Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis

被引:70
作者
Nagatani, Yukihiro [1 ]
Takahashi, Masashi [1 ]
Murata, Kiyoshi [1 ]
Ikeda, Mitsuru [2 ]
Yamashiro, Tsuneo [3 ]
Miyara, Tetsuhiro [3 ,4 ]
Koyama, Hisanobu [5 ]
Koyama, Mitsuhiro [6 ]
Sato, Yukihisa [7 ,8 ]
Moriya, Hiroshi [9 ]
Noma, Satoshi [10 ]
Tomiyama, Noriyuki [7 ]
Ohno, Yoshiharu [5 ]
Murayama, Sadayuki [3 ]
机构
[1] Shiga Univ Med Sci, Dept Radiol, Otsu, Shiga 5202192, Japan
[2] Nagoya Univ, Grad Sch Med, Dept Radiol & Med Lab Sci, Nagoya, Aichi 4618673, Japan
[3] Univ Ryukyus, Grad Sch Med Sci, Dept Radiol, Nishihara, Okinawa 9030215, Japan
[4] Okinawa Prefectural Yaeyama Hosp, Dept Radiol, Ishigaki, Okinawa 9070022, Japan
[5] Kobe Univ, Grad Sch Med, Dept Radiol, Kobe, Hyogo 6500017, Japan
[6] Osaka Med Coll, Dept Radiol, Takatsuki, Osaka 5698686, Japan
[7] Osaka Univ, Grad Sch Med, Dept Radiol, Suita, Osaka 5650871, Japan
[8] Osaka Med Ctr Canc & Cardiovasc Dis, Dept Radiol, Osaka 5378511, Japan
[9] Ohara Gen Hosp, Dept Radiol, Fukushima 9608611, Japan
[10] Tenri Hosp, Dept Radiol, Tenri, Nara 6328552, Japan
关键词
Computed tomography; Chest; Ultra-low dose scanning; Adaptive iterative dose reduction; Image quality; FILTERED BACK-PROJECTION; CHEST CT; RECONSTRUCTION TECHNIQUE; MANAGEMENT; STATEMENT;
D O I
10.1016/j.ejrad.2015.03.012
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
100231 [临床病理学]; 100902 [航空航天医学];
摘要
Purpose: To compare lung nodule detection performance (LNDP) in computed tomography (CT) with adaptive iterative dose reduction using three dimensional processing (AIDR3D) between ultra-low dose CT (ULDCT) and low dose CT (LDCT). Materials and methods: This was part of the Area-detector Computed Tomography for the Investigation of Thoracic Diseases (ACTIve) Study, a multicenter research project being conducted in Japan. Institutional Review Board approved this study and informed consent was obtained. Eighty-three subjects(body mass index, 23.3 +/- 3.2) underwent chest CT at 6 institutions using identical scanners and protocols. In a single visit, each subject was scanned using different tube currents: 240, 120 and 20 mA (3.52, 1.74 and 0.29 mSv, respectively). Axial CT images with 2-mm thickness/increment were reconstructed using AIDR3D. Standard of reference (SOR) was determined based on CT images at 240 mA by consensus reading of 2 board-certificated radiologists as to the presence of lung nodules with the longest diameter(LD) of more than 3 mm. Another 5 radiologists independently assessed and recorded presence/absence of lung nodules and their locations by continuously-distributed rating in CT images at 20 mA (ULDCT) and 120 mA (LDCT). Receiver-operating characteristic (ROC) analysis was used to evaluate LNDP of both methods in total and also in subgroups classified by LD (>4, 6 and 8 mm) and nodular characteristics(solid and ground glass nodules). Results: For SOR, 161 solid and 60 ground glass nodules were identified. No significant difference in LNDP for entire solid nodules was demonstrated between both methods, as area under ROC curve (AUC) was 0.844 +/- 0.017 in ULDCT and 0.876 +/- 0.026 in LDCT (p = 0.057). For ground glass nodules with LD 8 mm or more, LNDP was similar between both methods, as AUC 0.899 +/- 0.038 in ULDCT and 0.941 +/- 0.030 in LDCT. (p = 0.144). Conclusion: ULDCT using AIDR3D with an equivalent radiation dose to chest x-ray could have comparable LNDP to LDCT with AIDR3D except for smaller ground glass nodules in cases with normal range body habitus. (C) 2015 The Authors. Published by Elsevier Ireland Ltd.
引用
收藏
页码:1401 / 1412
页数:12
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