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Background: Angioimmunoblastic T-cell lymphoma (AITL) is a distinct subtype of peripheral T-cell lymphoma (PTCL) and accounts for 2% of all non-Hodgkin lymphomas. Its typical characteristics include an aggressive course, progressive lymphadenopathy, hepatosplenomegaly, systemic symptoms, anemia, hypergammaglobulinemia, and generally poor prognosis.
Methods: We describe a rare case in which the left inguinal lymph node was completely excised and biopsied one year ago.
NAB2::STAT6 Rearranged Carcinoma of the Parotid Gland with Sebaceous Differentiation: A Case Report.
Head Neck Pathol
January 2025
Department of Pathology, University Medical Center Utrecht, Utrecht, 3508 GA, The Netherlands.
Purpose: The NAB2::STAT6 fusion is predominantly associated with solitary fibrous tumors (SFTs) and is utilized in diagnosing SFTs through nuclear STAT6 protein overexpression. Recent studies expanded the phenotypic spectrum of NAB2::STAT6 rearranged neoplasms, including adamantinoma-like and teratocarcinosarcoma-like phenotypes. We report a case of a NAB2::STAT6 rearranged epithelial tumor exhibiting sebaceous differentiation in the parotid gland.
View Article and Find Full Text PDFCytologic diagnosis of fumarate hydratase-deficient renal cell carcinoma: A single-institutional experience.
Cancer Cytopathol
February 2025
Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Background: Fumarate hydratase-deficient renal cell carcinoma (FHRCC) is an aggressive carcinoma that typically presents as advanced-stage disease. Prompt recognition of FHRCC is critical for appropriate clinical care and genetic counseling for patients and family members. However, diagnosing FHRCC from cytology specimens is challenging, with limited characterization and no reports describing prospectively identified cases.
View Article and Find Full Text PDFNeural cell types have classically been characterized by their anatomy and electrophysiology. More recently, single-cell transcriptomics has enabled an increasingly fine genetically defined taxonomy of cortical cell types, but the link between the gene expression of individual cell types and their physiological and anatomical properties remains poorly understood. Here, we develop a hybrid modeling approach to bridge this gap.
View Article and Find Full Text PDFDeep learning segmentation architectures for automatic detection of pancreatic ductal adenocarcinoma in EUS-guided fine-needle biopsy samples based on whole-slide imaging.
Endosc Ultrasound
December 2024
Department of Gastroenterology, Ponderas Academic Hospital, Bucharest, Romania.
Background: EUS-guided fine-needle biopsy is the procedure of choice for the diagnosis of pancreatic ductal adenocarcinoma (PDAC). Nevertheless, the samples obtained are small and require expertise in pathology, whereas the diagnosis is difficult in view of the scarcity of malignant cells and the important desmoplastic reaction of these tumors. With the help of artificial intelligence, the deep learning architectures produce a fast, accurate, and automated approach for PDAC image segmentation based on whole-slide imaging.
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