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!



