Literature DB >> 30119234

Current trends and emerging diagnostic techniques for lung cancer.

Bala Prabhakar1, Pravin Shende2, Steffi Augustine1.   

Abstract

Cancer is one of most fatal forms of disease with rapid, abnormal and uncontrolled division of cells which spreads into different organs in the body. The primary aim of this review is to showcase the current and emerging diagnostic techniques that are used in lung cancer detection. Lung cancer is a leading cause of death among smokers and it has been emerging in non-smokers due to passive smoke inhalation by non-smokers. The mortality rate of patients with lung cancer is very high due to the change in lifestyle and environmental factors. It is often misdiagnosed as tuberculosis in India as tuberculosis is prevalent in India. On the contrary tuberculosis is not prevalent in the western countries Like U.S.A., U.K., Canada, etc. The major setback in lung cancer is that the symptoms of lung cancer occur at very later stages when the tumor has spread profusely. Hence, highly advanced techniques are employed for detection, accurate staging and treatment of lung cancer. The review focuses on the various novel and emerging diagnostic tools like biomarkers and biosensors, radiogenomics and artificial intelligence. This review also gives an insight of the various conventional techniques like CT-imaging, sputum cytology, biopsy and bronchoscopy which have been modified over the years for better sensitivity and accuracy. It also encompasses the regulatory provisions like IDE, CLIA-certification, etc. for manufacturing and sale of diagnostics in India, U.S.A., Japan and Australia.
Copyright © 2018. Published by Elsevier Masson SAS.

Entities:  

Keywords:  Artificial inte; Biomarkers; Biosensors; Lligence; Nanorobots; Quantum dots

Mesh:

Substances:

Year:  2018        PMID: 30119234     DOI: 10.1016/j.biopha.2018.07.145

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  14 in total

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2.  A systematic review and meta-analysis of diagnostic performance and physicians' perceptions of artificial intelligence (AI)-assisted CT diagnostic technology for the classification of pulmonary nodules.

Authors:  Guo Huang; Xuefeng Wei; Huiqin Tang; Fei Bai; Xia Lin; Di Xue
Journal:  J Thorac Dis       Date:  2021-08       Impact factor: 3.005

3.  Support Vector Machine for Lung Adenocarcinoma Staging Through Variant Pathways.

Authors:  Feng Di; Chunxiao He; Guimei Pu; Chunyi Zhang
Journal:  G3 (Bethesda)       Date:  2020-07-07       Impact factor: 3.154

4.  Long non-coding RNA LOC554202 promotes acquired gefitinib resistance in non-small cell lung cancer through upregulating miR-31 expression.

Authors:  Jing He; Shidai Jin; Wei Zhang; Deqin Wu; Jun Li; Jing Xu; Wen Gao
Journal:  J Cancer       Date:  2019-10-15       Impact factor: 4.207

5.  Experimental study of the vascular normalization window for tumors treated with apatinib and the efficacy of sequential chemotherapy with apatinib in lung cancer-bearing mice and patients.

Authors:  Mingtao Liu; Hui Li; Xiuxiu Wang; Lijun Jing; Peng Jiang; Yu Li
Journal:  Cancer Med       Date:  2020-02-19       Impact factor: 4.452

6.  Neutral Desorption Extractive Electrospray Ionization Mass Spectrometry Analysis Sputum for Non-Invasive Lung Adenocarcinoma Detection.

Authors:  Qiaoling Zheng; Jianyong Zhang; Xinchen Wang; Wenxiong Zhang; Yipo Xiao; Sheng Hu; Jianjun Xu
Journal:  Onco Targets Ther       Date:  2021-01-15       Impact factor: 4.147

7.  The combination of computed tomography features and circulating tumor cells increases the surgical prediction of visceral pleural invasion in clinical T1N0M0 lung adenocarcinoma.

Authors:  Jinghan Shi; Fei Li; Fujun Yang; Zhengwei Dong; Yan Jiang; Dania Nachira; Justyna Chalubinska-Fendler; Terence T Sio; Yo Kawaguchi; Hiromitsu Takizawa; Xiao Song; Yang Hu; Liang Duan
Journal:  Transl Lung Cancer Res       Date:  2021-11

8.  A high-performance electrochemical aptasensor based on graphene-decorated rhodium nanoparticles to detect HER2-ECD oncomarker in liquid biopsy.

Authors:  Mahdi Sadeghi; Soheila Kashanian; Seyed Morteza Naghib; Elham Arkan
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.996

9.  An electronic biosensor based on semiconducting tetrazine polymer immobilizing matrix coated on rGO for carcinoembryonic antigen.

Authors:  Sowmya Joshi; K Aswani Raj; M Rajeswara Rao; Ruma Ghosh
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

10.  A Miniature Bio-Photonics Companion Diagnostics Platform for Reliable Cancer Treatment Monitoring in Blood Fluids.

Authors:  Marianneza Chatzipetrou; Lefteris Gounaridis; George Tsekenis; Maria Dimadi; Rachel Vestering-Stenger; Erik F Schreuder; Anke Trilling; Geert Besselink; Luc Scheres; Adriaan van der Meer; Ernst Lindhout; Rene G Heideman; Henk Leeuwis; Siegfried Graf; Tormod Volden; Michael Ningler; Christos Kouloumentas; Claudia Strehle; Vincent Revol; Apostolos Klinakis; Hercules Avramopoulos; Ioanna Zergioti
Journal:  Sensors (Basel)       Date:  2021-03-23       Impact factor: 3.576

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