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Related Experiment Videos

Automatic embolus detection compared with human experts. A Doppler ultrasound study

E V Van Zuilen1, W H Mess, C Jansen

  • 1Department of Clinical Neurophysiology, St Antonius Hospital, Nieuwegein, Utrecht, Netherlands.

Stroke
|October 1, 1996
PubMed
Summary

Automatic embolus detection software shows variable agreement with human observers for identifying microembolic signals (MES) during transcranial Doppler (TCD) monitoring. Expert human supervision remains essential for accurate MES detection in carotid artery stenosis patients.

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Area of Science:

  • Neurology
  • Medical Ultrasound
  • Biomedical Engineering

Background:

  • Transcranial Doppler (TCD) ultrasound is effective for detecting microembolic signals (MES).
  • Manual TCD monitoring is labor-intensive and requires significant cognitive effort.
  • Automated software aims to streamline MES detection in clinical practice.

Purpose of the Study:

  • To evaluate the efficacy of stand-alone automatic embolus detection software in identifying MES.
  • To compare the performance of different software systems against experienced human observers.

Main Methods:

  • Analysis of ten TCD recordings from patients with symptomatic high-grade carotid artery stenosis.
  • Comparison of MES detection by four human observers and three automated software devices (RB11, Pioneer, Embotec).

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  • Agreement assessed using kappa statistics, with MES presence defined by consensus among at least three observers.

    • Main Results:

    • High interobserver agreement among human experts (kappa .94–.99).
    • Variable agreement between software and observers (kappa .18–.93), with RB11 and Embotec performing better than Pioneer.
    • Sensitivities for MES detection: RB11 (70%), Embotec (62%), Pioneer (44%).

    Conclusions:

    • While automated software shows potential, agreement with expert observers is inconsistent.
    • RB11 and Embotec demonstrated better performance than Pioneer in detecting MES.
    • Continued expert human oversight is crucial for reliable MES assessment in TCD monitoring.