TY - JOUR
T1 - Pilot study on evaluation of any correlation between MR perfusion (K trans) and diffusion (apparent diffusion coefficient) parameters in brain tumors at 3 tesla
AU - Chu, Jian-Ping
AU - Mak, Henry Ka-Fung
AU - Yau, Kelvin Kai-Wing
AU - Zhang, Linda
AU - Tsang, Janice
AU - Chan, Queenie
AU - Leung, Gilberto Ka-Kit
PY - 2012
Y1 - 2012
N2 - Purpose: To assess any correlation of volume transfer constant (K trans) with apparent diffusion coefficient (ADC) in different brain tumor types at 3 T magnetic resonance (MR) imaging. Materials and methods: Thirteen patients with brain tumors (8 men, 5 women; mean age 54.6 ± 17.7 years) were enrolled in this retrospective study. All patients underwent dynamic contrast-enhanced T 1-weighted MR perfusion and diffusion-weighted imaging using a 3 T scanner. K trans was estimated by specially designed software. For each tumor, regions of interest (ROIs) were manually selected on corresponding K trans and ADC maps. Pearson correlation coefficients were obtained for maximum, mean and minimum values of K trans and ADC of all ROIs. Based on clinicopathologic results, the final diagnoses of patients were glioblastoma multiforme (3), low-grade to anaplastic gliomas (4), meningiomas (3) and metastatic tumors (3). Results: K trans(max) values were significantly inversely correlated with ADC(min) values (r=-0.536, Ptrans(mean) and K trans(min) values were significantly inversely correlated with ADC(mean) (r=-0.228, P=0.038) and ADC(max) values (r=-0.355, P=0.001), respectively. Conclusion: We found that irrespective of brain tumor type, there is an inverse correlation between ADC and K trans. Our findings highlight an intricate relationship between vascular permeability and the tumor microenvironment, probably modulating and/or interacting with changes such as increased cellularity, ischemic insult and varying extracellular matrix composition. © 2012 International Cancer Imaging Society.
AB - Purpose: To assess any correlation of volume transfer constant (K trans) with apparent diffusion coefficient (ADC) in different brain tumor types at 3 T magnetic resonance (MR) imaging. Materials and methods: Thirteen patients with brain tumors (8 men, 5 women; mean age 54.6 ± 17.7 years) were enrolled in this retrospective study. All patients underwent dynamic contrast-enhanced T 1-weighted MR perfusion and diffusion-weighted imaging using a 3 T scanner. K trans was estimated by specially designed software. For each tumor, regions of interest (ROIs) were manually selected on corresponding K trans and ADC maps. Pearson correlation coefficients were obtained for maximum, mean and minimum values of K trans and ADC of all ROIs. Based on clinicopathologic results, the final diagnoses of patients were glioblastoma multiforme (3), low-grade to anaplastic gliomas (4), meningiomas (3) and metastatic tumors (3). Results: K trans(max) values were significantly inversely correlated with ADC(min) values (r=-0.536, Ptrans(mean) and K trans(min) values were significantly inversely correlated with ADC(mean) (r=-0.228, P=0.038) and ADC(max) values (r=-0.355, P=0.001), respectively. Conclusion: We found that irrespective of brain tumor type, there is an inverse correlation between ADC and K trans. Our findings highlight an intricate relationship between vascular permeability and the tumor microenvironment, probably modulating and/or interacting with changes such as increased cellularity, ischemic insult and varying extracellular matrix composition. © 2012 International Cancer Imaging Society.
KW - Apparent diffusion coefficient
KW - Blood-brain barrier
KW - Brain tumor
KW - Diffusion-weighted imaging
KW - Dynamic contrast-enhanced MRI
KW - Permeability
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U2 - 10.1102/1470-7330.2012.0001
DO - 10.1102/1470-7330.2012.0001
M3 - RGC 21 - Publication in refereed journal
C2 - 22275724
SN - 1740-5025
VL - 12
SP - 1
EP - 6
JO - Cancer Imaging
JF - Cancer Imaging
IS - 1
ER -