Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system.
作者： Shingo Kakeda , Junji Moriya , Hiromi Sato , Takatoshi Aoki , Hideyuki Watanabe
DOI: 10.2214/AJR.182.2.1820505
关键词:
摘要: OBJECTIVE. The aim of this study was to evaluate the usefulness a new commercially available computer-aided diagnosis (CAD) system with an automated method detecting nodules due lung cancers on chest radiograph.MATERIALS AND METHODS. For patients cancer, 45 cases solitary up 25 mm in diameter (nodule size range, 8–25 diameter; mean, 18 mm; median, 20 mm) were used. healthy patients, selected basis confirmation CT. All radiographs obtained computed radiography system. CAD output images produced newly developed system, which consisted image server including software called EpiSight/XR. Eight radiologists (four board-certified and four radiology residents) participated observer performance studies interpreted both original using sequential testing method. observers' evaluated receiver operating charac...
sci-hub.se 参考文章(30)
David Gur, Howard E. Rockette, Glenn S. Maitz, Jill L. King, Amy H. Klym, Andriy I. Bandos, Variability in Observer Performance Studies Academic Radiology. ,vol. 12, pp. 1527- 1533 ,(2005) , 10.1016/J.ACRA.2005.08.010
Matthew T. Freedman, Shih-Chung B. Lo, Fleming Y. M. Lure, Xin-Wei Xu, Jesse Lin, Hui Zhao, Teresa Osicka, Ron Zhang, Computer-aided detection of lung cancer on chest radiographs: algorithm performance vs. radiologists' performance by size of cancer Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures. ,vol. 4319, pp. 150- 159 ,(2001) , 10.1117/12.428048
R T Heelan, B J Flehinger, M R Melamed, M B Zaman, W B Perchick, J F Caravelli, N Martini, Non-small-cell lung cancer: results of the New York screening program. Radiology. ,vol. 151, pp. 289- 293 ,(1984) , 10.1148/RADIOLOGY.151.2.6324279
Maryellen Lissak Giger, Kunio Doi, Heber MacMahon, Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields Medical Physics. ,vol. 15, pp. 158- 166 ,(1988) , 10.1118/1.596247
F Levi, F Lucchini, E Negri, C La Vecchia, Worldwide patterns of cancer mortality, 1990-1994. European Journal of Cancer Prevention. ,vol. 8, pp. 381- 400 ,(1999) , 10.1097/00008469-199910000-00004
Matthew T. Freedman, Shih-Chung B. Lo, Teresa Osicka, Fleming Y. M. Lure, Xin-Wei Xu, Jesse Lin, Hui Zhao, Ron Zhang, Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD false-positive locations on radiologists' behavior Medical Imaging 2002: Image Processing. ,vol. 4684, pp. 1311- 1319 ,(2002) , 10.1117/12.467092
HL Kundel, G Revesz, Lesion conspicuity, structured noise, and film reader error American Journal of Roentgenology. ,vol. 126, pp. 1233- 1238 ,(1976) , 10.2214/AJR.126.6.1233
T Kobayashi, X W Xu, H MacMahon, C E Metz, K Doi, Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Radiology. ,vol. 199, pp. 843- 848 ,(1996) , 10.1148/RADIOLOGY.199.3.8638015
David P Naidich, Jane P Ko, Jonathan Stoeckel, Nicole Abinanti, Stanley Lu, Daniel Moses, William Moore, Ioannis Vlahos, Carol L Novak, Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study computer assisted radiology and surgery. ,vol. 1268, pp. 902- 907 ,(2004) , 10.1016/J.ICS.2004.03.288
Xin-Wei Xu, Kunio Doi, Takeshi Kobayashi, Heber MacMahon, Maryellen L. Giger, Development of an improved CAD scheme for automated detection of lung nodules in digital chest images Medical Physics. ,vol. 24, pp. 1395- 1403 ,(1997) , 10.1118/1.598028