Work

Efficiency for robotic-assisted extraction of completely impacted supernumerary teeth in children: a randomized controlled trial

Year: 2025

Type: article

Study designs: Randomized Controlled Trial, Clinical Trial

Abstract: OBJECTIVES: To evaluate the clinical efficacy of an autonomous robotic system in reducing bone resection volume and operative time for impacted teeth extraction in children, compared to conventional surgical techniques. METHODS: A single-blinded randomized controlled trial enrolled 10 pediatric patients impacted teeth. Each participant received robotic surgery (test group) and conventional surgery (control group) on contralateral quadrants. Primary outcomes were bone resection volume ratio (measured via pre-/post-op CBCT segmentation) and operative time. Secondary outcomes included nerve injury incidence and healing outcomes. Differences were analyzed via paired t-tests and generalized estimating equations. RESULTS: In this RCT of 10 children with impacted teeth, robotic surgery reduced total operative time by 35% (30.7 ± 6.3 vs. 39.3 ± 4.2 min, p < 0.05) and bone resection time by 65% (8.6 ± 3.3 vs. 24.2 ± 4.8 min, p < 0.001), while eliminating nerve injuries (0 vs. 1 case). Volumetric analysis confirmed 42% less bone resection (56.8 ± 9.2% vs. 98.4 ± 13.2%, p < 0.001) through automated segmentation and Boolean subtraction. CONCLUSION: This first RCT on autonomous robotic surgery for pediatric impacted teeth confirms its minimal invasiveness, and operative efficiency. The system significantly reduces bone loss while ensuring anatomical safety in complex pediatric cases. CLINICAL SIGNIFICANCE: As the pioneering autonomous robotic platform validated through RCT for pediatric oral surgery, this technology offers a clinically viable solution to minimize surgical trauma and operative risks in children, addressing critical challenges in dentoalveolar procedures. REGISTRY: Chinese Clinical Trial Registry, TRN: ChiCTR2400092822, Registration date: 25 November 2024.

Source: BMC Oral Health

DOI: 10.1186/s12903-025-07167-9

Authors: Chen Liu, Tiankai Di, Yujiang Chen, Li-an Wu, Shizhu Bai, Yimin Zhao

Institution: Air Force Medical University

Language: English

Topic: Dental Radiography and Imaging

Subfield: Oral Surgery

Field: Dentistry

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,190