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DOI: 10.1055/a-2751-8780
An Algorithmic Approach to Arterial Coupler Use in Microsurgical Breast Reconstruction: Comparison with Hand-Sewn Sutures
Autoren
Background: Microsurgical breast reconstruction offers superior outcomes after mastectomy, but vascular microanastomosis remains technically demanding. Venous couplers are widely adopted, whereas the use of arterial couplers remains controversial. This study aimed to establish an algorithmic approach for arterial coupler use and compare outcomes with hand-sewn sutures. Methods: A retrospective review was performed on 105 patients undergoing deep inferior epigastric perforator (DIEP) flap breast reconstruction by a single surgeon. Patients were divided into an arterial coupler group (n=62) and a hand-sewn suture group (n=43). An intraoperative algorithm guided coupler use, requiring absence of atherosclerosis, intact intima, and adequate vessel laxity. Demographics, operative details, microanastomosis time, and postoperative outcomes were analyzed. Results: Patients in the coupler group were younger (47.6 ± 8.6 vs. 53.0 ± 7.9 years, p=0.001) and underwent more robot-assisted procedures (16.1% vs. 2.3%, p=0.025). Microanastomosis time was significantly shorter with couplers (19.6 ± 8.9 vs. 26.1 ± 6.5 minutes, p<0.01). Flap survival was comparable between groups (96.8% vs. 100%, p=0.512). Complication rates, including arterial/venous insufficiency, hematoma, and infection, showed no significant differences. Two coupler failures occurred: one venous congestion and one late thrombosis, both attributed to multifactorial causes rather than device failure. Conclusions: Arterial couplers, when used under strict algorithmic selection criteria, provide reliable outcomes comparable to hand-sewn sutures while significantly reducing operative time. This approach enhances efficiency in microsurgical breast reconstruction and may guide future standardized practice.
Publikationsverlauf
Eingereicht: 04. September 2025
Angenommen nach Revision: 19. November 2025
Accepted Manuscript online:
24. November 2025
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