The Role of Ultrasonic Score, Blood Vessels and Vascular Resistance Index in Diagnosing Ovarian Tumors_West China Medical Journal

Authors：

 WANGLi ¹ , RENYan-lin ² , LIUXiang-yu ³ , YANGChun-fang ⁴

1. Department of Obstetrics and Gynecology, Service Station of the Population and Family Planning Bureau of Zhuolu County, Zhuolu, Hebei 075600, P. R. China;
2. Department of Obstetrics and Gynecology, the First Hospital Affliated to Hebei North College of Zhangjiakou City, Zhangjiakou, Hebei 075061, P. R. China;
3. Department of Ultrasound, the First Hospital Affliated to Hebei North College of Zhangjiakou City, Zhangjiakou, Hebei 075061, P. R. China;
4. Department of Obstetrics and Gynecology, Service Station of The Population and Family Planning Bureau of Wanquan County, Wanquan, Hebei 076250, P. R. China;

Corresponding author：

Keywords：

Ovarian tumors; Ultrasonic score; Vascular index; Vascular resistance index; Diagnosis

DOI：

10.7507/1002-0179.20150360

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Objective To explore the value of ultrasonic score, blood vessels and vascular resistance index in predicting and diagnosing benign and malignant ovarian tumor. Methods A total of 157 patients with ovarian tumors (77 benign and 80 malignant) aged from 19 to 68 years old (average 56 years) between January 2008 and June 2012 were enrolled in the research. The ultrasonic score, blood vessels and vascular resistance index were recorded, and the differences between benign and malignant tumor were compared according to the pathological diagnosis; Their sensitivities and specificities were analyzed with the preoperative prediction. Results In benign ovarian tumor, ultrasound scores and blood vessels index were obviously lower than that in the malignant tumor (P<0.05); the vascular resistance index was much higher than that in the malignant tumor (P<0.05). The sensitivities and specificities in diagnosing malignant tumor were high when the ultrasonic score was ≥ 2, vascular index was>0.02/cm³, and blood flow resistance index was ≤ 0.6. The sensitivities were 92.5%, 90.0%, 87.5%, respectively; while the specificities were 90.9%, 89.6%, 84.4%, respectively. Conclusion Ultrasonic score, blood vessels and vascular resistance index have significance for identifying benign and malignant ovarian tumors; ultrasonic score is more accurate which has high value of clinical application and popularization.

Citation： WANGLi, RENYan-lin, LIUXiang-yu, YANGChun-fang. The Role of Ultrasonic Score, Blood Vessels and Vascular Resistance Index in Diagnosing Ovarian Tumors. West China Medical Journal, 2015, 30(7): 1255-1259. doi: 10.7507/1002-0179.20150360 Copy

1.	彭涛, 张宏春. 超声检测烟雾病对颈内动脉颅外段血流动力学的影响[J]. 中国脑血管病杂志, 2015, 12(1):27-31.
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3.	牛建梅, 张娟, 孙立群, 等. 卵巢肿瘤超声造影定量参数与微血管密度的相关性研究[J].临床超声医学杂志, 2013, 15(6):384-387.
4.	Osaki M, Takeshita F, Sugimoto Y, et al. MicroRNA-143 regulates human osteosarcoma metastasis by regulating matrix metalloprotease-13 expression[J]. Mol Ther, 2011, 19(6):1123-1130.
5.	王军燕, 刘爱军, 崔秋丽, 等. 卵巢肿瘤超声造影与微血管密度的相关性研究[J]. 中华医学超声杂志:电子版, 2011, 8(1):103-110.
6.	Subbaramaiah K, Howe LR, Bhardwaj P, et al. Obesity is associated with inflammation and elevated aromatase expression in the mouse mammary gland[J]. Cancer Prev Res (Phila), 2011, 4(3):329-346.
7.	Pan D, Pramanik M, Senpan A, et al. Molecular photoacoustic imaging of angiogenesis with integrin-targeted gold nanobeacons[J]. FASEB J, 2011, 25(3):875-882.
8.	Winer I, Wang S, Lee YE, et al. F3-targeted cisplatin-hydrogel nanoparticles as an effective therapeutic that targets both murine and human ovarian tumor endothelial cells in vivo[J]. Cancer Res, 2010, 70(21):8674-8683.
9.	Barua A, Bitterman P, Bahr JM, et al. Detection of tumorassociated neoangiogenesis by Doppler ultrasonography during early-stage ovarian cancer in laying hens:a preclinical model of human spontaneous ovarian cancer[J]. J Ultrasound Med, 2010, 29(2):173-182.
10.	Sobiczewski P, Dańska-Bidzińska A, Rzepka J, et al. Evaluation of selected ultrasonographic parameters and marker levels in the preoperative differentiation of borderline ovarian tumors and ovarian cancers[J]. Arch Gynecol Obstet, 2012, 286(6):1513-1519.
11.	Mascilini F, Moruzzi C, Giansiracusa C, et al. Imaging in gynecological disease. 10:Clinical and ultrasound characteristics of decidualized endometriomas surgically removed during pregnancy[J]. Ultrasound Obstet Gynecol, 2014, 44(3):354-360.
12.	Shah D, Shah S, Parikh J, et al. Doppler ultrasound:a good and reliable predictor of ovarian malignancy[J]. J Obstet Gynaecol India, 2013, 63(3):186-189.
13.	Zannoni L, Savelli L, Jokubkiene L, et al. Intra-and interobserver agreement with regard to describing adnexal masses using international ovarian tumor analysis terminology:reproducibility study involving seven observers[J]. Ultrasound Obstet Gynecol, 2014, 44(1):100-108.
14.	刘芳. 应用Logistic回归模型评价超声在鉴别卵巢肿瘤良恶性中的价值[J]. 现代肿瘤医学, 2015, 23(2):264-266.
15.	张丹, 柳英兰, 刘学宁. 超声评分系统结合血清附睾分泌蛋白4、CA125对卵巢肿瘤的诊断意义[J]. 2014, 25(12):1242-1244.

1. 彭涛, 张宏春. 超声检测烟雾病对颈内动脉颅外段血流动力学的影响[J]. 中国脑血管病杂志, 2015, 12(1):27-31.
2. Barua A, Bitterman P, Bahr JM, et al. Contrast-enhanced sonography depicts spontaneous ovarian cancer at early stages in a preclinical animal model[J]. J Ultrasound Med, 2011, 30(3):333-345.
3. 牛建梅, 张娟, 孙立群, 等. 卵巢肿瘤超声造影定量参数与微血管密度的相关性研究[J].临床超声医学杂志, 2013, 15(6):384-387.
4. Osaki M, Takeshita F, Sugimoto Y, et al. MicroRNA-143 regulates human osteosarcoma metastasis by regulating matrix metalloprotease-13 expression[J]. Mol Ther, 2011, 19(6):1123-1130.
5. 王军燕, 刘爱军, 崔秋丽, 等. 卵巢肿瘤超声造影与微血管密度的相关性研究[J]. 中华医学超声杂志:电子版, 2011, 8(1):103-110.
6. Subbaramaiah K, Howe LR, Bhardwaj P, et al. Obesity is associated with inflammation and elevated aromatase expression in the mouse mammary gland[J]. Cancer Prev Res (Phila), 2011, 4(3):329-346.
7. Pan D, Pramanik M, Senpan A, et al. Molecular photoacoustic imaging of angiogenesis with integrin-targeted gold nanobeacons[J]. FASEB J, 2011, 25(3):875-882.
8. Winer I, Wang S, Lee YE, et al. F3-targeted cisplatin-hydrogel nanoparticles as an effective therapeutic that targets both murine and human ovarian tumor endothelial cells in vivo[J]. Cancer Res, 2010, 70(21):8674-8683.
9. Barua A, Bitterman P, Bahr JM, et al. Detection of tumorassociated neoangiogenesis by Doppler ultrasonography during early-stage ovarian cancer in laying hens:a preclinical model of human spontaneous ovarian cancer[J]. J Ultrasound Med, 2010, 29(2):173-182.
10. Sobiczewski P, Dańska-Bidzińska A, Rzepka J, et al. Evaluation of selected ultrasonographic parameters and marker levels in the preoperative differentiation of borderline ovarian tumors and ovarian cancers[J]. Arch Gynecol Obstet, 2012, 286(6):1513-1519.
11. Mascilini F, Moruzzi C, Giansiracusa C, et al. Imaging in gynecological disease. 10:Clinical and ultrasound characteristics of decidualized endometriomas surgically removed during pregnancy[J]. Ultrasound Obstet Gynecol, 2014, 44(3):354-360.
12. Shah D, Shah S, Parikh J, et al. Doppler ultrasound:a good and reliable predictor of ovarian malignancy[J]. J Obstet Gynaecol India, 2013, 63(3):186-189.
13. Zannoni L, Savelli L, Jokubkiene L, et al. Intra-and interobserver agreement with regard to describing adnexal masses using international ovarian tumor analysis terminology:reproducibility study involving seven observers[J]. Ultrasound Obstet Gynecol, 2014, 44(1):100-108.
14. 刘芳. 应用Logistic回归模型评价超声在鉴别卵巢肿瘤良恶性中的价值[J]. 现代肿瘤医学, 2015, 23(2):264-266.
15. 张丹, 柳英兰, 刘学宁. 超声评分系统结合血清附睾分泌蛋白4、CA125对卵巢肿瘤的诊断意义[J]. 2014, 25(12):1242-1244.

West China Medical Journal

The Role of Ultrasonic Score, Blood Vessels and Vascular Resistance Index in Diagnosing Ovarian Tumors

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