Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

435
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...
435
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

406
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
406
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

564
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
564
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

424
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
424
Computed Tomography01:10

Computed Tomography

9.1K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.1K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

303
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,...
303

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Pancreatic Cancer AI: The Need for Prospective Outcome Studies.

Radiology·2026
Same author

Invited Commentary: WHO 2022 Renal Cell Tumor Update Increases Complexity to Achieve Precision: Is There a Practical Application for Radiology?

Radiographics : a review publication of the Radiological Society of North America, Inc·2026
Same author

Renal Oncocytic Neoplasms: Review of Classification Updates, Imaging, and Management.

Radiographics : a review publication of the Radiological Society of North America, Inc·2026
Same author

Re: 'Reconciling primary outcomes and statistical power: comment on a randomised controlled trial on prostate biopsy approaches'.

BJU international·2026
Same author

Imaging the Atypical and Equivocal Appendix.

Radiographics : a review publication of the Radiological Society of North America, Inc·2026
Same author

The Democratization of Deceit: Seeing Is No Longer Believing.

Radiology·2026

Video Experimental Relacionado

Updated: Feb 22, 2026

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
09:31

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

9.3K

Evaluación, optimización y validación de un algoritmo de TC multiparamétrico para masas renales sólidas: CT-Score

Satheesh Krishna1, Mayooran Kandasamy1, Rajesh Bhayana1

  • 1Department of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Street Address, Toronto, ON, Canada M5G 2C4.

Radiology. Imaging cancer
|February 20, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo algoritmo CT-Score versión 2.0 mejoró modestamente el acuerdo interobservador y mostró alta especificidad para el diagnóstico de carcinoma de células claras (ccRCC) y carcinoma de células papilares (pRCC). Este sistema basado en TC ayuda en la evaluación de masas renales sólidas pequeñas.

Palabras clave:
AlgoritmoTCccRCCRiñónOncologíapRCCMasa RenalUrinario

Más Videos Relacionados

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

748

Videos de Experimentos Relacionados

Last Updated: Feb 22, 2026

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
09:31

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

9.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

748

Área de la Ciencia:

  • Radiología e Imagenología Médica
  • Oncología
  • Urología

Sus antecedentes:

  • Las masas renales sólidas pequeñas (SoRM) requieren una caracterización precisa para diferenciar los tipos benignos de los malignos.
  • Los sistemas de evaluación basados en TC existentes para SoRM tienen diversos grados de precisión diagnóstica y acuerdo interobservador.
  • El carcinoma de células claras (ccRCC) y el carcinoma de células papilares (pRCC) son subtipos comunes que requieren una identificación precisa.

Objetivo del estudio:

  • Comparar los sistemas existentes basados en TC para la evaluación de SoRM.
  • Proponer modificaciones para mejorar la especificidad y el acuerdo interobservador.
  • Validar un sistema de puntuación de TC revisado para el diagnóstico de masas renales.

Principales métodos:

  • Análisis retrospectivo de datos de imágenes de TC de conjuntos de datos internos (n=194) y externos (n=55) de pacientes con SoRM confirmadas histológicamente (≤4 cm).
  • Comparación de cuatro sistemas de TC (puntuación de TC, puntuación de TC modificada, puntuación de TC abreviada, puntuación de TC de la UCLA) por dos radiólogos ciegos para determinar la precisión y el acuerdo interobservador (Gwet AC1).
  • Desarrollo y evaluación de CT-Score versión 2.0 mediante la adición de reglas de decisión al algoritmo de mejor rendimiento.

Principales resultados:

  • La puntuación abreviada de TC demostró la mejor precisión inicial para ccRCC y pRCC con Gwet AC1 = 0.53.
  • CT-Score versión 2.0, que incorpora nuevas reglas de decisión, logró un acuerdo sustancial (Gwet AC1 = 0.63).
  • CT-Score versión 2.0 mostró una especificidad significativamente mayor tanto para ccRCC como para pRCC en comparación con la puntuación abreviada de TC, confirmado en la validación externa.

Conclusiones:

  • CT-Score versión 2.0 ofrece mejoras modestas en el acuerdo interobservador para la evaluación de SoRM.
  • El algoritmo revisado demuestra una alta especificidad en el diagnóstico de ccRCC y pRCC.
  • Este algoritmo validado basado en TC mejora la confianza diagnóstica para masas renales sólidas pequeñas.