Diagnostic Accuracy of Cone-beam Computed Tomography with Modified Grayscale Range for Detection of Buccal Cortical Plate Defects Adjacent to Dental Implants

Overview

Journal Dent Res J (Isfahan)

Specialty Dentistry

Date 2023 Oct 9

PMID 37810449

Authors

Soophia Yaghoobi

Zahra Dalili Kajan

Negar Khosravifard

Ali Khalighi Sigaroudi

Reza Modanlou Jouybari

Affiliations

Soon will be listed here.

Abstract

Background: This study assessed the diagnostic accuracy of cone-beam computed tomography (CBCT) with a modified grayscale range for the detection of buccal cortical plate defects adjacent to dental implants.

Materials And Methods: In this experimental study, titanium implants were inserted in 168 fresh bovine bone blocks with 1-1.5 mm of buccal cortical plate thickness. The blocks were randomly divided into four groups ( = 42). No defect was created in the control blocks. In the three experimental groups, cortical plate defects were randomly created in the cervical, middle, or apical third by a round bur with a 2-mm diameter ( = 42). All blocks underwent CBCT with and without change in the grayscale range. Two observers evaluated all images regarding the presence/absence of defects. Kappa test is used for the agreement of the observers. The diagnostic accuracy of the two modalities was compared by calculating the area under the receiver operating characteristic curve (AUC) ( ≤ 0.05). The sensitivity and specificity values were also compared.

Results: The AUC was not significantly different between the two modalities with and without altered grayscale range (0.754 vs. 0.762, respectively, = 0.716). The diagnostic sensitivity of CBCT with and without change in the grayscale range was 51% and 52%, respectively, with a specificity of 100% for both. The diagnostic accuracy of CBCT with and without altered grayscale range had no significant difference for apical and middle third defects ( > 0.05) and was significantly higher than that for the cervical third defects ( < 0.05).

Conclusion: Changing the grayscale range does not improve the diagnostic accuracy of CBCT for the detection of buccal cortical plate defects adjacent to dental implants.

References

de-Azevedo-Vaz S, Vasconcelos K, Neves F, Sousa Melo S, Campos P, Haiter-Neto F . Detection of periimplant fenestration and dehiscence with the use of two scan modes and the smallest voxel sizes of a cone-beam computed tomography device. Oral Surg Oral Med Oral Pathol Oral Radiol. 2012; 115(1):121-7. DOI: 10.1016/j.oooo.2012.10.003. View

Vadiati Saberi B, Khosravifard N, Ghandari F, Hadinezhad A . Detection of peri-implant bone defects using cone-beam computed tomography and digital periapical radiography with parallel and oblique projection. Imaging Sci Dent. 2020; 49(4):265-272. PMC: 6941830. DOI: 10.5624/isd.2019.49.4.265. View

Misch K, Yi E, Sarment D . Accuracy of cone beam computed tomography for periodontal defect measurements. J Periodontol. 2006; 77(7):1261-6. DOI: 10.1902/jop.2006.050367. View

Asli H, Dalili Kajan Z, Gholizade F . Evaluation of the success rate of cone beam computed tomography in determining the location and direction of screw access holes in cement-retained implant-supported prostheses: An in vitro study. J Prosthet Dent. 2018; 120(2):220-224. DOI: 10.1016/j.prosdent.2017.09.006. View

Ludlow J, Nason Jr R, Hutchens Jr L, Moriarty J . Radiographic evaluation of alveolar crest obscured by dental implants. Implant Dent. 1995; 4(1):13-8. DOI: 10.1097/00008505-199504000-00002. View

Blanco J, Alonso A, Sanz M . Long-term results and survival rate of implants treated with guided bone regeneration: a 5-year case series prospective study. Clin Oral Implants Res. 2005; 16(3):294-301. DOI: 10.1111/j.1600-0501.2005.01106.x. View

Lekholm U, Adell R, Lindhe J, Branemark P, Eriksson B, Rockler B . Marginal tissue reactions at osseointegrated titanium fixtures. (II) A cross-sectional retrospective study. Int J Oral Maxillofac Surg. 1986; 15(1):53-61. DOI: 10.1016/s0300-9785(86)80011-4. View

Albrektsson T, Zarb G . Determinants of correct clinical reporting. Int J Prosthodont. 1999; 11(5):517-21. View

Kurt M, Bagis N, Evli C, Atakan C, Orhan K . Comparison of the different voxel sizes in the estimation of peri-implant fenestration defects using cone beam computed tomography: an ex vivo study. Int J Implant Dent. 2020; 6(1):58. PMC: 7530157. DOI: 10.1186/s40729-020-00254-2. View

10.

Raes F, Renckens L, Aps J, Cosyn J, De Bruyn H . Reliability of circumferential bone level assessment around single implants in healed ridges and extraction sockets using cone beam CT. Clin Implant Dent Relat Res. 2011; 15(5):661-72. DOI: 10.1111/j.1708-8208.2011.00393.x. View

11.

Bayrak S, Orhan K, Cakmak E, Gorurgoz C, Odabasi O, Yilmaz D . Evaluation of a metal artifact reduction algorithm and an optimization filter in the estimation of peri-implant dehiscence defects by using cone beam computed tomography: an in-vitro study. Oral Surg Oral Med Oral Pathol Oral Radiol. 2020; 130(2):209-216. DOI: 10.1016/j.oooo.2020.02.005. View

12.

Kamburoglu K, Kolsuz E, Murat S, Eren H, Yuksel S, Paksoy C . Assessment of buccal marginal alveolar peri-implant and periodontal defects using a cone beam CT system with and without the application of metal artefact reduction mode. Dentomaxillofac Radiol. 2013; 42(8):20130176. PMC: 3922259. DOI: 10.1259/dmfr.20130176. View

13.

Domic D, Bertl K, Ahmad S, Schropp L, Hellen-Halme K, Stavropoulos A . Accuracy of cone-beam computed tomography is limited at implant sites with a thin buccal bone: A laboratory study. J Periodontol. 2020; 92(4):592-601. PMC: 8247288. DOI: 10.1002/JPER.20-0222. View

14.

Dalili Kajan Z, Abbasi S, Khosravifard N, Khalighi Sigaroudi A, Motevasseli S . Efficacy of cone-beam computed tomography with modified gray-scale range versus digital periapical radiography for the assessment of bone-implant interface gaps. Oral Radiol. 2021; 38(1):80-88. DOI: 10.1007/s11282-021-00529-3. View

15.

Razavi T, Palmer R, Davies J, Wilson R, Palmer P . Accuracy of measuring the cortical bone thickness adjacent to dental implants using cone beam computed tomography. Clin Oral Implants Res. 2010; 21(7):718-25. DOI: 10.1111/j.1600-0501.2009.01905.x. View

16.

Dave M, Davies J, Wilson R, Palmer R . A comparison of cone beam computed tomography and conventional periapical radiography at detecting peri-implant bone defects. Clin Oral Implants Res. 2012; 24(6):671-8. DOI: 10.1111/j.1600-0501.2012.02473.x. View

17.

Eskandarloo A, Saati S, Ardakani M, Jamalpour M, Gholi Mezerji N, 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. PMC: 6104358. DOI: 10.4103/ccd.ccd_103_18. View

18.

Pinsky H, Dyda S, Pinsky R, Misch K, Sarment D . Accuracy of three-dimensional measurements using cone-beam CT. Dentomaxillofac Radiol. 2006; 35(6):410-6. DOI: 10.1259/dmfr/20987648. View

19.

Leung C, Palomo L, Griffith R, Hans M . Accuracy and reliability of cone-beam computed tomography for measuring alveolar bone height and detecting bony dehiscences and fenestrations. Am J Orthod Dentofacial Orthop. 2010; 137(4 Suppl):S109-19. DOI: 10.1016/j.ajodo.2009.07.013. View

20.

Kamburoglu K, Murat S, Kilic C, Yuksel S, Avsever H, Farman A . Accuracy of CBCT images in the assessment of buccal marginal alveolar peri-implant defects: effect of field of view. Dentomaxillofac Radiol. 2014; 43(4):20130332. PMC: 4082260. DOI: 10.1259/dmfr.20130332. View