ArticleClinical oral investigations2017
Radiographic diagnosis of proximal caries-influence of experience and gender of the dental staff.
Article in Clinical oral investigations, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 43 citations in OpenAlex.
- Artificial intelligence-assisted training for proximal caries diagnosis by undergraduate dental students: a randomized experimental study.BMC medical education · 2026Trial
- Deep learning versus general dentists: a clinical evaluation of caries diagnostic accuracy on bitewing radiographs.BMC oral health · 2026Article
- Deep learning-based caries lesion classification of primary teeth using bitewing radiographs and its comparison with dental professionals.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Article
- Identification and evaluation of radiographic interpretation errors among undergraduate dental students.Medical education online · 2025Article
- Evaluation of Caries Detection on Bitewing Radiographs: A Comparative Analysis of the Improved Deep Learning Model and Dentist Performance.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2025Article
- Radiodiagnostics of standard orthodontic radiographs-dental and extradental incidental findings : Do we see everything we should see?Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2024Article
- Developing the Benchmark: Establishing a Gold Standard for the Evaluation of AI Caries Diagnostics.Journal of clinical medicine · 2024Article
- Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists.Clinical oral investigations · 2024Article
- Diffuse Reflectance Spectroscopy as a Novel Method of Caries Detection-An In Vitro Comparative Study in Permanent Teeth.Diagnostics (Basel, Switzerland) · 2023Article
- EVIDENCE-PRACTICE GAP IN TREATMENT DECISIONS ABOUT DEFECTIVE COMPOSITE AND AMALGAM RESTORATIONS AMONG BRAZILIAN DENTISTS.Brazilian journal of oral sciences · 2023Article
- Application and Performance of Artificial Intelligence Technology in Detection, Diagnosis and Prediction of Dental Caries (DC)-A Systematic Review.Diagnostics (Basel, Switzerland) · 2022Review
- Evaluation of dental caries detection with quantitative light-induced fluorescence in comparison to different field of view devices.Scientific reports · 2022Article
- Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method.Caries research · 2022Article
- Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs.Clinical oral investigations · 2022Article
- Dentist´s attitude and criteria in the diagnosis and treatment of caries lesions: Survey about a clinical case.Journal of clinical and experimental dentistry · 2022Article
- Deep Learning for Caries Detection and Classification.Diagnostics (Basel, Switzerland) · 2021Article
- Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks.Annals of translational medicine · 2021Article
- A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study.Diagnostics (Basel, Switzerland) · 2020Article
- Dentist-related factors influencing the use of vital pulp therapy: a survey among dental practitioners in China.The Journal of international medical research · 2019Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe aim of this study was to examine the influence of experience and gender on the radiographic detection of proximal caries lesions and on therapeutic decisions. MATERIALS AND
methodsA survey of 220 examiners (students and employees at three universities and dentists in the field) was taken using a standardized written questionnaire concerning radiographic diagnosis and therapy planning. An expert opinion of four dentists was determined as radiographic reference. A mixed effect logistic regression model was used for statistical evaluation and the odds ratio and p values were calculated (α = 0.05).
resultsExaminers with experience had an almost four times greater chance of a correct assessment, if proximal caries lesion was present or not, than examiners with low experience (OR 3.7 (95% CI 2.4-5.8)). No gender-specific differences were discovered (OR women vs. men 0.9 (95% CI 0.6-1.4)). There was a relationship between the severity of the burnout effect on the x-ray and false positive caries diagnosis. Overall, 43% of respondents would plan invasive treatment in the enamel on a patient at low risk of caries and 78% on a high-risk patient. The results showed that the more experienced practitioners would be more likely to postpone restorative therapy on proximal caries until the lesion reached a later stage.
conclusionsThe results of this study suggest that examiner's experience influences the radiographic diagnosis of proximal lesions. No gender-specific differences could be found. CLINICAL RELEVANCE: Examiner's professional experience is an important factor when radiography is included for detection and treatment planning of proximal lesions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.