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Related Concept Videos

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

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The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Pharmacokinetic Models: Comparison and Selection Criterion01:26

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

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Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
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Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

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A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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Updated: May 2, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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Feasibility Study on Constructing Dosimetric Correlated Geometric Parameters for Automatic Segmentation Evaluation.

Yujie Zhang1, Xin Zhou2, Weixing Ji1

  • 1Department of Radiation Oncology, Zhongshan Hospital, Fudan University, China.

Current Medical Imaging
|June 14, 2024
PubMed
Summary

New geometric parameters accurately predict radiation dose in rectal cancer patients, correlating well with dosimetric parameters. This approach aids in evaluating dose deviations from automatic segmentation in radiotherapy planning.

Keywords:
Automatic segmentationCorrelationDose-distance curveDosimetric evaluationGeometric evaluationRadiotherapy image.

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Image-guided Therapy

Background:

  • Accurate assessment of radiation dose to organs at risk is crucial in radiotherapy planning for rectal cancer.
  • Automatic segmentation of organs at risk presents challenges in maintaining dosimetric accuracy.

Purpose of the Study:

  • To explore the development of novel geometric parameters.
  • To establish a strong correlation between these new geometric parameters and established dosimetric parameters in rectal cancer patients.

Main Methods:

  • One hundred rectal cancer patients were included in this study.
  • Organs at risk (bladder, small bowel, femoral heads) were segmented manually and automatically.
  • Dose-distance curves were established and applied to new geometric parameters, with correlation analysis performed on 60 test cases.

Main Results:

  • Dose-distance curves showed an inverse function shape across all organs at risk.
  • High Pearson correlation coefficients were observed between new geometric parameters and dosimetric parameters: bladder (0.96), small intestine (0.97), left femur head (0.88), and right femur head (0.70).

Conclusions:

  • Newly developed geometric parameters, based on distance from the target, demonstrate a significant correlation with dosimetric parameters in rectal cancer.
  • These geometric parameters offer a feasible method for assessing dose deviations arising from automatic segmentation in radiotherapy.