권호기사보기
| 기사명 | 저자명 | 페이지 | 원문 | 기사목차 |
|---|
결과 내 검색
동의어 포함
Purpose: Physiological dentin sclerosis is a distinctive phenomenon observed in transverse sections of the tooth root as a tooth ages. Since this effect has only been visualized 2-dimensionally, this pilot proof-of-concept study aimed to propose a novel method to visualize and quantify physiological sclerotic dentin 3-dimensionally using density-based micro-computed tomography (CT)-generated gray values.
Materials and Methods: Forty single-rooted premolars of known chronological age from the Malay male population were scanned with a micro-CT scanner. The X-ray source was operated at 160 kV, 100 μA, and a voxel size of 48.8 μm. Three-dimensional volume datasets for each tooth were reconstructed, and volumetric analysis was performed on the root dentin region using the open-source software FIJI (ImageJ) (ver. 1.54k, National Institutes of Health, Bethesda, USA). Results: Micro-CT imaging enabled the selection, isolation, and quantification of high-density areas in the tooth root that correspond to physiological sclerotic dentin. The generated gray value profile also reflected the characteristic butterfly-shaped pattern seen in transverse root sections. A comparison of premolars from different age groups revealed that individuals aged 31-60 years exhibited a larger butterfly-shaped area, reflecting the increase in high-density sclerotic dentin, compared with younger premolars.
Conclusion: In this pilot proof-of-concept study, visualization and measurement of physiological sclerotic dentin were shown to be feasible using micro-CT. However, the method is highly dependent on the capability of the micro-CT scanner and the performance of the image-processing software. Further research is needed to improve image quality using advanced micro-CT scanning techniques.| 기사명 | 저자명 | 페이지 | 원문 | 목차 |
|---|---|---|---|---|
| Artificial intelligence for detection and classification of furcation defects using radiographic imaging : a systematic review | Georgios S. Chatzopoulos, Vasiliki P. Koidou, Lazaros Tsalikis, Eleftherios G. Kaklamanos | p. 322-334 | ||
| Noise-optimized cone-beam computed tomographic imaging of different post materials with multiple settings : a comparative analysis | Solaleh Shahmirzadi, Dilek Helvacioglu-Yigit, Umut Seki, Maharaj Singh, Sarang Saadat, Husniye Demirturk | p. 335-342 | ||
| Deep learning-based method for estimating age from periapical radiographs of upper incisors in a Thai population | Praewpannarai Khruasarn, Kasemsit Teeyapan, Sangsom Prapayasatok, Sakarat Nalampang | p. 343-350 | ||
| Efficacy of deep learning models and dental professionals in identifying dental implants | Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli, Rohit C. Sukhasare | p. 351-360 | ||
| Evaluation and comparison of contrast-to-noise ratio generated by lithium disilicate and zirconia : a phantom study | Ben Philip Sylvan Bartlett, Hassem Geha, Rujuta Katkar, Taraneh Maghsoodi-Zahedi, John Patrick Hanlon | p. 361-368 | ||
| Assessment of the type and length of separated endodontic instruments in root-filled mandibular molars : a comparative study using digital periapical radiographs and CBCT | Diego Filipe Bezerra Silva, Viviane Costa Silva, Márcia Nóbrega Lopes, Luiz Eduardo Marinho-Vieira, Douglas Pereira de Sousa, Jussara da Silva Barbosa, Fabiana T. Almeida, Patrícia Meira Bento, Rocharles Cavalcante Fontenele, Daniela Pita de Melo | p. 369-376 | ||
| Radiomorphometric indices and bone findings on panoramic images of childhood cancer survivors | Ana Maria Ipólito Barros, Ana Paula Veras Sobral, Luiz Pedro Mendes de Azevedo, Cleomar Donizeth Rodrigues, Híttalo Carlos Rodrigues de Almeida, Márcia Maria Fonseca da Silveira | p. 377-384 | ||
| Visualizing physiological sclerotic dentin via micro-computed tomography : a pilot study | Muhammad Zaid Zainuddin, Noor Shafini Mohamad, Su Keng Tan, Nurul Ain Ramlan, Mohd Yusmiaidil Putera Mohd Yusof | p. 385-391 | ||
| Effects of exposure time and voxel size on measured alveolar bone thickness in cone-beam computed tomography : an ex vivo animal study using a pig model | Graham Garvey, Werner Harumiti Shintaku, Wanda I. Claro, Anastasios Karydis, Chenhao Zhao, Ayman Al Dayeh | p. 392-399 | ||
| Identification of key measurement points for accurate surface radiation dose assessment in cephalometric radiography | Muhammed Ilhan, Roman Menz, Carlalberta Verna, Michael M. Bornstein, Dorothea C. Dagassan-Berndt | p. 400-408 | ||
| Influence of increased slice thickness and sharpening filter application in the detection of bone graft loss around implants | Débora Costa Ruiz, Matheus Barros-Costa, Michelle Chang, Henrique Mateus Alves Felizardo, Hugo Gaêta-Araujo, Deborah Queiroz Freitas | p. 409-416 | ||
| Comparison of the nasal complex in individuals with and without cleft lip and palate using cone-beam computed tomography | Panchanok Kaiyasuan, Rajda Chaichit, Saowaluck Limmonthol, Pipop Sutthiprapaporn | p. 417-431 |
*표시는 필수 입력사항입니다.
| 전화번호 |
|---|
| 기사명 | 저자명 | 페이지 | 원문 | 기사목차 |
|---|
| 번호 | 발행일자 | 권호명 | 제본정보 | 자료실 | 원문 | 신청 페이지 |
|---|
도서위치안내: 정기간행물실(524호) / 서가번호: 국내17
2021년 이전 정기간행물은 온라인 신청(원문 구축 자료는 원문 이용)
우편복사 목록담기를 완료하였습니다.
*표시는 필수 입력사항입니다.
저장 되었습니다.