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The use of smartphones in radiographic diagnosis: accuracy on the detection of marginal gaps

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Abstract

Objective

To compare the accuracy of computer monitor and smartphone screen for radiographic diagnosis of marginal gap.

Materials and methods

Forty teeth with mesial-occlusal-distal inlays (each tooth with a perfect fit and a 0.4-mm marginal gap restoration) were imaged with a phosphor plate system. Original digital radiographs were exported and analyzed with two different methods: computer monitor and smartphone screen; for the last method, images were shared with WhatsApp. Three examiners assessed all radiographs (n = 160) for the presence of marginal gap by using a dichotomous scale (yes/no). Diagnostic performance of each examiner and viewing method was evaluated by means of sensitivity (Se), specificity (Sp), and overall accuracy (Ac). Difference between the frequencies of gap detection of each method was analyzed using the McNemar test. Intra- and inter-examiner agreements were calculated using kappa statistics.

Results

Intra- and inter-examiner agreements were ≥ 0.80 for both methods. Similar diagnostic performance was found for computer monitor (Se = 0.87–1; Sp = 0.8–0.97; Ac = 0.84–0.99) and smartphone (Se = 0.77–1; Sp = 0.87–1; Ac = 0.88–0.95) viewing methods. No statistically significant differences in the frequency of gap detection were observed between the methods (P > 0.05).

Conclusion

Diagnostic accuracy of smartphone screens was similar to that of computer monitor for marginal gap detection.

Clinical relevance

Smartphones are becoming a common daily tool. In this sense, it might be an important new aid in Dentistry, including radiographic evaluation, which could benefit patients and dentists.

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References

  1. Zayet MK, Helaly YR, Eiid SB (2009) Effect of changing the kilovoltage peak on radiographic caries assessment in digital and conventional radiography. Imaging Sci Dent 44:199–205. https://doi.org/10.5624/isd.2014.44.3.199

    Article  Google Scholar 

  2. Shintaku WH, Scarbecz M, Venturin JS (2012) Evaluation of interproximal caries using the iPad 2 and a liquid crystal display monitor. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 113:40–44. https://doi.org/10.1016/j.oooo.2011.11.008

    Article  Google Scholar 

  3. Valizadeh S, Tavakoli MA, Zarabian T, Esmaeili F (2009) Diagnostic accuracy of digitized conventional radiographs by camera and scanner in detection of proximal caries. J Dent Res Dent Clin Dent Prospects 3:126–131. https://doi.org/10.5681/joddd.2009.031

    Article  PubMed  PubMed Central  Google Scholar 

  4. Estai M, Kanagasingam Y, Huang B, Kruger E, Bunt S, Tennant M (2017) Comparison of a smartphone-based photographic method with face-to-face caries assessment: a mobile teledentistry model. Telemed J E Health 23:435–440. https://doi.org/10.1089/tmj.2016.0122

    Article  PubMed  Google Scholar 

  5. Stahl I, Dreyfuss D, Ofir D, Merom L, Raichel M, Hous N, Norman D, Haddad E (2017) Reliability of smartphone-based teleradiology for evaluating thoracolumbar spine fractures. Spine J 17:161–167. https://doi.org/10.1016/j.spinee.2016.08.021

    Article  PubMed  Google Scholar 

  6. Sarode SC, Sarode GS, Anand R, Patil S, Unadkat H (2016) WhatsApp is an effective tool for obtaining second opinion in oral pathology practice. J Oral Pathol Med 46:513–519. https://doi.org/10.1111/jop.12515

    Article  PubMed  Google Scholar 

  7. Liedke GS, Spin-Neto R, Vizzotto MB, Da Silveira PF, Silveira HED, Wenzel A (2015) Diagnostic accuracy of conventional and digital radiography for detecting misfit between the tooth and restoration in metal-restored teeth. J Prosthet Dent 113:39–47. https://doi.org/10.1016/j.prosdent.2014.08.003

    Article  PubMed  Google Scholar 

  8. Ho KN, Lee SY, Huang HM (2017) Damping ratio analysis of tooth stability under various simulated degrees of vertical alveolar bone loss and different root types. Biomed Eng Online 16(97):97. https://doi.org/10.1186/s12938-017-0388-x

    Article  PubMed  PubMed Central  Google Scholar 

  9. Haak R, Wicht MJ, Hellmich M, Noack MJ (2002) Detection of marginal defects of composite restorations with conventional and digital radiographs. Eur J Oral Sci 110:282–286. https://doi.org/10.1034/j.1600-0722.2002.21271.x

    Article  PubMed  Google Scholar 

  10. Pontual AA, de Melo DP, de Almeida MP, Bóscolo FN, Haiter Neto F (2010) Comparison of digital systems and conventional dental film for the detection of approximal enamel caries. Dentomaxillofac Radiol 39:431–436. https://doi.org/10.1259/dmfr/94985823

    Article  PubMed  PubMed Central  Google Scholar 

  11. Petruzzi M, De B (2016) WhatsApp: a telemedicine platform for facilitating remote oral medicine consultation and improving clinical examinations. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 121:248–254. https://doi.org/10.1016/j.oooo.2015.11.005

    Article  Google Scholar 

  12. Abesi F, Mirshekar A, Moudi E, Seyedmajidi H, Haghighat N, Bijani A (2012) Diagnostic accuracy of digital and conventional radiography in the detection of non-cavitated approximal dental caries. Iran J Radiol 9:17–21. https://doi.org/10.5812/iranjradiol.6747

    Article  PubMed  PubMed Central  Google Scholar 

  13. Cruz AD, Castro MCN, Aguiar MF, Guimarães LS, Gomes CC (2018) Impact of room lighting and image display device in the radiographic appearances of the endodontic treatments. Dentomaxillofac Radiol 47:1–6. https://doi.org/10.1259/dmfr.20170372

    Article  Google Scholar 

  14. European Society of Radiology (2017) The new EU general data protection regulation: what the radiologist should know. Insights Imaging 8:295–299. https://doi.org/10.1007/s13244-017-0552-7

    Article  Google Scholar 

  15. de Azevedo Vaz SL, Neves FS, Figueiredo EP, Haiter-Neto F, Campos PS (2013) Accuracy of enhancement filters in measuring in vitro peri-implant bone level. Clin Oral Implants Res 24:1074–1077. https://doi.org/10.1111/j.1600-0501.2012.02511.x

    Article  PubMed  Google Scholar 

  16. Kal BI, Baksi BG, Dundar N, Sen BH (2007) Effect of various digital processing algorithms on the measurement accuracy of endodontic file length. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 103:280–284. https://doi.org/10.1016/j.tripleo.2006.06.001

    Article  PubMed  Google Scholar 

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Funding

This study was financed by the Coordination for Funding and Support of Tertiary Education (CAPES), Brazil (grant No. 12496/12-0).

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Correspondence to Gabriela Salatino Liedke.

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The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed were in accordance with the ethical standards of the institutional and/or national research committee. The human research ethics committee of Federal University of Rio Grande do Sul (certificate number, 225034) approved the study.

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Giacomini, G.O., Antonioli, C., Tibúrcio-Machado, C.S. et al. The use of smartphones in radiographic diagnosis: accuracy on the detection of marginal gaps. Clin Oral Invest 23, 1993–1996 (2019). https://doi.org/10.1007/s00784-019-02848-6

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  • DOI: https://doi.org/10.1007/s00784-019-02848-6

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