Learning curve analysis of radiofrequency ablation for benign thyroid nodules

Abstract

Background: Radiofrequency ablation (RFA) has been increasingly accepted as an alternative to surgery in the treatment of symptomatic benign thyroid nodules. However, the learning curve of thyroid RFA has yet to be defined. We hypothesized a temporal relationship between proficiency of the skill and midterm volume reduction. Methods: Consecutive patients who underwent RFA and had at least a six-month follow-up were identified from an institutional database. The cumulative sum (CUSUM) analysis was applied to visualize the learning curve on the adjusted volume reduction rate (VRR). Results: A total of 102 nodules in 93 patients were included in the analysis. Linear regression revealed that nodule composition was the main predictor of the VRR. The composition-adjusted VRR increased with the chronological treatment order. The series was divided into three phases based on inflection points of the CUSUM analysis: the initial learning phase (case 1–20), consolidation phase (case 21–65), and proficiency phase (case 66–102). In the later phase, more solid nodules were treated, power output used by the operator was higher, and RFA treatment time was longer. Conclusion: The treatment efficiency of thyroid RFA was associated with technical proficiency, suggesting the presence of a learning curve effect.