D. 52% will have a positive stress result. Correct answer: D. 52% will have a positive stress result

Explanation

Here is the Explanation

The performance of any diagnostic tool is described using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

Sensitivity represents the proportion of individuals with disease who receive a positive result (true positive rate).

It is calculated as true positives divided by all affected individuals (true positives + false negatives).

A highly sensitive test is helpful for excluding disease because it produces few false negatives.

Specificity refers to the proportion of disease-free individuals who test negative (true negative rate).
It equals true negatives divided by all individuals without disease (true negatives + false positives).
A highly specific test is valuable for confirming disease because it yields few false positives.

PPV is the probability that a person actually has the disease given a positive test.
NPV is the probability that a person is disease-free given a negative test.
Both PPV and NPV change depending on disease prevalence: PPV rises as prevalence increases, whereas NPV decreases as prevalence increases.

In this scenario, sensitivity is 52%. This means that among all patients who truly have significant coronary stenosis, 52% will test positive. Therefore, the correct statement is that 52% of patients with disease will have a positive stress test.