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Article: Accuracy of clinical photography for the detection of dental caries: A systematic review and meta-analysis

TitleAccuracy of clinical photography for the detection of dental caries: A systematic review and meta-analysis
Authors
KeywordsCaries detection
Clinical photography
Dental caries
Diagnostic accuracy
Digital dentistry
Teledentistry
Issue Date7-Apr-2025
PublisherElsevier
Citation
Journal of Dentistry, 2025, v. 157 How to Cite?
AbstractObjective: To evaluate the accuracy of visual caries detection using clinical photographs in comparison with visual clinical intraoral examination for the detection of dental caries. Data: This review followed PRISMA-DTA guidelines and was registered in PROSPERO (CRD42024598814). Accuracy parameters of sensitivity, specificity and diagnostic odds ratio (DOR), area under summary receiver operating characteristic curve (AUC), and partial AUC (pAUC) were generated. Risk of bias was assessed using QUADAS-2 tool. Sources: Publications from PubMed, Web of Science, Scopus, and EMBASE databases. Study selection/results: Eighteen studies including 1300 participants were included in this review. Risks of bias and applicability concerns were frequently encountered in one or more domains. The pooled sensitivity (95 % Confidence Interval, CI), specificity (95 %CI), DOR (95 %CI) and AUC (pAUC) of the visual assessment of clinical photographs were 0.74 (0.70–0.77), 0.95 (0.88–0.98), 52.94 (22.13–126.66), and 0.813 (0.753) for enamel caries; 0.81 (0.75–0.86), 0.98 (0.94–0.99), 142.01 (67.50–298.77), and 0.935 (0.857) for dentine caries; 0.81 (0.70–0.89), 0.99 (0.96–1.00), 245.04 (83.75–716.96), and 0.957 (0.902) for any caries depth. Subgroup analysis suggested that caries depth (enamel caries v.s. dentine caries v.s. any caries depth; p = 0.072), dentition (primary v.s. permanent; p = 0.584 (dentine caries data), p = 0.923 (any caries data)), technology (smartphone camera v.s. intra-oral camera; p = 0.993), and photographer (dental professional v.s. layperson; p = 0.466) did not modify the diagnostic performance. Conclusions: Visual assessment of clinical photographs for caries detection demonstrated clinically acceptable accuracy when compared with visual clinical intraoral examination. High specificity values across diagnostic thresholds suggest a high level of accuracy in correctly identifying sound tooth structure. Clinical significance: Clinical photography is useful for dental caries detection and can facilitate clinical decision-making.
Persistent Identifierhttp://hdl.handle.net/10722/358408
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 1.313

 

DC FieldValueLanguage
dc.contributor.authorKu, Jason Chi Kit-
dc.contributor.authorMao, Kaijing-
dc.contributor.authorWang, Feifei-
dc.contributor.authorCarreiro, Adriana da Fonte Porto-
dc.contributor.authorLam, Walter Yu Hang-
dc.contributor.authorYu, Ollie Yiru-
dc.date.accessioned2025-08-07T00:32:06Z-
dc.date.available2025-08-07T00:32:06Z-
dc.date.issued2025-04-07-
dc.identifier.citationJournal of Dentistry, 2025, v. 157-
dc.identifier.issn0300-5712-
dc.identifier.urihttp://hdl.handle.net/10722/358408-
dc.description.abstractObjective: To evaluate the accuracy of visual caries detection using clinical photographs in comparison with visual clinical intraoral examination for the detection of dental caries. Data: This review followed PRISMA-DTA guidelines and was registered in PROSPERO (CRD42024598814). Accuracy parameters of sensitivity, specificity and diagnostic odds ratio (DOR), area under summary receiver operating characteristic curve (AUC), and partial AUC (pAUC) were generated. Risk of bias was assessed using QUADAS-2 tool. Sources: Publications from PubMed, Web of Science, Scopus, and EMBASE databases. Study selection/results: Eighteen studies including 1300 participants were included in this review. Risks of bias and applicability concerns were frequently encountered in one or more domains. The pooled sensitivity (95 % Confidence Interval, CI), specificity (95 %CI), DOR (95 %CI) and AUC (pAUC) of the visual assessment of clinical photographs were 0.74 (0.70–0.77), 0.95 (0.88–0.98), 52.94 (22.13–126.66), and 0.813 (0.753) for enamel caries; 0.81 (0.75–0.86), 0.98 (0.94–0.99), 142.01 (67.50–298.77), and 0.935 (0.857) for dentine caries; 0.81 (0.70–0.89), 0.99 (0.96–1.00), 245.04 (83.75–716.96), and 0.957 (0.902) for any caries depth. Subgroup analysis suggested that caries depth (enamel caries v.s. dentine caries v.s. any caries depth; p = 0.072), dentition (primary v.s. permanent; p = 0.584 (dentine caries data), p = 0.923 (any caries data)), technology (smartphone camera v.s. intra-oral camera; p = 0.993), and photographer (dental professional v.s. layperson; p = 0.466) did not modify the diagnostic performance. Conclusions: Visual assessment of clinical photographs for caries detection demonstrated clinically acceptable accuracy when compared with visual clinical intraoral examination. High specificity values across diagnostic thresholds suggest a high level of accuracy in correctly identifying sound tooth structure. Clinical significance: Clinical photography is useful for dental caries detection and can facilitate clinical decision-making.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Dentistry-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCaries detection-
dc.subjectClinical photography-
dc.subjectDental caries-
dc.subjectDiagnostic accuracy-
dc.subjectDigital dentistry-
dc.subjectTeledentistry-
dc.titleAccuracy of clinical photography for the detection of dental caries: A systematic review and meta-analysis-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.jdent.2025.105737-
dc.identifier.pmid40204147-
dc.identifier.scopuseid_2-s2.0-105002426327-
dc.identifier.volume157-
dc.identifier.eissn1879-176X-
dc.identifier.issnl0300-5712-

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