Alveolar bones density assessment of dental implant sites using cone-beam computed tomography

Wiwiek Poedjiastoeti, Muhamad Novo Perwira Lubis, Yessy Ariesanti, Intan Farizka, Jackson Dipankara, Samroeng Inglam

Abstract


ABSTRACT

Introduction: a preoperative assessment of bone density plays a vital role in the success of dental implant treatment. the maxilla and mandibular alveolar bone had a variety of bone densities. Therefore, dental imaging is an important step before placing a dental implant. Recently, Cone beam computed tomography (CBCT) is widely used in dental medicine and also recommended by AAOMR for preoperative implant placement. The aims of this study is to analyzed the alveolar bone density of the dental implant sites for dental implant planning using CBCT. Methodsninety-three CBCT data were retrieved from the database of the department of oral and maxillofacial radiology at Dental Hospital Faculty of Dentistry Universitas Trisakti and examined. The recipient sites for dental implant placement were determined based on CBCT data using implant planning software (i-Dixel). The alveolar bones value is recorded in grayscale value (GV). Results: a great variety of alveolar bone density was observed ranging from 134-891 GV. One-way ANOVA was conducted, and statistically significant was only shown at the anterior mandibular region and molar mandibular region. However, no statistical differences were observed when comparing the male and female groups using the T-test. Conclusion: Critical evaluation through dental CBCT can be made before dental implant placement in the alveolar bones. the lowest alveolar bone density was observed in maxillary molar dental implant sites with mean 322 GV and highest alveolar bone density was shown in mandibular anterior dental implant sites with mean 558.8 GV. Determining the bone density at the dental implant site before dental implant placement is crucial. Primary stability and secondary stability is determined by bone density. Therefore, higher value of alveolar bone density is needed for dental implant placement.  

Keywords: alveolar bone density assessment; dental implant; cone-beam computed tomography.


Keywords


alveolar bone density assessment; dental implant; cone-beam computed tomography.

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References


REFERENCES

Alghamdi HS, Jansen JA. The development and future of dental implants. Dent Mater J. 2020; 39(2): 167-172. DOI: 10.4012/dmj.2019-140.

Elani HW, Starr JR, Da Silva JD, Gallucci GO. Trends in dental implant use in the U.S., 1999-2016, and projections to 2026. J Dent Res. 2018; 97(13): 1424-30. DOI: 10.1177/0022034518792567.

Sulijaya B, Kuswandani SO, Soeroso Y. Contemporary guided bone regeneration therapy for unaesthetic anterior peri-implantitis case. Dent J. 2016; 49(4): 181-4. DOI: 10.20473/j.djmkg.v49.i4.p181-184

Attar BM, Alaei S, Badrian H, Davoudi A. Clinical and radiological evaluation of implants placed with osteotome sinus lift technique: 19-month follow-up. Ann Maxillofac Surg. 2016; 6(2): 190-4. DOI: 10.4103/ams.ams_7_16.

Arina YMDa, Ferdiansyah F, Rubianto M. The evaluation of mandibular bone density in chronic periodontitis models. Dent J. 2018; 51(4): 210-5. DOI: 10.20473/j.djmkg.v51.i4.p210-215

Eskandarloo A, Arabi R, Bidgoli M, Yousefi F, Poorolajal J. Association between marginal bone loss and bone quality at dental implant sites based on evidence from cone beam computed tomography and periapical radiographs. Contemp Clin Dent. 2019; 10(1): 36-41. DOI: 10.4103/ccd.ccd_185_18.

Chrcanovic BR, Albrektsson T, Wennerberg A. bone quality and quantity and dental implant failure: a systematic review and meta-analysis. Int J Pros. 2017; 30(3): 219-37. DOI: 10.11607/ijp.5142.

Fokas G, Vaughn VM, Scarfe WC, Bornstein MM. Accuracy of linear measurements on CBCT images related to presurgical implant treatment planning: a systematic review. Clin Oral Implants Res. 2018; 29(16): 393-415. DOI: 10.1111/clr.13142.

Weiss R 2nd, Read-Fuller A. Cone beam computed tomography in oral and maxillofacial surgery: an evidence-based review. Dent J (Basel). 2019; 7(2): 52. DOI: 10.3390/dj7020052.

Jacobs R, Salmon B, Codari M, Hassan B, Bornstein MM. Cone beam computed tomography in implant dentistry: recommendations for clinical use. BMC Oral Health. 2018; 18(1): 88. DOI: 10.1186/s12903-018-0523-5.

Wakimoto M, Matsumura T, Ueno T, Mizukawa N, Yanagi Y, Iida S. Bone quality and quantity of the anterior maxillary trabecular bone in dental implant sites. Clinical oral implants research. 2012; 23(11): 1314-9. DOI: 10.1111/j.1600-0501.2011.02347.x.

Igarashi C, Theramballi YG, Kobayashi K. Inter-observer reliability in cone-beam computed tomography assessment of the retromolar canal: A practical plan to improve diagnostic imaging. Imaging Sci Dent. 2022; 52(2): 181-6.DOI: 10.5624/isd.20210289.

Sreerama R, Kolluru KC, Gottumukkala V, Innampudi CK, Konathala JR, Krishnaveni G. Assessment of the effect of bone density on implant stability: a clinical study. J Pharm Bioallied Sci. 2021; 13(1): S297-S300. DOI: 10.4103/jpbs.JPBS_794_20.

Kim JH, Abdala-Junior R, Munhoz L, Cortes ARG, Watanabe PCA, Costa C et al. Comparison between different cone-beam computed tomography devices in the detection of mechanically simulated peri-implant bone defects. Imaging Sci Dent. 2020; 50(2): 133-9. DOI: 10.5624/isd.2020.50.2.133

Alkhader M, Hudieb M, Khader Y. Predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography intensity values. Eur J Dent. 2017; 11(3): 311-6. DOI: 10.4103/ejd.ejd_14_17

Razi T, Niknami M, Alavi Ghazani F. Relationship between Hounsfield Unit in CT scan and gray scale in CBCT. J Dent Res Dent Clin Dent Prospects. 2014; 8(2): 107-10. DOI: 10.5681/joddd.2014.019.

Cassetta M, Sofan AA, Altieri F, Barbato E. Evaluation of alveolar cortical bone thickness and density for orthodontic mini-implant placement. J Clin Exp Dent. 2013; 5(5): 245-52. DOI: 10.4317/jced.51228

Kim JH, Lim YJ, Kim B, Lee J. How do parameters of implant primary stability correspond with ct-evaluated bone quality in the posterior maxilla? A correlation analysis. Materials (Basel). 2021; 14(2): 270. DOI: 10.3390/ma14020270

Yu B, Wang CY. Osteoporosis and periodontal diseases - An update on their association and mechanistic links. Periodontol 2000. 2022; 89(1): 99-113. DOI: 10.1111/prd.12422.

Takaishi Y, Arita S, Honda M. Assessment of alveolar bone mineral density as a predictor of lumbar fracture probability. Adv Ther. 2013; 30(5): 487-502. DOI: 10.1007/s12325-013-0028-1

Saati S, Kaveh F, Yarmohammadi S. Comparison of cone beam computed tomography and multi slice computed tomography image quality of human dried mandible using 10 anatomical landmarks. J Clin Diagn Res. 2017; 11(2): ZC13-ZC16. DOI: 10.7860/JCDR/2017/20637.9253.

Venkatesh E, Elluru SV. Cone beam computed tomography: basics and applications in dentistry. J Istanb Univ Fac Dent. 2017; 51(3 Suppl 1): S102-S121. DOI: 10.17096/jiufd.00289.

Sirisha Attili HS, Sitaram Prasad Kasina VHC Kumar, Srilatha Balusu, Sarat CB. To evaluate the bone mineral density in mandible of edentulous patients using computed tomography: an in vivo study. J Int Oral Health. 2015; 7(4): 22–6.




DOI: https://doi.org/10.24198/pjd.vol34no3.42383

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