超声三维自动检测系统在乳腺肿瘤鉴别诊断中的应用

目的 探讨三维自动检测系统对乳腺良恶性肿瘤鉴别诊断的价值。方法 乳腺良性肿块16例，恶性肿块20例。所有病例均经术后病理确诊。使用Aloka—SSD650超声诊断仪，配备10MHz线阵探头；该系统由固定于探头上的电磁传感器将探头移动时切面位置以及切面方向的信号输入计算机，同时应用模糊数学理论对超声图像中肿瘤、正常组织以及边界，最后将肿瘤进行三维重建。结果 肿块表面光滑度、肿块表面积与体积的比值(S／V)在良、恶性肿瘤间差异有显著性意义。结论 超声图像三维重建在鉴别良恶性乳腺肿块方面有一定的价值。

Evaluation of automated detection system of three-dimensional ultrasonography in differentiation of breast tumors

Objective To evaluated a new automate ultra sonographic system for detecting benign and malignant breast tumors in three-dimensions.Methods A magnetic sensor to track the probe in a real time during scanning and a series of sequential cross-sectional images,together with information giving precise location and the direction of movement of the probe,were fed into the computer.Fuzzy logic was used to classify tumor, boundary, and normal breast tissue in order to extract an image of the tumor and its margin through three-dimensional (3D) transformation. Results The difference between the surface roughness of benign and malignant tumors was found by comparing their computer -rendered surface images.The values of the S/V ratio of surface area (S 3) divided by volume (V 2) of malignant tumors were larger than those of benign tumors. Mean ratio was 3.43 in benign tumors, 9.08 in malignant tumors.T-test results showed these differences between benign and malignant tumors to be significant(P< 0.000 1 ). Conclusions It is valuable of using 3D transformation to identify benign and malignant breast tumors.