Abstract

In laparoscopic surgery, the surgeon must operate with a limited field of view and reduced depth perception. This makes spatial understanding of critical structures difficult, such as an endophytic tumour in a partial nephrectomy. Such tumours yield a high complication rate of 47%, and excising them increases the risk of cutting into the kidney's collecting system. To overcome these challenges, an augmented reality guidance system is proposed. Using intra-operative ultrasound, a single navigation aid, and surgical instrument tracking, four augmentations of guidance information are provided during tumour excision. Qualitative and quantitative system benefits are measured in simulated robot-assisted partial nephrectomies. Robot-to-camera calibration achieved a total registration error of 1.0 ± 0.4 mm while the total system error is 2.5 ± 0.5 mm. The system significantly reduced healthy tissue excised from an average (±standard deviation) of 30.6 ± 5.5 to 17.5 ± 2.4 cm3 (p < 0.05) and reduced the depth from the tumor underside to cut from an average (±standard deviation) of 10.2 ± 4.1 to 3.3 ± 2.3 mm (p < 0.05). Further evaluation is required in vivo, but the system has promising potential to reduce the amount of healthy parenchymal tissue excised.

Highlights

  • In laparoscopic surgery, a surgeon must operate with a laparoscope and long rigid surgical instruments

  • The laparoscope provides a video feed, which is displayed via a monitor

  • Minimal margin size is recommended as 5 mm [5]

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Summary

Introduction

A surgeon must operate with a laparoscope and long rigid surgical instruments. The laparoscope provides a video feed, which is displayed via a monitor. When the surgeon looks at the display, the surgeon has a reduced field of view and limited depth perception. Even with advances in robot-assisted procedures, visualisation challenges persist. The consequence is that it makes soft tissue abdominal surgery difficult. This happens when the surgeon excises small renal cell carcinoma masses

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