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. 2020 May 13;59(1):41–49. doi: 10.1093/mmy/myaa028

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© The Author(s) 2020. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 4. — ROC Curves. Diagnostic performance evaluation included the determination of the sensitivity and specificity of correct sample categorization at the boundaries of adjacent categories: Negative to indeterminate and positive to indeterminate. The sensitivity and 1-specificity were calculated and plotted as shown above. In addition, the Youden index was calculated and used to determine the cutoffs. The ROC assessment method followed the guidance document: CLSI EP24-A2: Assessment of Diagnostic Accuracy of Laboratory Tests Using Receiver Operating Characteristic Curves Approved Guideline-Second Edition. The sensitivity and specificity for the discrimination of negatives and positives were 94% and 75%, respectively.