Computer-aided diagnosis of lung cancers based on quantitative analysis of time-interval changes on thoracic CT images
| Project/Area Number |
23500518
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | The University of Tokushima |
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Principal Investigator |
KAWATA Yoshiki 徳島大学, ソシオテクノサイエンス研究部, 准教授 (70274264)
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| Co-Investigator(Kenkyū-buntansha) |
NIKI Noboru 徳島大学, 大学院・ソシオテクノサイエンス研究部, 教授 (80116847)
OHMATSU Hironobu 国立がん研究センター, 東病院, 副科長 (40415518)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 肺がん / CT画像 / CT値ヒストグラム / 経過観察支援 / 経過支援観察 / 予後予測 / 拡大CT / 経時変化 / 4次元CT |
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| Research Abstract |
Lung cancer is the most common cause of cancer death worldwide. CT is the modality of choice for lung imaging because this modality is the most sensitive way for imaging lung in vivo currently. Some evidences suggested that CT with a low-dose imaging protocol may improve pulmonary nodule sensitivity relative to radiography. While this study does show the efficacy of CT based screening, physicians often face the problem of deciding an appropriate management strategies for maximizing patient survival and preserving lung function. This study focuses on a framework within which CT value histograms is used to represent internal structures of pulmonary nodules, aiming at classifying patients between those at high risk of disease progression (high-risk group) and those at low risk of disease progression (low-risk group).
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Report
(4 results)
Research Products
(28 results)
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[Journal Article] 胸部マルチスライス CT 画像における葉間裂抽出法2013
Author(s)
松廣幹雄, 鈴木秀宣, 河田佳樹, 仁木登, 上野淳二, 中野恭幸, 小川惠美子, 室繁郎, 大松広伸, 森山紀之
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Journal Title
電子情報通信学会論文誌
Volume: Vol.J.96-D, No.4
Pages: 834-843
NAID
URL
Related Report
Peer Reviewed
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[Presentation] Potential usefulness of a topic model-based categorization of lung cancers as quantitative CT biomarkers for predicting the recurrence risk after curative resection2014
Author(s)
Y.Kawata, N.Niki, H.Ohmatsu, K.Aokage, M.Satake, M.Kusumoto, T.Tsuchida, K.Eguchi, M.Kaneko, N.Moriyama
Organizer
Proc. SPIE Medical Imaging
Place of Presentation
Town & Country Resort and Convention Center（San Diego, California, United States ）
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