Intraoral scanners

Revilla‐León, Marta; Frazier, Kevin; Costa, Juliana B. Da; Kumar, Purnima; Duong, Mai-Ly; Khajotia, Sharukh S.; Urquhart, Olivia

doi:10.1016/j.adaj.2021.05.018

Cited by 39 publications

(11 citation statements)

References 14 publications

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“…Despite the high accuracy and precision of intraoral scanners, ongoing research aims to further enhance scanning technology by addressing potential differences in resulting 3D models based on various factors, including scanner model, color variation, distance from the object, scanning pattern, and ambient temperature (Flügge et al, 2016; Abduo and Elseyoufi, 2018; Kihara et al, 2020; Amornvit et al, 2021; Revilla-Leon et al, 2021; Revilla-León et al, 2022; Afrashtehfar et al, 2022). This field of technological advancement is rapidly evolving, with each new model bringing significant progress.…”

Section: Discussionmentioning

confidence: 99%

Assessing tooth wear progression in primates: A longitudinal study using intraoral scanning technology

Towle,

Krueger,

Hernando

et al. 2024

Preprint

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Intraoral scanners are widely used in a clinical setting for orthodontic treatments and tooth restorations, and are also useful for assessing dental wear and pathology progression. In this study, we assess the utility of using an intraoral scanner and associated software for quantifying dental tissue loss in non-human primates. An upper and lower second molar for 31 captive hamadryas baboons (Papio hamadryas) were assessed for dental tissue loss progression over multiple years (n = 62 teeth). The animals are part of the Southwest National Primate Research Center and were all fed the same monkey-chow diet over their lifetimes. Two molds of each dentition were taken at either two- or three-year intervals, and the associated casts scanned using an intraoral scanner (Medit i700). Tissue loss was calculated in WearCompare by superimposition of the two scans followed by subtraction analysis. Four individuals had dental caries, and were assessed separately. The results demonstrate the reliability of these techniques in capturing tissue loss data, evidenced by the alignment consistency between scans, lack of erroneous tissue gain between scans, and uniformity of tissue loss patterns among individuals (e.g., functional cusps showing the highest degree of wear). The average loss per mm2per year for all samples combined was 0.05 mm3(0.04 mm3for females and 0.08 mm3for males). There was no significant difference in wear progression between upper and lower molars. Substantial variation in the amount of tissue loss among individuals was found, despite their uniform diet. These findings foster multiple avenues for future research, including the exploration of wear progression across dental crowns and arcades, correlation between different types of tissue loss (e.g., attrition, erosion, fractures, caries), interplay between tissue loss and microwear/topographic analysis, and the genetic underpinnings of tissue loss variation.

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Section: Discussionmentioning

confidence: 99%

Assessing tooth wear progression in primates: A longitudinal study using intraoral scanning technology

Towle,

Krueger,

Hernando

et al. 2024

Preprint

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“…Dental literature has reported the plasticity of the periodontal ligament necessary to maintain the homeostasis within the periodontium. 38 The fibroblasts of the periodontal ligament are a significant factor in regulating the adaptation of the periodontium to extrinsic and intrinsic stimuli. The resiliency, or plasticity, of the periodontal ligament allows 100 μm of tooth micromovement .…”

Section: Intraoral Scannersmentioning

confidence: 99%

“…The resiliency, or plasticity, of the periodontal ligament allows 100 μm of tooth micromovement . 38 Occlusal collisions or mesh interpenetrations can be identified when virtual articulated casts penetrate one into each other (Figure 2). 36,[77][78][79] Occlusal collisions are caused by the tooth location discrepancy resulting from the periodontal ligament plasticity between the recording of intraoral digital scans of the maxillary and mandibular arches and the virtual occlusal records.…”

Section: Intraoral Scannersmentioning

confidence: 99%

“…[20][21][22][23][24][25] Within the incorporation of digital technologies in dentistry, additional armamentarium such as ultrasonic systems, [26][27][28] photometric devices, [29][30][31][32][33] and artificial intelligence (AI) [34][35][36][37] algorithms have been described for tracking and recording the mandibular motion of the patient. 38 Additionally, in some of these systems, the recorded mandibular motion can be integrated into the computer-aided design (CAD) software programs for designing dental prostheses. [26][27][28][29][30][31][32][33] The growing use of intraoral scanners (IOSs) for different dental interventions, 39 including acquiring virtual articulated diagnostic and definitive casts, provides a powerful digital alternative for digitizing and virtually analyzing the static and dynamic dental occlusion of a patient, although the accuracy and reliability of these digital methods for occlusal analysis is still unclear.…”

mentioning

confidence: 99%

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An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices

Revilla‐León

Kois

Zeitler³

et al. 2023

J Esthet Restor Dent

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Objectives Within the development of digital technologies, dental professionals aim to integrate virtual diagnostic articulated casts obtained by using intraoral scanners (IOSs), the mandibular motion of the patient recorded by using an optical jaw tracking system, and the information provided by computerized occlusal analysis systems. This article describes the various digital technologies available for obtaining the digital occlusion of a patient and outlines its challenges and limitations. Overview The factors that influence the accuracy of the maxillomandibular relationship of diagnostic casts obtained by using IOSs are reviewed, as well as the occurrence of occlusal collisions or mesh interpenetrations. Different jaw tracking systems with varying digital technologies including ultrasonic systems, photometric devices, and artificial intelligence algorithms are reviewed. Computerized occlusal analysis systems for detecting occlusal contacts in a time sequential manner with the pressure distribution on the occlusal surfaces are reviewed. Conclusions Digital technologies provide powerful diagnostic and design tools for prosthodontic care. However, the accuracy of these digital technologies for acquiring and analyzing the static and dynamic occlusion need to be further analyzed. Clinical Significance Efficiently implementing digital technologies into dental practice requires an understanding of the limitations and state of current development of the digital acquisition methods for digitizing the static and dynamic occlusion of a patient by using IOSs, digital jaw trackers, and computerized occlusal analysis devices.

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“…Intraoral scanners (IOSs) are increasingly used in different dental procedures (Revilla‐León, Frazier, et al, 2021). IOSs provide a digital alternative to acquire definitive implant casts for fabricating tooth‐ and implant‐supported crowns and short‐span fixed dental prostheses (Hasanzade et al, 2021; Morsy et al, 2021; Ren et al, 2022; Tabesh et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Influence of arch location and scanning pattern on the scanning accuracy, scanning time, and number of photograms of complete‐arch intraoral digital implant scans

Gómez‐Polo

Cascos

Ortega

et al. 2023

Clinical Oral Implants Res

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Objectives: To measure the influence of arch location and scanning pattern on the accuracy, scanning time, and number of photograms of complete-arch implant scans acquired using an intraoral scanner (IOS). Materials and Methods:A maxillary (maxillary group) and mandibular (mandibular group) model with 6 implant abutments on each cast was digitized using a desktop scanner (control scans). Six subgroups were created based on the scanning pattern used to acquire the scans using an IOS (Trios 4): occluso-buccal-lingual (OBL subgroup), occluso-linguo-buccal (OLB subgroup), bucco-linguo-occlusal (BLO subgroup), linguo-buccal-occlusal (LBO subgroup), zigzag (ZZ subgroup), and circumferential (C subgroup). The control scans were used as a reference to measure the discrepancy with the experimental scans calculating the root mean square error. Two-way ANOVA and the pairwise comparison Tukey tests were used to analyze the data (α = .05).Results: Significant discrepancies in trueness (p < .001), precision (p < .001), scanning time (p < .001), and number of photograms (p < .001) were found. The maxillary group obtained poorer trueness and precision values, higher scanning times, and a larger number of photograms than the mandibular group. The C subgroup obtained the best trueness and precision values, but was not significantly different from the OLB, BLO, and LBO subgroups. The ZZ subgroup obtained the worst trueness and precision values (p < .05). The C subgroup obtained the lowest scanning time and number of photograms (p < .05).Conclusions: Arch location and scanning pattern influenced scanning accuracy, scanning time, and number of photograms of complete-arch implant scans.

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Intraoral scanners

Cited by 39 publications

References 14 publications

Assessing tooth wear progression in primates: A longitudinal study using intraoral scanning technology

Assessing tooth wear progression in primates: A longitudinal study using intraoral scanning technology

An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices

Influence of arch location and scanning pattern on the scanning accuracy, scanning time, and number of photograms of complete‐arch intraoral digital implant scans

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