Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study
European Journal of Radiology Open Volume 7
Page 100253-
published_at 2020-09-08
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Title ( eng ) |
Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study
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Creator |
Nagaoka Mami
Oostveen Luuk
Klein Willemijn
Prokop Mathias
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Source Title |
European Journal of Radiology Open
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Volume | 7 |
Start Page | 100253 |
Abstract |
Objectives
In this phantom- and cadaver study we investigated the differences of coronary artery calcium (CAC) volume on ultra-high-resolution computed tomography (U-HRCT) scans and conventional CT. Methods We scanned a coronary calcium phantom and the coronary arteries of five cadavers using U-HRCT in normal- and super-high resolution (NR, SHR) mode. The NR mode was similar to conventional CT; 896 detector channels, a matrix size of 512, and a slice thickness of 0.5 mm were applied. In SHR mode, we used 1792 detector channels, a matrix size of 1024, and a slice thickness of 0.25 mm. The CAC volume on NR- and SHR images were recorded. Differences in the physical- and the calculated CAC volume were defined as the error value and compared between NR- and SHR images of the phantom. Differences between the CAC volume on NR- and SHR scans of the cadavers were also recorded. Results The mean error value was lower on SHR- than NR images of the phantom (14.0 %, SD 11.1 vs 20.1 %, SD 15.2, p = 0.01). The mean CAC volume was significantly higher on SHR- than NR images of the cadavers (153.4 mm3, SD 161.0 vs 144.7 mm3, SD 164.8, p < 0.01). Conclusions As small calcifications were more clearly visualized on U-HRCT images in SHR mode than on conventional (NR) CT scans, SHR imaging may facilitate the accurate quantification of the CAC. |
Keywords |
Coronary artery calcium scores
Ultra-high-resolution CT
Cadaver
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Language |
eng
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Resource Type | journal article |
Publisher |
Elsevier
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Date of Issued | 2020-09-08 |
Rights |
© 2020 The Authors. This is an open access article under the CC BY-NC-ND license.
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Publish Type | Version of Record |
Access Rights | open access |
Source Identifier |
[ISSN] 2352-0477
[DOI] 10.1016/j.ejro.2020.100253
[DOI] https://doi.org/10.1016/j.ejro.2020.100253
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