Dynamic contrast-enhanced magnetic resonance imaging of human cervical carcinoma xenografts: pharmacokinetic analysis and correlation to tumor histomorphology.
OBJECTIVE
Biomarkers that can predict the outcome of treatment accurately are needed for treatment individualization in advanced carcinoma of the uterine cervix. The potential of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was investigated in the present preclinical study.


METHODS
CK-160 and TS-415 human cervical carcinoma xenografts were subjected to DCE-MRI at 1.5T using a spatial resolution of 0.23×0.47×2.0mm(3). Parametric images of K(trans) (the volume transfer constant of Gd-DTPA) and v(e) (the extravascular extracellular volume fraction) were produced by pharmacokinetic analysis of the DCE-MRI data and compared with the histomorphology of the imaged tissue.


RESULTS
Analysis of small homogeneous tumor regions showed that K(trans), but not v(e), differed significantly between parenchymal tissue, connective tissue, and necrotic tissue, consistent with the vascularity of these compartments. However, strong correlations between K(trans) and the fractional volume of the compartments could not be detected for larger tumor regions, primarily because the majority of the voxels represented a chaotic mixture of parenchymal, connective, and necrotic tissue.


CONCLUSIONS
The potential of DCE-MRI in providing detailed information on the histomorphology of cervical carcinoma is limited, mainly because the tumor tissue shows significant morphological heterogeneity at the subvoxel level.
Ellingsen
Christine
C
Department of Radiation Biology, Institute for Cancer Research, Oslo University Hospital, Norway.
Egeland
Tormod A M
TA
Galappathi
Kanthi
K
Rofstad
Einar K
EK
D000818:Animals; D003287:Contrast Media / Q000493:pharmacokinetics*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D051379:Mice; D008807:Mice, Inbred BALB C; D008819:Mice, Nude; D011859:Radiography; D011877:Radionuclide Imaging; D014183:Transplantation, Heterologous; D002583:Uterine Cervical Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology
D003287:Contrast Media