RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • SCOPUSKCI등재

        Letters to the Editor : Computer-aided proximal caries diagnosis correlation with clinical examination and histology

        Kang, Byung-Cheol,Scheetz, James P.,Farman, Allan G. 大韓口腔顎顔面 放射線學會 2003 Imaging Science in Dentistry Vol.33 No.4

        We are writing this letter to correct misimpressions that could arise from a paper your journal recently published concerning Logocon Caries Detector (LCD). Kang et al reported a relatively poor performance for LCD as compared to other studies. However, when compared to the performance of the imdependent team of dentists who evaluated the same tooth surfaces visually without using LCD, one get a much different impression of LCD. Table 1 show the comparison. These visual results were collected as a part of Dr. Kang's study at the University of Louisville School of Dentistry and were included in the draft manuscript, but were unfortunately omitted from the final paper without the knowledge of two of the listed co-authors(AGF and JPS).

      • SCOPUSKCI등재

        Computer-aided proximal caries diagnosis : correlation with clinical examination and histology

        Kang, Byung-Cheol,Scheetz, James P,Farman, Allan G. 大韓口腔顎顔面 放射線學會 2002 Imaging Science in Dentistry Vol.32 No.4

        Purpose : To evaluate the performance of the LOGICON Caries Detector using RVG-4 and RVG-ui sensors, by comparing results of each detector to the results of clinical and histological examinations. Materials and Methods : Pairs of extracted teeth were radiographed, and a total of 57 proximal surfaces, which included both carious and non- carious situations, were analyzed. The RVG-4 produced 8-bit images, while the RVG-ui unit produced 12-bit images, which were taken in the high sensitivity mode. The images produced by the LOGICON were evaluated by a trained observer using both automated and manual caries detection software modes. Ground sections of the teeth established the actual absence or existence of caries. Results : LOGICON-aided caries detection and depth discrimination of the RVG-4 and RVG-ui sensors were equally inconsistent irrespective of whether the LOGICON software was set to the automated or manual mode. Sensitivity ranged from 50% to 57% for caries penetration of the enamel-dentin junction. Conclusion : Care needs to be taken when using LOGICON in conjunction with RVG images as an adjunct for treatment planning dental caries. Even when applied by a trained observer, substantial discrepancies exist between the results of the LOGICON software-guided evaluations using RVG images and histologic examination. (Korean J Oral Maxillofac Radiol 2002; 32 : 187-94)

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼