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Application of Targeted Optical Coherence Tomography in Oral Cancer: A Cross-Sectional Preliminary Study
Vera Panzarella1,2, Fortunato Buttacavoli1,3, Vito Rodolico4
1Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, 90127 Palermo, Italy.
Targeted optical coherence tomography (OCT) scans significantly improve the diagnosis of oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC). This site-specific OCT approach enhances diagnostic accuracy, paving the way for automated oral cancer detection.
Area of Science:
- Oral Medicine and Pathology
- Biomedical Imaging
- Diagnostic Accuracy
Background:
- Diagnosing oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) is challenging.
- Optical coherence tomography (OCT) shows potential for oral tissue analysis but lacks standardized protocols for mucosal lesions.
Purpose of the Study:
- To evaluate the diagnostic accuracy of targeted biopsy-based and site-coded OCT protocols for OPMDs and OSCC.
- To compare OCT diagnostic accuracy before and after site registration with histological findings.
Main Methods:
- A cross-sectional observational study enrolled adult patients with clinically diagnosed OPMDs (OL, OLP) and OSCC.
- OCT evaluation and punch scalpel-site registration were performed before diagnostic biopsy.
- Blinded observers analyzed OCT scans; sensitivity, specificity, and accuracy were compared to histology.
Main Results:
- High sensitivity and specificity were achieved post-site registration for OSCC, OL, and OLP.
- Positive and negative predictive values were consistently high, ranging from 97.14% to 100.00%.
- Targeted OCT scans significantly improved diagnostic accuracy (p < 0.001) with strong inter-observer agreement for OSCC.
Conclusions:
- Site-targeted OCT scans combined with targeted punch biopsy enhance precision in diagnosing oral conditions.
- This approach provides a foundation for developing automated algorithms for oral cancer and pre-cancer diagnosis using OCT imaging.
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