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Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma

BACKGROUND: Reflectance confocal microscopy (RCM) imaging can be used to diagnose and subtype basal cell carcinoma (BCC) but relies on individual morphologic pattern recognition that might vary among users. OBJECTIVES: We assessed the inter‐rater and intrarater agreement of RCM in correctly diagnosi...

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Autores principales: Kadouch, D.J., van Haersma de With, A.S.E., Elshot, Y.S., Peppelman, M., Bekkenk, M.W., Wolkerstorfer, A., Eekhout, I., Prinsen, C.A.C., de Rie, M.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099290/
https://www.ncbi.nlm.nih.gov/pubmed/29265550
http://dx.doi.org/10.1111/jdv.14771
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author Kadouch, D.J.
van Haersma de With, A.S.E.
Elshot, Y.S.
Peppelman, M.
Bekkenk, M.W.
Wolkerstorfer, A.
Eekhout, I.
Prinsen, C.A.C.
de Rie, M.A.
author_facet Kadouch, D.J.
van Haersma de With, A.S.E.
Elshot, Y.S.
Peppelman, M.
Bekkenk, M.W.
Wolkerstorfer, A.
Eekhout, I.
Prinsen, C.A.C.
de Rie, M.A.
author_sort Kadouch, D.J.
collection PubMed
description BACKGROUND: Reflectance confocal microscopy (RCM) imaging can be used to diagnose and subtype basal cell carcinoma (BCC) but relies on individual morphologic pattern recognition that might vary among users. OBJECTIVES: We assessed the inter‐rater and intrarater agreement of RCM in correctly diagnosing and subtyping BCC. METHODS: In this prospective study, we evaluated the inter‐rater and intrarater agreement of RCM on BCC presence and subtype among three raters with varying experience who independently assessed static images of 48 RCM cases twice with four‐week interval (T1 and T2). Histopathologic confirmation of presence and subtype of BCC from surgical excision specimen was defined as the reference standard. RESULTS: The inter‐rater agreement of RCM for BCC presence showed an agreement of 82% at T1 and 84% at T2. The agreements for subtyping BCC were lower (52% for T1 and 47% for T2). The intrarater agreement of RCM for BCC presence showed an observed agreement that varied from 79% to 92%. The observed agreements for subtyping varied from 56% to 71%. CONCLUSIONS: In conclusion, our results show that RCM is reliable in correctly diagnosing BCC based on the assessment of static RCM images. RCM could potentially play an important role in BCC management if accurate subtyping will be achieved. Therefore, future clinical studies on reliability and specific RCM features for BCC subtypes are required.
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spelling pubmed-60992902018-08-23 Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma Kadouch, D.J. van Haersma de With, A.S.E. Elshot, Y.S. Peppelman, M. Bekkenk, M.W. Wolkerstorfer, A. Eekhout, I. Prinsen, C.A.C. de Rie, M.A. J Eur Acad Dermatol Venereol Original Articles and Short Reports Oncology BACKGROUND: Reflectance confocal microscopy (RCM) imaging can be used to diagnose and subtype basal cell carcinoma (BCC) but relies on individual morphologic pattern recognition that might vary among users. OBJECTIVES: We assessed the inter‐rater and intrarater agreement of RCM in correctly diagnosing and subtyping BCC. METHODS: In this prospective study, we evaluated the inter‐rater and intrarater agreement of RCM on BCC presence and subtype among three raters with varying experience who independently assessed static images of 48 RCM cases twice with four‐week interval (T1 and T2). Histopathologic confirmation of presence and subtype of BCC from surgical excision specimen was defined as the reference standard. RESULTS: The inter‐rater agreement of RCM for BCC presence showed an agreement of 82% at T1 and 84% at T2. The agreements for subtyping BCC were lower (52% for T1 and 47% for T2). The intrarater agreement of RCM for BCC presence showed an observed agreement that varied from 79% to 92%. The observed agreements for subtyping varied from 56% to 71%. CONCLUSIONS: In conclusion, our results show that RCM is reliable in correctly diagnosing BCC based on the assessment of static RCM images. RCM could potentially play an important role in BCC management if accurate subtyping will be achieved. Therefore, future clinical studies on reliability and specific RCM features for BCC subtypes are required. John Wiley and Sons Inc. 2018-01-23 2018-08 /pmc/articles/PMC6099290/ /pubmed/29265550 http://dx.doi.org/10.1111/jdv.14771 Text en © 2017 The Authors. Journal of the European Academy of Dermatology and Venereology published by John Wiley & Sons Ltd on behalf of European Academy of Dermatology and Venereology. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles and Short Reports Oncology
Kadouch, D.J.
van Haersma de With, A.S.E.
Elshot, Y.S.
Peppelman, M.
Bekkenk, M.W.
Wolkerstorfer, A.
Eekhout, I.
Prinsen, C.A.C.
de Rie, M.A.
Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma
title Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma
title_full Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma
title_fullStr Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma
title_full_unstemmed Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma
title_short Interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma
title_sort interrater and intrarater agreement of confocal microscopy imaging in diagnosing and subtyping basal cell carcinoma
topic Original Articles and Short Reports Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099290/
https://www.ncbi.nlm.nih.gov/pubmed/29265550
http://dx.doi.org/10.1111/jdv.14771
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