Clinical Clues to Avoid Missing Melanoma When Morphology Is Not Enough

Argenziano, Giuseppe; Briatico, Giulia; Brancaccio, Gabriella; Alfano, Roberto; Moscarella, Elvira; Lallas, Aimilios

doi:10.5826/dpc.1104a143

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…We integrated and combined all the relevant clinical, dermoscopy and confocal features to facilitate diagnosis as previously described to minimize the risk of missing a melanoma [9]. In equivocal cases all relevant information was readily available to the reporting histopathologists.…”

Section: Discussionmentioning

confidence: 99%

The hunt for baby melanomas: a prospective study of the dermoscopy features on 100 small melanoma cases with in vivo surface diameters up to a maximum of 6mm.

Pyne

MacDonald

Beale

et al. 2022

Dermatol Pract Concept

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Background:: Early diagnosis can improve melanoma prognosis. Dermoscopy can enhance early melanoma recognition. Objectives: Examine the dermoscopy features of early melanoma up to a maximum surface diameter of 6mm. Methods: Consecutive melanoma cases were collected from two medical practices in Sydney, Australia 2019-2021. Dermoscopy features were recorded for melanomas by maximum surface diameter, to the nearest 0.1 mm, to a limit of 6mm. Results: Total cases numbered 100; with males (n=48) and females (n=52), melanoma in situ (MIS, n=96) and invasive (n=4). The most frequent anatomic sites on both males and females were back (males n=20, females n=16) then knee or leg (males n=8, females n=12). Minimum respective MIS diameters for males/females was 1.2/2.0mm and for invasive cases 2.0/3.4mm. Highest frequency dermoscopy features were: light brown, dark brown, grey and asymmetric melanoma shape. Brown pigment in hair follicles were more frequent on legs compared to other anatomic sites [OR 14.6, 95%CI (1.29-165.17), p 0.03]. Pseudopods were substantially increased in frequency comparing diameters less than 4mm with 4 up to 6mm [OR 8.81, 95%CI (1.05-73.9), p 0.004]. Structureless area cases recorded increased grey [OR 7.08, 95%CI (1.61-31.11) p=0.01]. Melanomas with edge angulation were noted in 20-50% of cases across diameters 1-6mm, less frequent were pigmented circles and polygons. Conclusion: Watch out! MIS presented with a surface diameter of just 1.2 mm and invasive melanoma 2.5mm. Pseudopods were a strong clue to melanomas with a surface diameter less than 5mm. We found melanomas on leg sites displayed more frequent pigmented hair follicles.

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Section: Discussionmentioning

confidence: 99%

The hunt for baby melanomas: a prospective study of the dermoscopy features on 100 small melanoma cases with in vivo surface diameters up to a maximum of 6mm.

Pyne

MacDonald

Beale

et al. 2022

Dermatol Pract Concept

View full text Add to dashboard Cite

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Nevoid melanoma as a diagnostic problem

Ďuríková¹

2023

Onkologie

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AI in dermatology: a comprehensive review into skin cancer detection

Behara,

Bhero,

Agee

2024

PeerJ Computer Science

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Background Artificial Intelligence (AI) is significantly transforming dermatology, particularly in early skin cancer detection and diagnosis. This technological advancement addresses a crucial public health issue by enhancing diagnostic accuracy, efficiency, and accessibility. AI integration in medical imaging and diagnostic procedures offers promising solutions to the limitations of traditional methods, which often rely on subjective clinical evaluations and histopathological analyses. This study systematically reviews current AI applications in skin cancer classification, providing a comprehensive overview of their advantages, challenges, methodologies, and functionalities. Methodology In this study, we conducted a comprehensive analysis of artificial intelligence (AI) applications in the classification of skin cancer. We evaluated publications from three prominent journal databases: Scopus, IEEE, and MDPI. We conducted a thorough selection process using the PRISMA guidelines, collecting 1,156 scientific articles. Our methodology included evaluating the titles and abstracts and thoroughly examining the full text to determine their relevance and quality. Consequently, we included a total of 95 publications in the final study. We analyzed and categorized the articles based on four key dimensions: advantages, difficulties, methodologies, and functionalities. Results AI-based models exhibit remarkable performance in skin cancer detection by leveraging advanced deep learning algorithms, image processing techniques, and feature extraction methods. The advantages of AI integration include significantly improved diagnostic accuracy, faster turnaround times, and increased accessibility to dermatological expertise, particularly benefiting underserved areas. However, several challenges remain, such as concerns over data privacy, complexities in integrating AI systems into existing workflows, and the need for large, high-quality datasets. AI-based methods for skin cancer detection, including CNNs, SVMs, and ensemble learning techniques, aim to improve lesion classification accuracy and increase early detection. AI systems enhance healthcare by enabling remote consultations, continuous patient monitoring, and supporting clinical decision-making, leading to more efficient care and better patient outcomes. Conclusions This comprehensive review highlights the transformative potential of AI in dermatology, particularly in skin cancer detection and diagnosis. While AI technologies have significantly improved diagnostic accuracy, efficiency, and accessibility, several challenges remain. Future research should focus on ensuring data privacy, developing robust AI systems that can generalize across diverse populations, and creating large, high-quality datasets. Integrating AI tools into clinical workflows is critical to maximizing their utility and effectiveness. Continuous innovation and interdisciplinary collaboration will be essential for fully realizing the benefits of AI in skin cancer detection and diagnosis.

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Clinical Clues to Avoid Missing Melanoma When Morphology Is Not Enough

Cited by 3 publications

References 19 publications

The hunt for baby melanomas: a prospective study of the dermoscopy features on 100 small melanoma cases with in vivo surface diameters up to a maximum of 6mm.

The hunt for baby melanomas: a prospective study of the dermoscopy features on 100 small melanoma cases with in vivo surface diameters up to a maximum of 6mm.

Nevoid melanoma as a diagnostic problem

AI in dermatology: a comprehensive review into skin cancer detection

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