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Background <p>Robotic liver resection continues to expand; yet surgeons frequently face a fundamental limitation: there are not enough available “hands” to provide effective retraction.<sup><CitationRef CitationID="CR1">1</CitationRef></sup> 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.<sup><CitationRef AdditionalCitationIDS="CR3 CR4" CitationID="CR2">2</CitationRef>–<CitationRef CitationID="CR5">5</CitationRef></sup> 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.</p> Methods <p>Patient-specific 3D liver models were reconstructed from contrast-enhanced CT using the SYNAPSE<sup>®</sup> 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.</p> Results <p>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.</p> Conclusions <p>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.</p>

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Vector Physics Applied: A Strategic Approach to Optimized Retraction in Robotic Liver Surgery

  • 期刊论文

  • 发表日期：

    2026年4月8日

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  • Fumihiro Kawano,
  • Megan A. Lim,
  • Helen J. Kemprecos,
  • Kathryn Tsai,
  • Daniel Cheah,
  • Qianchen Zhang,
  • Shadi Alshammary,
  • Gregory Polites,
  • Mark Cohen,
  • Yoshihiro Mise,
  • Akio Saiura,
  • Claudius Conrad

摘要

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.