The use of 3D printers in dentistry is expected to increase in the future. However, there is limited information available on the accuracy of dental 3D printers for creating dental and implant models. This study aimed to compare the accuracy of 3D-printed casts and traditional plaster casts for the fabrication of tooth-supported and implant-supported restorations.
Materials and Methods:
This in vitro study involved a dental model with implant analogs placed at the sites of the right first premolar and molar for an implant-supported bridge and the left first premolar and molar that received preparation for a tooth-supported bridge. Addition silicone impressions were made and poured with dental stone to create 10 plaster casts. The model was scanned using an intraoral scanner, and 20 casts were 3D-printed using digital light processing (DLP) and liquid crystal display (LCD) printers (10 casts for each method). All 30 casts, including the reference model, were scanned using a laboratory scanner, and the obtained Standard Triangle Language files were superimposed in Geomagic software. Data analysis revealed violations of normality and homogeneity of variances. As a result, the Kruskal–Wallis H test, a nonparametric method, was employed to compare root mean square (1 RMS = 100 μm) values across three groups. All statistical analyses were performed using SPSS version 27. RMS values were calculated (P < 0.05).
Results:
The RMS value was significantly lower in the conventional plaster cast group compared to the LCD group (P = 0.002). However, there was no significant difference between the LCD and DLP groups (P = 0.214) or between the conventional and DLP groups (P = 0.345). The interdental distance in the conventional group was significantly lower than that in the 3D-printed groups (P < 0.05), but there was no significant difference between the two printing methods (P = 0.31). The interimplant distance was lower in the 3D-printed groups compared to the conventional group, and this difference was significant between the DLP and conventional groups (P = 0.02).
Conclusion:
Although plaster casts demonstrated higher accuracy, 3D-printed casts using additive technology yielded accurate results within the clinically acceptable range (<200 μm).
Impression making and fabrication of a three-dimensional (3D) cast are crucial steps in the production of prosthetic restorations. Achieving optimal marginal and internal fit for fixed partial dentures (FPDs), as well as a passive fit for implant-supported restorations, is essential for successful and durable restorations. To achieve this, a precise impression and error-free model fabrication are prerequisites.[1-3]
Traditionally, intraoral impressions are made using elastomeric materials and poured with dental stone to create plaster casts. While this technique has been successful, it has drawbacks such as patient discomfort, taste stimulation, impression material distortion, and limitations of plaster models, including volumetric changes, fracture, degradation, wear, loss of surface texture, and contamination from saliva and blood.[4,5]
With technological advancements in intraoral scanners, computer-aided design and computer-aided manufacturing (CAD/CAM) technology have gained popularity in prosthetic restoration fabrication. 3D digital models created using intraoral scanners eliminate the need for conventional impressions and plaster casts. Furthermore, they offer advantages such as permanent data storage and reduced patient discomfort.[6-8]
Intraoral scanning data are saved in Standard Triangle Language (STL) format and used for fabricating 3D models and final restorations.[9] Some restorations can be directly fabricated using digital impressions obtained from intraoral scanners through CAD/CAM technology, eliminating the need for a physical model. However, a physical model is still required for certain applications such as porcelain application, manual waxing for cast restorations, or heat pressing of lithium disilicate ceramic.[9] To fabricate a physical 3D model from digital data, two methods can be employed: subtractive technique using a milling machine or additive technique using 3D printing.[9,10] The milling technique reduces treatment time and offers advantages for dental clinicians, patients, and laboratory technicians. However, it has drawbacks such as material waste, limitations in restoration thickness, and lower accuracy in recording details due to bur size and high equipment costs.[11] On the other hand, the additive technique, also known as rapid prototyping and 3D printing, is based on layer-by-layer material addition. It provides high flexibility in design, accurate recording of details, and minimal material loss.[12-14]
For the fabrication of casts, different photopolymerization techniques, such as VAT polymerization (a type of 3D printing technology that uses a vat of liquid photopolymer resin), specifically stereolithography (SLA) and digital light processing (DLP), can be utilized.[15,16] SLA and DLP printers function similarly, involving the polymerization of a light-sensitive liquid resin.[17] SLA technology employs a single-point laser for polymerization, whereas DLP works through a projector.[18] Casts fabricated using SLA technique exhibit high accuracy, a smooth surface, and excellent mechanical strength. However, this technique is time-consuming, requiring up to 12 h for printing with the highest accuracy. On the other hand, DLP offers the advantage of faster printing as the entire layer is polymerized simultaneously.[18]
Liquid crystal display (LCD) printing technology has gained popularity due to its cost-effectiveness compared to other 3D printers utilizing VAT polymerization. LCD printing does not involve light emission through lenses or other components, thereby avoiding pixel distortion that could affect the results.[19]
The advantages of 3D-printed casts include low weight, reduced risk of fracture, high wear resistance, and the ability to fabricate multiple casts simultaneously.[20] The accuracy of casts produced using additive techniques depends on various factors such as data collection and processing quality, scanner technology, scanning strategy, preparation of tooth or implant scan body, lighting conditions, operator experience, and scanner calibration.[21] In the fabrication process, accuracy can be influenced by additive manufacturing technology, printer calibration, polymer composition, cast design, supporting structure, layer thickness, and fabrication angulation. Finishing processes such as the removal of excess material and supporting structures, final polymerization, and storage can also lead to dimensional changes.[22-26]
Low accuracy of the model would require significant clinical adjustments and result in ill-fitting restorations, compromising clinical outcomes. If the accuracy of 3D models fabricated by 3D printing based on intraoral scanner data is lower than that of plaster casts, the effectiveness of digital treatment may be questioned. However, limited studies have assessed the accuracy of casts produced by intraoral digital scanning, and the reported results regarding the accuracy of casts fabricated using additive manufacturing techniques for FPDs have been conflicting.[27] To address the limitations of previous studies and provide a more comprehensive evaluation, this study aimed to compare the accuracy of 3D-printed casts fabricated using DLP and LCD technologies with traditional plaster casts. By employing a rigorous methodology, including a detailed analysis of both linear and shape measurements, this research seeks to provide a more definitive assessment of the clinical applicability of 3D printing technologies in dentistry. The null hypothesis of the study was that no significant difference would be found in the accuracy of 3D-printed casts fabricated using DLP and LCD technology compared to plaster casts for tooth-supported and implant-supported FPDs.
MATERIALS AND METHODS
This in vitro study was approved by the Research Ethics Committee of Shahed University of Medical Sciences, Tehran, Iran (IR.SHAHED.REC.1402.005). This experimental study was conducted in vitro using acrylic maxillary models (500A, Nissin) with specific missing teeth: the second premolar on the left and the first and second premolars, as well as the first molar on the right.
Sample size
For the study, the sample size was determined to be 10 per group, totaling 30 participants across three independent groups. This calculation was based on the quantitative nature of the dependent variables, using a one-way ANOVA with an alpha of 0.05, a beta of 0.2, and aiming for a study power of 80%, as per the NCSS PASS 11 software (NCSS, LLC. Kaysville, USA, Utah).
Preparation of the initial model
The right quadrant received two implants at the first premolar and first molar sites to anchor a three-unit implant-supported bridge. Meanwhile, the left quadrant’s first premolar and first molar served as abutments for a similar three-unit, tooth-supported bridge.
Conventional impression and plaster model
For the conventional impression, impression copings were secured onto the model and splinted using acrylic resin. To enhance accuracy and offset resin polymerization shrinkage, the splint was bisected with a disc in the center and then reconnected. A gingival retraction cord was placed around the abutment teeth, and a suitable tray, perforated at the implant sites, was chosen. An open-tray, two-step impression was taken using an addition silicone impression material. The impression was then cast with type IV dental stone, and this method was replicated 10 times.
Digital impression and 3D printed model
For digital impression, the scan bodies were tightened with 10 N/cm torque and scanned by an intraoral scanner (TRIOS 3). The STL data were 3D printed by LCD and DLP printers. Thus, three groups (n = 10) were evaluated as follows:
Conventional group: Conventional impression and plaster model
DLP group: Digital impression and 3D printed model by DLP printer (Asiga)
LCD group: Digital impression and 3D printed model by LCD printer (Photon).
To assess the accuracy, the reference model and all obtained models were scanned using a laboratory scanner (Open Technology), and the STL files were digitized and compared. Geomagic Control X (version 2020.1; 3D Systems) was used for the comparison [Figure 1]. Mathematical algorithms were applied to align each STL file with the reference file, and the variance between the test file and the reference file was calculated using the superimposition of the STL files. The root mean square (RMS) value was calculated at four positions for the difference between the reference and scanned STL files (1 RMS = 100 μm).
Superimposition of Standard Triangle Language files in Geomagic software.
To further analyze the accuracy, shape (deformation) and distance (linear measurement) analyses were performed. For linear measurements, two hypothetical points were selected on tooth abutments and scan bodies, and the distance between them was measured and compared in the three groups [Figure 2]. For shape analysis, a curve was considered on the teeth in the buccolingual direction, and the groups were compared at 11 points [Figure 3].
Comparison of interdental and interimplant linear measurements.
Assessment of tooth curvature (deformation).
Statistical analysis
The statistical analysis was conducted using the Shapiro–Wilk test to analyze the normality of data distribution and the Levene’s test to assess the homogeneity of variances. Since the data showed a non-normal distribution and nonhomogeneity of variances, the Kruskal–Wallis H test was applied to compare the RMS values among the three groups. All statistical analyses were performed using SPSS version 27 (IBM, Armonk, NY, USA) (P < 0.05).
RESULTS
The study findings indicate that the RMS value was highest in the LCD group and lowest in the conventional group, with a significant difference between the conventional and LCD groups (P = 0.002). However, no significant differences were observed between the LCD and DLP (P = 0.214) or DLP and conventional (P = 0.345) groups [Table 1].
Pairwise comparisons of the groups regarding the root mean square (1 root mean square=100 µm)
In terms of interdental and interimplant linear measurements, differences were noted compared to the reference model. The interdental distance was significantly smaller in the conventional group compared to the printed groups (P = 0.01 and P = 0.02), whereas no significant difference was found between the two printing groups (P = 0.31). In addition, the interimplant distance was smaller in the printed group than in the conventional group, with a significant difference observed between the DLP and conventional group (P = 0.02).
The deformation analysis indicated that tooth type (premolar and molar) did not have a significant impact on accuracy (P > 0.5). When comparing interdental and interimplant areas, the conventional group exhibited the highest deformation, whereas the DLP group showed the lowest deformation. Significantly different deformations were observed in the interdental area among the three groups (P < 0.05), whereas no significant differences were found in the interimplant area (P > 0.05). Across all groups, deformation in the interdental area was notably greater than in the interimplant area (P = 0.000). Pairwise comparisons of maximum differences in interdental and interimplant areas are detailed in Table 2.
Pairwise comparisons of the groups regarding maximum difference in interdental and interimplant areas regarding the root mean square (1 root mean square=100 µm)
DISCUSSION
This study compared the accuracy of 3D-printed casts using DLP and LCD technology with plaster casts for making dental prostheses. Plaster casts were found to be more accurate, rejecting the null hypothesis. However, 3D-printed casts still showed clinically acceptable accuracy (<200 μm) and can be used for making prostheses, as supported by previous research.[28] Abdeen et al.[29] also found that despite some deviations, the 3D-printed casts were within an acceptable clinical range.
A comparison of additive manufacturing techniques in the study showed lower RMS values for 3D printing using DLP, indicating higher accuracy compared to LCD printing, which was in agreement with the results of Moon et al.[30] and Ciocan et al.[31]
Differences between DLP and LCD printers include lighting duration, light wavelength, and supply volume. LCD printers use liquid crystal for polymerization, offering high resolution but may have slight light leakage affecting accuracy.[32] Light intensity is a key difference between DLP and LCD printing, impacting print speed and polymerization degree.[33] While LCD printers are cost-effective with good resolution, they have a shorter lifespan and require frequent maintenance due to low light intensity causing potential resin polymerization issues.[33]
The clinically acceptable marginal fit for FPDs ranges from 90 to 200 μm.[34,35] Several researchers believe that an optimal marginal fit is 120 μm.[34] For the proximal contacts, 50 μm is usually considered an optimal fit.[36] A linear deviation of up to 200 μm is deemed acceptable due to measurement errors in plaster casts.[37]
Tsolakis et al.[19] compared LCD and DLP 3D printers for dental model printing, finding higher accuracy with DLP for dental casts. Both printer types were deemed suitable for orthodontic appliance fabrication, which was in agreement with the present results.
In vitro, studies showed acceptable accuracy for additive technology and plaster casts in implant- and tooth-supported restorations. Deviations in 3D-printed casts and conventional methods were noted, with factors like operator experience affecting plaster cast accuracy.[28] Interdental area deviations in 3D-printed casts were attributed to complex anatomy, whereas interimplant area accuracy was influenced by cast topography, the accurate position of implant analog, and polymer flexibility.[38]
Tan et al.[1] and Banjar et al.[39] and Gagnon-Audet et al.[40] indicated linear distortion due to resin shrinkage could affect analog seating. For parallel implants, the 3D linear distortion of resin models printed by the DLP printer was similar to that of conventional plaster casts. Alshawaf et al.[41] found higher distortion levels in resin 3D-printed casts based on implant angulation. Chia et al.[42] found no significant difference in 3D linear distortion of virtual models of parallel and angulated implants. Thus, additional accumulated distortion for angulated implants can be due to photopolymer resin shrinkage and distortion of the site of digital analogs.
According to the present results, conventional methods showed higher interdental area accuracy, while 3D printing excelled in the interimplant area. Future research on restoration fabrication and fit assessment is recommended.
CONCLUSION
Although plaster casts had higher accuracy, 3D-printed casts by the additive technology also yielded accurate results. The accuracy of 3D-printed casts at the interimplant area was higher than that at the interdental area. Furthermore, 3D-printed casts by the DLP technology showed higher accuracy than those printed by the LCD monitor.
Financial support and sponsorship
Nil.
Conflicts of interest
The authors of this manuscript declare that they have no conflicts of interest, real or perceived, financial or non-financial in this article.
REFERENCESTanS, TanMY, WongKM, MariaR, TanKBComparison of 3D positional accuracy of implant analogs in printed resin models versus conventional stone casts: Effect of implant angulation. J Prosthodont2024; 33: 46–53.KuhnK, OstertagS, OstertagM, WalterMH, LuthardtRG, RudolphHComparison of an analog and digital quantitative and qualitative analysis for the fit of dental copings. Comput Biol Med2015; 57: 32–41.KaleE, SekerE, YilmazB, ÖzcelikTBEffect of cement space on the marginal fit of CAD-CAM-fabricated monolithic zirconia crowns. J Prosthet Dent2016; 116: 890–5.AlsharbatyMH, AlikhasiM, ZarratiS, ShamshiriARA clinical comparative study of 3-dimensional accuracy between digital and conventional implant impression techniques. J Prosthodont2019; 28: e902–8.ChochlidakisKM, PapaspyridakosP, GeminianiA, ChenCJ, FengIJ, ErcoliCDigital versus conventional impressions for fixed prosthodontics: A systematic review and meta-analysis. J Prosthet Dent2016; 116: 184–90.e12.ChewAA, EsguerraRJ, TeohKH, WongKM, NgSD, TanKBThree-dimensional accuracy of digital implant impressions: Effects of different scanners and implant level. Int J Oral Maxillofac Implants2017; 32: 70–80.PatzeltSB, EmmanouilidiA, StampfS, StrubJR, AttWAccuracy of full-arch scans using intraoral scanners. Clin Oral Investig2014; 18: 1687–94.VojdaniM, TorabiK, FarjoodE, KhalediAComparison the marginal and internal fit of metal copings cast from wax patterns fabricated by CAD/CAM and conventional wax up techniques. J Dent (Shiraz)2013; 14: 118–29.YauHT, YangTJ, LinYKComparison of 3-D printing and 5-axis milling for the production of dental E-models from intra-oral scanning. Comput Aided Des2016; 13: 32–8.PatzeltSB, BishtiS, StampfS, AttWAccuracy of computer-aided design/computer-aided manufacturing-generated dental casts based on intraoral scanner data. J Am Dent Assoc2014; 145: 1133–40.AbdullaMA, AliH, JamelRSCAD-CAM technology: A literature review. Rafidain Dent J2020; 20: 95–113.NgoTD, KashaniA, ImbalzanoG, NguyenKT, HuiDAdditive manufacturing (3D printing): A review of materials, methods, applications and challenges. Compos B Eng2018; 143: 172–96.RoufS, MalikA, SinghN, RainaA, NaveedN, SiddiquiMI, HaqMIAdditive manufacturing technologies: Industrial and medical applications. SUSOC2022; 3: 258–74.ChoiJW, KimNClinical application of three-dimensional printing technology in craniofacial plastic surgery. Arch Plast Surg2015; 42: 267–77.JockuschJ, ÖzcanMAdditive manufacturing of dental polymers: An overview on processes, materials and applications. Dent Mater J2020; 39: 345–54.SimJY, JangY, KimWC, KimHY, LeeDH, KimJHComparing the accuracy (trueness and precision) of models of fixed dental prostheses fabricated by digital and conventional workflows. J Prosthodont Res2019; 63: 25–30.KesslerA, HickelR, ReymusM3D printing in dentistry-state of the art. Oper Dent2020; 45: 30–40.MsallemB, SharmaN, CaoS, HalbeisenFS, ZeilhoferHF, ThieringerFMEvaluation of the dimensional accuracy of 3D-printed anatomical mandibular models using FFF, SLA, SLS, MJ, and BJ printing technology. J Clin Med2020; 9: 817.TsolakisIA, GizaniS, PanayiN, AntonopoulosG, TsolakisAIThree-dimensional printing technology in orthodontics for dental models: A systematic review. Children (Basel)2022; 9: 1106.KasparovaM, GrafovaL, DvorakP, DostalovaT, ProchazkaA, EliasovaH, et al. Possibility of reconstruction of dental plaster cast from 3D digital study models. Biomed Eng Online2013; 12: 49.ResendeCC, BarbosaTA, MouraGF, TavaresLD, RizzanteFA, GeorgeFM, et al. Influence of operator experience, scanner type, and scan size on 3D scans. J Prosthet Dent2021; 125: 294–9.BohnerL, GambaDD, HanischM, MarcioBS, Tortamano NetoP, LaganáDC, et al. Accuracy of digital technologies for the scanning of facial, skeletal, and intraoral tissues: A systematic review. J Prosthet Dent2019; 121: 246–51.RehmannP, SichwardtV, WöstmannBIntraoral scanning systems: Need for maintenance. Int J Prosthodont2017; 30: 27–9.Revilla-LeónM, JiangP, SadeghpourM, Piedra-CascónW, ZandinejadA, ÖzcanM, et al. Intraoral digital scans-Part 1: Influence of ambient scanning light conditions on the accuracy (trueness and precision) of different intraoral scanners. J Prosthet Dent2020; 124: 372–8.Revilla-LeónM, SubramanianSG, ÖzcanM, KrishnamurthyVRClinical study of the influence of ambient light scanning conditions on the accuracy (Trueness and Precision) of an intraoral scanner. J Prosthodont2020; 29: 107–13.AmmounR, SupronoMS, GoodacreCJ, OyoyoU, CarricoCK, KattadiyilMTInfluence of tooth preparation design and scan angulations on the accuracy of two intraoral digital scanners: An in vitro study based on 3-dimensional comparisons. J Prosthodont2020; 29: 201–6.ParkJM, JeonJ, KoakJY, KimSK, HeoSJDimensional accuracy and surface characteristics of 3D-printed dental casts. J Prosthet Dent2021; 126: 427–37.ParizeH, Dias Corpa TardelliJ, BohnerL, SesmaN, MugliaVA, Cândido Dos ReisADigital versus conventional workflow for the fabrication of physical casts for fixed prosthodontics: A systematic review of accuracy. J Prosthet Dent2022; 128: 25–32.AbdeenL, ChenYW, KostagianniA, FinkelmanM, PapathanasiouA, ChochlidakisK, et al. Prosthesis accuracy of fit on 3D-printed casts versus stone casts: A comparative study in the anterior maxilla. J Esthet Restor Dent2022; 34: 1238–46.MoonW, KimS, LimBS, ParkYS, KimRJ, ChungSHDimensional accuracy evaluation of temporary dental restorations with different 3D printing systems. Materials (Basel)2021; 14: 1487.CiocanLT, VasilescuVG, PanteaM, PiţuruSM, ImreM, Ripszky TotanA, et al. The Evaluation of the trueness of dental mastercasts obtained through different 3D printing technologies. J Funct Biomater2024; 15: 210.QuanH, ZhangT, XuH, LuoS, NieJ, ZhuXPhoto-curing 3D printing technique and its challenges. Bioact Mater2020; 5: 110–5.WuL, ZhaoL, JianM, MaoY, YuM, GuoXEHMP-DLP: Multi-projector DLP with energy homogenization for large-size 3D printing. Rapid Prototyp J2018; 24: 1500–10.McLeanJW, von FraunhoferJAThe estimation of cement film thickness by an in vivo technique. Br Dent J1971; 131: 107–11.FranssonB, OiloG, GjeitangerRThe fit of metal-ceramic crowns, a clinical study. Dent Mater1985; 1: 197–9.KimDS, RothchildJA, SuhKWAn evaluation and adjustment method for natural proximal contacts of crowns using diamond dental strips: A case report. Gen Dent2013; 61: 60–3.HazeveldA, Huddleston SlaterJJ, RenYAccuracy and reproducibility of dental replica models reconstructed by different rapid prototyping techniques. Am J Orthod Dentofacial Orthop2014; 145: 108–15.Revilla-LeónM, FogartyR, BarringtonJJ, ZandinejadA, ÖzcanMInfluence of scan body design and digital implant analogs on implant replica position in additively manufactured casts. J Prosthet Dent2020; 124: 202–10.BanjarA, ChenYW, KostagianniA, FinkelmanM, PapathanasiouA, ChochlidakisK, et al. Accuracy of 3D printed implant casts versus stone casts: A comparative study in the anterior maxilla. J Prosthodont2021; 30: 783–8.Gagnon-AudetA, AnH, JensenUF, BratosM, SorensenJATrueness of 3-dimensionally printed complete arch implant analog casts. J Prosthet Dent2023Aug 7: S0022-3913(23) 00421-3.AlshawafB, WeberHP, FinkelmanM, El RafieK, KudaraY, PapaspyridakosPAccuracy of printed casts generated from digital implant impressions versus stone casts from conventional implant impressions: A comparative in vitro study. Clin Oral Implants Res2018; 29: 835–42.ChiaVA, EsguerraRJ, TeohKH, TeoJW, WongKM, TanKBIn vitro three-dimensional accuracy of digital implant impressions: The effect of implant angulation. Int J Oral Maxillofac Implants2017; 32: 313–21.