Journal of the European Academy of Dermatology and Venereology最新文献

{"title":"Corrigendum to 'Spatial transcriptomic analysis of tumour-immune cell interactions in melanoma arising from congenital melanocytic nevus'.","authors":"","doi":"10.1111/jdv.20506","DOIUrl":"https://doi.org/10.1111/jdv.20506","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of blindness in a global cohort of patients with mucous membrane pemphigoid.","authors":"Henning Olbrich, Sabrina Patzelt, Christian D Sadik, Enno Schmidt, Ralf J Ludwig","doi":"10.1111/jdv.20499","DOIUrl":"https://doi.org/10.1111/jdv.20499","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dermatological societies and their climate change and sustainability commitment through 2024.","authors":"Dennis Niebel, Simon Tso, Eva Rawlings Parker, Misha Rosenbach, Eugene Tan, Hok Bing Thio, Sarah Coates, Louise Kronborg Andersen, Paige W Wolstencroft, Christina Hecker, Susanne Saha, David de Berker","doi":"10.1111/jdv.20488","DOIUrl":"https://doi.org/10.1111/jdv.20488","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The management of patients with delusional infestation across Europe.","authors":"Patrick M H J Kemperman, Nienke C C Vulink, Floortje E Feikema, Anthony Bewley, Peter Lepping, Maria-Angeliki Gkini, Rick Waalboer-Spuij, Menno A de Rie","doi":"10.1111/jdv.20485","DOIUrl":"https://doi.org/10.1111/jdv.20485","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The association of Hidradenitis Suppurativa with comorbidities in underrepresented patient populations: An All of Us database analysis.","authors":"Katie Roster, Lauren Fleshner, Banu Farabi, Bijan Safai, Shoshana Marmon","doi":"10.1111/jdv.20502","DOIUrl":"https://doi.org/10.1111/jdv.20502","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systemic anti-inflammatory therapy in congenital ichthyosis: Real-world experience in a series of 22 cases.","authors":"Laura Katharina Trefzer, Miodrag Davidovic, Donglin Li, Meropi Karakioulaki, Federica Casetti, Christoph M Schempp, Kilian Eyerich, Cristina Has","doi":"10.1111/jdv.20482","DOIUrl":"https://doi.org/10.1111/jdv.20482","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying time to medical and/or surgical therapy after diagnosis of hidradenitis suppurativa and pilonidal sinus disease: A propensity-matched real-world cohort analysis.","authors":"Tara Sholji, Raaisa Islam, James Pham, Kate Burrell, Cindy Kok, John W Frew","doi":"10.1111/jdv.20494","DOIUrl":"https://doi.org/10.1111/jdv.20494","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142807427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross-sectional comparative reader study.","authors":"A I Oloruntoba, M Asghari-Jafarabadi, M Sashindranath, Å Ingvar, N R Adler, C Vico-Alonso, L Niklasson, A L Caixinha, E Hiscutt, Z Holmes, K B Assersen, S Adamson, T Jegathees, T Bertelsen, V Velasco-Tamariz, T Helkkula, S Kristiansen, R Toholka, M S Goh, A Chamberlain, C McCormack, T Vestergaard, D Mehta, T D Nguyen, Z Ge, H P Soyer, V Mar","doi":"10.1111/jdv.20462","DOIUrl":"https://doi.org/10.1111/jdv.20462","url":null,"abstract":"<p><strong>Background: </strong>Skin cancer is a prevalent and clinically significant condition, with early and accurate diagnosis being crucial for improved patient outcomes. Dermoscopy and artificial intelligence (AI) hold promise in enhancing diagnostic accuracy. However, the impact of image quality, particularly high dynamic range (HDR) conversion in smartphone images, on diagnostic performance remains poorly understood.</p><p><strong>Objective: </strong>This study aimed to investigate the effect of varying image qualities, including HDR-enhanced dermoscopic images, on the diagnostic capabilities of clinicians and a convolutional neural network (CNN) model.</p><p><strong>Methods: </strong>Eighteen dermatology clinicians assessed 303 images of 101 skin lesions that were categorized into three image quality groups: low quality (LQ), high quality (HQ) and enhanced quality (EQ) produced using HDR-style conversion. Clinicians participated in a two part reader study that required their diagnosis, management and confidence level for each image assessed.</p><p><strong>Results: </strong>In the binary classification of lesions, clinicians had the greatest diagnostic performance with HQ images, with sensitivity (77.3%; CI 69.1-85.5), specificity (63.1%; CI 53.7-72.5) and accuracy (70.2%; CI 61.3-79.1). For the multiclass classification, the overall performance was also best with HQ images, attaining the greatest specificity (91.9%; CI 83.2-95.0) and accuracy (51.5%; CI 48.4-54.7). Clinicians had a superior performance (median correct diagnoses) to the CNN model for the binary classification of LQ and EQ images, but their performance was comparable on the HQ images. However, in the multiclass classification, the CNN model significantly outperformed the clinicians on HQ images (p < 0.01).</p><p><strong>Conclusion: </strong>This study highlights the importance of image quality on the diagnostic performance of clinicians and deep learning models. This has significant implications for telehealth reporting and triage.</p>","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142801443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IL-24 for bullous pemphigoid severity: A case-control study.","authors":"Yutong Ran, Xueting Peng, Yumin Xia, Yale Liu","doi":"10.1111/jdv.20467","DOIUrl":"https://doi.org/10.1111/jdv.20467","url":null,"abstract":"","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142794942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.","authors":"Nicholas R Kurtansky, Clare A Primiero, Brigid Betz-Stablein, Marc Combalia, Pascale Guitera, Allan Halpern, Jonathan Kentley, Harald Kittler, Konstantinos Liopyris, Josep Malvehy, Christoph Rinner, Philipp Tschandl, Jochen Weber, Veronica Rotemberg, H Peter Soyer","doi":"10.1111/jdv.20479","DOIUrl":"https://doi.org/10.1111/jdv.20479","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>To evaluate whether patient-contextual lesion-images improves diagnostic accuracy for melanoma in a dermoscopic image-based AI competition and a human reader study.</p><p><strong>Methods: </strong>An international online AI competition was held in 2020. The task was to classify dermoscopy images as melanoma or benign lesions. A multi-source dataset of dermoscopy images grouped by patient were provided, and additional use of public datasets was permitted. Competitors were judged on area under the receiver operating characteristic (AUROC) on a private leaderboard. Concurrently, a human reader study was hosted using a subset of the test data. Participants gave their initial diagnosis of an index case (melanoma vs. benign) and were then presented with seven additional lesion-images of that patient before giving a second prediction of the index case. Outcome measures were sensitivity and specificity.</p><p><strong>Results: </strong>The top 50 of 3308 AI competition entries achieved AUROC scores ranging from 0.943 to 0.949. Few algorithms considered intra-patient lesion patterns and instead most evaluated images independently. The median sensitivity and specificity of human readers before receiving contextual images were 60.0% and 86.7%, and after were 60.0% and 85.7%. Human and AI algorithm performance varied by image source.</p><p><strong>Conclusion: </strong>This study provided an open-source state-of-the-art algorithm for melanoma detection that has been evaluated at multiple centres. Patient-contextual images did not positively impact performance of AI algorithms or human readers. Providing seven contextual images and no total body image may have been insufficient to test the applicability of the intra-patient lesion patterns.</p>","PeriodicalId":17351,"journal":{"name":"Journal of the European Academy of Dermatology and Venereology","volume":" ","pages":""},"PeriodicalIF":8.4,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142794940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}