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The Establishment of a Murine Mandibular Molar Extraction Socket Healing Model
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Local anesthesia for mandibular third molar extraction.

Chang Kim1, Kyung-Gyun Hwang1, Chang-Joo Park1

  • 1Division of Oral and Maxillofacial Surgery, Department of Dentistry, College of Medicine, Hanyang University, Seoul, Korea.

Journal of Dental Anesthesia and Pain Medicine
|November 8, 2018
PubMed
Summary
This summary is machine-generated.

Optimal anesthesia for mandibular third molar extraction remains unclear. This review examines local anesthesia techniques, anesthetics like articaine, and computer-controlled local anesthetic delivery systems to improve efficacy and reduce complications.

Keywords:
ExtractionLocal AnesthesiaMandibleThird Molar

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Area of Science:

  • Dentistry
  • Anesthesiology

Background:

  • Mandibular third molar extraction is a common dental procedure.
  • The conventional inferior alveolar nerve block has limitations, including a low success rate and potential complications like nerve injury.

Purpose of the Study:

  • To review current local anesthesia techniques for mandibular third molar extraction.
  • To discuss the efficacy of various anesthetics, including articaine.
  • To explore the role of computer-controlled local anesthetic delivery (CCLAD) systems.

Main Methods:

  • Literature review of anesthesia techniques for mandibular third molar extraction.
  • Discussion of anesthetic agents and their properties.
  • Evaluation of computer-controlled local anesthetic delivery systems.

Main Results:

  • The inferior alveolar nerve block is widely used but has suboptimal success rates and risks.
  • Articaine shows promise and is increasingly used in clinical practice.
  • Computer-controlled local anesthetic delivery systems may reduce injection pain.

Conclusions:

  • Further research is needed to establish optimal anesthesia for mandibular third molar extraction.
  • Articaine and CCLAD systems represent potential advancements in dental anesthesia.
  • Improving anesthesia techniques can enhance patient outcomes and reduce procedural risks.