ArticleActa dermato-venereologica2021
Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma.
Article in Acta dermato-venereologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Intraoperative Margin Control in Eyelid Tumor Surgery: Current Standards, Imaging Advances, and Emerging Techniques.Current oncology (Toronto, Ont.) · 2026Review
- Diagnostic performances of skin cancers using intensity- and gradient-based features with optical coherence tomography: a pilot study.Translational cancer research · 2026Article
- Cumulative Sum Analysis-Integrated E-Learning for Differentiation Between Basal Cell Carcinoma and Non-Basal Cell Carcinoma on Optical Coherence Tomography: An Observational Cohort Study.International journal of dermatology · 2025Observational
- FDA and EMA-approved noninvasive imaging techniques for basal cell carcinoma subtyping: A systematic review.JAAD international · 2025Review
- ABCD for Optical Coherence Tomography (OCT): An Acronym to Aid OCT Evaluation for Detecting Basal Cell Carcinoma.Acta dermato-venereologica · 2025Article
- 'Pitfalls for differentiating basal cell carcinoma from non-basal cell carcinoma on optical coherence tomography: A clinical series'.The Journal of dermatology · 2024Article
- Utility of optical coherence tomography in basal cell naevus syndrome: A case report.The Australasian journal of dermatology · 2022Article
- Research progress on the application of optical coherence tomography in the field of oncology.Frontiers in oncology · 2022Review
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Authors and funding
4 authors.
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Abstract
Optical coherence tomography (OCT) is a non-invasive diagnostic method. Numerous morphological OCT features have been described for diagnosis of basal cell carcinoma (BCC). The aim of this study is to evaluate the diagnostic value of established OCT features and to explore whether the use of a small set of OCT features enables accurate discrimination between BCC and non-BCC lesions and between BCC subtypes. For each lesion, the presence or absence of specific OCT features was recorded. Histopathology was used as a gold standard. Diagnostic parameters were calculated for each OCT feature, and multivariate logistic regression analyses were performed to evaluate the loss in discriminative ability when using a small subset of OCT features instead of all features that are characteristic for BCC according to the literature. The results show that the use of a limited number of OCT features allows for good discrimination of superficial BCC from non-superficial BCC and non-BCC lesions. The prevalence of BCC was 75.3% (225/299) and the proposed diagnostic algorithm enabled detection of 97.8% of BCC lesions (220/225). Subtyping without the need for biopsy was possible in 132 of 299 patients (44%), with a predictive value for presence of superficial BCC of 84.3% vs 98.8% for presence of non-superficial BCC.
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