Facilitating Personalized Breast Cancer Therapy via Early Prediction of Patient Responses using Non-invasive Hybrid Imaging Biomarkers

使用非侵入性混合成像生物标志物早期预测患者反应，促进个性化乳腺癌治疗

• 批准号: 273474
• 负责人: Sadeghi-Naini Ali
• 金额: $ 10.2万
• 依托单位: Sunnybrook Research Institute (Toronto, Ontario)
• 依托单位国家: 加拿大
• 项目类别: Fellowship Programs
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-11-01 至 2014-11-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=273474&lang=en
• 关键词: Early Prognosis; Hybrid Imaging Biomarkers; Locally Advanced Breast Cancer; Personalized Medicine; Photo-Acoustic Imaging; Quantitative Ultrasound; Salvage Therapy; Sonoelastography; Textural Analysis; Treatment Response Monitoring

This project focuses on developing a new treatment monitoring technique for locally advanced breast cancer. It investigates the coincident use of sonoelastography, quantitative ultrasound and photo-acoustic imaging coupled with textural analysis technique

该项目的重点是为局部晚期乳腺癌开发一种新的治疗监测技术。探讨了声弹性成像、定量超声、光声成像与纹理分析技术的联合应用