Toward a noninvasive estimate of interstitial fluid pressure by dynamic contrast-enhanced MRI in a rat model of cerebral tumor.

Toward a noninvasive estimate of interstitial fluid pressure by dynamic contrast-enhanced MRI in a rat model of cerebral tumor.
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DOI:
10.1002/mrm.27163
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发表时间:
2018-11
影响因子:
3.3
通讯作者:
Ewing JR
Ewing JR
中科院分区:
医学3区
文献类型:
--
作者:
Elmghirbi R;Nagaraja TN;Brown SL;Keenan KA;Panda S;Cabral G;Bagher-Ebadian H;Divine GW;Lee IY;Ewing JR

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这项研究展示了一种动态对比增强磁共振成像(DCE-MRI)对胶质母细胞瘤大鼠模型中肿瘤间质液体压力(TIFP)和水力传导性的估计,并与侵入性“针中芯”(WIN)技术进行了验证。TIFP升高被认为是侵袭性的标志,而TIFP降低是治疗反应的预测指标。对36只裸鼠(对照组和治疗后动物)进行了DCE-MRI研究,并用Win方法测量了TIFP。采用模型选择范式和Patlak和Logan图对DCE-MRI数据的新应用,估计了无创估计TIFP所需的MRI参数。两个模型,一个流体力学模型和一个多变量经验模型,被用来估计TIFP,并与Win-TIFP进行了验证。在对照研究中,U251肿瘤的平均估计水力传导率为(2.3±3.1)×10mm2/−-5[mm~2/mm Hg-S]。在力学模型和经验模型中,Win-TIFP和MRI-TIFP均呈显著正相关。例如,在流体力学模型的对照组中,磁共振成像-TIFP是WIN-TIFP的有力预测因子(R2=0.76p<0.0001)。在经验模型的贝伐单抗治疗组中也发现了类似的结果(R2=0.93p=0.014)。这项研究表明,MRI动态研究包含了足够的信息,可以无创性地估计该肿瘤模型以及其他肿瘤模型中的TIFP,从而可能用于评估肿瘤的侵袭性和治疗反应。
This study demonstrates a dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) estimate of tumor interstitial fluid pressure (TIFP) and hydraulic conductivity in a rat model of glioblastoma, with validation against an invasive ‘wick-in-needle’ (WIN) technique. An elevated TIFP is considered a mark of aggressiveness, and a decreased TIFP a predictor of response to therapy. DCE-MRI studies were conducted in 36 athymic rats (controls and post-treatment animals) with implanted U251 cerebral tumors, and with TIFP measured using a WIN method. Employing a model selection paradigm and a novel application of Patlak and Logan plots to DCE-MRI data, MRI parameters required for estimating TIFP noninvasively were estimated. Two models, a fluid-mechanical model and a multivariate empirical model, were used for estimating TIFP, as verified against WIN-TIFP. Using DCE-MRI, the mean estimated hydraulic conductivity (MRI-K) in U251 tumors was (2.3 ± 3.1) × 10−5 [mm2/mmHg-s] in control studies. Significant positive correlations were found between WIN-TIFP and MRI-TIFP in both mechanical and empirical models. For instance, in the control group of the fluid-mechanical model, MRI-TIFP was a strong predictor of WIN-TIFP (R2 = 0.76, p<0.0001). A similar result was found in the bevacizumab-treated group of the empirical model (R2 = 0.93, p = 0.014). This research suggests that MRI dynamic studies contain enough information to noninvasively estimate TIFP in this, and possibly other, tumor models, and thus might be used to assess tumor aggressiveness and response to therapy.
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发表时间: 2015-11
期刊: NMR in biomedicine
影响因子: 2.9
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