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Related Concept Videos

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

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Related Experiment Video

Updated: May 9, 2026

Spatial Measurements of Perfusion, Interstitial Fluid Pressure and Liposomes Accumulation in Solid Tumors
09:00

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Published on: August 18, 2016

A fast nonlinear regression method for estimating permeability in CT perfusion imaging.

Edwin Bennink1, Alan J Riordan, Alexander D Horsch

  • 1Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|July 25, 2013
PubMed
Summary

A simplified nonlinear regression (NLR) method offers a faster and reliable way to estimate blood-brain barrier permeability in acute ischemic stroke patients. This new approach maintains precision for clinical application, improving upon traditional methods.

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Area of Science:

  • Neurology
  • Medical Imaging
  • Biophysics

Background:

  • Blood-brain barrier (BBB) damage is a key indicator of hemorrhagic transformation risk in acute ischemic stroke.
  • Vascular permeability is a common metric for BBB damage, often assessed using computed tomography (CT) perfusion data.
  • Current Patlak analysis for permeability estimation lacks precision, while advanced nonlinear regression (NLR) methods are too time-consuming for acute settings.

Purpose of the Study:

  • To evaluate the reliability of 12 variations of Patlak analysis and NLR methods for estimating vascular permeability.
  • To introduce and validate a simplified NLR method for improved speed and precision in acute stroke assessment.
  • To compare the confidence intervals and computational time of different permeability estimation techniques.

Main Methods:

  • Simulated CT attenuation-time curves with realistic noise were used to assess confidence intervals.
  • Clinical data from 20 acute ischemic stroke patients were analyzed.
  • Variations of Patlak analysis and NLR methods, including a novel simplified NLR approach, were applied and compared.

Main Results:

  • Nonlinear regression (NLR) methods provided significantly more reliable permeability estimates than Patlak analysis.
  • Fixating blood volume improved Patlak analysis but did not match NLR reliability.
  • The simplified NLR method achieved similar confidence intervals to other NLR methods but was approximately four times faster.

Conclusions:

  • The simplified NLR method offers a reliable and clinically applicable approach for estimating vascular permeability in acute ischemic stroke.
  • This method is sufficiently fast for use in acute stroke settings, overcoming limitations of existing techniques.
  • The simplified NLR method represents a significant advancement in the precise and timely assessment of BBB integrity in stroke patients.