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December 18, 2024Heart Rhythm21 citationsOpen Access

Novel cardiac CT method for identifying the atrioventricular conduction axis by anatomic landmarks

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JTJustin T. TretterFBFrancesco BedogniJRJosep Rodés-Cabau

Key Result

A standardized cardiac CT method for predicting the atrioventricular conduction axis location demonstrated excellent intraobserver and interobserver reproducibility (intraclass coefficients ≥0.78).

Study Design

Type

Observational (n=477)

Structured PICO

Does a standardized cardiac CT method reproducibly identify the atrioventricular conduction axis using anatomic landmarks in patients with acquired aortic valve disease?

P
Population
477 patients with acquired aortic valve disease
I
Intervention
Cardiac computed tomography using 3 standardized points (points A-C) to estimate the course of the atrioventricular conduction axis
O
Outcome
Reproducibility (intraobserver and interobserver variability) of predicting the location of the atrioventricular conduction axissurrogate

A standardized cardiac CT method using anatomic landmarks provides a highly reproducible, noninvasive means for estimating the location of the atrioventricular conduction axis.

Main Result

Effect estimate: ICC ≥0.78

Limitations

  • Needs validation in populations of patients requiring accurate identification of the atrioventricular components of the conduction axis

Abstract

BACKGROUND: Understanding the conduction axis location aids in avoiding iatrogenic damage and guiding targeted heart rhythm therapy. OBJECTIVE: Cardiac structures visible with clinical imaging have been demonstrated to correlate with variability in the conduction system course. We aimed to standardize and assess the reproducibility of predicting the location of the atrioventricular conduction axis by cardiac computed tomography. METHODS: We evaluated 477 patients with acquired aortic valve disease by cardiac computed tomography to assess variability in cardiac structures established to relate to the conduction system. We standardized 3 points (points A-C) to estimate the course from the atrioventricular node to the nonbranching bundle and left bundle branch origin and further compared this with measures of variability in the aortic root and membranous septum. RESULTS: The mean distances between the aortic valve virtual basal ring and points A, B, and C were 9.5 ± 3.5 (0.3-20.1) mm, 5.0 ± 2.6 (-1.7 to 15.9) mm, and 2.9 ± 2.5 (-5.2 to 12.0) mm, respectively. The midpoint of the membranous septum deviated posteriorly a median of -4.4 (interquartile range, -12.4 to +3.0) degrees relative to the commissure between the right coronary and noncoronary leaflets. Intraclass coefficients for both intraobserver and interobserver variability for all measured points were excellent (≥0.78). CONCLUSION: These findings further infer the intimate yet highly variable relationship between the conduction axis and aortic root. This reproducible and standardized approach needs validation in populations of patients requiring accurate identification of the atrioventricular components of the conduction axis, which may serve as a noninvasive means for estimating its location.

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Cite This Study

Tretter et al. (2024) conducted an observational in Acquired aortic valve disease (n=477). Cardiac computed tomography was evaluated on Intraobserver and interobserver variability for predicting the location of the atrioventricular conduction axis (ICC ≥0.78). A standardized cardiac CT method for predicting the atrioventricular conduction axis location demonstrated excellent intraobserver and interobserver reproducibility (intraclass coefficients ≥0.78).

synapsesocial.com/papers/6a154285b2e0231f15822dbfhttps://doi.org/10.1016/j.hrthm.2024.12.022
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