Advanced Techniques for Cancer Imaging and Detection
癌症成像和检测的先进技术
基本信息
- 批准号:8228176
- 负责人:
- 金额:$ 27.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1993
- 资助国家:美国
- 起止时间:1993-02-01 至 2013-03-18
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): We are submitting a competing renewal for our longstanding training program in Stanford Radiology under a new name, Advanced Techniques for Cancer Imaging and Detection, to reflect the dramatic changes that this program has undergone since our last application. Our Department is one of the very few that has been able to expand and embrace a multidisciplinary vision necessary to encompass molecular imaging, nanotechnology, and systems biology to augment our strength in anatomic imaging. We have expanded our facilities to offer our trainees experience in cancer imaging and detection techniques that include molecular imaging, nanotechnology, ultrasound, PET/CT, MRI, and computational systems. Our goal is to provide M.D. and Ph.D. trained postdoctoral students with rigorous training towards a career in cancer detection, diagnosis, and therapy based on imaging techniques. Since 1993, we have successfully graduated 21 M.D. and Ph.D. trainees. All trainees were productive during their tenure in the program; many continue academic activity in cancer imaging today. The six current trainees are pursuing research in MR imaging of breast cancer and angiogenesis imaging with nanoparticles; developing MR probes for the diagnosis and treatment of cancer; and cultivating advanced instrumentation for CT and molecular imaging.
The need for this program is even greater now than it was in 1993. Since our 2001 application, the field of radiology has dramatically changed and now, more than ever, plays a key role in the diagnosis and treatment of cancer patients. Our program is very committed to fulfilling our mission of training the next leaders in cancer imaging and detection through its unique blend of scientists, clinicians, and educators. Trainees in our program will benefit from the excellent resources within the Department and from those resources available through such disciplines as bioengineering, radiation oncology, electrical engineering, materials science, molecular pharmacology, health policy and research, and cancer biology.
Our substantially expanded program will leverage four existing centers of excellence: the In Vivo Cellular and Molecular Imaging Center (ICMIC@Stanford); the Center of Cancer Nanotechnology Excellence (CCNE); the Center for Advanced Magnetic Resonance Technology (CAMRT); and the Computational Modeling of Cancer Biology, which is the Integrative Cancer Biology Program (ICBP) planning grant. Three of these centers have been developed in the last three years.
Dr. Gary M. Glazer will continue to direct the program, which will be mentored by twelve established preceptors and seven distinguished program advisors. Trainees are required to participate in courses, seminars, and conferences in clinical cancer, the imaging sciences, biostatistics, and medical ethics. They are also required to complete original, independent research.
描述(由申请人提供):我们正在提交斯坦福放射学长期培训项目的竞争性更新,新名称为“癌症成像和检测先进技术”,以反映该项目自上次申请以来发生的巨大变化。我们系是为数不多的能够扩展和拥抱必要的多学科视野的系之一,包括分子成像、纳米技术和系统生物学,以增强我们在解剖成像方面的实力。我们已经扩大了我们的设施,为我们的学员提供癌症成像和检测技术的经验,包括分子成像、纳米技术、超声波、PET/CT、MRI和计算系统。我们的目标是为医学博士和博士培养的博士后学生提供严格的培训,使他们能够从事基于成像技术的癌症检测、诊断和治疗。1993年至今,共培养21名医学博士、博士研究生。所有受训者在他们的任期内都是富有成效的;许多人今天继续在癌症成像方面进行学术活动。目前的六名学员正在进行乳腺癌磁共振成像和纳米颗粒血管生成成像的研究;开发用于癌症诊断和治疗的磁共振探针;培养先进的CT和分子成像仪器。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('SANDY A. NAPEL', 18)}}的其他基金
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers
计算、优化和评估定量癌症成像生物标志物
- 批准号:
9753130 - 财政年份:2015
- 资助金额:
$ 27.5万 - 项目类别:
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers
计算、优化和评估定量癌症成像生物标志物
- 批准号:
9324146 - 财政年份:2015
- 资助金额:
$ 27.5万 - 项目类别:
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers
计算、优化和评估定量癌症成像生物标志物
- 批准号:
9132190 - 财政年份:2015
- 资助金额:
$ 27.5万 - 项目类别:
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers
计算、优化和评估定量癌症成像生物标志物
- 批准号:
8960049 - 财政年份:2015
- 资助金额:
$ 27.5万 - 项目类别:
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung Cancer
用于链接和挖掘非小细胞肺癌图像和基因组数据的工具
- 批准号:
8889206 - 财政年份:2011
- 资助金额:
$ 27.5万 - 项目类别:
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung Cancer
用于链接和挖掘非小细胞肺癌图像和基因组数据的工具
- 批准号:
8693964 - 财政年份:2011
- 资助金额:
$ 27.5万 - 项目类别:
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung Cancer
用于链接和挖掘非小细胞肺癌图像和基因组数据的工具
- 批准号:
8332267 - 财政年份:2011
- 资助金额:
$ 27.5万 - 项目类别:
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung Cancer
用于链接和挖掘非小细胞肺癌图像和基因组数据的工具
- 批准号:
8513277 - 财政年份:2011
- 资助金额:
$ 27.5万 - 项目类别:
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung Cancer
用于链接和挖掘非小细胞肺癌图像和基因组数据的工具
- 批准号:
8153431 - 财政年份:2011
- 资助金额:
$ 27.5万 - 项目类别:
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Advanced Techniques for Cancer Imaging and Detection
癌症成像和检测的先进技术
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7286808 - 财政年份:1993
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