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Airway quantification using adaptive statistical iterative reconstruction-V on wide-detector low-dose CT: a validation study on lung specimen

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Abstract

Purpose

To evaluate the accuracy of airway quantification of adaptive statistical iterative reconstruction (ASIR)-V on low-dose CT using a human lung specimen.

Method

A lung specimen was scanned on Revolution CT with low-dose settings (20 mAs, 40 mAs and 60 mAs/100 kV) and standard-dose setting (100 mAs/120 kV). CT images were reconstructed using lung kernel with eleven ASIR-V levels from 0 to 100% with 10% interval. ASIR-V level from 0 to 100% with 10% interval was reconstructed on lung kernel. Wall area percentage (%WA) and wall thickness (WT) were measured.

Results

Radiation dose of 20 mAs, 40 mAs and 60 mAs low-dose settings reduced by 87.6%, 75.2% and 62.8% compared to that on standard dose, respectively. Low-dose settings significantly decreased image SNR (p < 0.05) and increased noise (p < 0.001). ASIR-V level exponentially improved image SNR and linearly decreased image noise (all p < 0.001). The mean airway measurement ratios of low-dose to standard-dose were within 2% variation for %WA and within 3% variation for WT. Most %WA and WT values showed no obvious correlation with ASIR-V levels.

Conclusion

ASIR-V showed to improve image quality in low radiation dose. However, low-dose settings and ASIR-V strength did not significantly influence airway quantification values, although variation in measurements slightly increased with dose reduction.

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Abbreviations

COPD:

Chronic obstructive pulmonary disease

CT:

Computed tomography

ASIR:

Adaptive statistical iterative reconstruction

ASIR-V:

Adaptive statistical iterative reconstruction veo

FBP:

Filtered back projection

CTDIvol:

volume CT dose index

WT:

Wall thickness

%WA:

Wall area percentage

SNR:

Signal-to-noise ratio

ROI:

Region of interest

FEF:

Forced expiratory flow

FEV1:

Forced expiratory volume in first second

FEV1/FVC:

Forced expiratory volume in first second/forced vital capacity

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Funding

This study was sponsored by National Natural Science Foundation of China (project no. 81471662), Ministry of Science and Technology of China (2016YFE0103000), and Science and Technology Commission of Shanghai Municipality (16411968500 and 16410722300). The funders played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Authors and Affiliations

  1. Department of Radiology, Shanghai General Hospital of Nanjing Medical University, No. 100 Haining Road, Shanghai, 200080, People’s Republic of China

    Lin Zhang, Zhengyu Li, Jie Meng, Xueqian Xie & Hao Zhang

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  1. Lin Zhang
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  2. Zhengyu Li
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  3. Jie Meng
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  4. Xueqian Xie
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  5. Hao Zhang
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Correspondence to Xueqian Xie or Hao Zhang.

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11604_2019_818_MOESM1_ESM.tif

Appendix Fig 1. A line chart of groups of positive correlation between ASIR-V level and WT value showed small slope linear correlations on lung kernel in some B1, B3 and B4 bronchus. The trend lines almost overlapped in low-dose settings (tif 29 kb)

11604_2019_818_MOESM2_ESM.tif

Appendix Fig 2. Inter-scan Bland-Altman plots of %WA value shows good consistency between low- (100kV/40mAs) and standard-dose setting (tif 51 kb)

11604_2019_818_MOESM3_ESM.tif

Appendix Fig 3. Inter-scan Bland-Altman plots of %WA value shows good consistency between low- (100kV/60mAs) and standard-dose setting (tif 51 kb)

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Zhang, L., Li, Z., Meng, J. et al. Airway quantification using adaptive statistical iterative reconstruction-V on wide-detector low-dose CT: a validation study on lung specimen. Jpn J Radiol 37, 390–398 (2019). https://doi.org/10.1007/s11604-019-00818-2

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  • DOI: https://doi.org/10.1007/s11604-019-00818-2

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