Line-field confocal optical coherence tomography of basal cell carcinoma: A retrospective study on diagnostic performance.

Autor: Mtimet L; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Boussingault L; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Aktas D; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Fontaine M; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Orte Cano C; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Diet G; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Lenoir C; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Miyamoto M; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium., Cinotti E; Dermatology Unit, Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.; Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie, Paris, France., Tognetti L; Dermatology Unit, Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy., Cartocci A; Dermatology Unit, Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy., Rubegni P; Dermatology Unit, Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy., Puig S; Melanoma Unit, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.; CIBER de Enfermedades Raras, Instituto de Salud Carlos III, Barcelona, Spain., Malvehy J; Melanoma Unit, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.; CIBER de Enfermedades Raras, Instituto de Salud Carlos III, Barcelona, Spain., Perez-Anker J; Melanoma Unit, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.; CIBER de Enfermedades Raras, Instituto de Salud Carlos III, Barcelona, Spain., Perrot JL; Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie, Paris, France.; Department of Dermatology, University Hospital of Saint-Etienne, Saint-Etienne, France., Del Marmol V; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium.; Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie, Paris, France., Suppa M; Department of Dermatology, Hôpital Erasme, HUB, Université Libre de Bruxelles, Brussels, Belgium.; Groupe d'Imagerie Cutanée Non Invasive (GICNI) of the Société Française de Dermatologie, Paris, France.; Department of Dermatology, Institut Jules Bordet, HUB, Université Libre de Bruxelles, Brussels, Belgium.
Jazyk: angličtina
Zdroj: Journal of the European Academy of Dermatology and Venereology : JEADV [J Eur Acad Dermatol Venereol] 2024 Dec 02. Date of Electronic Publication: 2024 Dec 02.
DOI: 10.1111/jdv.20459
Abstrakt: Introduction: Line-field confocal optical coherence tomography (LC-OCT) represents one of the newest non-invasive in vivo skin imaging techniques. Previous studies described morphologic criteria of basal cell carcinoma (BCC) under LC-OCT examination. Preliminary data on LC-OCT diagnostic performance for BCC have recently been published but showed only a modest improvement compared to dermoscopy, possibly due to study limitations.
Objectives: The main objective of this study was to find diagnostic performance parameters of LC-OCT for differentiating BCC from its clinical/dermoscopic mimickers and for discriminating among BCC subtypes. An additional objective was to suggest a simple, user-friendly diagnostic algorithm based on the most powerful LC-OCT features in the field of BCC and its imitators.
Materials and Methods: Equivocal BCC lesions imaged with an LC-OCT device prior to biopsy/excision were included. Three observers blinded for histopathological diagnosis retrospectively formulated clinical, dermoscopic and LC-OCT diagnoses and evaluated LC-OCT features for each study lesion.
Results: A total of 303 lesions (173 BCCs and 130 non-BCCs) from 225 patients were included. For the differentiation of BCC from BCC imitators, the use of LC-OCT increased the diagnostic accuracy compared to clinical examination by 24% and compared to dermoscopy by 12%. For the discrimination of sBCC from other BCC subtypes, LC-OCT increased the diagnostic accuracy compared to clinical examination by 18% and compared to dermoscopy by 12%. The presence of lobule with millefeuille pattern was a significant feature for BCC diagnosis. Lobule shape and location allowed BCC subtype discrimination.
Conclusions: The accuracy of BCC diagnosis can be increased by at least 12% with the use of LC-OCT compared to clinical and dermoscopic examinations alone, both in terms of BCC differentiation from clinical/dermoscopic imitators and in terms of BCC-subtype discrimination. A diagnostic algorithm based on significant features for BCC diagnosis is proposed, for which further validation is required.
(© 2024 European Academy of Dermatology and Venereology.)
Databáze: MEDLINE
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