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Toward optoacoustic sciatic nerve detection using an all-fiber interferometric-based sensor for endoscopic smart
Hervé Nguendon Kenhagho1, Ferda Canbaz1, Alois Hopf2
1Biomedical Laser and Optics Group (BLOG), Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
Lasers in Surgery and Medicine
|September 4, 2021
Summary
Acoustic shock waves (ASWs) can accurately classify sciatic nerve tissue during laser surgery. This technique offers a new method for preserving nerves and preventing damage in surgical procedures.
Area of Science:
- Biomedical Engineering
- Surgical Technology
- Acoustic Physics
Background:
- Efficient tissue classification is crucial in laser surgery to prevent unintended damage.
- Current methods may lack the precision needed for delicate nerve tissue.
- Investigating novel methods for real-time tissue identification is essential.
Observation:
- Acoustic shock waves (ASWs) were generated using a laser ablation system.
- A fiber-coupled Fabry-Pérot sensor measured ASWs from various porcine tissues.
- Principal component analysis (PCA) and artificial neural networks were employed for classification.
Findings:
- Sciatic nerve tissue was classified with high accuracy (95.78%) using ASWs.
- The area under the ROC curve (AUC) reached 99.58%, indicating excellent performance.
- The developed model demonstrated robust classification capabilities for nerve tissue.
Implications:
- ASWs show significant potential for the remote classification of nerve and other tissues.
- This technique could form the basis of a feedback system for endoscopic laser surgery.
- Enabling precise nerve detection and preservation during surgical interventions.
