05. Example Clinical Scenario

In this video, we’ll cover how the information from imaging studies is incorporated into the clinical decision-making process, and ultimately influences the course of a patient’s treatment. We’ll do so by going over three example clinical scenarios, and introducing the concept of the likelihood ratio.

QUIZ QUESTION::

Match the diagnostic performance metric with its correct definition.

ANSWER CHOICES:

Likelihood Ratio

Dice

Specificity

Accuracy

Sensitivity

Definition	Metric
A diagnostic performance metric used to determine whether a test result usefully changes the probability that a condition/disease is present.
The probability of a test being positive, given that a patient has the underlying disease/condition.
The probability of a test being negative, given that a patient does not have the underlying disease/condition.

SOLUTION:

Definition	Metric
A diagnostic performance metric used to determine whether a test result usefully changes the probability that a condition/disease is present.	Likelihood Ratio
The probability of a test being negative, given that a patient does not have the underlying disease/condition.	Specificity
The probability of a test being positive, given that a patient has the underlying disease/condition.	Sensitivity

Good work, you’ve started to integrate the information from all the prior videos while exploring some example clinical cases, and have seen how imaging can influence clinical-decision making. You’ve also been introduced to the likelihood ratio, a crucial diagnostic performance metric used to determine whether a test result usefully changes the probability that a condition/disease is present. Next up, you’ll further practice integrating this information in the given exercise.