Navigation Improves Tumor Ablation Performance: Results From a Novel Liver Tumor Simulator Study

Autor: Kratzke, Ian M., Goss, Ryan S., Razzaque, Sharif, Shih, Alex, Steele, Paula L., Nurczyk, Kamil M., Gerber, David A.
Zdroj: The American Surgeon; May 2023, Vol. 89 Issue: 5 p1693-1700, 8p
Abstrakt: Background The efficacy of microwave ablation in treating hepatic tumors requires advanced ultrasound skills. Failure of proper technique has the potential for either under- or over-treatment and possible harm to the patient. Emprint SX™ navigation provides surgeons with intra-operative, real-time navigation through augmented reality localization of the ablation antenna and the expected ablation zone. We hypothesize that incorporating this technology leads to improved targeting and optimizes ablation coverage. This study utilizes a simulated model to evaluate ablation outcomes using Emprint SX™ navigation vs standard ultrasound.Methods Surgical residents and faculty were recruited from a single institution. Using a novel tumor ablation simulator, participants performed ablations via 2 modes: standard ultrasound guidance (STD) and Emprint SX™ navigation (NAV). Primary outcome was the percentage of under-ablation. Secondary outcomes included percentage of over-ablation, time to complete trial, and number of attempts to position antenna.Results 281 trials were performed by fifteen participants, with 47% female and 60% novice ablationists. Under-ablation volume decreased by a mean of 16.3% (SEM ±12.9, P< .001) with NAV compared to STD. Over-ablation volume decreased by a mean of 14.0% (±8.2, P< .001). NAV time was faster by a mean of 32 seconds (±24.9, P< .001) and involved fewer antenna placement attempts by a mean of 1.3 (±1.0, P< .001). For novice ablationists, all outcomes were improved with NAV and novices saw larger improvements compared to experienced ablationists (P= .018).Discussion In a simulated model, NAV improves ablation efficacy and efficiency, with novices gaining the greatest benefit over standard ultrasound.
Databáze: Supplemental Index