已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Non-invasive Breath Analysis of Pulmonary Nodules

医学 肺癌 气体分析呼吸 内科学 胃肠病学 解剖
作者
Nir Peled,Marwan Hakim,Paul A. Bunn,York E. Miller,Timothy C. Kennedy,Jane Mattei,John D. Mitchell,Fred R. Hirsch,Hossam Haick
出处
期刊:Journal of Thoracic Oncology [Elsevier BV]
卷期号:7 (10): 1528-1533 被引量:165
标识
DOI:10.1097/jto.0b013e3182637d5f
摘要

The search for non-invasive diagnostic methods of lung cancer (LC) has led to new avenues of research, including the exploration of the exhaled breath. Previous studies have shown that LC can, in principle, be detected through exhaled-breath analysis. This study evaluated the potential of exhaled-breath analysis for the distinction of benign and malignant pulmonary nodules (PNs).Breath samples were taken from 72 patients with PNs in a prospective trial. Profiles of volatile organic compounds were determined by (1) gas chromatography/mass spectrometry (GC-MS) combined with solid-phase microextraction and (2) a chemical nanoarray.Fifty-three PNs were malignant and 19 were benign with similar smoking histories and comorbidities. Nodule size (mean ± SD) was 2.7 ± 1.7 versus 1.6 ± 1.3 cm (p = 0.004), respectively. Within the malignant group, 47 were non-small-cell lung cancer and six were small-cell lung cancer. Thirty patients had early-stage disease and 23 had advanced disease. Gas chromatography/mass spectrometry analysis identified a significantly higher concentration of 1-octene in the breath of LC, and the nanoarray distinguished significantly between benign versus malignant PNs (p < 0.0001; accuracy 88 ± 3%), between adeno- and squamous-cell carcinomas [LINE SEPARATOR](p < 0.0001; 88 ± 3%) and between early stage and advanced disease (p < 0.0001; 88 ± 2%).In this pilot study, breath analysis discriminated benign from malignant PNs in a high-risk cohort based on LC-related volatile organic compound profiles. Furthermore, it discriminated adeno- and squamous-cell carcinoma and between early versus advanced disease. Further studies are required to validate this noninvasive approach, using a larger cohort of patients with PNs detected by computed tomography.

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
山野完成签到 ,获得积分10
3秒前
实物图发布了新的文献求助10
3秒前
uracil97完成签到,获得积分10
4秒前
辣椒完成签到 ,获得积分10
5秒前
5秒前
纯情的砖家完成签到,获得积分10
6秒前
Yuan完成签到,获得积分10
7秒前
大气靳发布了新的文献求助10
8秒前
9秒前
小二郎应助实物图采纳,获得10
10秒前
乐乐乐乐乐乐完成签到 ,获得积分10
10秒前
奶味蓝完成签到 ,获得积分10
11秒前
SGI发布了新的文献求助10
14秒前
15秒前
河鲸完成签到 ,获得积分10
18秒前
lijun完成签到,获得积分10
19秒前
Sunsets完成签到 ,获得积分10
21秒前
memory完成签到,获得积分10
22秒前
4所得税d发布了新的文献求助10
23秒前
24秒前
柚子完成签到 ,获得积分10
24秒前
小姑不在发布了新的文献求助20
26秒前
28秒前
何佳发布了新的文献求助10
28秒前
dddd完成签到 ,获得积分10
28秒前
30秒前
科研通AI6.1应助SGI采纳,获得10
30秒前
YuchaoJia发布了新的文献求助10
31秒前
曾经山柏完成签到,获得积分10
33秒前
34秒前
34秒前
FashionBoy应助小姑不在采纳,获得10
35秒前
清风徐来发布了新的文献求助10
39秒前
chengmin发布了新的文献求助10
40秒前
无情的问枫完成签到 ,获得积分10
40秒前
sq完成签到,获得积分10
42秒前
45秒前
小二郎应助chengmin采纳,获得10
48秒前
W-博艺发布了新的文献求助10
51秒前
Hello应助NightGlow采纳,获得10
53秒前
高分求助中
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
简明药物化学习题答案 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 6298991
求助须知:如何正确求助?哪些是违规求助? 8116047
关于积分的说明 16990731
捐赠科研通 5360226
什么是DOI,文献DOI怎么找? 2847594
邀请新用户注册赠送积分活动 1825062
关于科研通互助平台的介绍 1679354