研究目的
To explore the potential of optical coherence tomography (OCT) as a future-oriented technology in dentistry, particularly for caries diagnosis and restorative therapy assessment.
研究成果
OCT has significant potential as a non-invasive imaging technique for improving caries diagnosis and restoration assessment in dentistry. It allows for early detection of caries and monitoring of adhesive bonds, with high validity and reproducibility. Future developments aim to adapt the technology for routine clinical use.
研究不足
The clinical application requires OCT probes that enable intraoral imaging of all tooth surfaces, which is still under development. Current systems may have limitations in accessibility and real-time imaging in certain dental areas.
1：Experimental Design and Method Selection:
The study utilized OCT for non-invasive imaging of dental structures, employing swept-source OCT technology to generate high-resolution cross-sectional and 3D images. The method involves splitting light into reference and measurement beams, detecting interference signals, and using Fourier transformation for image analysis.
2：Sample Selection and Data Sources:
Studies were conducted on extracted teeth and in vivo on human subjects, with ethical approval and patient consent. Samples included teeth with various conditions such as caries and composite restorations.
3：List of Experimental Equipment and Materials:
OCT system (Telesto SP II, Thorlabs GmbH), light source (swept-source laser or superluminescent diode), flexible measurement head, and dental samples (teeth with caries or restorations).
4：Experimental Procedures and Operational Workflow:
The OCT system was used to scan dental surfaces, generating A-scans and B-scans. Images were analyzed to detect and quantify features like caries lesions and adhesive defects. Procedures included in vitro and in vivo imaging with repeated measurements over time for monitoring.
5：Data Analysis Methods:
Morphometric evaluations of OCT images, quantification of adhesive defect lengths, and comparison with histological and clinical data using statistical methods.
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