Dynamic contrast enhanced MRI parameters and tumor cellularity in a rat model of cerebral glioma at 7 T.
Dynamic contrast enhanced MRI parameters and tumor cellularity in a rat model of cerebral glioma at 7 T.
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DOI：
10.1002/mrm.24873
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发表时间：
2014-06
影响因子：
3.3
通讯作者：
Ewing, James R.
中科院分区：
文献类型：
--
作者：
Aryal, Madhava P.;Nagaraja, Tavarekere N.;Keenan, Kelly A.;Bagher-Ebadian, Hassan;Panda, Swayamprava;Brown, Stephen L.;Cabral, Glauber;Fenstermacher, Joseph D.;Ewing, James R.
关键词：
为验证无创性动态增强磁共振成像(DCE-MRI)检测脑肿瘤间质体积分数(Ve)和/或分布体积(Vd)与肿瘤细胞密度的相关性。对18只植入U251异种移植物的裸鼠进行了T1加权DCE-MRI研究。DCE-MRI后，切片进行苏木精-伊红染色进行细胞计数。使用标准模型(SM)分析和Logan图形绘制，使用注射Gd造影剂期间和之后的DCE-MRI图像集来估计血浆容量(Vp)、前向转移常数(KTrans)、Ve和Vd。选择SM为最佳模型区域的平均参数值分别为：(Mean±S.D.)：Vp=(0.81±0.40)%，KTRANS=(2.09±0.65)×10−2min−1，Ve=(6.65±1.86)%，Vd=(7.21±1.98)%。Logan估计的Vd与SM的Vp+Ve显著相关(r=0.91p<；0.001)。Ve和/或Vd参数与肿瘤细胞密度显著相关(r≥−均为0.75，p<；0.001)。这些数据表明，DCE-MRI可以非侵入性地估计肿瘤细胞密度，从而支持其在评估肿瘤病理生理学方面的应用。
To test the hypothesis that a non-invasive dynamic contrast enhanced MRI (DCE-MRI) derived interstitial volume fraction (ve) and/or distribution volume (VD) were correlated with tumor cellularity in cerebral tumor. T1-weighted DCE-MRI studies were performed in 18 athymic rats implanted with U251 xenografts. After DCE-MRI, sectioned brain tissues were stained with Hematoxylin and Eosin for cell counting. Using a Standard Model (SM) analysis and Logan graphical plot, DCE-MRI image sets during and after the injection of a gadolinium contrast agent were used to estimate the parameters plasma volume (vp), forward transfer constant (Ktrans), ve, and VD. Mean parameter values in regions where the SM was selected as the best model were: (mean ± S.D.): vp = (0.81±0.40)%, Ktrans = (2.09±0.65) ×10−2 min−1, ve = (6.65±1.86)%, and VD = (7.21±1.98)%. The Logan-estimated VD was strongly correlated with the SM’s vp+ve (r = 0.91, p < 0.001). The parameters, ve and/or VD, were significantly correlated with tumor cellularity (r ≥ −0.75, p < 0.001 for both). These data suggest that tumor cellularity can be estimated non-invasively by DCE-MRI, thus supporting its utility in assessing tumor pathophysiology.
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