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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
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Consorcio de Imagenología de Alzheimer

Pierrick Bourgeat1, Jurgen Fripp1, Ashley G Gillman2

  • 1CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, QLD, Australia.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Un novedoso método de aprendizaje profundo, DeepSUVR, mejora la cuantificación de PET amiloide corrigiendo el ruido de la relación de valor de captación estandarizada (SUVR). Este avance mejora la armonización en grandes conjuntos de datos y trazadores para una mejor toma de decisiones clínicas.

Palabras clave:
aprendizaje profundoimagenología de PET amiloidecuantificación de SUVRCentiloidearmonización de datosensayos clínicosAlzheimerneuroimagenologíainteligencia artificial

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