Application of the Ultraleap 3Di-Based Gesture-Controlled 3D Imaging Visualization System in Pulmonary Segmentectomy:...

Area of Science:

• Thoracic Surgery
• Surgical Technology
• Medical Imaging

Background:

• Pulmonary segmentectomy is vital for early-stage lung cancer but requires precise anatomical identification.
• Current methods involve cumbersome, contact-based imaging devices that risk sterile environments.
• Surgeons often need frequent, disruptive access to 3D imaging data during operations.

Purpose of the Study:

• To evaluate the clinical utility of a gesture-controlled, non-contact 3D imaging system (Ultraleap 3Di) during pulmonary segmentectomy.
• To assess the impact of this system on intraoperative efficiency and surgeon satisfaction compared to traditional methods.

Main Methods:

• 58 patients with early-stage non-small cell lung cancer undergoing video-assisted thoracoscopic pulmonary segmentectomy were randomized.
• The experimental group used the Ultraleap 3Di system for non-contact 3D image review.
• The control group used conventional contact-based devices operated by non-sterile assistants; outcomes included image retrieval time, operative time, blood loss, resection margins, and surgeon satisfaction.

Main Results:

• The Ultraleap 3Di group showed significantly reduced intraoperative image retrieval time (75.16s vs 209.59s, p<0.001) and total operative time (88.72min vs 96.55min, p=0.036).
• No significant differences were found in R0 resection rates (both 100%), blood loss, or drainage duration.
• Surgeons reported high satisfaction with image clarity and navigation timeliness, though operational convenience was neutral.

Conclusions:

• The Ultraleap 3Di non-contact system enhances procedural efficiency in segmentectomy by reducing image retrieval time without compromising safety or oncological outcomes.
• Future development should focus on improving gesture interaction intuitiveness and integrating augmented reality and AI for advanced utility.