Valvular & structural heart diseaseCohort study

Planimetry of Aortic Valve Area Using CTA: Cutoff Derivation for Stenotic Bicuspid and Tricuspid Valves

Circ Cardiovasc ImagingPublished

  • retrospective single-center analysis
  • computed tomography angiography data from 2013 to 2025
  • internally validated

Authors' conclusion

Direct planimetry of AVA is feasible and shows utility in low gradient-aortic stenosis. However, as the hemodynamic effect is impacted by valve shape, cutoff values should differentiate between tricuspid and bicuspid valves.

Study context

Population
Patients with aortic stenosis (tricuspid and bicuspid valves) with computed tomography angiography dataTTE-based conclusive severe or nonsevere patients (derivation) · derivation 1,294 · internal validation 480 · normal-flow low-gradient aortic stenosis cases 190
Participants
1,294 patients
Exposure
aAVA CTA against effective AVA by TTE; cutoffs compared with the Agatston score by net reclassification index

Main finding

As reported in the abstract

Correlation between aAVA CTA and effective AVA by TTE

tricuspid valves

0.67

Pearson r

bicuspid valves

0.78

Pearson r

Observational data: associations, not effects.

Further findings

Severe stenosis cutoffs, tricuspid valves

likely at aAVA CTA
≤0.95 cm²
sensitivity
87%
specificity
78.9%
unlikely at
≥1.10 cm²
negative likelihood ratio
0.092

Severe stenosis cutoffs, bicuspid valves

likely at aAVA CTA
≤1.08 cm²
sensitivity
88.3%
specificity
77.3%
unlikely at
≥1.20cm 2
negative likelihood ratio
0.091

Validation

Validation showed comparable results

Net reclassification index compared with the Agatston score

likely cutoffs
0.16
unlikely cutoffs
0.17
  • P <0.001

Reclassification to nonsevere in suspected severe low-gradient cases

reclassified to nonsevere
5.8%
  • 190 suspected severe low-gradient cases

Original publication

Planimetry of Aortic Valve Area Using CTA: Cutoff Derivation for Stenotic Bicuspid and Tricuspid Valves. Circ Cardiovasc Imaging. Published 22 January 2026. doi:10.1161/circimaging.125.018677

Summarised from the published abstract; every number is checked against it