Loughry C W, Sheffer D B, Hamor R H, Herron R E, Liebelt R A, Proietti-Orlandi F, Varga R S
Cancer Detect Prev. 1981;4(1-4):589-94.
Twelve female patients participated in a study designed to employ computer-assisted biostereometric analysis for the detection of breast masses. All breast masses were previously documented by physical examination and followed by xeromammography, stereophotography, and histopathologic confirmation of tumor type. "Contour mammograms" were produced from the biostereometric photographs. These data were analyzed first for tumor detection and location by visual inspection. A second analysis employed a computed algorithm designed to locate and measure surface aberrations that suggest the possibility of underlying breast tumor. Visual analysis yielded the exact location of breast tumors in eight of the ten malignancies; computer analysis exactly located nine of the ten malignancies. In the computer analysis, one malignancy not exactly located by quadrant was, nevertheless, located in the correct breast. The results of the study suggest that the biostereometric process may have future use in screening or prescreening procedures for breast cancer detection. It is noninvasive, applicable to large numbers of women and with suitable refinements, and capable of being fully automated.
12名女性患者参与了一项旨在采用计算机辅助生物立体测量分析来检测乳腺肿块的研究。所有乳腺肿块此前均已通过体格检查记录，随后进行干板乳腺摄影、立体摄影以及肿瘤类型的组织病理学确认。从生物立体测量照片中生成了“轮廓乳腺X线片”。首先通过目视检查对这些数据进行肿瘤检测和定位分析。第二次分析采用了一种计算算法，旨在定位和测量提示潜在乳腺肿瘤可能性的表面异常。目视分析得出了10例恶性肿瘤中8例的乳腺肿瘤确切位置；计算机分析精确地定位了10例恶性肿瘤中的9例。在计算机分析中，有1例恶性肿瘤虽未按象限精确定位，但仍位于正确的乳房中。该研究结果表明，生物立体测量过程可能在乳腺癌检测的筛查或预筛查程序中有未来用途。它是非侵入性的，适用于大量女性，经过适当改进后能够完全自动化。
