Results 181 to 190 of about 90,682 (248)

Challenges and Pitfalls to Diagnosing NUTM1‐Rearranged Neoplasia of the Pancreas by Cytology and Ancillary Studies

open access: yesDiagnostic Cytopathology, EarlyView.
ABSTRACT Fine‐needle aspiration cytology specimens are frequently utilized for ancillary studies to identify diagnostic and prognostic information. This case highlights diagnostic pitfalls and challenges in diagnosing NUTM1‐rearranged neoplasia on pancreatic cytology.
Terrance J. Lynn
wiley   +1 more source

Fine‐Needle Aspiration of Salivary Gland Tumors With Low‐Grade Oncocytic Features: Focusing on Oncocytoma Versus Oncocytic Mucoepidermoid Carcinoma

open access: yesDiagnostic Cytopathology, EarlyView.
ABSTRACT Background Salivary gland fine‐needle aspirates (FNAs) with low‐grade oncocytic features are diagnostically challenging due to the substantial morphologic overlap between benign oncocytic tumors and their malignant mimickers. This study evaluates the diagnostic discriminators, performance, and risk of malignancy of these lesions using the ...
Lois Araneta   +2 more
wiley   +1 more source

Renewable energy mapping in Northeastern Morocco: A geographic information system‐based comparison of geothermal, solar, and wind potential in the Guercif‐Guilliz and Beni Snassen regions

open access: yesDeep Underground Science and Engineering, EarlyView.
The graphical abstract summarizes a geographic information system (GIS)‐based synthesis of renewable energy resources in Northeastern Morocco, focusing on the Guercif‐Guilliz and Beni Snassen areas. It visually presents the spatial distribution of solar irradiation and wind energy potential derived from available datasets, alongside their relationship ...
Meryem Redouane   +5 more
wiley   +1 more source

Diagnostic discordance in amyloidosis: lessons from proteomic amyloid typing. [PDF]

open access: yesClin Kidney J
da Silva ML   +7 more
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

open access: yesEye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

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