ArticleLasers in medical science2020
Identification of oral cancer in OCT images based on an optical attenuation model.
Article in Lasers in medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions.Sensors (Basel, Switzerland) · 2023Pooled it
- Potential use of optical coherence tomography in oral potentially malignant disorders: in-vivo case series study.BMC oral health · 2023Trial
- Identification and quantification of oral lymphatic vessel networks using optical coherence tomography (OCT).Biomedical optics express · 2026Article
- A joint learning approach for automated diagnosis of keratinocyte carcinoma using optical attenuation coefficients.NPJ digital medicine · 2025Article
- Application of Targeted Optical Coherence Tomography in Oral Cancer: A Cross-Sectional Preliminary Study.Diagnostics (Basel, Switzerland) · 2024Article
- Enhancing Oral Cancer Detection: A Systematic Review of the Diagnostic Accuracy and Future Integration of Optical Coherence Tomography with Artificial Intelligence.Journal of clinical medicine · 2024Review
- Imaging Biomarkers of Oral Dysplasia and Carcinoma Measured with In Vivo Endoscopic Optical Coherence Tomography.Cancers · 2024Article
- Review
- Deep-Learning-Based Automated Identification and Visualization of Oral Cancer in Optical Coherence Tomography Images.Biomedicines · 2023Article
- Current advances in noninvasive methods for the diagnosis of oral squamous cell carcinoma: a review.European journal of medical research · 2023Review
- Noninvasive oral cancer screening based on local residual adaptation network using optical coherence tomography.Medical & biological engineering & computing · 2022Article
- Classification of oral salivary gland tumors based on texture features in optical coherence tomography images.Lasers in medical science · 2022Article
- Multimodal imaging with integrated auto-fluorescence and optical coherence tomography for identification of neck tissues.Lasers in medical science · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Surgery is still the first choice to treat oral cancer, where it is important to detect surgical margins in order to reduce cancer recurrence and maintain oral-maxillofacial function simultaneously. As a non-invasive and in situ imaging technique, optical coherence tomography (OCT) can obtain images close to the resolution of histopathology, which makes it have great potential in intraoperative diagnosis. However, it is not enough to find surgical margins accurately just observing OCT images directly and qualitatively. The purpose of this study is to identify oral cancer in OCT images by investigating the quantitative difference of cancer and non-cancer tissue. Based on an available optical attenuation model and the axial confocal PSF of a home-made swept source OCT system, by using fresh ex vivo human oral tissues from 14 patients of oral squamous cell carcinoma (OSCC) as the samples, diagnosis with sensitivity (97.88%) and specificity (83.77%) was achieved at the attenuation threshold of 4.7 mm
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Registered trials
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