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：
10432040
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/10432040
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 System Techniques Testing Tissues Veterans Work anatomic imaging biomedical imaging 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.

项目概要转移性前列腺癌 (PCa) 是一种使人衰弱且往往致命的疾病，影响着数以万计的人美国和世界各地的男性都有有效的治疗方案来缓解和控制症状。癌症，以及其他正在接受测试的人甚至认为，如果我们可以的话，一些患者可能会被治愈。当转移性疾病仅限于少数部位时，可以检测到转移性疾病，但是，治疗和治疗都存在困难。新疗法的测试需要对转移进行准确的成像，不幸的是，大多数 PCa 转移。位于骨骼中，成像质量较差，并且传统方法无法测量转移灶该项目的总体目标是优化和测试定量的创新方法。该提案的重点是畸变校正。和先进的扩散 MRI 模型，可有效检测 PCa 病变，并已表明与临床结果有希望的关联。该提案的第一个具体目标是将畸变校正扩散 MRI 实施到放射治疗治疗计划系统并测量畸变校正对精确和准确的影响准确描绘骨转移瘤的第二个目的是评估扩散的预后价值。 MRI 指标作为骨转移放疗后临床结果的预测因子，骨转移是一种治疗方法一些寡转移患者的生存获益的证据，对于寡转移患者的生活质量很重要第三个目的是评估扩散 MRI 定量治疗的可靠性。对个体骨转移的反应评估，是临床实践和临床试验未满足的需求。放射医学和生物工程助理教授 Seibert 博士致力于帮助患者进步关心这个建议并提高其他研究人员更有效地测试实验的能力同时，Seibert 博士将获得作为首席研究员的指导经验和以他的工程、临床和成像背景为基础，在开发方面具有特定的专业知识 PCa 评估的定量工具。由K08提案导师Dale博士指导——为该项目和职业生涯提供理想的环境发展，拥有经验丰富的导师团队以及丰富的资源和技术人员来促进成功完成具体目标并开启 Seibert 博士作为医师科学家的职业生涯放射肿瘤学和生物医学成像。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

The effect of sample size on polygenic hazard models for prostate cancer.

DOI：
10.1038/s41431-020-0664-2
发表时间：
2020-10
期刊：
European journal of human genetics : EJHG
影响因子：
0
作者：
Karunamuni RA;Huynh-Le MP;Fan CC;Eeles RA;Easton DF;Kote-Jarai Z;Amin Al Olama A;Benlloch Garcia S;Muir K;Gronberg H;Wiklund F;Aly M;Schleutker J;Sipeky C;Tammela TLJ;Nordestgaard BG;Key TJ;Travis RC;Neal DE;Donovan JL;Hamdy FC;Pharoah P;Pashayan N;Khaw KT;Thibodeau SN;McDonnell SK;Schaid DJ;Maier C;Vogel W;Luedeke M;Herkommer K;Kibel AS;Cybulski C;Wokolorczyk D;Kluzniak W;Cannon-Albright L;Brenner H;Schöttker B;Holleczek B;Park JY;Sellers TA;Lin HY;Slavov C;Kaneva R;Mitev V;Batra J;Clements JA;Spurdle A;Australian Prostate Cancer BioResource (APCB);Teixeira MR;Paulo P;Maia S;Pandha H;Michael A;Mills IG;Andreassen OA;Dale AM;Seibert TM;PRACTICAL Consortium
通讯作者：
PRACTICAL Consortium

Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model.

DOI：
10.1158/1078-0432.ccr-20-2017
发表时间：
2021-02-15
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
0
作者：
Andreassen MMS;Rodríguez-Soto AE;Conlin CC;Vidić I;Seibert TM;Wallace AM;Zare S;Kuperman J;Abudu B;Ahn GS;Hahn M;Jerome NP;Østlie A;Bathen TF;Ojeda-Fournier H;Goa PE;Rakow-Penner R;Dale AM
通讯作者：
Dale AM

Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models.

DOI：
10.1002/jmri.27393
发表时间：
2021-03
期刊：
Journal of magnetic resonance imaging : JMRI
影响因子：
0
作者：
Conlin CC;Feng CH;Rodriguez-Soto AE;Karunamuni RA;Kuperman JM;Holland D;Rakow-Penner R;Hahn ME;Seibert TM;Dale AM
通讯作者：
Dale AM

Reply to The 5-year relative survival of older patients with prostate cancer is insignificantly different from the 5-year survival of all men of a similar age.

答复老年前列腺癌患者的 5 年相对生存率与所有同龄男性的 5 年生存率没有显着差异。

DOI：
10.1002/cncr.32791
发表时间：
2020
期刊：
Cancer
影响因子：
6.2
作者：
Huynh-Le,Minh-Phuong;Seibert,TylerM
通讯作者：
Seibert,TylerM

Characterization of the diffusion signal of breast tissues using multi-exponential models.

DOI：
10.1002/mrm.29090
发表时间：
2022-04
期刊：
MAGNETIC RESONANCE IN MEDICINE
影响因子：
3.3
作者：
Rodriguez-Soto, Ana E.;Andreassen, Maren M. Sjaastad;Fang, Lauren K.;Conlin, Christopher C.;Park, Helen H.;Ahn, Grace S.;Bartsch, Hauke;Kuperman, Joshua;Vidic, Igor;Ojeda-Fournier, Haydee;Wallace, Anne M.;Hahn, Michael;Seibert, Tyler M.;Jerome, Neil Peter;Ostlie, Agnes;Bathen, Tone Frost;Goa, Pal Erik;Rakow-Penner, Rebecca;Dale, Anders M.
通讯作者：
Dale, Anders M.