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Development and internal validation of a model to predict the class of focal liver lesions at magnetic resonance imaging by texture analysis

Rationale: The differential diagnosis of focal liver lesions remains challenging, particularly in situations where the use of contrast agents in magnetic resonance imaging (MRI) is contraindicated (e. g., due to renal failure or allergy) or when the findings on T2-weighted images (T2WI) lack any pat...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yuriy A. Vasilev, Anton V. Vladzymyrskyy, Filipp V. Golubev, Olga V. Omelyanskaya, Nikita A. Savin, Daniel V. Gordienko, Ivan A. Blokhin
Format: Artigo
Sprache:Russo
Veröffentlicht: MONIKI 2025-12-01
Schriftenreihe:Alʹmanah Kliničeskoj Mediciny
Schlagworte:
radiomics
machine learning
texture analysis
liver
oncology
lesions
magnetic resonance imaging
t2-weighted mri
Online-Zugang:https://almclinmed.ru/jour/article/viewFile/17520/1764
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