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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
Published on: January 28, 2020
Computer-assisted vs conventional local anesthesia in impacted mandibular third molar surgery: a split-mouth
1Research Assistant, Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey.
Journal of Stomatology, Oral and Maxillofacial Surgery
|August 5, 2026
Summary
Computer-assisted local anesthesia (CALAS) significantly reduced pain and anxiety during impacted mandibular third molar surgery compared to conventional local anesthesia (CLA). CALAS offers a more controlled anesthetic delivery, improving patient outcomes and satisfaction in dental procedures.
Area of Science:
- Dentistry
- Oral and Maxillofacial Surgery
- Anesthesiology
Background:
- Impacted mandibular third molar surgery (IMTMS) frequently involves significant pain and anxiety.
- Managing patient discomfort is crucial for successful surgical outcomes.
Purpose of the Study:
- To compare the efficacy of computer-assisted local anesthesia system (CALAS) versus conventional local anesthesia (CLA) in managing pain, anxiety, and hemodynamic changes during IMTMS.
Main Methods:
- A prospective, randomized, split-mouth clinical trial involving 40 patients with bilateral impacted mandibular third molars.
- Pain and anxiety were assessed using validated scales (VAS-P, VAS-A, STAI-S, MDAS, DFS).
- Hemodynamic parameters (RR, PR, BP, SpO₂) were monitored throughout the procedures.
Main Results:
- CALAS demonstrated significantly lower postoperative pain and anxiety scores compared to CLA (VAS-P: 1.90±0.87 vs 6.62±1.59; VAS-A: 2.40±1.79 vs 6.75±1.67).
- Hemodynamic parameters showed less pronounced increases during CALAS sessions.
- Patients reported higher satisfaction with CALAS for pain and anxiety reduction.
Conclusions:
- CALAS may be more effective than CLA in mitigating pain and anxiety during IMTMS.
- The benefits of CALAS may stem from controlled anesthetic delivery, leading to improved patient comfort and physiological stability.
- Further research with larger sample sizes is warranted to confirm these findings.