Learning curve analysis of radiofrequency ablation for benign thyroid nodules

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...

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Autores principales:	Chi-Yu Kuo, Chien-Liang Liu, Chung-Hsin Tsai, Shih-Ping Cheng
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	learning curve cusum radiofrequency ablation volume reduction rate thyroid nodules Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/0f14412742294d60be0014da16f0df9c
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spelling	oai:doaj.org-article:0f14412742294d60be0014da16f0df9c2021-11-04T15:00:41ZLearning curve analysis of radiofrequency ablation for benign thyroid nodules0265-67361464-515710.1080/02656736.2021.1993358https://doaj.org/article/0f14412742294d60be0014da16f0df9c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/02656736.2021.1993358https://doaj.org/toc/0265-6736https://doaj.org/toc/1464-5157Background 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.Chi-Yu KuoChien-Liang LiuChung-Hsin TsaiShih-Ping ChengTaylor & Francis Grouparticlelearning curvecusumradiofrequency ablationvolume reduction ratethyroid nodulesMedical technologyR855-855.5ENInternational Journal of Hyperthermia, Vol 38, Iss 1, Pp 1536-1540 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	learning curve cusum radiofrequency ablation volume reduction rate thyroid nodules Medical technology R855-855.5
spellingShingle	learning curve cusum radiofrequency ablation volume reduction rate thyroid nodules Medical technology R855-855.5 Chi-Yu Kuo Chien-Liang Liu Chung-Hsin Tsai Shih-Ping Cheng Learning curve analysis of radiofrequency ablation for benign thyroid nodules
description	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.
format	article
author	Chi-Yu Kuo Chien-Liang Liu Chung-Hsin Tsai Shih-Ping Cheng
author_facet	Chi-Yu Kuo Chien-Liang Liu Chung-Hsin Tsai Shih-Ping Cheng
author_sort	Chi-Yu Kuo
title	Learning curve analysis of radiofrequency ablation for benign thyroid nodules
title_short	Learning curve analysis of radiofrequency ablation for benign thyroid nodules
title_full	Learning curve analysis of radiofrequency ablation for benign thyroid nodules
title_fullStr	Learning curve analysis of radiofrequency ablation for benign thyroid nodules
title_full_unstemmed	Learning curve analysis of radiofrequency ablation for benign thyroid nodules
title_sort	learning curve analysis of radiofrequency ablation for benign thyroid nodules
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/0f14412742294d60be0014da16f0df9c
work_keys_str_mv	AT chiyukuo learningcurveanalysisofradiofrequencyablationforbenignthyroidnodules AT chienliangliu learningcurveanalysisofradiofrequencyablationforbenignthyroidnodules AT chunghsintsai learningcurveanalysisofradiofrequencyablationforbenignthyroidnodules AT shihpingcheng learningcurveanalysisofradiofrequencyablationforbenignthyroidnodules
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Learning curve analysis of radiofrequency ablation for benign thyroid nodules

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