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Int J Biol Sci 2011; 7(5):600-606. doi:10.7150/ijbs.7.600

Short Research Communication

Study on the Characteristics of Contrast-Enhanced Ultrasound and Its Utility in Assessing the Microvessel Density in Ovarian Tumors or Tumor-Like Lesions

Junyan Wang1, Faqin Lv1, Xiang Fei1, Qiuli Cui1, Longxia Wang1, Xuewen Gao1, Zhixian Yuan1, Qian Lin1, Yali Lv2, Aijun Liu2 Corresponding address

1. Departments of Ultrasound, the Chinese PLA General Hospital, Beijing 100853, China
2. Departments of Pathology, the Chinese PLA General Hospital, Beijing 100853, China

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See http://ivyspring.com/terms for full terms and conditions.
How to cite this article:
Wang J, Lv F, Fei X, Cui Q, Wang L, Gao X, Yuan Z, Lin Q, Lv Y, Liu A. Study on the Characteristics of Contrast-Enhanced Ultrasound and Its Utility in Assessing the Microvessel Density in Ovarian Tumors or Tumor-Like Lesions. Int J Biol Sci 2011; 7(5):600-606. doi:10.7150/ijbs.7.600. Available from http://www.ijbs.com/v07p0600.htm

Abstract

Angiogenesis is a critical factor in tumor growth and metastasis, and microvessel density (MVD) was an important parameter for assessing vessels in tumors. However, radiologic assessment of tumor vascularity is not yet well established. In our study, we aimed at investigating the efficacy of contrast-enhanced ultrasonography (CEUS) in exploring the vascularity of the ovarian tumors or tumor-like lesions to assess the relationship between the parameters of the peak intensity (PI) and area under curve (AUC) on CEUS and MVD in ovarian masses. Compared to the contrast-enhanced ultrasound technique, conventional ultrasound shows limitation in differentiating benign and malignant ovarian tumors. The former is promising in improving the sensitivity of detecting small vessels and blood flow in ovarian tumors. Our results showed clear differences in enhancement patterns between benign and malignant ovary tumors or tumor-like lesions. The PI and AUC in the malignant tumors were significantly higher than those in the benign tumors or tumor-like lesions (p=0.001 and =0.01, respectively). The MVD was 43.1 ± 20.4 in the benign tumors or tumor-like lesions and was 65.3 ± 22.3 in the malignant ones (p= 0.01). In both the benign and malignant groups, the PI and AUC were correlated significantly with the MVD (r=0.595, p = 0.001; r =0.533, p = 0.003, respectively). The PI and AUC in CEUS can reflect the MVD in ovarin tumors. The PI and AUC of the ovarian masses in the contrast transvaginal sonography show significant correlation with the angiogenesis and may help in assessing tumor vascularity in ovarian masses.

Keywords: ovarian tumor, ultrasound, contrast agent, microvessel density

Introduction

Ovarian cancer is the leading cause of death from gynecological malignancy and the fifth most common cause of cancer-related death in women. Angiogenesis is a critical factor for tumor growth and metastasis in a variety of human tumors, including ovarian cancer [1-4]. Therefore, studying the tumor angiogenesis and microvessel density (MVD) can help to assess the prognosis of cancer patients [5-6]. Currently, imaging techniques such as CT, MRI, and ultrasound have been widely used in preoperative diagnosis of ovarian tumors [7, 8]. Thereinto, ultrasound is a convenient imaging technique. Owing to the lack of reflection from red blood cells and low signal to noise ratio, conventional transvaginal color Doppler ultrasound shows limitation in differentiating ovarian tumors with similar acoustic properties, relatively low and small blood vessels, and slow flow [9-11]. CEUS has been used preoperatively in diagnosing ovarian tumor as well as for correlating ultrasound characteristics and tumor angiogenesis [12-18]. In 1994, Suren [19] reported that Levovist (Schering, Berlin, Germany) succeeded in enhancing the Doppler signal strength in small ovarian tumors. Ten years later, Testa et al. [20] reported the utitility of second-generation ultrasound contrast agent SonoVue (Bracco, Italy) during transvaginal ultrasound for differentiating benign and malignant ovarian masses in 33 patients. In their study [20], CEUS was more accurate in displaying a microvascular bed than conventional Droppler imaging and therefore showed better differentiation ability than the latter.

Studies on angiogenesis of ovarian cancer have demonstrated a significant correlation of the angiogenesis with the prognosis in ovarian cancer [21, 22]. Xie et al [23] found that the peak velocity of ovarian tumor blood flow as detected by CDFI was positively correlated with MVD, reflecting the tumor angiogenesis status. So far, there have been only few reports on transvaginal CEUS characteristics and their relationship with MVD in benign and malignant ovarian lesions. Our study aimed at analyzing the CEUS parameters and their relations to MVD detected by immunohistochemistry in 62 ovarian benign and malignant tumors or tumor-like lesions.

Materials and methods

Patient selection

Sixty-two patients (mean age 43.2±3.9 years, range 38-74 years) who were diagnosed to have an ovarian mass that was difficult to confirm by conventional ultrasound in our hospital from October 2005 to March 2010 were enrolled in this study. All these patients received a contrast-enhanced transvaginal ultrasound to identify the characteristics and tumor angiogenesis.

Ultrasound examination

CEUS was performed with an Acuson Sequoia 512 ultrasound system (Siemens Medical Solutions, Mountain View, CA), contrast pulse sequence (CPS), real-time ultrasound imaging software, and EV8-C4 (4-8 MHz) endovaginal probe.

The following procedures were performed: (1) recording of the ovarian mass size, echo characteristics, border, color Doppler flow distribution with conventional transvaginal ultrasound and color Doppler scale; (2) determination of the angiographic target: ultrasound image analysis performed for one ovarian mass side with unclear diagnosis or typical lesions; (3) selection of the plane with solid lesion part, thick cyst wall, a cavity containing papilla, or the most abundant blood supply indicated by CDFI as the best imaging observation view, then switching to contrast pulse sequencing (CPS) with low mechanical index (MI) ranging from 0.12 to 0.16 (the radio frequency signal, log values and pixel density were used). The probe in all the procedures was maintained in the same position; (4) All patients received injections of a sulfur hexafluoride ultrasound contrast agent (SonoVue; Bracco SpA, Milan, Italy). The agent (25 mg) was shaken for about 1 minute with 5 mL of 0.9% saline solution, and 4.8 mL of this suspension was injected as a bolus manually through an 18-gauge cannula placed in the antecubital vein. Then 5 mL of a 0.9% saline flush was injected. Seven seconds after the blush count time started, the real-time enhancement pattern of contrast agent inside the tumor was observed for 3-5 minutes and the imaging video was recorded. After scanning, the video was replayed and the area with significant contrast enhancement was chosen as the ROI which was manually outlined. The time-intensity curve (TIC) was drawn automatically with quantitative imaging analysis software (AxiusTM auto tracking contrast quantification, ACQ) to obtain the following parameters under intra-lesion contrast perfusion: arrival time (AT), peak intensity (PI), time to peak intensity (TTP), and the area under the curve (AUC). Data were processed in the same conditions with the same ultrasound system. The enhancement patterns and TIC results were analyzed by two physicians.

Immunohistochemistry

The ovarian tumors or tumor-like lesions surgically removed were embedded in paraffin, sectioned, and immunohistochemically stained for CD34 with a monoclonal mouse anti-human antibody (Dako Reagent Company, Carpinteria, CA, USA). A positive control (known ovarian cancer section) and a negative control (PBS instead of primary antibody) were used for all stains. Positive CD34 staining was seen in the cytoplasm of vascular endothelial cells. Brown-stained individual vascular endothelial cells or endothelial cell clusters were counted as one microvessel. Vasculature with significant smooth muscle wall and lumen greater than the diameter of eight blood vessels were not counted.

The MVD was determined by the modified quantification method as reported by Weidner et al [24]. Five fields of the most MVD expression particles were observed at low magnification (× 100), and then counted at higher magnification (× 200). The mean MVD value was calculated.

Statistical analysis

SPSS 16.0 statistical software was used for data analysis. Quantitative data was expressed as (Int J Biol Sci inline graphic). An independent sample t-test was used to compare the differences between the two groups. The ultrasound parameters and MVD in benign and malignant ovarian tumors or tumor-like lesions were compared using bi-variant correlation analysis. p < 0.05 was considered statistically significant.

Results and Discussion

The contrast peak intensity, area under the curve in ovarian tumor

According to the surgical laparoscopic and ultrasound-guided biopsy result, the patients were divided into benign and malignant groups. The benign group (n=36, 58.1%) included serous papillary cystadenoma (n=6), serous papillary adenofibroma (n=4), endometriosis (n=5), mature teratoma (n=5 including 1 struma ovarii), fibrothecomatous tumor (n=9), steroid cell tumor (n=1), ovarian abscess (n=1), and corpus luteum cyst (n=5). The malignant group (n=26, 41.9%) included serous papillary carcinoma (n=14, 2 bilateral), endometrioid adenocarcinoma (n=2), clear cell carcinoma (n=2), fibrosarcoma (n=1), and metastatic carcinoma (n=7, 5 bilateral). The mean diameter of these masses was 4.4 ± 2.1cm (range 1.7 to 9.3cm), and 38.7% (24/62) of them were less than 3cm in diameter, and 50.0% (31/62) less than 5cm in diameter.

Our study showed that in benign tumors or tumor-like lesions, CEUS ring-like enhancement was seen in cystic wall and/or papillae of the ovarian cyst and abscess, while solid tumors or tumor-like lesions showed either internal scattered mild enhancement or branching regular moderate low enhancement. In malignant tumors, CEUS showed overall heterogeneous enhancement or dendritic, rapidly increased enhancement. CEUS parameters mainly included PI, AT, TTP and AUC. PI and AUC indicated enhancement intensity, AT and TTP were related to enhancement time. In this study, the CEUS parameters of both benign and malignant ovarian tumors and tumor-like lesions as well as the TIC were shown in Figures (1A-E, 2A-E) and Table 1. PI and AUC were significantly higher in malignant tumors than those in the benign group (p=0.001 and p=0.01, respectively), which suggested that malignant ovarian tumors were rich in blood perfusion.

 Table 1 

Comparison of TIC parameters between benign and malignant tumors (Int J Biol Sci inline graphic)

GroupCaseAT(s)TTP(s)PI (dB)AUC
benign3616.4 ± 4.027.6 ± 6.612.0 ± 6.88.8 ± 6.1
malignant2613.3 ± 4.822.2 ± 6.518.3 ± 5.717.1 ± 6.5
p-value0.0170.0060.0010.01

MVD and its relation with CEUS parameters in ovarian tumors

The MVD by immunohistochemical assessment was 43.1 ± 20.4 in the benign tumors or tumor-like lesions, significantly lower than 65.3 ± 22.3 in the malignant ones (p=0.002, Figures 1F & 2F). PI and AUC were positively correlated with MVD in both benign and malignant groups (r=0.595 and r =0.533; p = 0.001 and p = 0.003, respectively; Figures 3A-B). The MVD difference between benign and malignant tumors was correlated with vascular endothelial cell activity and angiogenesis-related features inside tumors [25]. We also found that vascular density changes were significantly different in benign and malignant groups. MVD was well correlated with tumor tissue blood perfusion in both groups, suggesting that the increased malignant tumors MVD can increase blood volume.

There were few limitations in our study. First, some benign ovarian tumors or tumor-like lesions with more blood vessels might show the same ultrasound characteristics as the malignant tumors. Second, although microvessels in both benign and malignant lesions were different, their number and distribution might overlap. In our study, one case of ovarian abscess and one corpus luteum cyst also showed a rapid enhancement and similar CEUS parameters as malignant tumors. This may be related to the increase of blood supply from increased inflammatory granulation tissue in the abscess wall, angiogenesis, and higher perfusion due to an increased estrogen level in the ovarian luteal phase. However, in the above cases, the circle enhancement was shown in the cystic wall, which was different from that in malignant tumors. The rapid enhancement was shown only in the cystic wall of the abscess and corpus luteum cyst, not in solid-like incomplete abscess liquefaction and cystic wall pseudopapillae of the corpus luteum cyst. In addition, the papillary enhancement pattern in one case of struma ovarii overlapped with malignant tumors, and one clear cell carcinoma overlapped with benign tumors. More studies are needed to investigate its contrast-enhanced ultrasonic characteristics in these lesions. Nonetheless, ovarian cancer is usually accompanied by metastasis in omentum, peritoneum and lymph node et al. which are helpful features for differentiating them from benign lesions. Finally, the contrast-enhanced imaging parameters of benign and malignant ovarian lesions seldom partially overlapped. Therefore, proper diagnosis should be based on the comprehensive clinical data analysis, conventional sonographic features and enhanced ultrasound imaging.

In summary, PI and AUC on CEUS can be applied to evaluate vessels in ovarian tumors or tumor-like lesions and can provide noninvasive parameters for clinical evaluation of tumor vascularity.

 Figure 1 

The CEUS and MVD of a thecoma of the ovary. (A) Two-dimensional transvaginal ultrasound showed a heterogeneous hypoechoic mass (3.9 cm × 3.7 cm × 2.7 cm) in the left ovary. (B) Little scattered blood flow signal could be seen in CDFI. (C) CEUS showed slightly scattered enhancement within the ovarian tumor, earlier than surrounding ovarian tissue, the peak intensity of 11.88 dB, lower than 18.39 dB of the surrounding ovarian tissue. (Arrows indicate the mass and the boundaries of the ovary). (D)A region of interest (ROI) was taken from the mass and ovary respectively. (White ROI 1: the region of interest within the mass, blue ROI 2: region of interest within the ovarian tissue), drawing TIC (white and blue curves represent the TIC of the mass and ovary). (E)TIC showed AT 21.97 seconds, TTP 32.63 seconds, PI 11.88 dB, AUC 10.60, ROI 2 for the ovarian tissue: AT 24.20 seconds, TTP 40.41 seconds, PI 18.39 dB. AUC 18.04. (F) MVD (CD34 immunohistochemical staining, magnification 200×), scarce interstitial microvessels.

Int J Biol Sci Image (Click on the image to enlarge.)
 Figure 2 

The CEUS and MVD of a poorly -differentiated serous adenocarcinoma of the ovary. (A) Two-dimensional transvaginal ultrasound showed a hypoechoic mass (4.9 cm × 3.0 cm × 3.3 cm) in the left adnexa with a clear boundary and heterogeneous echo. (B) Abundant blood flow signals can be seen in CDFI. (C) After 11.8 seconds of contrast agent injection, a rapid high enhancement can be seen. (D) A region of interest (ROI) within the tumor was taken to draw a TIC (white curve represents the tumor TIC). (E) The tumor TIC showed that AT was 11.8 seconds, TTP 18.41 seconds, PI is 26.64 dB, AUC 25.95. (F) MVD showed significantly increased interstitial microvessels (CD34, immunohistochemical staining, magnification 200×).

Int J Biol Sci Image (Click on the image to enlarge.)
 Figures 3 

Correlation of MVD and TIC parameters in ovarian tumors. (A) MVD was positively correlated with PI, and (B) MVD was positively correlated with AUC.

Int J Biol Sci Image (Click on the image to enlarge.)

Acknowledgements

This study was supported by Eleventh Five-Year-Plan Military Projects (06MB293) and Military Specialized Projects Fund (06A).

Conflict of Interests

The authors have declared that no conflict of interest exists.

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Author contact

Corresponding address Corresponding author: Aijun Liu, liuajcom.cn


Received 2010-9-1
Accepted 2011-5-6
Published 2011-5-13