Magnetic resonance imagingDynamic contrast-enhanced magnetic resonance imaging of human cervical carcinoma xenografts: Pharmacokinetic analysis and correlation to tumor histomorphology
Section snippets
Tumor models
CK-160 and TS-415 cervical carcinoma xenografts, initiated by inoculating ∼5 × 105 cells into the gastrocnemius muscle of adult female BALB/c nu/nu mice, were used as tumor models [15]. DCE-MRI was carried out with anesthetized mice (0.63 mg/kg of fentanyl citrate, 20 mg/kg of fluanisone, and 10 mg/kg of midazolam) when the tumors had grown to a volume of 200–600 mm3. Animal care and experimental procedures were approved by the Institutional Committee on Research Animal Care and were performed in
Results
The histological appearance of representative CK-160 and TS-415 tumors is illustrated in Fig. 1, which shows HE-stained sections (Fig. 1a), sections stained for collagen (Fig. 1b), and sections stained for CD31 (Fig. 1c). Scattered necrotic regions differing in size and shape were seen in all tumors. In the CK-160 tumors, the boundary between viable and necrotic tissue was diffuse due to the presence of keratin, whereas this boundary was sharp in the TS-415 tumors (Fig. 1a). The tumors of both
Discussion
In clinical studies of advanced cervical carcinoma, significant but weak correlations have been found between DCE-MRI-derived parameters and some biological characteristics of the tumors, including microvascular density, expression of vascular endothelial growth factor-A, and oxygen tension [7], [8], [9], [10], [11], [12]. Furthermore, significant associations between DCE-MRI-derived parameters and tumor regression, primary tumor control, and disease-free survival after radiotherapy have been
Acknowledgments
Financial support was received from the Norwegian Cancer Society and the South-Eastern Norway Regional Health Authority.
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Short-term pretreatment DCE-MRI in prediction of outcome in locally advanced cervical cancer
2015, Radiotherapy and OncologyDCE-MRI of the hypoxic fraction, radioresponsiveness, and metastatic propensity of cervical carcinoma xenografts
2014, Radiotherapy and OncologyCitation Excerpt :Values of ve below 0.1 or above 0.8 were used as exclusion criteria, and because we have seen that voxels with ve values slightly above 0.1 and voxels with ve values slightly below 0.8 can have high values of Ktrans, these criteria were probably the optimal ones for CK-160 and TS-415 tumors. All voxels with low Ktrans values were not excluded by using these criteria, and this is in agreement with the observation that regions of CK-160 and TS-415 tumors consisting exclusively of viable tissue can have a significant fraction of voxels with very low Ktrans values [24]. Moreover, this observation suggests that an exclusion criterion based on the value of Ktrans would not be useful for excluding necrotic tissue from analysis in CK-160 and TS-415 tumors.
Pharmacokinetic parameters derived from dynamic contrast enhanced MRI of cervical cancers predict chemoradiotherapy outcome
2013, Radiotherapy and OncologyOn the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer
2011, Magnetic Resonance ImagingCitation Excerpt :Though such a relationship did not exist in our study (data not shown), it is possible that the elimination of necrotic regions can improve the relationship between ve and ADC; but this would be very difficult to assess without ex vivo (postmortem) alignment of histological data to imaging data—data that is difficult to acquire in clinical studies. However, another preclinical study did not find a strong correlation between ve (or Ktrans) and histomorphological parameters [25]. The authors concluded this was mostly likely due to the heterogeneity of tumor tissue found at the subvoxel level.
Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Advanced Cervical Carcinoma: The Advantage of Perfusion Parameters from the Peripheral Region in Predicting the Early Response to Radiotherapy
2018, International Journal of Gynecological Cancer