Sensitivity explained

Scientists and researchers use certain statistical measurements to determine the reliability of a diagnostic test. These are:

Sensitivity

What this means: Sensitivity of a diagnostic test quantifies its ability to correctly identify subjects with the disease condition. In our case, we are able to correctly idenfity in 95% (higher than cystoscopy) the presence of the cancer cells.

The BCA-1 Test has a high sensitivity (95% overall), which is similar to the gold standard - cystoscopy (around 90%).

We recommend to discuss your report with your doctor and always if you have symptoms.

Specificity

What this means: The specificity is the ability of a test to correctly identify subjects without the condition.

The BCA-1 Test has a high specificity which means that if the test report is high genomic activity, you should see your doctor.

Negative predictive value (NPV) is the probability that a subject/sample that returns a negative result really is negative. So when your test comes back negative, we are 98.6% sure that it is indeed negative.

 

BCA-1 Test overall sensitivity 95%
BCA-1 Test specificity 86%
BCA-1 Test negative predictive value 98.6%