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Published in: BMC Medical Imaging 1/2021

Open Access 01-12-2021 | Computed Tomography | Research

Comparison of lung image quality between CT Ark and Brilliance 64 CT during COVID-19

Authors: Gonghua Dai, Jiying Duan, Liang Zheng, Miao He, Yanshan Dai, Mingming Zhang, Shuguang Chu

Published in: BMC Medical Imaging | Issue 1/2021

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Abstract

Aim

This study is to compare the lung image quality between shelter hospital CT (CT Ark) and ordinary CT scans (Brilliance 64) scans.

Methods

The patients who received scans with CT Ark or Brilliance 64 CT were enrolled. Their lung images were divided into two groups according to the scanner. The objective evaluation methods of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were used. The subjective evaluation methods including the evaluation of the fine structure under the lung window and the evaluation of the general structure under the mediastinum window were compared. Kappa method was used to assess the reliability of the subjective evaluation. The subjective evaluation results were analyzed using the Wilcoxon rank sum test. SNR and CNR were tested using independent sample t tests.

Results

There was no statistical difference in somatotype of enrolled subjects. The Kappa value between the two observers was between 0.68 and 0.81, indicating good consistency. For subjective evaluation results, the rank sum test P value of fine structure evaluation and general structure evaluation by the two observers was ≥ 0.05. For objective evaluation results, SNR and CNR between the two CT scanners were significantly different (P<0.05). Notably, the absolute values ​​of SNR and CNR of the CT Ark were larger than Brilliance 64 CT scanner.

Conclusion

CT Ark is fully capable of scanning the lungs of the COVID-19 patients during the epidemic in the shelter hospital.
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Metadata
Title
Comparison of lung image quality between CT Ark and Brilliance 64 CT during COVID-19
Authors
Gonghua Dai
Jiying Duan
Liang Zheng
Miao He
Yanshan Dai
Mingming Zhang
Shuguang Chu
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2021
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-021-00720-2

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