Speckle tracking quantification of lung sliding for the diagnosis of pneumothorax: a multicentric observational study.

麻醉学 放射科 观察研究
作者
Gary Duclos,Xavier Bobbia,Thibaut Markarian,Laurent Muller,Camille Cheyssac,Sarah Castillon,Noémie Resseguier,Alain Boussuges,Giovanni Volpicelli,Marc Leone,Laurent Zieleskiewicz
出处
期刊:Intensive Care Medicine [Springer Science+Business Media]
卷期号:45 (9): 1212-1218 被引量:7
标识
DOI:10.1007/s00134-019-05710-1
摘要

Lung ultrasound is used for the diagnosis of pneumothorax, based on lung sliding abolition which is a qualitative and operator-dependent assessment. Speckle tracking allows the quantification of structure deformation over time by analysing acoustic markers. We aimed to test the ability of speckle tracking technology to quantify lung sliding in a selected cohort of patients and to observe how the technology may help the process of pneumothorax diagnosis. We performed retrospectively a pleural speckle tracking analysis on ultrasound loops from patients with pneumothorax. We compared the values measured by two observers from pneumothorax side with contralateral normal lung side. The receiver operating characteristic (ROC) curve was constructed to evaluate the performance of maximal pleural strain to detect the lung sliding abolition. Diagnosis performance and time to diagnosis between B-Mode and speckle tracking technology were compared from a third blinded observer. We analysed 104 ultrasound loops from 52 patients. The area under the ROC curve of the maximal pleural strain value to identify lung sliding abolition was 1.00 [95%CI 1.00; 1.00]. Specificity was 100% [95%CI 93%; 100%] and sensitivity was 100% [95%CI 93%; 100%] with the best cut-off of 4%. Over 104 ultrasound loops, the blinded observer made two errors with B-Mode and none with speckle tracking. The median diagnosis time was 3 [2–5] seconds for B-Mode versus 2 [1–2] seconds for speckle tracking (p = 0.001). Speckle tracking technology allows lung sliding quantification and detection of lung sliding abolition in case of pneumothorax on selected ultrasound loops.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Orange应助desperado采纳,获得10
刚刚
Alicia完成签到,获得积分10
刚刚
刚刚
Merci完成签到,获得积分10
刚刚
刚刚
健忘的奇异果完成签到 ,获得积分10
2秒前
memo应助凶狠的小土豆采纳,获得10
2秒前
在水一方应助阳光的衫采纳,获得10
2秒前
sci_finder完成签到,获得积分10
2秒前
qazwsx发布了新的文献求助30
2秒前
爱吃黄豆完成签到,获得积分10
3秒前
4秒前
4秒前
wzswzs完成签到,获得积分10
4秒前
木头马尾应助小W爱吃梨采纳,获得10
4秒前
joxes发布了新的文献求助10
4秒前
5秒前
酷炫迎波完成签到,获得积分10
6秒前
京墨天一完成签到,获得积分10
6秒前
6秒前
科研通AI5应助俊逸艳一采纳,获得10
6秒前
樊孟完成签到,获得积分10
6秒前
ceeray23应助冰镇西瓜采纳,获得10
7秒前
peng完成签到 ,获得积分10
7秒前
科研通AI5应助emxzemxz采纳,获得10
8秒前
8秒前
zhuboujs发布了新的文献求助10
8秒前
www发布了新的文献求助10
9秒前
兴奋的沛蓝完成签到,获得积分10
9秒前
yy发布了新的文献求助10
10秒前
qazwsx完成签到,获得积分10
10秒前
10秒前
小牧鱼完成签到,获得积分10
11秒前
唠叨的网络完成签到,获得积分10
11秒前
怕黑不惜完成签到,获得积分10
11秒前
水木公完成签到,获得积分10
11秒前
在水一方应助111采纳,获得10
11秒前
胡大笑哈哈哈完成签到 ,获得积分10
11秒前
长林完成签到 ,获得积分10
12秒前
数学家发布了新的文献求助10
12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
Zeolites: From Fundamentals to Emerging Applications 1500
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 500
translating meaning 500
Storie e culture della televisione 500
Selected research on camelid physiology and nutrition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4902185
求助须知:如何正确求助?哪些是违规求助? 4181228
关于积分的说明 12980171
捐赠科研通 3946514
什么是DOI,文献DOI怎么找? 2164652
邀请新用户注册赠送积分活动 1182883
关于科研通互助平台的介绍 1089373