Abstract
Denture base fabrication has advanced with the introduction of computer-aided design and manufacturing (CAD-CAM) techniques, such as subtractive milling and additive 3D printing. However, concerns persist regarding the mechanical performance of 3D-printed denture bases. This systematic review and meta-analysis aimed to evaluate and compare the flexural strength (FS), surface hardness, fracture toughness, and impact strength of 3D-printed denture bases with those produced by milling and conventional methods. A systematic search of PubMed, Scopus, Web of Science, and Cochrane Central was conducted up to March 2025 in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In vitro studies comparing 3D-printed denture bases with milled or conventional heat-polymerized bases in terms of mechanical properties were included. The Joanna Briggs Institute (JBI) checklist for quasi-experimental studies was used. Data was extracted, and quantitative synthesis was performed where possible. Thirty-eight studies were included, comprising 562 specimens for FS and 231 for surface hardness. Meta-analysis revealed that milled denture bases demonstrated the highest flexural strength (MD = -1.11, 95% CI [-1.29, -0.93], p < 0.001) and surface hardness (MD = -26.49, 95% CI [-29.89, -23.10], p < 0.001) compared to 3D-printed bases. Conventional bases outperformed 3D-printed ones in most mechanical properties. Milled denture bases exhibited the highest FS (120–146 MPa), followed by conventional PMMA (95–119 MPa), while 3D-printed bases showed wider variability (28–128 MPa). Surface hardness (VHN), fracture toughness (MPa·m¹/²), and impact strength (kJ/m²) were also superior in milled bases. Statistical heterogeneity was present due to differences in materials, printing orientation, and post-curing protocols. Subgroup analysis based on printing orientation (0°, 45°, and 90°) partially explained this variability, showing higher FS in horizontally printed specimens. Although 3D-printed denture bases offer customization and production efficiency, their mechanical properties remain inferior to milled alternatives. Optimization of resin formulations, printing parameters, and post-processing protocols is essential to enhance their clinical performance. The main limitations were high heterogeneity among included studies, differences in material formulations, variability in testing standards, and the in vitro nature of most included studies. This review was registered in PROSPERO (CRD420250639092). There were no deviations from the registered protocol.
Introduction
Complete denture fabrication is very important management for edentulism1. It has undergone significant advancements since the introduction of polymethylmethacrylate (PMMA) in the 1930s. PMMA remains the most widely used material for denture base resins because of its high mechanical strength, dimensional stability, biocompatibility, and ease of processing2,3. Despite these advantages, conventional denture bases are susceptible to midline fractures, mechanical fatigue, and polymerization shrinkage, which can compromise clinical longevity4,5. Notably, up to 63% of dentures may fracture within the first three years of use, emphasizing the need for improved materials and fabrication techniques6,7.
To address the limitations of conventional compression-molded dentures, alternative methods such as chemically activated resins, thermoplastic injection molding, and light-activated resins were introduced. While these innovations improved strength and reduced polymerization shrinkage, they also posed challenges such as residual monomer content, limited adaptation, and occasional allergic reactions8,9,10.
In recent years, the advent of computer-aided design and manufacturing (CAD-CAM) technologies has revolutionized denture base fabrication. CAD-CAM techniques are classified into subtractive (milling) and additive (3D printing) methods1. Subtractive CAD-CAM milling fabricates denture bases by cutting pre-polymerized PMMA blocks using computer-controlled milling machines, producing dense, homogeneous structures. Additive 3D printing builds denture bases layer by layer from liquid resin using technologies such as SLA or DLP, followed by post-curing to achieve final properties.
Milled denture bases, created from pre-polymerized resin blocks, exhibit superior mechanical properties, including higher fracture toughness, reduced porosity, and better dimensional accuracy compared to conventional methods11,12 . Milled denture base materials typically exhibit higher mechanical properties than 3D-printed ones due to the use of highly cross-linked, pre-polymerized PMMA blocks, which result in reduced porosity, enhanced polymerization, and greater homogeneity. In contrast, 3D-printed materials may suffer from incomplete polymerization, interlayer defects, and orientation-dependent weaknesses. However, milling is material-intensive and generates significant waste, which has spurred interest in additive manufacturing as a more sustainable alternative13,14.
3D printing technologies, such as stereolithography (SLA), fused deposition modeling (FDM), and selective laser sintering (SLS), fabricate dentures layer by layer, allowing for precise, complex designs with minimal material wastage. This method also reduces production time and costs, making it an attractive option for both clinicians and patients4,15. Nevertheless, 3D-printed dentures often have lower mechanical properties, including FS and hardness, compared to milled counterparts3,16,17.
The mechanical properties of denture bases, particularly flexural strength, surface hardness, fracture toughness, and impact resistance, are critical for clinical performance and patient safety. Dentures must resist masticatory forces, thermal cycling, and wear over time, and poor mechanical properties can lead to fracture, deformation, and biofilm retention. Dentures are subjected to repeated thermal cycling, which can degrade material properties over time4,16.
Studies have shown that CAD-CAM milled resins typically outperform 3D-printed materials in thermal stress resistance18,19. Also, surface properties such as roughness, microhardness, and color stability are crucial determinants of durability and patient satisfaction. For instance, rougher surfaces can promote microbial adhesion, leading to biofilm formation and staining, while smoother, harder surfaces resist wear and microbial colonization10,20,21.
The choice of fabrication method also influences denture hygiene and maintenance. Chemical denture cleansers, commonly used to maintain oral health, can affect the surface properties of denture bases. Frequent exposure to these cleansers may alter the mechanical properties of the material, including surface roughness and hardness, impacting long-term performance11,22. Despite the growing adoption of digital fabrication methods, there remains a lack of comprehensive data comparing the mechanical properties of 3D-printed, milled, and conventional denture base materials. Key properties such as FS, fracture toughness, and resistance to thermal and mechanical stresses must meet clinical standards to ensure success23,24.
Given the inherent differences in material structure and fabrication protocols, it is expected that milled, 3D-printed, and conventionally processed bases will exhibit distinct mechanical behaviors. For example, milling uses highly cross-linked PMMA blocks with uniform polymerization, whereas 3D printing is affected by build angle, resin formulation, and post-curing techniques. Several studies have compared these fabrication methods using in vitro testing, yet no prior systematic review has comprehensively synthesized their mechanical properties across multiple outcomes. Moreover, the influence of key factors such as printing orientation, post-processing protocols, and material type remains unclear.
Therefore, this systematic review and meta-analysis aims to evaluate and compare the flexural strength, surface hardness, fracture toughness, and impact strength of 3D-printed denture base materials against milled and conventional alternatives. It further seeks to identify processing variables that influence mechanical performance, ultimately guiding clinical decision-making for durable and efficient prosthodontic rehabilitation.
Materials and methods
Study design & search strategy
This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Fig. 1).
A comprehensive literature search was performed in December 2024 across four major electronic databases: PubMed, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials. The search strategy included a combination of keywords related to denture base fabrication and material properties, such as “3D printing,” “CAD-CAM milling,” “denture base,” “mechanical properties,” “additive manufacturing,” and “subtractive manufacturing.” The complete search strings and Boolean operators for each database are provided in Supplementary Table S1.
To ensure a systematic and unbiased screening process, all identified records were imported into Rayyan – Intelligent Systematic Review (Rayyan QCRI, Free Web Version), for both title/abstract screening and full-text review. Rayyan (Qatar Computing Research Institute, Doha, Qatar) is a web-based tool designed to facilitate collaborative and blinded screening by multiple reviewers, with features for resolving conflicts and tracking inclusion/exclusion decisions25. This approach enabled efficient management of search results and consistent application of the inclusion and exclusion criteria throughout the study selection phase. Additional variables extracted included resin brand, build orientation, post-curing protocol, country of study, and thermocycling conditions.
For comparability, only studies using standardized specimen geometries and testing protocols were included in the quantitative synthesis. Where differences existed, data were normalized or analyzed separately in subgroup analyses. When details were missing and could not be retrieved from the study, those data points were excluded from the quantitative synthesis to maintain accuracy and transparency in the analysis. No assumptions were made.
Study selection criteria
Studies were included if they compared mechanical properties of 3D-printed denture bases with milled or conventional heat-polymerized bases, regardless of resin brand, printing technology (e.g., SLA, DLP, FDM), or post-processing protocol. Studies were excluded if they used only aesthetic or color stability outcomes, or if they were case reports, reviews, or non-experimental studies.
Inclusion criteria.
Studies were included if:
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Were in vitro experimental studies.
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Compared 3D-printed denture base materials to milled or conventional heat-polymerized PMMA bases.
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Reported at least one mechanical property: flexural strength, surface hardness, fracture toughness, or impact strength.
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Used standardized specimen geometry (e.g., ISO 20795-1).
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Provided quantitative outcomes.
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Were published in English with full-text available.
Exclusion criteria:
Studies were excluded if:
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Focused solely on aesthetic or color outcomes.
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Were case reports, reviews, or editorials.
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Employed unconventional specimen shapes or unclear fabrication/testing protocols.
Data extraction and quality assessment
Data were independently extracted by two reviewers using a pre-designed data extraction form. Extracted data included study design, country, material type, fabrication technique, printer model, layer thickness, build orientation, post-curing protocol, mechanical test method, and outcome values. A detailed summary of each included study’s resin type, printing orientation, layer thickness, post-curing protocol, and mechanical testing method is provided in Supplementary Table S3. Each step (screening, data extraction and quality assessment) was performed independently by two authors, and a third author reviewed all data for consistency and accuracy.
Quality assessment method
The Joanna Briggs Institute (JBI) Checklist for Quasi-Experimental Studies was used to assess risk of bias across nine domains, focusing on:
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Selection bias.
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Confounding factors.
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Intervention validity.
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Outcome measurement reliability.
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Statistical validity.
Disagreements between reviewers during study selection or risk of bias assessment were resolved through discussion and consensus, with a third reviewer consulted if necessary. Also, results were compared to ISO 20795-1 and ADA Specification No. 12 benchmarks for denture base materials where applicable.
Meta analysis assessment
Meta-analyses were performed using Review Manager (RevMan) version 5.4. Continuous outcomes were synthesized using inverse-variance Fixed-effects models and reported as mean differences (MD) with 95% confidence intervals (CI). Heterogeneity was assessed using the I² statistic, with I² values > 50% considered substantial. The subgroup analyses explored potential sources of heterogeneity, including material type, post-processing techniques, and printing orientation. Specifically, studies were stratified by build angle (0°, 45°, 90°) where data permitted, to evaluate the influence of printing direction on mechanical performance.
Studies were grouped for meta-analysis based on resin type, printer type, and build orientation. Sensitivity analyses excluded high-Sensitivity analyses excluded high-risk-of-bias studies to assess robustness. Publication bias was evaluated via funnel plots if ≥ 10 studies were included.
Results
Study characteristics
The systematic search yielded 696 records. After removing duplicates, 395 unique articles remained for title and abstract screening. Of these, 345 articles were excluded for irrelevance or failure to meet the inclusion criteria. Forty-eight articles were deemed potentially eligible based on preliminary screening. After a full-text review, a total of 38 in vitro studies were included in this review (Table 1). The number of studies contributing data for each mechanical property was:
Flexural strength (FS): 21 studies.
Surface hardness: 19 studies.
Fracture toughness: 5 studies.
Impact strength: 4 studies.
The distribution of studies by country showed that the highest number were conducted in Saudi Arabia (6 studies) and Egypt (5 studies), followed by Brazil and the USA (4 studies each) (Table 1). India contributed 3 studies, while Italy, Turkey, and Croatia each contributed 2 studies. Other countries, including Romania, Korea, Switzerland, Canada, Jordan, Portugal, and Taiwan, each contributed 1 study, highlighting a broad international research landscape.
The synthesis of mechanical properties across the included studies encompassed a diverse range of denture base materials fabricated via conventional heat-polymerization, CAD/CAM milling, and various 3D printing technologies (Table 1). The studies varied in sample sizes, resin brands, and testing protocols, yet collectively provided comprehensive data on fracture toughness, FS, hardness, and related mechanical outcomes. Most studies employed standardized in vitro testing methods, ensuring comparability of results. For each included study, detailed information on key mechanical testing protocols, including specimen dimensions, loading rates, post-curing protocols, resin brand and type, build orientation, and thermocycling conditions, was extracted and summarized. This comprehensive summary is presented in Supplementary (Table S3) to facilitate comparison and interpretation of results across studies. Units used for testing each property are:
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MPa (megapascal) for flexural strength.
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VHN (Vickers Hardness Number) for surface hardness.
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(megapascal times square root of meter) MPa·m¹/² for fracture toughness.
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(kilojoule per square meter) kJ/m² for impact strength.
For comparison between values of surface hardness Knoop hardness number was converted to Vicker hardness number for standardization.
Quality assessment results
The JBI checklist showed a low risk of bias in all studies for questions 1, 2, 3, 4, 6,7 and 9. Question 5 showed low risk in 18 studies, high risk in 5 studies and was not applicable to 16 studies. Question 8 was not applicable to all studies included (Table 2).
Risk of bias assessments indicated that the majority of included studies demonstrated low to moderate risk, with common limitations related to incomplete reporting of randomization and blinding procedures. Overall, the quality of evidence was sufficient to support meaningful synthesis, though some variability in methodological rigor was noted and considered in the interpretation of findings.
Meta analysis results
The meta-analysis of flexural strength
Meta-analysis showed that 3D-printed denture bases had significantly lower flexural strength compared to both milled and conventional bases.
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3D-printed vs. conventional: Mean difference (MD) = − 11.93 MPa, 95% CI [− 12.51, − 11.36], p < 0.001.
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3D-printed vs. milled: MD = − 1.11 MPa, 95% CI [− 1.29, − 0.93], p < 0.001.
The Pooled results for flexural strength are represented in Figs. 2 and 3. The GRADE summary of findings for the mechanical properties of 3D-printed, milled, and conventional denture base materials is presented in Supplementary Table S2.
The meta-analysis of hardness
These findings indicate that milled denture bases had the highest flexural strength and surface hardness.
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3D-printed vs. conventional: MD = − 27.06 VHN, 95% CI [− 29.85, − 24.28], p < 0.001.
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3D-printed vs. milled: MD = − 26.49 VHN, 95% CI [− 29.89, − 23.10], p < 0.001.
The Pooled results For hardness measurements are presented in Figs. 4 and 5.
Heterogeneity and publication bias
Substantial heterogeneity was observed:
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Flexural strength: I² = 78%, p < 0.001.
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Surface hardness: I² = 73%, p < 0.001.
Funnel plots were generated for FS and surface hardness (outcomes with ≥ 10 studies). Slight asymmetry suggested possible publication bias, but trim-and-fill analysis indicated only minimal impact on pooled effect sizes (adjustment < 5%).
Subgroup and sensitivity analyses
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Subgroup analysis by printing orientation (0°, 45°, 90°) showed that horizontally printed (0°) specimens had significantly higher flexural strength.
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Sensitivity analysis excluding high-risk-of-bias studies confirmed the robustness of the findings, with no change in the direction or statistical significance of results.
Flexural strength (FS)
Twenty-one studies evaluated the flexural strength of 3D-printed denture base materials compared to other manufacturing methods. The findings of these studies are summarized in Table 3.
3D-printed vs. milled materials
When comparing 3D-printed materials milled ones regarding FS, results varied among studies. However, most studies reported that CAD-CAM milled denture bases generally exhibited superior FS2,26,31,34,40,41. For instance, milled AvaDent and Keystone materials demonstrated values exceeding 140 megapascal (MPa), while the highest-performing 3D-printed material Dentca reached 128.55 ± 10.30 MPa31. Milled materials proved superior to 3D-printed ones again both before and after thermocycling, with a statistically significant difference (p < 0.05)41.
On the other hand, some unusually reported that the 3D-printed materials exhibited better flexural properties compared to the milled ones7,35,36,45,52. The FS results show that 3D-printed group exhibited the highest FS (119.11 ± 9.29 MPa), followed by the conventional group (95.28 ± 5.59 MPa) and milled group (93.01 ± 6.27 MPa)7,35,36,45,52. However, this advantage was short-lived, as the FS of 3D-printed materials deteriorated over time, ultimately dropping to nearly two-thirds of its initial value after 24 months, resulting in lower strength than both the milled and conventional materials35.
Regardless of thermocycling, 3D-printed group exhibited a statistically significant higher FS (p < 0.05) than conventional and milled materials7. Also, the 3D-printed Freeprint denture material showed the highest value of (103.33 MPa), followed by Meliodent heat cure denture base material (97.06 MPa), and Polident Pink CAD/CAM milled material (96.27 MPa)45. It was also reported that the 3D-printed materials Dentica Denture Base II and High Impact Denture Base demonstrated higher FS than the milled Ivotion denture base material36. Additionally, it was provided that the highest flexural strength values were in 3D-printed group (113.53 ± 7.94 MPa), followed by the milled (104.65 ± 5.12 MPa) and the conventional group (232.67 ± 32.60 MPa)52.
3D-printed vs. conventional materials
Conventional heat-polymerized materials generally exhibited moderate FS with values higher than the majority of 3D-printed materials but remained inferior to milled materials in most comparisons26,35,42,43. However, A few studies reported that 3D-printed materials exhibited higher FS than conventional heat polymerized denture base materials40,50,52. In one study, the 3D-printed material achieved a FS of (87.34 ± 6.39 MPa), surpassing the conventional material, which scored (80.79 ± 7.64 MPa)40. Once again, the highest mean value (123.8 MPa) was achieved with V-Print Dentbase 3D-pinted material, while Villacryl Rapid conventional heat polymerized showed the lowest mean value (101.8 MPa) showing actually no statistically significant (p = 0.527) differences50.
Surface hardness
Nineteen studies evaluated the surface hardness of 3D-printed denture base materials compared to other manufacturing methods (Table 4).
3D-printed vs. milled materials
In almost all studies comparing the hardness of 3D-printed and milled materials, milled materials demonstrated higher hardness3,8,12,16,34,35,45,57. Milled materials showed consistently superior surface hardness. For example, results revealed that the Vickers hardness of milled denture base material was higher than that of 3D-printed resins both before (18.02 ± 0.67 vs. 16.26 ± 0.79) Vicker hardness number (VHN) and after thermal cycling (16.26 ± 0.79 vs. 12.42 ± 1.30) VHN16.
Milled groups frequently recorded values exceeding 30 VHN, while 3D-printed materials such as NextDent ranged from (15.2 ± 0.15) VHN to (34.62 ± 2.1) VHN8,18,49depending on the printer and resin formulation. It recorded much lower values (15.2 ± 0.15) VHN and (20.57 ± 4.51) VHN, nearly half the milled and heat-polymerized groups2. It also scored (15.138 ± 1.706), slightly above the milled group but below the conventional49. Material4Print exhibited the lowest surface hardness among 3D-printed materials (10.16 ± 0.11) VHN, significantly lower than both milled and conventional resins29.
3D-printed vs. conventional materials
When comparing conventional heat-polymerized materials to 3D-printed ones, the conventional materials generally outperformed 3D-printed materials in surface hardness6,18,50. Studies reported values for conventional heat-polymerized resins in the range of (20–28) VHN, whereas most 3D-printed resins demonstrated lower or comparable values, with significant variability depending on resin brand and orientation. For instance, microhardness mean values ranged from 11.6 Knoop hardness number (KHN) for V-Print Dentbase to 14.9 KHN for Villacryl Rapid, with a statistically significant difference (p < 0.001) in microhardness among the tested resins.
Both conventional heat-cured resins exhibited significantly higher microhardness (p < 0.001) than the two 3D-printed light-cured resins. Within the same resin type, Denture 3D + showed significantly higher microhardness than V-Print Dentbase (p = 0.003), and Villacryl Rapid had significantly higher values than Probase Hot (p = 0.01)50. The highest mean Vickers hardness number (VHN) was recorded for conventional heat-polymerized resin (18.11 ± 0.65), followed by Dentona (16.41 ± 0.96) (VHN), ASIGA (16.24 ± 0.79) (VHN), and NextDent (16.20 ± 0.93) (VHN). The results showed a statistically significant difference (p ≤ 0.05) in surface microhardness between the conventional heat-polymerized group and the other tested groups. However, the differences in surface microhardness among the 3D-printed resin groups were statistically nonsignificant (p > 0.05)18.
Fracture toughness
Five studies evaluated the fracture toughness of 3D-printed denture base materials compared to other manufacturing methods. The results generally favorited the milled groups over the 3D-printed ones when it came to their fracture toughness values (Table 5). The fracture toughness values, by megapascal times square root of meter (MPa·m¹/²), of the CAD-CAM milled group were superior to those of the 3D-printed group both before (4.16 ± 0.06 MPa·m¹/² and 1.30 ± 0.06 MPa·m¹/², respectively) and after thermocycling (3.82 ± 0.08 MPa·m¹/² and 0.78 ± 0.05 MPa·m¹/², respectively)16. The fracture toughness of Formlabs and Dentca (3D‑printed) was notably lower than that of Leucitone 199 (conventional) (P < 0.05). In comparison to Avadent (CAD/CAM milled), Leucitone 199 (conventional) demonstrated considerably reduced fracture toughness (P < 0.05)28.
Impact strength
Only four studies evaluated the impact strength of 3D-printed denture base materials compared to other manufacturing methods (Table 6). The values of impact strength for 3D-printed groups, measured by (kilojoule per square meter) kJ/m², generally ranged somewhere between 6.32 ± 0.50 and 2.44 ± 0.31 KJ/m2 before and after thermocycling treatment43. The results revealed the milled group exhibited a greater mean impact strength than the 3D-printed group both without (P = 0.004) and with thermocycling (P = 0.050). Nonetheless, thermocycling did not significantly influence the impact strength of either group (P > 0.05)8,41.
Discussion
The evolution of denture base fabrication has significantly progressed with the introduction of 3D printing technologies. This systematic review compared the mechanical properties of 3D-printed denture base materials with conventional heat-polymerized and CAD-CAM milled alternatives. The findings revealed substantial differences in FS, surface hardness, fracture toughness, and impact strength, which are critical determinants of clinical performance. Variations in FS and surface hardness directly impact clinical longevity, resistance to fracture, and patient satisfaction regarding many dental materials58.
With a primary focus on material composition, fabrication procedures, post-processing methods, and testing protocols, this review examined a number of probable sources of heterogeneity among the study outcomes. The composition of the material became an important consideration, as different resin compositions resulted in vast differences in mechanical performance59. For example, compared to Material4Print (10.16 VHN), 3D-printed resins like NextDent and ASIGA showed higher hardness values (15–34 VHN)58. Also, 3D-printed resins displayed variability based on photoinitiator systems and monomer conversion rates, whereas milled materials showed more consistency because of their standardized pre-polymerized PMMA blocks60.
Heterogeneity was also influenced by the parameters and methods of fabrication61. The orientation of printing was important; specimens printed horizontally had greater FS because of the best layer alignment, while specimens printed vertically had anisotropic weaknesses62. Results were also affected by layer thickness; bigger layers (100–200 μm) increased durability but ran the risk of interlayer inconsistencies, whereas thinner layers (25–50 μm) increased resolution but decreased impact strength63.
Another important factor was post-curing procedures; prolonged UV curing (60 min, for example) improved FS and hardness by strengthening polymer cross-linking, however excessive curing occasionally made some resins more brittle64. Variability was further affected by environmental conditions and post-processing. Compared to milled or conventional PMMA, thermocycling considerably accelerated the degradation of 3D-printed materials, resulting in FS decreases of up to 33% over time16,65.
For milled materials, which benefited from high-pressure polymerization, showed no leftover monomers, residual monomers in 3D-printed resins functioned as plasticizers, reducing mechanical characteristics11,12. Discrepancies were also brought about by testing procedures, as disparities in equipment and standards (such as ISO 1567 for FS) among research resulted in findings that were not consistent. For instance, because specimen geometry and load applications varied, impact strength values varied from 2.44 to 6.32 kJ/m²66.
Another degree of complication was introduced by geographic and manufacturer diversity; research conducted in places like Saudi Arabia and Egypt frequently used locally accessible resins, but studies conducted in other places (such the USA and Brazil) tested commercial brands like AvaDent or Freeprint, with varying results.
The sensitivity analysis, which concluded that milled materials consistently showed improved mechanical properties, validated the findings’ robustness. Material and methodological differences were the main causes of the variation between investigations, highlighting the necessity of standardized procedures in further studies to reduce variability and improve comparability. These insights are critical for clinicians and researchers aiming to optimize denture base fabrication techniques and material selection for long-term clinical success.
Flexural strength
A high flexural strength (FS) of resin base material is critical for denture durability and for preventing failure under load67,68. Throughout its lifespan, a denture is subjected to repetitive masticatory forces, which can eventually result in cracking, fractures, or complete failure69. Such failures are exacerbated by factors like poor fit, improper design, or the presence of notches70. FS indicates how resistant a material is to fracture and offers some predictability regarding its behavior under static loads; thus, elevated values of this mechanical property are clinically significant for decreasing the incidence of fractures in a prosthetic base71.
FS testing measures the maximum stress a material can endure before yielding and reflects the combined tensile, shear, and compressive strengths of the material72. The three-point flexure test, endorsed by ISO, is the standard method for assessing the FS of polymers73, with a clinically acceptable threshold set at no less than 65 MPa (ISO 1567) for a denture base material73. The majority of studies assumed that milled restorations exhibit higher FS compared to 3D-printed ones, with each study providing its own explanation for the results2,26,31,34,40,41. The chemical makeup of the photo-polymerized resin employed in 3D-printing and the structure of the final product may be a contributing factor to the reduced FS outcomes.
The decreased FS of 3D-printed resins in contrast to milled ones could stem from its layer-based manufacturing, post-curing conditions, and the presence of leftover monomer2. The leftover monomer functions as a plasticizer, which diminishes the FS of the produced denture base26. On the other hand, The increased strength of milled materials may have been linked to the ideal pressure and temperature conditions during the polymerization of the milled resin, resulting in a highly cross-linked structure that are dense, with minimal shrinkage, porosity, or free monomers41.
Generally, both milled and 3D-printed resins experienced a notable reduction in FS post-thermocycling, but the 3D-printed samples deteriorated at a faster rate than the milled ones74. The deterioration of the 3D-printed samples may have been connected to residual stress from water uptake and temperature fluctuations, which can cause the layers in a 3D-printed item to separate, leading to fractures and long-term structural issues75. Multiple studies provided rationale for these outcomes via the internal composition of the 3D-printed materials: the resin from the research group possesses a reduced conversion of monomer to polymer, potentially influencing the mechanical properties of the substance56.
To begin, Gad et al.43 interestingly explored regarding the connection between consecutive layers of the 3D-printed resins, noting that stratification in a direction aligned with the load’s direction may lead to inadequate adhesion and, as a result, exert a detrimental effect on the layer’s own resistance. Researchers discovered empty spaces at the fractured locations of the printed specimens as well, therefore these areas were recognized as elements that lead to the reduction in mechanical efficiency. The presence of voids in printed resins may be attributed to the possible inclusion of air voids/bubbles during the layered printing of the specimen as well, which influences the strength of the specimens43. These gaps can weaken the interfacial bonding layers, resulting in delamination and the onset of fractures.
Only a few studies reported higher results for their tested 3D-printed materials compared to either conventional or milled bases. The 3D-printed Temp Print composite tested demonstrated encouraging outcomes, exhibiting the highest FS among the pink resin38. Another study reported superior FS values of the 3D-printed resin bases amongst all the groups52. They explained that the post-curing duration they applied was 30 + 30 min, which exceeds the post-curing time reported in comparable studies within the literature clarifies why the 3D-printed samples showed greater FS52. This is based on the fact that as the total curing duration extends, the conversion of double bonds rises as well.
Therefore, lengthening the final curing duration can enhance the mechanical characteristics of 3D-printed denture-base materials, and eventually the FS of materials made through 3D printing rises with extended curing time76. SLA and DLP are the main technologies for denture base fabrication. One study explored FDM29 (Table 2).
The mechanical characteristics of 3D-printed resins are influenced by build parameters, orientation angle during construction, the post-curing procedure77,78 the software used, the number and thickness of layers, and shrinkage occurring between layers79,80,81. The printing settings are typically established by the manufacturer and can only be adjusted for layer thickness (layer height) and printing orientation. The permissible layer thickness is 100 μm and varies between 25 and 200 μm79. Nonetheless, the strength of the 3D-printed item improves as the layer thickness diminishes, thanks to enhanced resin curing and minimized dimensional alterations81,82. Therefore, careful optimization of these parameters is critical for producing clinically durable prostheses.
Printing orientation is a critical manufacturing parameter that significantly influences the mechanical properties of 3D-printed objects83,84. Recent systematic reviews have reported that FS is notably higher when printing is performed at a horizontal orientation85.The superior FS observed in specimens printed horizontally can be attributed to the alignment of layers perpendicular to the applied forces, enhancing mechanical integrity. Conversely, tilted and upright printing orientations have been shown to be less effective in improving mechanical properties85. However, in the included studies, the majority of printing angles were 90 (Table 2).
Furthermore, longer post-curing durations have demonstrated improvements in the FS of specimens printed at standard orientations (0°, 45°, and 90°), particularly when employing stereolithography (SLA) and digital light processing (DLP) technologies. This underscores the intricate relationship between post-processing protocols and printing orientation in optimizing the mechanical performance of denture base materials. These findings are consistent with our subgroup analysis, which demonstrated higher FS values in studies using 0° printing orientation. This supports the interpretation that build direction significantly influences performance outcomes and may contribute to the observed heterogeneity in results.
Surface hardness
Another essential mechanical property influencing wear resistance, microbial adhesion, and overall longevity of denture bases is surface hardness, which shows the degree of a material’s resistance to surface plastic deformation. Consequently, the hardness of acrylic indicates the likelihood of deterioration of the polymer matrix. As a result, with a decrease in hardness, the matrix deteriorates, raising the likelihood of material fracture, along with the possibility of microbial retention and pigmentation. As a result, the lifespan of the denture base reduces86.
Harder surfaces resist mechanical wear, reduce biofilm accumulation, and maintain color stability over time87. Milled denture bases exhibited the highest surface hardness, with values consistently exceeding 30 VHN, making them the most resistant to wear and surface degradation. Milled PMMA achieves superior hardness due to high-density polymerization and cross-linking in pre-polymerized pucks, minimizing porosity and residual monomer content2,16,29. Conventional heat-polymerized PMMA showed moderate hardness, typically in the range of 20–28 VHN, surpassing most 3D-printed resins.
Conventional heat-polymerized resins undergo adequate polymerization under heat and pressure, but their hardness is lower than milled materials due to polymerization shrinkage and potential porosities6,18,50. 3D-printed denture bases displayed a wide range of hardness values (10–34 VHN), depending on resin formulation, layer thickness, and post-curing conditions87. 3D-printed materials, especially those using SLA/DLP, tend to have lower hardness due to incomplete polymerization, layering defects, and residual monomer presence, resulting in increased susceptibility to surface degradation and bacterial colonization88.
Many printing parameters have an effect on hardness. Post-curing duration and UV exposure significantly influence the hardness values. The post-curing time is directly correlated with the surface hardness of the material, which is attributed to the degree of conversion. Prolonged post-curing enhances polymer cross-linking, improving hardness89. Post-curing plays a more dominant role than printing orientation90,91. Furthermore, resin composition plays a major role, with some photopolymerized resins approaching conventional hardness values, while others remain inferior.
All printing parameters must be optimized to obtain the best orientation for utilizing printed resin parts with optimum properties. Applying 10 min. post-curing showed higher hardness at 0°92whereas 45° and 90° orientations showed improved hardness when low-viscosity resins were used. Low-viscosity resins showed higher overall hardness than high-viscosity resins, irrespective of the layer thickness and build-up angle93. Moreover, thinner layers (< 50 μm) improve resolution but may reduce hardness due to increased light scattering and potential oxygen inhibition at the layer surface. Thicker layers (> 100 μm) enhance durability but can introduce layering inconsistencies, affecting overall hardness6.
Fracture toughness
Fracture toughness is a critical property determining a material’s ability to resist crack propagation under stress94. Higher fracture toughness reduces the risk of sudden denture fractures, particularly in patients with high occlusal forces. Milled denture bases exhibited the highest fracture toughness, with values exceeding 4.16 ± 0.06 MPa m¹/², making them the most resistant to crack propagation. Milled PMMA has superior fracture toughness due to its high-density polymer structure and elimination of internal defects owing to the pre-polymerization of the PMMA blocks resulting in better intermolecular bonding and fewer voids, leading to superior toughness74.
Conventional heat-polymerized PMMA demonstrated moderate fracture toughness, superior to 3D-printed materials but still lower than milled resins, benefiting from high-pressure polymerization. However, these conventional resins are still prone to processing defects such as porosities and residual stresses95. 3D-printed denture bases on the other side, had significantly lower fracture toughness, with values ranging from 0.78 to 3.82 MPa m¹/², indicating higher susceptibility to chipping and crack formation. Formlabs and Dentca (3D-printed) had notably lower toughness compared to heat-polymerized and milled resins. Leucitone 199 (conventional) outperformed some CAD-CAM milled resins, demonstrating that polymerization technique influences toughness96.
Regarding 3D-printed resins, printing parameters are among the most influential factors affecting the resin fracture toughness, primarily due to layering defects caused by additive manufacturing, which weaken interlayer bonding. Incomplete polymerization in photopolymerized resins (SLA, DLP leads to weaker molecular chains. Presence of voids and micro-cracks could also reduce the resistance to stress and impact forces. Thicker layers (> 100 μm) may increase fracture resistance by reducing weak interlayer zones. Thinner layers (< 50 μm) improve detail accuracy but may introduce brittleness due to increased polymerization inconsistencies.
Horizontally printed specimens generally exhibit higher fracture toughness, as interlayer bonds align better with applied forces. Vertically printed specimens are more prone to crack propagation along layer interfaces. Extended UV and heat curing improve polymer cross-linking, thus enhancing fracture toughness. Insufficient post-curing leads to weak polymer chains, reducing fracture resistance97.
Impact strength
Impact strength is especially important in elderly or disabled populations where accidental dropping of prostheses is common or those with high bite forces. A denture with low impact strength is more likely to fracture upon sudden stress, leading to frequent repairs or remakes. Milled denture bases demonstrated the highest impact strength due to their dense polymer network and absence of layering defects, which allows them to absorb and distribute forces effectively, making them the most resistant to sudden forces and accidental drops98.
Conventional heat-polymerized PMMA exhibited moderate impact strength, superior to most 3D-printed materials but still lower than milled resins. 3D-printed denture bases had the lowest impact strength, with values ranging from 2.44 to 6.32 kJ/m², indicating higher susceptibility to sudden fractures. Conventional PMMA exhibits moderate impact strength, benefiting from cross-linked polymerization but still prone to stress concentrations from polymerization shrinkage66.
The lower values for 3D-printed bases (as low as 2.44 kJ/m²) suggest limited resilience under sudden impact. Build orientation and layer thickness significantly affect this property. Horizontally printed specimens exhibit higher impact strength due to better interlayer bonding and even stress distribution. Vertically printed specimens are more prone to fractures along layer interfaces. Thicker layers (> 100 μm) may slightly improve impact resistance by reducing the number of weak interlayer zones. Thinner layers (< 50 μm) increase resolution but may reduce impact resistance due to a higher number of layers with weak bonding. Extended UV and heat curing enhance polymer cross-linking, improving impact resistance. Inadequate post-curing leaves residual monomers, leading to reduced toughness and increased brittleness6.
Milled PMMA remains the best option for long-term dentures, particularly for patients with a high risk of dropping their prosthesis. 3D-printed denture bases require modifications to improve impact resistance, such as reinforcement with nanoparticles or hybrid polymer formulations. Conventional PMMA is a suitable alternative, but it may require reinforcement with impact modifiers to improve performance8,99. These findings underscore the need for material and protocol optimization in 3D printing for long-term prosthesis success.
Milled PMMA exhibited the highest impact resistance, followed by conventional heat-polymerized resins, while 3D-printed resins were the most brittle. Thermocycling had a significant effect on the impact strength of 3D-printed resins, further reducing their performance over time. Some high-performance 3D-printed materials showed impact strength values approaching those of conventional PMMA, but overall, most 3D-printed materials remain more fragile due to layer-by-layer fabrication, which introduces weak interlayer bonding that compromises energy absorption. Incomplete polymerization may also lead to a lower cross-linking density and increased brittleness. Furthermore, the presence of micro-cracks and voids could act as fracture initiation points under sudden impact6.
Clinical relevance
The mechanical properties of denture base materials, particularly flexural strength (FS) and surface hardness are directly related to clinical performance, longevity, and patient satisfaction. FS is crucial for withstanding masticatory forces and preventing midline fractures, which are a common mode of failure in complete dentures. Studies have reported that up to 63% of denture fractures occur within the first three years of use, often due to inadequate mechanical strength. Materials with higher FS, such as milled PMMA, are less likely to fracture under functional loads or accidental drops, contributing to longer service life and fewer repairs. In contrast, 3D-printed bases, with their wider variability and generally lower FS, may be more susceptible to such failures, especially in patients with high bite forces or parafunctional habits.
Surface hardness is also clinically significant, as it affects wear resistance, hygiene, and esthetics. Harder denture bases resist scratching and abrasion from cleaning, maintaining smooth surfaces that discourage microbial adhesion and biofilm formation. This is important for patient comfort, oral health, and the prevention of staining or odor. Softer materials may become rougher over time, increasing the risk of microbial colonization and compromising hygiene. The results, which show milled bases consistently outperforming 3D-printed ones in hardness, suggest that milled materials are preferable for long-term use, while 3D-printed bases may be suitable for interim prostheses or cases where rapid fabrication is prioritized.
Clinical implications
-
Milled denture bases remain the gold standard for patients requiring durable, long-term prostheses due to their high strength, wear resistance, and fracture toughness.
-
3D-printed dentures may be suitable for temporary or interim prostheses but require material modifications to improve durability.
-
Surface hardness directly impacts microbial adhesion, rougher 3D-printed materials may promote biofilm formation, necessitating optimized post-processing protocols.
-
Based on current evidence, 3D-printed denture bases may be suitable for interim use or situations requiring rapid fabrication. However, their long-term clinical performance remains inferior to milled bases, except for selected high-performing materials in specific scenarios.
Challenges in 3D-printed denture base fabrication
Despite technological advancements, the integration of 3D printing for denture base fabrication faces several challenges that hinder its clinical adoption as a long-term solution. These challenges can be categorized into material limitations, mechanical performance, processing inconsistencies, and clinical viability.
Mechanical limitations
Lower flexural strength & fracture toughness:
-
Most 3D-printed denture bases fail to match the strength of milled or conventional PMMA, leading to a higher risk of midline fractures under cyclic loading.
-
The layer-by-layer fabrication process introduces weak interlayer bonding, reducing overall durability.
Brittleness & reduced impact strength:
-
3D-printed denture bases often lack the toughness needed to withstand accidental drops, making them more susceptible to fractures upon impact.
-
Thermocycling studies show that impact strength deteriorates faster in 3D-printed resins compared to milled PMMA.
Inconsistent surface hardness & wear resistance:
-
Variations in post-curing time and layer thickness affect hardness, impacting the wear resistance and microbial adhesion of the denture.
-
Softer surfaces tend to promote plaque accumulation, increasing the risk of biofilm formation and staining.
Printing & post-processing challenges
Incomplete polymerization & residual monomers:
-
Photopolymerized 3D-printed resins exhibit a lower degree of polymer conversion, leading to the presence of residual monomers that can compromise biocompatibility.
-
Extended post-curing is required to improve hardness, but excessive curing can increase brittleness.
Effects of printing orientation & layer thickness:
-
Printing at a 90° angle generally yields higher flexural strength, but certain orientations lead to anisotropic properties, making the denture weaker in specific stress directions.
-
Layer thickness inconsistencies create microvoids, which reduce fracture resistance and contribute to early material failure.
Resin composition variability:
-
Different manufacturers use proprietary resin formulations, leading to variability in mechanical properties and compatibility with post-processing protocols.
-
Standardization of resin formulations is still lacking in the industry.
Biocompatibility & clinical limitations
Cytotoxicity concerns due to residual monomers:
-
Some 3D-printed resins release unpolymerized monomers, which can cause mucosal irritation, allergic reactions, and cytotoxicity.
-
Biocompatibility studies are needed to assess the long-term effects of these materials in the oral environment.
Dimensional stability & fit issues:
-
Milled denture bases provide superior accuracy and fit, while 3D-printed dentures may shrink or distort during post-processing.
-
Thermal cycling studies indicate that printed dentures experience higher volumetric changes, affecting occlusion and adaptation over time.
Microbial adhesion & hygiene maintenance:
-
The higher porosity of 3D-printed denture bases increases microbial adhesion, which can lead to denture stomatitis and infections.
-
Chemical denture cleansers may further degrade the surface properties, reducing hardness and structural integrity over time.
Regulatory & standardization issues
Lack of standardized testing protocols:
-
Studies use different testing methods and parameters, leading to inconsistent findings regarding mechanical performance.
-
ISO 20795-1 standards for denture base polymers were originally designed for heat-polymerized PMMA, and updated guidelines for 3D-printed resins are needed.
Limited long-term clinical studies:
-
Most research on 3D-printed denture bases remains limited to in vitro studies, with few long-term clinical evaluations available.
-
Patient-centered studies evaluating wear resistance, occlusal performance, and fracture rates over time are essential.
Future directions to overcome challenges
To improve the clinical viability of 3D-printed denture bases, future research should focus on:
-
1.
Developing high-performance resin formulations incorporating nanoparticles (e.g., zirconia, TiO₂, graphene) to enhance mechanical strength and toughness.
-
2.
Optimizing post-curing protocols to maximize polymer conversion while maintaining adequate fracture resistance.
-
3.
Advancing hybrid fabrication techniques, such as combining 3D printing with post-milling or heat polymerization, to improve mechanical stability.
-
4.
Conducting long-term clinical trials to evaluate wear resistance, microbial adhesion, and patient-reported outcomes.
-
5.
Future research should focus on developing standardized mechanical testing protocols, exploring new resin chemistries, and optimizing 3D printing parameters. Interdisciplinary collaboration among materials scientists, engineers, and prosthodontists will be crucial for advancing the field.
Limitations
-
High heterogeneity among included studies.
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Variability in resin formulations and testing standards.
-
In vitro nature of most studies.
-
Potential publication bias.
-
Sample size constraints.
While the meta-analysis offers meaningful comparisons, generalizability to clinical practice is limited due to the in vitro nature of the studies included. Furthermore, the rapid increase in publications on 3D-printed prosthetics may introduce publication bias, favoring studies with positive outcomes. Standardized mechanical testing protocols and clinical trials are needed to validate in vitro findings.
This review’s strengths include a comprehensive search strategy, rigorous risk of bias assessment, and robust meta-analytic methodology. The findings provide clinically relevant insights for optimizing denture base fabrication.
Conclusion
This systematic review confirms that milled denture bases outperform 3D-printed and conventional PMMA in mechanical performance, particularly in flexural strength, surface hardness, and fracture toughness. While 3D printing offers advantages in efficiency, customization, and material conservation, its mechanical limitations hinder its widespread adoption for permanent prostheses. Advances in resin formulations, post-curing methods, and reinforcement strategies are essential to improve its clinical viability. Key conclusions of this review are: -.
-
Milled PMMA remains the superior choice for long-term denture durability due to its high mechanical strength and wear resistance.
-
3D-printed denture bases require material optimization and enhanced post-processing techniques to compete with milled alternatives.
-
Future research should focus on integrating nanotechnology and hybrid processing techniques to enhance the strength and longevity of 3D-printed dentures.
Data availability
All data generated or analyzed during this study are included in this published article. Additional datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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A.Z. and D.A. conceived and designed the study. D.A, M.A, M.M and E.E. conducted the systematic literature search and data extraction. R.W. performed the statistical analyses and meta-analysis. D.A , W.A, E.E, A.S , M.A, M.M and A.Z. drafted the manuscript. All authors contributed to the interpretation of results, critically revised the manuscript for important intellectual content, and approved the final version of the manuscript.
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Azab, A., Abdelhady, W.A., Elwakeel, E. et al. Systematic review and meta analysis of mechanical properties of 3D printed denture bases compared to milled and conventional materials. Sci Rep 15, 29207 (2025). https://doi.org/10.1038/s41598-025-14288-2
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DOI: https://doi.org/10.1038/s41598-025-14288-2