ArticleBioengineering (Basel, Switzerland)2026
Application of the Ultraleap 3Di-Based Gesture-Controlled 3D Imaging Visualization System in Pulmonary Segmentectomy: A Single-Center Prospective Study.
Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivePulmonary segmentectomy serves as a crucial approach for treating early-stage lung cancer. However, this procedure demands precise identification of segmental anatomy, and surgeons often need to repeatedly consult the patient's 3D imaging data or other medical records during the operation. Traditional contact-based intraoperative imaging assistance devices involve cumbersome operation and pose risks to the sterile environment. This study aims to evaluate the clinical utility of an Ultraleap 3Di-based gesture-controlled 3D imaging visualization system for non-contact interaction during pulmonary segmentectomy in patients with early-stage lung cancer.
methodsThis study enrolled 58 patients with early-stage non-small cell lung cancer scheduled for video-assisted thoracoscopic pulmonary segmentectomy from June 2025 to December 2025. Participants were randomly assigned to either the experimental group or the control group. Intraoperatively, the experimental group utilized the Ultraleap 3Di system for non-contact 3D image review, while the control group relied on conventional contact-based devices for image retrieval, which was operated by non-sterile assistants. The compared outcomes included intraoperative image retrieval time, total operative time, intraoperative blood loss, R0 resection rate, postoperative drainage duration, and surgeon satisfaction.
resultsThe baseline characteristics were comparable between the two groups. The mean age was 53.66 ± 9.12 years in the experimental group and 55.21 ± 8.76 years in the control group (t = -0.66,
conclusionsThe Ultraleap 3Di-based non-contact visualization system reduces the time required for intraoperative image retrieval and improves overall procedural efficiency in segmentectomy, without compromising surgical safety or oncological radicality. Future efforts should focus on optimizing the intuitiveness of gesture interaction and exploring its integration with augmented reality and artificial intelligence to further advance the system's intelligence and practical utility.
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