Cutaneous pseudolymphomas are a group of benign lymphocyte-rich infiltrates that can mimic cutaneous lymphomas either clinically and/or histologically. Idiopathic T-cell pseudolymphoma (TCPL) usually presents as a solitary nodule or plaque on the trunk or head. A clinicopathologic correlation is mandatory to arrive at a final diagnosis and rule out true lymphomas. There are only sparse dermoscopic reports on cutaneous pseudolymphomas. Hereby, we describe the clinical and dermoscopic features of a case of idiopathic TCPL in a 26-year-old man who presented with an asymptomatic thin reddish-brown "table tennis racquet"-shaped plaque on the right inframammary area.
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http://dx.doi.org/10.4103/idoj.IDOJ_530_20 | DOI Listing |
NPJ Digit Med
January 2025
AIM for Health Lab, Faculty of Information Technology, Monash University, Melbourne, VIC, Australia.
Traditional disease classification models often disregard the clinical significance of misclassifications and lack interpretability. To overcome these challenges, we propose a hierarchical prototypical decision tree (HPDT) for skin lesion classification. HPDT combines prototypical networks and decision trees, leveraging a class hierarchy to guide interpretable predictions from general to specific categories.
View Article and Find Full Text PDFInt J Dermatol
January 2025
Department of Dermatology, Al-Thawra Modern General Hospital, Sana'a, Yemen.
Cancers (Basel)
January 2025
Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320, Taiwan.
Background: Skin cancer is the most common cancer worldwide, with melanoma being the deadliest type, though it accounts for less than 5% of cases. Traditional skin cancer detection methods are effective but are often costly and time-consuming. Recent advances in artificial intelligence have improved skin cancer diagnosis by helping dermatologists identify suspicious lesions.
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December 2024
Soft-Tissue, Peritoneum and Melanoma Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy.
Diagnosis of nevoid melanoma (NeM) is often difficult because NeM closely resembles a common nevus clinically and histologically. A retrospective study was conducted on 110 patients diagnosed with and/or treated for primary nevoid melanoma at the Veneto Institute of Oncology and at the University Hospital of Padua from August 1999. Mean Breslow thickness was of 1.
View Article and Find Full Text PDFCancers (Basel)
December 2024
65+ Outpatient Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.
: Melanoma, an aggressive form of skin cancer, accounts for a significant proportion of skin-cancer-related deaths worldwide. Early and accurate differentiation between melanoma and benign melanocytic nevi is critical for improving survival rates but remains challenging because of diagnostic variability. Convolutional neural networks (CNNs) have shown promise in automating melanoma detection with accuracy comparable to expert dermatologists.
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