ArticleScientific reports2016
Automatic and objective oral cancer diagnosis by Raman spectroscopic detection of keratin with multivariate curve resolution analysis.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Posthandling Spectral Information Enhancement for Single Cell Raman Molecular Mapping Analysis.Analytical chemistry · 2025Article
- Demixing and Analysis of Complex Biological Raman Hyperspectra Based on Peak Fitting, Amplitude Trend Clustering, and Spectrum Reconstruction.Applied spectroscopy · 2025Article
- Advances in Raman spectroscopy for characterising oral cancer and oral potentially malignant disorders.Expert reviews in molecular medicine · 2024Review
- Identification of Healthy Tissue from Malignant Tissue in Surgical Margin Using Raman Spectroscopy in Oral Cancer Surgeries.Biomedicines · 2023Article
- A New Detection Method of Oral and Oropharyngeal Squamous Cell Carcinoma Based on Multivariate Analysis of Surface Enhanced Raman Spectra of Salivary Exosomes.Journal of personalized medicine · 2023Article
- Direct imaging of intracellular RNA, DNA, and liquid-liquid phase separated membraneless organelles with Raman microspectroscopy.Communications biology · 2022Article
- Multivariate Curve Resolution Alternating Least Squares Analysis of In Vivo Skin Raman Spectra.Sensors (Basel, Switzerland) · 2022Article
- Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases.Frontiers in cellular and infection microbiology · 2022Review
- Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy.Scientific reports · 2021Article
- Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy.Journal of personalized medicine · 2021Article
- Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.Scientific reports · 2021Article
- Optical diagnosis of oral cavity lesions by label-free Raman spectroscopy.Biomedical optics express · 2021Article
- Novel Quantitative Analysis Using Optical Imaging (VELscope) and Spectroscopy (Raman) Techniques for Oral Cancer Detection.Cancers · 2020Article
- Molecular profiling of lipid droplets inside HuH7 cells with Raman micro-spectroscopy.Communications biology · 2020Article
- Parallelized shifted-excitation Raman difference spectroscopy for fluorescence rejection in a temporary varying system.Journal of biophotonics · 2019Article
- Raman Spectroscopy for Rapid Evaluation of Surgical Margins during Breast Cancer Lumpectomy.Scientific reports · 2019Article
- Raman Spectroscopy Analysis for Optical Diagnosis of Oral Cancer Detection.Journal of clinical medicine · 2019Article
- Raman spectral post-processing for oral tissue discrimination - a step for an automatized diagnostic system.Biomedical optics express · 2017Article
- Comparison of multivariate analysis methods for extracting the paraffin component from the paraffin-embedded cancer tissue spectra for Raman imaging.Scientific reports · 2017Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have developed an automatic and objective method for detecting human oral squamous cell carcinoma (OSCC) tissues with Raman microspectroscopy. We measure 196 independent Raman spectra from 196 different points of one oral tissue sample and globally analyze these spectra using a Multivariate Curve Resolution (MCR) analysis. Discrimination of OSCC tissues is automatically and objectively made by spectral matching comparison of the MCR decomposed Raman spectra and the standard Raman spectrum of keratin, a well-established molecular marker of OSCC. We use a total of 24 tissue samples, 10 OSCC and 10 normal tissues from the same 10 patients, 3 OSCC and 1 normal tissues from different patients. Following the newly developed protocol presented here, we have been able to detect OSCC tissues with 77 to 92% sensitivity (depending on how to define positivity) and 100% specificity. The present approach lends itself to a reliable clinical diagnosis of OSCC substantiated by the "molecular fingerprint" of keratin.
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