经直肠超声图像的计算机分析用于前列腺癌检测：对根治性前列腺切除术标本的前瞻性研究
Computer analysis of transrectal ultrasound images of the prostate for the detection of carcinoma: a prospective study in radical prostatectomy specimens.
作者信息
Giesen R J, Huynen A L, Aarnink R G, de la Rosette J J, vd Kaa C, Oosterhof G O, Debruyne F M, Wijkstra H
机构信息
Department of Urology, University Hospital Nijmegen, The Netherlands.
出版信息
J Urol. 1995 Oct;154(4):1397-400.
PURPOSE
The reliability and objectivity of computer assisted transrectal ultrasound are examined.
MATERIALS AND METHODS
Pathological examination of radical prostatectomy specimens was compared prospectively to automated cancer detection in corresponding transrectal ultrasound images.
RESULTS
For automated cancer detection, a sensitivity of 0.75 and a specificity of 0.78 were obtained. Moreover, 74% of human interpretation of the percentage of malignancy in the analyzed images was equal to the actual calculated percentage (Pearson's product moment correlation coefficient 0.85).
CONCLUSIONS
Comparing these results to those obtained with normal transrectal ultrasound, automated analysis provides additional information in the interpretation of transrectal ultrasound images by color coding them in an objective manner according to the probability of malignancy.
目的
研究计算机辅助经直肠超声检查的可靠性和客观性。
材料与方法
对前列腺癌根治术标本的病理检查结果与相应经直肠超声图像中的自动癌症检测结果进行前瞻性比较。
结果
自动癌症检测的灵敏度为0.75，特异度为0.78。此外，在分析图像中，74%的恶性肿瘤百分比的人工判读结果与实际计算百分比相等（Pearson积矩相关系数为0.85）。
结论
与常规经直肠超声检查结果相比，自动分析通过根据恶性概率对经直肠超声图像进行客观的颜色编码，在图像解读中提供了额外信息。
Zotero 插件