Navigated hepatic tumor resection using intraoperative ultrasound imaging

TL;DR

This study demonstrates that intraoperative ultrasound-based navigation for liver tumor resection is feasible and achieves high accuracy, potentially simplifying image-guided surgery without preoperative registration.

Contribution

The paper introduces a novel registration-free navigation system using intraoperative ultrasound for open liver surgery, showing promising accuracy and workflow efficiency.

Findings

Navigation was successfully established in all patients.

Median accuracy of 3.2 mm in tumor localization.

High rate (93.8%) of R0 tumor resections.

Abstract

Purpose: This proof-of-concept study evaluates feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike most conventional systems that rely on registration to preoperative imaging, the proposed system provides navigation-guided resection using 3D models generated from intraoperative ultrasound. Methods: A pilot study was conducted in 25 patients undergoing resection of liver metastases. The first five cases served to optimize the workflow. Intraoperatively, an electromagnetic sensor compensated for organ motion, after which an ultrasound volume was acquired. Vasculature was segmented automatically and tumors semi-automatically using region-growing (n=15) or a deep learning algorithm (n=5). The resulting 3D model was visualized alongside tracked surgical instruments. Accuracy was assessed by comparing the distance between surgical clips and tumors in the navigation software with the same distance on a postoperative CT of the resected specimen. Results: Navigation was successfully established in all 20 patients. However, four cases were excluded from accuracy assessment due to intraoperative sensor detachment (n=3) or incorrect data recording (n=1). The complete navigation workflow was operational within 5-10 minutes. In 16 evaluable patients, 78 clip-to-tumor distances were analyzed. The median navigation accuracy was 3.2 mm [IQR: 2.8-4.8 mm], and an R0 resection was achieved in 15/16 (93.8%) patients and one patient had an R1 vascular resection. Conclusion: Navigation based solely on intra-operative ultrasound is feasible and accurate for liver surgery. This registration-free approach paves the way for simpler and more accurate image guidance systems.