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Updated: Feb 25, 2026

Standardized SDS-PAGE Workflow for Personalized Protein Corona Profiling in Early Cancer Detection
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PROMIS試験の診断精度

Simpa S Salami1, Arvin K George2, Jeffrey S Montgomery2

  • 1Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA.

Lancet (London, England)
|July 27, 2017
PubMed
まとめ

No abstract available in PubMed .

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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