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    Dermatology practical & conceptual

    Dermatology practical & conceptual

    JournalISSN 2160-9381eISSN 2160-9381中科院 医学 4区

    年发文量

    研究主题

    论文(2194)

    排序
    1Decision-Making for Performing Sentinel Lymph Node Biopsy in T1b Melanoma
    Claire Baptiste, Peter Callas,Conor O’Neill, Christine Weinberger,Jessica Cintolo-Gonzalez

    Introduction: Sentinel lymph node biopsy (SLNB) provides prognostic value in melanoma and guides management. Objective: To evaluate factors associated with SLNB utilization in patients with cT1b melanoma, including clinicopathologic features, gene expression profiling (GEP), and available predictive risk models. Methods: We retrospectively reviewed patients diagnosed with cT1b melanoma from 2010 to 2024 using the University of Vermont Cancer Center registry. Demographic and clinicopathologic data were analyzed. Bivariate tests identified associations; logistic regression determined predictors of SLNB. Among patients who underwent SLNB, predicted SLN positivity was calculated using Melanoma Institute Australia (MIA) and Memorial Sloan Kettering Cancer Center (MSKCC) risk calculators. Model discrimination was assessed using area under receiver operating characteristic curve. Results: Among 212 patients, 135 (64%) underwent SLNB. Younger age (p=0.004) and Breslow thickness >0.8 mm (p<0.001) were associated with SLNB, while cardiac disease (p=0.04) and GEP testing (p=0.004) were inversely associated. On multivariable analysis, older age reduced odds of SLNB (OR per 10-year increase 0.62, 95% CI 0.48–0.81, p<0.001), whereas thickness >0.8 mm increased odds (OR=12.48, 95% CI 5.84–26.64, p<0.001). Only one of eight GEP-tested patients underwent SLNB (OR=0.05, 95% CI 0.01–0.44, p=0.008). In the SLNB subset with complete model inputs, the MIA model demonstrated an AUC of 0.744 (95% CI 0.472–1.000), and the MSKCC model demonstrated an AUC of 0.566 (95% CI 0.254–0.877) with poor correlation between models (ICC=0.102). Conclusions: With a SLNB rate of 64% of cT1b melanoma patients, findings from this study highlight variability in SLNB decision-making for cT1b melanoma.

    2026
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    2Seeing Beneath the Surface: Reflectance Confocal Microscopy Findings in A Clinically Elusive Microcystic Adnexal Carcinoma
    Nelson Lobos-Guede,Fernanda Ramírez-Bravo, Sofía Jiménez-Castillo, Christiane Jander Mies, Arturo Moyano Madrid,Alex Castro
    2026
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    3Fibroepithelioma of Pinkus: Diagnosis Supported by Reflectance Confocal Microscopy
    Nelson Lobos-Guede, Jara Valtueña,Sebastian Podlipnik, Dan Hartmann,Natalia Castrejon,Cristina Carrera
    2026
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    4Orange is the New Black: Ultraviolet-Induced Fluorescence Dermoscopy Identifies Ochre Fluorescence in Melanoma, Case Report
    Julien Anriot, Emma Clochard,Pawel Pietkiewicz, Cristian Navarette-Dechent,Mona Amini-Adle
    2026
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    5High-Magnification Dermoscopy for in Vivo Identification of Pthirus Pubis and Monitoring of Treatment Response
    Marianne Signoret-Bravo,Josefina Gazmuri, Ernesto Jaramillo, David Isla,Cristian Navarrete-Dechent, Monserrat Molgo
    2026
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    高被引作者

    作者引用发文
    Aimilios Lallas138874
    Apalla Zoe100539
    Elizabeth Lazaridou79620
    Giuseppe Argenziano788110
    Iris Zalaudek72448
    Elena Sotiriou70513
    Demetris Ioannides5824
    E Moscarella51844
    Caterina Longo44432
    Rajani Katta37414

    高产作者

    作者引用发文
    Giuseppe Argenziano788110
    Aimilios Lallas138874
    Iris Zalaudek72448
    E Moscarella51844
    Giovanni Pellacani28142
    Bianca Maria Piraccini16941
    Apalla Zoe100539
    Michela Starace26437
    Enzo Errichetti27436
    Vincenzo Piccolo8435

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