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 滤波器(信号处理) 经皮冠状动脉介入治疗 心肌梗塞
作者
Matthew J. 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:4
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
刚刚
刚刚
wang完成签到,获得积分10
刚刚
VK2801发布了新的文献求助10
刚刚
1秒前
向连虎完成签到,获得积分20
1秒前
自由逐风发布了新的文献求助10
1秒前
zll发布了新的文献求助10
2秒前
waiting完成签到,获得积分10
2秒前
2秒前
缓慢易云完成签到,获得积分20
3秒前
领导范儿应助zhao采纳,获得10
3秒前
虚心世立完成签到,获得积分10
3秒前
欢呼的乐巧完成签到,获得积分10
4秒前
4秒前
柴犬完成签到,获得积分10
4秒前
4秒前
4秒前
5秒前
Zhangyu完成签到,获得积分20
5秒前
5秒前
无极微光应助细致且入微采纳,获得20
5秒前
缓慢易云发布了新的文献求助10
5秒前
6秒前
Akim应助WD采纳,获得10
7秒前
7秒前
7秒前
pe发布了新的文献求助10
8秒前
8秒前
cpufigo发布了新的文献求助10
8秒前
猫蒲发布了新的文献求助10
9秒前
潇洒夜安完成签到,获得积分10
10秒前
10秒前
林新宇发布了新的文献求助10
10秒前
科研小蔡发布了新的文献求助10
10秒前
科研通AI6.2应助GGG采纳,获得10
11秒前
11秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6477684
求助须知:如何正确求助?哪些是违规求助? 8279440
关于积分的说明 17657587
捐赠科研通 5559812
什么是DOI,文献DOI怎么找? 2910902
邀请新用户注册赠送积分活动 1887873
关于科研通互助平台的介绍 1741389