ArticleCancers2021
The Potential of Raman Spectroscopy in the Diagnosis of Dysplastic and Malignant Oral Lesions.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- The Influence of Formaldehyde Fixation Media on the Raman Spectroscopic Analysis of Oral Squamous Cell Carcinoma.Journal of biophotonics · 2026Article
- The impact of histology and molecular biology in refining the prognostic value of surgical margins in head and neck oncology - A narrative review.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2025Article
- GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment.International journal of oral science · 2025Article
- Competing endogenous RNAs network dysregulation in oral cancer: a multifaceted perspective on crosstalk and competition.Cancer cell international · 2024Review
- Advances in Raman spectroscopy for characterising oral cancer and oral potentially malignant disorders.Expert reviews in molecular medicine · 2024Review
- An optical photothermal infrared investigation of lymph nodal metastases of oral squamous cell carcinoma.Scientific reports · 2024Article
- Intraoperative rapid assessment of the deep muscle surgical margin of tongue squamous cell carcinoma via Raman spectroscopy.Frontiers in bioengineering and biotechnology · 2024Article
- Early Detection of Pre-Cancerous and Cancerous Cells Using Raman Spectroscopy-Based Machine Learning.Cells · 2023Article
- Molecular Fingerprint Detection Using Raman and Infrared Spectroscopy Technologies for Cancer Detection: A Progress Review.Biosensors · 2023Review
- Raman spectroscopy for viral diagnostics.Biophysical reviews · 2023Review
- Label-Free Optical Spectroscopy for Early Detection of Oral Cancer.Diagnostics (Basel, Switzerland) · 2022Review
- Accurate Tumor Subtype Detection with Raman Spectroscopy via Variational Autoencoder and Machine Learning.ACS omega · 2022Article
- A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance.Cancers · 2021Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Early diagnosis, treatment and/or surveillance of oral premalignant lesions are important in preventing progression to oral squamous cell carcinoma (OSCC). The current gold standard is through histopathological diagnosis, which is limited by inter- and intra-observer errors and sampling errors. The objective of this work was to use Raman spectroscopy to discriminate between benign, mild, moderate and severe dysplasia and OSCC in formalin fixed paraffin preserved (FFPP) tissues. The study included 72 different pathologies from which 17 were benign lesions, 20 mildly dysplastic, 20 moderately dysplastic, 10 severely dysplastic and 5 invasive OSCC. The glass substrate and paraffin wax background were digitally removed and PLSDA with LOPO cross-validation was used to differentiate the pathologies. OSCC could be differentiated from the other pathologies with an accuracy of 70%, while the accuracy of the classifier for benign, moderate and severe dysplasia was ~60%. The accuracy of the classifier was lowest for mild dysplasia (~46%). The main discriminating features were increased nucleic acid contributions and decreased protein and lipid contributions in the epithelium and decreased collagen contributions in the connective tissue. Smoking and the presence of inflammation were found to significantly influence the Raman classification with respective accuracies of 76% and 94%.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.