Development of a real-time markerless tracking system for pancreatic cancer in carbon ion radiation therapy using deep learning

利用深度学习开发碳离子放射治疗中胰腺癌实时无标记跟踪系统

• 批准号: 22K15818
• 负责人: Varnava Maria
• 金额: $ 2.83万
• 依托单位: Gunma University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K15818/
• 关键词: tumor tracking; pancreatic cancer; deep learning; surface image guided; carbon ion radiotherapy

Pancreatic cancer is one of the most lethal cancers. One in three deaths in pancreatic cancer patients is related to tumor progression. Therefore, treatment methods that improve local tumor control may lead to better overall survival. The purpose for this year was to focus on developing a prediction model for the location of the target based on the surface of the patient, which will be the basis for the research. The following steps were taken:・ Acquisition of patient data, data preprocessing, and mining・ Use of recurrent neural networks to create prediction models for the location of the tumor.

胰腺癌是最致命的癌症之一。胰腺癌患者三分之一的死亡与肿瘤进展有关。因此，改善局部肿瘤控制的治疗方法可能会导致更好的总体生存。今年的目的是重点开发基于患者表面的目标位置预测模型，这将是研究的基础。采取了以下步骤：·患者数据的获取、数据预处理和挖掘·使用递归神经网络来创建肿瘤位置的预测模型。