Trial reportPloS one2018
Is it feasible to use smartphone images to perform telediagnosis of different stages of occlusal caries lesions?
Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.
- Teledentistry accuracy for caries diagnosis: a systematic review of in-vivo studies using extra-oral photography methods.BMC oral health · 2024Pooled it
- Accuracy of teledentistry in detecting dental caries among school children in Makkah City: a diagnostic comparative study.BMC oral health · 2026Article
- Quality assessment of anterior composite restorations: clinical examination versus three digital photographic techniques.Clinical oral investigations · 2026Article
- Mobile Imaging-Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study.JMIR research protocols · 2026Article
- Evaluation of undergraduate dental students' awareness, knowledge, and attitudes towards teledentistry: does a course enhance this?BMC medical education · 2025Article
- Validity and reliability of a smartphone-based photographic method for detection of dental caries in adults for use in teledentistry.Frontiers in oral health · 2025Article
- Accuracy of smartphone photographs for detecting active carious lesions in orthodontic patients.Brazilian oral research · 2025Article
- A Tele-detection and referral pAthways model for early childhood cariEs control- a protocol for a randomized factorial study: the TRACE study.BMC oral health · 2024Article
- The accuracy of asynchronous tele-screening for detecting dental caries in patient-captured mobile photos: A pilot study.The Saudi dental journal · 2024Article
- iPhone 13 Pro Max photography for quantitative evaluation of fine facial wrinkles: Is it feasible?Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023Article
- Review
- Visual Diagnostics of Dental Caries through Deep Learning of Non-Standardised Photographs Using a Hybrid YOLO Ensemble and Transfer Learning Model.International journal of environmental research and public health · 2023Article
- Evaluation of the marginal adaptation and gingival status of full-crown restorations using an intraoral camera.BMC oral health · 2022Article
- Is Teledentistry a Method for Optimizing Dental Practice, Even in the Post-Pandemic Period? An Integrative Review.International journal of environmental research and public health · 2022Review
- Dentist perceptions about the value of teledentistry.BMC oral health · 2022Article
- Article
- Accuracy of Teledentistry for Diagnosis and Treatment Planning of Pediatric Patients during COVID-19 Pandemic.International journal of telemedicine and applications · 2022Article
- Article
- Teledentistry in the Management of Patients with Dental and Temporomandibular Disorders.BioMed research international · 2022Review
- Detection of dental caries in oral photographs taken by mobile phones based on the YOLOv3 algorithm.Annals of translational medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to compare the performance of two different models of smartphone and a conventional camera with that of direct clinical examination in detecting caries lesions at different stages of progression in deciduous molars. The photographic equipment consisted of two smartphones (iPhone and Nexus 4) and a conventional macro camera setup. First, in the laboratory phase of the study, we compared the images of 20 exfoliated primary teeth having caries lesions at different stages. Then, in the clinical phase of the study, the images of 119 primary molars from fifteen children (3 to 6 years old) were used. All of the photographic images were taken using the previously described devices. In both groups, two examiners, blinded to the photographic equipment used, assessed the images independently on a computer screen, and classified them according to the International Caries Detection and Assessment System (ICDAS). The teeth were then examined directly by two other experienced examiners, and the consensus reached was considered the reference standard. Parameters of validity, such as percentage of correct answers, agreement with the reference standard, sensitivity, specificity and inter-examiner agreement (using the weighted kappa test) were calculated. The examiners performed similarly in both in vitro and in vivo studies. Inter-examiner reliability was approximately 0.7 for all the devices in the laboratory setting, and for the macro camera photography system in the clinical setting, but it was approximately 0.9 for the iPhone and Nexus images taken in vivo. With regard to the percentage of correct answers, the highest values were observed for sound and extensive caries lesions in both laboratory and clinical settings. The percentage of correct answers for initial and moderate lesions was particularly low in the clinical evaluation, irrespective of the camera devices used. Therefore, we concluded that photographic diagnosis using smartphone images is feasible and accurate for distinguishing sound tooth surfaces from extensive caries lesions; however, photographic images are not a good method for accurately detecting initial and moderate caries lesions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.