Evaluating an impedance-based smart drill system in a preliminary human cadaver model

Area of Science:

• Biomedical Engineering
• Surgical Technology
• Dental Implantology

Background:

• Dental implant placement demands high precision to avoid iatrogenic damage to critical anatomical structures like the inferior alveolar nerve and maxillary sinus.
• Real-time impedance sensing using the drill tip offers potential for intraoperative feedback, improving surgical outcomes and minimizing risks.

Purpose of the Study:

• To present the initial findings of an impedance-based smart drill system in a human cadaver model.
• To evaluate the performance of both a benchtop impedance acquisition system and a custom handheld module for intraoperative tissue characterization.

Main Methods:

• Impedance data was collected from 28 teeth (14 mandibular, 14 maxillary) in a cadaver head across 19-51 frequencies.
• Two systems were assessed: a Sciospec impedance acquisition system and a custom small-form factor impedance module integrated with a dental drill.

Main Results:

• Preliminary results show significant impedance differences between low- and high-risk anatomical structures during drilling.
• Both the benchtop and custom handheld systems demonstrated the ability to differentiate tissue types based on electrical properties.

Conclusions:

• The cadaver model is vital for understanding mandibular and maxillary tissue electrical properties for smart drill development.
• This research supports the feasibility of real-time impedance sensing drills for enhanced dental implant treatment safety and accuracy.