Share Email Print
cover

Proceedings Paper • new

Computer-aided CT image features improving the malignant risk prediction in pulmonary nodules suspicious for lung cancer
Author(s): Y. Kawata; N. Niki; M. Kusumoto; H. Ohmatsu; K. Aokage; G. Ishii; Y. Matsumoto; T. Tsuchida; K. Eguchi; M. Kaneko
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 13 March 2019
PDF: 7 pages
Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109501J (13 March 2019); doi: 10.1117/12.2512614
Show Author Affiliations
Y. Kawata, Tokushima Univ. (Japan)
N. Niki, Tokushima Univ. (Japan)
M. Kusumoto, National Cancer Ctr. Hospital (Japan)
H. Ohmatsu, Medical Affairs Section, Abashiri Prison (Japan)
K. Aokage, National Cancer Ctr. Hospital East (Japan)
G. Ishii, National Cancer Ctr. (Japan)
Y. Matsumoto, National Cancer Ctr. Hospital (Japan)
T. Tsuchida, National Cancer Ctr. Hospital (Japan)
K. Eguchi, Teikyo Univ. School of Medicine (Japan)
M. Kaneko, Tokyo Health Service Association (Japan)


Published in SPIE Proceedings Vol. 10950:
Medical Imaging 2019: Computer-Aided Diagnosis
Kensaku Mori; Horst K. Hahn, Editor(s)

© SPIE. Terms of Use
Back to Top