2013 Fiscal Year Final Research Report
Computer-aided diagnosis of lung cancers based on quantitative analysis of time-interval changes on thoracic CT images
| Project/Area Number |
23500518
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Biomedical engineering/Biological material science
|
|---|
| Research Institution | The University of Tokushima |
|---|
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)
|
|---|
| 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)
|
|---|
| Project Period (FY) |
2011 – 2013
|
| Keywords | 肺がん / CT画像 / CT値ヒストグラム / 経過観察支援 |
|---|
| 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).
|
Research Products
(11 results)
-
[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
-
Journal Title
電子情報通信学会論文誌
Volume: Vol.J.96-D, No.4
Pages: 834-843
URL
Peer Reviewed
-
-
-
-
-
-
-
-
-
-
