ArticleJournal of personalized medicine2021
Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Diagnostic accuracy of Raman spectroscopy in oral squamous cell carcinoma.Frontiers in oncology · 2022Pooled it
- Establishment of a clinical workflow for in vivo Raman spectroscopy during head and neck cancer surgery.Scientific reports · 2025Article
- Utilizing Raman spectroscopy for urinalysis to diagnose acute kidney injury stages in cardiac surgery patients.Renal failure · 2024Article
- Intraoperative rapid assessment of the deep muscle surgical margin of tongue squamous cell carcinoma via Raman spectroscopy.Frontiers in bioengineering and biotechnology · 2024Article
- Physicochemical understanding of biomineralization by molecular vibrational spectroscopy: From mechanism to nature.Exploration (Beijing, China) · 2023Review
- Stimulated Raman histology for histological evaluation of oral squamous cell carcinoma.Clinical oral investigations · 2023Article
- Identification of Healthy Tissue from Malignant Tissue in Surgical Margin Using Raman Spectroscopy in Oral Cancer Surgeries.Biomedicines · 2023Article
- Raman Spectral Characterization of Urine for Rapid Diagnosis of Acute Kidney Injury.Journal of clinical medicine · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
The aim of this study was to investigate the clinical potential of Raman spectroscopy (RS) in detecting oral squamous cell carcinoma (OSCC) in tumor and healthy tissues in surgical resection specimens during surgery. Raman experiments were performed on cryopreserved specimens from patients with OSCC. Univariate and multivariate analysis was performed based on the fingerprint region (700-1800 cm-1) of the Raman spectra. One hundred thirty-one ex-vivo Raman experiments were performed on 131 surgical resection specimens obtained from 67 patients. The principal component analysis (PCA) and partial least square (PLS) methods with linear discriminant analysis (LDA) were applied on an independent validation dataset. Both models were able to differentiate between the tissue types, but PLS-LDA showed 100% accuracy, sensitivity, and specificity. In this study, Raman measurements of fresh resection tissue specimens demonstrated that OSCC had significantly higher nucleic acid, protein, and several amino acid contents than adjacent healthy tissues. The specific spectral information obtained in this study can be used to develop an in vivo Raman spectroscopic method for the tumor-free resection boundary during surgery.
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Registered trials
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