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Updated: Jun 24, 2026
Remote Magnetic Navigation for Accurate, Real-time Catheter Positioning and Ablation in Cardiac Electrophysiology Procedures
Published on: April 21, 2013
Integration of 3D reconstruction in the SELection criteria for Excessive Crossing Times for Magnetically Supported
Mark S Patterson1, Sanne E Hoeks, Saskia Rijkenberg
1Amsterdam Department of Interventional Cardiology, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands. markspatterson@doctors.net.uk
Insights
A new clinical prediction rule using 3D coronary artery reconstruction accurately identifies lesions difficult to cross with conventional wires. This tool helps determine when magnetic navigation may be a preferable treatment option for patients.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
- Medical Device Technology
Background:
- Percutaneous coronary intervention (PCI) success depends on crossing complex coronary lesions.
- Identifying lesions difficult to cross conventionally is crucial for optimizing treatment strategies.
- Magnetic navigation offers potential advantages for challenging PCI cases.
Purpose of the Study:
- To develop a clinical prediction rule for identifying difficult-to-cross coronary lesions.
- To utilize 3D coronary artery reconstruction for lesion characterization.
- To prospectively evaluate the rule's ability to predict benefit from magnetic navigation.
Main Methods:
- Analysis of 120 coronary lesions using 3D reconstruction to assess vessel and lesion characteristics.
- Development of a prediction rule using multivariable logistic regression and bootstrapping.
- Validation of the rule on an independent cohort, measuring crossing time to assess difficulty.
Main Results:
- A prediction rule was developed, with a cut-off value of 6 effectively dichotomizing lesions into easy or difficult to cross.
- The rule demonstrated excellent discrimination, with a bootstrapped c-statistic of 0.82 in the validation cohort.
- Crossing time was defined as the duration to reach a satisfactory distal position post-guiding catheter.
Conclusions:
- 3D coronary artery reconstruction facilitates the creation of a simple and accurate clinical prediction rule.
- The rule effectively identifies patients with lesions that are challenging for conventional guidewires.
- The developed rule indicates potential benefit from employing magnetic navigation in specific difficult cases.
Aims:
To develop a clinical prediction rule based on 3D reconstruction of coronary arteries that would prospectively identify lesions that are difficult to cross and could benefit from magnetic navigation.
Methods And Results:
The coronary anatomy of a cohort of 120 lesions that had undergone percutaneous coronary intervention (derivation set) was analysed using 3D reconstruction for vessel and lesion characteristics. The crossing time was the total clock time to reach a satisfactory distal position after leaving the guiding catheter. Multivariable logistic regression and linear shrinkage with bootstrapping were used to develop a clinical prediction rule that dichotomised cases into easy or difficult (prolonged crossing time). A value of 6 was the best cut-off value. This clinical prediction rule was applied to a second independent cohort of patients (validation set) where crossing time was measured. The bootstrapped c-statistic of the model was 0.82 indicating excellent discrimination.
Conclusions:
3D reconstruction helped to develop a simple, accurate clinical prediction rule to identify difficult cases for conventional wires and in whom magnetic navigation may be preferable.
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