Yukihiro Nagatani1, Masashi Takahashi2, Kiyoshi Murata2, Mitsuru Ikeda3, Tsuneo Yamashiro4, Tetsuhiro Miyara5, Hisanobu Koyama6, Mitsuhiro Koyama7, Yukihisa Sato8, Hiroshi Moriya9, Satoshi Noma10, Noriyuki Tomiyama11, Yoshiharu Ohno6, Sadayuki Murayama4. 1. Department of Radiology, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan. Electronic address: yatsushi@belle.shiga-med.ac.jp. 2. Department of Radiology, Shiga University of Medical Science, Otsu 520-2192, Shiga, Japan. 3. Department of Radiological and Medical Laboratory Science, Nagoya University Graduate School of Medicine, Nagoya 461-8673, Aichi, Japan. 4. Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, Nishihara 903-0215, Okinawa, Japan. 5. Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, Nishihara 903-0215, Okinawa, Japan; Department of Radiology, Okinawa Prefectural Yaeyama Hospital, Ishigaki 907-0022, Okinawa, Japan. 6. Department of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Hyogo, Japan. 7. Department of Radiology, Osaka Medical College, Takatsuki 569-8686, Osaka, Japan. 8. Department of Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Osaka, Japan; Department of Radiology, Osaka Medical Center of Cancer and Cardiovascular Diseases, Osaka 537-8511, Osaka, Japan. 9. Department of Radiology, Ohara General Hospital, Fukushima 960-8611, Japan. 10. Department of Radiology, Tenri Hospital, Tenri 632-8552, Nara, Japan. 11. Department of Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Osaka, Japan.
Abstract
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 3mm. 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 8mm 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.
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 3mm. 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 8mm 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.
Authors: Taylor Brunton Smith; Geoffrey D Rubin; Justin Solomon; Brian Harrawood; Kingshuk Roy Choudhury; Ehsan Samei Journal: J Med Imaging (Bellingham) Date: 2018-11-22
Authors: Chi Ma; Lifeng Yu; Baiyu Chen; Chi Wan Koo; Edwin A Takahashi; Joel G Fletcher; David L Levin; Ronald S Kuzo; Lyndsay D Viers; Stephanie A Vincent-Sheldon; Shuai Leng; Cynthia H McCollough Journal: J Med Imaging (Bellingham) Date: 2017-03-31
Authors: Hao Gong; Qiyuan Hu; Andrew Walther; Chi Wan Koo; Edwin A Takahashi; David L Levin; Tucker F Johnson; Megan J Hora; Shuai Leng; Joel G Fletcher; Cynthia H McCollough; Lifeng Yu Journal: J Med Imaging (Bellingham) Date: 2020-06-30
Authors: Chi Ma; Baiyu Chen; Chi Wan Koo; Edwin A Takahashi; Joel G Fletcher; Cynthia H McCollough; David L Levin; Ronald S Kuzo; Lyndsay D Viers; Stephanie A Vincent Sheldon; Shuai Leng; Lifeng Yu Journal: Proc SPIE Int Soc Opt Eng Date: 2016-04-04