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EVALUATION OF MARGINAL FIT OF TWO TYPES OF GLASS CERAMICS
(IN VITRO STUDY)
Youssef Y. Ashour1, Samir I. Bakry2, Sanaa H. Abd elkadr2, Fayzal Elabbasy3.
1 Assistant Lecturer of Fixed Prosthodontics, Faculty of Dentistry, Pharos University.
2 Professor of Fixed Prosthodontics, Faculty of Dentistry, Alexandria University, Egypt.
3 Professor of Biomaterial Department, Faculty of Dentistry, Alexandria University, Egypt.
Email: [email protected]
Telephone: +201122956514
ABSTRACT
BACKGROUND: Veneered all-ceramic restorations are associated with a high incidence of
chipping and veneer delamination from the inner core. Monolithic all-ceramic crowns facilitate
the fabrication process and minimize residual stresses between core and veneer. A new
material, zirconia-reinforced lithium silicate (ZRL), Celtra Duo was recently introduced for
fabrication of monolithic anterior crowns to overcome the aesthetic drawbacks of traditional
zirconia and also to improve the strength of the lithium disilicate.
Aim of the study: To evaluate the marginal fit of CAD/CAM: zirconia reinforced lithium di
silicat and to compare it with Lithium silicate glass-ceramic crowns.
Materials and Methods: Thirty monolithic ceramic specimens will be fabricated and divided
into THREE main groups; Group I: CAD/CAM ZLS Celtra Duo milled and polished, Group II
CAD /CAM ZLS Celtra Duo milled and glazed & Group III: CAD/CAM Lithium silicate
glass-ceramic (e.max CAD). For evaluation of the marginal fit 30 ceramic crown specimens
ten specimens from each material(N=10), subgroups Ia, IIa, IIIa will be fabricated according to
the manufacturers’ instructions and thermocycled to simulate one year clinical service.
Marginal fit will be measured for the same specimens by using CBCT (Ia, IIa, IIIa). For
evolution of marginal fit 30 ceramic crowns will be fabricated, ten crowns from each material
(N=10), subgroups Ia, IIa, IIIa.
Results: Will be tabulated and statistically analyzed.
INTRODUCTION
CAD/CAM systems are composed of three major parts: (1) a data acquisition unit,
which collects the data from the region of the prepared teeth and neighboring structures
and then converts them to virtual impressions (an optical impression is created at this
moment directly or indirectly); (2) software for designing virtual restorations anchored in
virtual impressions and setting up all the milling parameters; and (3) a computerized
milling device for manufacturing the restoration with solid blocks of the chosen restorative
material. The first two parts of the system play roles in the CAD phase, while the third is
responsible for the CAM phase (1).
The restoration parameters during the design also influence the marginal adaptation
of CAD/CAM all ceramic restorations; for example, the virtual configuration of the die
spacer between the tooth and the restorations is essential for the accuracy of the marginal
adaptation (2).
Marginal and internal fit can be influenced by several factors, starting from the
impression phase to the final cementation process. In general dental practice, impressions
using elastomer materials (polyether and vinyl polysiloxane) are a conventional procedure.
These can be made with monophase or multiphase consistencies as well as one- or two-
step technique (3, 4).
Although high quality impressions are achievable by these impression techniques
and workflows, several mistakes associated with the intraoral phase (subgingival
preparations, presence of blood, saliva, etc) or laboratory procedures (disinfection, pouring
the impression, transport, etc.) may occur, leading to inaccuracies (5, 6).
Several in vivo and in vitro quantitative evaluation fit methods of prostheses
developed to assess different conventional processes have been used to study the
CAD/CAM prostheses. Marginal fit was evaluated when prostheses were inserted in the
master cast using microphotography and light microscopy. Measurement with the silicone
replica of the misfit between the restoration and abutment. This replica is sectioned and
evaluated under light or electronic microscopy (7).
Measurement of the tooth–prosthetic interface after cementing or bonding dental
prostheses. The spacer is evaluated with light or electronic microscopy after sectioning.
Recently, the literature has reported other evaluation methods and processes for
developing CAD/CAM prosthesis. The silicon weight and density evaluation method.
Measurement by a triple scan protocol with a noncontact scanner and specific software to
perform a virtual 3D analysis. Internal and marginal adaptation measured by micro-CT
technology and without impression of cementation space (8).
In these quantitative assessments, two major methodological limitations are
emphasized by many authors. The first limitation is the number of measurement points.
Increasing the number of points on the entire periphery or volume of the joint tooth–
prosthesis would give an average assessment of pertinent adaptation. This is a real limitation
of these measurement protocols, since in the studies included, the number of measurement
points varied between 4 and 385 for conventional methods and up to more than 3500 points
for three-dimensional method. The second methodological limitation is related to the
geometric tracking system defining the limits of the marginal gap measured (9, 10).
Christenson (1971) agreed with the ADA specifications; others suggested modifying
it. Fransson et al., (1985) argued that the clinically acceptable marginal gap should be less
than 150 μm and 120 μm respectively. Additionally, Mclean and von Fraunhofer examined
the marginal fit of 1000 fixed restorations in-vivo using replica technique over a five years
period and indicated that a marginal gap less than 80 μm is difficult to detect under clinical
conditions (11, 12).
As technology evolved further, a new method of 3D fit assessment was described
and used in a study by Schaefer et al.,(2014) the prepared tooth and the fabricated
restorations were scanned using a self-calibrating structure-light scanner (Flex 3A, Otto
Vision Technology GmbH, Germany). Virtual crowns were superimposed upon the virtual
prepared tooth by computing all possible orientations using special software (Qualify 12,
Geomagic GmbH, Stuttgart, Germany). Colour-coded difference images allowed for semi-
qualitative information analyses of marginal and internal fit of the virtual crowns on the
virtual prepared surface and selecting the best fit position. The one inherent problem of all
non-contact optical digitizers is the accuracy and capability to actually capture the different
surfaces/materials such as highly reflective or translucent materials as all-ceramic crowns
(13, 14).
MATERIALS AND METHODS
Measurements of marginal fit with cone beam computed tomography (CBCT)
Test was done for group IA, IIA, IIIA.A highly accurate desktop computerized cone
beam tomography device was used for imaging the specimens. The master die was fixed to
its acrylic base in order to stabilize the die on the chin plate during imaging in the CBCT
device using orthogonal technique so that the x-ray beam was directed at right angle to the
long axis of the die.
Each crown was seated on the ceramic master die and stabilized during CBCT
imaging using a specially designed metal free device then placed on the plate of the CBCT
device to be scanned. During image acquisition, each specimen was automatically rotated
one step (0.9°) at a time through 180°. (Figure 1)
Figure 1: Metal-free holding device stabilizing the crown on the die during scanning.
A special software system was used for viewing the cross sectional images of the
specimens and making the necessary measurements, and the data were saved in DBM files
and sent to statistical analyses (J.Morita Veraviewepocs 3D R100, Irvine California 92618
USA. Telephone: 1-949-581-9600. Fax: 1-949-581-8811). (Figure 2,3)
Figure 2: Cross section of the each crown specimens
Figure 3: Cone beam CT
Absolute marginal discrepancy (AMD): The angular distance between the margin of
the crown and the finish line. The percentage of horizontally over-extended, properly
extended and under-extended margins were calculated for each group (15). The method
used is illustrated in (Figure 4).
Figure 4: Diagram for the marginal fit
The acrylic base made for the master die as shown in figure (1) to stabilize the
master die during imaging with the cone beam computed tomography the master die was
placed on the resting chin of the CBCT during imaging as shown in the figure (1).
RESULTS
Measurements of marginal fit with computed cone beam tomography results
Results of the marginal fit shown in table (1), figure (5) was found to be the highest
mean value with group CAD/CAM Celtra Duo (mill and glazed). 208.50±17.49 followed
by CAD/CAM Celtra Duo (mill and polished) 192.25±19.02 and finally the least marginal
fit with group Lithium Disilicate EMAX CAD/CAM 187.25±11.81.
The statistical analysis revealed a significant difference between the test groups
where (p≤0.05). Upon further analysis the significant difference was found to be between
for CAD/CAM Celtra Duo (mill and glazed) and the Lithium Disilicate EMAX. There was
no significant difference between the other 2 pairs. The marginal gap values are presented
in (Table 1) and (Figure 5).
Table 1: Measurements of marginal fit with computed cone beam tomography in µm
Measurements of marginal fit with computed cone beam tomography
Group
CAD/CAM Celtra Duo
(mill and polished)
CAD/CAM Celtra Duo
(mill and glazed)
Lithium Disilicate EMAX
AMD- n- Min-Max- Mean±S.D- 95% CI of the mean- Median- IQR- KS test of normality
10160-212.5
192.25±19.02178.64-205.85
196.25a,b,c
182.50-210.00D=0.157, p=0.200
NS
10182.50-237.50208.50±17.49195.98-221.01
205.00a,b
195.00-222.50D=0.179,
p=0.200 NS
10175.00-215.00187.25±11.81178.80-195.69
186.25a,c
177.50-192.50D=0.192, p=0.200
NS
Test of significancep value
X2(KW)(df=2)=8.092p=0.017*
Post-hoc Multiple Comparison
CAD/CAM Celtra Duo(mill and polished)
Z=1.627p=0.311 NS
Z=1.207p=0.682 NS
CAD/CAM Celtra Duo(mill and glazed)
Z=2.834p=0.014*
Lithium Disilicate EMAX
n: NumberMin-Max: Minimum – maximumS.D.: Standard deviationCI: Confidence intervalIQR: Inter-quartile range (25th – 75th percentile)KW: Kruskal Wallis testdf: degree of freedom
Different superscript letters indicate Pair-wise statistical significance (using Dunn-Sidak method)* : statistically significant difference (p<0.05)NS: statistically no significant difference (p>0.05)
Figure 5: Measurements of marginal fit with computed cone beam tomography
DISCUSSION
Neves et al.,(16) and Roulet et al.,(17) stated that the main goal of a fixed restoration
is the close adaptation of the crown to the prepared tooth. A high marginal accuracy and an
adequate internal fit are the major determining factors for successful clinical performance.
There is still no standard protocol to evaluate the fit of indirect restorations. This lack of
standardization may compromise interpretation and comparison of data from different
studies and to provide guidelines for clinical practice. Thus, it is important to recognize the
limitations of the currently used techniques, as well as the kind of data that may obtained
with each method.
Kohorst et al. (18) and Preis et al. (19), showed that different method have been
described to evaluate the marginal gap of the crown microscopic methods, dye penetration
test, micro computed tomography also scanning electron microscope the best one is the
cone beam computed tomography this is what we used in the present study.amd showed
reliable results according to several studies.
The aim of this vitro study was to compare marginal fit of and zirconia reinforced
lithium silicate to lithium disilicate crowns fabricated powder-free scanning with intraoral
video scanner (CEREC Omnicam), using cone beam computerized tomography. The
methodology followed in this study was first applied by Pelekanos et al. (20), using
computerized tomography to measure marginal gap as a radiographic method. According
to Pelekanos et al. (20), to discriminate the gap between two materials using radiograph
both should have the same coefficient of radiation absorption or similar radiodensity, that's
why the master die and crowns in our study were fabricated from lithium disilicate ceramic
and assessed good results.
Lithium disilicate was selected in this study instead of other ceramic materials
because glass ceramic has the closest refractive index and optical properties to enamel and
dentin (1.55 for glass ceramic, 1.54 for dentin and 1.6 for enamel) which facilitated
scanning of the ceramic die during the study. Lithium disilicate has intermediate refractive
index between leucite based glass and zirconium due to its microstructure of random
interlocking plates shape of crystals rather than needle shape in leucite. Refractive index
explains the translucency and the reflectivity of light by the material which in turn affect
the scanning of this surface accurately and its x-ray scattering effect which will cause
radiographic distortion and image artifacts (21, 22).
All specimens in the present study were designed using software (CEREC 3D, V4.2
Sirona, Germany) applying biogeneric individual design and milled with one milling
machine (CEREC MC XL, Sirona, Germany) using size 12S step bur and 12S cylinder
pointer burs. A new set of burs was used for each group milling to eliminate the effect of
milling machine on the accuracy of the crowns.
The mean value of the present study regarding marginal gap was found to be the
lowest marginal gap was Lithium Disilicate EMAX while the highest for CAD/CAM
Celtra Duo (mill and glazed). However, Azarbal et al. (23), and Zimmermann et al. (24),
showed that the overall mean difference in marginal gap between the zirconia based
ceramic, hybrid ceramic and crystallized lithium-disilicate copings was statistically
significant (p<0.01). The overall mean difference in marginal gap before and after firing
(pre-crystallized and crystallized lithium-disilicate copings) showed an average of 62
microns increase in marginal gap after firing.
Crystallization firing has a significant effect on the marginal gap of lithium disilicate
(IPS e-max CAD- Ivoclar Vivadent) CAD/CAM crowns fabricated with CEREC (Sirona)
system (23).
Brenes et al. (25) and Holmes et al. (26, 27), claimed that absolute marginal
discrepancy as the angular combination of the marginal gap and extension error (over-
extension or underextension); it is the combination of the vertical marginal discrepancy
and horizontal marginal discrepancy. This agreed with the present study assessed that the
absolute marginal discrepancy is considered the best alternative measurement to the
marginal gap since its always the largest error at the margin and reflects the total crown
misfit at that point.
Taha et al. (28), claimed that the difference between marginal gaps values of material
significant increase after cementation significant difference was found between hybrid
ceramic crowns higher than the Celtra Duo due to different thermocylcing techniques and
cementaion procerdure used. While the present study showed that the marginal gap is least
for emax CAD than the celtra duo without cementation.
Preis et al. (19), showed that the as monolithic crown the lithium disilicate is the
proven better than the zirconia reinforced lithium silicate crowns by using mix of thermo
cycling and mechanical loading and the interface is investigated by scanning electron
microscope. Also, it agreed with the present study that showed least marginal gap for the
lithium disilicate crowns rather than the zircona reinforced lithium silicate.
Tinschert et al. (29), stated that increased the thickness of the margins to avoid the
irregularity induced by milling a brittle material like zirconia based ceramics by using
special parameters, and they suggested manual adjustment under light microscopy.
However, the present assessed that special parameters used for the Celtra Duo and the
emax lithium disilicate crown sufficient regular margin thickness. Therefore Marginal
accuracy is important to reduce plaque accumulation and secondary cavities. Nawafleh
et al. (30), suggested the goal of 25-40 μm for marginal fit while nowadays 75-160 μm are
considered clinically successful.
Wittneben et al. (31), demonstrated that the difference of fit between CAD/CAM
restorations is directly related to the gap parameters from the computer design and also
related to the intrinsic properties of the CAD/CAM system; the die spacer should be
uniform and facilitate agreed with the present study by using the same parameters for the
material used Celtra Duo and emax CAD several studies have looked at the effect of die
spacer on the retention and physical properties of crowns.
e Silva et al.,(4), Seelbach et al.,(32) and Ueda et al.,(33) concerning the marginal fit of
CAD/CAM-generated restorations based on intraoral scanning, some in vitro studies
demonstrated better marginal precision than restorations produced with conventional
impressions. This is supported by Syrek et al. (34), Ahrberg et al.,(35) Boeddinghaus et al.,
(36) Pradíes et al.,(37) and Zarauz et al.,(38) the findings of several vivo studies. In contrast,
there are also in vitro studies, that show no significant differences regarding marginal
accuracy.
CONCLUSION
Lithium disilicate provided better marginal fit than polished and glazed Celtra Duo.
REFERENCES
1. Galhano GÁP, Pellizzer EP, Mazaro JVQ. Optical impression systems for CAD-CAM
restorations. J Craniofac Surg. 2012;23:e575-e9.
2. Hudon V BF, Black AF, Damour O, Germain L, Auger FA. A tissue-engineered
endothelialized dermis to study the modulation of angiogenic and angiostatic molecules
on capillary-like tube formation in vitro. Br J Dermatol. 2003;148:1094-104.
3. Beuer F, Schweiger J, Edelhoff D. Digital dentistry: an overview of recent developments
for CAD/CAM generated restorations. Br Dent J. 2008;204:505-11.
4. e Silva JSA, Erdelt K, Edelhoff D, Araújo É, Stimmelmayr M, Vieira LCC, et al.
Marginal and internal fit of four-unit zirconia fixed dental prostheses based on digital and
conventional impression techniques. Clin Oral Investig. 2014;18:515-23.
5. Birnbaum NS, Aaronson HB. Dental impressions using 3D digital scanners: virtual
becomes reality. Compend Contin Educ Dent. 2008;29:494-505.
6. Christensen GJ. Will digital impressions eliminate the current problems with
conventional impressions. J Am Dent Assoc 2008;139:761-3.
7. Laurent M, Scheer P, Dejou J, Laborde G. Clinical evaluation of the marginal fit of cast
crowns–validation of the silicone replica method. J Oral Rehabil. 2008;35:116-22.
8. Boitelle P, Mawussi B, Tapie L, Fromentin O. A systematic review of CAD/CAM fit
restoration evaluations. J Oral Rehabil. 2014;41:853-74.
9. Persson A, Andersson M, Oden A, Sandborgh-Englund G. A three-dimensional
evaluation of a laser scanner and a touch-probe scanner. J Prosthet Dent. 2006;95:194-
200.
10. Colpani JT, Borba M, Della Bona Á. Evaluation of marginal and internal fit of ceramic
crown copings. Dent Mater. 2013;29:174-80.
11. Christensen GJ. Clinical and research advancements in cast-gold restorations. J Prosthet
Dent. 1971;25:62-8.
12. Fransson B, Oilo G, Gjeitanger R. The fit of metal-ceramic crowns, a clinical study. Dent
Mater. 1985;1:197-9.
13. Schaefer O, Decker M, Wittstock F, Kuepper H, Guentsch A. Impact of digital
impression techniques on the adaption of ceramic partial crowns in vitro. J Dent.
2014;42:677-83.
14. Fasbinder DJ. Computerized technology for restorative dentistry. Am J Dent.
2013;26:115-20.
15. Batson ER, Cooper LF, Duqum I, Mendonca G. Clinical outcomes of three different
crown systems with CAD/CAM technology. J Prosthet Dent. 2014;112:770-7.
16. Neves FD, Prado CJ, Prudente MS, Carneiro TA, Zancope K, Davi LR, et al. Micro-
computed tomography evaluation of marginal fit of lithium disilicate crowns fabricated
by using chairside CAD/CAM systems or the heat-pressing technique. J Prosthet Dent.
2014;112:1134-40.
17. Roulet JF, Reich T, Blunck U, Noack M. Quantitative margin analysis in the scanning
electron microscope. Scanning Microsc. 1989;3:147-59.
18. Kohorst P, Brinkmann H, Li J, Borchers L, Stiesch M. Marginal accuracy of four‐unit
zirconia fixed dental prostheses fabricated using different computer‐aided
design/computer‐aided manufacturing systems. Eur J Oral Sci. 2009;117:319-25.
19. Preis V, Behr M, Hahnel S, Rosentritt M. Influence of cementation on in vitro
performance, marginal adaptation and fracture resistance of CAD/CAM-fabricated ZLS
molar crowns. Dent Mater. 2015;31:1363-9.
20. Pelekanos S, Koumanou M, Koutayas SO, Zinelis S, Eliades G. Micro-CT evaluation
of the marginal fit of different In-Ceram alumina copings. Eur J Esthet Dent.
2009;4:278-92.
21. Heffernan MJ, Aquilino SA, Diaz-Arnold AM, Haselton DR, Stanford CM, Vargas MA.
Relative translucency of six all-ceramic systems. Part II: core and veneer materials. J
Prosthet Dent. 2002;88:10-5.
22. Kelly JR. Dental ceramics: current thinking and trends. Dent Clin North Am.
2004;48:viii, 513-30.
23. Azarbal A. Marginal fit comparison of CAD/CAM crowns milled from two different
materials. Ph.D. Thesis. Dental Surgery Department, Faculty of Dentistry, Shahid
Beheshti University. 2010.
24. Zimmermann M, Valcanaia A, Neiva G, Mehl A, Fasbinder D. Digital evaluation of the
fit of zirconia-reinforced lithium silicate crowns with a new three-dimensional approach.
Quintessence Int. 2017:9-15.
25. Brenes C. Micro-CT evaluation of the marginal fit of CAD/CAM all ceramic crowns.
M.Sc. Thesis. Faculty of University, North Carolina at Chapel Hill, School of Dentistry.
2014.
26. Holmes JR, Bayne SC, Holland GA, Sulik WD. Considerations in measurement of
marginal fit. J Prosthet Dent. 1989;62:405-8.
27. Holmes JR, Sulik WD, Holland GA, Bayne SC. Marginal fit of castable ceramic crowns.
J Prosthet Dent. 1992;67:594-9.
28. Taha D, Spintzyk S, Sabet A, Wahsh M, Salah T. Assessment of marginal adaptation and
fracture resistance of endocrown restorations utilizing different machinable blocks
subjected to thermomechanical aging. J Esthet Restor Dent. 2018;30:319-28.
29. Tinschert J, Natt G, Mautsch W, Spiekermann H, Anusavice K. Marginal fit of alumina-
and zirconia-based fixed partial dentures produced by a CAD/CAM system. Oper Dent.
2001;26:367-74.
30. Nawafleh NA, Mack F, Evans J, Mackay J, Hatamleh MM. Accuracy and reliability of
methods to measure marginal adaptation of crowns and FDPs: a literature review. J
Prosthodont. 2013;22:419-28.
31. Wittneben J-G, Wright RF, Weber H-P, Gallucci GO. A systematic review of the clinical
performance of CAD/CAM single-tooth restorations. Int J Prosthodont. 2009;22:466-71.
32. Seelbach P, Brueckel C, Wöstmann B. Accuracy of digital and conventional impression
techniques and workflow. Clin Oral Investig. 2013;17:1759-64.
33. Ueda K, Beuer F, Stimmelmayr M, Erdelt K, Keul C, Güth J-F. Fit of 4-unit FDPs from
CoCr and zirconia after conventional and digital impressions. Clin Oral Investig.
2016;20:283-9.
34. Syrek A, Reich G, Ranftl D, Klein C, Cerny B, Brodesser J. Clinical evaluation of all-
ceramic crowns fabricated from intraoral digital impressions based on the principle of
active wavefront sampling. J Dent. 2010;38:553-9.
35. Ahrberg D, Lauer HC, Ahrberg M, Weigl P. Evaluation of fit and efficiency of
CAD/CAM fabricated all-ceramic restorations based on direct and indirect digitalization:
a double-blinded, randomized clinical trial. Clin Oral Investig. 2016;20:291-300.
36. Boeddinghaus M, Breloer ES, Rehmann P, Wöstmann B. Accuracy of single-tooth
restorations based on intraoral digital and conventional impressions in patients. Clin Oral
Investig. 2015;19:2027-34.
37. Pradíes G, Zarauz C, Valverde A, Ferreiroa A, Martínez-Rus F. Clinical evaluation
comparing the fit of all-ceramic crowns obtained from silicone and digital intraoral
impressions based on wavefront sampling technology. J Dent. 2015;43:201-8.
38. Zarauz C, Valverde A, Martinez-Rus F, Hassan B, Pradies G. Clinical evaluation
comparing the fit of all-ceramic crowns obtained from silicone and digital intraoral
impressions. Clin Oral Investig. 2016;20:799-806.