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
  • [21] Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CT
    Li, Feng
    Li, Qiang
    Engelmann, Roger
    Aoyama, Masahito
    Sone, Shusuke
    MacMahon, Heber
    Doi, Kunio
    ACADEMIC RADIOLOGY, 2006, 13 (08) : 943 - 950
  • [22] Computer-aided diagnosis for pulmonary nodules based on helical CT images
    Kanazawa, E
    Kawata, Y
    Niki, N
    Satoh, H
    Ohmatsu, H
    Kakinuma, R
    Kaneko, M
    Moriyama, N
    Eguchi, E
    FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2, 1998, : 1683 - 1685
  • [23] Computer-aided diagnosis for pulmonary nodules based on helical CT images
    Kanazawa, K
    Kawata, Y
    Niki, N
    Satoh, H
    Ohmatsu, H
    Kakinuma, R
    Kaneko, M
    Moriyama, N
    Eguchi, K
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 1998, 22 (02) : 157 - 167
  • [24] Computer-aided diagnosis for pulmonary nodules based on helical CT images
    Kanazawa, K
    Kawata, Y
    Niki, N
    Satoh, H
    Omatsu, H
    Kakinuma, R
    Kaneko, M
    Eguchi, K
    Moriyama, N
    1997 IEEE NUCLEAR SCIENCE SYMPOSIUM - CONFERENCE RECORD, VOLS 1 & 2, 1998, : 1635 - 1639
  • [25] Computer-aided diagnosis of small pulmonary nodules
    Reeves, AP
    Kostis, WJ
    SEMINARS IN ULTRASOUND CT AND MRI, 2000, 21 (02) : 116 - 128
  • [26] Intracranial aneurysms at MR angiography: Effect of computer-aided diagnosis on radiologists' detection performance
    Hirai, T
    Korogi, Y
    Arimura, H
    Katsuragawa, S
    Kitajima, M
    Yamura, M
    Yamashita, Y
    Doi, K
    RADIOLOGY, 2005, 237 (02) : 605 - 610
  • [27] Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs: ROC analysis of radiologists' performance
    Shiraishi, Junji
    Abe, Hiroyuki
    Li, Feng
    Engelmann, Roger
    MacMahon, Heber
    Doi, Kunio
    ACADEMIC RADIOLOGY, 2006, 13 (08) : 995 - 1003
  • [28] Computer-aided diagnosis in chest radiography: Beyond nodules
    van Ginneken, Bram
    Hogeweg, Laurens
    Prokop, Mathias
    EUROPEAN JOURNAL OF RADIOLOGY, 2009, 72 (02) : 226 - 230
  • [29] Computer-aided detection of pulmonary nodules in low-dose CT
    Delogu, P.
    Fantacci, M. E.
    Gori, I.
    Martinez, A. Preite
    Retico, A.
    COMPUTATIONAL MODELLING OF OBJECTS REPRESENTED IN IMAGES: FUNDAMENTALS, METHODS AND APPLICATIONS, 2007, : 165 - 167
  • [30] Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system
    Dag Wormanns
    Martin Fiebich
    Mustafa Saidi
    Stefan Diederich
    Walter Heindel
    European Radiology, 2002, 12 : 1052 - 1057