Skip to main content
Erschienen in: Journal of Ovarian Research 1/2017

Open Access 01.12.2017 | Research

The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas

verfasst von: Su Juan Yuan, Tian Kui Qiao, Jin Wei Qiang, Song Qi Cai, Ruo Kun Li

Erschienen in: Journal of Ovarian Research | Ausgabe 1/2017

Abstract

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 (Ktrans), rate constant (Kep), extravascular extracellular space volume ratio (Ve) 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, p < 0.001) 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 p < 0.01). Ktrans, Kep 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 p < 0.01). There was no significant difference in Ve values among the three grade groups (p > 0.05). Ktrans, Kep and IAUC values were positively correlated with MVD, VEGF and Ki67 expression (all p < 0.01). Ve was not significantly correlated with MVD, VEGF expression, Ki67 expression and the CA125 level (all p > 0.05).

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.
Abkürzungen
CA125
Cancer antigen 125
DCE-MRI
Dynamic contrast enhanced magnetic resonance imaging
DMBA
7, 12-dimethylbenz[A]anthracene
EOCs
Epithelial ovarian carcinomas
H&E staining
Hematoxylin-eosin staining
IHC
Immunohistochemical
MVD
Microvascular density
TIC
Time-signal intensity curve
VEGF
Vascular endothelial growth factor

Background

Imaging examination provides an important basis for diagnosing, staging malignant cancer and making rational treatment plans. In addition, it plays a vital role in predicting treatment response and monitoring recurrence. Magnetic resonance imaging (MRI) has been considered the preferred imaging modality for gynecologic disease due to its multidirectional and multi-parameter imaging characteristics and exquisite soft-tissue resolution [1]. Conventional MRI is only helpful in determining the location, size and nature of the ovarian lesion, and evaluating the response to treatment [2]. As a newly developed method, DCE-MRI quantitatively analyzes the tumor angiogenesis, vascular permeability and spatial distribution of the contrast agent, and has demonstrated the value in predicting disease free survival, prognostic factors, antitumor effects in breast, liver and prostate [37].
However, latest study showed that semi-quantitative DCE-MRI had performed poorly when distinguishing malignant from borderline ovarian tumors [8]. Up to date, the value of quantitative DCE-MRI for investigating histological grades of EOCs has not been performed. Therefore, the aim of our study was to investigate whether quantitative DCE-MRI is a useful tool for assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas (EOCs) by correlating with histopathological grades, microvascular density (MVD), vascular endothelial growth factor (VEGF) and Ki67 expressions and the serum level of cancer antigen 125 (CA125).

Methods

Animals and the rat EOC model

This study was approved by Institutional Review Board of Jinshan Hospital of Fudan University and performed in strict accordance with the Guide for the Care and Use of Laboratory Animals of the National Science and Technology Committee of China. Fourty-six female SD rats (8 weeks old), Shanghai Laboratory Animal Research Center, Shanghai, China) were fed a standard diet and were housed in pathogen-free facilities at 25 ± 1 °C. The right ovary of each rat was surgically exposed, packed a cloth strip (5 mm × 5 mm) coated 2 mg 7,12-dimethylbenz[A] anthracene (DMBA, Sigma Chemical Company, St. Louis, MO, USA), and closed with the surround fatty substance. Benzylpenicillin injection of 105 units was administered intraperitoneally to prevent infection before the abdominal wall was closed. The surgical procedures were referred to previous study [9]. Based on our preliminary experiment, rat EOCs in situ model were successfully established at 180 days after DMBA exposure.

Imaging protocol

One hundred and eighty days after DMBA induction, MRI was carried out using a 3.0 T scanner (Verio, Siemens Healthcare, Erlangen, Germany) and a coil specially designed for rats. First, routine axial T1- and T2-weighted imagings with and without fat faturation were performed to detect the lesions. Second, DCE-MRI using fast low angle shot-2D (FLASH 2D) T1WI with fat saturation (TR/TE, 7.92 ms/2.28 ms) was performed in axial, sagittal and coronal planes after the caudal intravenous administration of 0.2 mmol/kg gadopentetate dimeglumine (Gd-DTPA, Magnevist; Bayer Schering, Berlin, Germany) and at a rate of 0.3 ml/s. A total of 40 phases of images were sequentially acquired with a temporal of 6 s. The scanning parameters were as follows: slice thickness = 1.0 mm, flip angle = 15°, gap = 1 mm, matrix size = 224 × 370, field of view = 80 mm × 62.5 mm and excitation = 4. The total scan duration was 4 min.

Processing and analysis of the quantitative parameters of DCE-MRI

Using Tissue 4D software (Siemens, Erlangen, Germany) and two-compartment (Tofts) modeling, the DCE-MRI images were evaluated by two blinded radiologists each with 6 years of experience in pelvic MRI [10]. The values of the image signal intensity were measured in the slice with a maximum diameter of ovary lesions. By avoiding vessels and flow artifacts as much as possible, three circular regions of interest (ROI) (20–50 mm2) were selected in the solid areas of every lesion, achieved time-signal intensity curves (TICs) and generating the following quantitative parameters automatically: 1) volume transfer constant, Ktrans; 2) reverse volume transfer constant, Kep; and 3) extravascular extracellular space (EES) volume per unit volume of tissue, Ve (the relationship among these three parameters was as follows: Kep = Ktrans/Ve) [11]; and 4) initial areas under the time-intensity curve, IAUC. According to the study of Thomassin-Naggara [12], TIC was divided into three types:type I was defined as a gradual increase without a well-defined shoulder; type II was defined as a moderate initial increase relative to that of myometrium followed by a plateau; type III was defined as an initial increase steeper followed by a plateau.

ELISA

At target time point, rats were immunized by intraperitoneal injection of 10% chloral hydrate, and blood was then taken from the heart. After centrifugation, the supernatants were collected and analyzed for the evaluation of cancer antigen 125 (CA125) in murine serum by ELISA (R&D Systems, Minneapolis, MN) according to the manufacturer’s instructions.

Histopathological and immunohistochemical analysis

After MRI scanning, all rats were sacrificed, dissected and examined for gross abnormalities. Macroscopical specimen of entire reproductive tracts were harvested from the rats and fixed in 10% formalin. The specimen was dissected into sections at 1-3 mm interval by L.W., with 10 years of experience in human and murine gynecological pathology. The tumors were analyzed for morphology, and then the tissues were embedded in paraffin and cut into 3-μm-thick slices. Hematoxylin-eosin (HE) staining was performed to observe the histological type. Immunohistochemical (IHC) (Primary antibodies of CD31, VEGF and Ki67 purchased from Cell Signaling Technology, CA, USA) was applied to investigate the MVD, expression of VEGF and Ki67 in positive cells in EOCs. MVD was analyzed in CD31-stained vascular endothelial cells and determined as the mean microvessel at 3 microscopic fields of vision (HPF, × 200). VEGF expression displayed as brownish yellow granules in the cytoplasm and intercellular spaces, and determined as the mean integrated optical density (IOD) measured by Image-Pro Plus image analysis software at 3 HPFs (×200). Ki67-positive expression indicated the appearance of yellow or brown granules in the nucleus and determined as the percentage of positive tumor cells in 1000 tumor cells assessed at 10 HPFs (×200) with 1000 random cells.

Statistical analysis

Data were analyzed using SPSS 22.0, and values were represented as the means ± standard deviation. Analysis of variance was used for data analysis between multiple groups, and the values between every two groups were analyzed by independent sample T test. The ordinal date was analyzed by rank sum test. Pearson’s correlation was used to analyze the relationship between the DCE-MRI parameters and VEGF, MVD, Ki67 and CA125 expression as follows: a correlation coefficient between 0.75 and 1.00 was considered highly relevant, that between 0.50 and 0.74 was considered moderately relevant, that between 0.25 and 0.49 was considered weakly relevant and that ≤0.249 was not considered relevant. [13]. For T test and rank sum test, p < 0.05 was considered significant; for correlation analysis, p < 0.01 was considered significant.

Results

Successful establishment of the rat ovarian cancer model

Based on previous study and our preliminary experiment, there was best result of induced EOCs and survival rates at 180 days after DMBA implantation. Fourty-four of 46 rats survived and 42 of 44 developed ovarian lesions. All cases were confirmed by postoperative pathology: 1 cyst, 1 cystadenoma, 35 EOCs (19 serous adenocarcinomas, 9 mucous, 4 mixed, 2 endometrioid, 1 clear cell carcinoma) and 5 other non-epitholial malignancies, Thirty-five EOCs accounted for 87.5% of all malignant ovarian tumors. Thirty-five EOCs accounted for 87.5% of all ovarian malignancies, The maximum diameter of tumors ranged from 15.2 ~ 31.0 mm with mean diameter of 25.5 ± 0.76 mm. Tumors appeared as cystic in 6 cases, solid-cystic in 25 cases and solid in 4 cases on conventional MRI and were proven by pathology.

Histological grades of different TIC types in induced EOCs

DCE-MRI showed none of type I(0%) TIC, 6 type II (17.14%), and 29 type III (82.86%), with statistical significance (p<0.001). Compared with tumors with curve type II TIC, tumors with type III showed significantly higher histological grades (p<0.01, Table 1).
Table 1
Histological grades in 35 induced EOCs with different TIC types
Histological grade (WHO)
TIC II
TIC III
Grade 1
4 (40.0%)
6 (60.0%)
Grade 2
1 (11.1%)
8 (88.9%)
Grade 3
1 (6.2%)
15 (93.8%)

DCE-MRI parameters in different histological grades of 35 induced EOCs

The mean Ktrans value was 0.22 ± 0.06, mean Kep value was 0.48 ± 0.13, mean Ve value was 0.51 ± 0.12 and mean IAUC value was 27.62 ± 8.15 in 35 rat EOCs. DCE-MRI parameters in different histological grades are summarized in Table 2. The mean Ktrans, Kep, and IAUC values significantly increased along with tumor grades increasing. There were significant differences in the overall comparison and in pairwise comparisons (all p < 0.05) except for IAUC in grade 2 vs. grade 3. There was no significant difference in the mean Ve values among the three grades (p > 0.05).
Table 2
Comparisons of DCE-MRI parameters in different histological grades in 35 induced EOCs
Histological grade
Ktrans
Kep
Ve
IAUC
Grade 1
0.16 ± 0.01
0.36 ± 0.02
0.51 ± 0.02
20.08 ± 1.86
Grade 2
0.22 ± 0.01c
0.47 ± 0.03c
0.53 ± 0.02
28.07 ± 1.96c
Grade 3
0.26 ± 0.01ab
0.55 ± 0.02 ab
0.53 ± 0.02
32.33 ± 1.91b
p < 0.05 a: grade3 vs. grade 2; b: grade 3 vs. grade 1; C: grade 2 vs. grade 1

MVD, VEGF and Ki67 expressions, and CA125 level EOCs with different TIC types

As shown in Table 3, the MVD, expressions of VEGF and Ki67-positive tumor cells and CA 125 level between tumors with type II and type III TIC showed statistical significance (p<0.01) (Figs. 1, 2, 3 and 4).
Table 3
Comparisons of MVD, VEGF and Ki67 expression and CA125 level in different TIC types in induced EOCs
 
TIC II
TIC III
t
p
MVD
20.17 ± 1.81
24.1 ± 3.4
2.672
0.012
VEGF (×103)
(14.46 ± 7.40)
(35.79 ± 17.00)
2.987
0.005
Ki67 (%)
(22.2 ± 13.1)
(37.5 ± 11.1)
4.649
0.005
CA 125(U/mL)
(242.17 ± 104.29)
(353.44 ± 65.60)
3.848
0.009

Correlations between DCE-MRI parameters and MVD, VEGF expression and Ki67-positive expression and CA125

As shown in Table 4, the mean Ktrans was highly positively correlated with MVD (23.46 ± 3.602) and VEGF ((32.13 ± 17.68) × 103) and was moderately positively correlated with the Ki67-positive cell proportion (34.91 ± 12.70) % and CA125 level (33.13 ± 82.17) U/mL (all p<0.01); Kep was moderately positively correlated with MVD, VEGF, Ki67 and weakly positively correlated with CA125 (all p<0.01); no significant correlation was observed between Ve and MVD, VEGF, Ki67 or CA125 (all p>0.05); IAUC was highly positively correlated with VEGF, moderately positively correlated with MVD and Ki67, and weakly positively correlated with CA125 (all p<0.01).
Table 4
Correlation between the DCE-MRI parameters and MVD, VEGF and Ki67 expression and CA125 level
 
Ktrans
Kep
Ve
IAUC
r
p
r
p
r
p
r
p
MVD
0.755
<0.001
0.502
0.002
0.146
0.463
0.714
<0.001
VEGF
0.808
<0.001
0.526
0.001
0.181
0.287
0.752
<0.001
Ki67
0.689
<0.001
0.537
0.001
0.071
0.686
0.670
<0.001
CA125
0.541
0.001
0.448
0.007
0.042
0.809
0.486
0.003

Discussion

EOCs makes up 85%–90% of ovarian maligancies, is one of the three major gynecological malignant tumors in the world and its mortality rate ranks first [14]. Poor prognosis may be associated with inaccurate staging, being diagnosed at late stages, easy recurrence and metastases after operation, drug-resistance and improper choice of antineoplastic drug. Therefore, accurate staging and evaluating histopathological and molecular biological characteristics of EOCs pre-treatment contributes to the rational choice of treatment strategy and prognosis prediction [15].
In this study, with 180 days DMBA-induction continuously, we successfully established rat EOCs in situ, of which EOCs accounted for 87.5% of all ovarian malignancies. These results demonstrated histological similarities to human ovarian malignancies, which would be suitable for DCE-MRI study. Based on the induced rat EOCs model, our study showed the value of DCE-MRI in assessing histopathological and molecular biological features of tumors by correlation between TIC, quantitative parameters (Ktrans, Kep and IAUC) and histopathological grade, MVD, VEGF and Ki-67 expressions, and CA125 level.
Higher-grade ovarian cancer has a higher potency in terms of angiogenesis [16]. MVD is substitute biomarker of tumor angiogenesis [17]. VEGF is the most characteristic natural precursors of angiogenic factors [18]. Ki-67 is considered the most reliable marker for detecting the proliferative activity of tumor cells [19]. CA125 is an important indicator to diagnose ovarian cancer and is associated with differentiation and progression [20]. MVD, VEGF and its receptor, Ki67 and CA125 might affect the outcome of patients with malignant tumors, including EOCs [2125].
TIC has been applied in the differential diagnosis of breast, prostate, ovary and other lesions, suggesting that all benign tumors had type I, the majority of malignant tumors had type III, only a small number of them had type II, and none had type I; type III TIC appeared to be specific for malignant tumors and was never observed in benign tumors [26, 27]. Our study showed that type III TIC outnumbered type II considerably, which was in accordance with the previous literatures [28, 29]. Moreover, compared with EOCs with curve type II TIC, EOCs with type III demonstrated significantly higher histological grade, MVD, VEGF expression, Ki67-positive cells and serum CA125 level, indicating a poor prognosis due to its high but immature neovascularization, low differentiation and active proliferative capacity.
Ktrans and Kep reflect vessel permeability and tissue perfusion, as well as tumor angiogenesis. Our results showed that Ktrans and Ve increased significantly along with higher histological grade, and were positively correlated with MVD, VEGF expression, the fraction of Ki67-positive cells and the CA125 level. The higher the histological grade of, more active proliferation and more neovascularization in malignant tumors signify, the more incomplete basement membrane, leading to higher vascular permeability, exchanges of contrast agent consequently, and higher Ktrans and Kep values. Our findings were also in agreement with previous findings [30, 31].
IAUC is associated with blood flow in the tumor, volume and interstitial space, and is the comprehensive reflection of the changes in Ktrans, Kep and Ve [32]. In our study, compared with that in grade 1, IAUC in grade 2 and 3 increased dramatically, which suggested that IAUC could reflect histological grade of EOCs to a certain extent. IAUC was positively correlated with MVD, VEGF expression, the fraction of Ki67-positive cells and CA125 level. We considered that the more neovascularization, higher permeability, together with, densely packed tumor cells and confined interstitial space in higher grades of EOCsresulted in increased IAUC value.
Ve represents the indirect appearance of tumor angiogenesis to some extent. In our findings, no significant relationships were observed between Ve and histological grade, MVD, VEGF expression, the fraction of Ki67-positive cells and the CA125 level. The reason might be that, on the one hand, more neovascularization and higher permeability increased blood perfusion in tumor tissue, resulting in a larger proportion of EES with contrast agent; on the other hand, an increasing vessels and tumor cells can result in a relatively decreased EES.

Conclusions

In conclusion, our results revealed that the TIC types and parameters of DCE-MRI, Ktrans, Kep and IAUC, could reflect the histological grade, angiogenesis, and cell proliferation to some degree, thereby helping treatment planning, predicting prognosis and recurrence, as well as guide targeted drug therapy in the clinical setting. However, the specific threshold values and how they are related to patient’s physical constitution and clinical staging need further investigation.

Acknowledgements

Grants from: National Natural Science Foundation of China (Grant No.81471628); Shanghai Municipal Commission of Science & Technology (Grant No.124119a3300) and Shanghai Municipal Commission of Health and Family Planning (Grant No. 2013SY075, Grant No. ZK2012A16).

Availability of data and materials

Not applicable.

Ethics approval

All protocols were performed in accordance with the ethical claims of the Institutional Animal Care and Ethics Committee of Jinshan Hospital of Fudan University.
All authors of this manuscript are content with the publication.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Maas AM, Bretz AC, Mack E, Stiewe T. Targeting p73 in cancer. Cancer Lett. 2013;332:229–36.CrossRefPubMed Maas AM, Bretz AC, Mack E, Stiewe T. Targeting p73 in cancer. Cancer Lett. 2013;332:229–36.CrossRefPubMed
2.
Zurück zum Zitat Mohaghegh P, Rockall AG. Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques. Radiographics. 2012;32:1751–73.CrossRefPubMed Mohaghegh P, Rockall AG. Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques. Radiographics. 2012;32:1751–73.CrossRefPubMed
3.
Zurück zum Zitat Tuncbilek N, Tokatli F, Altaner S, Sezer A, Türe M, Omurlu IK, et al. Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients. Eur J Radiol. 2012;81:863–7.CrossRefPubMed Tuncbilek N, Tokatli F, Altaner S, Sezer A, Türe M, Omurlu IK, et al. Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients. Eur J Radiol. 2012;81:863–7.CrossRefPubMed
4.
Zurück zum Zitat Koo HR, Cho N, Song IC, Kim H, Chang JM, Yi A, et al. Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers. J Magn Reson Imaging. 2012;36:145–51.CrossRefPubMed Koo HR, Cho N, Song IC, Kim H, Chang JM, Yi A, et al. Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers. J Magn Reson Imaging. 2012;36:145–51.CrossRefPubMed
5.
Zurück zum Zitat Bali MA, Metens T, Denolin V, Delhaye M, Demetter P, Closset J. et al. Tumoral and nontumoral pancreas: correlation between quantitative dynamic contrast-enhanced MR imaging and histopathologic parameters. Radiology. 2011;261: 456–66. Bali MA, Metens T, Denolin V, Delhaye M, Demetter P, Closset J. et al. Tumoral and nontumoral pancreas: correlation between quantitative dynamic contrast-enhanced MR imaging and histopathologic parameters. Radiology. 2011;261: 456–66.
6.
Zurück zum Zitat De Bruyne S, Van Damme N, Smeets P, Ferdinande L, Ceelen W, Mertens J, et al. Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases. Br J Cancer. 2012;106:1926–33.CrossRefPubMedPubMedCentral De Bruyne S, Van Damme N, Smeets P, Ferdinande L, Ceelen W, Mertens J, et al. Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases. Br J Cancer. 2012;106:1926–33.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Seitz M, Shukla-Dave A, Bjartell A, Touijer K, Sciarra A, Bastian PJ, et al. Functional magnetic resonance imaging in prostate cancer. Eur Urol. 2009;55:801–14.CrossRefPubMed Seitz M, Shukla-Dave A, Bjartell A, Touijer K, Sciarra A, Bastian PJ, et al. Functional magnetic resonance imaging in prostate cancer. Eur Urol. 2009;55:801–14.CrossRefPubMed
8.
Zurück zum Zitat Li HM, Qiang JW, Ma FH, Zhao SH. The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors. J Ovarian Res. 2017;10:4–10.CrossRefPubMedPubMedCentral Li HM, Qiang JW, Ma FH, Zhao SH. The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors. J Ovarian Res. 2017;10:4–10.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Huang Y, Jiang W, Wang Y, Zheng Y, Cong Q, Xu C. Enhanced efficacy and specificity of epithelial ovarian carcinogenesis by embedding a DMBA-coated cloth strip in the ovary of rat. J Ovarian Res. 2012;5:21–8.CrossRefPubMedPubMedCentral Huang Y, Jiang W, Wang Y, Zheng Y, Cong Q, Xu C. Enhanced efficacy and specificity of epithelial ovarian carcinogenesis by embedding a DMBA-coated cloth strip in the ovary of rat. J Ovarian Res. 2012;5:21–8.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10:223–32.CrossRefPubMed Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10:223–32.CrossRefPubMed
11.
Zurück zum Zitat Gupta R, Moupachi SS, Poorey VK. Sinonasal masses: a retrospective analysis. Indian J Otolaryngol Head Neck Surg. 2013;65:52–6.CrossRefPubMed Gupta R, Moupachi SS, Poorey VK. Sinonasal masses: a retrospective analysis. Indian J Otolaryngol Head Neck Surg. 2013;65:52–6.CrossRefPubMed
12.
Zurück zum Zitat Thomassin-Naggara I, Daraï E, Cuenod CA, Rouzier R, Callard P, Bazot M. Dynamic contrast-enhanced magnetic resonance imaging: a useful tool for characterizing ovarian epithelial tumors. J Magn Reson Imaging. 2008;28:111–20.CrossRefPubMed Thomassin-Naggara I, Daraï E, Cuenod CA, Rouzier R, Callard P, Bazot M. Dynamic contrast-enhanced magnetic resonance imaging: a useful tool for characterizing ovarian epithelial tumors. J Magn Reson Imaging. 2008;28:111–20.CrossRefPubMed
13.
14.
15.
Zurück zum Zitat Bamias A, Sotiropoulou M, Zagouri F, Trachana P, Sakellariou K, Kostouros E, et al. Prognostic evaluation of tumour type and other histopathological characteristics in advanced epithelial ovarian cancer, treated with surgery and paclitaxel/carboplatin chemotherapy: cell type is the most useful prognostic factor. Eur J Cancer. 2012;48:1476–83.CrossRefPubMed Bamias A, Sotiropoulou M, Zagouri F, Trachana P, Sakellariou K, Kostouros E, et al. Prognostic evaluation of tumour type and other histopathological characteristics in advanced epithelial ovarian cancer, treated with surgery and paclitaxel/carboplatin chemotherapy: cell type is the most useful prognostic factor. Eur J Cancer. 2012;48:1476–83.CrossRefPubMed
16.
Zurück zum Zitat Yi H, Ye J, Yang XM, Zhang LW, Zhang ZG, Chen YP. High-grade ovarian cancer secreting effective exosomes in tumor angiogenesis. Int J Clin Exp Pathol. 2015;8:5062–70.PubMedPubMedCentral Yi H, Ye J, Yang XM, Zhang LW, Zhang ZG, Chen YP. High-grade ovarian cancer secreting effective exosomes in tumor angiogenesis. Int J Clin Exp Pathol. 2015;8:5062–70.PubMedPubMedCentral
17.
Zurück zum Zitat Mikalsen LT, Dhakal HP, Bruland OS, Nesland JM, Olsen DR. Quantification of angiogenesis in breast cancer by automated vessel identification in CD34 immunohistochemical sections. Anticancer Res. 2011;31:4053–60.PubMed Mikalsen LT, Dhakal HP, Bruland OS, Nesland JM, Olsen DR. Quantification of angiogenesis in breast cancer by automated vessel identification in CD34 immunohistochemical sections. Anticancer Res. 2011;31:4053–60.PubMed
18.
19.
Zurück zum Zitat Thomas LN, Chedrawe ER, Barnes PJ, Too CK. Prolactin/androgen-inducible carboxypeptidase-D increases with nitrotyrosine and Ki67 for breast cancer progression in vivo, and upregulates progression markers VEGF-C and Runx2 in vitro. Breast Cancer Res Treat. 2017;164:27–40.CrossRefPubMed Thomas LN, Chedrawe ER, Barnes PJ, Too CK. Prolactin/androgen-inducible carboxypeptidase-D increases with nitrotyrosine and Ki67 for breast cancer progression in vivo, and upregulates progression markers VEGF-C and Runx2 in vitro. Breast Cancer Res Treat. 2017;164:27–40.CrossRefPubMed
20.
Zurück zum Zitat Morgado M, Sutton MN, Simmons M, Warren CR, Lu Z, Constantinou PE, et al. Tumor necrosis factor-α and interferon-γ stimulate MUC16 (CA125) expression in breast, endometrial and ovarian cancers through NFκB. Oncotarget. 2016;7:14871–84.CrossRefPubMedPubMedCentral Morgado M, Sutton MN, Simmons M, Warren CR, Lu Z, Constantinou PE, et al. Tumor necrosis factor-α and interferon-γ stimulate MUC16 (CA125) expression in breast, endometrial and ovarian cancers through NFκB. Oncotarget. 2016;7:14871–84.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Zhang Y, Xu Y, Ma J, Pang X, Dong M. Adrenomedullin promotes angiogenesis in epithelial ovarian cancer through upregulating hypoxia-inducible factor-1α and vascular endothelial growth factor. Sci Rep. 2017;7:40524–32.CrossRefPubMedPubMedCentral Zhang Y, Xu Y, Ma J, Pang X, Dong M. Adrenomedullin promotes angiogenesis in epithelial ovarian cancer through upregulating hypoxia-inducible factor-1α and vascular endothelial growth factor. Sci Rep. 2017;7:40524–32.CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Dai Y, Jiang J, Wang Y, Jin Z, Hu S. The correlation and clinical implication of VEGF-C expression in microvascular density and lymph node metastasis of gastric carcinoma. Am J Transl Res. 2016;8:5741–7.PubMedPubMedCentral Dai Y, Jiang J, Wang Y, Jin Z, Hu S. The correlation and clinical implication of VEGF-C expression in microvascular density and lymph node metastasis of gastric carcinoma. Am J Transl Res. 2016;8:5741–7.PubMedPubMedCentral
23.
Zurück zum Zitat Zhou D, Cheng SQ, Ji HF, Wang JS, Xu HT, Zhang GQ, et al. Evaluation of protein pigment epithelium-derived factor (PEDF) and microvessel density (MVD) as prognostic indicators in breast cancer. J Cancer Res Clin Oncol. 2010;136:1719–27.CrossRefPubMed Zhou D, Cheng SQ, Ji HF, Wang JS, Xu HT, Zhang GQ, et al. Evaluation of protein pigment epithelium-derived factor (PEDF) and microvessel density (MVD) as prognostic indicators in breast cancer. J Cancer Res Clin Oncol. 2010;136:1719–27.CrossRefPubMed
24.
Zurück zum Zitat Liu P, Sun YL, Du J, Hou XS, Meng H. CD105/Ki67 coexpression correlates with tumor progression and poor prognosis in epithelial ovarian cancer. Int J Gynecol Cancer. 2012;22:586–92.CrossRefPubMed Liu P, Sun YL, Du J, Hou XS, Meng H. CD105/Ki67 coexpression correlates with tumor progression and poor prognosis in epithelial ovarian cancer. Int J Gynecol Cancer. 2012;22:586–92.CrossRefPubMed
25.
Zurück zum Zitat Pelissier A, Roulot A, Guéry B, Bonneau C, Bellet D, Rouzier R. Serum CA125 and HE4 levels as predictors for optimal interval surgery and platinum sensitivity after neoadjuvant platinum-based chemotherapy in patients with advanced epithelial ovarian cancer. J Ovarian Res. 2016;9:61–6.CrossRefPubMedPubMedCentral Pelissier A, Roulot A, Guéry B, Bonneau C, Bellet D, Rouzier R. Serum CA125 and HE4 levels as predictors for optimal interval surgery and platinum sensitivity after neoadjuvant platinum-based chemotherapy in patients with advanced epithelial ovarian cancer. J Ovarian Res. 2016;9:61–6.CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Li X, Hu JL, Zhu LM, Sun XH, Sheng HQ, Zhai N, et al. The clinical value of dynamic contrast-enhanced MRI in differential diagnosis of malignant and benign ovarian lesions. Tumour Biol. 2015;36:5515–22.CrossRefPubMed Li X, Hu JL, Zhu LM, Sun XH, Sheng HQ, Zhai N, et al. The clinical value of dynamic contrast-enhanced MRI in differential diagnosis of malignant and benign ovarian lesions. Tumour Biol. 2015;36:5515–22.CrossRefPubMed
27.
Zurück zum Zitat Türkbey B, Thomasson D, Pang Y, Bernardo M, Choyke PL. The role of dynamic contrast-enhanced MRI in cancer diagnosis and treatment. Diagn Interv Radiol. 2010;16:186–92.PubMed Türkbey B, Thomasson D, Pang Y, Bernardo M, Choyke PL. The role of dynamic contrast-enhanced MRI in cancer diagnosis and treatment. Diagn Interv Radiol. 2010;16:186–92.PubMed
28.
Zurück zum Zitat Ren J, Huan Y, Wang H, Chang YJ, Zhao HT, Ge YL, et al. Dynamic contrast-enhanced MRI of benign prostatic hyperplasia and prostatic carcinoma: correlation with angiogenesis. Clin Radiol. 2008;63:153–9.CrossRefPubMed Ren J, Huan Y, Wang H, Chang YJ, Zhao HT, Ge YL, et al. Dynamic contrast-enhanced MRI of benign prostatic hyperplasia and prostatic carcinoma: correlation with angiogenesis. Clin Radiol. 2008;63:153–9.CrossRefPubMed
29.
Zurück zum Zitat Li HM, Qiang JW, Xia GL, Zhao SH, Ma FH, Cai SQ, et al. MRI for differentiating ovarian endometrioid adenocarcinoma from high-grade serous adenocarcinoma. J Ovarian Res. 2015;8:26–33.CrossRefPubMedPubMedCentral Li HM, Qiang JW, Xia GL, Zhao SH, Ma FH, Cai SQ, et al. MRI for differentiating ovarian endometrioid adenocarcinoma from high-grade serous adenocarcinoma. J Ovarian Res. 2015;8:26–33.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Yao WW, Zhang H, Ding B, Fu T, Jia H, Pang L, et al. Rectal cancer: 3D dynamic contrast-enhanced MRI; correlation with microvascular density and clinicopathological features. Radiol Med. 2011;116:366–74.CrossRefPubMed Yao WW, Zhang H, Ding B, Fu T, Jia H, Pang L, et al. Rectal cancer: 3D dynamic contrast-enhanced MRI; correlation with microvascular density and clinicopathological features. Radiol Med. 2011;116:366–74.CrossRefPubMed
31.
Zurück zum Zitat Ahn SJ, An CS, Koom WS, Song HT, Suh JS. Correlations of 3T DCE-MRI quantitative parameters with microvessel density in a human-colorectal-cancer xenograft mouse model. Korean J Radiol. 2011;12:722–30.CrossRefPubMedPubMedCentral Ahn SJ, An CS, Koom WS, Song HT, Suh JS. Correlations of 3T DCE-MRI quantitative parameters with microvessel density in a human-colorectal-cancer xenograft mouse model. Korean J Radiol. 2011;12:722–30.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Hirashima Y, Yamada Y, Tateishi U, Kato K, Miyake M, et al. Pharmacokinetic parameters from 3-Tesla DCE-MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis. Int J Cancer. 2012;130:2359–65.CrossRefPubMed Hirashima Y, Yamada Y, Tateishi U, Kato K, Miyake M, et al. Pharmacokinetic parameters from 3-Tesla DCE-MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis. Int J Cancer. 2012;130:2359–65.CrossRefPubMed
Metadaten
Titel
The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas
verfasst von
Su Juan Yuan
Tian Kui Qiao
Jin Wei Qiang
Song Qi Cai
Ruo Kun Li
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
Journal of Ovarian Research / Ausgabe 1/2017
Elektronische ISSN: 1757-2215
DOI
https://doi.org/10.1186/s13048-017-0362-z

Weitere Artikel der Ausgabe 1/2017

Journal of Ovarian Research 1/2017 Zur Ausgabe

Update Gynäkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert – ganz bequem per eMail.