Literature DB >> 33800937

Diagnostic Value of Fluorescence Methods, Visual Inspection and Photographic Visual Examination in Initial Caries Lesion: A Systematic Review and Meta-Analysis.

Mai Thi Giang Thanh1,2, Ngo Van Toan3,4, Do Thi Thanh Toan3, Nguyen Phu Thang2, Ngoc Quang Dong5,6, Nguyen Tien Dung2, Phung Thi Thu Hang2, Le Quynh Anh2,7, Nguyen Thu Tra2, Vo Truong Nhu Ngoc2.   

Abstract

This systematic review and meta-analysis aimed to investigate the efficacy of fluorescence-based methods, visual inspections, and photographic visual examinations in initial caries detection. A literature search was undertaken in the PubMed and Cochrane databases. Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines were followed, and eligible articles published from 1 January 2009 to 30 October 2019 were included if they met the following criteria: they (1) assessed the accuracy of methods of detecting initial tooth caries lesions on occlusal, proximal, or smooth surfaces in both primary and permanent teeth (in clinical); (2) used a reference standard; (3) reported data regarding the sample size, prevalence of initial tooth caries, and accuracy of the methods. Data collection and extraction, quality assessment, and data analysis were conducted according to Cochrane standards Quality Assessment of Diagnostic Accuracy Studies-2. Statistical analyses were performed using Review Manager 5.3 and STATA 14.0. A total of 12 eligible articles were included in the meta-analysis. The results showed that the sensitivity and specificity of fluorescence-based methods were 80% and 80%, respectively; visual inspection was measured at 80% and 75%, respectively; photographic visual examination was measured at 67% and 79%, respectively. We found that the visual method and the fluorescence method were reliable for laboratory use to detect early-stage caries with equivalent accuracy.

Entities:  

Keywords:  fluorescence; initial tooth caries; photographic visual examination; visual inspection

Year:  2021        PMID: 33800937      PMCID: PMC8000741          DOI: 10.3390/dj9030030

Source DB:  PubMed          Journal:  Dent J (Basel)        ISSN: 2304-6767


1. Introduction

Noncavitated lesions, referring to initial caries lesion development, are characterized by alterations in color, glossiness, or surface structure—resulting from demineralization before the appearance of visible breakdown in the tooth surface [1]. According to Makhija in 2014 [2], 96% of early tooth lesions could be effectively treated by noninvasive interventions. In keeping with the trend of modern dentistry toward minimal intervention, early diagnosis of dental caries is considered a top priority goal. Diagnosis of dental caries is based mainly on symptoms and clinical signs; however, diagnosis is challenging and results may vary, depending on the presentation of the disease [3]. Detecting early lesions and monitoring signs of progression can be problematic, even for experienced dentists [4,5]. Therefore, the selection of a feasible, easy-to-apply and highly reliable method for early dental caries diagnosis is essential. The limitations of radiographs and clinical visual or tactile examination are that they are unable to detect whether the minimal enamel change is characteristic of early caries progression or remineralization [6]. Moreover, radiographs show low sensitivity for dentin caries (0–2 versus 3) [7]. According to Abogazalah N [8], the systematic review and meta-analysis of the visual inspection [9] and radiographic methods [10] showed diagnostic efficiency in detection of tooth decay on the proximal surface of the teeth, with low sensitivity and high specificity. Along with advances in science and technology, several new methods can assist the diagnosis of early-stage tooth decay, e.g., laser fluorescence [4] and optical coherence tomography [4,7]. Although these new methods offer various choices for early detection of tooth decay in modern dentistry, reports regarding their effectiveness have delivered contradictory results [8,9,10]. Consequently, it is very difficult to choose the best method for clinical application. Fluorescence-based methods for caries detection are in common use because they are capable of quantifying the mineral loss of hard dental tissues. The mechanisms of the DIAGNOdent 2095 (LF, KaVo, Biberach, Germany) and DIAGNOdent 2190 pens (LFpen, KaVo) are based primarily on fluorescence absorption of products released by bacteria in carious surfaces, which are illuminated by a diode laser with a 655 nm wavelength [11]. An intraoral fluorescence camera (FC, VistaProof) produces blue light at 405 nm to capture and digitalize images from the teeth while they are emitting fluorescence [12]. In the initial stage of carious lesions, red porphyrin fluorescence is emitted. This fluorescence is not emitted by intact enamel [13]. The quantitative light-induced fluorescence method (QLF) uses light with wavelengths of 405 nm to stimulate yellow fluorescence at wavelengths above 520 nm. Its diagnostic capability is based on the intensity of natural fluorescence of a tooth which is decreased by scattering due to caries lesions [14]. In daily clinical practice, dental caries are usually detected by visual inspection [15], a method which is simple and cost-effective. Nevertheless, visual examination has some disadvantages, mainly associated with its subjective nature [16]; i.e., the inconsistent interpretation of clinical characteristics of carious lesions [15]. A meta-analysis by Gimenez, T [9] showed that visual detection of carious lesions has been well-studied, and has been suggested as an exclusive method in clinical practice [9] for its high overall accuracy. However, there has been no meta-analysis regarding the diagnosis of initial lesion caries by visual examination. Dental photography is a very technique-sensitive method, owing to distance, the humid, dark environment of the mouth, and the interaction between light and dental tissues. Some authors have published articles reporting the diagnosis of early stages caries by photograph, but there is no consensus about the effectiveness of this method. Therefore, this systematic review and meta-analysis were purposed to investigate the overall diagnostic accuracy of image-based, fluorescence-based, and visual inspection-based detection methods in early dental caries in primary and permanent teeth. We also investigated possible sources of publication bias.

2. Materials and Methods

The data searching strategy was based on PRISMA’s guideline (Preferred Reporting Items for Systematic Review and Meta-Analyses [15]) in order to minimize the number of missing articles and increase the clarity and transparency of the systematic review [17]. The research questions were constructed based on PICOS [18]: (P) participants: early dental caries; (I) intervention: image-based detection, fluorescence methods, and visual inspection in early dental caries; (C) comparison or control group: gold standard; (O) outcome: accuracy, sensitivity, specificity, area under the receiver operating characteristic (ROC); (S) study design: caries lesions on occlusal, approximal or smooth surfaces, in both primary or permanent human teeth, in the clinical setting.

2.1. Search Strategy

The process of building the database was carried out on Cochrane library and PubMed from 1 January 2009 to 30 October 2019 using the terms (which were divided into 3 groups): sensitivity and specificity; early dental caries; methods of detecting early dental caries. Boolean operators, such as “AND” and “OR”, were used appropriately in each group. Post-research studies were input to Endnote X9 produced by Clarivate Analytics software to store, organize and manage publication information. The search terms used for each database are listed in Appendix A (Table A1) and Appendix B (Table A2).
Table A1

PubMed search: diagnostic value of fluorescence methods, visual inspection and photographic visual examination in initial caries lesion.

Search NameSearch QueryType of SearchResults
#1Search ((((((sensitive and specificity[MeSH Terms])) OR (sensitivity[Title/Abstract] AND specificity[Title/Abstract] OR sensitivity[Title/Abstract] AND standard[Title/Abstract] OR specificity[Title/Abstract] OR screening[Title/Abstract] OR false positive[Title/Abstract] OR false negative[Title/Abstract] OR accuracy[Title/Abstract])) OR predictive value of tests[MeSH Terms]) OR (predictive value[Title/Abstract] OR predictive value of tests[Title/Abstract] OR predictive value of standard[Title/Abstract] OR predictive values[Title/Abstract] OR reference value[Title/Abstract] OR reference values[Title/Abstract] OR reference values[Title/Abstract] OR reference standards[Title/Abstract])) OR roc curve[MeSH Terms]) OR (roc[Title/Abstract] OR roc analyses[Title/Abstract] OR roc analysis[Title/Abstract] OR roc area[Title/Abstract] OR roc auc[Title/Abstract] OR roc characteristics[Title/Abstract] OR roc curve method[Title/Abstract] OR roc estimated[Title/Abstract] OR roc evaluation[Title/Abstract] OR likelihood ratio[Title/Abstract])MeSH terms Title/Abstract1,529,366
#2Search ((initial caries OR white spots[MeSH Terms])) OR (caries in early phase[Title/Abstract] OR initial phase of dental caries[Title/Abstract] OR first stage of tooth decay[Title/Abstract] OR White Spots[Title/Abstract] OR first stage of cavities[Title/Abstract] OR decay on the surface of the teeth[Title/Abstract] OR early stages caries[Title/Abstract] OR early stages decay[Title/Abstract] OR Early stage of carious lesion[Title/Abstract] OR early tooth decay[Title/Abstract] OR Early-stage tooth decay[Title/Abstract] OR initial phase of tooth decay[Title/Abstract])MeSH terms Title/Abstract46,540
#3Search (((system[Title/Abstract] OR clinical[Title/Abstract] OR clinic[Title/Abstract] OR exams[Title/Abstract] OR examination[Title/Abstract] OR examinations[Title/Abstract] OR visual[Title/Abstract] OR inspection[Title/Abstract])) OR (laser fluorescence[Title/Abstract] OR DIAGNOdent[Title/Abstract] OR infrared[Title/Abstract] OR diode laser fluorescence[Title/Abstract] OR QLF[Title/Abstract] OR quantitative light-induced fluorescence system[Title/Abstract] OR quantitative light-induced fluorescence[Title/Abstract] OR fluorescence-bases methods[Title/Abstract] OR fluorescence camera[Title/Abstract] OR VistaProof-FC[Title/Abstract] OR VistaProof[Title/Abstract])) OR (“photographic[Title/Abstract] OR smartphone based method[Title/Abstract] OR photography[Title/Abstract] OR smartphone images[Title/Abstract] OR smartphone photograph[Title/Abstract] OR oral photographic [Title/Abstract] OR smartphone-based detection[Title/Abstract] OR smartphone-based diagnostics[Title/Abstract] OR image-based detection[Title/Abstract] OR smartphone-based tool[Title/Abstract] OR smartphone-based screening”[Title/Abstract])Title/Abstract8,967,806
#4#1 AND #2 AND #3 684
Table A2

Cochrane search: diagnostic value of fluorescence methods, visual inspection and photographic visual examination in initial caries lesion.

Search NameSearch QueryType of SearchResults
#1Search ((((((sensitive and specificity[MeSH Terms])) OR (sensitivity[Title/Abstract] AND specificity[Title/Abstract] OR sensitivity[Title/Abstract] AND standard[Title/Abstract] OR specificity[Title/Abstract] OR screening[Title/Abstract] OR false positive[Title/Abstract] OR false negative[Title/Abstract] OR accuracy[Title/Abstract])) OR predictive value of tests[MeSH Terms]) OR (predictive value[Title/Abstract] OR predictive value of tests[Title/Abstract] OR predictive value of standard[Title/Abstract] OR predictive values[Title/Abstract] OR reference value[Title/Abstract] OR reference values[Title/Abstract] OR reference values[Title/Abstract] OR reference standards[Title/Abstract])) OR roc curve[MeSH Terms]) OR (roc[Title/Abstract] OR roc analyses[Title/Abstract] OR roc analysis[Title/Abstract] OR roc area[Title/Abstract] OR roc auc[Title/Abstract] OR roc characteristics[Title/Abstract] OR roc curve method[Title/Abstract] OR roc estimated[Title/Abstract] OR roc evaluation[Title/Abstract] OR likelihood ratio[Title/Abstract])MeSH terms Title/Abstract115,527
#2Search ((initial caries OR white spots[MeSH Terms])) OR (caries in early phase[Title/Abstract] OR initial phase of dental caries[Title/Abstract] OR first stage of tooth decay[Title/Abstract] OR White Spots[Title/Abstract] OR first stage of cavities[Title/Abstract] OR decay on the surface of the teeth[Title/Abstract] OR early stages caries[Title/Abstract] OR early stages decay[Title/Abstract] OR Early stage of carious lesion[Title/Abstract] OR early tooth decay[Title/Abstract] OR Early-stage tooth decay[Title/Abstract] OR initial phase of tooth decay[Title/Abstract])MeSH terms Title/Abstract2480
#3Search (((system[Title/Abstract] OR clinical[Title/Abstract] OR clinic[Title/Abstract] OR exams[Title/Abstract] OR examination[Title/Abstract] OR examinations[Title/Abstract] OR visual[Title/Abstract] OR inspection[Title/Abstract])) OR (laser fluorescence[Title/Abstract] OR DIAGNOdent[Title/Abstract] OR infrared[Title/Abstract] OR diode laser fluorescence[Title/Abstract] OR QLF[Title/Abstract] OR quantitative light-induced fluorescence system[Title/Abstract] OR quantitative light-induced fluorescence[Title/Abstract] OR fluorescence-bases methods[Title/Abstract] OR fluorescence camera[Title/Abstract] OR VistaProof-FC[Title/Abstract] OR VistaProof[Title/Abstract])) OR (“photographic[Title/Abstract] OR smartphone based method[Title/Abstract] OR photography[Title/Abstract] OR smartphone images[Title/Abstract] OR smartphone photograph[Title/Abstract] OR oral photographic [Title/Abstract] OR smartphone-based detection[Title/Abstract] OR smartphone-based diagnostics[Title/Abstract] OR image-based detection[Title/Abstract] OR smartphone-based tool[Title/Abstract] OR smartphone-based screening”[Title/Abstract])Title/Abstract854,978
#4 #1 AND #2 AND #3 113

2.2. Selection Criteria

Articles were excluded if they met these criteria: irrelevance; review or conceptual articles; non-human teeth; not related to early dental caries; not related to diagnosis; radicular caries lesions; secondary caries lesions; artificial lesions; methodology articles; method not based on laser fluorescence (for LF only) or method not based on photograph/smart phone or method not based on oral/clinical examination (for clinical examination only; without validation; not about performance). We also excluded studies that were not in English or unavailable for full text articles. Studies were screened by two independent researchers. Disagreements were resolved by discussion and expert consultation.

2.3. Data Extraction and Quality Assessment

Extracted data included first author’s name, publication year, sample size and outcome data (sensitivity and specificity), the values of true positives (TP), true negatives (TN), false positives (FP) and false negatives (FN) if reported. Two researchers independently assessed the quality of the study using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) [19] based on four domains (“Patient Selection”, “Index Test”, “Reference Standard”, and “Flow and Timing”) in two categories (“Risk of Bias” and “Applicability Concerns”).

2.4. Statistical Analyses

Statistical analyses were performed using Review Manager Software (RevMan Version 5.3, the Nordic Cochrane Centre, the Cochrane Collaboration, Copenhagen, Denmark) and STATA 14.0 software. Review Manager 5.3 software was employed to assess the quality of enrolled studies.

3. Results

3.1. Study Selection

Among 797 records, 31 were eliminated due to duplication. After screening titles and abstracts, 642 were excluded and further 109 articles were removed due to specific reasons shown in a flow diagram (Figure 1). This has led to our finalized database of 12 studies for quantitave analysis.
Figure 1

Flow chart of study selection.

3.2. Study Characteristics

Publication year ranged from 2011 to 2018. Most of the articles used visual inspection or histological examination in occlusal surface as reference standard. Out of the twelve selected articles, three articles used visual photographic examination, ten articles used fluorescence methods, and five articles utilized visual inspection in initial caries detection. A summary containing characteristics of each included study was provided in Appendix C (Table A3).
Table A3

Summary of characteristics of included studies.

Fluorescence Method
Study IDDatabaseNTPFPFNTNMethodPrimary/PermanentTooth SurfaceIn Vitro/In VivoReference StandardCut-Off Value
Iranzo-Cortes et al. 2018 [1]PubMed653141317FCpermanent smoothin vitro without frozenhistology sound (1–1.49); initial caries (1.5–1.99); caries enamel (2–2.49); caries dentine (2.5 or higher)
Mansour et al. 2016 [3]PubMed426301521360LF penpermanentcoronalin vivovisual and radiographysound (0–13); outer half enamel (14–20); internal half enamel (21–29); dentinal (>30)
Ozsevik et al. 2015 [4]Cochrane1569223734LFpenpermanent proximal cariesin vitro frozenhistologysound (0–9); outer half enamel (9.1–15); internal half enamel (>15)
Zeitouny et al. 2014 [5]PubMed1641046846FCpermanentocclusalin vivovisualsound (shiny green); enamel (red–darker red); dentinal (dark red–red orange)
Teo et al. 2014a [6]PubMed1026721122LF pen primaryocclusal in vivohistologyoptimal cut off D1:10
Teo et al. 2014a1 [6]PubMed64401068LF pen primaryocclusalin vitro without frozenhistologyoptimal cut off D1:10
Achilleos et al. 2013a [7]PubMed3827290LF penpermanentocclusalin vitro without frozenhistologysound (0–13); outer half enamel (14–20); internal half enamel (21–29); dentinal (>30)
Achilleos et al. 2013a1 [7]PubMed3836200FCpermanentocclusalin vitro without frozenhistologysound (≤ 1); beginning enamel (1–1.5); deep enamel (2–2.5); dentinal (2.5–5)
Seremidi et al. 2012a [9]PubMed1076661718LF penpermanentocclusalin vitro without frozenhistologysound (<9); enamel (9–44); dentinal (>=44)
Seremidi et al. 2012a1 [9]PubMed1077171217FCpermanentocclusalin vitro without frozenhistologysound (<1.3); D1 (1.30); D2 (1.41); D3 (>1.59)
Duruturk et al. 2011 [10]PubMed50516310520217LFpermanentocclusalin vivovisualSound (0–14); enamel (15–20); dentinal (≥21)
Matos et al. 2011a [11]PubMed383241611026LFpenprimaryocclusalin vivovisual inspectionsound (0–4); NC lesions (>4)
Matos et al. 2011a1 [11]PubMed383156319529FCprimaryocclusalin vivovisual inspectionsound (0–1.1); NC lesions (>1.1)
de Paula et al. 2011a [12]PubMed64400168LFpermanentocclusalin vitro without frozenhistologysound (0–10); enamel (11–20); dentin (21–99)
de Paula et al. 2011a1 [12]PubMed64310258LFpermanentocclusalinsitu without frozenhistologysound (0–10); enamel (11–20); dentin (21–99)
Visual Inspection
Study ID Database N TP FP FN TN Criteria Primary/Permanent Tooth Surface In Vitro/In Vivo Reference Standard Examiners’ Experience
Iranzo-Cortes et al. 2018 [1]PubMed65354917ICDAS IIpermanent smoothin vitro without frozenhistologynovices with training
Teo et al. 2014a [6]PubMed102717717ICDASprimaryocclusal in vivohistologyintermediate with training
Teo, et al. 2014a1 [6]PubMed64417511ICDASprimaryocclusalin vitro without frozenhistologyintermediate with training
Achilleos, et al. 2013 [7]PubMed3829270ICDASpermanentocclusalin vitro without frozenhistologyexperienced
Seremidi et al. 2012a [9]PubMed10773111013Ekstrandpermanentocclusalin vitro without frozenhistologyexperienced
de Paula, et al. 2011a [12]PubMed64350218 permanentocclusalin vitro without frozenhistologyintermediate without training
de Paula, et al. 2011a1 [12]PubMed64301267 permanentocclusalin situhistologyintermediate without training

3.3. Study Quality Assessment

Using QUADAS-2, 75% of studies had a high risk of bias in the patient selection domain and 50% of studies had a high risk of bias in the index test domain. In the reference standard domain, 58% of studies had a high risk of bias while 17% of studies did not present enough information. Of the studies, 8% had a high risk of bias in the flow and timing domain. All studies had an appropriate sample, reference standard and index test with the review question (Table 1).
Table 1

Methodological quality table.

StudyRisk of BiasApplicability
Patient SelectionIndex TestReference StandardFlow and TimingPatient SelectionIndex TestReference Standard
N % n % N % N % N % N % n %
High97565075818000000
Low3154333251192121001210012100
Unclear0021721700000000
Total12100121001210012100121001210012100

3.4. Sensitivity and Specificity

The sensitivity and specificity of each study included in the review were presented in Appendix D (Figure A1, Figure A2 and Figure A3). The overall sensitivity and specificity of visual inspection were 0.8 (95% CI: 0.69–0.88) and 0.75 (95% CI: 0.58–0.86), respectively. The overall sensitivity and specificity of visual photographic examination were 0.67 (95% CI: 0.45–0.82) and 0.79 (95% CI: 0.5–0.93), respectively. The sensitivity and specificity of fluorescence methods were 0.8 (95% CI: 0.71–0.87) and 0.8 (95% CI: 0.68–0.88), respectively.
Figure A1

Visual inspection.

Figure A2

Photographic visual examination.

Figure A3

Fluorescence-based methods.

3.5. Summary Receiver Operating Characteristic (sROC) Curves

In these groups, analysis area under the curve (AUC) provided more information about the research results (Figure 2, Figure 3 and Figure 4).
Figure 2

sRoc curves of visual inspection.

Figure 3

sRoc curves of fluorescence-based methods.

Figure 4

sRoc curves of photographic visual examination.

sRoc curves of visual inspection, fluorescence-based methods, photographic visual examination on occlusal surfaces of teeth are illustrated in Figure 5, Figure 6 and Figure 7. The pooled sensitivities and specificities of visual inspection and fluorescence methods were higher than that of photographic visual examination. Regarding the occlusal surface of teeth, the values of I-squared were high at all methods (72% to 98%). The sensitivity and specificity of visual inspection were 0.8 (95% confident interval: 0.72–0.88) and 0.75 (95% CI: 0.64–0.87), respectively. The sensitivity and specificity of fluorescence methods were 0.8 (95% CI: 0.74–0.87) and 0.8 (95% CI: 0.72–0.89), respectively. The sensitivity and specificity of visual photographic examination were 0.3 (95% CI: 0.1–0.56) and 0.9 (95% CI: 0.85–0.99), respectively.
Figure 5

sRoc curves of visual inspection on occlusal surfaces.

Figure 6

sRoc curves of fluorescence-based methods on occlusal surfaces.

Figure 7

sRoc curves of photographic visual examination on occlusal surfaces.

The area under the curve (AUC) of in vivo fluorescence was higher in in vitro fluorescence. On the other hand, methods using in vivo visual photographic examination had lower AUC of in vitro visual photographic examination (Figure 8 and Figure 9).
Figure 8

Comparison between in vitro and in vivo of fluorescence methods.

Figure 9

Comparison between in vitro and in vivo of visual photographic examination methods.

The ROC curves of in vitro visual inspection and fluorescence coincided displaying the equivalence in both methods’ accuracy (Figure 10, Figure 11 and Figure 12). The AUC of in vitro visual photographic examination was lower than that of in vitro fluorescence and visual detection.
Figure 10

In vitro comparison of fluorescence and visual inspection.

Figure 11

In vitro comparison of photographic visual examination and fluorescence.

Figure 12

In vitro comparison of visual inspection and photographic visual examination.

The ROC curve of in vivo fluorescence is directed towards the upper left corner than the curve of in vivo visual photographic examination (Figure 13).
Figure 13

In vivo comparison of fluorescence and image methods.

4. Discussion

Concerning advanced adjunct methods to detect dental decay, two previous systematic reviews and meta-analysis were performed in 2013 and 2015 [9,20], but this was limited to the fluorescence and visual inspection, and for dental carious lesions, we considered the initial caries lesions only. According to International Caries Detection and Assessment System (ICDAS), the initial caries are defined as the demineralized lesion of the enamel surface without a cavity formation, independent of the lesion depth. Thus, the depth of demineralized lesions has not been considered in the study. Another systematic review has been published about non-cavitated carious lesions detection methods, but the authors did not perform meta-analysis [21]. Our systematic review is the first review that has meta-analyses of diagnostic methods of non-cavitated carious lesions. Thus, we have evaluated the accuracy of different methods used to detect non-cavitated caries lesions, the heterogeneity among the studies and the publication bias. Our review intends to emphasize important information for clinicians to choose the appropriate method among fluorescence, visual inspection and visual photographic examination in non-cavitated caries detection. Visual inspection is the most common method in initial caries detection for its convenience and reliability [9]. However, validating visual inspection in research has several drawbacks. Histology is assumed as the exclusive standard reference leading to difficulties for conducting studies of in vivo visual inspection. To assess the caries in histology, the teeth must be extracted leading to ethical issues. The clinical classification of dental caries is various among studies resulting in the heterogenity of criteria of determining initial caries. Among selected studies, only the study of Teo et al. in 2014 [22], which evaluated the accuracy of in vivo visual inspection, without a meta-analysis, could not generate a relatively good level of evidence. The ROC curves of in vitro fluorescence and in vitro visual inspection are coincident and are located towards the upper-left corner of the ROC curve of visual photographic examination. The results suggested that in vitro fluorescence and in vitro visual inspection have equivalent accuracy. Studies including a sample of initial caries may use either fluorescence-based methods or visual inspection as research materials. However, the accuracy of in vitro fluorescence and in vivo fluorescence is not equivalent. Thus, using fluorescence in clinical practice instead of visual examination still needs further investigation. Comparing in vivo and in vitro fluorescence, in vitro fluorescence had higher accuracy. Diagnodent pens detect carious lesions through measuring porphyrins released by bacteria and detecting biological luminescence on teeth surfaces. In in vitro studies, teeth were stored inside preservative solutions which may remove and dissolve proteins and wash out microorganisms, then overscore the demineralization level of the lesions [22]. Moreover, in clinical practice, detection of dental caries under restorative materials was impossible with fluorescence-based instruments, and diagnostic performance at the surrounding areas of restorations was also limited [23]. On the other hand, modalities using fluorescence-based methods report more carious lesions than other methods, which means that either the LF pen detects lesions in areas where none really exist, or other devices cannot detect actual lesions. So, the LF pen is not recommended to detect dental caries under restorative materials due to its low performance and should be substituted by optical coherence tomography (OCT) [23]. SOPROLIFE might also give false positive results if images are magnified above a certain threshold [24]. To avoid the false positive result, taking repetitively and comparing between OCT images is a possible solution. The AUC of in vivo visual photographic examination was lower than that of in vitro visual photographic examination. The result can be explained by the shortcomings of light, photographic direction, humidity, tooth position and saliva control of intraoral environment comparing to laboratory environment [25]. Compared with in vitro visual inspection and in vitro fluorescence, in vitro photographic visual examination had lower AUC. The results can be explained by the effects of photo quality on the distinction of lesions. The review still has several shortcomings. The number of included studies was small, ten studies of fluorescence, five studies of visual inspection and three studies of photographic visual examination. The QUADAS-2 checklist showed that all articles had a high risk of bias. Another limitation of the review is the heterogeneity of standard references of included studies. Histology was the reference standard of all selected studies that assessed visual inspection, two studies evaluating fluorescence and six studies assessing photographic visual inspection (Appendix C). The reference standard of the other studies evaluating photographic visual inspection and fluorescence was visual inspection, which is a subjective method (Appendix C). Regarding the visual photographic examination, all the included studies were conducted in small samples and used old versions of photographic tools, such as IPhone 5, Nexus 4 and camera Macro [26]. Since all studies included in the study had a high risk of bias, the result of this review should be interpreted with caution. According to our limited knowledge, the research on non-cavitated caries lesions only has a systematic review in 2013 by Gomez J [21]. Photographic visual examination for diagnosing initial stage caries has been studied by Kohara 2018 [26], Van Hilsen 2013 [27], Seremidi 2012 [28] and has not been reviewed systematically. Fluorescence-based methods and visual inspection have been reviewed with meta-analysis at two different thresholds as enamel and dentine caries lesions. Therefore, this review is the first meta-analysis to compare the accuracy of three diagnostic methods and focus on initial dental caries. Further studies assessing in vivo visual inspection and in vitro and in vivo photographic visual examination are needed with a consistent objective reference standard, i.e., history.

5. Conclusions

It is suggested that the visual method and fluorescence method have equivalent accuracy in laboratory use to detect early-stages caries. More studies evaluating in vivo visual inspection and photographic visual examination are required.
  24 in total

1.  A systematic review of the performance of methods for identifying carious lesions.

Authors:  James D Bader; Daniel A Shugars; Arthur J Bonito
Journal:  J Public Health Dent       Date:  2002       Impact factor: 1.821

2.  Comparative in vitro validation of VistaProof and DIAGNOdent pen for occlusal caries detection in permanent teeth.

Authors:  Kyriaki Seremidi; Panagiotis Lagouvardos; Katerina Kavvadia
Journal:  Oper Dent       Date:  2011-12-14       Impact factor: 2.440

Review 3.  Diagnosis versus detection of caries.

Authors:  B Nyvad
Journal:  Caries Res       Date:  2004 May-Jun       Impact factor: 4.056

Review 4.  Prevention of crown and root caries in adults.

Authors:  Jonas A Rodrigues; Adrian Lussi; Rainer Seemann; Klaus W Neuhaus
Journal:  Periodontol 2000       Date:  2011-02       Impact factor: 7.589

5.  Performance of fluorescence methods, radiographic examination and ICDAS II on occlusal surfaces in vitro.

Authors:  J A Rodrigues; I Hug; M B Diniz; A Lussi
Journal:  Caries Res       Date:  2008-07-29       Impact factor: 4.056

6.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

7.  The American Dental Association Caries Classification System for clinical practice: a report of the American Dental Association Council on Scientific Affairs.

Authors:  Douglas A Young; Brian B Nový; Gregory G Zeller; Robert Hale; Thomas C Hart; Edmond L Truelove
Journal:  J Am Dent Assoc       Date:  2015-02       Impact factor: 3.634

8.  An in vivo and in vitro investigation of the use of ICDAS, DIAGNOdent pen and CarieScan PRO for the detection and assessment of occlusal caries in primary molar teeth.

Authors:  Terry Kuo-Yih Teo; Paul Francis Ashley; Chris Louca
Journal:  Clin Oral Investig       Date:  2013-06-23       Impact factor: 3.573

9.  Comparison of caries diagnostic modalities: A clinical study in 40 subjects.

Authors:  Stephanie Mansour; Janet Ajdaharian; Tasneem Nabelsi; Gregory Chan; Petra Wilder-Smith
Journal:  Lasers Surg Med       Date:  2016-03-21       Impact factor: 4.025

10.  Diagnosis of Occlusal Caries with Dynamic Slicing of 3D Optical Coherence Tomography Images.

Authors:  Minh N Luong; Yasushi Shimada; Kazuyuki Araki; Masahiro Yoshiyama; Junji Tagami; Alireza Sadr
Journal:  Sensors (Basel)       Date:  2020-03-17       Impact factor: 3.576

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  2 in total

1.  Development of a Visualisation Approach for Analysing Incipient and Clinically Unrecorded Enamel Fissure Caries Using Laser-Induced Contrast Imaging, MicroRaman Spectroscopy and Biomimetic Composites: A Pilot Study.

Authors:  Pavel Seredin; Dmitry Goloshchapov; Vladimir Kashkarov; Anna Emelyanova; Nikita Buylov; Yuri Ippolitov; Tatiana Prutskij
Journal:  J Imaging       Date:  2022-05-13

2.  In vivo effectiveness of visual inspection and laser fluorescence in the diagnosis of early pit-and-fissure carious lesions: A cross-sectional study in a group of Romanian children.

Authors:  Monica Monea; Daniela Eşian; Ramona Elena Vlad; Cristina Ioana Bica
Journal:  Medicine (Baltimore)       Date:  2021-11-12       Impact factor: 1.817

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