A continuous-infusion dynamic MRI model at 3.0 Tesla for the serial quantitative evaluation of microvascular proliferation in an animal model of glioblastoma multiforme.
A continuous-infusion dynamic MRI model at 3.0 Tesla for the serial quantitative evaluation of microvascular proliferation in an animal model of glioblastoma multiforme.
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DOI:
10.1002/mrm.26591
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发表时间:
2017-11
影响因子:
3.3
通讯作者:
Underhill HR
中科院分区:
文献类型:
--
作者:
Underhill HR
To develop a continuous-infusion dynamic MRI technique to characterize tumor-associated microvascular proliferation (MVP) in a rat brain model of glioblastoma multiforme. The proposed model assumes effects due to tumor-associated MVP (e.g., vascular permeability, Ktrans; intravascular plasma fraction, vp) cannot be individually separated and solves for a single parameter (kvasc) that quantifies the T1-weighted contrast-enhancement from dynamic images acquired during continuous contrast agent (CA) infusion. Untreated C6 tumor-bearing animals (N=6) were serially imaged on post-op days (PODs) 14 and 18 with a 3T clinical scanner utilizing a dynamic spatial and temporal resolution of 0.38×0.38×1.5 mm3 and 3.47 s, respectively. An association was present between PODs 14 and 18 for median tumor kvasc (Pearson’s r=0.94, P=0.0052) and CA concentration ([CA], derived from pre- and post-contrast R1 maps; r=0.94, P=0.0054). On POD 18, there was a voxel-based association between kvasc and [CA] within each tumor (0.45<r<0.82, P<0.001). However, voxel-based sub-regions demonstrated a reduced association between kvasc and [CA] (N=5; −0.08<r< 0.22, P>0.05) or an inverse association (N=1; r= −0.28, P=0.001) indicating differences between locations of vascular permeability and subsequent CA pooling in tumors. The continuous-infusion method may provide a quantitative measure for characterizing and monitoring tumor-associated MVP.
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DOI:
10.1016/j.neurad.2014.02.006
发表时间:
2015-07
期刊:
Journal of neuroradiology = Journal de neuroradiologie
影响因子:
--
作者:
Nicolasjilwan M;Hu Y;Yan C;Meerzaman D;Holder CA;Gutman D;Jain R;Colen R;Rubin DL;Zinn PO;Hwang SN;Raghavan P;Hammoud DA;Scarpace LM;Mikkelsen T;Chen J;Gevaert O;Buetow K;Freymann J;Kirby J;Flanders AE;Wintermark M;TCGA Glioma Phenotype Research Group
通讯作者:
TCGA Glioma Phenotype Research Group
影响因子:
3.5
作者:
Aryal M;Park J;Vykhodtseva N;Zhang YZ;McDannold N
通讯作者:
McDannold N
影响因子:
3.7
作者:
Ng CS;Wei W;Bankson JA;Ravoori MK;Han L;Brammer DW;Klumpp S;Waterton JC;Jackson EF
通讯作者:
Jackson EF
影响因子:
2.6
作者:
Li, KL;Zhu, XP;Jackson, A
通讯作者:
Jackson, A
影响因子:
5.5
作者:
DAVSON, H;SPAZIANI, E
通讯作者:
SPAZIANI, E