Clinical decision
making

Let’s examine two scenarios that exhibit a strong multifactor influence:

Impact of Individual Patient Factors on Decision to Place a Stent

Male, 57 years old

BMI* = 34, experiencing dibetes & hypertension.

Patient has only 45% LAD stenosis with a low CAD RADS score of 2 - low risk.

Typical AI models trained on CT data will likely predict NO ISCHEMIA. However, Coronary Flow software & invasive FFR demonstrate presence of ischemia with FFR = 0,78.

Conclusion:

This patient must be stented

Male, 64 years old

BMI* = 24 & no any comorbidities*, besides tobacco abuse, has a very substantial stenosis of 60% in RCA with CAD-RADS score of 3 - high risk.

Typical AI models will most likely predict ISCHEMIA in this scenario. However, Coronary Flow software & invasive FFR demonstrate that there is NO ischemia with FFR = 0,91.

 

Conclusion: This patient has no need to be stented!