AI-aided Optical Coherence Tomography for the Detection of Basal Cell Carcinoma
NCT05817279 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 124
Last updated 2024-02-16
Summary
Basal cell carcinoma (BCC) is the most common form of cancer among the Caucasian population. A BCC diagnosis is commonly establish by means of an invasive punch biopsy (golden standard). Optical coherence tomography (OCT) is a safe non-invasive diagnostic modality which may replace biopsy if an OCT assessor is able to establish a high confidence BCC diagnosis. Hence, for clinical implementation of OCT, diagnostic certainty should be as high as possible. Artificial intelligence in the form of a clinical decision support system (CDSS) may improve the diagnostic certainty of newly trained OCT assessors by highlighting suspicious areas on OCT scans and by providing diagnostic suggestions (classification). This study will evaluate the effect of a CDSS on the diagnostic certainty and accuracy of OCT assessors.
Conditions
- Basal Cell Carcinoma
- Optical Coherence Tomography
Interventions
- DIAGNOSTIC_TEST
-
Optical coherence tomography
Optical coherence tomography: OCT is a non-invasive CE-certified diagnostic modality based on light interferometry. An OCT scan visualizes an area with a diameter of 6mm thereby revealing the skin and adnexal structures with a depth of approximately 1.5mm. 3mm punch biopsy: the patients included in this study underwent a 3mm punch biopsy conform regular care. The subsequent histopathological examination of the biopsy specimen serves as ground truth diagnosis of the lesions (gold standard)
Sponsors & Collaborators
-
Maastricht University Medical Center
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-04-10
- Primary Completion
- 2024-12-31
- Completion
- 2024-12-31
Countries
- Netherlands
Study Locations
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