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Original Research

Quantitative Emphysema Measurement On Ultra-High-Resolution CT Scans

ORCID Icon, ORCID Icon, , &
Pages 2283-2290 | Published online: 08 Oct 2019
 

Abstract

Purpose

To evaluate the advantages of ultra-high-resolution computed tomography (U-HRCT) scans for the quantitative measurement of emphysematous lesions over conventional HRCT scans.

Materials and methods

This study included 32 smokers under routine clinical care who underwent chest CT performed by a U-HRCT scanner. Chronic obstructive pulmonary disease (COPD) was diagnosed in 13 of the 32 participants. Scan data were reconstructed by 2 different protocols: i) U-HRCT mode with a 1024×1024 matrix and 0.25-mm slice thickness and ii) conventional HRCT mode with a 512×512 matrix and 0.5-mm slice thickness. On both types of scans, lesions of emphysema were quantitatively assessed as percentage of low attenuation volume (LAV%, <−950 Hounsfield units). LAV% values determined for scan data from the U-HRCT and conventional HRCT modes were compared by the Wilcoxon matched-pairs signed rank test. The association between LAV% and forced expiratory volume in 1 s per forced vital capacity (FEV1/FVC) was assessed by the Spearman rank correlation test.

Results

Mean values for LAV% determined for the U-HRCT and conventional HRCT modes were 8.9 ± 8.8% and 7.3 ± 8.4%, respectively (P<0.0001). The correlation coefficients for LAV% and FEV1/FVC on the U-HRCT and conventional HRCT modes were 0.50 and 0.49, respectively (both P<0.01).

Conclusion

Compared with conventional HRCT scans, U-HRCT scans reveal emphysematous lesions in greater detail, and provide slightly increased correlation with airflow limitation.

Acknowledgments

The authors thank Mr Kenji Fujii (Canon Medical Systems) for his technical support.

Disclosure

The University of the Ryukyus and Ohara General Hospital receive a research grant from Canon Medical Systems. Ynayan Xu receives a scholarship (Sasagawa scholarship) from the Japan-China Medical Association. Tsuneo Yamashiro reports a grant from Canon Medical Systems during the conduct of the study, and grants from Ziosoft and JSR outside the submitted work. Sadayuki Murayama reports a research grant from Canon Medical Systems during the conduct of the study. The authors report no other conflicts of interest for this work.