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Pulmonary Emphysema Quantification on Ultra–Low-Dose Computed Tomography Using Model-Based Iterative Reconstruction With or Without Lung Setting

Hata, Akinori, MD; Yanagawa, Masahiro, MD, PhD; Kikuchi, Noriko, MD; Honda, Osamu, MD, PhD; Tomiyama, Noriyuki, MD, PhD

Journal of Computer Assisted Tomography: September/October 2018 - Volume 42 - Issue 5 - p 760–766
doi: 10.1097/RCT.0000000000000755
Cardiovascular and Thoracic Imaging

Objectives To evaluate the influence of model-based iterative reconstruction (MBIR) with lung setting and conventional setting on pulmonary emphysema quantification by ultra–low-dose computed tomography (ULDCT) compared with standard-dose CT (SDCT).

Methods Forty-five patients who underwent ULDCT (0.18 ± 0.02 mSv) and SDCT (6.66 ± 2.69 mSv) were analyzed in this retrospective study. Images were reconstructed using filtered back projection (FBP) with smooth and sharp kernels and MBIR with conventional and lung settings. Extent of emphysema was evaluated using fully automated software. Correlation between ULDCT and SDCT was assessed by interclass correlation coefficiency (ICC) and Bland-Altman analysis.

Results Excellent correlation was seen between MBIR with conventional setting on ULDCT and FBP with smooth kernel on SDCT (ICC, 0.97; bias, −0.31%) and between MBIR with lung setting on ULDCT and FBP with sharp kernel on SDCT (ICC, 0.82; bias, −2.10%).

Conclusion Model-based iterative reconstruction improved the agreement between ULDCT and SDCT on emphysema quantification.

From the Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

Received for publication October 6, 2017; accepted February 12, 2018.

Correspondence to: Akinori Hata, MD, Diagnostic and Interventional Radiology Osaka University Graduate School of Medicine: 2-2, Yamadaoka, Suita, Osaka 565-0871, Japan (e-mail: a-hata@radiol.med.osaka-u.ac.jp).

This study has received funding by GE Healthcare (Grant No. ISR-12478447174). N.T. received research grant from GE Healthcare to this study. A.H., M.Y., N.K., and O.H. have no conflict of interest to this study.

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