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El gráfico muestra las medias y desviaciones estándares, así como las trayectorias individuales, obtenidas de múltiples simulaciones de las dos poblaciones. Los pacientes que sufren de fibrosis presentarán concentraciones significativamente más bajas del agente de contraste en el hígado durante el examen.
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The plot shows the means and standard deviations, as well as the individual trajectories, obtained from multiple simulations of the two populations. Patients suffering from fibrosis will have a significantly lower concentration of contrast agent in the liver during the course of the examination.
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La representación gráfica muestra la media y desviación estándar, así como las trayectorias individuales, obtenidas a partir de múltiples simulaciones de las dos poblaciones. Los pacientes que sufren de fibrosis tendrán una concentración significativamente menor del agente de contraste en el hígado durante examen.
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The plot shows the means and standard deviations, as well as the individual trajectories, obtained from multiple simulations of the two populations. Patients suffering from fibrosis will have a significantly lower concentration of contrast agent in the liver during the course of the examination.
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Aquí, creamos un modelo farmacocinético para describir la distribución y transferir tasas de agente de contraste entre distintas partes del cuerpo. Usando datos de MRI, el modelo es luego calibrado para investigar la diferencia cuantitativa entre una población sana y pacientes enfermos que sufren de fibrosis hepática etapa 4.
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The use of liver-specific contrast agents in combination with magnetic resonance imaging (MRI) has recently emerged as a non-invasive approach to assess liver function. Here, we create a pharmacokinetic model to describe the distribution and transfer rates of contrast agent between different parts of the body. Using MRI data, the model is then calibrated to investigate the quantitative difference between a non-diseased population and diseased patients suffering from liver fibrosis stage 4.
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Aquí, creamos un modelo farmacocinético para describir la distribución y tasas de transferencia de agentes de contraste entre distintas partes del cuerpo. Usando datos de MRI, el modelo es calibrado para investigar la diferencia cuantitativa entre pacientes sanos y pacientes que sufren fibrosis hepática etapa 4.
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The use of liver-specific contrast agents in combination with magnetic resonance imaging (MRI) has recently emerged as a non-invasive approach to assess liver function. Here, we create a pharmacokinetic model to describe the distribution and transfer rates of contrast agent between different parts of the body. Using MRI data, the model is then calibrated to investigate the quantitative difference between a non-diseased population and diseased patients suffering from liver fibrosis stage 4.
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Cuando se accede a webMathematica por primera vez, se lanza Mathematica con su tiempo de inicio normal, lo cual causa una demora cuando el sistema inicia. Como Mathematica se mantiene en ejecución entre pedidos, los pedidos subsiguientes no sufren esta demora.
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Other than normal internet delays, there is minimal overhead when using webMathematica. When webMathematica is accessed for the first time, Mathematica is launched with its normal start-up time, causing a delay when the system is first launched. As Mathematica is kept running between requests, subsequent requests do not have this overhead.