Efficiency of Near-Infrared Technology in the Clinical Detection of Carious Lesions: A Systematic Review

 

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Abstract

The field of dentistry has seen various technological advances regarding caries detection, some lesions still prove to be difficult to detect. A reasonably new detection method, near-infrared (NIR), has shown good results in caries detection. This systematic review aims to compare NIR with conventional methods in terms of caries detection. Online databases (PubMed, Scopus, ScienceDirect, EBSCO, and ProQuest) were used for the literature search. The search was performed from January 2015 till December-2020. A total of 770 articles were selected, of that 17 articles qualified for the final analysis as per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The articles were assessed according to a modified Critical Appraisal Skills Programme checklist, and then synthesis of the review started. The inclusion criteria were clinical trials done in vivo on teeth with active caries of vital or nonvital teeth. This review excluded nonpeer reviewed articles, case reports, case series, opinions, abstracts, non-English written articles, studies of subjects with arrested caries, or teeth with developmental defects of tooth structure and teeth having environmental defects of tooth structure, as well as in-vitro studies. The review compared near-infrared technology with radiography, visual inspection, and laser fluorescence in terms of caries detection, sensitivity, specificity, and accuracy. The sensitivity of NIR ranged from 99.1 to 29.1%. Studies showed that NIR exhibited higher sensitivity for occlusal enamel and dentin caries. The specificity of NIR ranged from 94.1 to 20.0%. In enamel and dentinal occlusal caries, NIR demonstrated lower specificity than that of radiograph. The specificity of NIR in early proximal caries was low. Accuracy was determined in 5 out of 17 studies where the values ranged from 97.1 to 29.1%. The accuracy of NIR was the highest for dentinal occlusal caries. NIR shows promising evidence as an adjunct in caries examination due to its high sensitivity and specificity; however, more studies are required to determine its full potential in different situations.

Ethical Approval

Systematic reviews do not require ethical approval according to guidelines of Institutional review board, University of Sharjah.

Availability of Supporting Data

10.6084/m9.figshare.20055287

Publication History

Article published online:
04 March 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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• References

• 1 Gomez J. Detection and diagnosis of the early caries lesion. BMC Oral Health 2015; 15 (Suppl 1, Suppl 1): S3
  CrossrefPubMedGoogle Scholar
• 2 Jablonski-Momeni A, Jablonski B, Lippe N. Clinical performance of the near-infrared imaging system VistaCam iX Proxi for detection of approximal enamel lesions. BDJ Open 2017; 3: 17012
  CrossrefPubMedGoogle Scholar
• 3 Lara-Capi C, Cagetti MG, Lingström P. et al. Digital transillumination in caries detection versus radiographic and clinical methods: an in-vivo study. Dentomaxillofacial Radiol 2017; 46 (04) 20160417
  CrossrefPubMedGoogle Scholar
• 4 Kocak N, Cengiz-Yanardag E. Clinical performance of clinical-visual examination, digital bitewing radiography, laser fluorescence, and near-infrared light transillumination for detection of non-cavitated proximal enamel and dentin caries. Lasers Med Sci 2020; 35 (07) 1621-1628
  CrossrefPubMedGoogle Scholar
• 5 Angelino K, Edlund DA, Shah P. Near-infrared imaging for detecting caries and structural deformities in teeth. IEEE J Transl Eng Health Med 2017; 5: 2300107
  CrossrefPubMedGoogle Scholar
• 6 De Zutter M, Vandenbulcke JD, Van Acker JWG, Martens LC. In vivo correlation of near-infrared transillumination and visual inspection with bitewing radiography for the detection of interproximal caries in permanent and primary teeth. Eur Arch Paediatr Dent 2020; 21 (04) 509-518
  CrossrefPubMedGoogle Scholar
• 7 Alamoudi NM, Khan JA, El-Ashiry EA, Felemban OM, Bagher SM, Al-Tuwirqi AA. Accuracy of the DIAGNOcam and bitewing radiographs in the diagnosis of cavitated proximal carious lesions in primary molars. Niger J Clin Pract 2019; 22 (11) 1576-1582
  CrossrefPubMedGoogle Scholar
• 8 Tassoker M, Ozcan S, Karabekiroglu S. Occlusal caries detection and diagnosis using visual ICDAS criteria, laser fluorescence measurements, and near-infrared light transillumination images. Med Princ Pract 2020; 29 (01) 25-31
  CrossrefPubMedGoogle Scholar
• 9 Brice R. CASP CHECKLISTS - CASP - Critical Appraisal Skills Programme [Internet]. CASP - Critical Appraisal Skills Programme. 2021 [cited 2021 Apr 14]. Accessed December 15, 2022 at: https://casp-uk.net/casp-tools-checklists/
• 10 Baltacioglu IH, Orhan K. Comparison of diagnostic methods for early interproximal caries detection with near-infrared light transillumination: an in vivo study. BMC Oral Health 2017; 17 (01) 130
  CrossrefPubMedGoogle Scholar
• 11 Abdelaziz M, Krejci I, Perneger T, Feilzer A, Vazquez L. Near infrared transillumination compared with radiography to detect and monitor proximal caries: a clinical retrospective study. J Dent 2018; 70 (August): 40-45
  CrossrefPubMedGoogle Scholar
• 12 Jadad AR, Moore RA, Carroll D. et al. Assessing the quality of reports of randomized clinical trials: is blinding necessary?. Control Clin Trials 1996; 17 (01) 1-12
  CrossrefPubMedGoogle Scholar
• 13 Ozkan G, Guzel KGU. Clinical evaluation of near-infrared light transillumination in approximal dentin caries detection. Lasers Med Sci 2017; 32 (06) 1417-1422
  CrossrefPubMedGoogle Scholar
• 14 Simon JC, Lucas SA, Staninec M. et al. Near-IR transillumination and reflectance imaging at 1,300 nm and 1,500-1,700 nm for in vivo caries detection. Lasers Surg Med 2016; 48 (09) 828-836
  CrossrefPubMedGoogle Scholar
• 15 Schaefer G, Pitchika V, Litzenburger F, Hickel R, Kühnisch J. Evaluation of occlusal caries detection and assessment by visual inspection, digital bitewing radiography and near-infrared light transillumination. Clin Oral Investig 2018; 22 (07) 2431-2438
  CrossrefPubMedGoogle Scholar
• 16 Melo M, Pascual A, Camps I, Ata-Ali F, Ata-Ali J. Combined near-infrarred light transillumination and direct digital radiography increases diagnostic in approximal caries. Sci Rep 2019; 9 (01) 14224
  CrossrefPubMedGoogle Scholar
• 17 Dündar A, Çiftçi ME, İşman Ö, Aktan AM. In vivo performance of near-infrared light transillumination for dentine proximal caries detection in permanent teeth. Saudi Dent J 2020; 32 (04) 187-193
  CrossrefPubMedGoogle Scholar
• 18 Kühnisch J, Söchtig F, Pitchika V. et al. In vivo validation of near-infrared light transillumination for interproximal dentin caries detection. Clin Oral Investig 2016; 20 (04) 821-829
  CrossrefPubMedGoogle Scholar
• 19 Berg SC, Stahl JM, Lien W, Slack CM, Vandewalle KS. A clinical study comparing digital radiography and near-infrared transillumination in caries detection. J Esthet Restor Dent 2018; 30 (01) 39-44
  CrossrefPubMedGoogle Scholar
• 20 Al Shaya SA, Saeed MH, Kheder WM. Proximal caries detection in permanent teeth by using DIAGNOcam: an in vivo study. J Int Dent Med Res 2018; 11 (01) 45-50
  Google Scholar
• 21 Simon JC, Kang H, Staninec M. et al. Near-IR and CP-OCT imaging of suspected occlusal caries lesions. Lasers Surg Med 2017; 49 (03) 215-224
  CrossrefPubMedGoogle Scholar
• 22 Nokhbatolfoghahaie H, Alikhasi M, Chiniforush N, Khoei F, Safavi N, Yaghoub Zadeh B. Evaluation of accuracy of DIAGNOdent in diagnosis of primary and secondary caries in comparison to conventional methods. J Lasers Med Sci 2013; 4 (04) 159-167
  PubMedGoogle Scholar
• 23 Mendes FM, Siqueira WL, Mazzitelli JF, Pinheiro SL, Bengtson AL. Performance of DIAGNOdent for detection and quantification of smooth-surface caries in primary teeth. J Dent 2005; 33 (01) 79-84
  CrossrefPubMedGoogle Scholar
• 24 Mazur M, Jedliński M, Ndokaj A. et al. Diagnostic drama. Use of ICDAS II and fluorescence-based intraoral camera in early occlusal caries detection: a clinical study. Int J Environ Res Public Health 2020; 17 (08) 2937
  CrossrefPubMedGoogle Scholar
• 25 Söchtig F, Hickel R, Kühnisch J. Caries detection and diagnostics with near-infrared light transillumination: clinical experiences. Quintessence Int 2014; 45 (06) 531-538
  PubMedGoogle Scholar
• 26 Fried WA, Simon JC, Darling CL, Le O, Fried D. High-contrast reflectance imaging of composite restorations color-matched to tooth structure at 1000–2300-nm. Proc SPIE Int Soc Opt Eng 2017; ;10044:100440J. DOI: 10.1117/12.2256733.
  CrossrefPubMedGoogle Scholar
• 27 Staninec M, Lee C, Darling CL, Fried D. In vivo near-IR imaging of approximal dental decay at 1,310 nm. Lasers Surg Med 2010; 42 (04) 292-298
  CrossrefPubMedGoogle Scholar
• 28 Simon JC, Lucas S, Lee R. et al. In vitro near-infrared imaging of natural secondary caries. Proc SPIE Int Soc Opt Eng 2015; 9306: 93060F
  PubMedGoogle Scholar
• 29 Fried D, Staninec M, Darling CL, Lee C, Kang H, Chan KH. In vivo near-IR imaging of occlusal lesions at 1310 nm. Proc SPIE 2011; 7884 (78840B): 78840B
  CrossrefPubMedGoogle Scholar
• 30 Bansal GJ. Digital radiography. A comparison with modern conventional imaging. Postgrad Med J 2006; 82 (969) 425-428
  CrossrefPubMedGoogle Scholar