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  2. Mantoux test - Wikipedia

    en.wikipedia.org/wiki/Mantoux_test

    This initial skin test, though negative, may stimulate (boost) the body's ability to react to tuberculin in future tests. Thus, a positive reaction to a subsequent test may be misinterpreted as a new infection, when in fact it is the result of the boosted reaction to an old infection. [22]

  3. File:Mantoux tuberculin skin test.jpg - Wikipedia

    en.wikipedia.org/wiki/File:Mantoux_tuberculin...

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  4. Diagnosis of tuberculosis - Wikipedia

    en.wikipedia.org/wiki/Diagnosis_of_tuberculosis

    A meta-analysis with 1,595 inpatients and outpatients showed 70% sensitivity and 90% specificity for TB diagnosis in people living with HIV for Fujifilm SILVAMP TB LAM. [40] As of 2020, the test showed a high positive predictive value (95.2%) in HIV-negative outpatients. [41] Large prospective studies are on the way. [42]

  5. Tuberculosis - Wikipedia

    en.wikipedia.org/wiki/Tuberculosis

    Those who have been previously immunized with the Bacille Calmette-Guerin vaccine may have a false-positive test result. [107] The test may be falsely negative in those with sarcoidosis, Hodgkin's lymphoma, malnutrition, and most notably, active tuberculosis. [13] Interferon gamma release assays, on a blood sample, are recommended in those who ...

  6. Heaf test - Wikipedia

    en.wikipedia.org/wiki/Heaf_test

    The equivalent Mantoux test positive levels done with 10 TU (0.1 mL 100 TU/mL, 1:1000) are 0–4 mm induration (Heaf 0-1) 5–14 mm induration (Heaf 2) >15 mm induration (Heaf 3-4) The Mantoux test is preferred in the United States for the diagnosis of tuberculosis; multiple puncture tests, such as the Heaf test and Tine test, are not recommended.

  7. Blood test could identify millions of people spreading ... - AOL

    www.aol.com/blood-test-could-identify-millions...

    TB kills more than one million people each year, according to the World Health Organisation. Blood test could identify millions of people spreading tuberculosis unknowingly Skip to main content

  8. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  9. What Really Causes a False Positive COVID-19 Test? Experts ...

    www.aol.com/false-positive-covid-19-test...

    In the most basic sense, there are four possible outcomes for a COVID-19 test, whether it’s molecular PCR or rapid antigen: true positive, true negative, false positive, and false negative.