Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma

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...

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Autores principales:	Fieke Adan, Klara Mosterd, Nicole W.J. Kelleners-Smeets, Patty J. Nelemans
Formato:	article
Lenguaje:	EN
Publicado:	Society for Publication of Acta Dermato-Venereologica 2021
Materias:	basal cell carcinoma optical coherence tomography diagnostic non-invasive Dermatology RL1-803
Acceso en línea:	https://doaj.org/article/0666f65984144b76ae43030ba6c356e3
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spelling	oai:doaj.org-article:0666f65984144b76ae43030ba6c356e32021-11-30T14:25:08ZDiagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma10.2340/actadv.v101.4210001-55551651-2057https://doaj.org/article/0666f65984144b76ae43030ba6c356e32021-11-01T00:00:00Zhttps://medicaljournalssweden.se/actadv/article/view/421https://doaj.org/toc/0001-5555https://doaj.org/toc/1651-2057Optical 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. Fieke AdanKlara MosterdNicole W.J. Kelleners-SmeetsPatty J. NelemansSociety for Publication of Acta Dermato-Venereologicaarticlebasal cell carcinomaoptical coherence tomographydiagnosticnon-invasiveDermatologyRL1-803ENActa Dermato-Venereologica, Vol 101, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	basal cell carcinoma optical coherence tomography diagnostic non-invasive Dermatology RL1-803
spellingShingle	basal cell carcinoma optical coherence tomography diagnostic non-invasive Dermatology RL1-803 Fieke Adan Klara Mosterd Nicole W.J. Kelleners-Smeets Patty J. Nelemans Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma
description	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.
format	article
author	Fieke Adan Klara Mosterd Nicole W.J. Kelleners-Smeets Patty J. Nelemans
author_facet	Fieke Adan Klara Mosterd Nicole W.J. Kelleners-Smeets Patty J. Nelemans
author_sort	Fieke Adan
title	Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma
title_short	Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma
title_full	Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma
title_fullStr	Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma
title_full_unstemmed	Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma
title_sort	diagnostic value of optical coherence tomography image features for diagnosis of basal cell carcinoma
publisher	Society for Publication of Acta Dermato-Venereologica
publishDate	2021
url	https://doaj.org/article/0666f65984144b76ae43030ba6c356e3
work_keys_str_mv	AT fiekeadan diagnosticvalueofopticalcoherencetomographyimagefeaturesfordiagnosisofbasalcellcarcinoma AT klaramosterd diagnosticvalueofopticalcoherencetomographyimagefeaturesfordiagnosisofbasalcellcarcinoma AT nicolewjkellenerssmeets diagnosticvalueofopticalcoherencetomographyimagefeaturesfordiagnosisofbasalcellcarcinoma AT pattyjnelemans diagnosticvalueofopticalcoherencetomographyimagefeaturesfordiagnosisofbasalcellcarcinoma
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Diagnostic Value of Optical Coherence Tomography Image Features for Diagnosis of Basal Cell Carcinoma

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