E=mc2: Environment-Driven Mathematical Modeling for Clinical Cancer Imaging

E=mc2：环境驱动的临床癌症成像数学模型

• 批准号: 8555189
• 负责人: Kristin R Swanson
• 金额: $ 33.83万
• 依托单位: H. LEE MOFFITT CANCER CTR & RES INST
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8555189
• 关键词: Algorithms; Anatomy; Cancer Biology; Clinical; Computer Simulation; Data; Data Set; Databases; Development; Disease Progression; Environment; Glioma; Growth; Hypoxia; Image; Individual; Kinetics; Magnetic Resonance Imaging; Malignant - descriptor; Maps; Medical Imaging; Modeling; Molecular; Patients; Positron-Emission Tomography; Role; Techniques; Translations; Work; base; cancer imaging; cancer therapy; clinical decision-making; follow-up; mathematical model; novel; oncology; predictive modeling; simulation; success; tumor; tumor progression; Algorithms; Anatomy; Cancer Biology; Clinical; Computer Simulation; Data; Data Set; Databases; Development; Disease Progression; Environment; Glioma; Growth; Hypoxia; Image; Individual; Kinetics; Magnetic Resonance Imaging; Malignant - descriptor; Maps; Medical Imaging; Modeling; Molecular; Patients; Positron-Emission Tomography; Role; Techniques; Translations; Work; base; cancer imaging; cancer therapy; clinical decision-making; follow-up; mathematical model; novel; oncology; predictive modeling; simulation; success; tumor; tumor progression

The third and final project in the Integrative Mathematical Oncology PS-OC proposal approaches mathematical modeling of cancer progression using clinical-scale data in order to drive the overall effort towards a translational aim. Given that clinical decision making is often directed by medical imaging and that such imaging works as an

综合数学肿瘤学PS-OC建议方法的第三个也是最后一个项目数学 使用临床规模数据对癌症进展进行建模，以推动整体努力 翻译目标。鉴于临床决策通常是由医学成像引导的， 成像作为一个