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
  • [41] Hybrid Computer-Aided Diagnosis System for Lung Nodules in CT-Chest Exams
    Amjadi, A.
    Richter, A.
    Fiebich, M.
    MEDICAL PHYSICS, 2009, 36 (06) : 2435 - +
  • [42] Comparison between computer-aided diagnosis and radiologists: Assessment of pulmonary blood flow on chest radiographs
    Kido, S
    Arisawa, J
    Kuriyama, K
    Kuroda, C
    Nakamura, H
    JOURNAL OF THORACIC IMAGING, 2000, 15 (01) : 48 - 55
  • [43] A Comparison of Follow-Up Recommendations by Chest Radiologists, General Radiologists, and Pulmonologists Using Computer-Aided Detection to Assess Radiographs for Actionable Pulmonary Nodules
    Meziane, Moulay
    Obuchowski, Nancy A.
    Lababede, Omar
    Lieber, Michael L.
    Philips, Michael
    Mazzone, Peter
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2011, 196 (05) : W542 - W549
  • [44] Detection of the usual interstitial pneumonia pattern in chest CT: effect of computer-aided diagnosis on radiologist diagnostic performance
    Fujita, Ryo
    Iwasawa, Tae
    Aoki, Takatoshi
    Iwao, Yuma
    Ogura, Takashi
    Utsunomiya, Daisuke
    ACTA RADIOLOGICA, 2024, 65 (03) : 259 - 266
  • [45] Value of a Computer-aided Detection System Based on Chest Tomosynthesis Imaging for the Detection of Pulmonary Nodules
    Yamada, Yoshitake
    Shiomi, Eisuke
    Hashimoto, Masahiro
    Abe, Takayuki
    Matsusako, Masaki
    Saida, Yukihisa
    Ogawa, Kenji
    RADIOLOGY, 2018, 287 (01) : 333 - 339
  • [46] Automatic detection of pulmonary nodules at spiral CT - first clinical experience with a computer-aided diagnosis system
    Wormanns, D
    Fiebich, M
    Wietholt, C
    Diederich, S
    Heindel, W
    MEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2, 2000, 3979 : 129 - 135
  • [47] Computer-Aided Diagnosis of Pulmonary Nodules in Rheumatoid Arthritis
    Musetescu, Anca Emanuela
    Gherghina, Florin Liviu
    Florescu, Lucian-Mihai
    Streba, Liliana
    Ciurea, Paulina Lucia
    Florescu, Alesandra
    Gheonea, Ioana Andreea
    LIFE-BASEL, 2022, 12 (11):
  • [48] A Comparison of Four Versions of a Computer-aided Detection System for Pulmonary Nodules on Chest Radiographs
    Meziane, Moulay
    Mazzone, Peter
    Novak, Eric
    Lieber, Michael L.
    Lababede, Omar
    Phillips, Michael
    Obuchowski, Nancy A.
    JOURNAL OF THORACIC IMAGING, 2012, 27 (01) : 58 - 64
  • [49] Enhancement filter for computer-aided detection of pulmonary nodules on thoracic CT images
    Yu, Yang
    Zhao, Hong
    ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, 2006, : 1201 - +
  • [50] Computer-Aided Detection of Pulmonary Nodules based on SVM in Thoracic CT Images
    Eskandarian, Parinaz
    Bagherzadeh, Jamshid
    2015 7TH CONFERENCE ON INFORMATION AND KNOWLEDGE TECHNOLOGY (IKT), 2015,