International consensus on anatomical structures to identify on ultrasound for the performance of basic blocks in ultrasound-guided regional anesthesia

医学 超声波 德尔菲法 医学物理学 块(置换群论) 集合(抽象数据类型) 过程(计算) 德尔菲 放射科 人工智能 计算机科学 几何学 数学 操作系统 程序设计语言
作者
James Bowness,Amit Pawa,Lloyd Turbitt,Boyne Bellew,N. Bedforth,David Burckett-St Laurent,Alain Delbos,Nabil Elkassabany,Jenny Ferry,Ben Fox,J. French,Calum Grant,Ashwani Gupta,W. Harrop‐Griffiths,Nat Haslam,Helen Higham,Rosemary Hogg,David F Johnston,Rachel Kearns,Sandra L. Kopp
出处
期刊:Regional Anesthesia and Pain Medicine [BMJ]
卷期号:47 (2): 106-112 被引量:45
标识
DOI:10.1136/rapm-2021-103004
摘要

There is no universally agreed set of anatomical structures that must be identified on ultrasound for the performance of ultrasound-guided regional anesthesia (UGRA) techniques. This study aimed to produce standardized recommendations for core (minimum) structures to identify during seven basic blocks. An international consensus was sought through a modified Delphi process. A long-list of anatomical structures was refined through serial review by key opinion leaders in UGRA. All rounds were conducted remotely and anonymously to facilitate equal contribution of each participant. Blocks were considered twice in each round: for “orientation scanning” (the dynamic process of acquiring the final view) and for the “block view” (which visualizes the block site and is maintained for needle insertion/injection). Strong recommendations for inclusion were made if ≥75% of participants rated a structure as “definitely include” in any round. Weak recommendations were made if >50% of participants rated a structure as “definitely include” or “probably include” for all rounds (but the criterion for “strong recommendation” was never met). Thirty-six participants (94.7%) completed all rounds. 128 structures were reviewed; a “strong recommendation” is made for 35 structures on orientation scanning and 28 for the block view. A “weak recommendation” is made for 36 and 20 structures, respectively. This study provides recommendations on the core (minimum) set of anatomical structures to identify during ultrasound scanning for seven basic blocks in UGRA. They are intended to support consistent practice, empower non-experts using basic UGRA techniques, and standardize teaching and research.
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
尹如凡完成签到,获得积分20
1秒前
esyncoms发布了新的文献求助10
2秒前
Orange应助晨宇王采纳,获得10
2秒前
3秒前
22336应助hqr采纳,获得20
4秒前
sam发布了新的文献求助30
4秒前
中平完成签到 ,获得积分10
4秒前
木木木完成签到,获得积分10
4秒前
yuan完成签到,获得积分10
5秒前
6秒前
6秒前
展七发布了新的文献求助30
6秒前
Akim应助俏皮月饼采纳,获得10
6秒前
fufu6完成签到,获得积分10
6秒前
冠珠发布了新的文献求助10
7秒前
科目三应助小菜粒采纳,获得10
7秒前
充电宝应助limof采纳,获得10
7秒前
李爱国应助奋斗夏烟采纳,获得10
7秒前
8秒前
zxp完成签到,获得积分20
8秒前
9秒前
10秒前
10秒前
汉堡包应助qianqianya采纳,获得10
10秒前
orixero应助优雅的水晶吊灯采纳,获得10
11秒前
领导范儿应助星期五采纳,获得10
11秒前
12秒前
哈哈哈发布了新的文献求助10
12秒前
科研通AI6.4应助1211543225采纳,获得10
12秒前
12秒前
认真的不评应助dm采纳,获得10
12秒前
12秒前
12秒前
12秒前
顺利完成签到,获得积分10
13秒前
煜融发布了新的文献求助10
13秒前
13秒前
13秒前
救救我完成签到,获得积分10
13秒前
毫末发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7388245
求助须知:如何正确求助?哪些是违规求助? 8994711
关于积分的说明 19139733
捐赠科研通 7025004
什么是DOI,文献DOI怎么找? 3228329
关于科研通互助平台的介绍 2390799
邀请新用户注册赠送积分活动 2209373