2026-10-06T05:16:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34008252 2026-09-28T04:30:06Z category_179 portal_316 item_type_3 month_year_09_2026

Table 2_High-precision universality? A matched-pair sawbone study on the learning curve, accuracy, and implant interchangeability of a novel open-platform robotic UKA system.docx Pengyu Zhan (25119330) Ziyue Liu (381532) Boran Liang (25119333) Yugang Xing (8455107) Xingyu Liu (1528789) Yiling Zhang (5047313) Jing Chen (4762) Artificial Intelligence and Image Processing implant switching learning curve open-platform system robotic arthroplasty sawbone model unicompartmental knee arthroplasty Background<p>Robotic-assisted unicompartmental knee arthroplasty (UKA) improves implant positioning over conventional techniques, but commercial systems commonly bind the robotic platform to a single implant manufacturer, restricting clinical flexibility. Open-platform systems offer a vendor-neutral alternative, yet their effect on novice execution precision and workflow stability during implant switching remains insufficiently characterized.</p>Methods<p>A prospective exploratory matched-pair case series was conducted on standardized synthetic bone models (Sawbones). Two robotic-naïve medical students, after identical training and baseline assessment, each performed 20 consecutive robotic UKA procedures on the ROPA open-platform system (Beijing Changmugu Medical Technology). Operator A used a single implant (Sigma HP Uni, DePuy Synthes); Operator B alternated between two manufacturer-specific workflows (DePuy Synthes; Kangernuo Medical). Because each condition included only one operator, observed differences reflect combined operator- and workflow-related factors that cannot be disentangled. Learning curves were assessed by Cumulative Sum (CUSUM). Three-dimensional resection accuracy was quantified by high-precision laser scanning. Overall perceived workload was assessed with NASA-TLX.</p>Results<p>The precision CUSUM oscillated around zero for both operators (peak amplitudes +0.30 and −0.54 mm), indicating sub-millimeter accuracy from the first case without a detectable learning phase. All 40 cases fell within the ±1 mm safe zone (P > 0.05 across resection depths). Tibial valgus deviation was greater in Operator B (1.74° ± 1.33° vs. 0.97° ± 0.96°; P = 0.028, Wilcoxon signed-rank test), and the mean deviation of both operators remained below the ±2° degree threshold. Operator B reached the operative-time inflection point earlier (Case 5 vs. 10) and reported lower NASA-TLX workload (32.05 ± 25.60 vs. 38.35 ± 23.72, P = 0.010); this difference cannot be attributed to workflow alone.</p>Conclusion<p>Under sawbone conditions—which cannot reproduce soft-tissue balancing, bleeding, anatomical variability, patient-specific deformity, or intraoperative decision-making—this two-operator exploratory evaluation found no evidence of compromised accuracy during alternating-implant workflows, with all 40 cases sub-millimeter. Findings are hypothesis-generating pre-clinical observations requiring validation in adequately powered, multi-operator prospective studies before clinical inference.</p> 2026-09-28T04:30:06Z Dataset Dataset 10.3389/frobt.2026.1886514 https://figshare.com/articles/dataset/Table_2_High-precision_universality_A_matched-pair_sawbone_study_on_the_learning_curve_accuracy_and_implant_interchangeability_of_a_novel_open-platform_robotic_UKA_system_docx/34008252 CC BY 4.0