Schuster Daniel P
Department of Internal Medicine and The Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Am J Respir Crit Care Med. 2007 Aug 1;176(3):224-30. doi: 10.1164/rccm.200703-462PP. Epub 2007 May 3.
Recent advances in imaging offer exciting opportunities to develop and validate lung-specific biomarkers as valuable adjuncts to diagnosis, tests of treatment efficacy, and/or treatment monitoring. State-of-the-art structural, functional, and molecular imaging methods allow the lungs to be visualized noninvasively in vivo at submillimeter and subsecond spatial and temporal scales. However, the development and validation of imaging biomarkers present some special challenges, including the following: equipment evaluation, procedure standardization, data regarding reproducibility and replication, interrater variability, the production and measurement of reference standards, sensitivity to interventions or disease progression, intersubject variance, choice of image reconstruction and segmentation algorithms, automated versus observer-dependent image analysis, data acquisition during conditions of standardized lung volume, whether a reliable association can be demonstrated between the imaging biomarker and a clinical endpoint, and whether its use will have a favorable cost-effective impact on drug development or disease management. Establishing such performance characteristics, especially for single investigators at single institutions, can be daunting if not impossible for costly biomarkers such as imaging. Therefore, to take full advantage of the opportunities presented by state-of-the-art imaging methods, new approaches to analytic and clinical validation must be developed in collaboration with industry, foundation, and federal funding agencies.
成像技术的最新进展为开发和验证肺部特异性生物标志物提供了令人兴奋的机会,这些生物标志物可作为诊断、治疗效果测试和/或治疗监测的有价值辅助手段。先进的结构、功能和分子成像方法能够在亚毫米和亚秒级的空间和时间尺度上对肺部进行无创体内可视化。然而,成像生物标志物的开发和验证面临一些特殊挑战,包括以下方面:设备评估、程序标准化、关于可重复性和复制性的数据、评分者间差异、参考标准的产生和测量、对干预或疾病进展的敏感性、个体间差异、图像重建和分割算法的选择、自动与观察者依赖的图像分析、标准化肺容积条件下的数据采集、成像生物标志物与临床终点之间是否能证明存在可靠关联,以及其使用是否会对药物开发或疾病管理产生有利的成本效益影响。对于像成像这样成本高昂的生物标志物,确定这些性能特征,尤其是对于单机构的单个研究人员来说,即使并非不可能,也可能令人生畏。因此,为了充分利用先进成像方法带来的机会,必须与行业、基金会和联邦资助机构合作开发新的分析和临床验证方法。