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贝叶斯定理在通过放射性核素骨扫描诊断强直性脊柱炎中的应用。

Application of Bayes' theorem to the diagnosis of ankylosing spondylitis from radioisotope bone scans.

作者信息

Diffey B L, Pal B, Gibson C J, Clayton C B, Griffiths I D

出版信息

Ann Rheum Dis. 1985 Oct;44(10):667-70. doi: 10.1136/ard.44.10.667.

Abstract

The ratio of the uptake of radioactivity in each sacroiliac joint to the uptake in the sacrum has been measured in 57 patients with early ankylosing spondylitis and in 51 control subjects. The distribution of ratios of uptake obtained in each of these two groups shows appreciable overlap, and it is shown that the specification of a 'normal range' in this sort of situation can be misleading in the interpretation of the uptake ratio obtained in a given subject. An alternative approach described here is to use Bayes' theorem, which combines a probability based on the numerical value of the measured ratio with the pretest clinical impression about the likelihood of ankylosing spondylitis to yield a post-test probability of the presence of the disease.

摘要

在57例早期强直性脊柱炎患者和51例对照受试者中,测量了每个骶髂关节的放射性摄取与骶骨摄取的比值。这两组中每组获得的摄取比值分布显示出明显的重叠,并且表明在这种情况下指定“正常范围”在解释给定受试者获得的摄取比值时可能会产生误导。这里描述的另一种方法是使用贝叶斯定理,该定理将基于测量比值数值的概率与关于强直性脊柱炎可能性的测试前临床印象相结合,以得出疾病存在的测试后概率。

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