치아마모의 진단
Tooth wear is gradually increasing with increasing life expectancy. In particular, it is important to establish a treatment plan in the early stages so that it does not proceed to moderate or severe wear stages. It is essential to diagnose tooth wear accurately in order to plan a treatment for it. T...
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Published in | Journal of dental rehabilitation and applied science Vol. 35; no. 3; pp. 113 - 122 |
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Main Authors | , , , , |
Format | Journal Article |
Language | Korean |
Published |
대한턱관절교합학회
2019
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Subjects | |
Online Access | Get full text |
ISSN | 2384-4353 2384-4272 |
DOI | 10.14368/jdras.2019.35.3.113 |
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Summary: | Tooth wear is gradually increasing with increasing life expectancy. In particular, it is important to establish a treatment plan in the early stages so that it does not proceed to moderate or severe wear stages. It is essential to diagnose tooth wear accurately in order to plan a treatment for it. There are many risk factors including age, diet, and drugs which affects tooth wear. For the diagnosis of a tooth wear, appropriate index and evaluation method should be used. There were various tooth wear indices such as TWI, Lussi index, BEWE, and TWES. The evaluation method includes clinical examination, dental cast examination and clinical photographs. Recently, a 3D scanner is being used to assess tooth wear. The risk factors, tooth wear evaluation system, the methods of measuring tooth wear, and related literature were reviewed. The strengths and weaknesses of each index and evaluation methods were compared to derive a proper way to diagnose tooth wear. 치아마모는 수명증가에 따라 점차 빈도가 증가하는 추세이다. 특히 초기마모 상태에서 치료계획을 잘 수립하여 중등도 마모로 진행하지 않도록 치료계획을 세우는 것이 중요하다. 치아마모의 치료계획을 수립하기 위해서는 치아마모를 정확하게 진단하는 것이 중요하다. 치아마모에 영향을 주는 위험인자는 나이, 식단, 약물 등이 있다. 치아마모를 진단하기 위해 적절한 지표와 평가법을 선택해야 한다. 치아마모 측정지표들은 TWI, Lussi index, BEWE, TWES 등이 존재하며 치아마모 평가방법은 직접관찰법, 치아모형, 임상사진을 이용하는 방법이 있다. 최근 스캐너를 이용한 치아마모 평가법도 소개되고 있다. 치아마모의 위험요소, 측정지표 및 측정방법들과 이와 관련된 문헌들을 고찰하여 각 측정지표와 방법들의 장단점을 비교하여 치아마모를 적절히 진단할 수 있는 방법에 대해 도출해 보았다. |
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Bibliography: | KISTI1.1003/JNL.JAKO201928951542787 |
ISSN: | 2384-4353 2384-4272 |
DOI: | 10.14368/jdras.2019.35.3.113 |