BACKGROUND: To investigate dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) for assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas (EOCs). METHODS: 7,12-dimethylbenz[A]anthracene (DMBA) was applied to induce EOCs in situ in 46 SD rats. Conventional MRI and DCE-MRI were performed to evaluate the morphology and perfusion features of the tumors, including the time-signal intensity curve (TIC), volume transfer constant (K(trans)), rate constant (K(ep)), extravascular extracellular space volume ratio (V(e)) and initial area under the curve (IAUC). DCE-MRI parameters were correlated with histological grade, microvascular density (MVD), vascular endothelial growth factor (VEGF) and fraction of Ki67-positive cells and the serum level of cancer antigen 125 (CA125). RESULTS: Thirty-five of the 46 rats developed EOCs. DCE-MRI showed type III TIC more frequently than type II (29/35 vs. 6/35, pâ<â0.001) in EOCs. The two types of TIC of tumors had significant differences in the histological grade, MVD, expression of VEGF and Ki67, and the serum level of CA125 (all pâ<â0.01). K(trans), K(ep) and IAUC values showed significant differences in different histological grades in overall and pairwise comparisons except for IAUC in grade 2 vs. grade 3 (all pâ<â0.01). There was no significant difference in V(e) values among the three grade groups (p > 0.05). K(trans), K(ep) and IAUC values were positively correlated with MVD, VEGF and Ki67 expression (all pâ<â0.01). V(e) was not significantly correlated with MVD, VEGF expression, Ki67 expression and the CA125 level (all pâ>â0.05). CONCLUSIONS: TIC types and perfusion parameters of DCE-MRI can reflect tumor grade, angiogenesis and cell proliferation to some extent, thereby helping treatment planning and predicting prognosis.
The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas.
DCE-MRI 在评估诱导的大鼠卵巢上皮癌的组织病理学和分子生物学特征方面的价值
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作者:Yuan Su Juan, Qiao Tian Kui, Qiang Jin Wei, Cai Song Qi, Li Ruo Kun
| 期刊: | Journal of Ovarian Research | 影响因子: | 4.200 |
| 时间: | 2017 | 起止号: | 2017 Sep 26; 10(1):65 |
| doi: | 10.1186/s13048-017-0362-z | 种属: | Rat |
| 研究方向: | 肿瘤 | ||
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