Gavrielides Marios A, Kinnard Lisa M, Myers Kyle J, Petrick Nicholas
National Institute of Biomedical Imaging and Bioengineering/Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD 20993-0002, USA.
Radiology. 2009 Apr;251(1):26-37. doi: 10.1148/radiol.2511071897.
Lung nodule volumetry is used for nodule diagnosis, as well as for monitoring tumor response to therapy. Volume measurement precision and accuracy depend on a number of factors, including image-acquisition and reconstruction parameters, nodule characteristics, and the performance of algorithms for nodule segmentation and volume estimation. The purpose of this article is to provide a review of published studies relevant to the computed tomographic (CT) volumetric analysis of lung nodules. A number of underexamined areas of research regarding volumetric accuracy are identified, including the measurement of nonsolid nodules, the effects of pitch and section overlap, and the effect of respiratory motion. The need for public databases of phantom scans, as well as of clinical data, is discussed. The review points to the need for continued research to examine volumetric accuracy as a function of a multitude of interrelated variables involved in the assessment of lung nodules. Understanding and quantifying the sources of volumetric measurement error in the assessment of lung nodules with CT would be a first step toward the development of methods to minimize that error through system improvements and to correctly account for any remaining error.
肺结节容积测量可用于结节诊断，也可用于监测肿瘤对治疗的反应。容积测量的精度和准确性取决于多种因素，包括图像采集和重建参数、结节特征以及结节分割和容积估计算法的性能。本文旨在综述已发表的与肺结节计算机断层扫描（CT）容积分析相关的研究。确定了一些关于容积准确性的研究不足的领域，包括非实性结节的测量、螺距和层厚重叠的影响以及呼吸运动的影响。讨论了建立体模扫描以及临床数据公共数据库的必要性。该综述指出，需要持续开展研究，以检验容积准确性与肺结节评估中涉及的众多相互关联变量之间的关系。了解并量化CT评估肺结节时容积测量误差的来源，将是朝着通过系统改进来最小化该误差并正确考虑任何剩余误差的方法发展迈出的第一步。
