Sensitivity and specificity of multiple tests
Sensitivity and specificity of multiple tests is a common statistical problem in radiology because frequently two tests (A and B) with different sensitivities and specificities are combined to diagnose a particular disease or condition.
These two tests can be interpreted in an "and" or an "or" manner.
They can also be performed in two ways:
- parallel: studies are performed at the same time or at approximately the same time
- serial: studies are performed sequentially, with the second study dependent on the results of the first
Parallel testing
- A "and" B
- if both tests are positive, then the disease or condition is present
- sensitivity: (A)sen x (B)sen
- specificity: (A)spec + (B)spec - [(A)spec x (B)spec]
- A "or" B
- if either test is positive, then the disease or condition is present
- sensitivity: (A)sen + (B)sen - [(A)sen x (B)sen]
- specificity: (A)spec x (B)spec
When two studies are combined in an "or" manner:
- the overall sensitivity is greater than for either alone
- the overall specificity is less than for either alone
When two studies are combined in an "and" manner:
- the overall sensitivity is less than for either alone
- the overall specificity is greater than for either alone
Serial testing
Serial testing is more useful in some clinical scenarios to potentially eliminate the need for the second test.
- A "and" B
- sensitivity: (A)sen x (B)sen
- specificity: (A)spec + [1 - (A)spec] x (B)spec
- A "or" B
- sensitivity: (A)sen + [1 - (A)sen] x (B)sen
- specificity: (A)spec x (B)spec
For A "or" B, if A is positive, then the second test does not need to be performed. Sensitivity is higher than for either test alone.
For A "and" B, if A is negative, then the second test does not need to be performed. Specificity is higher than for either test alone.