{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T00:37:32Z","timestamp":1781829452718,"version":"3.54.5"},"reference-count":40,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2015,2,24]],"date-time":"2015-02-24T00:00:00Z","timestamp":1424736000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Acad Dermatol Venereol"],"published-print":{"date-parts":[[2015,9]]},"abstract":"Abstract<\/jats:title>Background<\/jats:title>Preliminary studies have described morphological features of basal cell carcinoma (BCC<\/jats:styled-content>) imaged by high\u2010definition optical coherence tomography (HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content>) and suggested that this technique may aid in its diagnosis and management. However, systematic studies evaluating the accuracy of HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content> for the diagnosis of BCC<\/jats:styled-content> are lacking.<\/jats:p><\/jats:sec>Objective<\/jats:title>The aim of this study was to identify three\u2010dimensional (3\u2010D) HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content> features able i) to distinguish BCC<\/jats:styled-content> from clinical BCC<\/jats:styled-content> imitators and ii) to discriminate between the most common BCC<\/jats:styled-content> subtypes. Based on these particular features, a diagnostic algorithm will be suggested.<\/jats:p><\/jats:sec>Method<\/jats:title>A total of 50 histopathologically confirmed BCC<\/jats:styled-content>s (18 superficial, 19 nodular, 13 infiltrative) were imaged by HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content> at the centre of the lesion prior to standard surgical excision and subsequent histopathological analysis. Fifty images of clinical BCC<\/jats:styled-content> imitators were also retrieved as a \u2018pitfalls\u2019 group.<\/jats:p><\/jats:sec>Results<\/jats:title>The simultaneous presence of grey\/dark subepidermal (hemi\u2010spherical) or intradermal lobulated structure(s) presenting a typical cockade feature in both HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content> modes was a significant feature for BCC<\/jats:styled-content> diagnosis. Features discriminating between BCC<\/jats:styled-content> subtypes were location of the roof of BCC<\/jats:styled-content> lobules, vascular pattern of the papillary plexus and stretching effect on the stroma. Clinical BCC<\/jats:styled-content> imitators such as actinic keratosis, compound and intradermal naevi, amelanotic melanoma, sebaceous hyperplasia and small haemangioma could be differentiated from BCC<\/jats:styled-content> by means of HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content>.<\/jats:p><\/jats:sec>Conclusion<\/jats:title>This study provides a thorough description of 3\u2010D HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content> features that can permit discrimination of BCC<\/jats:styled-content> from clinical BCC<\/jats:styled-content> imitators and differentiation of BCC<\/jats:styled-content> subtypes. Based on these features, a diagnostic algorithm is proposed which requires additional validation, but enhances current understanding of the morphological correlates of HD<\/jats:styled-content>\u2010OCT<\/jats:styled-content> images in skin.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jdv.13003","type":"journal-article","created":{"date-parts":[[2015,2,25]],"date-time":"2015-02-25T04:25:16Z","timestamp":1424838316000},"page":"1771-1780","source":"Crossref","is-referenced-by-count":50,"title":["High\u2010definition optical coherence tomography algorithm for discrimination of basal cell carcinoma from clinical BCC<\/scp> imitators and differentiation between common subtypes"],"prefix":"10.1111","volume":"29","author":[{"given":"M.A.L.M.","family":"Boone","sequence":"first","affiliation":[{"name":"Department of Dermatology Universit\u00e9 Libre de Bruxelles H\u00f4pital Erasme Brussels 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