Pulmonary nodules at chest CT: Effect of computer-aided diagnosis on radiologists' detection performance

被引:218
|
作者
Awai, K
Murao, K
Ozawa, A
Komi, M
Hayakawa, H
Hori, S
Nishimura, Y
机构
[1] Kinki Univ, Sch Med, Dept Radiol, Osaka 5898511, Japan
[2] Computat Sci & Engn Ctr, Fujitsu, Chiba, Japan
[3] Rinku Gen Med Ctr, Dept Radiol, Osaka, Japan
[4] Image Guided Therapy Clin, Osaka, Japan
关键词
computers; diagnostic aid; diagnostic radiology; observer performance; lung; CT; nodule;
D O I
10.1148/radiol.2302030049
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
PURPOSE: To evaluate the effect of computer-aided diagnosis (CAD) on radiologists' detection of pulmonary nodules. MATERIALS AND METHODS: Fifty chest computed tomographic (CT) examination cases were used. The mean nodule size was 0.81 cm +/- 0.60 (SD) (range, 0.3-2.9 cm). Alternative free-response receiver operating characteristic (ROC) analysis with a continuous rating scale was used to compare the observers' performance in detecting nodules with and without use of CAD. Five board-certified radiologists and five radiology residents participated in an observer performance study. First they were asked to rate the probability of nodule presence without using CAD; then they were asked to rate the probability of nodule presence by using CAD. RESULTS: For all radiologists, the mean areas under the best-fit alternative free-response ROC curves (A(z)) without and with CAD were 0.64 +/- 0.08 and 0.67 +/- 0.09, respectively, indicating a significant difference (P < .01). For the five board-certified radiologists the mean A(z) values without and with CAD were 0.63 +/- 0.08 and 0.66 +/- 0.09, respectively, indicating a significant difference (P < .01). For the five resident radiologists, the mean A(z) values without and with CAD were 0.66 +/- 0.04 and 0.68 +/- 0.04, respectively, indicating a significant difference (P = .02). At observer performance analyses, there were no significant differences in A(z) values obtained either without (P = .61) or with (P = .88) CAD between the board-certified radiologists and the residents. For all radiologists, in the detection of pulmonary nodules 1.0 cm in diameter or smaller, the mean A(z) values without and with CAD were 0.60 +/- 0.11 and 0.64 +/- 0.11, respectively, indicating a significant difference (P < .01). CONCLUSION: Use of the CAD system improved the board-certified radiologists' and residents detection of pulmonary nodules at chest CT. ((C))RSNA, 2004.
引用
收藏
页码:347 / 352
页数:6
相关论文
共 50 条
  • [11] Computer-aided diagnosis in detection of lung nodules on chest CT. Effects on radiologist's performance
    Awai, K
    Murao, K
    Ozawa, A
    Komi, M
    Hori, S
    RADIOLOGY, 2002, 225 : 146 - 146
  • [12] PULMONARY NODULES - COMPUTER-AIDED DETECTION IN DIGITAL CHEST IMAGES
    GIGER, ML
    DOI, K
    MACMAHON, H
    METZ, CE
    YIN, FF
    RADIOGRAPHICS, 1990, 10 (01) : 41 - 51
  • [13] Autonomous Detection of Solitary Pulmonary Nodules on CT Images for Computer-Aided Diagnosis
    Wei Ying
    Jia Tong
    Lin Ming-xiu
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 4054 - 4059
  • [14] Computer-aided diagnosis of pulmonary nodules on CT scan images
    Jia, A. Jing
    Liu, B. Jiwei
    Gu, C. Yu
    PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC), 2018,
  • [15] Computer-aided detection and automated CT volumetry of pulmonary nodules
    Katharina Marten
    Christoph Engelke
    European Radiology, 2007, 17 : 888 - 901
  • [16] Computer-aided detection and automated CT volumetry of pulmonary nodules
    Marten, Katharina
    Engelke, Christoph
    EUROPEAN RADIOLOGY, 2007, 17 (04) : 888 - 901
  • [17] Computer-aided detection for pulmonary nodules
    Koroglu, M
    Ernst, RD
    Oto, A
    Hardie, RC
    Gurcan, MN
    Allen, BH
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2004, 182 (04) : 85 - 85
  • [18] Observer training for computer-aided detection of pulmonary nodules in chest radiography
    De Boo, Diederick W.
    van Hoorn, Francois
    van Schuppen, Joost
    Schijf, Laura
    Scheerder, Maeke J.
    Freling, Nicole J.
    Mets, Onno
    Weber, Michael
    Schaefer-Prokop, Cornelia M.
    EUROPEAN RADIOLOGY, 2012, 22 (08) : 1659 - 1664
  • [19] Observer training for computer-aided detection of pulmonary nodules in chest radiography
    Diederick W. De Boo
    François van Hoorn
    Joost van Schuppen
    Laura Schijf
    Maeke J. Scheerder
    Nicole J. Freling
    Onno Mets
    Michael Weber
    Cornelia M. Schaefer-Prokop
    European Radiology, 2012, 22 : 1659 - 1664
  • [20] Computer-aided diagnosis system of thyroid nodules ultrasonography Diagnostic performance difference between computer-aided diagnosis and 111 radiologists
    Li, Tingting
    Jiang, Zirui
    Lu, Man
    Zou, Shibin
    Wu, Minggang
    Wei, Ting
    Wang, Lu
    Li, Juan
    Hu, Ziyue
    Cheng, Xueqing
    Liao, Jifen
    MEDICINE, 2020, 99 (23)