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首页> 外文期刊>Journal of Clinical Microbiology >Automated interpretation of disk diffusion antibiotic susceptibility tests with the radial profile analysis algorithm.
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Automated interpretation of disk diffusion antibiotic susceptibility tests with the radial profile analysis algorithm.

机译:使用径向轮廓分析算法自动解释椎间盘扩散抗生素敏感性试验。

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An original algorithm referred to as the radial profile analysis algorithm was implemented on a Macintosh Quadra 700 computer to provide an automatic determination of the inhibition zone diameters of antibiotic susceptibility tests performed with the disk diffusion method. After digitization of the petri plate image, each antibiotic disk is recognized and labeled. Pixels of the local zone around each disk are then used for generating a profile pattern that is subjected to decision rules. The resulting estimate of the inhibition zone diameter is then automatically compared with conventional breakpoints for classifying the tested strain in one of the clinical categories of antibiotic susceptibility. The program is also able to request a human reading for some rare plates difficult to interpret. The algorithm accuracy was tested by comparing the results with a combination of independent human measurements performed on the tested plates. The test sample was composed of 98 strains, and 2,552 tests of 40 distinct antibiotics were subjected to the analysis. The difference between the automatic and human diameter estimates was less than 4 mm in 90% of the tests. The agreement between the automatic and human clinical categorizations amounted to 95.5%, and severe (major and very major) disagreements were found in 5.6% of the tests performed with staphylococci but only 0.3% of the tests with gram-negative rods. We conclude that the radial profile analysis algorithm is a solid backbone for an automatic system dedicated to the clinical interpretation of disk diffusion antibiotic susceptibility tests.
机译:在Macintosh Quadra 700计算机上实施了称为径向轮廓分析算法的原始算法,以自动确定使用磁盘扩散法进行的抗生素敏感性试验的抑制区直径。在培养皿图像数字化后,识别并标记每个抗生素盘。然后,将每个磁盘周围的局部区域的像素用于生成受决策规则约束的配置文件模式。然后将所得的抑制区直径估计值自动与常规断点进行比较,以将测试菌株归类为抗生素敏感性的临床类别之一。该程序还可以要求人工读取一些难于解释的稀有板块。通过将结果与在测试板上进行的独立人工测量的结果进行比较来测试算法的准确性。测试样品由98个菌株组成,对40种不同抗生素的2,552个测试进行了分析。在90%的测试中,自动和人体直径估计之间的差异小于4毫米。自动分类和人类临床分类之间的一致性达到95.5%,在葡萄球菌进行的测试中有5.6%发现了严重(重大和非常重大)分歧,而在革兰氏阴性杆菌中则只有0.3%。我们得出结论,径向轮廓分析算法是致力于磁盘扩散抗生素敏感性试验临床解释的自动系统的坚实基础。

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