark and Brilliance 64 CT during COVID-19.BMC medical imaging · 2021Article
- Application of full-field organ dose modulation on cervical- thoraco-abdominopelvic contrast-enhanced computed tomography.Japanese journal of radiology · 2021Article
- A Glimpse on Trends and Characteristics of Recent Articles Published in theKorean journal of radiology · 2019Article
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Authors and funding
5 authors.
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Abstract
Objective: The purpose of this study was to determine the diagnostic utility of low-dose CT with knowledge-based iterative model reconstruction (IMR) for the evaluation of parotid gland tumors. Materials and Methods: This prospective study included 42 consecutive patients who had undergone low-dose contrast-enhanced CT for the evaluation of suspected parotid gland tumors. Prior or subsequent non-low-dose CT scans within 12 months were available in 10 of the participants. Background noise (BN), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were compared between non-low-dose CT images and images generated using filtered back projection (FBP), hybrid iterative reconstruction (iDose Results: With the IMR algorithm, background noise (IMR, 4.24 ± 3.77; iDose Conclusion: Iterative model reconstruction-generated low-dose CT is an alternative to standard non-low-dose CT without significantly affecting image quality for the evaluation of parotid gland tumors.
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