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Updated: Jan 19, 2026

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
Published on: August 18, 2022
Structural validation of facial skin using optical coherence tomography: A descriptive study.
Waseem Jerjes1,2, Zaid Hamdoon3,4, Colin Hopper1,4
1University College London Medical School, London, UK.
Optical coherence tomography (OCT) successfully identified facial skin structures and pathologies compared to histopathology. Further in vivo studies are recommended to confirm its clinical utility for skin cancer diagnosis.
Area of Science:
- Dermatology
- Medical Imaging
- Pathology
Background:
- Facial skin structure identification is crucial for diagnosing various pathologies.
- Optical coherence tomography (OCT) offers a non-invasive imaging modality.
- Histopathology remains the gold standard for skin lesion diagnosis.
Purpose of the Study:
- To evaluate the efficacy of OCT in differentiating normal and pathological facial skin structures.
- To compare OCT findings with histopathology results for diagnostic accuracy.
- To assess OCT's potential as a diagnostic tool for facial skin lesions.
Main Methods:
- An ex vivo study involving 53 patients with 57 suspicious facial lesions.
- Comparison of OCT imaging with gold standard histopathology.
- Utilized a checklist of key pathological features for both modalities.
Main Results:
- OCT demonstrated high accuracy in diagnosing Basal Cell Carcinoma (BCC) at 97% and Cutaneous Squamous Cell Carcinoma (SCC) at 85%.
- Accuracy for Actinic Keratosis (AK) was 83%, and for Malignant Melanoma was 81%.
- OCT showed lower accuracy (33.3%) for Lentigo Maligna (LM) based on specific checklist parameters.
Conclusions:
- OCT is effective in identifying structural changes in normal and pathological facial skin ex vivo.
- Further in vivo investigations are recommended to establish OCT's clinical applicability.
- OCT shows promise for non-invasive skin lesion assessment, with varying accuracy for different pathologies.
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