Gynecologic imaging reporting and data system combined with three-dimensional contrast-enhanced ultrasonography for differential diagnosis of benign and malignant ovarian masses
10.13929/j.1003-3289.201707099
- VernacularTitle: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
- Author:
Xiali WANG
1
;
Shuping YANG
;
Guorong LYU
;
Jianmei LIAO
;
Weina ZHANG
;
Shufen WU
Author Information
1. 福建医科大学附属漳州市医院超声医学科
- Keywords:
Ovarian neoplasms;
Ultrasonography;
Imaging,three-dimensional;
Gynecologic imaging reporting and data system
- From:
Chinese Journal of Medical Imaging Technology
2018;34(6):888-892
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the efficacy of the combination of gynecologic imaging reporting and data system (GI-RADS) uhrasonographic 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.
