Melanoma Detection by Non-Specialists: An Untapped Potential for Triage?
Introduction: The incidence of melanoma increased considerably in recent decades, representing a significant public health problem. We aimed to evaluate the ability of non-specialists for the preliminary screening of skin lesions to identify melanoma-suspect lesions. Materials and Methods: A medical...
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MDPI AG
2022-11-01
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author | Carmen Cantisani Luca Ambrosio Carlotta Cucchi Fanni Adél Meznerics Norbert Kiss András Bánvölgyi Federica Rega Flavia Grignaffini Francesco Barbuto Fabrizio Frezza Giovanni Pellacani |
author_facet | Carmen Cantisani Luca Ambrosio Carlotta Cucchi Fanni Adél Meznerics Norbert Kiss András Bánvölgyi Federica Rega Flavia Grignaffini Francesco Barbuto Fabrizio Frezza Giovanni Pellacani |
author_sort | Carmen Cantisani |
collection | DOAJ |
description | Introduction: The incidence of melanoma increased considerably in recent decades, representing a significant public health problem. We aimed to evaluate the ability of non-specialists for the preliminary screening of skin lesions to identify melanoma-suspect lesions. Materials and Methods: A medical student and a dermatologist specialist examined the total body scans of 50 patients. Results: The agreement between the expert and the non-specialist was 87.75% (κ = 0.65) regarding the assessment of clinical significance. The four parameters of the ABCD rule were evaluated on the 129 lesions rated as clinically significant by both observers. Asymmetry was evaluated similarly in 79.9% (κ = 0.59), irregular borders in 74.4% (κ = 0.50), color in 81.4% (κ = 0.57), and diameter in 89.9% (κ = 0.77) of the cases. The concordance of the two groups was 96.9% (κ = 0.83) in the case of the detection of the Ugly Duckling Sign. Conclusions: Although the involvement of GPs is part of routine care worldwide, emphasizing the importance of educating medical students and general practitioners is crucial, as many European countries lack structured melanoma screening training programs targeting non-dermatologists. |
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issn | 2075-4418 |
language | English |
last_indexed | 2024-03-09T18:24:02Z |
publishDate | 2022-11-01 |
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series | Diagnostics |
spelling | doaj.art-fe65de80d216455699a1f68abce241a32023-11-24T08:04:49ZengMDPI AGDiagnostics2075-44182022-11-011211282110.3390/diagnostics12112821Melanoma Detection by Non-Specialists: An Untapped Potential for Triage?Carmen Cantisani0Luca Ambrosio1Carlotta Cucchi2Fanni Adél Meznerics3Norbert Kiss4András Bánvölgyi5Federica Rega6Flavia Grignaffini7Francesco Barbuto8Fabrizio Frezza9Giovanni Pellacani10Dermatology Clinic, Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza Medical School, Sapienza University of Rome, 00185 Rome, ItalyDermatology Clinic, Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza Medical School, Sapienza University of Rome, 00185 Rome, ItalyDermatology Clinic, Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza Medical School, Sapienza University of Rome, 00185 Rome, ItalyDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, HungaryDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, HungaryDermatology Clinic, Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza Medical School, Sapienza University of Rome, 00185 Rome, ItalyDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDermatology Clinic, Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza Medical School, Sapienza University of Rome, 00185 Rome, ItalyIntroduction: The incidence of melanoma increased considerably in recent decades, representing a significant public health problem. We aimed to evaluate the ability of non-specialists for the preliminary screening of skin lesions to identify melanoma-suspect lesions. Materials and Methods: A medical student and a dermatologist specialist examined the total body scans of 50 patients. Results: The agreement between the expert and the non-specialist was 87.75% (κ = 0.65) regarding the assessment of clinical significance. The four parameters of the ABCD rule were evaluated on the 129 lesions rated as clinically significant by both observers. Asymmetry was evaluated similarly in 79.9% (κ = 0.59), irregular borders in 74.4% (κ = 0.50), color in 81.4% (κ = 0.57), and diameter in 89.9% (κ = 0.77) of the cases. The concordance of the two groups was 96.9% (κ = 0.83) in the case of the detection of the Ugly Duckling Sign. Conclusions: Although the involvement of GPs is part of routine care worldwide, emphasizing the importance of educating medical students and general practitioners is crucial, as many European countries lack structured melanoma screening training programs targeting non-dermatologists.https://www.mdpi.com/2075-4418/12/11/2821melanoma screeningtriageartificial intelligence |
spellingShingle | Carmen Cantisani Luca Ambrosio Carlotta Cucchi Fanni Adél Meznerics Norbert Kiss András Bánvölgyi Federica Rega Flavia Grignaffini Francesco Barbuto Fabrizio Frezza Giovanni Pellacani Melanoma Detection by Non-Specialists: An Untapped Potential for Triage? Diagnostics melanoma screening triage artificial intelligence |
title | Melanoma Detection by Non-Specialists: An Untapped Potential for Triage? |
title_full | Melanoma Detection by Non-Specialists: An Untapped Potential for Triage? |
title_fullStr | Melanoma Detection by Non-Specialists: An Untapped Potential for Triage? |
title_full_unstemmed | Melanoma Detection by Non-Specialists: An Untapped Potential for Triage? |
title_short | Melanoma Detection by Non-Specialists: An Untapped Potential for Triage? |
title_sort | melanoma detection by non specialists an untapped potential for triage |
topic | melanoma screening triage artificial intelligence |
url | https://www.mdpi.com/2075-4418/12/11/2821 |
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