Matthew J. Bott MD , Nicolas Toumbacaris MSPH , Kay See Tan PhD , Bryan C. Husta MD , Benjamin D. Medina MD , Prasad S. Adusumilli MD , Jason A. Beattie MD , Robert P. Lee MD , Bernard J. Park MD , Joseph Dycoco BS , David R. Jones MD , Mohit Chawla MD , Gaetano Rocco MD , Or Kalchiem-Dekel MD
{"title":"描述机器人辅助支气管镜检查的学习曲线:分析高流量学术中心的技能掌握情况。","authors":"Matthew J. Bott MD , Nicolas Toumbacaris MSPH , Kay See Tan PhD , Bryan C. Husta MD , Benjamin D. Medina MD , Prasad S. Adusumilli MD , Jason A. Beattie MD , Robert P. Lee MD , Bernard J. Park MD , Joseph Dycoco BS , David R. Jones MD , Mohit Chawla MD , Gaetano Rocco MD , Or Kalchiem-Dekel MD","doi":"10.1016/j.jtcvs.2024.06.018","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Shape-sensing robotic-assisted bronchoscopy is an emerging technology for the sampling of pulmonary lesions. We seek to characterize the shape-sensing robotic-assisted bronchoscopy learning curve at an academic center.</div></div><div><h3>Methods</h3><div>Shape-sensing robotic-assisted bronchoscopy procedures performed by 9 proceduralists at a single institution were analyzed. Cumulative sum analyses were performed to examine diagnostic sampling and procedure time over each operator’s first 50 cases, with the acceptable yield threshold set to 73%.</div></div><div><h3>Results</h3><div>During the study period, 442 patients underwent sampling of 551 lesions. Each operator sampled 61 lesions (interquartile range, 60-63 lesions). Lesion size was 1.90 cm (interquartile range, 1.33-2.80 cm). The median procedure time for single-target cases decreased from 62 minutes during the first 10 cases to 39 minutes after case 40 (<em>P</em> < .001). The overall diagnostic yield was 72% (range, 58%-83%). Six of 9 operators achieved proficiency over the study period. An aggregated cumulative sum analysis of those who achieved competency demonstrated a steep improvement between lesions 1 and 21 and crossing of the competency threshold by lesion 25. Temporal analysis of yield-related lesion characteristics demonstrated that at approximately lesion 20, more challenging lesions were increasingly targeted, as evidenced by smaller target size, higher rates of unfavorable radial endobronchial ultrasound views, and a negative bronchus sign.</div></div><div><h3>Conclusions</h3><div>Skills acquisition in shape-sensing robotic-assisted bronchoscopy is variable. Approximately half of proceduralists become facile with the technology within 25 lesions. After the initial learning phase, operators increasingly target lesions with more challenging features. Overall, these findings can inform certification and competency standards and provide new users with expectations related to performance over time.</div></div>","PeriodicalId":49975,"journal":{"name":"Journal of Thoracic and Cardiovascular Surgery","volume":"169 1","pages":"Pages 269-278.e6"},"PeriodicalIF":4.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterizing a learning curve for robotic-assisted bronchoscopy: Analysis of skills acquisition in a high-volume academic center\",\"authors\":\"Matthew J. Bott MD , Nicolas Toumbacaris MSPH , Kay See Tan PhD , Bryan C. Husta MD , Benjamin D. Medina MD , Prasad S. Adusumilli MD , Jason A. Beattie MD , Robert P. Lee MD , Bernard J. Park MD , Joseph Dycoco BS , David R. Jones MD , Mohit Chawla MD , Gaetano Rocco MD , Or Kalchiem-Dekel MD\",\"doi\":\"10.1016/j.jtcvs.2024.06.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>Shape-sensing robotic-assisted bronchoscopy is an emerging technology for the sampling of pulmonary lesions. We seek to characterize the shape-sensing robotic-assisted bronchoscopy learning curve at an academic center.</div></div><div><h3>Methods</h3><div>Shape-sensing robotic-assisted bronchoscopy procedures performed by 9 proceduralists at a single institution were analyzed. Cumulative sum analyses were performed to examine diagnostic sampling and procedure time over each operator’s first 50 cases, with the acceptable yield threshold set to 73%.</div></div><div><h3>Results</h3><div>During the study period, 442 patients underwent sampling of 551 lesions. Each operator sampled 61 lesions (interquartile range, 60-63 lesions). Lesion size was 1.90 cm (interquartile range, 1.33-2.80 cm). The median procedure time for single-target cases decreased from 62 minutes during the first 10 cases to 39 minutes after case 40 (<em>P</em> < .001). The overall diagnostic yield was 72% (range, 58%-83%). Six of 9 operators achieved proficiency over the study period. An aggregated cumulative sum analysis of those who achieved competency demonstrated a steep improvement between lesions 1 and 21 and crossing of the competency threshold by lesion 25. Temporal analysis of yield-related lesion characteristics demonstrated that at approximately lesion 20, more challenging lesions were increasingly targeted, as evidenced by smaller target size, higher rates of unfavorable radial endobronchial ultrasound views, and a negative bronchus sign.</div></div><div><h3>Conclusions</h3><div>Skills acquisition in shape-sensing robotic-assisted bronchoscopy is variable. Approximately half of proceduralists become facile with the technology within 25 lesions. After the initial learning phase, operators increasingly target lesions with more challenging features. Overall, these findings can inform certification and competency standards and provide new users with expectations related to performance over time.</div></div>\",\"PeriodicalId\":49975,\"journal\":{\"name\":\"Journal of Thoracic and Cardiovascular Surgery\",\"volume\":\"169 1\",\"pages\":\"Pages 269-278.e6\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Thoracic and Cardiovascular Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022522324005403\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Thoracic and Cardiovascular Surgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022522324005403","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Characterizing a learning curve for robotic-assisted bronchoscopy: Analysis of skills acquisition in a high-volume academic center
Objective
Shape-sensing robotic-assisted bronchoscopy is an emerging technology for the sampling of pulmonary lesions. We seek to characterize the shape-sensing robotic-assisted bronchoscopy learning curve at an academic center.
Methods
Shape-sensing robotic-assisted bronchoscopy procedures performed by 9 proceduralists at a single institution were analyzed. Cumulative sum analyses were performed to examine diagnostic sampling and procedure time over each operator’s first 50 cases, with the acceptable yield threshold set to 73%.
Results
During the study period, 442 patients underwent sampling of 551 lesions. Each operator sampled 61 lesions (interquartile range, 60-63 lesions). Lesion size was 1.90 cm (interquartile range, 1.33-2.80 cm). The median procedure time for single-target cases decreased from 62 minutes during the first 10 cases to 39 minutes after case 40 (P < .001). The overall diagnostic yield was 72% (range, 58%-83%). Six of 9 operators achieved proficiency over the study period. An aggregated cumulative sum analysis of those who achieved competency demonstrated a steep improvement between lesions 1 and 21 and crossing of the competency threshold by lesion 25. Temporal analysis of yield-related lesion characteristics demonstrated that at approximately lesion 20, more challenging lesions were increasingly targeted, as evidenced by smaller target size, higher rates of unfavorable radial endobronchial ultrasound views, and a negative bronchus sign.
Conclusions
Skills acquisition in shape-sensing robotic-assisted bronchoscopy is variable. Approximately half of proceduralists become facile with the technology within 25 lesions. After the initial learning phase, operators increasingly target lesions with more challenging features. Overall, these findings can inform certification and competency standards and provide new users with expectations related to performance over time.
期刊介绍:
The Journal of Thoracic and Cardiovascular Surgery presents original, peer-reviewed articles on diseases of the heart, great vessels, lungs and thorax with emphasis on surgical interventions. An official publication of The American Association for Thoracic Surgery and The Western Thoracic Surgical Association, the Journal focuses on techniques and developments in acquired cardiac surgery, congenital cardiac repair, thoracic procedures, heart and lung transplantation, mechanical circulatory support and other procedures.