Utility of an Artificial Neural Network for Prediction of Survival in patients with Esophageal Cancer treated with Radiotherapy

Research Project

Project/Area Number	24791313
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Multi-year Fund
Research Field	Radiation science
Research Institution	Kyushu University
Principal Investigator	ATSUMI Kazushige 九州大学, 大学病院, 助教 (70625805)
Project Period (FY)	2012-04-01 – 2015-03-31
Project Status	Completed (Fiscal Year 2014)
Budget Amount *help	¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000) Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000) Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords	食道癌 / 放射線治療 / 放射線腫瘍学 / ニューラルネットワーク / 人口ニューラルネットワーク / 化学放射線療法 / 人工ニューラルネットワーク
Outline of Final Research Achievements	We constructed the ANN model to be useful to predict tumor response and survival in patients with esophageal cancer treated with radiotherapy. This ANN model could be used for determination of an optimal treatment strategy for esophageal cancer.

Report

(4 results)