Intraoral scanner featuring transillumination for proximal caries detection. An in vitro validation study on permanent posterior teeth

Michou, Stavroula; Vannahme, Christoph; Bakhshandeh, Azam; Ekstrand, Kim R.; Benetti, Ana Raquel

doi:10.1016/j.jdent.2021.103841

Cited by 25 publications

(24 citation statements)

References 23 publications

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“…Multicolor 3D‐printed materials could achieve an even better esthetic result but are not yet available for intraoral use. Especially against the background of a novel possibility to capture internal structures by near‐infrared (NIR) transillumination, which is already implemented in some IOS for caries detection 8 . This means that internal tooth structures, such as the dentin and pulp, might also be considered as input data in manufacturing colored 3D‐models or prosthodontic restorations.…”

Section: Discussionmentioning

confidence: 99%

“…Especially against the background of a novel possibility to capture internal structures by near-infrared (NIR) transillumination, which is already implemented in some IOS for caries detection. 8 This means that internal tooth structures, such as the dentin and pulp, might also be considered as input data in manufacturing colored 3D-models or prosthodontic restorations. These thinkable applications represent an exciting approach to create biomimetic histo-anatomic restorations that reflect the multilayered three-dimensionality in addition to the complex mechanical and optical properties of natural teeth.…”

Section: D-printing Of the Colored 3d-modelsmentioning

confidence: 99%

“…Today, several IOS are capable of recording color, surface, and tooth structure information digitally in accurate, reliable, and repeatable workflows 6–10 . Besides having this information available in the computer‐aided design (CAD) software, the Polyjet technology, a 3D‐material jetting process, offers a way to convert this data into true‐colored physical models.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5] Today, several IOS are capable of recording color, surface, and tooth structure information digitally in accurate, reliable, and repeatable workflows. [6][7][8][9][10] Besides having this information available in the computer-aided design (CAD) software, the Polyjet technology, a 3D-material jetting process, offers a way to convert this data into truecolored physical models. Since the transfer of color information is not achievable with analog impressions, 3D-printed colored 3D-models seem to be a genuine "killer application" in manufacturing fixed restorations.…”

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confidence: 99%

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Application of 3D‐printed colored 3D‐models for the fabrication of full ceramic restorations: A technical report

Schweiger

Güth

Edelhoff

et al. 2022

J Esthet Restor Dent

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Objective This paper presents a novel digital workflow that expedites and facilitates the manufacturing of high‐end full‐ceramic restorations based on “Print and Press”‐Technology combined with 3D‐printed colored 3D‐models. Clinical considerations Despite ongoing innovations and developments in the digital workflow, the precision, and the final esthetic outcome is still limited compared with conventional press ceramics. The proposed method combines the advantages of digital scan‐ and design technologies with the proven conventional press‐technology to accomplish high‐end full‐ceramic restorations. The restoration is digitally designed, the data set is 3D‐printed in resin that can be burned out, subsequently conventionally embedded and pressed. Final esthetic finishing of the partial restorations is done on a 3D‐printed physical colored 3D‐model. Conclusion The report describes synergetic effects of digital and analog procedures. 3D‐printed colored 3D‐models can positively support the manufacturing of full ceramic restorations regarding their optical integration. Therefore, the use of 3D‐printed colored 3D‐models signifies a new innovative technique with many promising application areas. Clinical significance The combination of excellent clinical long‐term data for pressed ceramic restorations and proven digital processes, like intraoral scanning, design, and additive manufacturing, in the dental field promise an individual workflow for predictability and excellent esthetics.

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Section: Discussionmentioning

confidence: 99%

Section: D-printing Of the Colored 3d-modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Application of 3D‐printed colored 3D‐models for the fabrication of full ceramic restorations: A technical report

Schweiger

Güth

Edelhoff

et al. 2022

J Esthet Restor Dent

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“…Secondly, color data can be recorded, compared, and processed further in manufacturing [ 33 ]. Moreover, internal tooth structures can be imaged in real time by near-infrared imaging (NIRI) technology, which supports caries detection by means of transillumination [ 34 ]. Further properties that are relevant for the long-term success of restorations should be determined in additional investigations.…”

Section: Discussionmentioning

confidence: 99%

Arithmetic Relationship between Fracture Load and Material Thickness of Resin-Based CAD-CAM Restorative Materials

et al. 2021

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Data on the long-term behavior of computer-aided designed/computer-aided manufactured (CAD-CAM) resin-based composites are sparse. To achieve higher predictability on the mechanical behavior of these materials, the aim of the study was to establish a mathematical relationship between the material thickness of resin-based materials and their fracture load. The tested materials were Lava Ultimate (LU), Cerasmart (GC), Enamic (EN), and Telio CAD (TC). For this purpose, 60 specimens were prepared, each with five different material thicknesses between 0.4 mm and 1.6 mm (N = 60, n = 12). The fracture load of all specimens was determined using the biaxial flexural strength test (DIN EN ISO 6872). Regression curves were fitted to the results and their coefficient of determination (R2) was computed. Cubic regression curves showed the best R2 approximation (LU R2 = 0.947, GC R2 = 0.971, VE R2 = 0.981, TC R2 = 0.971) to the fracture load values. These findings imply that the fracture load of all tested resin-based materials has a cubic relationship to material thickness. By means of a cubic equation and material-specific fracture load coefficients, the fracture load can be calculated when material thickness is given. The approach enables a better predictability for resin-based restorations for the individual patient. Hence, the methodology might be reasonably applied to other restorative materials.

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Deep Learning zur Kariesdiagnostik

Krämer

Frankenberger²

2023

Oralprophylaxe Kinderzahnheilkd

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Intraoral scanner featuring transillumination for proximal caries detection. An in vitro validation study on permanent posterior teeth

Cited by 25 publications

References 23 publications

Application of 3D‐printed colored 3D‐models for the fabrication of full ceramic restorations: A technical report

Application of 3D‐printed colored 3D‐models for the fabrication of full ceramic restorations: A technical report

Arithmetic Relationship between Fracture Load and Material Thickness of Resin-Based CAD-CAM Restorative Materials

Deep Learning zur Kariesdiagnostik

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