Introduction: The International Dermoscopy Society (IDS) conducted an online survey to investigate the impact of coronavirus disease 2019 (COVID-19) outbreak on the daily practice of dermatologists working with skin cancer patients, to collect data regarding the frequency of skin manifestations noticed by the members, and to obtain information about the use of teledermatology during the pandemic.
Methods: All IDS members were asked to fill in a questionnaire, sent by email. A questionnaire available in English was sent to all IDS members (≈16.0000 members) by email. The questionnaire was anonymous, with a compiling time of less than 5 minutes. The survey was open for 30 days (from April 24, 2020 to May 24, 2020) and it could only be filled out once.
Results: Overall, 678 dermatologists responded to the questionnaire; 334 members stated that there has been a reduction of more than 75% in daily work activity during the pandemic, 265 dermatologists worked fewer days per week, and 118 experienced telemedicine for the first time. Acrodermatitis was the most frequently observed skin manifestation (n = 80) followed by urticarial rash (n = 69), morbilliform rash (n = 53) and purpuric manifestation (n = 40). In regard to the role of teledermatology, 565 dermatologists reported an increased number of teleconsultations, and the number of melanomas diagnosed during the pandemic was practically 0 for 385 (56.78%) of respondents.
Conclusion: This survey highlights that the outbreak had a negative impact on most dermatology services, with a significant reduction in consultation time spent for chronic patients, and an increased risk of missed melanoma and nonmelanoma skin cancer (NMSC) diagnosis. Moreover, our study confirms earlier findings of a wide range of skin manifestations associated with COVID-19.
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http://dx.doi.org/10.5826/dpc.1101a153 | DOI Listing |
Nat Commun
January 2025
Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
View Article and Find Full Text PDFArch Dermatol Res
January 2025
Department of Dermatology, Kocaeli University Faculty of Medicine, Kocaeli, Türkiye.
Introduction: Psoriasis is a chronic inflammatory skin disorder affecting millions worldwide. Dermoscopy and proximal nailfold capillaroscopy have emerged as valuable tools for understanding the pathophysiology and treatment response of psoriasis lesions.
Objectives: This study aimed to contribute to the limited literature on using dermoscopic findings to detect treatment effectiveness in patients with psoriasis vulgaris.
J Eur Acad Dermatol Venereol
December 2024
Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Background: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of the patient is often criticized. Along with medical history, a dermatologist would also consider intra-patient nevi patterns, such that nevi that are different from others on a given patient are treated with suspicion.
Objective: To evaluate whether patient-contextual lesion-images improves diagnostic accuracy for melanoma in a dermoscopic image-based AI competition and a human reader study.
Comput Biol Med
February 2025
Computer Vision and Robotics Group, University of Girona, Plaça de Sant Domènec, 3, Girona, 17004, Spain.
Computational approaches offer a valuable tool to aid with the early diagnosis of melanoma by increasing both the speed and accuracy of doctors' decisions. The latest and best-performing approaches often rely on large ensemble models, with the number of trained parameters exceeding 600 million. However, this large parameter count presents considerable challenges in terms of computational demands and practical application.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Ophthalmology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China.
Skin Cancer, which leads to a large number of deaths annually, has been extensively considered as the most lethal tumor around the world. Accurate detection of skin cancer in its early stage can significantly raise the survival rate of patients and reduce the burden on public health. Currently, the diagnosis of skin cancer relies heavily on human visual system for screening and dermoscopy.
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