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Health Sciences · Dentistry

Dental Radiography and Imaging
Research Guide

What is Dental Radiography and Imaging?

Dental Radiography and Imaging is the application of imaging techniques such as Cone-Beam Computed Tomography (CBCT) in dentistry for diagnostics, radiation dosimetry assessment, maxillofacial radiology, dental implantology, periodontal disease evaluation, and artificial intelligence-aided analysis of dental images.

This field encompasses 67,004 published works focused on CBCT applications in dental imaging and related areas. Key areas include radiation dosimetry, maxillofacial radiology, dental implantology, periodontal disease diagnosis, artificial intelligence for image diagnostics, anatomical landmark detection, third molar surgery planning, and osteoporosis assessment. Growth rate over the last 5 years is not available in the data.

Topic Hierarchy

100%
graph TD D["Health Sciences"] F["Dentistry"] S["Oral Surgery"] T["Dental Radiography and Imaging"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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67.0K
Papers
N/A
5yr Growth
622.4K
Total Citations

Research Sub-Topics

Why It Matters

Dental Radiography and Imaging supports precise diagnosis and treatment in dental implantology, where Albrektsson et al. (1986) proposed success criteria for implants assessed via imaging, achieving long-term efficacy in types like subperiosteal and blade-vent implants with 3692 citations reflecting clinical impact. In periodontal disease management, Papapanou et al. (2018) introduced a staging and grading system reliant on radiographic evaluation, grouping chronic and aggressive forms under periodontitis for improved treatment planning, cited 3015 times. CBCT imaging aids third molar surgery and osteoporosis assessment by providing detailed maxillofacial views, while AI enhances anatomical landmark detection, directly influencing outcomes in oral surgery and implant procedures across dentistry.

Reading Guide

Where to Start

'The long-term efficacy of currently used dental implants: a review and proposed criteria of success' by Albrektsson et al. (1986), as it provides foundational criteria for implant success evaluated through imaging, essential for understanding CBCT's role in implantology.

Key Papers Explained

Albrektsson et al. (1986) in 'The long-term efficacy of currently used dental implants: a review and proposed criteria of success' builds on Albrektsson et al. (1981) 'Osseointegrated Titanium Implants: Requirements for Ensuring a Long-Lasting, Direct Bone-to-Implant Anchorage in Man' by applying success criteria to imaging-assessed implants like blade-vent. Papapanou et al. (2018) 'Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions' extends this to periodontal staging using radiographic grading, linking to Löe (1967) 'The Gingival Index, the Plaque Index and the Retention Index Systems' for complementary indices. Vertucci (1984) 'Root canal anatomy of the human permanent teeth' adds root anatomy details via radiography.

Paper Timeline

100%
graph LR P0["The Gingival Index, the Plaque I...
1967 · 3.6K cites"] P1["The Plaque Control Record
1972 · 2.5K cites"] P2["Osseointegrated Titanium Implant...
1981 · 2.6K cites"] P3["The long-term efficacy of curren...
1986 · 3.7K cites"] P4["The burden of oral disease: chal...
2005 · 3.6K cites"] P5["Standardized nomenclature, symbo...
2012 · 2.5K cites"] P6["Periodontitis: Consensus report ...
2018 · 3.0K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P3 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Current frontiers emphasize AI for CBCT image diagnostics and anatomical landmark detection in implantology and periodontal disease, with ongoing work in radiation dosimetry optimization for third molar surgery and osteoporosis assessment, though no recent preprints or news are available.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 The long-term efficacy of currently used dental implants: a re... 1986 PubMed 3.7K
2 The Gingival Index, the Plaque Index and the Retention Index S... 1967 The Journal of Periodo... 3.6K
3 The burden of oral disease: challenges to improving oral healt... 2005 PubMed 3.6K
4 Periodontitis: Consensus report of workgroup 2 of the 2017 Wor... 2018 Journal of Periodontology 3.0K
5 Osseointegrated Titanium Implants:<i>Requirements for Ensuring... 1981 Acta Orthopaedica Scan... 2.6K
6 Standardized nomenclature, symbols, and units for bone histomo... 2012 Journal of Bone and Mi... 2.5K
7 The Plaque Control Record 1972 Journal of Periodontology 2.5K
8 Occlusal Caries: Biological Approach for Its Diagnosis and Man... 2016 Caries Research 2.1K
9 Root canal anatomy of the human permanent teeth 1984 Oral Surgery Oral Medi... 2.1K
10 The microbiota associated with successful or failing osseointe... 1987 Oral Microbiology and ... 2.0K

Frequently Asked Questions

What role does CBCT play in dental implantology?

CBCT provides detailed three-dimensional imaging for planning and evaluating dental implants. Albrektsson et al. (1986) in 'The long-term efficacy of currently used dental implants: a review and proposed criteria of success' applied imaging-based criteria to assess implant types like subperiosteal and blade-vent. This supports long-term anchorage as shown in osseointegration studies.

How is imaging used in periodontal disease diagnosis?

Imaging techniques like CBCT aid in staging and grading periodontitis. Papapanou et al. (2018) in 'Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions' unified chronic and aggressive forms using multi-dimensional radiographic assessment. This classification guides treatment based on disease extent.

What is the scope of dental radiography research?

Research covers 67,004 papers on CBCT, radiation dosimetry, maxillofacial radiology, implantology, periodontal disease, AI diagnostics, anatomical landmarks, third molar surgery, and osteoporosis. Indices like the Gingival Index by Löe (1967) complement imaging for plaque and retention evaluation. Vertucci (1984) detailed root canal anatomy via radiographic methods.

How does AI apply to dental imaging?

Artificial intelligence analyzes dental images for diagnostics and anatomical landmark detection. It supports CBCT evaluations in implantology and periodontal disease. This enhances accuracy in maxillofacial radiology and third molar surgery planning.

What are key metrics in dental implant imaging?

Albrektsson et al. (1981) in 'Osseointegrated Titanium Implants: Requirements for Ensuring a Long-Lasting, Direct Bone-to-Implant Anchorage in Man' used imaging to study 2895 mandibular/maxillary and 124 other bone implants. Success relies on bone-to-implant anchorage without cement. Criteria from Albrektsson et al. (1986) standardize radiographic evaluation.

Why is radiation dosimetry important in dental radiography?

Radiation dosimetry measures exposure in CBCT and other imaging to minimize risks. It is critical in maxillofacial radiology and frequent applications like implantology and periodontal assessments. Data ensures safe use in osteoporosis and third molar evaluations.

Open Research Questions

  • ? How can CBCT radiation doses be further minimized while preserving diagnostic accuracy in periodontal disease staging?
  • ? What AI architectures best detect anatomical landmarks in diverse dental CBCT scans?
  • ? Which radiographic protocols optimize third molar surgery outcomes and reduce complications?
  • ? How does CBCT imaging improve osteoporosis assessment specificity in maxillofacial regions?
  • ? What integration of AI with CBCT enhances real-time diagnostics in dental implantology?

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