Role of the Quantitative Imaging Biomarker Alliance in Optimizing CT for the Evaluation of Lung Cancer Screen-Detected Nodules
Role of the Quantitative Imaging Biomarker Alliance in Optimizing CT for the Evaluation of Lung Cancer Screen-Detected Nodules
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DOI：
10.1016/j.jacr.2014.12.003
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发表时间：
2015-04-01
影响因子：
4.5
通讯作者：
Sullivan, Daniel C.
中科院分区：
文献类型：
--
作者：
Mulshine, James L.;Gierada, David S.;Sullivan, Daniel C.
定量成像生物标志物联盟（QIBA）是一个由RSNA赞助的多学科联盟，旨在定义能够实现和推进定量成像方法的过程，该过程在QIBA概要文件中描述，概述了可靠和准确测量成像特征的过程。QIBA概况包括技术（特定产品）标准、用户活动以及与临床有意义的指标（如肺癌CT筛查过程中的结节测量）的关系等因素。在本报告中，作者描述了QIBA方法如何应用于小肺结节的测量，例如在低剂量ct肺癌筛查中发现的小肺结节。在此过程中定义了成像测量的所有方差源。通过实验、文献回顾和专家意见的集合，最有力的证据被用来定义如何最好地实施成像采集和评估过程中的每个步骤。这种系统的方法实现了定量成像生物标志物，具有用于肺结节特定定量测量的图像采集和后处理的标准化规范，结果导致测量的一致性能特征（例如，偏差和方差）。QIBA小结节谱的实施可以使在肺癌筛查评估过程中发现可疑肺结节的个体的诊断检查更加高效和有效的临床管理。
The Quantitative Imaging Biomarker Alliance (QIBA) is a multidisciplinary consortium sponsored by the RSNA to define processes that enable the implementation and advancement of quantitative imaging methods described in a QIBA profile document that outlines the process to reliably and accurately measure imaging features. A QIBA profile includes factors such as technical (product-specific) standards, user activities, and relationship to a clinically meaningful metric, such as with nodule measurement in the course of CT screening for lung cancer. In this report, the authors describe how the QIBA approach is being applied to the measurement of small pulmonary nodules such as those found during low-dose CT-based lung cancer screening. All sources of variance with irnaging measurement were defined for this process. Through a process of experimentation, literature review, and assembly of expert opinion, the strongest evidence was used to define how to best implement each step in the imaging acquisition and evaluation process. This systematic approach to implementing a quantitative imaging biomarker with standardized specifications for image acquisition and postprocessing for a specific quantitative measurement of a pulmonary nodule results in consistent performance characteristics of the measurement (eg, bias and variance). Implementation of the QIBA small nodule profile may allow more efficient and effective clinical management of the diagnostic workup of individuals found to have suspicious pulmonary nodules in the course of lung cancer screening evaluation.