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The Establishment of a Murine Mandibular Molar Extraction Socket Healing Model
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Modified difficult index adding extremely difficult for fully impacted mandibular third molar extraction.

Jae-Young Kim1, Hae-Sung Yong1, Kwang-Ho Park1

  • 1Department of Oral and Maxillofacial Surgery, Gangnam Severance Hospital, Yonsei University College of Dentistry, Seoul, Korea.

Journal of the Korean Association of Oral and Maxillofacial Surgeons
|January 23, 2020
PubMed
Summary
This summary is machine-generated.

This study validates a new classification for impacted mandibular third molars, proposing an enhanced difficulty index that incorporates patient age for more accurate clinical assessment.

Keywords:
ClassificationImpacted toothThird molarTooth extraction

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Area of Science:

  • Dentistry
  • Oral Surgery

Background:

  • Assessing the difficulty of impacted mandibular third molar extraction is crucial for surgical planning.
  • Existing classification systems may not fully capture all relevant clinical factors.

Purpose of the Study:

  • To evaluate the validity of current impacted mandibular third molar classification and difficulty index.
  • To propose a more practical and clinically applicable classification system.

Main Methods:

  • 204 impacted mandibular third molars in 154 patients were analyzed using panoramic x-rays.
  • Classification included spatial relationship, depth, and ramus relationship, with a difficulty index based on total points.
  • Intra-observer reliability was assessed with measurements taken one month apart.

Main Results:

  • The study demonstrated good agreement for total points (0.855) and difficulty index (0.746).
  • Most cases (73.0%) were classified as moderately difficult.
  • Extremely difficult cases (6.4%) were associated with older patients (P<0.05).

Conclusions:

  • The existing three-step difficulty index for impacted mandibular third molars requires refinement.
  • A proposed enhanced classification suggests incorporating patient age into the difficulty evaluation for improved clinical accuracy.