Annals of surgical oncology · 2026
Vector Physics Applied: A Strategic Approach to Optimized Retraction in Robotic Liver Surgery.
СтатьяНазвание и аннотация: Перевод в очереди
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Kawano Fumihiro, Lim Megan A, Kemprecos Helen J, Tsai Kathryn, Cheah Daniel, Zhang Qianchen, Alshammary Shadi, Polites Gregory, Cohen Mark, Mise Yoshihiro, Saiura Akio, Conrad Claudius
Аннотация
BACKGROUND: Robotic liver resection continues to expand; yet surgeons frequently face a fundamental limitation: there are not enough available "hands" to provide effective retraction.1 Although traction and counter-traction are fundamental principles of surgery, robotic platforms constrain how these forces can be applied, often resulting in limited exposure during parenchymal transection.2-5 To address this limitation, we describe a vector-based approach that integrates multiple sources of traction-including ligament-based traction, gallbladder traction, suture-based traction, and retraction using robotic arms-to facilitate effective traction and counter-traction.
METHODS: Patient-specific 3D liver models were reconstructed from contrast-enhanced CT using the SYNAPSE® VINCENT (version 7.0, FUJIFILM Corporation, Tokyo, Japan) with Liver Analysis and Liver Deformation applications. Virtual simulations visualized intended retraction vectors and anchoring points. Intraoperatively, exposure used a multimodal strategy combining: 1) traction after ligament transection; 2) gallbladder traction; 3) exteriorized sutures with adjustable tension; and 4) dynamic retraction using robotic arms when available.
RESULTS: Three representative traction patterns were demonstrated: 1) combined ligament, gallbladder, suture, and robotic arm traction providing coordinated traction-counter-traction during parenchymal transection; 2) V-shaped suture traction with robotic arm counter-traction to open the transection plane; and 3) bilateral traction along the demarcation line for wide counter-traction in major hepatectomy. In all patterns, aligned traction vectors enabled stable visualization of the transection plane.
CONCLUSIONS: This multimodal, vector-based approach offers a reproducible method of addressing traction and counter-traction constraints inherent to robotic liver surgery. Integration of 3D simulation optimizes preoperative planning and facilitates safe and efficient parenchymal transection.
METHODS: Patient-specific 3D liver models were reconstructed from contrast-enhanced CT using the SYNAPSE® VINCENT (version 7.0, FUJIFILM Corporation, Tokyo, Japan) with Liver Analysis and Liver Deformation applications. Virtual simulations visualized intended retraction vectors and anchoring points. Intraoperatively, exposure used a multimodal strategy combining: 1) traction after ligament transection; 2) gallbladder traction; 3) exteriorized sutures with adjustable tension; and 4) dynamic retraction using robotic arms when available.
RESULTS: Three representative traction patterns were demonstrated: 1) combined ligament, gallbladder, suture, and robotic arm traction providing coordinated traction-counter-traction during parenchymal transection; 2) V-shaped suture traction with robotic arm counter-traction to open the transection plane; and 3) bilateral traction along the demarcation line for wide counter-traction in major hepatectomy. In all patterns, aligned traction vectors enabled stable visualization of the transection plane.
CONCLUSIONS: This multimodal, vector-based approach offers a reproducible method of addressing traction and counter-traction constraints inherent to robotic liver surgery. Integration of 3D simulation optimizes preoperative planning and facilitates safe and efficient parenchymal transection.