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
Department of Physics, Oakland University, Rochester, Michigan, USA; Department of Neurology, Henry Ford Hospital, Detroit, Michigan, USA.
Magn Reson Med. 2014 Jun;71(6):2206-14. doi: 10.1002/mrm.24873. Epub 2013 Jul 22.
To test the hypothesis that a noninvasive 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 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 (K(trans) ), ve , and VD .
Parameter values in regions where the standard model was selected as the best model were: (mean ± S.D.): vp = (0.81 ± 0.40)%, K(trans) = (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 standard model'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 noninvasively by DCE-MRI, thus supporting its utility in assessing tumor pathophysiology.
验证以下假设，即通过非侵入性动态对比增强磁共振成像（DCE-MRI）得出的组织间隙容积分数（ve）和/或分布容积（VD）与脑肿瘤的肿瘤细胞密度相关。
对18只植入U251异种移植物的无胸腺大鼠进行T1加权DCE-MRI研究。DCE-MRI检查后，将脑组织切片用苏木精和伊红染色以进行细胞计数。使用标准模型分析和洛根曲线图，利用注射钆对比剂期间及之后的DCE-MRI图像集来估计血浆容积（vp）、正向转移常数（K(trans)）、ve和VD等参数。
选择标准模型作为最佳模型的区域中的参数值为：（均值±标准差）：vp =（0.81±0.40）%，K(trans) =（2.09±0.65）×10⁻² min⁻¹，ve =（6.65±1.86）%，VD =（7.21±1.98）%。洛根估计的VD与标准模型的vp + ve密切相关（r = 0.91，P < 0.001）。参数ve和/或VD与肿瘤细胞密度显著相关（两者的r≥ -0.75，P < 0.001）。
这些数据表明，DCE-MRI可用于非侵入性估计肿瘤细胞密度，从而支持其在评估肿瘤病理生理学方面的实用性。
