4.4 Article

Epidural Needle Guidance Using Viscoelastic Tissue Response

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JTEHM.2022.3152391

Keywords

Needles; Bones; Probes; Ultrasonic imaging; Strain measurement; Mechanical variables measurement; Stress measurement; Epidural; needle placement; viscoelastic response; machine learning; biomedical engineering

Funding

  1. Department of Electrical Engineering and Computer Science of the University of Michigan
  2. Department of Anesthesiology of the University of Michigan Medical School, Ann Arbor, Michigan, USA
  3. Bosch

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The study developed a system to measure tissue viscoelastic response during epidural needle placement, aiming to provide assistance to clinical providers. Results showed that the system can reliably detect when the needle is close to bone, but does not provide the expected 5mm warning distance. Further technical advances may enhance the system's utility in clinical settings.
Objective: We designed, prototyped, and tested a system that measures the viscoelastic response of tissue using nondestructive mechanical probing, with the goal of aiding clinical providers during epidural needle placement. This system is meant to alert clinicians when an epidural needle is about to strike bone during insertion. Methods: During needle insertion, the system periodically mechanically stimulates and collects viscoelastic response information data from the tissue at the needle's tip using an intra-needle probe. A machine-learning algorithm detects when the needle is close to bone using the series of observed stimulations. Results: Tests run on ex vivo pig spine show that the system can reliably determine if the needle is pointed at and within 3 mm of bone. Conclusion: Our technique can successfully differentiate materials at and in front of the needle's tip. However, it does not provide the 5 mm of forewarning that we believe would be necessary for use in clinical epidural needle placement. The technique may be of use in other applications requiring tissue differentiation during needle placement or in the intended application with further technical advances. Clinical and Translational Impact Statement: This Early/Pre-Clinical Research evaluates the feasibility of a method for helping clinical providers receive feedback during epidural needle insertion-thereby reducing complication rates-without significant alterations from current workflow.

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