Risk prediction for oral potentially malignant disorders using fuzzy analysis of cytomorphological and autofluorescence alterations in habitual smokers

Author:

Sarkar Ripon1,Dey Susmita1,Pal Mousumi2,Paul Ranjan Rashmi2,Chatterjee Jyotirmoy3,RoyChaudhuri Chirasree4,Barui Ananya1

Affiliation:

1. Centre for Healthcare Science & Technology, Indian Institute of Engineering Science and Technology Shibpur, Howrah-711103, India

2. Department of Oral Medicine & Oral Radiology, Guru Nanak Institute of Dental Science and Research, 157/F Nilgunj Road, Panihati, Kolkata-700114, West Bengal, India

3. School of Medical Science & Technology, Indian Institute of Technology Kharagpur, Kharagpur-721302, West Bengal, India

4. Department of Electronics and Telecommunication Engineering, Indian Institute of Engineering Science & Technology Shibpur, Howrah-711103, India

Abstract

Aim: This study aims to develop a novel noninvasive method for early cancer trend diagnosis in habitual smokers by corroborating cytomorphological and autofluorescence alterations. Materials & methods: A total of 120 subjects were included and categorized into nonsmoker, smoker and clinically diagnosed oral potentially malignant disorder (OPMD) patients. Oral exfoliative epithelial cells were studied through differential interference contrast and fluorescence microscopy. Fuzzy trend analysis was performed using measured parameters for determining the risk factors among smokers. Results: The risk assessment in this study showed a positive correlation of smoking duration with early cancer risk factors with a correlation co-efficient of 0.86. Conclusion: Alterations in cellular morphology and autofluorescence intensities showed positive correlation with OPMD. The present study will benefit to investigate early prediction of OPMD among susceptible individuals.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Oncology,General Medicine

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