Abbas A M, Zahran K M, Nasr A, Kamel H S
Woman's Health Center, Assiut University, Assiut, Egypt.
Facts Views Vis Obgyn. 2014;6(2):68-74.
To determine the most discriminating two-dimensional gray-scale and colour Doppler sonographic features that allow differentiation between malignant and benign adnexal masses, and to develop a scoring model that would enable more accurate diagnosis with those features.
A cross sectional prospective study was conducted on patients scheduled for surgery due to presence of adnexal masses at Woman's Health Center, Assiut University, Egypt between October 2012 and October 2013. All patients were evaluated by 2D ultrasound for morphological features of the masses combined with colour Doppler examination of their vessels. The final diagnosis, based on histopathological analysis, was used as a gold standard.
One hundred forty-six patients were recruited, 104 with benign masses, 42 with malignant masses. Features that allowed statistically significant discrimination of benignity from malignancy were; volume of mass, type of mass, presence and thickness of septae, presence and length of papillary projections, location of vessels at colour Doppler and colour score. A scoring model was formulated combining these features together; Assiut Scoring Model (ASM). The cut-off level with the highest accuracy in detection of malignancy, was ≥6, had a sensitivity of 93.5% and specificity of 92.2%.
Our Scoring Model; a multiparameter scoring using four gray-scale ultrasound and two colour Doppler features, had shown a high sensitivity and specificity for prediction of malignancy in adnexal masses compared with previous scoring systems.
确定最具鉴别力的二维灰阶和彩色多普勒超声特征,以区分附件区良恶性肿块,并建立一个评分模型,能够利用这些特征进行更准确的诊断。
2012年10月至2013年10月期间,在埃及阿斯尤特大学妇女健康中心,对因附件区肿块而计划接受手术的患者进行了一项横断面前瞻性研究。所有患者均接受二维超声检查,以评估肿块的形态特征,并结合对其血管的彩色多普勒检查。基于组织病理学分析的最终诊断被用作金标准。
共招募了146例患者,其中104例为良性肿块,42例为恶性肿块。能够在统计学上显著区分良性和恶性的特征包括:肿块体积、肿块类型、隔膜的存在及厚度、乳头状突起的存在及长度、彩色多普勒检查时血管的位置以及彩色评分。将这些特征组合在一起制定了一个评分模型;阿斯尤特评分模型(ASM)。检测恶性肿瘤时准确率最高的临界值为≥6,灵敏度为93.5%,特异度为92.2%。
我们的评分模型;一种使用四个灰阶超声和两个彩色多普勒特征的多参数评分,与以前的评分系统相比,在预测附件区肿块的恶性肿瘤方面显示出高灵敏度和特异度。