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Related Experiment Videos

Liver blood flow: non-invasive estimation using a gamma camera.

W B Tindale1, D C Barber, H L Smart

  • 1Department of Medical Physics, Royal Hallamshire Hospital, Sheffield.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|January 1, 1992
PubMed
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A novel radioisotope technique non-invasively measures total liver blood flow (TBF) using technetium-99m tracers. This method accurately determines arterial and portal contributions to liver perfusion.

Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Physiology

Background:

  • Accurate measurement of total liver blood flow (TBF) is crucial for diagnosing and managing various liver diseases.
  • Existing methods for assessing liver perfusion may be invasive or lack precision.
  • Non-invasive techniques are needed to reliably quantify hepatic hemodynamics.

Purpose of the Study:

  • To describe a new non-invasive radioisotope technique for measuring total liver blood flow (TBF).
  • To determine the arterial and portal contributions to liver blood flow using computer analysis.
  • To validate the technique in a cohort of subjects.

Main Methods:

  • Intravenous administration of two tracers: technetium-99m human serum albumin (99mTc-HSA) and 99mTc colloid.

Related Experiment Videos

  • Computer analysis of first-pass time activity curves of 99mTc-HSA in liver and lung tissues.
  • Correction for attenuation using colloid distribution images to determine TBF.

    • Main Results:

    • The technique successfully measured TBF by quantifying arterial and portal flow contributions.
    • Attenuation correction using colloid distribution improved the accuracy of TBF measurements.
    • The method was demonstrated in 17 subjects, showing its practical applicability.

    Conclusions:

    • This non-invasive radioisotope method provides a reliable way to measure total liver blood flow.
    • The technique allows for the differentiation of arterial and portal blood supply to the liver.
    • Potential applications include clinical diagnosis, treatment monitoring, and research in liver diseases.