ババ　ヤスタカ   BABA Yasutaka   馬場　康貴    所属   埼玉医科大学  医学部 国際医療センター　放射線科（放射線腫瘍科、画像診断、核医学科）    職種   教授
論文種別	学術雑誌(原著)
言語種別	英語
査読の有無	査読あり
表題	Lung cancer screening with ultra-low dose CT using full iterative reconstruction
掲載誌名	正式名：JAPANESE JOURNAL OF RADIOLOGY ISSNコード：18671071
出版社	SPRINGER
巻・号・頁	35(4),179-189頁
著者・共著者	Masayo Fujita,Toru Higaki,Yoshikazu Awaya,Toshio Nakanishi,Yuko Nakamura,Fuminari Tatsugami,Yasutaka Baba,Makoto Iida,Kazuo Awai
発行年月	2017/04
概要	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-infer
DOI	10.1007/s11604-017-0618-y