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Imaging Studies I: CT and MRI

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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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...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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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...
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Lung Capacity01:47

Lung Capacity

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The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
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Avoidance Learning and Learned Helplessness01:14

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Video Experimental Relacionado

Updated: Feb 6, 2026

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
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La reconstrucción con aprendizaje profundo mejora la imagenología del cáncer de pulmón por TC

Takeshi Osaki1, Akio Tamura1, Shun Abe2

  • 1Department of Radiology, Iwate Medical University, Yahaba-cho, JPN.

Cureus
|February 5, 2026
PubMed
Resumen

La TC de ultra alta resolución (UHRCT) con reconstrucción por aprendizaje profundo (DLR) mejoró significativamente la imagen de un tumor apical de pulmón difícil. Esta visualización mejorada ayudó en el diagnóstico preciso y la planificación del tratamiento adecuado para el adenocarcinoma de pulmón.

Conclusiones:

  • La UHRCT combinada con DLR es una herramienta valiosa para la evaluación de tumores apicales de pulmón, particularmente en regiones anatómicamente desafiantes.
  • La imagen de alta calidad proporcionada por DLR facilita la delimitación precisa de los límites del tumor y las estructuras adyacentes.
  • Esta tecnología ayuda en la planificación precisa del tratamiento para pacientes con cáncer de pulmón.
Palabras clave:
cáncer de pulmón apicalartefactoinvasión de la pared torácicareconstrucción por aprendizaje profundo (dlr)ruidotumor de pancoastTC de ultra alta resolución (uhrct)

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