Improving assessment of prostate cancer bone metastases using advanced diffusion imaging

使用先进的扩散成像改进前列腺癌骨转移的评估

基本信息

批准号：
10183247
负责人：
Tyler Michael Seibert
金额：
$ 20.13万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN DIEGO
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10183247
关键词：
Address Affect Aftercare Agreement Anatomy Biomedical Engineering Caliber Cancer Control Cancer Etiology Cessation of life Classification Clinical Clinical Trials Custom Development Diffusion Diffusion Magnetic Resonance Imaging Disease Engineering Environment Epithelial Evaluation Goals Guidelines Human Resources Hybrids Image Individual Individual Adjustment Institution International Lesion Location Magnetic Resonance Imaging Malignant Neoplasms Malignant neoplasm of prostate Measurement Measures Medicine Mentors Metastatic Neoplasm to the Bone Metastatic Prostate Cancer Modeling Multimodal Imaging Neoplasm Metastasis Outcome PET/CT scan Pain Participant Patient Care Patients Phase Physicians Principal Investigator Process Prostate Cancer therapy Protocols documentation Quality of life Radiation Radiation Oncologist Radiation Oncology Radiation therapy Reader Research Research Personnel Research Priority Resolution Resources Restriction Spectrum Imaging Scientist Screening for Prostate Cancer Signal Transduction Structure System Techniques Testing Tissues Veterans Work anatomic imaging bioimaging bone bone imaging cancer imaging career career development clinical care clinical pain clinical practice clinical predictors design experience image guided radiation therapy imaging biomarker imaging detection imaging genetics improved indexing individual patient innovation interest men multi-scale modeling novel therapeutics outcome prediction palliation personalized medicine predict clinical outcome professor prognostic prognostic value prostate cancer metastasis quantitative imaging reduce symptoms response therapeutically effective tool treatment planning treatment response tumor

项目摘要

Project Summary Metastatic prostate cancer (PCa) is a debilitating and often deadly disease affecting tens of thousands of men in the U.S. and worldwide. Effective therapeutic options exist for symptom relief and control of the cancer, with others in the pipeline for testing. It is even thought that some patients might be cured if we could detect metastatic disease when it is limited to only a small number of locations. However, both treatment and testing of novel therapies require accurate imaging of the metastases. Unfortunately, most PCa metastases are in bones, where imaging quality is poor, and metastases are considered unmeasurable with conventional techniques. The broad goal of this project is to optimize and test innovative approaches to quantitative imaging, radiation targeting, and response assessment of PCa. The proposal centers on distortion correction and advanced diffusion MRI models, which are effective for detection of PCa lesions and have shown promising association with clinical outcomes. The first specific aim of the proposal is to implement distortion-corrected diffusion MRI into a radiotherapy treatment planning system and measure the impact of distortion correction on precise and accurate tumor delineation in bone metastases. The second aim is to evaluate the prognostic value of diffusion MRI metrics as predictors of clinical outcomes after radiotherapy for bone metastases, a treatment with evidence of a survival benefit in some oligometastatic patients and important for quality of life in patients with painful bone lesions. The third aim is to evaluate the reliability of diffusion MRI for quantitative treatment response assessment of individual bone metastases, an unmet need for clinical practice and clinical trials. Dr. Seibert, assistant professor of Radiation Medicine and Bioengineering, seeks to advance patient care with this proposal and to improve the ability of other investigators to more efficiently test experimental treatments for PCa. Simultaneously, Dr. Seibert will gain mentored experience as a principal investigator and build on his engineering, clinical, and imaging backgrounds with specific expertise in the development of quantitative tools for PCa assessment. UC San Diego and the Center for Multimodal Imaging and Genetics— directed by K08 proposal mentor, Dr. Dale—provide the ideal environment for this project and career development, with a veteran team of mentors and an abundance of resources and skilled personnel to facilitate successful completion of the specific aims and to launch Dr. Seibert’s career as a physician-scientist in radiation oncology and biomedical imaging.

项目摘要转移性前列腺癌（PCA）是一种令人衰弱的，通常是致命的疾病，影响了数万在美国和全球的男人。有效的治疗选择可缓解症状和控制癌症，其他人正在进行测试。甚至认为有些患者可以治愈，如果我们可以治愈当转移性疾病仅限于少数位置时，检测到转移性疾病。但是，既治疗又对新疗法的测试需要准确对转移酶进行成像。不幸的是，大多数PCA转移在骨骼中，成像质量很差，而传统的转移却是无法衡量的技术。该项目的广泛目标是优化和测试定量的创新方法 PCA的成像，辐射靶向和响应评估。提案以失真校正为中心和高级扩散MRI模型，可有效检测PCA病变并显示与临床结果的有前途的联系。该提案的第一个具体目的是将失真校正的扩散MRI实施放疗治疗计划系统并衡量纠正对精度的影响骨转移中的准确肿瘤描绘。第二个目的是评估扩散的预后价值 MRI指标是放疗后骨转移后临床结局的预测指标某些寡量转移患者的生存益处的证据，对于患者的生活质量很重要疼痛的骨骼病变。第三个目的是评估扩散MRI用于定量治疗的可靠性单个骨转移的反应评估，对临床实践和临床试验的无需满足。放射医学和生物工程助理教授Seibert博士试图进步患者护理该建议，并提高其他研究人员更有效测试实验的能力 PCA治疗。同时，Seibert博士将对作为首席研究员的经验产生兴趣，以其工程，临床和成像背景为基础，具有特定的专业知识用于PCA评估的定量工具。加州大学圣地亚哥分校和多模式成像和遗传学的中心 - 戴尔博士由K08提案精神指导 - 为该项目和职业提供理想的环境发展，由老将团队组成的导师团队以及大量的资源和熟练的人员来促进成功地完成了具体目标，并启动了塞伯特博士的职业生涯辐射肿瘤学和生物医学成像。