Dickie Ben R, Banerji Anita, Kershaw Lucy E, McPartlin Andrew, Choudhury Ananya, West Catharine M, Rose Chris J
Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
Institute of Cancer Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
Magn Reson Med. 2016 Oct;76(4):1270-81. doi: 10.1002/mrm.26013. Epub 2015 Oct 19.
To improve the accuracy and precision of tracer kinetic model parameter estimates for use in dynamic contrast enhanced (DCE) MRI studies of solid tumors.
Quantitative DCE-MRI requires an estimate of precontrast T1 , which is obtained prior to fitting a tracer kinetic model. As T1 mapping and tracer kinetic signal models are both a function of precontrast T1 it was hypothesized that its joint estimation would improve the accuracy and precision of both precontrast T1 and tracer kinetic model parameters.
Accuracy and/or precision of two-compartment exchange model (2CXM) parameters were evaluated for standard and joint fitting methods in well-controlled synthetic data and for 36 bladder cancer patients. Methods were compared under a number of experimental conditions.
In synthetic data, joint estimation led to statistically significant improvements in the accuracy of estimated parameters in 30 of 42 conditions (improvements between 1.8% and 49%). Reduced accuracy was observed in 7 of the remaining 12 conditions. Significant improvements in precision were observed in 35 of 42 conditions (between 4.7% and 50%). In clinical data, significant improvements in precision were observed in 18 of 21 conditions (between 4.6% and 38%).
Accuracy and precision of DCE-MRI parameter estimates are improved when signal models are fit jointly rather than sequentially. Magn Reson Med 76:1270-1281, 2016. © 2015 Wiley Periodicals, Inc.
提高示踪剂动力学模型参数估计的准确性和精确性,以用于实体肿瘤的动态对比增强(DCE)磁共振成像(MRI)研究。
定量DCE-MRI需要在拟合示踪剂动力学模型之前估计对比前T1值。由于T1映射和示踪剂动力学信号模型均是对比前T1的函数,因此推测其联合估计将提高对比前T1和示踪剂动力学模型参数的准确性和精确性。
在控制良好的合成数据以及36例膀胱癌患者中,针对标准拟合方法和联合拟合方法评估双室交换模型(2CXM)参数的准确性和/或精确性。在多种实验条件下对方法进行比较。
在合成数据中,联合估计在42种情况中的30种情况下使估计参数的准确性有统计学显著提高(提高幅度在1.8%至49%之间)。在其余12种情况中的7种情况下观察到准确性降低。在42种情况中的35种情况下观察到精确性有显著提高(在4.7%至50%之间)。在临床数据中,21种情况中的18种情况下观察到精确性有显著提高(在4.6%至38%之间)。
当联合而非顺序拟合信号模型时,DCE-MRI参数估计的准确性和精确性会提高。《磁共振医学》76:1270 - 1281, 2016。© 2015威利期刊公司。