Key result
In TAVI patients, combining quantitative CTA with coronary artery calcium scoring maintained 100% sensitivity and allowed obstructive CAD to be ruled out in 20% of patients, compared to 8% with CTA alone.
Why the study?
CTA is a cornerstone in pre-TAVI assessment, but the diagnostic performance of CTA and CACS for CAD evaluation compared to invasive coronary angiography needed evaluation.
Does a combined approach of CTA and CACS accurately rule out obstructive coronary artery disease compared to invasive coronary angiography in patients undergoing TAVI?
Observational (n=100)
Blinded readers
No
Does a combined approach of CTA and CACS accurately rule out obstructive coronary artery disease compared to invasive coronary angiography in patients undergoing TAVI?
Effect estimate: Accuracy 38% (95% CI 28.5-48.3)
Adding CACS to pre-TAVI CTA in patients with poor image quality safely rules out obstructive CAD in 20% of patients, potentially reducing the need for routine invasive coronary angiography.
BACKGROUND: Computed tomography angiography (CTA) is a cornerstone in the pre- transcatheter aortic valve replacement (TAVI) assessment. We evaluated the diagnostic performance of CTA and coronary artery calcium score (CACS) for CAD evaluation compared to invasive coronary angiography in a cohort of TAVI patients. METHODS: In consecutive TAVI patients without prior coronary revascularization and device implants, CAD was assessment by quantitative analysis in CTA. (a) Patients with non-evaluable segments were classified as obstructive CAD. (b) In patients with non-evaluable segments a CACS cut-off of 100 was applied for obstructive CAD. The reference standard was quantitative invasive coronary angiography (QCA, i.e. ≥ 50% stenosis). RESULTS: 100 consecutive patients were retrospectively included, age was 82.3 ± 6.5 years and 30% of patients had CAD. In 16% of the patients, adequate visualization of the entire coronary tree (all 16 segments) was possible with CTA, while 84% had at least one segment which was not evaluable for CAD analysis due to impaired image quality. On a per-patient analysis, where patients with low image quality were classified as CAD, CTA showed a sensitivity of 100% (95% CI 88.4-100.0), specificity of 11.4% (95% CI 5.1-21.3), PPV of 32.6% (95% CI 30.8-34.5), NPV of 100% and diagnostic accuracy of 38% (95% CI 28.5-48.3) for obstructive CAD. When applying a combined approach of CTA (in patients with good image quality) and CACS (in patients with low image quality), the sensitivity and NPV remained at 100% and obstructive CAD could be ruled out in 20% of the TAVI patients, versus 8% using CTA alone. CONCLUSION: In routinely acquired pre-TAVI CTA, the image quality was insufficient in a high proportion of patients for the assessment of the entire coronary artery tree. However, when adding CACS in patients with low image quality to quantitative CTA assessment in patients with good image quality, obstructive CAD could be ruled-out in 1/5 of the patients and may therefore constitute a strategy to streamline pre-procedural workup, and reduce risk, radiation and costs in selected TAVI patients without prior coronary revascularization or device implants.
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Malebranche et al. (2022) conducted an observational in Severe symptomatic aortic stenosis (n=100). Quantitative computed tomography angiography (CTA) and coronary artery calcium score (CACS) vs. Quantitative invasive coronary angiography (QCA) was evaluated on Diagnostic accuracy of CTA for obstructive CAD (per-patient analysis, non-evaluable segments classified as CAD) (Accuracy 38%, 95% CI 28.5-48.3). In TAVI patients, combining quantitative CTA with coronary artery calcium scoring maintained 100% sensitivity and allowed obstructive CAD to be ruled out in 20% of patients, compared to 8% with CTA alone.
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