Impact of Mole Mapping in the Italian Health System

Stanganelli, Ignazio; Ascierto, Paolo A.; Bono, R.; Giorgi, Vincenzo De; Pimpinelli, Nicola; Chiarion-Sileni, Vanna; Palmieri, Giuseppe; Pizzichetta, Maria Antonietta; Testori, Alessandro

doi:10.1159/000348863

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Imaging technologies, such as dermoscopy and reflectance confocal microscopy have been shown to increase the sensitivity and specificity of melanoma diagnosis [27][28][29]. Digital monitoring methods, such as total body photography and mole mapping, have also provided noninvasive means to monitor lesions [30,31]. Additionally, automated, software-enabled imaging modalities, such as MelaFind (Mela Sciences, NY, USA), have been shown to have high sensitivity and specificity, and potential to aid to detection of early melanoma and identify pigmented lesions that should be considered for biopsy to rule out melanoma [8].…”

Section: • • Mobile Teledermoscopymentioning

confidence: 99%

The Digital age of Melanoma Management: Detection and Diagnostics

Fogel

Sarin

2015

Melanoma Manag.

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New technologies are increasingly impacting the way melanoma is detected and diagnosed. Devices, software and diagnostics abound, ranging from smartphone applications that purport to predict which lesions are likely to be malignant, to genomic analysis of low-stage melanomas to predict metastatic risk. The purpose of this review is to concisely update practitioners on the research behind the latest tools available for melanoma detection and diagnosis, as well as the implications of these technologies for melanoma management.

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Section: • • Mobile Teledermoscopymentioning

confidence: 99%

The Digital age of Melanoma Management: Detection and Diagnostics

Fogel

Sarin

2015

Melanoma Manag.

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Use of Total Body Photography and Serial Digital Dermoscopy in Dermatology

Petersen

Higgins

2016

Imaging in Dermatology

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Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education

Jütte,

González-Villà,

Quintana

et al. 2024

Front. Med.

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SignificanceThe early detection and accurate monitoring of suspicious skin lesions are critical for effective dermatological diagnosis and treatment, particularly for reliable identification of the progression of nevi to melanoma. The traditional diagnostic framework, the ABCDE rule, provides a foundation for evaluating lesion characteristics by visual examination using dermoscopes. Simulations of skin lesion progression could improve the understanding of melanoma growth patterns.AimThis study aims to enhance lesion analysis and understanding of lesion progression by providing a simulated potential progression of nevi into melanomas.ApproachThe study generates a dataset of simulated lesion progressions, from nevi to simulated melanoma, based on a Cycle-Consistent Adversarial Network (Cycle-GAN) and frame interpolation. We apply an optical flow analysis to the generated dermoscopic image sequences, enabling the quantification of lesion transformation. In parallel, we evaluate changes in ABCDE rule metrics as example to assess the simulated evolution.ResultsWe present the first simulation of nevi progressing into simulated melanoma counterparts, consisting of 152 detailed steps. The ABCDE rule metrics correlate with the simulation in a natural manner. For the seven samples studied, the asymmetry metric increased by an average of 19%, the border gradient metric increased by an average of 63%, the convexity metric decreased by an average of 3%, the diameter increased by an average of 2%, and the color dispersion metric increased by an average of 45%. The diagnostic value of the ABCDE rule is enhanced through the addition of insights based on optical flow. The outward expansion of lesions, as captured by optical flow vectors, correlates strongly with the expected increase in diameter, confirming the simulation’s fidelity to known lesion growth patterns. The heatmap visualizations further illustrate the degree of change within lesions, offering an intuitive visual proxy for lesion evolution.ConclusionThe achieved simulations of potential lesion progressions could facilitate improved early detection and understanding of how lesions evolve. By combining the optical flow analysis with the established criteria of the ABCDE rule, this study presents a significant advancement in dermatoscopic diagnostics and patient education. Future research will focus on applying this integrated approach to real patient data, with the aim of enhancing the understanding of lesion progression and the personalization of dermatological care.

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Impact of Mole Mapping in the Italian Health System

Cited by 3 publications

References 22 publications

The Digital age of Melanoma Management: Detection and Diagnostics

The Digital age of Melanoma Management: Detection and Diagnostics

Use of Total Body Photography and Serial Digital Dermoscopy in Dermatology

Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education

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