Literature DB >> 29654638

Diagnosis of oral lichen planus from analysis of saliva samples using terahertz time-domain spectroscopy and chemometrics.

Yury Kistenev1,2, Alexey Borisov3,4, Maria Titarenko4, Olga Baydik4, Alexander Shapovalov3.   

Abstract

The ability to diagnose oral lichen planus (OLP) based on saliva analysis using THz time-domain spectroscopy and chemometrics is discussed. The study involved 30 patients (2 male and 28 female) with OLP. This group consisted of two subgroups with the erosive form of OLP (n  =  15) and with the reticular and papular forms of OLP (n  =  15). The control group consisted of six healthy volunteers (one male and five females) without inflammation in the mucous membrane in the oral cavity and without periodontitis. Principal component analysis was used to reveal informative features in the experimental data. The one-versus-one multiclass classifier using support vector machine binary classifiers was used. The two-stage classification approach using several absorption spectra scans for an individual saliva sample provided 100% accuracy of differential classification between OLP subgroups and control group. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  chemometrics; exfoliative cytology; oral lichen planus; saliva; terahertz time-domain spectroscopy

Mesh:

Year:  2018        PMID: 29654638      PMCID: PMC5897602          DOI: 10.1117/1.JBO.23.4.045001

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  36 in total

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Journal:  J Can Dent Assoc       Date:  2002-11       Impact factor: 1.316

2.  Detection of field change in oral cancer using oral exfoliative cytologic study.

Authors:  G R Ogden; J G Cowpe; M W Green
Journal:  Cancer       Date:  1991-10-01       Impact factor: 6.860

Review 3.  Saliva: a potential media for disease diagnostics and monitoring.

Authors:  Jingyi Liu; Yixiang Duan
Journal:  Oral Oncol       Date:  2012-02-19       Impact factor: 5.337

4.  Improving detection of precancerous and cancerous oral lesions. Computer-assisted analysis of the oral brush biopsy. U.S. Collaborative OralCDx Study Group.

Authors:  J J Sciubba
Journal:  J Am Dent Assoc       Date:  1999-10       Impact factor: 3.634

Review 5.  Management of oral lichen planus.

Authors:  C Scully; D Eisen; M Carrozzo
Journal:  Am J Clin Dermatol       Date:  2000 Sep-Oct       Impact factor: 7.403

Review 6.  The reported prevalence of oral lichen planus: a review and critique.

Authors:  B E McCartan; C M Healy
Journal:  J Oral Pathol Med       Date:  2008-07-09       Impact factor: 4.253

7.  Electrochemical sensor for multiplex biomarkers detection.

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Journal:  Clin Cancer Res       Date:  2009-06-09       Impact factor: 12.531

8.  Cytologic and DNA-cytometric early diagnosis of oral cancer.

Authors:  T W Remmerbach; H Weidenbach; N Pomjanski; K Knops; S Mathes; A Hemprich; A Böcking
Journal:  Anal Cell Pathol       Date:  2001       Impact factor: 2.916

Review 9.  Application of cytology and molecular biology in diagnosing premalignant or malignant oral lesions.

Authors:  Ravi Mehrotra; Anurag Gupta; Mamta Singh; Rahela Ibrahim
Journal:  Mol Cancer       Date:  2006-03-23       Impact factor: 27.401

10.  Diagnostic value of nucleolar organizer regions (AgNORs) in brush biopsies of suspicious lesions of the oral cavity.

Authors:  Torsten W Remmerbach; Horst Weidenbach; Conrad Müller; Alexander Hemprich; Natalja Pomjanski; Birgit Buckstegge; Alfred Böcking
Journal:  Anal Cell Pathol       Date:  2003       Impact factor: 2.916

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  3 in total

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2.  Deep Learning for Type 1 Diabetes Mellitus Diagnosis Using Infrared Quantum Cascade Laser Spectroscopy.

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Review 3.  Types of spectroscopy and microscopy techniques for cancer diagnosis: a review.

Authors:  Sindhoora Kaniyala Melanthota; Yury V Kistenev; Ekaterina Borisova; Deyan Ivanov; Olga Zakharova; Andrey Boyko; Denis Vrazhnov; Dharshini Gopal; Shweta Chakrabarti; Shama Prasada K; Nirmal Mazumder
Journal:  Lasers Med Sci       Date:  2022-07-14       Impact factor: 2.555

  3 in total

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