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Three-dimensional ultrasound imaging for discrimination between benign and malignant endometrium in women with postmenopausal bleeding and sonographic endometrial thickness of at least 4.5 mm.

机译:三维超声成像用于区分绝经后出血和超声子宫内膜厚度至少4.5 mm的女性的良性和恶性子宫内膜。

摘要

OBJECTIVES: To determine whether endometrial volume or power Doppler indices as measured by three-dimensional (3D) ultrasound imaging can discriminate between benign and malignant endometrium, to compare their diagnostic performance with that of endometrial thickness measurement using two-dimensional (2D) ultrasound examination, and to determine whether power Doppler indices add any diagnostic information to endometrial thickness or volume. METHODS: Sixty-two patients with postmenopausal bleeding and endometrial thickness >/= 4.5 mm underwent transvaginal 2D gray-scale and 3D power Doppler ultrasound examination of the corpus uteri. The endometrial volume was calculated, along with the vascularization index (VI), flow index and vascularization flow index (VFI) in the endometrium and in a 2-mm 'shell' surrounding the endometrium. The 'gold standard' was the histological diagnosis of the endometrium obtained by hysteroscopic resection of focal lesions, dilatation and curettage or hysterectomy. Receiver-operating characteristics (ROC) curves were drawn for all measurements to evaluate their ability to distinguish between benign and malignant endometrium. Multivariate logistic regression analysis was used to create mathematical models to estimate the risk of endometrial malignancy. RESULTS: There were 49 benign and 13 malignant endometria. Endometrial thickness and volume were significantly larger in malignant than in benign endometria, and flow indices in the endometrium and endometrial shell were significantly higher. The area under the ROC curve (AUC) of endometrial thickness was 0.82, that of endometrial volume 0.78, and that of the two best power Doppler variables (VI and VFI in the endometrium) 0.82 and 0.82. The best logistic regression model for predicting malignancy contained the variables endometrial thickness (odds ratio 1.2; 95% CI, 1.04-1.30; P = 0.004) and VI in the endometrial 'shell' (odds ratio 1.1; 95% CI, 1.02-1.23; P = 0.01). Its AUC was 0.86. Using its mathematically optimal risk cut-off value (0.22), the model correctly classified seven more benign cases but two fewer malignant cases than the best endometrial thickness cut-off (11.8 mm). Models containing endometrial volume and flow indices performed less well than did endometrial thickness alone (AUC, 0.79 vs. 0.82). CONCLUSIONS: The diagnostic performance for discrimination between benign and malignant endometrium of 3D ultrasound imaging was not superior to that of endometrial thickness as measured by 2D ultrasound examination, and 3D power Doppler imaging added little to endometrial thickness or volume. Copyright (c) 2009 ISUOG. Published by John Wiley & Sons, Ltd.
机译:目的:确定通过三维(3D)超声成像测量的子宫内膜体积或功率多普勒指数能否区分良性和恶性子宫内膜,以将其诊断性能与使用二维(2D)超声检查进行子宫内膜厚度测量的诊断性能进行比较,并确定功率多普勒指数是否将任何诊断信息添加到子宫内膜厚度或体积。方法:对62例绝经后出血且子宫内膜厚度> / = 4.5 mm的患者进行经阴道2D灰度和3D功率多普勒超声检查子宫体。计算子宫内膜的体积,以及子宫内膜和子宫内膜周围2毫米“壳”内的血管化指数(VI),流量指数和血管化流动指数(VFI)。 “黄金标准”是通过宫腔镜切除局灶性病变,扩张刮除术或子宫切除术获得的子宫内膜的组织学诊断。绘制所有测量的接收者操作特征(ROC)曲线,以评估其区分良性和恶性子宫内膜的能力。多变量逻辑回归分析用于创建数学模型以评估子宫内膜恶性肿瘤的风险。结果:良性子宫内膜癌49例,恶性子宫内膜癌13例。恶性子宫内膜的厚度和体积明显大于良性子宫内膜,子宫内膜和子宫内膜外壳的流量指数明显更高。子宫内膜厚度的ROC曲线下面积(AUC)为0.82,子宫内膜体积为0.78,两个最佳功率多普勒变量(子宫内膜VI和VFI)的面积为0.82和0.82。预测恶性肿瘤的最佳逻辑回归模型包含变量子宫内膜厚度(比值1.2; 95%CI,1.04-1.30; P = 0.004)和子宫内膜“外壳”中的VI(比值1.1; 95%CI,1.02-1.23)。 ; P = 0.01)。其AUC为0.86。使用其数学上最佳的风险临界值(0.22),该模型正确分类的良性病例比最佳子宫内膜厚度临界值(11.8 mm)多了七个,而恶性病例却少了两个。包含子宫内膜体积和流量指数的模型比单独的子宫内膜厚度表现差(AUC,0.79对0.82)。结论:通过2D超声检查,对3D超声影像学对子宫内膜良恶性的诊断性能不及子宫内膜厚度,3D功率多普勒成像对子宫内膜的厚度或体积几乎没有影响。 ISUOG版权所有(c)2009。由John Wiley&Sons,Ltd.出版

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