Roy Anuradha, Fuller Clifton D, Rosenthal David I, Thomas Charles R
Department of Management Science and Statistics, The University of Texas at San Antonio, One UTSA Circle, San Antonio, 78249, TX, USA.
Department of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
BMC Med Imaging. 2015 Aug 28;15:35. doi: 10.1186/s12880-015-0074-z.
Comparison of imaging measurement devices in the absence of a gold-standard comparator remains a vexing problem; especially in scenarios where multiple, non-paired, replicated measurements occur, as in image-guided radiotherapy (IGRT). As the number of commercially available IGRT presents a challenge to determine whether different IGRT methods may be used interchangeably, an unmet need conceptually parsimonious and statistically robust method to evaluate the agreement between two methods with replicated observations. Consequently, we sought to determine, using an previously reported head and neck positional verification dataset, the feasibility and utility of a Comparison of Measurement Methods with the Mixed Effects Procedure Accounting for Replicated Evaluations (COM3PARE), a unified conceptual schema and analytic algorithm based upon Roy's linear mixed effects (LME) model with Kronecker product covariance structure in a doubly multivariate set-up, for IGRT method comparison.
An anonymized dataset consisting of 100 paired coordinate (X/ measurements from a sequential series of head and neck cancer patients imaged near-simultaneously with cone beam CT (CBCT) and kilovoltage X-ray (KVX) imaging was used for model implementation. Software-suggested CBCT and KVX shifts for the lateral (X), vertical (Y) and longitudinal (Z) dimensions were evaluated for bias, inter-method (between-subject variation), intra-method (within-subject variation), and overall agreement using with a script implementing COM3PARE with the MIXED procedure of the statistical software package SAS (SAS Institute, Cary, NC, USA).
COM3PARE showed statistically significant bias agreement and difference in inter-method between CBCT and KVX was observed in the Z-axis (both p - value<0.01). Intra-method and overall agreement differences were noted as statistically significant for both the X- and Z-axes (all p - value<0.01). Using pre-specified criteria, based on intra-method agreement, CBCT was deemed preferable for X-axis positional verification, with KVX preferred for superoinferior alignment.
The COM3PARE methodology was validated as feasible and useful in this pilot head and neck cancer positional verification dataset. COM3PARE represents a flexible and robust standardized analytic methodology for IGRT comparison. The implemented SAS script is included to encourage other groups to implement COM3PARE in other anatomic sites or IGRT platforms.
在缺乏金标准对照物的情况下,成像测量设备的比较仍然是一个棘手的问题;特别是在像图像引导放射治疗(IGRT)中出现多个、非配对、重复测量的场景中。由于市面上可用的IGRT数量众多,要确定不同的IGRT方法是否可以互换使用是一项挑战,因此在概念上需要一种简洁且统计稳健的方法来评估两种具有重复观测值的方法之间的一致性。因此,我们试图使用先前报道的头颈位置验证数据集,确定一种考虑重复评估的测量方法比较的混合效应程序(COM3PARE)的可行性和实用性,这是一种基于Roy线性混合效应(LME)模型且具有克罗内克积协方差结构的统一概念模式和分析算法,用于在双多元设置下的IGRT方法比较。
使用一个匿名数据集,该数据集由100对来自一系列头颈癌患者的坐标(X/)测量值组成,这些患者在近同时使用锥形束CT(CBCT)和千伏X射线(KVX)成像进行成像,用于模型实施。使用统计软件包SAS(SAS Institute,美国北卡罗来纳州卡里)的MIXED程序,通过一个实现COM3PARE的脚本,评估软件建议的CBCT和KVX在横向(X)、纵向(Y)和纵向(Z)维度上的偏移,以评估偏差、方法间(受试者间变异)、方法内(受试者内变异)和总体一致性。
COM3PARE显示出统计学上显著的偏差一致性,并且在Z轴上观察到CBCT和KVX之间的方法间差异(p值均<0.01)。对于X轴和Z轴,方法内和总体一致性差异均被认为具有统计学显著性(所有p值<0.01)。根据预先指定的基于方法内一致性的标准,CBCT被认为更适合X轴位置验证,而KVX更适合上下对齐。
COM3PARE方法在这个试点头颈癌位置验证数据集中被验证为可行且有用。COM3PARE代表了一种用于IGRT比较的灵活且稳健的标准化分析方法。包含所实施的SAS脚本,以鼓励其他团队在其他解剖部位或IGRT平台上实施COM3PARE。