Cited by 1,673Barrier Structure and Function StudiesMedical Imaging Techniques and ApplicationsDrug Transport and Resistance Mechanisms

Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data. Generalizations

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Patlak, Clifford S., Blasberg, Ronald G.·1985·Journal of Cerebral Blood Flow & Metabolism

Abstract

The method of graphical analysis for the evaluation of sequential data (e.g., tissue and blood concentrations over time) in which the test substance is irreversibly trapped in the system has been expanded. A simpler derivation of the original analysis is presented. General equations are derived that can be used to analyze tissue uptake data when the blood–plasma concentration of the test substance cannot be easily measured. In addition, general equations are derived for situations when trapping of the test substance is incomplete and for a combination of these two conditions. These derivations are independent of the actual configuration of the compartmental system being analyzed and show what information can be obtained for the period when the reversible compartments are in effective steady state with the blood. This approach is also shown to result in equations with at least one less nonlinear term than those derived from direct compartmental analysis. Specific applications of these equations are illustrated for a compartmental system with one reversible region (with or without reversible binding) and one irreversible region.

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Registry

Crossref · 10.1038/jcbfm.1985.87

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Patlak analysis allows detection of subtle changes in BBB permeability.

    “These studies used Patlak analysis (46, 47, 466), which allows detection of subtle changes in BBB permeability (46, 248, 418, 421).”

    From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [466]

    The Analysis section describes using the graphical method to estimate a blood-to-brain transfer constant, and the paper identifies blood–brain barrier studies as an application. It does not establish that the method can detect *subtle* changes in barrier permeability. Page numbers are unavailable in our copy. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

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Authors
Patlak, C. S., & Blasberg, R. G.
Affiliations
  • National Institute of Mental Health (US)
  • National Institutes of Health (US)
Venue
Journal of Cerebral Blood Flow & Metabolism
Published
1985-12
Volume
5
Issue
4
Pages
584-590
ISSN
  • 0271-678X (ISSN-L)
  • 1559-7016
OpenAlex
W2051228374
Cited by
1,673
References
1
Citations by year
2026: 30 · 2025: 46 · 2024: 52 · 2023: 53 · 2022: 59 · 2021: 68 · 2020: 69 · 2019: 47 · 2018: 73 · 2017: 62 · 2016: 54 · 2015: 47 · 2014: 53 · 2013: 68 · 2012: 50
FWCI
1.75
Type
journal article
Language
en
Open access
Locations
  • Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
Keywords
graphical method, reversible binding, compartmental analysis, steady state, cerebral perfusion
MeSH terms
Animals, Blood-Brain Barrier, Brain, Deoxyglucose, Humans, Mathematics, Models, Cardiovascular

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