Dental and Medical Problems

Dent Med Probl
Index Copernicus (ICV 2020) – 128.41
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CiteScore (2021) – 2.0
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ISSN 1644-387X (print)
ISSN 2300-9020 (online)
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Dental and Medical Problems

2019, vol. 56, nr 4, October-December, p. 357–363

doi: 10.17219/dmp/109902

Publication type: original article

Language: English

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Creative Commons BY-NC-ND 3.0 Open Access

Evaluation of the efficacy of the metal artifact reduction algorithm in the detection of a vertical root fracture in endodontically treated teeth in cone-beam computed tomography images: An in vitro study

Ocena skuteczności algorytmu redukującego artefakty pochodzące od elementów metalowych w rozpoznawaniu pionowego złamania korzeni zębów leczonych endodontycznie w tomografii stożkowej – badanie in vitro

Samira Saati1,A,E, Amir Eskandarloo1,A, Alireza Falahi2,C, Leili Tapak3,4,C, Bahareh Hekmat5,A,B,D,E,F

1 Department of Oral and Maxillofacial Radiology, Hamadan University of Medical Sciences, Iran

2 Department of Biomedical Engineering, Hamadan University of Technology, Iran

3 Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Iran

4 Modeling of Non-Communicable Diseases Research Center, Hamadan University of Medical Sciences, Iran

5 Department of Oral and Maxillofacial Radiology, School of Dentistry, Zanjan University of Medical Sciences, Iran

Abstract

Background. Three-dimensional (3D) cone-beam computed tomography (CBCT) scans play an important role in dental diagnostics and treatment planning, especially in detecting vertical root fractures (VRFs). However, artifacts caused by high-density dental materials can negatively affect the quality of CBCT images by decreasing contrast and masking structures.
Objectives. The aim of this study was to assess the efficacy of artifact removal software in detecting VRFs in endodontically treated teeth on CBCT scans.
Material and Methods. This study evaluated 70 endodontically treated single-rooted teeth. Half of the teeth were cracked by introducing a wedge into the canal and tapping gently with a hammer; the rest remained untouched as a control group. The teeth were then mounted in a bovine rib bone. Soft tissue was simulated using red dental wax. Cone-beam computed tomography scans were taken using the NewTom® 3G, ProMax® 3D and Cranex® 3D CBCT systems, and the MATLAB software was applied. The images were evaluated by 2 oral and maxillofacial radiologists, and the results were recorded in a checklist. The data was analyzed using the κ coefficient, McNemar’s test and the receiver operating characteristic (ROC) curves.
Results. A significant inter-observer agreement was noted between the 2 observers in detecting VRFs using all CBCT systems. In all systems, the use of the MATLAB software improved the detection of VRFs, but the difference was not significant in the NewTom 3G (p = 0.119) and ProMax 3D (p = 0.455) systems. However, the difference was significant in the Cranex 3D system (p = 0.039).
Conclusion. The MATLAB artifact removal software can enhance the detection of VRFs on CBCT scans to some extent.

Key words

cone-beam computed tomography, artifact, fracture, endodontically treated

Słowa kluczowe

tomografia stożkowa, artefakt, złamanie, leczony endodontycznie

References (32)

  1. Queiroz PM, Oliveira ML, Groppo FC, Haiter-Neto F, Freitas DQ. Evaluation of metal artefact reduction in cone-beam computed tomography images of different dental materials. Clin Oral Investig. 2018;22(1):419–423.
  2. Fox A, Basrani B, Lam EWN. The performance of a zirconium-based root filling material with artifact reduction properties in the detection of artificially induced root fractures using cone-beam computed tomographic imaging. J Endod. 2018;44(5):828–833.
  3. Queiroz PM, Groppo FC, Oliveira ML, Haiter-Neto F, Freitas DQ. Evalu­ation of the efficacy of a metal artifact reduction algorithm in dif­ferent cone-beam computed tomography scanning parameters. Oral Surg Oral Med Oral Pathol Oral Radiol. 2017;123(6):729–734.
  4. Eskandarloo A, Saati S, Ardakani MP, Jamalpour M, Gholi Mezerji NM, Akheshteh V. Diagnostic accuracy of three cone-beam computed tomography systems and periapical radiography for detection of fenestration around dental implants. Contemp Clin Dent. 2018;9(3):376–381.
  5. Iikubo M, Nishioka T, Okura S, et al. Influence of voxel size and scan field of view on fracture-like artifacts from gutta-percha obturated endodontically treated teeth on cone-beam computed tomography images. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016;122(5):631–637.
  6. Shokri A, Lari S, Yousef F, Hashemi L. Assessment of the relationship between the maxillary sinus floor and maxillary posterior teeth roots using cone-beam computed tomography. J Contemp Dent Pract. 2014;15(5):618–622.
  7. Brito‐Júnior M, Santos L, Faria‐e‐Silva A, Pereira RD, Sousa‐Neto MD. Ex vivo evaluation of artifacts mimicking fracture lines on cone‐beam computed tomography produced by different root canal sealers. Int Endod J. 2014;47(1):26–31.
  8. Durack C, Patel S. Cone-beam computed tomography in endodontics. Braz Dent J. 2012;23(3):179–191.
  9. Salemi F, Shokri A, Maleki FH, et al. Effect of field of view on detection of condyle bone defects using cone-beam computed tomo­graphy. J Craniofac Surg. 2016;27(3):644–648.
  10. Dalili Kajan Z, Taramsari M, Khosravi Fard N, Khaksari F, Moghasem Hamidi F. The efficacy of metal artifact reduction mode in cone-beam computed tomography images on diagnostic accuracy of root fractures in teeth with intracanal posts. Iran Endod J. 2018;13(1):47–53.
  11. Vasconcelos KF, Nicolielo LF, Nascimento MC, et al. Artefact expression associated with several cone‐beam computed tomographic machines when imaging root-filled teeth. Int Endod J. 2015;48(10):994–1000.
  12. Iikubo M, Osano T, Sano T, et al. Root canal filling materials spread pattern-mimicking root fractures in dental CBCT images. Oral Surg Oral Med Oral Pathol Oral Radiol. 2015;120(4):521–527.
  13. Bechara B, Alex McMahan C, Moore WS, Noujeim M, Teixeira FB, Geha H. Cone-beam CT scans with and without artefact reduction in root fracture detection of endodontically treated teeth. Dentomaxillofac Radiol. 2013;42(5):20120245.
  14. Schulze R, Heil U, Gross D, et al. Artefacts in CBCT: A review. Dentomaxillofac Radiol. 2011;40(5):265–273.
  15. Khedmat S, Rouhi N, Drage N, Shokouhinejad N, Nekoofar MH. Evaluation of three imaging techniques for the detection of vertical root fractures in the absence and presence of gutta‐percha root fillings. Int Endod J. 2012;45(11):1004–1009.
  16. De Martin e Silva D, Campos CN, Pires Carvalho AC, Devito KL. Diagnosis of mesiodistal vertical root fractures in teeth with metal posts: Influence of applying filters in cone-beam computed tomography images at different resolutions. J Endod. 2018;44(3):470–474.
  17. Angelopoulos C, Aghaloo T. Imaging technology in implant diagnosis. Dent Clin North Am. 2011;55(1):141–158.
  18. Eskandarloo A, Asl AM, Jalalzadeh M, et al. Effect of time lapse on the diagnostic accuracy of cone-beam computed tomography for detection of vertical root fractures. Braz Dent J. 2016;27(1):16–21.
  19. Bagis N, Kolsuz ME, Kursun S, Orhan K. Comparison of intraoral radio­graphy and cone-beam computed tomography for the detection of periodontal defects: An in vitro study. BMC Oral Health. 2015;15:64.
  20. Hekmatian E, Karbasi Kheir M, Fathollahzade H, Sheikhi M. Detection of vertical root fractures using cone-beam computed tomo­graphy in the presence and absence of gutta-percha. ScientificWorldJournal. 2018;2018:1920946.
  21. Kamburoğlu K, Murat S, Yüksel SP, Cebeci AR, Horasan S. Detection of vertical root fracture using cone-beam computerized tomo­graphy: An in vitro assessment. Oral Surg Oral Med Oral Pathol Oral Radiol Endodont. 2010;109(2):e74–e81.
  22. Hassan B, Metska ME, Ozok AR, van der Stelt P, Wesselink PR. Detection of vertical root fractures in endodontically treated teeth by a cone-beam computed tomography scan. J Endod. 2009;35(5):719–722.
  23. Queiroz PM, Santaella GM, da Paz TD, Freitas DQ. Evaluation of a metal artefact reduction tool on different positions of a metal object in the FOV. Dentomaxillofac Radiol. 2017;46(3):20160366.
  24. Maltz JS, Gangadharan B, Bose S, et al. Algorithm for X‑ray scatter, beam-hardening, and beam profile correction in diagnostic (kilovoltage) and treatment (megavoltage) cone beam CT. IEEE Trans Med Imaging. 2008;27(12):1791–1810.
  25. Bechara B, McMahan CA, Geha H, Noujeim M. Evaluation of a cone-beam CT artefact reduction algorithm. Dentomaxillofac Radiol. 2012;41(5):422–428.
  26. Tofangchiha M, Adel M, Tavakolian E, Ghaffari P, Jabbarian R. The effect of metal artifacts reduction algorithm on diagnostic accuracy of vertical root fracture by cone-beam computed tomography, an in vitro study. Sch J Dent Sci. 2017;4(3):115–120.
  27. Metska ME, Aartman IHA, Wesselink PR, Özok AR. Detection of vertical root fractures in vivo in endodontically treated teeth by cone-beam computed tomography scans. J Endod. 2012;38(10):1344–1347.
  28. Johari M, Esmaeili F, Andalib A, Garjani S, Saberkari H. Detection of vertical root fractures in intact and endodontically treated premolar teeth by designing a probabilistic neural network: An ex vivo study. Dentomaxillofac Radiol. 2017;46(2):20160107.
  29. Pauwels R, Araki K, Siewerdsen J, Thongvigitmanee SS. Technical aspects of dental CBCT: State of the art. Dentomaxillofac Radiol. 2015;44(1):20140224.
  30. Panjnoush M, Kheirandish Y, Kashani PM, Fakhar HB, Younesi F, Mallahi M. Effect of exposure parameters on metal artifacts in cone-beam computed tomography. J Dent (Tehran). 2016;13(3):143–150.
  31. Taylor C. Evaluation of the effects of positioning and configuration on contrast-to-noise ratio in the quality control of a 3D Accuitomo 170 dental CBCT system. Dentomaxillofac Radiol. 2016;45(5):20150430.
  32. Shokri A, Shakibaei Z, Langaroodi AJ, Safaei M. Evaluation of the mandibular canal visibility on cone-beam computed tomography images of the mandible. J Craniofac Surg. 2014;25(3):e273–e277.