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联合临床影像资源计划(CIRP):弥合转化鸿沟,推进精准医学。

Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.

机构信息

Department of Radiology, Washington University School of Medicine, St. Louis, MO.

Department of Radiology, Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC.

出版信息

Tomography. 2020 Sep;6(3):273-287. doi: 10.18383/j.tom.2020.00023.

DOI:10.18383/j.tom.2020.00023
PMID:32879897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7442091/
Abstract

The National Institutes of Health's (National Cancer Institute) precision medicine initiative emphasizes the biological and molecular bases for cancer prevention and treatment. Importantly, it addresses the need for consistency in preclinical and clinical research. To overcome the translational gap in cancer treatment and prevention, the cancer research community has been transitioning toward using animal models that more fatefully recapitulate human tumor biology. There is a growing need to develop best practices in translational research, including imaging research, to better inform therapeutic choices and decision-making. Therefore, the National Cancer Institute has recently launched the Co-Clinical Imaging Research Resource Program (CIRP). Its overarching mission is to advance the practice of precision medicine by establishing consensus-based best practices for co-clinical imaging research by developing optimized state-of-the-art translational quantitative imaging methodologies to enable disease detection, risk stratification, and assessment/prediction of response to therapy. In this communication, we discuss our involvement in the CIRP, detailing key considerations including animal model selection, co-clinical study design, need for standardization of co-clinical instruments, and harmonization of preclinical and clinical quantitative imaging pipelines. An underlying emphasis in the program is to develop best practices toward reproducible, repeatable, and precise quantitative imaging biomarkers for use in translational cancer imaging and therapy. We will conclude with our thoughts on informatics needs to enable collaborative and open science research to advance precision medicine.

摘要

美国国立卫生研究院(National Cancer Institute)的精准医学计划强调了癌症预防和治疗的生物学和分子基础。重要的是,它解决了临床前和临床研究一致性的需求。为了克服癌症治疗和预防中的转化差距,癌症研究界一直在转向使用更能准确再现人类肿瘤生物学的动物模型。越来越需要制定转化研究的最佳实践,包括成像研究,以更好地为治疗选择和决策提供信息。因此,美国国立癌症研究所最近启动了联合临床成像研究资源计划(CIRP)。其首要任务是通过开发优化的最先进的转化定量成像方法学,为联合临床成像研究建立基于共识的最佳实践,从而实现疾病检测、风险分层以及对治疗反应的评估/预测,从而推进精准医学的实践。在本通讯中,我们讨论了我们在 CIRP 中的参与情况,详细介绍了关键考虑因素,包括动物模型选择、联合临床研究设计、对联合临床仪器标准化的需求以及临床前和临床定量成像管道的协调。该计划的一个基本重点是制定可重复、可重复和精确的定量成像生物标志物的最佳实践,用于转化癌症成像和治疗。我们将总结我们对实现协作和开放科学研究以推进精准医学的信息学需求的想法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe85/7442091/857e53ea49fb/GP-TOMJ200033F003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe85/7442091/5c262f8e1358/GP-TOMJ200033F001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe85/7442091/d7ab1cf1488d/GP-TOMJ200033F002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe85/7442091/857e53ea49fb/GP-TOMJ200033F003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe85/7442091/5c262f8e1358/GP-TOMJ200033F001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe85/7442091/d7ab1cf1488d/GP-TOMJ200033F002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe85/7442091/857e53ea49fb/GP-TOMJ200033F003.jpg

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