Literature DB >> 19937409

Compartmental analysis and its manifold applications to pharmacokinetics.

Aldo Rescigno1.   

Abstract

In this paper, I show how the concept of compartment evolved from the simple dilution of a substance in a physiological volume to its distribution in a network of interconnected spaces. The differential equations describing the fate of a substance in a living being can be solved, qualitatively and quantitatively, with the help of a number of mathematical techniques. A number of parameters of pharmacokinetic interest can be computed from the experimental data; often, the data available are not sufficient to determine some parameters, but it is possible to determine their range.

Mesh:

Year:  2009        PMID: 19937409      PMCID: PMC2811643          DOI: 10.1208/s12248-009-9160-x

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  8 in total

1.  The rise and fall of compartmental analysis.

Authors:  A Rescigno
Journal:  Pharmacol Res       Date:  2001-10       Impact factor: 7.658

2.  A linear method for determining liver sinusoidal and extravascular volumes.

Authors:  C A GORESKY
Journal:  Am J Physiol       Date:  1963-04

3.  Flow diagrams of multi-compartment systems.

Authors:  A RESCIGNO
Journal:  Ann N Y Acad Sci       Date:  1963-05-10       Impact factor: 5.691

4.  Theorems on linear systems.

Authors:  J Z HEARON
Journal:  Ann N Y Acad Sci       Date:  1963-05-10       Impact factor: 5.691

5.  The theory of tracer experiments with 131I-labelled plasma proteins.

Authors:  C M MATTHEWS
Journal:  Phys Med Biol       Date:  1957-07       Impact factor: 3.609

6.  On the use of pharmacokinetic models.

Authors:  Aldo Rescigno
Journal:  Phys Med Biol       Date:  2004-10-07       Impact factor: 3.609

7.  Estimation of permanence time, exit time, dilution factor, and steady-state volume of distribution.

Authors:  J Mordenti; A Rescigno
Journal:  Pharm Res       Date:  1992-01       Impact factor: 4.200

8.  The use and abuse of models.

Authors:  A Rescigno; J S Beck
Journal:  J Pharmacokinet Biopharm       Date:  1987-06
  8 in total
  2 in total

1.  Deconvolution Analysis by Non-linear Regression Using a Convolution-Based Model: Comparison of Nonparametric and Parametric Approaches.

Authors:  Roberto Gomeni; Françoise Bressolle-Gomeni
Journal:  AAPS J       Date:  2019-12-09       Impact factor: 4.009

2.  Comparison of Alternative Population Modeling Approaches for Implementing a Level A IVIVC and for Assessing the Time-Scaling Factor Using Deconvolution and Convolution-Based Methods.

Authors:  Roberto Gomeni; Françoise Bressolle-Gomeni
Journal:  AAPS J       Date:  2020-04-15       Impact factor: 4.009

  2 in total

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