Early diagnosis of lung cancer using magnetic nanoparticles-integrated systems

Author:

Rastogi Ayushi1,Yadav Kanchan2,Mishra Archana3,Singh Manu Smriti4,Chaudhary Shilpi5,Manohar Rajiv1,Parmar Avanish Singh26

Affiliation:

1. Department of Physics, University of Lucknow , Lucknow , Uttar Pradesh , India

2. Department of Physics, Indian Institute of Technology (BHU) , Varanasi , Uttar Pradesh , India

3. Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Trombay , Mumbai , India

4. Department of Biotechnology, Center for Nanosensor and Nanomedicine, Bennett University , Greater Noida , Uttar Pradesh , India

5. Department of Applied Sciences, Punjab Engineering College (Deemed to be University) , Chandigarh , India

6. Center for Biomaterial and Tissue Engineering, Indian Institute of Technology (BHU) , Varanasi , Uttar Pradesh , India

Abstract

Abstract Lung cancer (LC) has high morbidity and fatality rate that can be attributed to its poor diagnostic and monitoring facilities. Hence, there is a need to design advanced detection and monitoring systems to facilitate fast, efficient, and early diagnosis. The emerging research on novel nanotechnology-based strategies and conceptual models has made early-stage detection of LC possible by employing magnetic nanoparticles (MNPs) to surmount the barriers of slow diagnostic efficiency. Herein, the emphasis is on the recent advancement of MNP-based detection and monitoring systems for LC diagnosis, and future perspectives in the current scenario are discussed. The integration of MNP-based advanced diagnostic tools (microfluidic chips, artificial intelligence, biosensors, biomarkers detection, machine learning, nanotheranostics, deep learning, and internet of things platform) with conventional ones bronchoscopy, computed tomography scan, positron emission tomography, distant metastases, transthoracic biopsy, and magnetic resonance imaging might help to resolve current challenges related to early diagnosis of LC.

Publisher

Walter de Gruyter GmbH

Subject

Surfaces, Coatings and Films,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomaterials,Medicine (miscellaneous),Biotechnology

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