Presentation 2019-01-23
[Short Paper] A Lung Cancer Risk Prediction Model based on Clinical Information and Chest CT Images Analyses
Takeru Kageyama, Yoshiki Kawata, Noboru Niki, Masahiko Kusumoto, Hironobu Ohmatsu, Yoshiki Aokage, Takaaki Tsuchida, Yuji Matsumoto, Kenji Eguchi, Masahiro Kaneko,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Lung cancer accounts for the number of cancer deaths first, and it is on an increasing trend. Although lung cancer CT screening that discovers lung cancer candidates using chest 3-dimensional CT images has been carried out recently as one of the methods for early detection of lung cancer, unnecessary definitive diagnosis is being carried out to non-cancer samples of 20 to 55%. In order to reduce the false positive rate of lung cancer in lung cancer CT screening, multiple malignant risk models have been published that categorize and score nodules in various countries around the world. In this study, we develop high-performance malignant risk models using clinical information and the results of image analysis of Japanese thin section CT images.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Lung nodule / Chest Chest 3-dimensional CT images / multiple malignant risk model
Paper # MI2018-98
Date of Issue 2019-01-15 (MI)

Conference Information
Committee MI
Conference Date 2019/1/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc.
Chair Kensaku Mori(Nagoya Univ.)
Vice Chair Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.)
Secretary Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.)
Assistant Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.)

Paper Information
Registration To Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Short Paper] A Lung Cancer Risk Prediction Model based on Clinical Information and Chest CT Images Analyses
Sub Title (in English)
Keyword(1) Lung nodule
Keyword(2) Chest Chest 3-dimensional CT images
Keyword(3) multiple malignant risk model
1st Author's Name Takeru Kageyama
1st Author's Affiliation Tokushima University Graduate School(Tokushima Univ.)
2nd Author's Name Yoshiki Kawata
2nd Author's Affiliation Tokushima University Graduate School(Tokushima Univ.)
3rd Author's Name Noboru Niki
3rd Author's Affiliation Tokushima University Graduate School(Tokushima Univ.)
4th Author's Name Masahiko Kusumoto
4th Author's Affiliation National Cancer Center(National Cancer Center)
5th Author's Name Hironobu Ohmatsu
5th Author's Affiliation Abashiri Prison(Abashiri Prison)
6th Author's Name Yoshiki Aokage
6th Author's Affiliation National Cancer Center(National Cancer Center)
7th Author's Name Takaaki Tsuchida
7th Author's Affiliation National Cancer Center(National Cancer Center)
8th Author's Name Yuji Matsumoto
8th Author's Affiliation National Cancer Center(National Cancer Center)
9th Author's Name Kenji Eguchi
9th Author's Affiliation Teikyo University(Teikyo Univ.)
10th Author's Name Masahiro Kaneko
10th Author's Affiliation Tokyo Health Service Association Health Support Center(Tokyo Health Service Association Health Support Center)
Date 2019-01-23
Paper # MI2018-98
Volume (vol) vol.118
Number (no) MI-412
Page pp.pp.161-163(MI),
#Pages 3
Date of Issue 2019-01-15 (MI)