7 results match your criteria: "St. Vincent Evansville Medical Center[Affiliation]"

Mycosis fungoides (MF) is characterized by epidermotropic atypical lymphocytes infiltrate with α/β T-helper memory immunophenotype (βF1+, CD3+, CD4+, CD45Ro+, and CD8-). Angiocentricity is always associated with aggressive behavior or poor outcome in primary or secondary cutaneous lymphomas. Rare cases of angiocentric MF with a T-cytotoxic immunophenotype (CD3+, CD4-, CD8+, TIA-1+) have been described.

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Background: Deep learning has the potential to improve diagnostic accuracy and efficiency in medical image recognition. In the current study, we developed a deep learning algorithm and assessed its performance in discriminating melanoma from nevus using whole-slide pathological images (WSIs).

Methods: The deep learning algorithm was trained and validated using a set of 781 WSIs (86 melanomas, 695 nevi) from PLA General Hospital.

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Imaging of Vulva Syringoma With Reflectance Confocal Microscopy.

Front Med (Lausanne)

February 2021

Department of Pathology, St. Vincent Evansville Medical Center, Evansville, IN, United States.

To investigate the application of reflectance confocal microscopy (RCM) imaging in diagnosis of vulva syringoma. Patients with lesions suspicious of syringoma on vulva were enrolled in the study. After informed consent was taken, the lesions were photographed and imaged with RCM.

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Castleman disease (CD) is an unusual lymphoproliferative disorder characterized by multiple lymphadenopathy accompanied by marked systemic inflammatory symptoms. CD can be unicentric (UCD) or multicentric (MCD), and it can be classified into three types based on histopathology: hyaline vascular type, plasma cell type, and mixed hyaline vascular and plasma cell type. CD involving skin is an unusual clinical manifestation.

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