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A risk management approach for imaging biomarker-driven clinical trials in oncology

机译:成像生物标志物驱动的肿瘤临床试验的风险管理方法

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摘要

Imaging has steadily evolved in clinical cancer research as a result of improved conventional imaging methods and the innovation of new functional and molecular imaging techniques. Despite this evolution, the design and data quality derived from imaging within clinical trials are not ideal and gaps exist with paucity of optimised methods, constraints of trial operational support, and scarce resources. Difficulties associated with integrating imaging biomarkers into trials have been neglected compared with inclusion of tissue and blood biomarkers, largely because of inherent challenges in the complexity of imaging technologies, safety issues related to new imaging contrast media, standardisation of image acquisition across multivendor platforms, and various postprocessing options available with advanced software. Ignorance of these pitfalls directly affects the quality of the imaging read-out, leading to trial failure, particularly when imaging is a primary endpoint. Therefore, we propose a practical risk-based framework and recommendations for trials driven by imaging biomarkers, which allow identification of risks at trial initiation to better allocate resources and prioritise key tasks.
机译:由于改进的常规成像方法以及新的功能和分子成像技术的创新,成像在临床癌症研究中稳步发展。尽管有这种发展,但临床试验中从成像获得的设计和数据质量仍不理想,并且由于缺乏优化方法,试验操作支持的局限性和稀缺资源而存在差距。与包括组织和血液生物标志物的整合相比,将成像生物标志物整合到试验中的困难被忽略了,这主要是由于成像技术的复杂性,与新的成像造影剂有关的安全性,跨多厂商平台的图像采集的标准化等固有的挑战。高级软件提供了各种后处理选项。这些陷阱的无知直接影响成像读数的质量,从而导致试验失败,尤其是在成像是主要终点时。因此,我们为成像生物标志物驱动的试验提出了一个基于风险的实用框架和建议,这些框架和建议允许在试验开始时识别风险,以更好地分配资源并确定关键任务的优先级。

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