| 王霞丽,杨舒萍,吕国荣,廖建梅,张伟娜,吴淑芬.妇科超声影像报告和数据系统联合三维超声造影鉴别诊断卵巢良恶性肿块[J].中国医学影像技术,2018,34(6):888~892 |
| 妇科超声影像报告和数据系统联合三维超声造影鉴别诊断卵巢良恶性肿块 |
| Gynecologic imaging reporting and data system combined with three-dimensional contrast-enhanced ultrasonography for differential diagnosis of benign and malignant ovarian masses |
| 投稿时间：2017-07-21 修订日期：2018-03-15 |
| DOI：10.13929/j.1003-3289.201707099 |
| 中文关键词: 卵巢肿瘤 超声检查 成像,三维 妇科超声影像报告与数据系统 |
| 英文关键词:Ovarian neoplasms Ultrasonography Imaging, three-dimensional Gynecologic imaging reporting and data system |
| 基金项目:福建省自然科学基金项目（2016J01649）。 |
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| Objective To evaluate the efficacy of the combination of gynecologic imaging reporting and data system (GI-RADS) ultrasonographic stratification and 3D contrast-enhanced ultrasonography (3D-CEUS) in identifying malignant lesions from benign ovarian masses. Methods Both of 2D ultrasound (2D-US) and 3D-CEUS were performed on 102 patients with ovarian masses. The perfusion characteristics of ovarian masses were observed with 3D-CEUS,and the 2D-US features of ovarian masses were analyzed based on GI-RADS. Simple and multiple Logistic regression analysis were used to investigate whether the independent risk predictors in differential diagnosis of benign and malignant ovarian could be confirmed. In addition, ROC curves were drawn. The diagnostic efficacy of GI-RADS combined with 3D-CEUS scoring system was evaluated and compared with that of only GI-RADS. Results Simple and multiple Logistic regression analysis confirmed that there were 8 independent predictors of malignant masses, including large papillary projections (≥ 7 mm), separated or wall thickness ≥ 3 mm, central blood flow, the proportion of solid part ≥ 50%, combination of ascites, high level enhancement, uneven distribution of contrast media in enhanced solid part and the vascular with characteristics as dense, tortuous and anfractuous. When using 4 points as the cut-off, the area under the curve (AUC) of GI-RADS combined with 3D-CEUS scoring system in identifying malignant ovarian masses was 0.969, higher than that of only GI-RADS (0.839; Z=1.64, P=0.029). Furthermore, the scoring system showed higher sensitivity, specificity, positive predictive value, negative predictive value and accuracy (all P<0.001). Conclusion The combination of GI-RADS with 3D-CEUS can be more effective to distinguish malignant lesions from benign ovarian masses. |
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