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13 March 2019 Computer-aided CT image features improving the malignant risk prediction in pulmonary nodules suspicious for lung cancer
Y. Kawata, N. Niki, M. Kusumoto, H. Ohmatsu, K. Aokage, G. Ishii, Y. Matsumoto, T. Tsuchida, K. Eguchi, M. Kaneko
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Proceedings Volume 10950, Medical Imaging 2019: Computer-Aided Diagnosis; 109501J (2019) https://doi.org/10.1117/12.2512614
Event: SPIE Medical Imaging, 2019, San Diego, California, United States
Abstract
Screening for lung cancer with low-dose computed tomography (CT) has led to increased recognition of small lung cancers and is expected to increase the rate of detection of early-stage lung cancer. Major concerns in the implementation of the CT screening of large populations include determining the appropriate management of pulmonary nodules found on a scan. The identification of patients with early-stage lung cancer who have a higher risk for relapse and who require more aggressive surveillance has been a target of the intense investigation. This study was performed to investigate whether the computer-aided CT image features could improve the discrimination ability of lung cancer prediction models for nodules in whom malignancy was suspected.
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Y. Kawata, N. Niki, M. Kusumoto, H. Ohmatsu, K. Aokage, G. Ishii, Y. Matsumoto, T. Tsuchida, K. Eguchi, and M. Kaneko "Computer-aided CT image features improving the malignant risk prediction in pulmonary nodules suspicious for lung cancer", Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109501J (13 March 2019); https://doi.org/10.1117/12.2512614
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KEYWORDS
Computed tomography
Lung cancer
3D image processing
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