Next Article in Journal
Optical Methods in Fingerprint Imaging for Medical and Personality Applications
Next Article in Special Issue
Noise Maps for Quantitative and Clinical Severity Towards Long-Term ECG Monitoring
Previous Article in Journal
Stable and Fast-Response Capacitive Humidity Sensors Based on a ZnO Nanopowder/PVP-RGO Multilayer
Previous Article in Special Issue
Recent Advances in Nanoparticle Concentration and Their Application in Viral Detection Using Integrated Sensors
Correction published on 11 October 2019, see Sensors 2019, 19(20), 4393.
Open AccessReview

Screening and Biosensor-Based Approaches for Lung Cancer Detection

1
School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei 230009, China
2
Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1142, New Zealand
Sensors 2017, 17(10), 2420; https://doi.org/10.3390/s17102420
Received: 26 September 2017 / Revised: 17 October 2017 / Accepted: 18 October 2017 / Published: 23 October 2017
(This article belongs to the Special Issue Sensors for Health Monitoring and Disease Diagnosis)
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. View Full-Text
Keywords: medical imaging; magnetic induction tomography; lung cancer; biomarker; biosensor medical imaging; magnetic induction tomography; lung cancer; biomarker; biosensor
Show Figures

Figure 1

MDPI and ACS Style

Wang, L. Screening and Biosensor-Based Approaches for Lung Cancer Detection. Sensors 2017, 17, 2420.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop