Coronary disease & ACS

Development and Validation of a Quantitative Coronary CT Angiography Model for Diagnosis of Vessel-Specific Coronary Ischemia

JACC Cardiovasc ImagingPublished Diagnostic accuracy study

Authors' conclusion

This newly developed coronary CTA-based ischemia model using coronary atherosclerosis and vascular morphology characteristics accurately diagnoses coronary ischemia by invasive FFR and provides robust prognostic utility for MACE beyond presence of stenosis.

Study context

Population
Symptomatic patients with suspected stable CAD; reference standard invasive FFR ≤0.80
Comparison
AI-QCT ischemia model vs fractional flow reserve by CT (FFRCT), myocardial perfusion imaging (MPI)
Outcome
Diagnostic performance (per-patient AUC) for coronary ischemia (FFR ≤0.80)
Methodological detailspost hoc analysis of CREDENCE and PACIFIC-1
  • Post hoc analysis of CREDENCE and PACIFIC-1

Performance

As reported in the abstract

Per-patient AUC, CREDENCE validation (n = 305)
Test or modelAUC
AI-QCTISCHEMIA0.80 (95% CI: 0.75-0.85)
FFRCT0.69 (95% CI: 0.63-0.74; P < 0.001)
MPI0.65 (95% CI: 0.59-0.71; P < 0.001)

AUC

AI-QCTISCHEMIA0.80 (95% CI: 0.75-0.85)
FFRCT0.69 (95% CI: 0.63-0.74; P < 0.001)
MPI0.65 (95% CI: 0.59-0.71; P < 0.001)

Further findings

OutcomeaHR (95% CI)P value
MACE, positive AI-QCTISCHEMIA test (PACIFIC-1)Positive AI-QCTISCHEMIAvs Negative AI-QCTISCHEMIA7.6 (1.2–47.0)P = 0.030
OutcomeAI-QCTISCHEMIAFFRCTPETSPECT
Per-patient AUC, PACIFIC-1 (n = 208)P values vs AI-QCTISCHEMIA
AUC0.85 (95% CI: 0.79-0.91)0.78 (95% CI: 0.72-0.84; P = 0.037)0.89 (95% CI: 0.84-0.93; P = 0.262)0.72 (95% CI: 0.67-0.78; P < 0.001)
  • Major adverse cardiovascular events (MACE), positive AI-QCTISCHEMIA test (PACIFIC-1): adjusted for clinical risk factors and computed tomography angiography (CTA) obstructive stenosis

Original publication

Development and Validation of a Quantitative Coronary CT Angiography Model for Diagnosis of Vessel-Specific Coronary Ischemia. JACC Cardiovasc Imaging. Published 13 March 2024. doi:10.1016/j.jcmg.2024.01.007

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