Navigation of lead extraction-is it possible? Impact of preprocedural electrocardiogram-triggered computed tomography on navigation of lead extraction
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Abstract
OBJECTIVES: As the number of transvenous lead extractions continues to increase, preprocedural protocols for this procedure must be assessed. The objective of this study was to determine whether an electrocardiogram (ECG)-triggered computed tomography (Et-CT) with three-dimensional (3D) reconstructions could aid lead extractors in choosing the optimal tools to improve procedural success and avoid complications.
METHODS: In this study, 31 patients scheduled for transvenous lead extraction underwent a preprocedural Et-CT between January 2016 and May 2017. Both 3D-reconstructions and the two-dimensional files were reviewed for possible lead adhesions, calcifications, migrations or perforations.
RESULTS: Mean age was 46.7 ± 14.0 years. Seventy-one percent of patients were men, and 29.0% had undergone prior cardiac surgery. Indications for extraction included infection (n = 18, 58.1%), lead dysfunction (n = 8, 25.8%), upgrade (n = 3, 9.7%), severe tricuspid regurgitation (n = 1, 3.2%) and superior vena cava occlusion (n = 1, 3.2%). Eighteen patients had an implantable cardioverter defibrillator (58.1%). Sixty-eight of 70 targeted leads were extracted with a mean of 2.2 leads per patient and an average lead age of 109.3 ± 58.7 months. Et-CT files supported transvenous lead extraction by revealing possible adhesions in 16 patients, 5 perforations and 2 venous occlusions. Lead extraction was performed using the excimer laser, mechanical tools and femoral snares. Complete procedural success was achieved in 93.5% (n = 29) of cases. Clinical success was 100%, and intraoperative mortality was 0%.
CONCLUSIONS: A preprocedural Et-CT with 3D reconstructions can help to visualize lead alignment and identify abnormalities that may foreshadow procedural difficulties. A preprocedural Et-CT may therefore aid lead extractors in choosing the optimal extraction tool and strategy.
Bibliographical data
Original language | English |
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ISSN | 1010-7940 |
DOIs | |
Publication status | Published - 01.10.2018 |
PubMed | 29617993 |
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