Early Detection of Oral Potentially Malignant Disorders by Using Auto Fluorescence Imaging Non-Invasive System in Industrial Workers – A Prospective Study
Oral cancer is the sixth most common cancer in the world, oral cancer is strongly associated with tobacco habits either in the form of smoking and chewing. Consumption of tobacco either in the form of chewing or smoking was cause oral mucosal changes. Oral cancer may transformation from oral potentially malignant disorders. Morphological alterations among those who consumption tobacco may increases potential for malignant transformation. Autofluorescence imaging (AFI) has emerged as a promising adjunctive tool for the early detection of OPMDs. Prospective study aims to early detection of oral potentially malignant disorders by using Auto fluorescence imaging non-invasive system in Industrial workers. Methods and material: A total of 260 individuals participated in this study. The age distribution was 27.20 ± 5.40 in males whereas 25.32 ± 6.84. 56.76% males were having habits of smoking. The distribution of gender in relation with habits showed statistically significant with p≤0.05. The relationship between habits and oral mucosal lesions 82.91% of chewers showed oral mucosal lesions. In association between smoking and chewing in relation with autofluorescence and oral mucosal changes in chewers 70.10% and in smokers 29.90 % positivity. The association between habits in relation with habits and histopathological diagnosis and follow-up first six months oral mucosal changes showed statistically significant p≤0.05. This study concludes that the autofluorescence imaging emerges as a promising, non-invasive adjunct for early detection of oral potentially malignant disorders, especially in high-risk occupational settings. Broader implementation of autofluorescence imaging within industrial health surveillance frameworks could lead to earlier diagnosis and better clinical outcomes, thereby reducing the burden of oral cancer among vulnerable working populations.
Authors
- R. Praveena
- Vatsalya Kommalapati
- P Chandrashekar
- K. Lalith Prakash Chandra
- Baddam Venkat Ramana Reddy
- Kiran Kumar Kattappagari
- Perupaga Sudheera
Publication Details
- Journal
- International journal of research and scientific innovation
- Published
- 2025-01-01
- DOI
- https://doi.org/10.51244/ijrsi.2025.12050086
- Primary Topic
- Scientific and Engineering Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00