ArticleBiomedical optics express2014
Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma.
Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Diagnostic accuracy of Raman spectroscopy in oral squamous cell carcinoma.Frontiers in oncology · 2022Pooled it
- The Influence of Formaldehyde Fixation Media on the Raman Spectroscopic Analysis of Oral Squamous Cell Carcinoma.Journal of biophotonics · 2026Article
- Visualizing Cytoskeletal Protein Reconstruction of Vulvar Cancer with Surface-Enhanced Raman Spectroscopy and Gold Nanoparticles.ACS omega · 2026Article
- Establishment of a clinical workflow for in vivo Raman spectroscopy during head and neck cancer surgery.Scientific reports · 2025Article
- Advances in Raman spectroscopy for characterising oral cancer and oral potentially malignant disorders.Expert reviews in molecular medicine · 2024Review
- The Diagnostic Potential of Non-Invasive Tools for Oral Cancer and Precancer: A Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- Raman difference spectroscopy and U-Net convolutional neural network for molecular analysis of cutaneous neurofibroma.PloS one · 2024Article
- Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy.Cancers · 2023Review
- Optical diagnosis of oral cavity lesions by label-free Raman spectroscopy.Biomedical optics express · 2021Article
- Towards shifted position-diffuse reflectance imaging of anatomically correctly scaled human microvasculature.Scientific reports · 2020Article
- Analysis and classification of kidney stones based on Raman spectroscopy.Biomedical optics express · 2018Article
- Breast Tumor Analysis Using Shifted-Excitation Raman Difference Spectroscopy (SERDS).Technology in cancer research & treatment · 2018Article
- Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.Scientific reports · 2017Article
- Omics-based molecular techniques in oral pathology centred cancer: prospect and challenges in Africa.Cancer cell international · 2017Review
- Real-timeTheranostics · 2017Article
- Pseudo-HE images derived from CARS/TPEF/SHG multimodal imaging in combination with Raman-spectroscopy as a pathological screening tool.BMC cancer · 2016Article
- Erratum: Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma: publisher's note.Biomedical optics express · 2015Article
- Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images.Biomedical optics express · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The feasibility of shifted-excitation Raman difference spectroscopy (SERDS) as a label-free and non-invasive technique for an objective diagnosis of oral cancer (OSCC) was investigated by analyzing 12 ex vivo OSCC samples. 72 mean SERDS spectra from each three physiological tissue points and pathological lesions were correlated with the histo-pathological diagnosis. Principal component analysis (PCA) and linear discriminant analysis (LDA) showed excellent results with an area under the curve of 94.5% and a classification error of 9.7% (sensitivity: 86.1%; specificity: 94.4%). The SERDS Raman spectra of malignant and benignant tissues were discriminable with respect to the spectral features of proteins, lipids and nucleic acids. The presented method is capable of a highly accurate identification of OSCC. These findings suggest a high validity and reproducibility of SERDS combined with PCA and LDA analysis regarding oral cancer tissue.
Indexed as
Identifiers
What OpenQuestion holds
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.