Computed tomography-guided 3D printed patient-specific regional anesthesia

Area of Science:

• Dental Anesthesiology
• Medical Imaging
• 3D Printing Technology

Background:

• Traditional inferior alveolar, lingual, and long buccal nerve blocks rely on palpation and anatomical correlation for anesthetic deposition.
• These methods can lead to inaccuracies, patient discomfort, and potential nerve damage.
• Optimizing anesthetic delivery is crucial for effective pain management in dental procedures.

Observation:

• Computed tomography (CT) data was used to create a 3D-printed surgical guide.
• The guide facilitates accurate and repeatable deposition of local anesthetic.
• The anatomical location for optimal anesthetic deposition was precisely defined.

Findings:

• The 3D-printed guide enables precise localization for mandibular anesthesia.
• This technique has the potential to significantly reduce patient discomfort and the risk of nerve injury.
• It also aims to decrease the incidence of failed nerve blocks and reduce the overall anesthetic dose required.

Implications:

• This method offers a more accurate and safer approach to regional anesthesia in the oral cavity.
• It provides a foundational framework for future robot-guided anesthesia administration.
• Potential to enhance patient outcomes and procedural efficiency in dentistry.