Accuracy of transthoracic ultrasound for the detection of pleural adhesions

医学 放射科 超声波
作者
Nicola Cassanelli,Guido Caroli,Giampiero Dolci,Andrea Dell’Amore,Giulia Luciano,A Bini,Franco Stella
出处
期刊:European Journal of Cardio-Thoracic Surgery [Oxford University Press]
卷期号:42 (5): 813-818 被引量:63
标识
DOI:10.1093/ejcts/ezs144
摘要

In the era of minimally invasive surgery, preoperative detection of pleural adhesions can be very useful for the assessment of surgical approach, because pleural adhesions are the main contraindication to video-assisted thoracoscopy. The aim of this study was to assess the sensitivity and specificity of transthoracic ultrasound in the detection of pleural adhesions prior to thoracic surgery. From February 2010 to January 2011, 142 consecutive patients (male, 98; female, 44; age range, 36–83 years, mean age, 63.4 years) undergoing surgical thoracic intervention (except for pneumothorax) were preoperatively scanned by two different surgeons. According to thoracic wall projections of lung segments, we created a nine-region topographic map, in which every pulmonary area was scanned to assess the presence or the absence of 'gliding sign' (lesion-by-lesion analysis). During operations the surgeon, blinded to the prediction, confirmed or excluded each suspected adhesion or documented other adhesions not previously identified. A total of 1192 predictions were made. Ultrasound predictions were confirmed 1124 times and refuted 68 times. Sensitivity was 80.6% (95% confidence interval, 0.740–0.872) and specificity 96.1% (95% confidence interval, 0.949–0.973). The positive predictive value was 73.2% and the negative predictive value was 97.4%. Transthoracic ultrasound is an effective method for predicting pleural adhesions before thoracic surgery in experienced hands. Its safety, feasibility and low cost make it a useful method for the planning of minimally invasive surgical interventions.
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
迷人世开完成签到,获得积分10
刚刚
大模型应助科研通管家采纳,获得10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
共享精神应助科研通管家采纳,获得10
1秒前
Singularity应助科研通管家采纳,获得20
1秒前
2345应助科研通管家采纳,获得10
1秒前
脑洞疼应助科研通管家采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
arabidopsis应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得10
2秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
orixero应助科研通管家采纳,获得10
2秒前
科研通AI5应助大观天下采纳,获得10
2秒前
龙玄泽应助科研通管家采纳,获得10
2秒前
2秒前
丘比特应助科研通管家采纳,获得10
2秒前
Singularity应助科研通管家采纳,获得10
2秒前
搜集达人应助科研通管家采纳,获得10
2秒前
酷波er应助科研通管家采纳,获得10
2秒前
2秒前
华仔应助科研通管家采纳,获得10
2秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
爆米花应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
聪明白筠完成签到,获得积分10
3秒前
傲娇黄豆完成签到,获得积分10
3秒前
orixero应助李李李李李采纳,获得10
4秒前
_呱_完成签到,获得积分10
5秒前
szc-2000发布了新的文献求助10
7秒前
顾矜应助冷酷保温杯采纳,获得10
8秒前
8秒前
科研通AI5应助幸福大白采纳,获得10
8秒前
Orange应助幸福大白采纳,获得10
9秒前
斯文败类应助幸福大白采纳,获得10
9秒前
科研通AI5应助幸福大白采纳,获得10
9秒前
科研通AI5应助幸福大白采纳,获得10
9秒前
科研通AI5应助幸福大白采纳,获得10
9秒前
科研通AI5应助幸福大白采纳,获得10
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 820
England and the Discovery of America, 1481-1620 600
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3572635
求助须知:如何正确求助?哪些是违规求助? 3142841
关于积分的说明 9449037
捐赠科研通 2844177
什么是DOI,文献DOI怎么找? 1563386
邀请新用户注册赠送积分活动 731723
科研通“疑难数据库(出版商)”最低求助积分说明 718679