ArticleLasers in medical science2019
In vivo detection of oral precancer using a fluorescence-based, in-house-fabricated device: a Mahalanobis distance-based classification.
Article in Lasers in medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Machine learning in point-of-care automated classification of oral potentially malignant and malignant disorders: a systematic review and meta-analysis.Scientific reports · 2022Pooled it
- Detection of Stages of Oral Cavity Lesions Using a Fluorescence Portable Device and Their Classification by Artificial Intelligence Tools.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Integration of the fluorescence based portable device with the AI tools for the real-time monitoring of oral mucosal lesions.Scientific reports · 2025Article
- Detection of oral mucosal lesions by the fluorescence spectroscopy and classification of cancerous stages by support vector machine.Lasers in medical science · 2024Article
- Human Saliva as a Substitute Diagnostic Medium for the Detection of Oral Lesions Using the Stokes Shift Spectroscopy: Discrimination among the Groups by Multivariate Analysis Methods.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- In-vivo Testing of Oral Mucosal Lesions with an In-house Developed Portable Imaging Device and Comparison with Spectroscopy Results.Journal of fluorescence · 2023Article
- Deep-Learning-Based Automated Identification and Visualization of Oral Cancer in Optical Coherence Tomography Images.Biomedicines · 2023Article
- Hippocampus as a sorter and reverberatory integrator of sensory inputs.Nature communications · 2022Article
- Classification of oral salivary gland tumors based on texture features in optical coherence tomography images.Lasers in medical science · 2022Article
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Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vivo detection of oral precancer has been carried out by a fluorescence-based, in-house-developed handheld probe on three groups: oral squamous cell carcinoma (OSCC), dysplastic (precancer), and control (normal). Measurements have been performed on a total of 141 patients and volunteers of different age groups. Excitation wavelength of 405 nm was used and fluorescence emission spectra were recorded in the scan range of 450.14 to 763.41 nm at very low incident power (122 μW) from different oral sites buccal mucosa (BM), lateral boarder of tongue (LBT), and dorsal surface of tongue (DST). Spectral profiles are found to vary among the three groups as well as among the different oral sites. Major and minor bands of flavin adenine dinucleotide (FAD) and porphyrins near 500, 634, 676, 689, and 703 nm have been obtained. Porphyrin contribution is found to be more dominant than the FAD in OSCC and dysplastic groups as compared to the control group. A better classification has been observed using the entire spectral range rather than restricting to individual bands, by application of principal component analysis (PCA), Mahalanobis distance model, and receiver operating characteristic analysis (ROC). ROC on Mahalanobis distance differentiates OSCC to normal, dysplastic to normal, and OSCC to dysplastic with sensitivities from 71% to 98%, 92% to 94% and 81% to 93% and specificities 91% to 100%, 86% to 100% and 79% to 97% for oral sites BM, LBT and DST. LBT and DST appear to be more sensitive to dysplasia detection as compared to BM.
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