Key result
FEops CT-based 3D modeling linked to ~51% higher LAAO sizing concordance vs standard care.
Why the study?
Standard of care assessment based on CT and/or transesophageal echocardiography is suboptimal for preprocedural evaluation for LAAO, prompting evaluation of the decisional impact of CT-based 3D computational modeling using FEops HEARTguide.
Does CT-based 3D computational modeling improve device size selection concordance and procedural confidence in patients undergoing LAAO?
Observational (n=102)
Yes
Does CT-based 3D computational modeling improve device size selection concordance and procedural confidence in patients undergoing LAAO?
CT-based 3D computational modeling significantly improves device size selection accuracy and procedural confidence for LAAO compared to standard imaging.
BACKGROUND: Standard of care (SoC) assessment based on computed tomography (CT) and/or transesophageal echocardiography is suboptimal for adequate preprocedural evaluation for left atrial appendage occlusion (LAAO). This can be improved through CT-based 3D computational modeling of the LAA-device interaction using FEops HEARTguide. This study aims to assess the decisional impact of FEops in preprocedural planning for LAAO. METHODS: The PRECISE LAAO is a prospective multi-center self-controlled study evaluating the use of FEops in LAAO with Amulet. Preprocedural device size selection and degree of certainty (scale 0-10) were registered before (Decision SoC) and after accessing FEops (Decision FEops), followed by device implantation. Concordance was compared between the Decisions and the final implanted device. After the procedure, clinicians rated the subjective value of FEops on a scale from -3 (futile) to +3 (most helpful). RESULTS: One hundred two patients were included. Decision SoC was concordant with the implanted device in 61 patients (59.8%), whereas Decision FEops was concordant in 92 (90.2%, p < 0.0001). FEops induced a size change in 35 patients, which was correct in 33 (32.4%). Certainty SoC was 6.7 ± 1.3 and increased after FEops assessment to 7.6 ± 1.3 (p < 0.0001). In the 33 patients with FEops-induced positive corrections, Certainty SoC was lower (6.2 ± 1.5, suggesting a more complex procedure) and increased to 7.2 ± 1.2 with FEops (p = 0.004). Clinicians rated FEops as helpful (subjective score ≥ 1) in 90.2% of cases. CONCLUSIONS: CT-based computational modeling using FEops has a positive decisional impact in LAAO, inducing a change in Amulet size selection in almost one out of three patients and increasing procedural confidence. Trials Trial Registration: NCT04640051.
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Cock et al. (2025) conducted an observational in Left atrial appendage occlusion (LAAO) (n=102). CT-based 3D computational modeling (FEops HEARTguide) vs. Standard of care (SoC) assessment was evaluated on Concordance between preprocedural device size selection and the final implanted device (p=<0.0001). CT-based 3D computational modeling using FEops significantly improved concordance with the final implanted LAAO device compared to standard of care (90.2% vs 59.8%, p<0.0001).
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