Abstract
Objectives
To evaluate the influence of digital filters of intraoral radiographic systems on the diagnosis of simulated internal and external root resorptions and image quality.
Materials and methods
Internal root resorption (IRR) and external root resorption (ERR) were simulated in 34 teeth. For image acquisition, two radiographic systems were used: Digora Toto and VistaScan. All filters available in these systems were applied. Three observers scored the detection of root resorptions in a 5-point scale. The noise and the contrast-to-noise ratio (CNR) were calculated. The area under ROC curve, sensitivity, specificity, and accuracy were obtained. One-way ANOVA with Tukey’s post hoc tests compared the diagnostic values, noise, and CNR between the filters (α = 0.05).
Results
For ERR, there were no significant differences in diagnostic values between the filters tested for both systems. For IRR, Original and Noise Reduction filters presented higher sensitivity than the Sharpen2 filter for images from Digora Toto, with no differences between the other groups. For VistaScan, there were no significant differences of diagnostic values between the groups studied. Noise values differed among the filters of both systems. The CNR of the filters differed only for the bone region for Digora Toto, while for VistaScan, both tooth and bone regions differed.
Conclusions
Despite promoting changes in pixel intensities and affecting the noise level of the radiographic images, the digital filters of Digora Toto and VistaScan systems do not affect the diagnosis of internal or external root resorptions.
Clinical relevance
Digital filters are common tools in digital radiographic systems and may be used by the professional without impairment in root resorptions diagnosis.
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References
Vidor MM, Liedke GS, Vizzotto MB et al (2017) Imaging evaluating of the implant/bone interface—an in vitro radiographic study. Dentomaxillofacial Radiol 46:20160296. https://doi.org/10.1259/dmfr.20160296
Brasil DM, Yamasaki MC, Santaella GM et al (2018) Influence of VistaScan image enhancement filters on diagnosis of simulated periapical lesions on intraoral radiographs. Dentomaxillofacial Radiol 48:20180146. https://doi.org/10.1259/dmfr.20180146
Oliveira-Santos N, Michels M, Freitas DQ et al (2019) Influence of phosphor plate–based radiographic image specifications on fractal analysis of alveolar bone. Oral Surg Oral Med Oral Pathol Oral Radiol 128:418–423. https://doi.org/10.1016/j.oooo.2019.06.011
Haiter-Neto F, Spinelli Casanova M, Frydenberg M, Wenzel A (2009) Task-specific enhancement filters in storage phosphor images from the Vistascan system for detection of proximal caries lesions of known size. Oral Surg Oral Med Oral Pathol Oral Radiol 107:116–121. https://doi.org/10.1016/j.tripleo.2008.09.031
de Azevedo Vaz SL, Neves FS, Figueirêdo EP et al (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
Nascimento HAR, Ramos ACA, Neves FS et al (2015) The ‘Sharpen’ filter improves the radiographic detection of vertical root fractures. Int Endod J 48:428–434. https://doi.org/10.1111/iej.12331
Darcey J, Qualtrough A (2013) Resorption: Part 1. Pathology, classification and aetiology. Br Dent J 214:439–451. https://doi.org/10.1038/sj.bdj.2013.431
Lima TF, Gamba TO, Zaia AA, Soares AJ (2016) Evaluation of cone beam computed tomography and periapical radiography in the diagnosis of root resorption. Aust Dent J 61:425–431. https://doi.org/10.1111/adj.12407
Nascimento EHL, Gaêta-Araujo H, Galvão NS et al (2019) Effect of brightness and contrast variation for detectability of root resorption lesions in digital intraoral radiographs. Clin Oral Investig 23:3379–3386. https://doi.org/10.1007/s00784-018-2764-8
Clark JL, Wadhwani CP, Abramovitch K et al (2018) Effect of image sharpening on radiographic image quality. J Prosthet Dent: 1–7. https://doi.org/10.1016/j.prosdent.2018.03.034
Gaêta-Araujo H, Nascimento EHL, Oliveira-Santos N et al (2020) Influence of adjacent teeth restored with metal posts in the detection of simulated internal root resorption using CBCT. Int Endod J 53:1299–1306. https://doi.org/10.1111/iej.13348
Sousa Melo SL, de Faria Vasconcelos K, Holton N et al (2017) Impact of cone-beam computed tomography scan mode on the diagnostic yield of chemically simulated external root resorption. Am J Orthod Dentofac Orthop 151:1073–1082. https://doi.org/10.1016/j.ajodo.2016.10.041
Belém MDF, Tabchoury CPM, Ferreira-Santos RI et al (2013) Performance of a photostimulable storage phosphor digital system with or without the sharpen filter and cone beam CT for detecting approximal enamel subsurface demineralization. Dentomaxillofacial Radiol 42:20120313. https://doi.org/10.1259/dmfr.20120313
Brüllmann DD, Kempkes B, D’Hoedt B, Schulze R (2013) Contrast curves of five different intraoral X-ray sensors: A technical note. Oral Surg Oral Med Oral Pathol Oral Radiol 115:e55–e61. https://doi.org/10.1016/j.oooo.2013.03.007
Landis JR, Koch GG (1977) The Measurement of Observer Agreement for Categorical Data. Biometrics 33:159–174
Faul F, Erdfelder E, Lang AG, Buchner A (2007) G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39:175–191. https://doi.org/10.3758/BF03193146
Altman DG, Bland JM (1995) Statistics notes: Absence of evidence is not evidence of absence. BMJ 311:485–485. https://doi.org/10.1136/bmj.311.7003.485
Gaêta-Araujo H, Nascimento EHL, Oliveira-Santos N et al (2020) Effect of digital enhancement on the radiographic assessment of vertical root fractures in the presence of different intracanal materials: an in vitro study. Clin Oral Investig: 4–6. https://doi.org/10.1007/s00784-020-03353-x
Costa ED, Brasil DM, Gaêta-Araujo H et al (2021) Do image enhancement filters in complementary metal oxide semiconductor and photostimulable phosphor imaging systems improve the detection of fractured endodontic instruments in periapical radiography? Oral Surg Oral Med Oral Pathol Oral Radiol 131:247–255. https://doi.org/10.1016/j.oooo.2020.07.013
Ren H, Chen J, Deng F et al (2013) Comparison of cone-beam computed tomography and periapical radiography for detecting simulated apical root resorption. Angle Orthod 83:189–195. https://doi.org/10.2319/050512-372.1
Creanga AG, Geha H, Sankar V et al (2015) Accuracy of digital periapical radiography and cone-beam computed tomography in detecting external root resorption. Imaging Sci Dent 45:153–158. https://doi.org/10.5624/isd.2015.45.3.153
Wenzel A, Sewerin I (1991) Sources of noise in digital subtraction radiography. Oral Surg Oral Med Oral Pathol 71:503–508. https://doi.org/10.1016/0030-4220(91)90441-E
Huda W, Abrahams RB (2015) Radiographic techniques, contrast, and noise in x-ray imaging. AJR Am J Roentgenol 204:W126–W131. https://doi.org/10.2214/AJR.14.13116
Soares LE, Freitas DQ, de Lima KL et al (2021) Application of image processing techniques to aid in the detection of vertical root fractures in digital periapical radiography. Clin Oral Investig 25:5077–5085. https://doi.org/10.1007/s00784-021-03820-z
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This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior — Brasil (CAPES) — Finance Code 001.
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This study design was approved by the local Institutional Ethics Committee under protocol number #57589316.0.0000.5418, and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Oliveira-Santos, N., Gaêta-Araujo, H., Ruiz, D.C. et al. The impact of digital filters on the diagnosis of simulated root resorptions in digital radiographic systems. Clin Oral Invest 26, 4743–4752 (2022). https://doi.org/10.1007/s00784-022-04438-5
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DOI: https://doi.org/10.1007/s00784-022-04438-5