A prospective study of CAD system for lung cancer based on helical CT image

Michito Hasegawa; Mitsuru Kubo; Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Ryutaro Kakinuma; Masahiro Kaneko; Masahiko Kusumoto; Y. Nishiyama; Kenji Eguchi; Noriyuki Moriyama

doi:10.1117/12.534037

4 May 2004 A prospective study of CAD system for lung cancer based on helical CT image

Michito Hasegawa, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiko Kusumoto, Y. Nishiyama, Kenji Eguchi, Noriyuki Moriyama

Author Affiliations +

Proceedings Volume 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment; (2004) https://doi.org/10.1117/12.534037
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

Chest CT images obtained by CT scanner have drawn a great interest in suspicious region detection. However, mass screening based on CT images leads a considerable number of images to be diagnosed. CAD system for lung cancer that detects tumor candidates at early stage from CT images has developed. In July 1997, clinical trial using first version of the CAD system in Anti-Lung Cancer Association (National Cancer Center Hospital and National Cancer Hospital East) started. As following stage, clinical trial using second version of the CAD system that supports comparative reading function started in April 2002. We expect that CAD system reduces diagnosis time and increase the reliability. In this paper, we describe the clinical trial results using the CAD system from July 1997 and the detection results of the CAD system for supporting mass screening in a prospective study. The results show that the CAD system improves diagnostic accuracy and throughput. And we describe the future of CAD system.

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Michito Hasegawa, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiko Kusumoto, Y. Nishiyama, Kenji Eguchi, and Noriyuki Moriyama "A prospective study of CAD system for lung cancer based on helical CT image", Proc. SPIE 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, (4 May 2004); https://doi.org/10.1117/12.534037

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