Suppr超能文献

基于筛查和生物传感器的肺癌检测方法。

Screening and Biosensor-Based Approaches for Lung Cancer Detection.

机构信息

School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei 230009, China.

Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1142, New Zealand.

出版信息

Sensors (Basel). 2017 Oct 23;17(10):2420. doi: 10.3390/s17102420.

Abstract

Early diagnosis of lung cancer helps to reduce the cancer death rate significantly. Over the years, investigators worldwide have extensively investigated many screening modalities for lung cancer detection, including computerized tomography, chest X-ray, positron emission tomography, sputum cytology, magnetic resonance imaging and biopsy. However, these techniques are not suitable for patients with other pathologies. Developing a rapid and sensitive technique for early diagnosis of lung cancer is urgently needed. Biosensor-based techniques have been recently recommended as a rapid and cost-effective tool for early diagnosis of lung tumor markers. This paper reviews the recent development in screening and biosensor-based techniques for early lung cancer detection.

摘要

早期诊断肺癌有助于显著降低癌症死亡率。多年来,世界各地的研究人员广泛研究了许多用于肺癌检测的筛查方法,包括计算机断层扫描、胸部 X 射线、正电子发射断层扫描、痰液细胞学检查、磁共振成像和活检。然而,这些技术并不适用于患有其他病理的患者。因此,迫切需要开发一种用于肺癌早期诊断的快速而敏感的技术。基于生物传感器的技术最近被推荐为用于早期诊断肺癌标志物的快速且具有成本效益的工具。本文综述了用于早期肺癌检测的筛查和基于生物传感器的技术的最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/28420dcca718/sensors-17-02420-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验