尾本 きよか¹, 伊東 紘一¹, 程 相勇², 王 怡¹, 谷口 信行¹, 秋山 いわき³, 大塚 紳⁴, 水沼 洋文⁴, 小倉 重人⁴, 金澤 暁太郎⁴

Kiyoka OMOTO¹, Kouichi ITOH¹, Xiangyong CHENG², Yi WANG¹, Nobuyuki TANIGUCHI¹, Iwaki AKIYAMA³, Shin OTSUKA⁴, Hirobumi MIZUNUMA⁴, Shigeto OGURA⁴, Kyotaro KANAZAWA⁴

¹自治医科大学臨床病理学, ²三谷産業株式会社, ³湘南工科大学電気工学科, ⁴自治医科大学外科

¹Department of Clinical Pathology, Jichi Medical School, ²Mitani Sangyo Co., Ltd., ³Department of Electrical Engineering, Shonan Institute of Technology, ⁴Department of Surgery, Jichi Medical School

キーワード : Automated breast cancer diagnosis system (ABCD system), Breast tumor, Computer-aided diagnosis (CAD), Multivariate logistic regression analysis, Three-dimensional ultrasonic imaging

We are developing a new method of breast cancer screening that we call our Automated Breast Cancer Diagnosis (ABCD). This system uses computerized three-dimensional (3D) imaging techniques and statistical analysis to base diagnosis on data obtained from ultrasound images. Here we use this system to investigate ten parameters and their effectiveness and to show their effectiveness in determining the malignancy of tumors. Twenty-nine benign tumors and 32 malignant tumors were studied. The benign tumors compried 8 cysts and 21 fibroadenomas; the malignant tumors were 23 ductal carcinomas, 2 special carcinomas, 1 malignant lymphoma, and 6 other types of lesions. The procedure requires the simultaneous acquisition of both the ultrasonic image data and the position and orientation of the probe for each slice. This data is transferred to a computer, where the tumor surface is determined using fuzzy reasoning and relaxation techniques. The extracted tumor image is then rendered in 3D, allowing interactive manipulation and observation. A significant distinction between benign (0.57±0.25, 2.08±0.12, 0.76± 0.25) and malignant tumors (0.78±0.33, 2.22±0.16, 0.58±0.29) was obtained for all three parameters (Sz/Sxy, M-D, and Vei/V). A malignancy probability expression is calculated using multivariate logistic regression analysis in combination with the five parameters (Sz/Sxy, M-D, Vei/V, 3D-D/W, and S/V_index). Good results were obtained when this expression was applied to three benign and two malignant tumors additional tumors.