대한치과보철학회지 (The Journal of Korean Academy of Prosthodontics)

  • 제62권4호
  • /
  • Pages.357-365
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  • 2024
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  • 0301-2875(pISSN)
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  • 2005-3789(eISSN)
대한치과보철학회 (The Korean Academy of Prosthodonitics)
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골격성 3급 부정교합 환자의 디지털 진단모형을 이용한 전악 고정성 보철수복 증례

Full arch rehabilitation using a digital diagnostic model in a patient with skeletal class III malocclusion

  • 김세현 (서울대학교 치의학대학원 치과보철학교실) ;
  • 권호범 (서울대학교 치의학대학원 치과보철학교실) ;
  • 김명주 (서울대학교 치의학대학원 치과보철학교실) ;
  • 임영준 (서울대학교 치의학대학원 치과보철학교실)
  • Se-Hyoun Kim (Department of Prosthodontics, School of Dentistry, Seoul National University) ;
  • Ho-Beom Kwon (Department of Prosthodontics, School of Dentistry, Seoul National University) ;
  • Myung-Joo Kim (Department of Prosthodontics, School of Dentistry, Seoul National University) ;
  • Young-Jun Lim (Department of Prosthodontics, School of Dentistry, Seoul National University)
  • 투고 : 2024.08.12
  • 심사 : 2024.09.09
  • 발행 : 2024.10.31
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초록

구강 및 안면 스캔의 3D 이미지 데이터를 활용하여 가상 환자를 생성할 수 있다. 술자는 구강 및 안면 스캔 데이터를 연계하여 교합 평면과 전치부의 심미적 위치 및 형태를 평가할 수 있다. 이를 통해 심미적 보철 치료의 예측 가능성을 확보하고, 교합 간섭 및 조정의 가능성을 줄이며, 진단 과정에서 환자와의 효과적인 의사소통이 가능하다. 본 증례 보고에서는 골격성 III급 부정교합을 가진 환자로 진단 단계에서 구강 및 안면 스캔을 통해 가상 환자를 생성하였고, 이를 기반으로 보철물을 설계하고 제작한 결과, 심미적 및 기능적으로 만족스러운 결과를 얻을 수 있어 보고하는 바이다.

By utilizing 3D image data from oral and facial scans, virtual patients can be created, allowing clinicians to accurately assess the occlusal plane and the aesthetic position and form of anterior teeth in relation to facial scan data. This integration enhances the predictability of aesthetic prosthetic treatments, reduces the potential for occlusal interferences and adjustments, and facilitates effective communication with patients during the diagnostic process. In this case report, a patient with skeletal Class III malocclusion had both oral and facial scans to generate a virtual patient during the diagnostic phase. Based on this virtual model, prostheses were designed and fabricated, resulting in an efficient and clinically satisfactory outcome both aesthetically and functionally.

키워드

참고문헌

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