Shukla-Dave Amita, Lee Nancy, Stambuk Hilda, Wang Ya, Huang Wei, Thaler Howard T, Patel Snehal G, Shah Jatin P, Koutcher Jason A
Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
BMC Med Phys. 2009 Apr 7;9:4. doi: 10.1186/1756-6649-9-4.
The present study determines the feasibility of generating an average arterial input function (Avg-AIF) from a limited population of patients with neck nodal metastases to be used for pharmacokinetic modeling of dynamic contrast-enhanced MRI (DCE-MRI) data in clinical trials of larger populations.
Twenty patients (mean age 50 years [range 27-77 years]) with neck nodal metastases underwent pretreatment DCE-MRI studies with a temporal resolution of 3.75 to 7.5 sec on a 1.5T clinical MRI scanner. Eleven individual AIFs (Ind-AIFs) met the criteria of expected enhancement pattern and were used to generate Avg-AIF. Tofts model was used to calculate pharmacokinetic DCE-MRI parameters. Bland-Altman plots and paired Student t-tests were used to describe significant differences between the pharmacokinetic parameters obtained from individual and average AIFs.
Ind-AIFs obtained from eleven patients were used to calculate the Avg-AIF. No overall significant difference (bias) was observed for the transfer constant (Ktrans) measured with Ind-AIFs compared to Avg-AIF (p = 0.20 for region-of-interest (ROI) analysis and p = 0.18 for histogram median analysis). Similarly, no overall significant difference was observed for interstitial fluid space volume fraction (ve) measured with Ind-AIFs compared to Avg-AIF (p = 0.48 for ROI analysis and p = 0.93 for histogram median analysis). However, the Bland-Altman plot suggests that as Ktrans increases, the Ind-AIF estimates tend to become proportionally higher than the Avg-AIF estimates.
We found no statistically significant overall bias in Ktrans or ve estimates derived from Avg-AIF, generated from a limited population, as compared with Ind-AIFs.However, further study is needed to determine whether calibration is needed across the range of Ktrans. The Avg-AIF obtained from a limited population may be used for pharmacokinetic modeling of DCE-MRI data in larger population studies with neck nodal metastases. Further validation of the Avg-AIF approach with a larger population and in multiple regions is desirable.
本研究确定了从有限数量的颈部淋巴结转移患者群体中生成平均动脉输入函数(Avg-AIF)的可行性,该函数将用于更大群体临床试验中动态对比增强磁共振成像(DCE-MRI)数据的药代动力学建模。
20例颈部淋巴结转移患者(平均年龄50岁[范围27 - 77岁])在1.5T临床MRI扫描仪上接受了时间分辨率为3.75至7.5秒的预处理DCE-MRI研究。11个个体动脉输入函数(Ind-AIF)符合预期增强模式的标准,并用于生成Avg-AIF。采用Tofts模型计算药代动力学DCE-MRI参数。使用Bland-Altman图和配对学生t检验来描述从个体和平均动脉输入函数获得的药代动力学参数之间的显著差异。
从11例患者获得的Ind-AIF用于计算Avg-AIF。与Avg-AIF相比,使用Ind-AIF测量的转运常数(Ktrans)未观察到总体显著差异(偏差)(感兴趣区域(ROI)分析p = 0.20,直方图中位数分析p = 0.18)。同样,与Avg-AIF相比,使用Ind-AIF测量的组织间液体积分数(ve)未观察到总体显著差异(ROI分析p = 0.48,直方图中位数分析p = 0.93)。然而,Bland-Altman图表明,随着Ktrans增加,Ind-AIF估计值往往比Avg-AIF估计值成比例地更高。
我们发现,与Ind-AIF相比,从有限群体生成的Avg-AIF得出的Ktrans或ve估计值在统计学上没有总体显著偏差。然而,需要进一步研究以确定在Ktrans范围内是否需要校准。从有限群体获得的Avg-AIF可用于颈部淋巴结转移更大群体研究中DCE-MRI数据的药代动力学建模。期望用更大群体并在多个区域对Avg-AIF方法进行进一步验证。