CardiacAI / InformaticsResearch

CT-FFR ≤0.80 Independently Predicts Post-AVR Adverse Cardiac Events in Severe Aortic Stenosis

Radiology AI literature (PubMed)3d ago

In severe AS patients undergoing TAVR/SAVR, CT-FFR ≤0.80 tripled composite endpoint risk (HR 3.83, 95% CI 2.04–7.20) and quadrupled MACE risk (HR 4.84). CT-FFR improved reclassification (NRI 0.346) over clinical+CCTA models, while CCTA alone added little. Retrospective, single-c…

  • Retrospective cohort of 329 patients (mean age 61) with severe AS undergoing TAVR or SAVR; median follow-up 17 months.
  • Adding CT-FFR to clinical models raised the C-index for MACE to 0.74 and yielded significant net reclassification improvement (NRI 0.346, p<0.001); anatomic CCTA provided minimal incremental value.
  • Single-center retrospective design, limited follow-up, and lack of independent association with all-cause mortality (p=0.071) restrict generalizability.
Read the source

RadPigeon summaries are original and for information only. They are not clinical advice.