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Characterizing a learning curve for robotic-assisted bronchoscopy: Analysis of skills acquisition in a high-volume academic center

医学 病变 学习曲线 采样(信号处理) 支气管镜检查 放射科 接收机工作特性 单中心 靶病变 医学物理学 核医学 外科 计算机科学 内科学 计算机视觉 操作系统 心肌梗塞 滤波器(信号处理) 经皮冠状动脉介入治疗
作者
Matthew Bott,Nicolas Toumbacaris,Kay See Tan,Bryan Husta,Benjamin D. Medina,Prasad S. Adusumilli,Jason Beattie,Robert P. Lee,Bernard J. Park,Joseph Dycoco,David R. Jones,Mohit Chawla,Gaetano Rocco,Or Kalchiem‐Dekel
出处
期刊:The Journal of Thoracic and Cardiovascular Surgery [Elsevier BV]
被引量:2
标识
DOI:10.1016/j.jtcvs.2024.06.018
摘要

Objective Shape-sensing robotic-assisted bronchoscopy (ssRAB) is an emerging technology for the sampling of pulmonary lesions. We seek to characterize the ssRAB learning curve at an academic center. Methods SsRAB 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 (IQR, 60-63) lesions. Lesion size was 1.90 cm (IQR, 1.33-2.80). The median procedure time for single-target cases decreased from 62 minutes during the first 10 cases to 39 minutes after case 40 (P<0.001). 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 ssRAB 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. Shape-sensing robotic-assisted bronchoscopy (ssRAB) is an emerging technology for the sampling of pulmonary lesions. We seek to characterize the ssRAB learning curve at an academic center. SsRAB 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%. During the study period, 442 patients underwent sampling of 551 lesions. Each operator sampled 61 (IQR, 60-63) lesions. Lesion size was 1.90 cm (IQR, 1.33-2.80). The median procedure time for single-target cases decreased from 62 minutes during the first 10 cases to 39 minutes after case 40 (P<0.001). 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. Skills acquisition in ssRAB 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.
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