The Dependence of Glomerular Capillary Hemorrhage Induced by Contrast Enhanced Diagnostic Ultrasound on Microbubble

Douglas L Miller1, Xiaofang Lu1, Chunyan Dou1

  • 1Department of Radiology, University of Michigan Health System, Ann Arbor, Michigan, USA.

Insights

Researchers tested a model for microbubble (MB) bioeffects in tissue. The study found that MB size impacts glomerular capillary hemorrhage in rat kidneys, supporting the two-criterion model.

Area of Science:

  • Biomedical Engineering
  • Ultrasound Physics
  • Nephrology

Background:

  • Microbubbles (MBs) are used as contrast agents in diagnostic ultrasound.
  • Understanding MB bioeffects, such as cavitational bioeffects, is crucial for safe ultrasound applications.
  • A two-criterion model for MB-associated bioeffects has been proposed.

Purpose of the Study:

  • To test a recently proposed two-criterion model for cavitational bioeffects in tissue using microbubbles (MBs).
  • To investigate the relationship between microbubble size, ultrasound frequency, and glomerular capillary hemorrhage in rat kidneys.

Main Methods:

  • Glomerular capillary hemorrhage was induced in rat kidneys using microbubble suspensions (1.6, 3.1, and 5.5 µm).
  • Diagnostic ultrasound was applied at 3.6 MHz and 5.5 MHz with varying power settings.
  • Petechial hemorrhage was quantified on kidney surfaces, and glomeruli were assessed via histology.

Main Results:

  • Hemorrhage thresholds were similar for large and medium MBs but higher for small MBs.
  • At 5.5 MHz, medium MBs showed a higher hemorrhage threshold than large MBs in histology.
  • Observed pressure amplitude thresholds aligned with theoretical predictions.
  • Optimal MB size counterintuitively increased with ultrasound frequency, as predicted by the model.

Conclusions:

  • The findings support the two-criterion model for microbubble-associated capillary hemorrhage.
  • Microbubble size and ultrasound frequency are critical factors influencing cavitational bioeffects.
  • The study provides valuable insights into the mechanisms of ultrasound-induced tissue bioeffects.

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