Variability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma

Introduction. The differential diagnosis of lesions excised to exclude melanoma include a variety of benign and malignant melanocytic and non-melanocytic lesions. Objectives. We examined the variability between pathologists in diagnosing non-melanocytic lesions. Methods.  As part of a larger...

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Autores principales: Ian Katz, Tony Azzi, Alister Lilleyman, Blake O'Brien, Brian Schapiro, Curtis Thompson, Tarl Prow
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Lenguaje:EN
Publicado: Mattioli1885 2021
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spelling oai:doaj.org-article:27845115fa58473cbd793fff0bc27c692021-11-15T15:16:17ZVariability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma10.5826/dpc.1104a942160-9381https://doaj.org/article/27845115fa58473cbd793fff0bc27c692021-10-01T00:00:00Zhttps://dpcj.org/index.php/dpc/article/view/1615https://doaj.org/toc/2160-9381 Introduction. The differential diagnosis of lesions excised to exclude melanoma include a variety of benign and malignant melanocytic and non-melanocytic lesions. Objectives. We examined the variability between pathologists in diagnosing non-melanocytic lesions. Methods.  As part of a larger study prospectively examining the diagnosis of lesions excised to exclude melanoma in 198 patients at a primary care skin cancer clinic in Newcastle, Australia, we compared diagnosis made by 5 experienced dermatopathologists, of 44 non-melanocytic lesions in 44 patients aged 22-90. Results. Forty-four lesions (out of 217 in total) were non-melanocytic. Among the 5 pathologists who examined each case there was marked variability in the terminology used to diagnose each case. The most common variability was found between seborrheic keratosis, large cell acanthoma, solar lentigo, and lichenoid keratosis. The diagnosis made by the majority of the pathologists was deemed to be the reference diagnosis.  Versus majority diagnosis, 4% of benign lesions were considered malignant, and 7% of malignant diagnoses were considered as benign. Conclusions. The different terminology adopted and lack of consensus in the diagnosis of these non-melanocytic lesions in this setting suggests that training AI systems using gold standards may be problematic.  We propose a new management classification scheme called MOLEM (Management of Lesions Excised to exclude Melanoma) which expands the previously described MPATH-dx to include non-melanocytic lesions. Ian KatzTony AzziAlister LilleymanBlake O'BrienBrian SchapiroCurtis ThompsonTarl ProwMattioli1885articlemelanomaseborrheic keratosisartificial intelligenceAIlarge cell acanthomadiagnosisDermatologyRL1-803ENDermatology Practical & Conceptual (2021)
institution DOAJ
collection DOAJ
language EN
topic melanoma
seborrheic keratosis
artificial intelligence
AI
large cell acanthoma
diagnosis
Dermatology
RL1-803
spellingShingle melanoma
seborrheic keratosis
artificial intelligence
AI
large cell acanthoma
diagnosis
Dermatology
RL1-803
Ian Katz
Tony Azzi
Alister Lilleyman
Blake O'Brien
Brian Schapiro
Curtis Thompson
Tarl Prow
Variability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma
description Introduction. The differential diagnosis of lesions excised to exclude melanoma include a variety of benign and malignant melanocytic and non-melanocytic lesions. Objectives. We examined the variability between pathologists in diagnosing non-melanocytic lesions. Methods.  As part of a larger study prospectively examining the diagnosis of lesions excised to exclude melanoma in 198 patients at a primary care skin cancer clinic in Newcastle, Australia, we compared diagnosis made by 5 experienced dermatopathologists, of 44 non-melanocytic lesions in 44 patients aged 22-90. Results. Forty-four lesions (out of 217 in total) were non-melanocytic. Among the 5 pathologists who examined each case there was marked variability in the terminology used to diagnose each case. The most common variability was found between seborrheic keratosis, large cell acanthoma, solar lentigo, and lichenoid keratosis. The diagnosis made by the majority of the pathologists was deemed to be the reference diagnosis.  Versus majority diagnosis, 4% of benign lesions were considered malignant, and 7% of malignant diagnoses were considered as benign. Conclusions. The different terminology adopted and lack of consensus in the diagnosis of these non-melanocytic lesions in this setting suggests that training AI systems using gold standards may be problematic.  We propose a new management classification scheme called MOLEM (Management of Lesions Excised to exclude Melanoma) which expands the previously described MPATH-dx to include non-melanocytic lesions.
format article
author Ian Katz
Tony Azzi
Alister Lilleyman
Blake O'Brien
Brian Schapiro
Curtis Thompson
Tarl Prow
author_facet Ian Katz
Tony Azzi
Alister Lilleyman
Blake O'Brien
Brian Schapiro
Curtis Thompson
Tarl Prow
author_sort Ian Katz
title Variability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma
title_short Variability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma
title_full Variability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma
title_fullStr Variability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma
title_full_unstemmed Variability in the Histopathological Diagnosis of Nonmelanocytic Lesions Excised to Exclude Melanoma
title_sort variability in the histopathological diagnosis of nonmelanocytic lesions excised to exclude melanoma
publisher Mattioli1885
publishDate 2021
url https://doaj.org/article/27845115fa58473cbd793fff0bc27c69
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