Next Article in Journal
Effect of Dietary Fiber on the Composition of the Murine Dental Microbiome
Next Article in Special Issue
Cone-Beam Computed Tomography in Orthodontics
Previous Article in Journal
An Overview of Different Interdental Cleaning Aids and Their Effectiveness
Previous Article in Special Issue
Cone Beam Computed Tomography in Oral and Maxillofacial Surgery: An Evidence-Based Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Role of Cone-Beam Computed Tomography in the Management of Periodontal Disease

by
V. Thomas Eshraghi
1,2,3,*,
Kyle A. Malloy
4 and
Mehrnaz Tahmasbi
5
1
Private Practice, Tualatin, OR 97062, USA
2
Private Practice, Beaverton, OR 97006, USA
3
Department of Periodontology, Oregon Health & Science University, Portland, OR 97201, USA
4
Private Practice, Portland, OR 97266, USA
5
Department of Diagnostic Sciences, Texas A&M College of Dentistry, Dallas, TX 75246, USA
*
Author to whom correspondence should be addressed.
Dent. J. 2019, 7(2), 57; https://doi.org/10.3390/dj7020057
Submission received: 4 March 2019 / Revised: 10 April 2019 / Accepted: 12 April 2019 / Published: 1 June 2019
(This article belongs to the Special Issue Imaging Science in Dentistry)

Abstract

:
The goal of this paper was to review the current literature surrounding the use of cone beam computed tomography (CBCT) related to the diagnosis, prognostic determination, and treatment of periodontal diseases. A literature review was completed to identify peer-reviewed articles related to CBCT and periodontics. The results were filtered to pool only articles specific to CBCT and periodontal diagnosis, prognosis, and treatment/outcomes. The articles were reviewed and findings summarized. Author’s commentary on technological advances and additional potential uses of CBCT in the field of periodontics were included. There is evidence to suggest that CBCT imaging can be more accurate in diagnosing specific periodontal defects (intrabony and furcation defects), and therefore be helpful in the prognostic determination and treatment planning. However, at this time, CBCT cannot be recommended as the standard of care. It is up to the individual clinician to use one’s own judgment as to when the additional information provided by CBCT may be beneficial, while applying the As Low As Reasonably Achievable (ALARA) principle. With continued technological advances in CBCT imaging (higher resolution, reduced imaging artifacts, lower exposure, etc.) the author’s believe that CBCT usage will become more prominent in diagnosis and treatment of periodontal diseases.

1. Introduction

Periodontal diseases have high prevalence in both developed and developing nations affecting upwards of 20 to 50% of global populations [1]. Established risk factors associated with periodontal disease include diabetes, smoking, genetic pre-disposition, stress, medications, and other factors. Recent evidence has shown strong association of periodontal disease with cardiovascular disease, diabetes, and adverse pregnancy outcomes [2].
Poorly controlled periodontal diseases are characterized by attachment loss, bone loss and in the most severe progression, tooth loss. The first step in disease management is proper diagnosis. Diagnosing periodontal defects classically has relied upon interpretation of two-dimensional (2D) radiographs combined with a clinical evaluation consisting of probing depths, bone sounding and tracking indices related to marginal inflammation, bleeding on probing and purulent discharge [3,4,5,6]. 2D imaging modalities are easily acquired, high resolution and cost effective with minimal radiation exposure. However, they are not without limitations [7] and studies have indicated that intra-oral radiography underestimates bone loss due to projection and or observer errors [8,9,10]. While reliable, defects in the straight buccal, lingual, as well as furcations of affected teeth can be difficult or impossible to properly diagnose requiring further surgical extension for diagnosis and treatment [11]. While direct visualization via flap reflection is a viable treatment, it may result in an unproductive surgical outcome, extra clinical time, and an untimely discussion of alternative treatment options during surgery.
Cone beam computed tomography (CBCT) imaging is a powerful tool allowing for the diagnosis of three-dimensional (3D) structures and is well documented as a tool for accurate quantification and locating anatomic structures. With widespread use of CBCT technology and the ability to see circumferential regions of the mouth, it has been a natural hope that bony defects and furcations could become identifiable with less invasiveness and clearly visible as a patient education tool as well.
The aim of this paper was two-fold: (1) to review current evidence-based literature and determine the efficacy of CBCT for management of periodontal disease and (2) to discuss current limitations and possible future applications.

1.1. Current Evidence of CBCT and Periodontal Therapies

With the prevalence of CBCT, new research is emerging with evidence to support its role in periodontal treatment. Although the data is limited, what is available highlights the potential for a greater role of CBCT in periodontal therapy. The areas with the current best evidence to support the use of CBCT in periodontal therapy are advanced radiographic diagnosis and post-surgical evaluation.
The gold standard for periodontal examination has been, and continues to be, completion of a clinical evaluation (including probing depths, bleeding/suppuration on probing, mobility, attachment level, furcation involvement, etc.) and radiographic evaluation (bite wing and periapical images). This conventional assessment has long been the most accurate for diagnosis of periodontal disease, including the presence of intrabony defects and furcation involvement. Although the presence of intrabony defects and furcation involvement can be well identified with clinical evaluation and a standard 2D intraoral radiographic exam (IOR), evidence is emerging that CBCT imaging is a beneficial addition during the diagnostic process.
Braun et al. [12] have reported that CBCT is superior to IOR in the detection of intrabony defects and furcation involvement. Overall, correct identification of intrabony defects occurred 82.7% using IOR and 99.7% with CBCT. CBCT was also better at identifying furcation involvement (94.8%) compared to IOR (75.6%). Their conclusion was the addition of the third dimension significantly increased the accuracy of diagnosis with the CBCT. Brags et al. [13] had similar findings regarding the detection of dehiscence (46.8% versus 78.2%) and fenestration (25.7% versus 89.1%) when comparing IOR versus CBCT. Several other studies have concluded similar findings that CBCT is more accurate in the detection of intrabony defects and furcation involvement, that IOR also tends to underestimate the severity of each, and that there is greater inter-examiner agreement with CBCT when compared to IOR [14,15,16].
Walter et al. [17] studied the accuracy of conventional assessment, clinical exam with IORs, to conventional assessment with additional CBCT evaluation for determination of degree of furcation involvement and appropriateness of treatment planning of maxillary molars with furcation involvement. Maxillary molars were assessed following completion of initial non-surgical therapy. This included standard periodontal data collection (probing depths, attachment levels, mobility, etc.) with furcation involvement classified according to Hamp’s classification based off detection with a curved Nabers probe. The clinical evaluation was aided by IORs and a treatment plan was determined. Next, CBCT evaluations were completed, analyzed to determine degree of furcation involvement, and compared to the findings from the conventional assessment.
They found that the degree of furcation involvement determined by conventional assessment was accurate only 27% of the time, and this was mostly associated with degree III furcations. Conventional assessment overestimated the degree of involvement 29% of the time and underestimated it 44% of the time. Degree I furcations were most commonly overestimated, while degree II furcations were underestimated. They also found that the recommended treatment plan based off the conventional assessment was in agreement with the recommendation based off of the CBCT data on 41% of the time. For the remaining cases, the CBCT based treatment plans were more invasive 41% of the time and 18% less invasive than the treatment plans established by the conventional assessment. They concluded that the addition of CBCT data was beneficial for the assessment of furcation involvement and determination of a more appropriate treatment plan.
Additional studies have concluded that CBCT evaluation of furcation involvement, horizontal bone loss, and intrabony periodontal defects cannot only be properly identified but they can also be accurately measured. Walter et al. [18] found that maxillary molar furcation involvement was accurately assessed via CBCT evaluation when compared to intra-surgical findings 84% of the time, while underestimating 14.7% and only over estimating 1.3%. Padmanabhan et al. [19] determined that there was no statistical significance between CBCT and direct intra-surgical measurements regarding furcation height, width, and depth. Banodkar et al. [20] found that CBCT was highly accurate at both detection of periodontal defects and determination of type of defect while also very precisely being able to measure the vertical depths of the defects. Another study by Feijo et al. [21] reported that there was no statistical difference between measurements of horizontal bone loss when measured by either CBCT or direct intra-surgical measurements.
Another beneficial application of CBCT reported by Zhao et al. [22] was the ability to assess root concavities of first premolars and associated pattern of bone loss. They identified five types of roots concavities based on origination of the concavity. Type I had no concavity, Type II the concavity originated in the enamel, Type II was coincidence with the CEJ, Type IV below the CEJ (but in the top 2/3 s of the root), and Type V was within the bottom 1/3 of the root. The associated pattern of bone loss was classified as a Ramp, Plane, or Crater. Maxillary first premolars had a mesial concavity present 100% of the time with Type II most common at 35.7%. A distal concavity was only on 39.3% of the sites, with Type IV as the most common (14.2%). Mandibular first premolars had a much lower presence of concavities with only 42.5% noted on the mesial, which were evenly distributed between Type II-V, and 31.3% on the distal with Type IV most common (15%). The distribution of patterns of bone loss was interesting. They were consistent between the mesial and distal sites when divided by presence or absence of a concavity. A Ramp, Plane, and Crater was noted 3.17%, 30.6%, and 37.8%, respectively, at the mesial sites with a concavity present and 58.7%, 27.2%, and 14.1%, respectively, for mesial sites without a concavity. The distal sites had a very similar distribution with 31.9%, 27.7%, and 40.4%, respectively at sites with a concavity and sites without a concavity had 57.9%, 28.1%, and 14.0%, respectively.
Information this detailed is not always known, or at least not certain, following conventional assessment. The greater the detail of the information available, the better the prognostic assessment and treatment plan can be. The conclusion of a systematic review by Nikolic-Jakoba et al. [23] on CBCT for detection of intrabony and furcation defects was that insufficient evidence was available to support its use. While this conclusion may seem discouraging, it was mainly due to the fact that there is currently limited scientific literature at this time. They also noted that in certain cases it still might be clinically beneficial to implement CBCT when conventional assessment may be lacking.
Although the data is rather limited, it is beginning to highlight some specific clinical situations where CBCT may be a beneficial adjunct to conventional assessment. In addition to the previously discussed benefits, CBCT can aid treatment/surgical planning in several ways. CBCT can allow a clinician to locate and map vital structures, such as the inferior alveolar, lingual, mental, or greater palatine nerves [24,25,26], when planning surgical therapies. CBCT can be utilized for evaluation of biotype by measuring hard and soft tissue thickness of the alveolar process. It can also be used to detect facial plate thickness and for identification of a dehiscence or fenestrations over root surfaces. This information can aid in diagnosing altered passive eruption (based on crestal bone level in relationship with the CEJ of the teeth) and surgical planning, especially for advanced soft and/or hard tissue augmentation [27,28,29,30,31,32,33,34,35]. However, one of the most useful applications of CBCT assessment is for post treatment evaluation.
Traditionally, post-surgical evaluation would require surgical reentry to verify outcomes. This is not only invasive for the patient, but also time consuming, and therefore financially costly for the practitioner. In private practice, these surgical outcomes are typically assessed using the same parameters as the clinical evaluation (including probing depths, bleeding/suppuration on probing, mobility, attachment level, furcation involvement, etc.) and radiographic evaluation. However, CBCT evaluation of post-surgical treatment is rapidly moving to becoming the standard of care in both private practice and for reporting in periodontal literature [36,37,38,39]. In addition to the accuracy of CBCT imaging to detect and measure intrabony defect and furcation involvement as previously described, CBCT can be utilized to accurately assess bone levels via circumferential quantification and a traditional six-site method [40,41]. Notably, CBCT evaluation following regenerative surgical treatment of furcation involvement was recommended by the American Academy of Periodontology (AAP) Regeneration Workshop in 2015 [42].
Recently, the AAP released a Best Evidence Consensus (BEC) series of papers related to the use and application of CBCT in the field of periodontics. A panel of experts related to the use of CBCT and who had significant experience implementing CBCT in practice were brought together to review the available literature and provide a consensus statement regarding the uses of CBCT [43]. The conclusion regarding the use of CBCT in the diagnosis, treatment planning, and management of periodontal disease was that limited evidence is available to support its use as standard of care [44,45]. Conventional assessment was still considered the gold standard but that in certain situation (advanced intrabony and furcation defects, suspected endo-perio lesions, root resorption, etc.) CBCT imaging may be beneficial. It is up to the clinician to determine when CBCT imaging is of benefit and applying the “As Low As Reasonably Achievable” (ALARA) principle. Even though CBCT exposures are considered to be low exposure, if the information from an additional CBCT is not beneficial from a diagnostic, prognostic, or treatment management perspective, it would not follow the ALARA principle.

1.2. Technological Advances and Potential Uses of CBCT and Periodontal Therapies

As with all technology, new generations of dental in-office scanners aim improve upon legacy devices. The primary goals are to reduce radiation artifact, improve quantification of bone density, reduce radiation exposure and reduce equipment costs. As of the writing of this paper, new systems have arisen that allow modular upgradeability from 4 × 4 cm to 16 × 17 cm FOV. This allows clinicians to start with focused field of views keeping costs down and upgrading as necessary. Furthermore, voxel sizes have decreased as low as 75 μm with dual jaw capabilities up to 10 × 10 cm allowing for ultra-high resolution on a single scan versus multiple regional exposures.
New scanners employ elevated 120 KV power to increase image quality at similar doses, net reduction in energy and beam hardening artifacts and reducing overall radiation effective dose. Furthermore, the scanners offer scout view capabilities to reduce errant exposures and low dosage modes reducing effective dose with voxel sizes of 300 to 400 μm.
Metal artifact reduction (MAR) employed in the latest generation of scanners is a very significant advancement. See Figure 1 and Figure 2 which have side by side comparisons of the improvements a metal artifact reduction filter offers. This potentially helps to confirm diagnoses in complex restorative cases and reduces the risk of misinterpretation.
The primary benefit will be in visualization of fractures, which greatly affect the periodontium and preclude regeneration of intrabony defects. Fractures generally occur in complex restored teeth and often are endodontically and periodontally involved leading to misdiagnosis without a metal scatter reduction filter.
Reduced voxel size and MAR will enable improved 3D visualization of periodontal defects. This will aid tremendously in flap design to understand severity and extension of the lesion and to maintain blood supply to thin segments of remaining bone as visualized at the coronal aspect of the cross-section slide in Figure 3. This is also a powerful tool in visual patient treatment planning.
Improved image quality will advance elements of guided surgery, enabling clearer stereolithography (STL) and Digital Imaging and Communications in Medicine (DICOM or DCM) data merging with creation of surgical guides for minimally invasive surgery and calculated bone volumes for accurate guided tissue regeneration (GTR) bone volume requirements (Figure 4).

2. Conclusions

Despite the fact that there is rapidly accruing literature on CBCT, there are still no current evidence-based guidelines on its necessity and use for periodontal treatment planning. In selective cases, however, limited field of view CBCT may be useful for periodontal disease diagnoses due to less radiation dosage to the patient, higher spatial resolution, and shorter volumes to be interpreted. Further studies are justified to continue to evaluate the role of CBCT in the diagnosis and management of periodontal disease. Areas of interested include standardization of imaging protocols, regarding FOV and resolution requirements for accurate assessments. At this time, although evidence is emerging, it cannot be recommended as the standard of care and ultimately it is up to the individual clinician to use their own judgment as to when the additional information provided by CBCT may be beneficial, while always keeping the ALARA principle in mind.

Author Contributions

Conceptualization, V.T.E., K.A.M. and M.T.; methodology, V.T.E., K.A.M. and M.T.; formal analysis, V.T.E. and K.A.M.; investigation, V.T.E., K.A.M. and M.T.; resources, V.T.E., K.A.M. and M.T.; data curation, V.T.E., K.A.M. and M.T.; writing—original draft preparation, V.T.E. and K.A.M.; writing—review and editing, V.T.E. and K.A.M.; visualization, V.T.E. and K.A.M.; supervision, V.T.E. and K.A.M.; project administration, V.T.E. and K.A.M.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Eke, P.I.; Genco, R.J. CDC periodontal disease surveillance project: Background, objectives, and progress report. J. Periodontol. 2007, 7, 1366–1371. [Google Scholar] [CrossRef]
  2. Friedewald, V.E.; Kornman, K.S.; Beck, J.D.; Genco, R.; Goldfine, A.; Libby, P.; Offenbacher, S.; Ridker, P.M.; Van Dyke, T.E.; Roberts, W.C. American Journal of, Cardiology; Journal of Periodontology. Am. J. Cardiol. 2009, 104, 59–68. [Google Scholar] [CrossRef]
  3. Jeffcoat, M.K. Current concepts in periodontal disease testing. J. Am. Dent. Assoc. 1994, 125, 1071–1078. [Google Scholar] [CrossRef]
  4. Molander, B. Panoramic radiography in dental diagnostics. Swed. Dent. J. Suppl. 1996, 119, 1–26. [Google Scholar]
  5. Jeffcoat, M.K. Radiographic methods for the detection of progressive alveolar bone loss. J. Periodontol. 1992, 63, 367–372. [Google Scholar] [CrossRef]
  6. Reddy, M.S. Radiographic methods in the evaluation of periodontal therapy. J. Periodontol 1992, 63, 1078–1084. [Google Scholar] [CrossRef]
  7. Eshraghi, T.; McAllister, N.; McAllister, B. Clinical applications of digital 2-D and 3-D radiography for the periodontist. J Evid. Based Dent. Pract. 2012, 3, 36–45. [Google Scholar] [CrossRef]
  8. Bragger, U. Radiographic parameters: Biological significance and clinical use. Periodontology 2000, 39, 73–90. [Google Scholar] [CrossRef]
  9. Alamri, H.M.; Sadrameli, M.; Alshalhoob, M.A.; Sadrameli, M.; Alshehri, M.A. Applications of CBCT in dental practice: A review of the literature. Gen. Dent. 2012, 60, 390–400. [Google Scholar]
  10. Benn, D.K. A review of the reliability of radiographic measurements in estimating alveolar bone changes. J. Clin. Periodontol. 1990, 17, 14–21. [Google Scholar] [CrossRef]
  11. Misch, K.A.; Yi, E.S.; Sarment, D.P. Accuracy of cone beam computed tomography for periodontal defect measurements. J. Periodontol. 2006, 77, 1261–1266. [Google Scholar] [CrossRef]
  12. Braun, X.; Ritter, L.; Jervøe-Storm, P.-M.; Frentzen, M. Diagnostic accuracy of CBCT for periodontal lesions. Clin. Oral Investig. 2014, 18, 1229–1236. [Google Scholar] [CrossRef]
  13. Bagis, N.; Kolsuz, M.E.; 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. [Google Scholar] [CrossRef] [PubMed]
  14. Qiao, J.; Wang, S.; Duan, J.; Zhang, Y.; Qiu, Y.; Sun, C.; Liu, D. The accuracy of cone-beam computed tomography in assessing maxillary molar furcation involvement. J. Clin. Periodontol. 2014, 41, 269–274. [Google Scholar] [CrossRef] [PubMed]
  15. Suphanantachat, S.; Tantikul, K.; Tamsailom, S.; Kosalagood, P.; Nisapakultorn, K.; Tavedhikul, K. Comparison of clinical values between cone beam computed tomography and conventional intraoral radiography in periodontal and infrabony defect assessment. Dentomaxillofac. Radiol. 2017, 46, 20160461. [Google Scholar] [CrossRef]
  16. Bayat, S.; Talaeipour, A.R.; Sarlati, F. Detection of simulated periodontal defects using cone-beam CT and digital intraoral radiography. Dentomaxillofac. Radiol. 2016, 45, 20160030. [Google Scholar] [CrossRef] [Green Version]
  17. Walter, C.; Kaner, D.; Berndt, D.C.; Weiger, R.; Zitzmann, N.U. Three-dimensional imaging as a pre-operative tool in decision making for furcation surgery. J. Clin. Periodontol. 2009, 36, 250–257. [Google Scholar] [CrossRef] [PubMed]
  18. Walter, C.; Weiger, R.; Zitzmann, N.U. Accuracy of three-dimensional imaging in assessing maxillary molar furcation involvement. J. Clin. Periodontol. 2010, 37, 436–441. [Google Scholar] [CrossRef]
  19. Padmanabhan, S.; Dommy, A.; Guru, S.R.; Joseph, A. Comparative evaluation of cone-beam computed tomography versus direct surgical measurements in the diagnosis of mandibular molar furcation involvement. Contemp. Clin. Dent. 2017, 8, 439. [Google Scholar]
  20. Banodkar, A.B.; Gaikwad, R.P.; Gunjikar, T.U.; Lobo, T.A. Evaluation of accuracy of cone beam computed tomography for measurement of periodontal defects: A clinical study. J. Indian Soc. Periodontol. 2015, 19, 285. [Google Scholar] [CrossRef]
  21. Vieira Feijó, C.; Granjeiro Feitosa de Lucena, J.; Mitsuo Kurita, L.; da Silva Pereira, S.L. Evaluation of cone beam computed tomography in the detection of horizontal periodontal bone defects: An in vivo study. Int. J. Periodontics Restor. Dent. 2012, 32, e162–e168. [Google Scholar]
  22. Zhao, H.; Wang, H.; Pan, Y.; Pan, C.; Jin, X. The relationship between root concavities in first premolars and chronic periodontitis. J. Periodontal res. 2014, 49, 213–219. [Google Scholar] [CrossRef]
  23. Nikolic-Jakoba, N.; Spin-Neto, R.; Wenzel, A. Cone-Beam Computed Tomography for Detection of Intrabony and Furcation Defects: A Systematic Review Based on a Hierarchical Model for Diagnostic Efficacy. J. Periodontol. 2016, 87, 630–644. [Google Scholar] [CrossRef] [PubMed]
  24. Waltrick, K.B.; de Abreu Junior, M.J.N.; Corrêa, M.; Zastrow, M.D.; D’Avila Dutra, V. Accuracy of linear measurements and visibility of the mandibular canal of cone-beam computed tomography images with different voxel sizes: An in vitro study. J. Periodontol. 2013, 84, 68–77. [Google Scholar] [CrossRef] [PubMed]
  25. Yilmaz, H.G.; Boke, F.; Ayali, A. Cone-beam computed tomography evaluation of the soft tissue thickness and greater palatine foramen location in the palate. J. Clin. Periodontol. 2015, 42, 458–461. [Google Scholar] [CrossRef] [PubMed]
  26. Chan, H.L.; Leong, D.J.; Fu, J.H.; Yeh, C.Y.; Tatarakis, N.; Wang, H.L. The significance of the lingual nerve during periodontal/implant surgery. J. Periodontol. 2010, 81, 372–377. [Google Scholar] [CrossRef]
  27. Amid, R.; Mirakhori, M.; Safi, Y.; Kadkhodazadeh, M.; Namdari, M. Assessment of gingival biotype and facial hard/soft tissue dimensions in the maxillary anterior teeth region using cone beam computed tomography. Arch. Oral Biol. 2017, 79, 1–6. [Google Scholar] [CrossRef] [PubMed]
  28. Batista Jr, E.L.; Moreira, C.C.; Batista, F.C.; de Oliveira, R.R.; Pereira, K.K. Altered passive eruption diagnosis and treatment: A cone beam computed tomography-based reappraisal of the condition. J. Clin. Periodontol. 2012, 39, 1089–1096. [Google Scholar] [CrossRef]
  29. Cao, J.; Hu, W.-J.; Zhang, H.; Liu, D.-G.; Le, D.; Yang, G.; Chung, K.H. A novel technique for measurement of dentogingival tissue by cone beam computed tomography. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. 2015, 119, e82–e87. [Google Scholar] [CrossRef] [PubMed]
  30. Frost, N.A.; Mealey, B.L.; Jones, A.A.; Huynh-Ba, G. Periodontal biotype: Gingival thickness as it relates to probe visibility and buccal plate thickness. J. Periodontol. 2015, 86, 1141–1149. [Google Scholar] [CrossRef]
  31. Fu, J.H.; Yeh, C.Y.; Chan, H.L.; Tatarakis, N.; Leong, D.J.; Wang, H.L. Tissue biotype and its relation to the underlying bone morphology. J. Periodontol. 2010, 81, 569–574. [Google Scholar] [CrossRef]
  32. Fuentes, R.; Flores, T.; Navarro, P.; Salamanca, C.; Beltrán, V.; Borie, E. Assessment of buccal bone thickness of aesthetic maxillary region: A cone-beam computed tomography study. J. Periodontal Implant Sci. 2015, 45, 162–168. [Google Scholar] [CrossRef]
  33. Gambarini, G.; Miccoli, G.; Gaimari, G.; Pompei, D.; Pilloni, A.; Piasecki, L.; Al-Sudani, D.; Di Nardo, D.; Testarelli, L. Detection of Bone Defects Using CBCT Exam in an Italian Population. Int. J. Dent. 2017, 2017, 7523848. [Google Scholar] [CrossRef] [PubMed]
  34. Mandelaris, G.A.; Neiva, R.; Chambrone, L. Cone-beam computed tomography and interdisciplinary dentofacial therapy: An American Academy of Periodontology best evidence review focusing on risk assessment of the dentoalveolar bone changes influenced by tooth movement. J. Periodontol. 2017, 88, 960–977. [Google Scholar] [CrossRef] [PubMed]
  35. Monje, A.; Monje, F.; González-García, R.; Galindo-Moreno, P.; Rodriguez-Salvanes, F.; Wang, H.L. Comparison between microcomputed tomography and cone-beam computed tomography radiologic bone to assess atrophic posterior maxilla density and microarchitecture. Clin. Oral Implants Res. 2014, 25, 723–728. [Google Scholar] [CrossRef] [PubMed]
  36. Nemoto, Y.; Kubota, T.; Nohno, K.; Nezu, A.; Morozumi, T.; Yoshie, H. Clinical and CBCT Evaluation of Combined Periodontal Regenerative Therapies Using Enamel Matrix Derivative and Deproteinized Bovine Bone Mineral with or Without Collagen Membrane. Int. J. Periodontics Restor. Dent. 2018, 38, 373–381. [Google Scholar] [CrossRef]
  37. Siddiqui, Z.R.; Jhingran, R.; Bains, V.K.; Srivastava, R.; Madan, R.; Rizvi, I. Comparative evaluation of platelet-rich fibrin versus beta-tri-calcium phosphate in the treatment of Grade II mandibular furcation defects using cone-beam computed tomography. Eur. J. Dent. 2016, 10, 496. [Google Scholar] [PubMed]
  38. Pajnigara, N.; Kolte, A.; Kolte, R.; Pajnigara, N.; Lathiya, V. Diagnostic accuracy of cone beam computed tomography in identification and postoperative evaluation of furcation defects. J. Indian Soc. Periodontol. 2016, 20, 386. [Google Scholar]
  39. Benic, G.I.; Thoma, D.S.; Jung, R.E.; Sanz-Martin, I.; Unger, S.; Cantalapiedra, A.; Hämmerle, C.H. Guided bone regeneration with particulate vs. block xenogenic bone substitutes: A pilot cone beam computed tomographic investigation. Clin. Oral Implants Res. 2017, 28, e262–e270. [Google Scholar] [CrossRef] [PubMed]
  40. Fleiner, J.; Hannig, C.; Schulze, D.; Stricker, A.; Jacobs, R. Digital method for quantification of circumferential periodontal bone level using cone beam CT. Clin. Oral Investig. 2013, 17, 389–396. [Google Scholar] [CrossRef]
  41. Guo, Y.-J.; Ge, Z.-P.; Ma, R.-H.; Hou, J.-X.; Li, G. A six-site method for the evaluation of periodontal bone loss in cone-beam CT images. Dentomaxillofac. Radiol. 2015, 45, 20150265. [Google Scholar] [CrossRef]
  42. Reddy, M.S.; Aichelmann-Reidy, M.E.; Avila-Ortiz, G.; Klokkevold, P.R.; Murphy, K.G.; Rosen, P.S.; Schallhorn, R.G.; Sculean, A.; Wang, H.L. Periodontal regeneration—furcation defects: A consensus report from the AAP Regeneration Workshop. J. Periodontol. 2015, 86, S131–S133. [Google Scholar] [CrossRef] [PubMed]
  43. Mandelaris, G.A.; Scheyer, E.T.; Evans, M.; Kim, D.; McAllister, B.; Nevins, M.L.; Rios, H.F.; Sarment, D. American Academy of Periodontology Best Evidence Consensus Statement on Selected Oral Applications for Cone-Beam Computed Tomography. J. Periodontol. 2017, 88, 939–945. [Google Scholar] [CrossRef] [Green Version]
  44. Kim, D.M.; Bassir, S.H. When Is Cone-Beam Computed Tomography Imaging Appropriate for Diagnostic Inquiry in the Management of Inflammatory Periodontitis? An American Academy of Periodontology Best Evidence Review. J. Periodontol. 2017, 88, 978–998. [Google Scholar] [CrossRef]
  45. McAllister, B.S.; Eshraghi, V.T. Commentary: Cone-Beam Computed Tomography: An Essential Technology for Management of Complex Periodontal and Implant Cases. J. Periodontol. 2017, 88, 937–938. [Google Scholar] [CrossRef]
Figure 1. Axial views of CBCT with and without Metal artifact reduction (MAR) - (Carestream CS9600 MAR).
Figure 1. Axial views of CBCT with and without Metal artifact reduction (MAR) - (Carestream CS9600 MAR).
Dentistry 07 00057 g001
Figure 2. Sagital views of CBCT with and without Metal artifact reduction (MAR) - (Carestream CS9600 MAR).
Figure 2. Sagital views of CBCT with and without Metal artifact reduction (MAR) - (Carestream CS9600 MAR).
Dentistry 07 00057 g002
Figure 3. Three-dimensional (3D) rendering (left image) and CBCT cross-section (right image) a0 of periodontal defect with reduced scatter.
Figure 3. Three-dimensional (3D) rendering (left image) and CBCT cross-section (right image) a0 of periodontal defect with reduced scatter.
Dentistry 07 00057 g003
Figure 4. Combined stereolithography (STL) data with Digital Imaging and Communications in (DCM) data (top image) and STL exportable/printable surgical guide allowing for precision surgical entry (bottom image).
Figure 4. Combined stereolithography (STL) data with Digital Imaging and Communications in (DCM) data (top image) and STL exportable/printable surgical guide allowing for precision surgical entry (bottom image).
Dentistry 07 00057 g004

Share and Cite

MDPI and ACS Style

Eshraghi, V.T.; Malloy, K.A.; Tahmasbi, M. Role of Cone-Beam Computed Tomography in the Management of Periodontal Disease. Dent. J. 2019, 7, 57. https://doi.org/10.3390/dj7020057

AMA Style

Eshraghi VT, Malloy KA, Tahmasbi M. Role of Cone-Beam Computed Tomography in the Management of Periodontal Disease. Dentistry Journal. 2019; 7(2):57. https://doi.org/10.3390/dj7020057

Chicago/Turabian Style

Eshraghi, V. Thomas, Kyle A. Malloy, and Mehrnaz Tahmasbi. 2019. "Role of Cone-Beam Computed Tomography in the Management of Periodontal Disease" Dentistry Journal 7, no. 2: 57. https://doi.org/10.3390/dj7020057

APA Style

Eshraghi, V. T., Malloy, K. A., & Tahmasbi, M. (2019). Role of Cone-Beam Computed Tomography in the Management of Periodontal Disease. Dentistry Journal, 7(2), 57. https://doi.org/10.3390/dj7020057

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop