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Japanese Journal of Radiology
Published in: Japanese Journal of Radiology 4/2017

01-04-2017 | Original Article

Lung cancer screening with ultra-low dose CT using full iterative reconstruction

Authors: Masayo Fujita, Toru Higaki, Yoshikazu Awaya, Toshio Nakanishi, Yuko Nakamura, Fuminari Tatsugami, Yasutaka Baba, Makoto Iida, Kazuo Awai

Published in: Japanese Journal of Radiology | Issue 4/2017

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Abstract

Purpose

To investigate the diagnostic capability of ultra-low-dose CT (ULDCT) with full iterative reconstruction (f-IR) for lung cancer screening.

Materials and methods

All underwent ULDCT and/or low-dose CT (LD-CT) on a 320-detector scanner. ULDCT images were reconstructed with f-IR. We qualitatively and quantitatively studied 95 nodules in 69 subjects. Two radiologists classified the nodules on ULDCT images as solid-, part-solid-, and pure ground-glass (PGG) and recorded their mean size. Their findings were compared with the reference standard. The observer performance study included 7 other radiologists and 35 subjects with- and 15 without nodules. The results were analyzed by AFROC analysis.

Results

In the qualitative study, the kappa values between observers 1 and 2, respectively, and the reference standard were 0.70 and 0.83; the intra-class correlation coefficients for the nodule diameter between the reference standard and their measurements were 0.84 and 0.90. The 95% confidence interval (CI) for the area under the curve (AUC) difference for nodule detection on LDCT and ULDCT was −0.03 to 0.07. The 95% CI crossed the 0 difference in the AUC but not the pre-defined non-inferiority margin of −0.08.

Conclusion

The diagnostic ability of ULDCT using f-IR is comparable to LDCT.
Appendix
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Metadata
Title
Lung cancer screening with ultra-low dose CT using full iterative reconstruction
Authors
Masayo Fujita
Toru Higaki
Yoshikazu Awaya
Toshio Nakanishi
Yuko Nakamura
Fuminari Tatsugami
Yasutaka Baba
Makoto Iida
Kazuo Awai
Publication date
01-04-2017
Publisher
Springer Japan
Published in
Japanese Journal of Radiology / Issue 4/2017
Print ISSN: 1867-1071
Electronic ISSN: 1867-108X
DOI
https://doi.org/10.1007/s11604-017-0618-y

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