QA: Gold Standard

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Last updated 3:18 AM on 4/30/26
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17 Terms

1
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the main purpose of quality assurance is…

  • to assess how accurate is the diagnostic exam

  • allow for ultrasound results to be compared to a “gold standard” test

2
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what are examples of Gold Standard tests?

  • digitals subtraction angiography

  • computed tomogrpahy angiography with contrast (CTA)

  • magnetic resonance angiography (MRA)

  • surgical findings

  • clinical outcome

3
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what are the methods to assess efficacy?

sensitivity and specificity

how good is a test for detecting disease or how good is the test for ruling out disease?

4
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the ability of a test to find a disease when it is present, is called?

sensitivity

5
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the ability of a test to show there is no disease when there is no disease present, is called?

specificity

6
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methods to assess reliability are?

  • true positive

  • false positives

  • positive predictive value

  • true negative

  • false negative

  • negative predictive values

7
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portion of individuals with a positive test result that truly have the condition or disease is called?

PPV (positive predictive value)

8
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portion of individuals with a negative test result that truly do not have the condition or disease, is called?

negative predictive value (NPV)

9
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  • the portion of all individuals whose test results align with their condition.

  • the percentage of time the ultrasound results was correct

this indicates?

accuracy

10
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the portion or percentage of patients in the entire group, being assessed, to have the disease or condition

prevalence

11
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<p>label the red and orange </p>

label the red and orange

test and Gold standard

12
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how to calculate for sensitivity?

sensitivity = TP/ (TP + FN)

ability of a test to find a disease when it is present

13
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How to calculate for specificity?

Specificity = TN / (FP +TN)

ability of a test to show there is no disease when there is no disease present

14
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how to calculate for PPV?

PPV = TP / (TP + FP)

15
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how to calculate for NPV?

NPV = TN / (FN + TN)

16
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how to calculate for accuracy?

accuracy = TP + TN / (TP + FN + FP+ TN)

17
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how to calculate for prevalence?

prevalence = TP + FN (TP + FN + FP + TN)