个性化黑色素瘤分级系统：一名患者的四个黑色素瘤检测超过二十年，不断发展的全身成像和人工智能系统。

Q3 Medicine

Dermatology online journal Pub Date : 2024-10-15 DOI:10.5070/D330564426

Rhett Drugge, Xhuljeta Naqo, Sabina Dedej, Galyna Girnyk, Jona Naqo, Frank Drugge, Elgida Volpicelli

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引用次数: 0

摘要

黑色素瘤是一种危及生命的肿瘤，严重影响着全世界的个人健康和社会。因此，它的诊断工具必须革命，代表最显著的人类努力向成功的管理。本回顾性研究包括对我们诊所的5例男性黑色素瘤的多维分析，包括全身摄影、皮肤镜检查、人工智能系统、基因检测和最终的组织病理学结论。讨论了每个诊断步骤的结果之间的相关性。黑素瘤分级系统的价值将是应用于高危病变做出正确的管理决策。

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Personalized melanoma grading system: a presentation of a patient with four melanomas detected over two decades with evolving whole-body imaging and artificial intelligence systems.

Melanoma is a life-threatening tumor that significantly impacts individuals' health and society worldwide. Therefore, its diagnostic tools must be revolutionized, representing the most remarkable human efforts toward successful management. This retrospective study includes the multidimensional analysis of five melanomas in a man in our clinic including whole-body photography, dermatoscopy, artificial intelligence system, genetic test, and the final histopathological conclusion. The correlation between findings in each diagnostic step is discussed. The value of the melanoma grading system will be the application in high-risk lesions to make the right management decision.

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来源期刊

Dermatology online journal Medicine-Dermatology

CiteScore

1.70

自引率

0.00%

发文量

200

审稿时长

6 weeks

期刊介绍： An open-access, refereed publication intended to meet reference and education needs of the international dermatology community since 1995. Dermatology Online Journal is supported by the Department of Dermatology UC Davis, and by the Northern California Veterans Administration.