Advanced multi-modal diagnostic approaches for detection of lung cancer.

Advanced multi-modal diagnostic approaches for detection of lung cancer. Expert Rev Mol Diagn. 2019 Apr 12;: Authors: Shende P, Augustine S, Prabhakar B, Gaud RS Abstract INTRODUCTION: Lung cancer (LC) emerges as a principle cause of death among smokers and is also one of the most lethal forms of cancer in non-smokers. LC is mainly classified as non-small cell lung cancer (NSCLC), small cell lung cancer and lung carcinoid tumor. NSCLC is the most prevalent form of LC and its early stage diagnosis is essential to reduce mortality rate of patients and provide specific therapy. The field of LC diagnostics witnessed a gradual escalation with advancement in technology. Areas covered: This comprehensive review focuses on classification of LC and advanced diagnostics for LC detection like biosensors, biomarkers, nanotechnology-based diagnostics, wearable devices, mobile health, artificial intelligence, aptamers and molecularly-imprinted polymers (MIPs). Expert commentary: Liquid biopsy and breath analysis developments are the most promising and advanced technologies for the detection of biomarkers associated with LC. Wearable devices and artificial intelligence are two niche areas that require development and standardization for commercialization. The upcoming technology based on nanosystems includes robots, fibers and particles for sensitive detection of LC. In the near future, nanotechnology-based theranostics, aptamers and MIPs will emer...
Source: Expert Review of Molecular Diagnostics - Category: Laboratory Medicine Tags: Expert Rev Mol Diagn Source Type: research