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Carlos Santonja

Researcher at Autonomous University of Madrid

Publications -  92
Citations -  1612

Carlos Santonja is an academic researcher from Autonomous University of Madrid. The author has contributed to research in topics: Medicine & Lymphoma. The author has an hindex of 20, co-authored 83 publications receiving 1216 citations. Previous affiliations of Carlos Santonja include Sofia University.

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SARS-CoV-2 endothelial infection causes COVID-19 chilblains: histopathological, immunohistochemical and ultrastructural study of seven paediatric cases

TL;DR: Chilblains (‘COVID toes’) are being seen with increasing frequency in children and young adults during the COVID‐19 pandemic, and causality of SARS‐CoV‐2 has not yet been established.
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Guidelines for processing and reporting of prostatic needle biopsies.

TL;DR: The adoption of an unequivocal and uniform way of reporting lesions encountered in prostatic needle biopsies is considered helpful for decision taking by the clinician, and the definition of parameters for quality control of prostatic needles biopsy diagnostics will further facilitate clinical epidemiological multicentre studies of prostate cancer.
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Erythema multiforme-like lesions in children and COVID-19.

TL;DR: The coincidence of EM, a condition commonly related to viruses, and chilblains in the setting of COVID‐19, and the positivity for SARS‐CoV/SARS‐ CoV‐2 spike protein by immunohistochemistry strongly suggest a link between EM‐like lesions and SARS-CoV‐ 2.
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Pleomorphic dermal sarcoma: a more aggressive neoplasm than previously estimated

TL;DR: Pleomorphic dermal sarcoma is a rare neoplasm sharing pathological features with atypical fibroxanthoma, but adding tumor necrosis, invasion beyond superficial subcutis or vascular or perineural infiltration.
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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.

Sarah Haggenmüller, +64 more
TL;DR: In this article, the authors systematically analyzed the current state of research on reader studies involving melanoma and assessed their potential clinical relevance by evaluating three main aspects: test set characteristics (holdout/out-of-distribution data set, composition), test setting (experimental/clinical, inclusion of metadata) and representativeness of participating clinicians.